- 1Department of Radiology, The First Hospital of Jilin University, Changchun, Jilin, China
- 2Department of Endocrinology, The First Hospital of Jilin University, Changchun, Jilin, China
- 3Department of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin, China
Cervical artery dissection (CAD), a critical etiological contributor of stroke in young adults, exerts direct influence on neurological prognosis through its vascular recanalization outcomes. However, pathological heterogeneity and ongoing controversies surrounding treatment strategies hinder the optimization of clinical decision-making; its prognosis is often not favorable. At present, there are a relative paucity of studies on recanalization of CAD. This review provides a concise overview of the pathological mechanisms and clinical challenges associated with CAD, along with recent advancements in advanced imaging modalities and clinico-anatomical classification systems. Furthermore, we critically evaluate current therapeutic paradigms and factors influencing recanalization while elucidating potential biological mechanisms underlying vascular restoration. A systematic analysis of translational utility in animal models is presented. Finally, based on the latest research progress in CAD and vessel recanalization, prospects are outlined aiming to establish a theoretical foundation for developing personalized and precise therapeutic approaches targeting CAD recanalization from multidimensional perspectives, and to offer reference for subsequent research.
1 Introduction
Cervical artery dissection (CAD), a prototypical pathological alteration of vascular wall structural integrity, involves intimal tearing or vasa vasorum rupture-induced intramural hematoma formation in carotid arteries (including internal carotid and vertebral arteries). This pathological process may secondarily lead to luminal thrombosis, vascular stenosis/occlusion, or pseudoaneurysm formation, representing a significant risk factor for ischemic stroke in young and middle-aged populations. Recent epidemiological data demonstrate that the incidence of spontaneous CAD increased nearly fourfold between 2002 and 2020. Notably, incidence rates in females rose more than twelvefold, revealing marked sex disparities. The current incidence of spontaneous CAD reaches 8.93 per 100,000 person-years, nearly triple previous estimates. Whilst CAD accounts for merely 2% of all ischemic strokes, its proportion escalates to 15%–25% among patients under 50 years old, exhibiting high mortality, disability, and recurrence rates—a triad of severe clinical characteristics that pose substantial threats to public health (Béjot et al., 2014; Debette and Leys, 2009; Griffin et al., 2024; Lee et al., 2006; Putaala et al., 2009; Schipani et al., 2024; Yaghi et al., 2024b).
The etiological spectrum of CAD exhibits significant heterogeneity, with approximately 90% of traumatic dissections originating from minor mechanical injuries during routine activities like cervical massage, weight training, or violent coughing (Keser et al., 2022). Multivariate analyses implicate multiple contributing factors including host genetic predisposition (such as Ehlers-Danlos syndrome type IV), vascular structural abnormalities (elongated styloid processes, vascular tortuosity), hormonal fluctuations (pregnancy, oral contraceptive use), and environmental influences (recent infections, smoking history, and educational level) (Debette and Leys, 2009; Kellert et al., 2018; Kim et al., 2016; Muthusami et al., 2013; Ogura et al., 2015; Rist et al., 2011; Subedi et al., 2017). Genetic susceptibility, in particular, appears to play a potentially influential role in CAD pathogenesis. Robust evidence supports associations between CAD and specific genetic disorders, especially monogenic connective tissue diseases including vascular Ehlers-Danlos syndrome, Marfan syndrome, osteogenesis imperfecta, and Loeys-Dietz syndrome (Debette and Markus, 2009; Germain, 2002). Molecular genetic studies further reveal that methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism and PHACTR1 rs9349379 [G] allelic variants significantly elevate CAD risk (Debette et al., 2015; Luo et al., 2014), though the correlation between these risk factors and vascular recanalization outcomes requires deeper investigation. Current research gaps persist regarding CAD-specific triggering factors and unique pathophysiological mechanisms.
The current evidence base suffers from scarcity of high-quality evidence-based studies, with most literature comprising case reports and small retrospective series lacking multicenter randomized controlled trial validation (Keser et al., 2022). Whilst technological advances in high-resolution MRI and CT angiography have markedly improved CAD detection rates, this has created growing tension with demands for precision medicine (Hakimi and Sivakumar, 2019). Contemporary treatment strategies (including thrombolysis, antiplatelet/anticoagulant therapy, and endovascular interventions) demonstrate substantial therapeutic heterogeneity in clinical practice, with 30%–40% of patients failing to achieve expected outcomes, highlighting critical knowledge gaps in recanalization mechanisms and influencing factors. As the core biological marker for treatment response evaluation, vascular recanalization involves multiple pathophysiological processes including thrombus dissolution, intimal repair, and hemodynamic remodeling. Yet systematic investigations into recanalization time windows, influencing factors (dissection type, thrombus burden, collateral status), and intervention strategies remain notably deficient.
This review synthesizes translational evidence across pathological mechanisms, imaging evaluation systems, and treatment strategies to propose a hemodynamic and molecular classification-guided therapeutic framework. Our objectives are twofold: providing theoretical foundations for optimizing personalized treatment decisions while delineating future directions for translational research.
2 Pathomechanisms and clinical challenges
2.1 Pathological mechanisms
The pathogenesis of cervical artery dissection (CAD) retains multiple unresolved aspects. Current academic consensus identifies mechanical injury to vascular wall structure as the primary etiology (Debette et al., 2011). When cervical arteries undergo abnormal tensile, rotational, or compressive forces, intimal layer continuity may be disrupted, creating mobile intimal flaps. Subsequent blood entry through damaged intima into the vessel wall interstitium progressively forms characteristic dissecting pseudo-lumens. Notably, some cases manifest as intramural hematomas secondary to vasa vasorum rupture within the internal elastic lamina without typical intimal tear features (Bond et al., 2021).
Imaging studies reveal these lesions induce significant vascular morphological changes: approximately 25% of internal cervical artery dissection (ICAD) patients develop complete luminal occlusion, while vertebral artery dissection (VAD) shows even higher complete occlusion rates reaching 50% (Salehi Omran, 2023). Concurrently, 56% of ICAD and 39% of VAD cases exhibit varying degrees of non-occlusive stenosis. When vascular injury extends to the adventitial layer, potentially hazardous pseudoaneurysmal dilatation may occur—a pathological change attributable either to hematoma extension into the adventitia or micro-ruptures of the external elastic lamina. Some scholars hypothesize that spontaneous CAD (sCAD) primarily involves outer arterial structures through outside-in mechanisms. This process initiates with degenerative changes at the medial-adventitial junction, accompanied by neovascularization from vasa vasorum-derived capillaries. Subsequent leakage from these nascent capillaries releases blood cells into connective tissue, forming microhematomas along medial/adventitial junctions that ultimately cause medial-adventitial separation (Völker et al., 2011).
From a pathophysiological perspective, CAD clinical manifestations primarily correlate with three mechanisms: First, mass effects from pseudo-lumen expansion may stimulate perivascular nerve plexuses to produce local symptoms. Second, turbulent flow at dissection sites promotes unstable thrombus formation, with subsequent embolic migration potentially causing distal arterial embolism (Bond et al., 2021; Debette et al., 2011). Third, severe luminal stenosis or occlusion may induce cerebral hypoperfusion, where compensatory collateral circulation—for example, Willis circle—becomes critical for maintaining cerebral blood flow (Wang et al., 2020). Particularly noteworthy, thromboembolic complications represent the most dangerous pathological outcome due to high disability rates, with occurrence closely related to hemodynamic disturbances at dissection sites. CAD is now recognized as a multifactorial disease resulting from synergistic interactions between genetic abnormalities and environmental factors. Research is in desperate need to enhance understanding of environmental and genetic predispositions for CAD while evaluating long-term outcomes.
In addition, carotid atherosclerosis is a common cause of carotid artery stenosis. Arterial dissection is essentially a separation between the layers of the vascular wall. On imaging, it often presents as crescent-shaped or ring-shaped intramural hematomas, intimal flaps, double-chambered signs, and flame-like occlusions (Rodallec et al., 2008). The lesion usually starts beyond the carotid bulb and extends into the brain. Atherosclerosis is caused by the formation of lipid plaques beneath the intima and leads to stenosis. On imaging, it mainly manifests as localized eccentric or centripetal plaques, and the plaques may show enhancement after enhancement, with the stenotic areas mostly located at the carotid bifurcation and the starting segment (Cai et al., 2025). Although carotid dissection and atherosclerosis are two independent diseases, they have an important association in clinical practice.
2.2 Clinical challenges
Clinical management of CAD recanalization faces significant challenges due to the conflict between pathological complexity and personalized treatment demands. Spontaneous recanalization rates vary widely (30%–60%) without reliable predictive biomarkers, hindering standardization (Babaoglu et al., 2014). While biomarkers show promise for thromboembolic risk stratification in acute phases—potentially optimizing antithrombotic strategies—clinical use is limited by insufficient validation (Babaoglu et al., 2014; Pabinger and Ay, 2009).
Diagnostic delays are problematic, with ∼3.3% of CAD patients misdiagnosed within 2 weeks pre-symptom onset, potentially missing critical early intervention opportunities (Liberman et al., 2020). Therapeutic selection is complicated by antithrombotic therapy’s “double-edged sword” effect: reducing stroke risk while potentially inhibiting endothelialization and increasing dissection extension risk (Peng et al., 2017). Recent RCTs show comparable short-term outcomes for anticoagulants vs antiplatelets, but small sample sizes limit reliability.
Endovascular advances offer opportunities. A 2023 multicenter study confirmed stenting achieves 100% immediate patency in conservatively unresponsive patients, with 1-year stroke recurrence rates similar to surgery (Feng et al., 2024). However, such intervention measures carry the risk of stent thrombosis, and may require anticoagulation therapy for the patients, thereby increasing the risk of bleeding.
Imaging limitations compound decision-making. CT/MRI exhibit 20%–30% false-negative rates for dynamic intramural hematoma evolution. Computational fluid dynamics models can predict 90% of shear stress abnormality regions but require large-scale validation before clinical use (Hakimi and Sivakumar, 2019).
Long-term outcome management suffers evidence gaps. A retrospective analysis of 1017 CAS procedures (907 patients) showed 14% 2-year and 17% overall in-stent restenosis rates (Lai et al., 2023). Crucially, even after successful mechanical thrombectomy, microcirculatory dysfunction (reduced capillary density, insufficient collateral flow) persists in ∼30% of cases, contributing to neurological deficits (Freitas-Andrade et al., 2020; Sperring et al., 2023).
These unresolved issues constrain therapeutic optimization. Future research must integrate multimodal imaging with exploration of molecular pathogenesis and recanalization mechanisms for precision medicine breakthroughs.
3 Imaging evaluation and classification
3.1 Advances in multimodal imaging
Current imaging for carotid artery dissection (CAD) recanalization includes MRI, CT, DSA, and ultrasonography. Traditional imaging modalities have established roles but also possess inherent limitations.
Digital subtraction angiography (DSA) remains the gold standard for CAD diagnosis, providing high-resolution visualization of lumen morphology, intimal flaps, and hemodynamics. However, its invasive nature, radiation exposure, and contrast-related risks limit its use as a first-line screening or follow-up tool, and it is now primarily reserved for planned interventions (Hakimi and Sivakumar, 2019). Computed tomography angiography (CTA) allows for rapid assessment with high sensitivity and specificity for dissection-related signs such as pseudoaneurysms, intimal flaps, and stenosis. Nevertheless, the slice thickness of conventional CTA (approximately 0.6 mm) poses limitations in depicting subtle dissection components (Keser et al., 2024; Rajendran et al., 2022). Magnetic resonance angiography (MRA) and conventional MRI sequences (e.g., T1-weighted imaging) offer non-invasive visualization of the vessel wall and lumen. However, their ability to detect acute intramural hematoma can be constrained by signal-to-noise ratio and motion artifacts, and they offer limited quantitative hemodynamic assessment (Hakimi and Sivakumar, 2019). Carotid ultrasonography enables dynamic, non-invasive monitoring and is widely used for follow-up, but it has relatively low spatial resolution, is operator-dependent, and provides poor visualization of the skull base segments (Baracchini et al., 2010; Strunk et al., 2021).To overcome these limitations, several novel and more experimental imaging techniques are being explored and applied.
High-resolution MRI (3D HRMRI) provides submillimeter isotropic resolution, clearly visualizing intramural hematomas, intimal flaps, and luminal stenosis while dynamically monitoring hematoma absorption and luminal remodeling—critical for guiding therapy timing. Its high spatial resolution enables precise identification of irregular intimal surfaces and mural thrombi, thereby improving ischemic stroke risk stratification (Hunter et al., 2012; Luo et al., 2016; Shao and Wang, 2025; Zhang et al., 2015; Zhu et al., 2022). Four-dimensional flow MRI (4D Flow MRI) permits quantitative hemodynamic analysis (e.g., wall shear stress, pressure gradients). When combined with 3D visualization, it facilitates post-recanalization stroke risk assessment (Kawano et al., 2022; Peper et al., 2020). Three-dimensional T1-SPACE sequences help elucidate the relationship between occlusion morphology and recanalization success (Chao et al., 2021).
Diffusion-weighted imaging (DWI) demonstrates exceptional sensitivity and specificity for crescent-shaped hyperintense signals in carotid hematomas without false positives. It provides immediate evidence of dissection, facilitating rapid initiation of antithrombotic therapy and planning for endovascular intervention (Adam et al., 2020). Notably, DWI reveals that stroke occurrence and patterning remain independent of dissection stenosis severity (Naggara et al., 2012). Susceptibility-weighted imaging (SWI) and motion-sensitized driven equilibrium (MSDE) improve hematoma detection by suppressing blood flow signals (Hakimi and Sivakumar, 2019).
In CT imaging, photon-counting CTA achieves ultrathin slices of 0.2 mm, significantly enhancing the visualization of dissection components compared to conventional CTA (0.6 mm) (Keser et al., 2024; Rajendran et al., 2022). In the ultrasound domain, intravascular ultrasound (IVUS) greatly enhances the precision of interventional procedures through real-time assessment of the lumen and vessel wall (Zlatancheva et al., 2022). Furthermore, contrast-enhanced ultrasound can provide evidence to guide anticoagulation decisions during thrombus remodeling, which may persist for up to 2 years (Baracchini et al., 2010; Strunk et al., 2021).
These advances pave the way for an integrated anatomical-functional-molecular evaluation system. Combining HR vessel wall MRI, photon-counting CTA, 4D flow MRI, and IVUS holds promise for guiding comprehensive CAD recanalization management (See Table 1).
Imaging for internal carotid artery (ICA) and external carotid artery (ECA) dissections aims to identify the intimal flap, double lumen, and intramural hematoma, but differs in focus (See Table 2). ICA dissection requires high diagnostic precision due to stroke risk, making high-resolution MRI vessel wall imaging the gold standard for definitive wall characterization. ECA dissection imaging prioritizes anatomical clarity of its tortuous branches, where CTA is often the preferred initial choice for its superior 3D spatial resolution. DSA is reserved for problem-solving or intervention in both, while ultrasound has limited utility, mainly for proximal screening.
3.2 Clinical significance of classification systems
Classification systems for cervical artery dissection hold substantial value for guiding clinical management and prognostic evaluation. Early research established that dissection typing correlates closely with clinical manifestations and healing rates, providing theoretical foundations for optimized treatment strategies (DiMusto et al., 2017).
The 2013 Borgess classification proposed by Perry and Al-Ali (2013) categorizes spontaneous CAD (sCAD) into type I (absence of intimal tear) and type II (presence of intimal tear) based on imaging characteristics of carotid intimal defects (See Figure 1). Their studies demonstrated significantly higher vascular healing rates in type I dissections receiving antithrombotic therapy compared to type II, suggesting classification-guided medication selection. However, no direct association emerged between classification and ischemic stroke risk—stroke occurrences predominantly clustered within the first post-dissection week, potentially related to sex factors (Reyes et al., 2023).
With expanding applications of endovascular therapy (EVT), limitations of traditional classifications for modern decision-making have become apparent. In 2024, a more refined imaging classification system was proposed, categorizing sCAD into four types: type I (intramural hematoma or dissection with <70% luminal stenosis), type II (≥70% stenosis), type III (dissecting aneurysm), type IVA (extracranial carotid occlusion), and type IVB (tandem occlusion) (See Figure 2) (Zhou B. et al., 2024). This system integrates stenosis severity, morphological features, and hemodynamic status to define intervention principles for each subtype: type I—antithrombotic therapy recommended for stroke prevention; types II-IVA—consideration of non-urgent EVT for hemodynamic improvement; type IVB—requiring emergent recanalization due to tandem lesions.
This stratified approach not only enhances therapeutic precision but also reveals EVT’s short-term potential for sCAD management—though long-term efficacy requires validation through large-scale prospective studies. In addition, proposals have emerged for developing recanalization scoring systems based on classification features, potentially adapting models from carotid occlusion recanalization scoring systems to quantify characteristics for optimized decision-making (Jin et al., 2023).
The evolution of CAD classification from purely anatomical descriptions toward integrated treatment-oriented frameworks provides critical structure for personalized therapy and outcome prediction.
4 Evidence-based translation of treatment strategies
4.1 Intravenous thrombolysis
Intravenous thrombolysis (IVT) for acute ischemic stroke secondary to extracranial/intracranial artery dissection has garnered support from multiple studies (Engelter et al., 2009). Current evidence confirms that intravenous alteplase or tenecteplase administration within 4.5 h of symptom onset significantly improves outcomes in CAD patients, with safety profiles comparable to non-dissection stroke etiologies. Although theoretical concerns exist regarding potential thrombolysis-induced intimal injury increasing risks of subarachnoid hemorrhage or cerebral hematoma in intracranial arterial dissections, large-scale studies demonstrate equivalent bleeding risks between dissection and non-dissection cohorts, establishing IVT as a safe and effective CAD treatment (Bernardo et al., 2019; Engelter et al., 2012; Lin et al., 2016).
For CAD-related acute ischemic stroke (CAD-AIS), while IVT has not conclusively demonstrated superior neurological recovery, its safety, manifested by intracranial hemorrhage rates matching non-CAD patients, has been validated, leading current guidelines to recommend IVT for all eligible patients (Shu et al., 2025).
4.2 Selection and time window for antithrombotic therapy
Optimal antithrombotic strategies for CAD-related stroke remain controversial. Current guidelines recommend anticoagulant or antiplatelet agents to reduce thromboembolic risks and prevent stroke recurrence, though relative efficacy between these approaches remains unclear. Two multicenter, open-label, blinded-endpoint studies demonstrated equivalent ischemic event prevention between aspirin and anticoagulants in CAD patients, with overall low recurrent ischemia rates suggesting treatment effects may be independent of antithrombotic class (Georgiadis et al., 2009; Markus et al., 2019).
Despite comparable efficacy and safety between anticoagulant and antiplatelet therapies for preventing ischemic events in CAD, clinical practice often favors anticoagulation due to its theoretical advantages in suppressing thrombus formation at dissection sites—potentially offering superior thromboembolic risk reduction. However, while anticoagulation may provide greater ischemic stroke prevention benefits, this comes with elevated major bleeding risks, necessitating careful individualization weighing ischemic prevention against hemorrhagic complications (Yaghi et al., 2024a). Current evidence indicates no significant overall safety differences between strategies, though optimal selection for specific patient subgroups requires further validation.
Guideline recommendations emphasize individualized antithrombotic strategies based on bleeding risks, dissection morphological characteristics, and dynamic monitoring. Imaging studies confirm typical arterial dissection healing cycles of 3–6 months, offering anatomical rationale for treatment duration. The 2017 European Stroke Organization consensus recommends an initial treatment period of 6–12 months, with discontinuation considered following successful recanalization and stabilization of symptoms—though patients with residual dissecting aneurysms or significant stenosis require prolonged courses (Ahmed et al., 2017).
Earlier American Heart Association guidelines, based on multicenter data analyses, proposed baseline 3–6 months treatment durations (Kleindorfer et al., 2021; Powers et al., 2019). A large clinical study (n = 1,390) revealed only 1.4% ipsilateral stroke/TIA incidence during antithrombotic treatment (≤6 months), compared to 3.4% overall event rates during subsequent observation (>6 months)—though no statistical differences emerged between treatment strategies (antiplatelet 3.3%, anticoagulant 2.0%, untreated 4.5%). Notably, only one stroke event during extended follow-up correlated with dissection recurrence (Pezzini et al., 2022).
Updated AHA guidelines stress comprehensive consideration of vascular repair status, hemodynamic features, and comorbidity profiles, similarly recommending minimum 3–6 months baseline therapy. For patients with anatomical residual lesions or high recurrence risks, periodic imaging-guided treatment adjustment is advised to maintain dynamic risk-benefit balance (Yaghi et al., 2024b). In summary, a 3–6 months antithrombotic treatment window appears most clinically appropriate.
4.3 Advances in endovascular therapy
Endovascular management of cervical artery dissection (CAD) increasingly emphasizes device innovation to address specific limitations, particularly in complex scenarios such as dissections with pseudoaneurysms. While stent implantation is often required to restore lumen integrity and prevent thromboembolism, the ideal stent design remains elusive, necessitating careful selection based on anatomical and pathological features.
Recent advancements highlight the role of novel stent constructs. For high cervical and long-segment extracranial dissections, braided stents like the Leo Plus stent demonstrate favorable technical success, long-term patency, and efficacy in promoting pseudoaneurysm occlusion (Lu et al., 2024). This aligns with evidence supporting stent placement as safe and effective for symptomatic extracranial internal carotid artery dissection, especially with high-grade stenosis or expanding pseudoaneurysm (Szmygin et al., 2025). In cases involving carotid artery reconstruction or dissecting aneurysms, covered stents and dual-layer micromesh stents (e.g., CASPER) offer solutions by providing immediate flow diversion and vessel wall reconstruction, effectively excluding pseudoaneurysms while maintaining patency (Sun et al., 2025; Matsukawa et al., 2022).
Technical refinements continue to evolve. Proximal embolic protection under flow arrest appears safe and feasible for symptomatic internal carotid dissections, reducing intraprocedural risk (Bruno et al., 2025). However, challenges persist, such as stent thrombosis; early administration of P2Y12 antagonists and adjunctive angioplasty are associated with higher 24-h stent patency, which is itself linked to better functional outcomes (Allard et al., 2023). Furthermore, bailout techniques have been developed to manage rare but serious intraprocedural complications, such as entanglement between stent retrievers and carotid stents, preserving vessel patency and patient safety (Malik et al., 2023).
Current consensus reserves intervention for cases refractory to medical therapy or those at high risk, aiming to rapidly restore flow. Future progress hinges on the development of dedicated dissection stents with enhanced conformability, thromboresistance, and smarter protection systems, supported by randomized trials to optimize patient selection and technical pathways.
5 Determinants of vascular recanalization
Mechanistic and influencing factor studies of CAD recanalization reveal multiple interrelated determinants. Research indicates hypertension comorbid with diabetes and obesity may elevate stroke and adverse outcome risks (Tao et al., 2015). Paradoxically, the specific impact of hypertension on recanalization remains a subject of debate—some studies suggest inhibitory effects (Wadhwa et al., 2023), while others report no correlation in younger cohorts (Arnold et al., 2009), possibly reflecting insufficient sample sizes. A meta-analysis comparing 2185 CAD patients with 3,185 healthy controls confirmed significant hypertension associations (Abdelnour, 2022; Abdelnour et al., 2022), supporting plausible hypertension-mediated recanalization impairment.
Moreover, recanalization processes exhibit clear temporal dependence, with approximately 80% occurring within 6 months post-symptom onset—independent of dissection location, morphology, or vascular pattern (Arauz et al., 2010; Patel et al., 2020). Low baseline NIH Stroke Scale scores, non-occlusive lesions (e.g., hypoechoic intramural hematomas), and early pharmacological intervention, such as antiplatelet therapy, correlate with higher recanalization rates and favorable neurological outcomes (Huang et al., 2020; Wadhwa et al., 2023), whereas complete vascular occlusion (particularly involving entire internal carotid artery segments) significantly reduces recanalization success (Hauck et al., 2011).
Chen et al. (2016) developed an angiographic feature-based scoring system (84.7% sensitivity, 67.9% specificity) for predicting occluded vessel recanalization, subsequently validated by independent studies. Key positive predictors include short occlusion duration, tapered ICA stump morphology, and patent distal ICA lumen via collateral filling—providing valuable insights for CAD recanalization strategies.
Regarding treatment strategies, some researchers propose anticoagulants may expand intramural hematomas and impede recanalization (Vicenzini et al., 2011), while others observe non-significant trends toward higher complete recanalization rates with anticoagulation (Nedeltchev et al., 2009). The multicenter prospective randomized CADISS trial found equivalent 1-year recanalization rates between anticoagulant and antiplatelet treatments (Markus et al., 2019), and the conclusion drawn by later researchers was consistent with this (Huang et al., 2020). Dual antiplatelet regimens and intravenous heparin efficacy require further validation, while endovascular therapy (EVT) for non-acute occlusions becomes increasingly feasible with technological advances—though distal embolism risks demand vigilance (Ma et al., 2024). Future integration of clinical, imaging, and molecular biomarkers into recanalization scoring systems may optimize intervention timing and modality selection.
6 Biological mechanisms of vascular recanalization
6.1 Hemodynamic factors
Research suggests CAD development correlates closely with localized wall stress abnormalities, where head movements may induce elevated intramural stress distal to carotid bulbs. Patients with abnormal vascular function/anatomy or chronic excessive stress exposure may experience accelerated pathological progression (Callaghan et al., 2011). Ischemic strokes in these patients frequently originate from arterial embolism or hemodynamic compromise—where anticoagulation significantly reduces embolic risks, while partial recanalization (without complete restoration) suffices to improve perfusion and reduce infarction risks.
Clinically, combined CT perfusion (CTP) and CTA enables dynamic intracranial hemodynamic assessment in acute dissection patients, informing endovascular recanalization decisions (Hakimi and Sivakumar, 2019). Flow-sensitive 4D MRI permits noninvasive analysis of wall shear stress (WSS) distribution at carotid bifurcations, revealing associations with geometric features (diameter ratios, bifurcation angles, tortuosity), stenosis severity, and surgical interventions—facilitating atherosclerosis risk localization and post-treatment WSS redistribution monitoring (Markl et al., 2010).
Computational fluid dynamics modeling demonstrates that stenosis exceeding 70% elevates WSS to 15–25 Pa (normal range: 1.5–3 Pa), increasing endothelial apoptosis 3.2-fold while driving smooth muscle phenotypic switching and vascular remodeling through PI3K/Akt pathways. Concurrently, low WSS and abnormal pressure gradients downstream of stenoses may directly contribute to acute ischemic stroke pathogenesis—offering novel hemodynamic targets for optimizing carotid stenosis management strategies.
6.2 Molecular mechanisms
Molecular regulation of CAD recanalization potentially involves multilevel networks encompassing genetic predisposition, extracellular matrix (ECM) homeostasis disruption, epigenetic regulation, and vascular smooth muscle cell (VSMC) phenotypic switching. Genome-wide association studies implicate PHACTR1 and collagen family gene, namely, COL12A1, variants in CAD pathogenesis—possibly mediated through endothelin-1 (EDN1) expression and collagen structure modulation (Debette et al., 2015; Gupta et al., 2017; Traenka et al., 2019).
Proteomic analyses of recurrent CAD further highlight ECM dysfunction as central to disease mechanisms: collagen/elastin fiber structural abnormalities (COL12A1, MFAP5), desmosomal protein (JUP)-mediated endothelial adhesion defects, and cystatin B deficiency-induced ECM hyperdegradation collectively constitute a “ECM homeostasis disruption-endothelial repair impairment” dual pathological axis, compromising vascular wall mechanical stability and re-endothelialization (Debette et al., 2014; Garrod et al., 2005; Mayer-Suess et al., 2020; Traenka and Debette, 2020; Ulbricht et al., 2004).
Simultaneously, microRNAs (e.g., miR-144-3p, miR-124) may drive VSMC transition from contractile to synthetic phenotypes via targeted regulation of elastin synthesis (TE) or SP1 signaling—activating MAPK pathways (P38/JNK) to exacerbate vascular structural damage, potentially representing molecular pathways for CAD recanalization (Cao et al., 2022; Ding et al., 2022; Qi et al., 2018; Small and Olson, 2011; Tang et al., 2017; Yang et al., 2022). Additionally, β-blockers may improve blood pressure control and vascular remodeling through β-adrenergic receptor/transforming growth factor-β1 axis modulation, providing genetic rationale for CAD secondary prevention (De Backer, 2023; Le Grand et al., 2023).
These discoveries not only construct molecular frameworks for understanding CAD recanalization barriers but also establish theoretical foundations for developing ECM-targeted therapies and recurrence risk stratification strategies.
7 Animal models and translational research
The absence of successful CAD models has perpetuated substantial uncertainty and controversy regarding optimal treatment strategies. Consequently, developing pathophysiologically relevant models represents an urgent research priority. Some researchers established a New Zealand white rabbit model featuring surgically created subadventitial dissection planes in internal carotid arteries (Kahler and Stuart, 1998), (See Figure 3A). However, absence of arterial thrombosis or stenosis during secondary observations limited human disease relevance. An experiment on a rabbit model of aneurysm induced by elastic elastin provided us with a reproducible model and similar hemodynamic characteristics to human cerebral arteries, which offered inspiration for our future exploration of the efficacy of new vascular endovascular devices (Wang and Yuan, 2012). Subsequently, another person generated elliptical intimal-medial defects or longitudinal incisions in canine common carotid arteries, producing aneurysmal dilatation or stenosis (Okamoto et al., 2002), (See Figure 3B). This study suggested intimal entry zone dimensions determine morphological changes post-experimental CAD. Given substantial interspecies differences, these models inadequately recapitulate human pathophysiology. Porcine common carotid diameters (4–5 mm) closely approximate human dimensions (4–6 mm), making porcine models potentially superior for human CAD simulation (Fujimoto et al., 2013). Thus, a CAD model was established using separators and balloon dilation in mini-pigs. This model can be easily adapted to individual research designs and investigate various possible intervention measures. It will become a useful tool for CAD pathophysiological translational research in the future (Peng et al., 2021), (See Figure 3C). Technical complexity, however, limits widespread adoption. Therefore, a CAD rat model based on mechanical torsion combined with BAPN (beta-aminopropionitrile) was proposed (Zhang et al., 2024), (See Figure 3D). This model may facilitate advanced CAD recanalization research. As vascular wall structural and functional integrity disruption constitutes essential pathological changes in arterial dissection, the lack of animal models accurately replicating human CAD pathophysiology remains a critical research gap—suggesting these models may serve as innovative platforms for future investigations.
8 Future directions for CAD recanalization
Future CAD recanalization research demands interdisciplinary integration and precision medicine paradigm innovation. Multimodal imaging technologies—incorporating high-resolution MRI, photon-counting CTA, intravascular ultrasound, and optical coherence tomography (OCT)—combined with dynamic 3D modeling and hemodynamic analysis enable quantitative assessment of dissection morphology, thrombus burden, and vascular remodeling potential. Artificial intelligence-driven radiomics may further enhance early high-risk lesion identification and dynamic recanalization strategy navigation, providing real-time decision support for personalized therapy.
Regarding pathological mechanisms, future investigations should explore CAD pathogenesis through vascular endothelial injury, inflammatory microenvironment imbalance, and extracellular matrix remodeling molecular networks—employing multi-omics approaches to identify potential recanalization mechanisms. Large-scale multicenter randomized controlled trials (RCTs) must clarify therapeutic efficacy differences across demographic subgroups (sex, age strata, dissection classifications) to establish stratified intervention windows and standardized outcome assessment frameworks, ultimately resolving current clinical controversies.
Endovascular technological innovation should leverage bioabsorbable stents, directional thrombolysis catheters, and other device advancements—combined with decade-long prospective cohort data—to systematically optimize restenosis and thromboembolic complication prevention strategies. Adjunctive stem cell transplantation or localized gene delivery may achieve functional vascular wall regeneration.
Furthermore, the integration of recanalization risk factors, imaging features, molecular biomarkers, and longitudinal follow-up data may facilitate the development of artificial intelligence–based predictive models—offer a robust foundation for evidence-based approaches to CAD recanalization while addressing current clinical challenges through effective solutions.
9 Conclusion
CAD recanalization fundamentally represents a dynamic equilibrium between vascular wall injury repair and pathological remodeling. Through integrated multimodal imaging quantification, molecular mechanism elucidation, and AI predictive modeling, current clinical management bottlenecks may be overcome—advancing precision medicine applications in vascular diseases. Both conservative and surgical CAD management can yield favorable outcomes. While conservative approaches remain first-line with demonstrated efficacy, surgical intervention proves beneficial and safe for select cases unresponsive to medical therapy. Future refined clinical classification systems coupled with large population studies may yield transformative breakthroughs in CAD recanalization.
Author contributions
TL: Investigation, Writing – original draft, Writing – review and editing. LL: Investigation, Writing – original draft, Writing – review and editing. KZ: Investigation, Writing – original draft, Writing – review and editing. JD: Conceptualization, Writing – review and editing. XT: Conceptualization, Writing – review and editing. XZ: Formal Analysis, Writing – review and editing. SY: Formal Analysis, Writing – review and editing. WL: Funding acquisition, Project administration, Supervision, Writing – review and editing. HZ: Funding acquisition, Project administration, Supervision, Writing – review and editing.
Funding
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Jilin Provincial Medical and Health Talent Special Fund (Grant number: JLSRCZX2025-010) and the Jilin Province Center for Radiological Medical Technology Innovation (Grant number: YDZJ202402029CXJD).
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
Abdelnour L. H. (2022). Hypertension is a possible risk factor for cervical artery dissection. J. Clin. Hypertens. (Greenwich) 24 (12), 1618–1619. doi:10.1111/jch.14603
Abdelnour L. H., Abdalla M. E., Elhassan S., Kheirelseid E. A. H. (2022). Diabetes, hypertension, smoking, and hyperlipidemia as risk factors for spontaneous cervical artery dissection: meta-analysis of case-control studies. Curr. J. Neurol. 21 (3), 183–193. doi:10.18502/cjn.v21i3.11112
Adam G., Darcourt J., Roques M., Ferrier M., Gramada R., Meluchova Z., et al. (2020). Standard diffusion-weighted imaging in the brain can detect cervical internal carotid artery dissections. AJNR Am. J. Neuroradiol. 41 (2), 318–322. doi:10.3174/ajnr.A6383
Ahmed N., Steiner T., Caso V., Wahlgren N.ESO-KSU session participants (2017). Recommendations from the ESO-Karolinska Stroke Update Conference, Stockholm 13-15 November 2016. Eur. Stroke J. 2 (2), 95–102. doi:10.1177/2396987317699144
Allard J., Delvoye F., Pop R., Labreuche J., Maier B., Marnat G., et al. (2023). 24-Hour carotid stent patency and outcomes after endovascular therapy: a multicenter study. Stroke 54 (1), 124–131. doi:10.1161/strokeaha.122.039797
Arauz A., Márquez J. M., Artigas C., Balderrama J., Orrego H. (2010). Recanalization of vertebral artery dissection. Stroke 41 (4), 717–721. doi:10.1161/strokeaha.109.568790
Arnold M., Pannier B., Chabriat H., Nedeltchev K., Stapf C., Buffon F., et al. (2009). Vascular risk factors and morphometric data in cervical artery dissection: a case-control study. J. Neurol. Neurosurg. Psychiatry 80 (2), 232–234. doi:10.1136/jnnp.2008.151324
Babaoglu E., Hasanoglu H. C., Senturk A., Karalezli A., Kilic H., Aykun G., et al. (2014). Importance of biomarkers in risk stratification of pulmonary thromboembolism patients. J. Investig. Med. 62 (2), 328–331. doi:10.2310/jim.0000000000000041
Baracchini C., Tonello S., Meneghetti G., Ballotta E. (2010). Neurosonographic monitoring of 105 spontaneous cervical artery dissections: a prospective study. Neurology 75 (21), 1864–1870. doi:10.1212/WNL.0b013e3181feae5e
Béjot Y., Daubail B., Debette S., Durier J., Giroud M. (2014). Incidence and outcome of cerebrovascular events related to cervical artery dissection: the Dijon Stroke Registry. Int. J. Stroke 9 (7), 879–882. doi:10.1111/ijs.12154
Bernardo F., Nannoni S., Strambo D., Bartolini B., Michel P., Sirimarco G. (2019). Intravenous thrombolysis in acute ischemic stroke due to intracranial artery dissection: a single-center case series and a review of literature. J. Thromb. Thrombolysis 48 (4), 679–684. doi:10.1007/s11239-019-01918-6
Bond K. M., Krings T., Lanzino G., Brinjikji W. (2021). Intracranial dissections: a pictorial review of pathophysiology, imaging features, and natural history. J. Neuroradiol. 48 (3), 176–188. doi:10.1016/j.neurad.2020.03.007
Bruno S., Mirabella D., Dinoto E., Pecoraro F. (2025). Mid-term outcomes of endovascular treatment for internal carotid artery dissection. Int. Angiol. 44 (4), 323–329. doi:10.23736/s0392-9590.25.05426-4
Cai Y., Liu Y., Qiao H., Chen H., Li R., Zhang J., et al. (2025). Carotid artery atherosclerosis and white matter lesions in the elderly: a community-based MR imaging study. Eur. Radiol. 35 (9), 5561–5568. doi:10.1007/s00330-025-11509-0
Callaghan F. M., Luechinger R., Kurtcuoglu V., Sarikaya H., Poulikakos D., Baumgartner R. W. (2011). Wall stress of the cervical carotid artery in patients with carotid dissection: a case-control study. Am. J. Physiol. Heart Circ. Physiol. 300 (4), H1451–H1458. doi:10.1152/ajpheart.00871.2010
Cao G., Xuan X., Hu J., Zhang R., Jin H., Dong H. (2022). How vascular smooth muscle cell phenotype switching contributes to vascular disease. Cell Commun. Signal 20 (1), 180. doi:10.1186/s12964-022-00993-2
Chao L., Qingbin M., Haowen X., Shanshan X., Qichang F., Zhen C., et al. (2021). Imaging predictors for endovascular recanalization of non-acute occlusion of internal carotid artery based on 3D T1-SPACE MRI and DSA. Front. Neurol. 12, 692128. doi:10.3389/fneur.2021.692128
Chen Y. H., Leong W. S., Lin M. S., Huang C. C., Hung C. S., Li H. Y., et al. (2016). Predictors for successful endovascular intervention in chronic carotid artery total occlusion. JACC Cardiovasc Interv. 9 (17), 1825–1832. doi:10.1016/j.jcin.2016.06.015
De Backer T. (2023). A genetic dissection of vascular risk factors for cervical artery dissection: under pressure. J. Am. Coll. Cardiol. 82 (14), 1424–1426. doi:10.1016/j.jacc.2023.08.011
Debette S., Leys D. (2009). Cervical-artery dissections: predisposing factors, diagnosis, and outcome. Lancet Neurol. 8 (7), 668–678. doi:10.1016/s1474-4422(09)70084-5
Debette S., Markus H. S. (2009). The genetics of cervical artery dissection: a systematic review. Stroke 40 (6), e459–e466. doi:10.1161/strokeaha.108.534669
Debette S., Grond-Ginsbach C., Bodenant M., Kloss M., Engelter S., Metso T., et al. (2011). Differential features of carotid and vertebral artery dissections: the CADISP study. Neurology 77 (12), 1174–1181. doi:10.1212/WNL.0b013e31822f03fc
Debette S., Goeggel Simonetti B., Schilling S., Martin J. J., Kloss M., Sarikaya H., et al. (2014). Familial occurrence and heritable connective tissue disorders in cervical artery dissection. Neurology 83 (22), 2023–2031. doi:10.1212/wnl.0000000000001027
Debette S., Kamatani Y., Metso T. M., Kloss M., Chauhan G., Engelter S. T., et al. (2015). Common variation in PHACTR1 is associated with susceptibility to cervical artery dissection. Nat. Genet. 47 (1), 78–83. doi:10.1038/ng.3154
DiMusto P. D., Rademacher B. L., Philip J. L., Akhter S. A., Goodavish C. B., De Oliveira N. C., et al. (2017). Acute retrograde type A aortic dissection: morphologic analysis and clinical implications. J. Surg. Res. 213, 39–45. doi:10.1016/j.jss.2017.02.034
Ding W., Liu Y., Su Z., Li Q., Wang J., Gao Y. (2022). Emerging role of non-coding RNAs in aortic dissection. Biomolecules 12 (10), 1336. doi:10.3390/biom12101336
Engelter S. T., Rutgers M. P., Hatz F., Georgiadis D., Fluri F., Sekoranja L., et al. (2009). Intravenous thrombolysis in stroke attributable to cervical artery dissection. Stroke 40 (12), 3772–3776. doi:10.1161/strokeaha.109.555953
Engelter S. T., Dallongeville J., Kloss M., Metso T. M., Leys D., Brandt T., et al. (2012). Thrombolysis in cervical artery dissection--data from the Cervical Artery Dissection and Ischaemic Stroke Patients (CADISP) database. Eur. J. Neurol. 19 (9), 1199–1206. doi:10.1111/j.1468-1331.2012.03704.x
Feng Y., Zhu Z., Shao J., Li K., Xie Y., Xie L., et al. (2024). Comparative outcomes of surgical and conservative management in carotid artery dissection. Vascular 33, 170853812412898151423. doi:10.1177/17085381241289815
Freitas-Andrade M., Raman-Nair J., Lacoste B. (2020). Structural and functional remodeling of the brain vasculature following stroke. Front. Physiol. 11, 948. doi:10.3389/fphys.2020.00948
Fujimoto M., Salamon N., Mayor F., Yuki I., Takemoto K., Vinters H. V., et al. (2013). Characterization of arterial thrombus composition by magnetic resonance imaging in a swine stroke model. Stroke 44 (5), 1463–1465. doi:10.1161/strokeaha.111.000457
Garrod D. R., Berika M. Y., Bardsley W. F., Holmes D., Tabernero L. (2005). Hyper-adhesion in desmosomes: its regulation in wound healing and possible relationship to cadherin crystal structure. J. Cell Sci. 118 (24), 5743–5754. doi:10.1242/jcs.02700
Georgiadis D., Arnold M., von Buedingen H. C., Valko P., Sarikaya H., Rousson V., et al. (2009). Aspirin vs anticoagulation in carotid artery dissection: a study of 298 patients. Neurology 72 (21), 1810–1815. doi:10.1212/WNL.0b013e3181a2a50a
Germain D. P. (2002). Clinical and genetic features of vascular Ehlers-Danlos syndrome. Ann. Vasc. Surg. 16 (3), 391–397. doi:10.1007/s10016-001-0229-y
Griffin K. J., Harmsen W. S., Mandrekar J., Brown R. D., Jr., Keser Z. (2024). Epidemiology of spontaneous cervical artery dissection: Population-based study. Stroke 55 (3), 670–677. doi:10.1161/strokeaha.123.043647
Gupta R. M., Hadaya J., Trehan A., Zekavat S. M., Roselli C., Klarin D., et al. (2017). A genetic variant associated with five vascular diseases is a distal regulator of Endothelin-1 gene expression. Cell 170 (3), 522–533.e515. doi:10.1016/j.cell.2017.06.049
Hakimi R., Sivakumar S. (2019). Imaging of carotid dissection. Curr. Pain Headache Rep. 23 (1), 2. doi:10.1007/s11916-019-0741-9
Hauck E. F., Natarajan S. K., Ohta H., Ogilvy C. S., Hopkins L. N., Siddiqui A. H., et al. (2011). Emergent endovascular recanalization for cervical internal carotid artery occlusion in patients presenting with acute stroke. Neurosurgery 69 (4), 899–907. doi:10.1227/NEU.0b013e31821cfa52
Huang Y., Hui P. J., Ding Y. F., Yan Y. Y., Liu M., Kong L. J., et al. (2020). Analysis of factors related to recanalization of intramural hematoma-type carotid artery dissection. Zhonghua Yi Xue Za Zhi 100 (33), 2612–2617. doi:10.3760/cma.j.cn112137-20200309-00665
Hunter M. A., Santosh C., Teasdale E., Forbes K. P. (2012). High-resolution double inversion recovery black-blood imaging of cervical artery dissection using 3T MR imaging. AJNR Am. J. Neuroradiol. 33 (11), E133–E137. doi:10.3174/ajnr.A2599
Jin W., Ye X., Chen X., Duan R., Zhao Y., Zhang Y., et al. (2023). A score system used to screen the suitability for recanalization in carotid artery occlusions. Biotechnol. Genet. Eng. Rev. 40, 1–16. doi:10.1080/02648725.2023.2202522
Kahler R. J., Stuart G. S. (1998). Internal carotid artery dissection: an animal model? J. Invest Surg. 11 (1), 63–68. doi:10.3109/08941939809032181
Kawano H., Yamada S., Tsuji A., Tsuji K., Nozaki K. (2022). Four-dimensional flow magnetic resonance imaging analysis of cerebral aneurysm in the carotid rete mirabile. Stroke 53 (12), e519–e520. doi:10.1161/strokeaha.122.040692
Kellert L., Grau A., Pezzini A., Debette S., Leys D., Caso V., et al. (2018). University education and cervical artery dissection. J. Neurol. 265 (5), 1065–1070. doi:10.1007/s00415-018-8798-7
Keser Z., Meschia J. F., Lanzino G. (2022). Craniocervical artery dissections: a concise review for clinicians. Mayo Clin. Proc. 97 (4), 777–783. doi:10.1016/j.mayocp.2022.02.007
Keser Z., Diehn F. E., Lanzino G. (2024). Photon-counting detector CT angiography in cervical artery dissection. Stroke 55 (3), e48–e49. doi:10.1161/strokeaha.123.046174
Kim B. J., Yang E., Kim N. Y., Kim M. J., Kang D. W., Kwon S. U., et al. (2016). Vascular tortuosity may be associated with cervical artery dissection. Stroke 47 (10), 2548–2552. doi:10.1161/strokeaha.116.013736
Kleindorfer D. O., Towfighi A., Chaturvedi S., Cockroft K. M., Gutierrez J., Lombardi-Hill D., et al. (2021). 2021 guideline for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline from the American heart Association/American stroke Association. Stroke 52 (7), e364–e467. doi:10.1161/str.0000000000000375
Kwak J. H., Zhao L., Kim J. K., Park S., Lee D. G., Shim J. H., et al. (2014). The outcome and efficacy of recanalization in patients with acute internal carotid artery occlusion. AJNR Am. J. Neuroradiol. 35 (4), 747–753. doi:10.3174/ajnr.A3747
Lai P. M. R., Baig A. A., Khawar W. I., Kruk M. D., Donnelly B. M., Siddiqi M., et al. (2023). Residual In-Stent carotid stenosis and cigarette smoking are independent predictors of carotid restenosis after carotid artery stenting-results from 738 carotid artery stenting procedures at a single center. Neurosurgery 94, 1155–1165. doi:10.1227/neu.0000000000002798
Le Grand Q., Ecker Ferreira L., Metso T. M., Schilling S., Tatlisumak T., Grond-Ginsbach C., et al. (2023). Genetic insights on the relation of vascular risk factors and cervical artery dissection. J. Am. Coll. Cardiol. 82 (14), 1411–1423. doi:10.1016/j.jacc.2023.07.021
Lee V. H., Brown R. D., Jr., Mandrekar J. N., Mokri B. (2006). Incidence and outcome of cervical artery dissection: a population-based study. Neurology 67 (10), 1809–1812. doi:10.1212/01.wnl.0000244486.30455.71
Li S., Zi W., Chen J., Zhang S., Bai Y., Guo Y., et al. (2018). Feasibility of thrombectomy in treating acute ischemic stroke because of cervical artery dissection. Stroke 49 (12), 3075–3077. doi:10.1161/strokeaha.118.023186
Liberman A. L., Navi B. B., Esenwa C. C., Zhang C., Song J., Cheng N. T., et al. (2020). Misdiagnosis of cervicocephalic artery dissection in the emergency department. Stroke 51 (6), 1876–1878. doi:10.1161/strokeaha.120.029390
Lin J., Sun Y., Zhao S., Xu J., Zhao C. (2016). Safety and efficacy of thrombolysis in cervical artery dissection-related ischemic stroke: a meta-analysis of observational studies. Cerebrovasc. Dis. 42 (3-4), 272–279. doi:10.1159/000446004
Liu B., Wei W., Wang Y., Yang X., Yue S., Zhang J. (2018). Estimation and recanalization of chronic occluded internal carotid artery: hybrid operation by carotid endarterectomy and endovascular angioplasty. World Neurosurg. 120, e457–e465. doi:10.1016/j.wneu.2018.08.104
Lu G. D., Yang W., Jia Z. Y., Liu S. (2024). Endovascular reconstruction of high cervical and long-segment carotid artery dissections with Leo plus stent. Neuroradiology 66 (3), 409–416. doi:10.1007/s00234-023-03274-y
Luo H., Liu B., Hu J., Wang X., Zhan S., Kong W. (2014). Hyperhomocysteinemia and methylenetetrahydrofolate reductase polymorphism in cervical artery dissection: a meta-analysis. Cerebrovasc. Dis. 37 (5), 313–322. doi:10.1159/000360753
Luo Y., Guo Z. N., Niu P. P., Liu Y., Zhou H. W., Jin H., et al. (2016). 3D T1-weighted black blood sequence at 3.0 Tesla for the diagnosis of cervical artery dissection. Stroke Vasc. Neurol. 1 (3), 140–146. doi:10.1136/svn-2016-000028
Ma Y., Zhou Y., Li B., Zhang Y., Chen Y., Chai E. (2024). A nomogram predicting the relationship between recanalization time and successful endovascular recanalization of non-acute internal carotid artery occlusion in a Chinese population. Neurosurg. Rev. 47 (1), 38. doi:10.1007/s10143-024-02282-7
Malik K., Nogueira R. G., Doheim M. F., Mohammaden M., Rajani R., Haussen D. C., et al. (2023). Bailout technique for entangled stent retriever and carotid stent during tandem large vessel occlusion endovascular therapy. Interv. Neuroradiol., 15910199231183106. doi:10.1177/15910199231183106
Markl M., Wegent F., Zech T., Bauer S., Strecker C., Schumacher M., et al. (2010). In vivo wall shear stress distribution in the carotid artery: effect of bifurcation geometry, internal carotid artery stenosis, and recanalization therapy. Circ. Cardiovasc Imaging 3 (6), 647–655. doi:10.1161/circimaging.110.958504
Markus H. S., Levi C., King A., Madigan J., Norris J.Cervical Artery Dissection in Stroke Study CADISS Investigators (2019). Antiplatelet therapy vs anticoagulation therapy in cervical artery dissection: the Cervical Artery Dissection in Stroke Study (CADISS) randomized clinical trial final results. JAMA Neurol. 76 (6), 657–664. doi:10.1001/jamaneurol.2019.0072
Marnat G., Bühlmann M., Eker O. F., Gralla J., Machi P., Fischer U., et al. (2018). Multicentric experience in distal-to-proximal revascularization of tandem occlusion stroke related to internal carotid artery dissection. AJNR Am. J. Neuroradiol. 39 (6), 1093–1099. doi:10.3174/ajnr.A5640
Matsukawa S., Ishibashi R., Kitamura K., Sugiyama J., Yoshizaki W., Motoie R., et al. (2022). Carotid micromesh stent for the cervical carotid artery dissecting aneurysm in a patient with vascular eagle syndrome. J. Stroke Cerebrovasc. Dis. 31 (8), 106487. doi:10.1016/j.jstrokecerebrovasdis.2022.106487
Mayer-Suess L., Pechlaner R., Barallobre-Barreiro J., Boehme C., Toell T., Lynch M., et al. (2020). Extracellular matrix protein signature of recurrent spontaneous cervical artery dissection. Neurology 95 (15), e2047–e2055. doi:10.1212/wnl.0000000000010710
Muthusami P., Kesavadas C., Sylaja P. N., Thomas B., Harsha K. J., Kapilamoorthy T. R. (2013). Implicating the long styloid process in cervical carotid artery dissection. Neuroradiology 55 (7), 861–867. doi:10.1007/s00234-013-1186-1
Naggara O., Morel A., Touzé E., Raymond J., Mas J. L., Meder J. F., et al. (2012). Stroke occurrence and patterns are not influenced by the degree of stenosis in cervical artery dissection. Stroke 43 (4), 1150–1152. doi:10.1161/strokeaha.111.639021
Nedeltchev K., Bickel S., Arnold M., Sarikaya H., Georgiadis D., Sturzenegger M., et al. (2009). R2-recanalization of spontaneous carotid artery dissection. Stroke 40 (2), 499–504. doi:10.1161/strokeaha.108.519694
Ogura T., Mineharu Y., Todo K., Kohara N., Sakai N. (2015). Carotid artery dissection caused by an elongated styloid process: three case reports and review of the literature. NMC Case Rep. J. 2 (1), 21–25. doi:10.2176/nmccrj.2014-0179
Okamoto T., Miyachi S., Negoro M., Otsuka G., Suzuki O., Keino H., et al. (2002). Experimental model of dissecting aneurysms. AJNR Am. J. Neuroradiol. 23 (4), 577–584.
Pabinger I., Ay C. (2009). Biomarkers and venous thromboembolism. Arterioscler. Thromb. Vasc. Biol. 29 (3), 332–336. doi:10.1161/atvbaha.108.182188
Patel S. D., Haynes R., Staff I., Tunguturi A., Elmoursi S., Nouh A. (2020). Recanalization of cervicocephalic artery dissection. Brain Circ. 6 (3), 175–180. doi:10.4103/bc.bc_19_20
Peng J., Liu Z., Luo C., Chen L., Hou X., Xiao L., et al. (2017). Treatment of cervical artery dissection: antithrombotics, thrombolysis, and endovascular therapy. Biomed. Res. Int. 2017, 3072098. doi:10.1155/2017/3072098
Peng J., Wu M., Doycheva D. M., He Y., Huang Q., Chen W., et al. (2021). Establishment of carotid artery dissection and MRI findings in a swine model. Front. Neurol. 12, 669276. doi:10.3389/fneur.2021.669276
Peper E. S., Gottwald L. M., Zhang Q., Coolen B. F., van Ooij P., Nederveen A. J., et al. (2020). Highly accelerated 4D flow cardiovascular magnetic resonance using a pseudo-spiral Cartesian acquisition and compressed sensing reconstruction for carotid flow and wall shear stress. J. Cardiovasc Magn. Reson 22 (1), 7. doi:10.1186/s12968-019-0582-z
Perry B. C., Al-Ali F. (2013). Spontaneous cervical artery dissection: the borgess classification. Front. Neurol. 4, 133. doi:10.3389/fneur.2013.00133
Pezzini D., Grassi M., Zedde M. L., Zini A., Bersano A., Gandolfo C., et al. (2022). Antithrombotic therapy in the postacute phase of cervical artery dissection: the Italian Project on Stroke in Young Adults Cervical Artery Dissection. J. Neurol. Neurosurg. Psychiatry 93 (7), 686–692. doi:10.1136/jnnp-2021-328338
Powers W. J., Rabinstein A. A., Ackerson T., Adeoye O. M., Bambakidis N. C., Becker K., et al. (2019). Guidelines for the early management of patients with acute ischemic stroke: 2019 update to the 2018 guidelines for the early management of acute ischemic stroke: a guideline for healthcare professionals from the American heart Association/American stroke Association. Stroke 50 (12), e344–e418. doi:10.1161/str.0000000000000211
Putaala J., Metso A. J., Metso T. M., Konkola N., Kraemer Y., Haapaniemi E., et al. (2009). Analysis of 1008 consecutive patients aged 15 to 49 with first-ever ischemic stroke: the Helsinki young stroke registry. Stroke 40 (4), 1195–1203. doi:10.1161/strokeaha.108.529883
Qi Y. F., Shu C., Xiao Z. X., Luo M. Y., Fang K., Guo Y. Y., et al. (2018). Post-transcriptional control of tropoelastin in aortic smooth muscle cells affects aortic dissection onset. Mol. Cells 41 (3), 198–206. doi:10.14348/molcells.2018.2193
Rajendran K., Petersilka M., Henning A., Shanblatt E. R., Schmidt B., Flohr T. G., et al. (2022). First clinical photon-counting detector CT system: Technical evaluation. Radiology 303 (1), 130–138. doi:10.1148/radiol.212579
Reyes S. P., Andreu O. D., Zenteno C. M., Breiting C. B., Morales G. C., Rosales R., et al. (2023). Temporality and factors associated with the development of a cerebral infarction in patients with cervical artery dissection. Rev. Med. Chil. 151 (10), 1281–1287. doi:10.4067/s0034-98872023001001281
Rist P. M., Diener H. C., Kurth T., Schürks M. (2011). Migraine, migraine aura, and cervical artery dissection: a systematic review and meta-analysis. Cephalalgia 31 (8), 886–896. doi:10.1177/0333102411401634
Rodallec M. H., Marteau V., Gerber S., Desmottes L., Zins M. (2008). Craniocervical arterial dissection: spectrum of imaging findings and differential diagnosis. Radiographics 28 (6), 1711–1728. doi:10.1148/rg.286085512
Salehi Omran S. (2023). Cervical artery dissection. Contin. (Minneap Minn) 29 (2), 540–565. doi:10.1212/con.0000000000001233
Schipani E., Griffin K. J., Oakley C. I., Keser Z. (2024). Sex differences in the epidemiology of spontaneous and traumatic cervical artery dissections. Stroke Vasc. Neurol. 10, 407–410. doi:10.1136/svn-2024-003282
Schirmer C. M., Atalay B., Malek A. M. (2011). Endovascular recanalization of symptomatic flow-limiting cervical carotid dissection in an isolated hemisphere. Neurosurg. Focus 30 (6), E16. doi:10.3171/2011.2.Focus1139
Shao S., Wang G. (2025). High-resolution magnetic resonance vessel wall imaging in extracranial cervical artery dissection. Front. Neurol. 16, 1536581. doi:10.3389/fneur.2025.1536581
Shu L., Lee E., Field T. S., Guo X., Henninger N., Keser Z., et al. (2025). Intravenous thrombolysis in cervical artery dissection-related stroke: a nationwide study. J. Am. Heart Assoc. 14 (5), e039662. doi:10.1161/jaha.124.039662
Small E. M., Olson E. N. (2011). Pervasive roles of microRNAs in cardiovascular biology. Nature 469 (7330), 336–342. doi:10.1038/nature09783
Sperring C. P., Savage W. M., Argenziano M. G., Leifer V. P., Alexander J., Echlov N., et al. (2023). No-Reflow post-recanalization in acute ischemic stroke: mechanisms, measurements, and molecular markers. Stroke 54 (9), 2472–2480. doi:10.1161/strokeaha.123.044240
Strunk D., Schwindt W., Wiendl H., Dittrich R., Minnerup J. (2021). Long-term sonographical Follow-Up of arterial stenosis due to spontaneous cervical artery dissection. Front. Neurol. 12, 792321. doi:10.3389/fneur.2021.792321
Subedi R., Dean R., Baronos S., Dhamoon A. (2017). Carotid artery dissection: a rare complication of Eagle syndrome. BMJ Case Rep. 2017, bcr2016218184. doi:10.1136/bcr-2016-218184
Sun K., Wang C., Gong S., Lyn X., Liu K., Zhang H., et al. (2025). Carotid artery reconstruction with endovascular covered stents: an innovative strategy to avoid interruption of carotid blood flow. Head. Neck 47 (10), 2702–2709. doi:10.1002/hed.28188
Szmygin P., Szmygin M., Roman T., Luchowski P., Jargiełło T., Rola R. (2025). Endovascular stenting for extracranial internal carotid artery dissection - single-centre experience and literature overview. Pol. J. Radiol. 90, e191–e197. doi:10.5114/pjr/202103
Tang Y., Yu S., Liu Y., Zhang J., Han L., Xu Z. (2017). MicroRNA-124 controls human vascular smooth muscle cell phenotypic switch via Sp1. Am. J. Physiol. Heart Circ. Physiol. 313 (3), H641–h649. doi:10.1152/ajpheart.00660.2016
Tao Y., Xu Z., Zhou H., Zhang Y., Liu J. (2015). Associated risk factors of ischemic events for spontaneous cervical artery dissection. Zhonghua Yi Xue Za Zhi 95 (35), 2841–2845.
Traenka C., Debette S. (2020). Extracellular matrix protein signature in cervical artery dissection: the key differentiator? Neurology 95 (15), 663–664. doi:10.1212/wnl.0000000000010750
Traenka C., Kloss M., Strom T., Lyrer P., Brandt T., Bonati L. H., et al. (2019). Rare genetic variants in patients with cervical artery dissection. Eur. Stroke J. 4 (4), 355–362. doi:10.1177/2396987319861869
Ulbricht D., Diederich N. J., Hermanns-Lê T., Metz R. J., Macian F., Piérard G. E. (2004). Cervical artery dissection: an atypical presentation with Ehlers-Danlos-like collagen pathology? Neurology 63 (9), 1708–1710. doi:10.1212/01.wnl.0000142970.09454.30
Vicenzini E., Ricciardi M. C., Sirimarco G., Di Piero V., Lenzi G. L. (2011). Bilateral spontaneous internal carotid artery dissection with both early and very late recanalization: a case report. J. Clin. Ultrasound 39 (1), 48–53. doi:10.1002/jcu.20712
Völker W., Dittrich R., Grewe S., Nassenstein I., Csiba L., Herczeg L., et al. (2011). The outer arterial wall layers are primarily affected in spontaneous cervical artery dissection. Neurology 76 (17), 1463–1471. doi:10.1212/WNL.0b013e318217e71c
Wadhwa A., Almekhlafi M., Menon B. K., Demchuk A. M., Bal S. (2023). Recanalization and functional outcome in patients with cervico-cephalic arterial dissections. Can. J. Neurol. Sci. 50 (3), 393–398. doi:10.1017/cjn.2022.40
Wang K., Yuan S. (2012). Elastase-induced rabbit aneurysms model complicated by thoracic aortic aneurysms. AJNR Am. J. Neuroradiol. 33 (5), E76–E77. doi:10.3174/ajnr.A3095
Wang G. M., Xue H., Guo Z. J., Yu J. L. (2020). Cerebral infarct secondary to traumatic internal carotid artery dissection. World J. Clin. Cases 8 (20), 4773–4784. doi:10.12998/wjcc.v8.i20.4773
Xeros H., Bucak B., Oushy S., Lanzino G., Keser Z. (2024). Iatrogenic cervical artery dissections during endovascular interventions. Interv. Neuroradiol., 15910199241305423. doi:10.1177/15910199241305423
Yaghi S., Engelter S., Del Brutto V. J., Field T. S., Jadhav A. P., Kicielinski K., et al. (2024a). Treatment and outcomes of cervical artery dissection in adults: a scientific statement from the American heart Association. Stroke 55 (3), e91–e106. doi:10.1161/str.0000000000000457
Yaghi S., Shu L., Fletcher L., Fayad F. H., Shah A., Herning A., et al. (2024b). Anticoagulation versus antiplatelets in spontaneous cervical artery dissection: a systematic review and meta-analysis. Stroke 55 (7), 1776–1786. doi:10.1161/strokeaha.124.047310
Yang Z., Zhang L., Liu Y., Zeng W., Wang K. (2022). Potency of miR-144-3p in promoting abdominal aortic aneurysm progression in mice correlates with apoptosis of smooth muscle cells. Vasc. Pharmacol. 142, 106901. doi:10.1016/j.vph.2021.106901
Zhang F. L., Liu Y., Xing Y. Q., Yang Y. (2015). Diagnosis of cervical artery dissection using 3-T magnetic resonance imaging. JAMA Neurol. 72 (5), 600–601. doi:10.1001/jamaneurol.2014.4589
Zhang S., Han Z., Cao Y., Wu W., Liu Y., Yang S., et al. (2024). Establishment and evaluation of a carotid artery dissection model in rats. Front. Neurol. 15, 1420278. doi:10.3389/fneur.2024.1420278
Zhou B., Hua Z., Li C., Jiao Z., Cao H., Xu P., et al. (2024). Classification and management strategy of spontaneous carotid artery dissection. J. Vasc. Surg. 80 (4), 1139–1148. doi:10.1016/j.jvs.2024.05.031
Zhou B. N., Hua Z. H., Xia L., Cao H., Jiao Z. Y., Xu P., et al. (2024). Clinical characteristics and efficacy analysis of various treatments for spontaneous carotid artery dissection. Zhonghua Yi Xue Za Zhi 104 (5), 337–343. doi:10.3760/cma.j.cn112137-20231007-00645
Zhu X., Shan Y., Guo R., Zheng T., Zhang X., Liu Z., et al. (2022). Three-dimensional high-resolution magnetic resonance imaging for the assessment of cervical artery dissection. Front. Aging Neurosci. 14, 785661. doi:10.3389/fnagi.2022.785661
Keywords: cervical artery dissection, endovascular therapy, hemodynamics, high-resolution MRI, ischemic stroke, pathomechanisms, precision medicine, recanalization
Citation: Li T, Li L, Zhao K, Dai J, Tian X, Zhang X, Yin S, Lan W and Zhou H (2026) Beyond vascular recanalization: precision medicine in cervical artery dissection guided by multiple mechanisms and multimodal imaging for brain functional recovery. Front. Physiol. 16:1695764. doi: 10.3389/fphys.2025.1695764
Received: 30 August 2025; Accepted: 19 December 2025;
Published: 30 January 2026.
Edited by:
Ryan Hoiland, University of British Columbia, Okanagan Campus, CanadaReviewed by:
Kuizhong Wang, Jinan No. 3 People’s Hospital, ChinaMarian Simka, University of Opole, Poland
Copyright © 2026 Li, Li, Zhao, Dai, Tian, Zhang, Yin, Lan and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Wenjing Lan, bGFud2pAamx1LmVkdS5jbg==; Hongwei Zhou, aHd6aG91QGpsdS5lZHUuY24=
†These authors have contributed equally to this work and share first authorship
Kexin Zhao1