Frontiers in Radiology | New and Recent Articles https://www.frontiersin.org/journals/radiology RSS Feed for Frontiers in Radiology | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-08-24T05:01:06.971+00:00 60 https://www.frontiersin.org/articles/10.3389/fradi.2026.1824991 https://www.frontiersin.org/articles/10.3389/fradi.2026.1824991 <![CDATA[Discriminative feature learning for multiclass lung disease classification using contrastive learning]]> 2026-08-19T00:00:00Z Original Research Hafiza Akter MuniraXuan ZhangPrathish K. RajaramanAlejandro P. ComellasEric A. HoffmanSean B. FainJiwoong ChoiMario CastroMark L. SchieblerElliot IsraelSerpil C. ErzurumTianbao YangChing-Long Lin https://www.frontiersin.org/articles/10.3389/fradi.2026.1824091 https://www.frontiersin.org/articles/10.3389/fradi.2026.1824091 <![CDATA[Predictive value of an AI model integrating MRI radiomics and clinical features for early recurrence of hepatocellular carcinoma prior to radiofrequency ablation]]> 2026-08-18T00:00:00Z Original Research Beibei ZhangWenhua LiJing TangRuixin LiXiao WangXiaoming LiuTianran Li  0.75, and 16 informative radiomics features were ultimately selected (inter-observer Dice = 0.85 ± 0.06). The radiomics-only models showed robust performance (test AUC: SVM = 0.826, LR = 0.830, RF = 0.826), significantly outperforming clinical-only models (test AUC: SVM = 0.688, LR = 0.706, RF = 0.724; P < 0.05). The integrated models achieved further improvement, with the RF-based integrated model demonstrating superior performance (training AUC = 0.975, test AUC = 0.909; P < 0.0083 after Bonferroni correction). Calibration showed good agreement (Brier score = 0.143, Hosmer–Lemeshow P = 0.367), and DCA demonstrated net clinical benefit across threshold probabilities of 15%–70%. At the optimal threshold (0.42), the RF-based integrated model achieved sensitivity = 83.3%, specificity = 90.9%, PPV = 83.3%, NPV = 90.9%, and accuracy = 88.2%.ConclusionPreoperative MRI-based radiomics features combined with clinical variables effectively predict early post-RFA HCC recurrence. The integrated radiomics-clinical model outperforms both clinical-only and radiomics-only models, with the RF classifier yielding optimal performance, providing a reliable tool for individualized treatment decision-making.]]> https://www.frontiersin.org/articles/10.3389/fradi.2026.1890122 https://www.frontiersin.org/articles/10.3389/fradi.2026.1890122 <![CDATA[Cross-interface persistent memory for large language model-assisted radiology research workflows: a Claude-based proof-of-concept technical development]]> 2026-08-17T00:00:00Z Methods Miguel AngaritaLina M. Acosta BuitragoJuan Manuel Pérez https://www.frontiersin.org/articles/10.3389/fradi.2026.1901958 https://www.frontiersin.org/articles/10.3389/fradi.2026.1901958 <![CDATA[Automated opportunistic screening for low bone mineral density using routine CT brain imaging]]> 2026-08-14T00:00:00Z Original Research Rory ZhangNishant PanchalHeinrik ChoongCharlie DingHaotian HuangStefan KachelCherie ChiangNuman KutaibaRuth P. Lim https://www.frontiersin.org/articles/10.3389/fradi.2026.1758276 https://www.frontiersin.org/articles/10.3389/fradi.2026.1758276 <![CDATA[Longitudinal deep learning-based segmentation of multiple sclerosis lesions in a local clinical cohort]]> 2026-08-12T00:00:00Z Original Research Amalie Monberg HindsholmAnnika Reynberg LangkildeJette Lautrup FrederiksenFlemming Littrup AndersenHenrik B. W. LarssonUlrich LindbergClaes Nøhr Ladefoged https://www.frontiersin.org/articles/10.3389/fradi.2026.1876684 https://www.frontiersin.org/articles/10.3389/fradi.2026.1876684 <![CDATA[Application of 80 kVp combined with deep learning reconstruction algorithm in overweight patients coronary CT angiography: reduced radiation dose and contrast agent dose]]> 2026-08-10T00:00:00Z Original Research Hangge PanQiushuang ZhangJianrong DingJingli PanAiyun Sun https://www.frontiersin.org/articles/10.3389/fradi.2026.1948195 https://www.frontiersin.org/articles/10.3389/fradi.2026.1948195 <![CDATA[Editorial: Emerging fast medical imaging techniques in radiology]]> 2026-08-05T00:00:00Z Editorial Zhifeng ChenZhicheng PengMingfeng JiangJianfeng ZhouLijun LuXiaoyun Liang https://www.frontiersin.org/articles/10.3389/fradi.2026.1914611 https://www.frontiersin.org/articles/10.3389/fradi.2026.1914611 <![CDATA[Pericardial lipoma encasing the right coronary artery: a multimodality imaging case report]]> 2026-07-30T00:00:00Z Case Report Xiaoyang LiuZiming LiuXiuyun LuoWei Miao https://www.frontiersin.org/articles/10.3389/fradi.2026.1880540 https://www.frontiersin.org/articles/10.3389/fradi.2026.1880540 <![CDATA[Portal vein recanalization and transjugular intrahepatic portosystemic shunt in chronic portal vein thrombosis: a narrative review]]> 2026-07-30T00:00:00Z Review Valentina Mejía-QuiñonesJosé Gabriel Lotero-RobledoJosé Miguel Hidalgo-OviedoJuan S. Toro-GutiérrezJorge Mario Sastoque-Gómez https://www.frontiersin.org/articles/10.3389/fradi.2026.1821324 https://www.frontiersin.org/articles/10.3389/fradi.2026.1821324 <![CDATA[Case Report: A large right atrial hemangioma: multimodal imaging and postoperative follow-up]]> 2026-07-30T00:00:00Z Case Report Tianhe YeCong Liu https://www.frontiersin.org/articles/10.3389/fradi.2026.1899103 https://www.frontiersin.org/articles/10.3389/fradi.2026.1899103 <![CDATA[Artificial intelligence for lung ultrasound interpretation: a systematic review]]> 2026-07-29T00:00:00Z Systematic Review Julia López-CanayAlberto Fernández-VillarCristina Ramos-HernándezAlberto Fernández-GarcíaMaribel Botana-RialManuel Casal-Guisande https://www.frontiersin.org/articles/10.3389/fradi.2026.1829701 https://www.frontiersin.org/articles/10.3389/fradi.2026.1829701 <![CDATA[FedAD: adaptive federated disentanglement for domain generalization in unlabeled medical imaging]]> 2026-07-29T00:00:00Z Original Research Swetha KodhandaramanHemalatha KAnandita PrabhakarShreyas Kempapuram https://www.frontiersin.org/articles/10.3389/fradi.2026.1867740 https://www.frontiersin.org/articles/10.3389/fradi.2026.1867740 <![CDATA[Development and multicenter external validation of a deep learning model for early screening of thoracic ossification of the ligamentum flavum on routine chest radiographs]]> 2026-07-29T00:00:00Z Original Research Zichuan WuJuehan WangXuhong ZhangBaifeng SunMin QiYang Liu https://www.frontiersin.org/articles/10.3389/fradi.2026.1875905 https://www.frontiersin.org/articles/10.3389/fradi.2026.1875905 <![CDATA[Swin-Qwen3: a three-stage vision–language framework for automated radiology report generation with multi-agent verification]]> 2026-07-28T00:00:00Z Original Research Hamida AbdaouiSabri BarbariaAhmed Al KuwaitiNoureddine RaouafiRidha Ben SalahHanene Boussi Rahmouni https://www.frontiersin.org/articles/10.3389/fradi.2026.1847193 https://www.frontiersin.org/articles/10.3389/fradi.2026.1847193 <![CDATA[Image-conditioned latent rectified flow models for 3D medical anomaly localisation]]> 2026-07-24T00:00:00Z Original Research Matthew BaughJohanna P. MüllerSarah CechnickaKexin Gu BaughJohn BonniciJames MylesBernhard Kainz https://www.frontiersin.org/articles/10.3389/fradi.2026.1875234 https://www.frontiersin.org/articles/10.3389/fradi.2026.1875234 <![CDATA[Case Report: Mechanical thrombectomy of cerebral venous sinuses using the NeVa stent retriever]]> 2026-07-23T00:00:00Z Case Report María Estefanía Peña GiraldoAndres Hernando Tascon BaronaAna María Granados SánchezEdgar Andres Folleco https://www.frontiersin.org/articles/10.3389/fradi.2026.1714951 https://www.frontiersin.org/articles/10.3389/fradi.2026.1714951 <![CDATA[First steps in clinical implementation of a lung nodule classification method by artificial intelligence]]> 2026-07-21T00:00:00Z Original Research Abderrazzak AjertilZineb FarahatAbla BouallouElisa Le TertreMagnanga-Boukandza Joey Ben ElbherAbdeljalil El quessarNejat KabbajMohamed Cherkaoui MalkiLatifa ChatLahcen HammaniNabil Ngote https://www.frontiersin.org/articles/10.3389/fradi.2026.1902217 https://www.frontiersin.org/articles/10.3389/fradi.2026.1902217 <![CDATA[From plug-and-play to institution-calibrated radiology AI: a practical framework for operationalizing local validation, monitoring and governance]]> 2026-07-16T00:00:00Z Opinion Muhammad AwaisAbdul Rehman https://www.frontiersin.org/articles/10.3389/fradi.2026.1826170 https://www.frontiersin.org/articles/10.3389/fradi.2026.1826170 <![CDATA[Diagnostic value of quantitative MR spectroscopy metabolite ratios for Canavan disease]]> 2026-07-15T00:00:00Z Original Research Majid Reza TahsiniMarzena Wylezinska-ArridgeMohammad ZareSasan SaketMohammad Aidin FarahvashMahdis MorovvatiElham RahimianSotirios Bisdas https://www.frontiersin.org/articles/10.3389/fradi.2026.1800543 https://www.frontiersin.org/articles/10.3389/fradi.2026.1800543 <![CDATA[Case Report: Alternative biopsy targets plus CEUS-guided omental puncture: enabling CLDN18.2 detection and precision therapy enrollment in pancreatic cancer]]> 2026-07-15T00:00:00Z Case Report Hang YinXiaomeng ZhangBing SongHui LiKun LiuChengzheng Zhang