The field of thoracic surgery is undergoing significant transformation with the introduction of patient-specific modelling, which supports personalized approaches in surgical interventions. This advancement is driven by the complexity of thoracic procedures, necessitating precise and individualized preoperative planning. Techniques such as computer-aided design (CAD), 3D printing, and advanced simulation platforms are at the forefront of this shift, especially in the era of minimally invasive surgery. High-resolution imaging methods, including CT and MRI, form the foundation of these models by enabling the segmentation of vital anatomical structures like lungs, airways, blood vessels, and tumors. These techniques empower surgeons with visualizations that reflect the unique anatomy and pathology of each patient, paving the way for detailed assessments and surgical simulations while highlighting potential complications or risks.
The Research Topic aims to investigate the profound impact of patient-specific modelling on minimally invasive thoracic surgical techniques, particularly video-assisted thoracoscopic surgery (VATS) and robotic-assisted thoracic surgery (RATS). By utilizing 3D models, surgeons can accurately plan crucial aspects such as incision points, pathways to target tissues, and safe margins for tumor resections, thus enhancing surgical precision and reducing intraoperative uncertainties. This exploration seeks to delve into the effectiveness of patient-specific modelling beyond preoperative planning: as tools for surgical rehearsals, intraoperative references, and educational aids. The objective is to comprehensively assess its role in improving surgical outcomes, reducing complications, and enhancing recovery times.
The scope will encompass a comprehensive range of inquiries and evaluations within the realm of patient-specific modelling for thoracic interventions. While the primary focus will remain on personalized care enhancements, the research will be open to exploring emerging technologies and methodologies. To gather further insights in developing personalized thoracic surgical interventions, we welcome articles addressing, but not limited to, the following themes:
- Adoption of computer-aided design (CAD) in creating patient-specific models - Utilization of 3D printing in surgical planning and execution - Integration of augmented reality (AR) and artificial intelligence (AI) in surgical guidance - Comparative studies on surgical outcomes with and without patient-specific modelling - Role of patient-specific models in surgical training and patient education
For this Research Topic, we encourage submissions including original research, review articles, clinical case reports, and technical advancements that explore the utility and impact of patient-specific modelling in thoracic surgical practices.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Classification
Clinical Trial
Curriculum, Instruction, and Pedagogy
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Mini Review
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Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
