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Life sciences · Observational Study
ClinicalTrials.gov · October 1, 2026
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Observational Study.
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Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
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Registry record from ClinicalTrials.gov (NCT07853157). This is a study registration, not published results. Lead sponsor: S. Andrea Hospital. Recruitment status: NOT_YET_RECRUITING. Study type: OBSERVATIONAL. Enrollment: 50 participants (ESTIMATED). Conditions: Lung Cancer, Artifical Intelligence, Surgery for Primary Lung Cancer. Interventions: OTHER: AI-Based 3D Reconstruction. Primary outcome measures: Patient-Level Anatomical Accuracy of AI-Generated 3D Reconstruction , From preoperative CT imaging through completion of the surgical procedure. Brief summary: This prospective observational study aims to validate an artificial intelligence (AI)-based system for automated three-dimensional (3D) reconstruction of pulmonary anatomy from preoperative chest computed tomography (CT) scans in patients undergoing lung resection. The AI system will automatically identify and reconstruct relevant pulmonary anatomical structures, including pulmonary arteries, veins, bronchi, lobes, and segments. AI-generated 3D reconstructions will be compared with expert manual 3D reconstructions and with anatomical findings documented during surgery. The primary objective is to assess the anatomical accuracy of AI-generated 3D reconstructions in identifying surgically relevant bronchovascular anatomy and anatomical variants. Secondary objectives include evaluating accuracy for individual anatomical structures, discrepancies between automated and manual reconstructions, concordance with intraoperative findings, and the time required to generate and review the automated reconstruction. The study is observational and will not modify the planned surgical procedure or standard patient care.