ArticleJSLS : Journal of the Society of Laparoendoscopic Surgeons
AI-Assisted Volumetric Comparison of Parenchyma-Sparing Effect in Robotic Segmentectomy vs Lobectomy.
Article in JSLS : Journal of the Society of Laparoendoscopic Surgeons. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
6 authors.
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Abstract
Background and Objective: In recent years, pulmonary segmentectomy has become a preferred treatment option for early-stage lung cancer. The primary factor encouraging clinicians to choose segmentectomy is the assumption of greater parenchymal preservation. In this study, we investigated the parenchyma-sparing effect of robotic pulmonary segmentectomy compared with robotic lobectomy using artificial intelligence (AI)-assisted 3-dimensional (3D) volumetric analysis. Methods: Preoperative and postoperative thoracic computed tomography scans of patients diagnosed with lung cancer between January 2022 and December 2025 who underwent robotic lobectomy or segmentectomy were analyzed using Synapse 3D software. Resected, remaining, expected, and measured lung volumes were calculated. Differences between predicted and measured values were analyzed using the independent-samples Results: A total of 39 patients were included in the study. Lobectomy was performed in 21 patients, and segmentectomy in 18. The median resected lung volume was 360.5 mL (interquartile range [IQR]: 198-550) in the segmentectomy group and 896 mL (IQR: 599-1194) in the lobectomy group ( Conclusion: This pilot study demonstrated that robotic segmentectomy may not provide the expected parenchymal preservation advantage compared with lobectomy. Further prospective multicenter studies with larger cohorts are required.
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