Background: This prospective study evaluated open-source 3D reconstruction's impact on the preoperative assessment of colorectal liver metastases (CRLM) compared to standard 2D computed tomography (CT), focusing on its role as an “educational equalizer.” Methods: Thirty physicians, stratified by expertise, evaluated 10 cases of varying complexity. Performance was measured via a standardized scoring system (0–8), execution time, and satisfaction surveys. Results: 3D modeling significantly improved diagnostic accuracy, with median scores increasing from 3.0 to 6.0 (p < 0.001). Mean evaluation time was reduced from 268.5 to 147.5 s (p < 0.001). Notably, Juniors using 3D reached accuracy levels comparable to Specialists using 2D-CT. User satisfaction was significantly higher for 3D reconstruction (p < 0.001). Conclusions: 3D reconstruction reinforces 2D-CT for CRLM planning, enhancing anatomical understanding and reducing cognitive workload. By supporting varying expertise levels, it acts as a useful educational tool for surgical training.
Enhancing preoperative planning for colorectal liver metastases: the role of open source 3D reconstruction across different levels of surgical expertise / Nocchi, N., Tirloni, L., Risaliti, M., Morandi, A., Paolini, G., Bartolini, I., Massani, M., Grazi, G.L.. - In: THE AMERICAN JOURNAL OF SURGERY. - ISSN 0002-9610. - ELETTRONICO. - 261:(2026), pp. 117192.0-117192.0. [10.1016/j.amjsurg.2026.117192]
Enhancing preoperative planning for colorectal liver metastases: the role of open source 3D reconstruction across different levels of surgical expertise
Nocchi, NicolaData Curation
;Tirloni, LucaData Curation
;Risaliti, MatteoData Curation
;Morandi, Alessio;Paolini, GiacomoFormal Analysis
;Bartolini, IleniaFormal Analysis
;Grazi, Gian Luca
Supervision
2026
Abstract
Background: This prospective study evaluated open-source 3D reconstruction's impact on the preoperative assessment of colorectal liver metastases (CRLM) compared to standard 2D computed tomography (CT), focusing on its role as an “educational equalizer.” Methods: Thirty physicians, stratified by expertise, evaluated 10 cases of varying complexity. Performance was measured via a standardized scoring system (0–8), execution time, and satisfaction surveys. Results: 3D modeling significantly improved diagnostic accuracy, with median scores increasing from 3.0 to 6.0 (p < 0.001). Mean evaluation time was reduced from 268.5 to 147.5 s (p < 0.001). Notably, Juniors using 3D reached accuracy levels comparable to Specialists using 2D-CT. User satisfaction was significantly higher for 3D reconstruction (p < 0.001). Conclusions: 3D reconstruction reinforces 2D-CT for CRLM planning, enhancing anatomical understanding and reducing cognitive workload. By supporting varying expertise levels, it acts as a useful educational tool for surgical training.| File | Dimensione | Formato | |
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