Using Artificial Intelligence to Find the Optimal Margin Width in Hepatectomy for Colorectal Cancer Liver Metastases. Dimitris Bertsimas , Georgios Antonios Margonis , Suleeporn Sujichantararat , Thomas Boerner , Yu Ma , Jane Wang , Carsten Kamphues , Kazunari Sasaki , Seehanah Tang , Johan Gagniere , Aurelien Dupré , Inger Marie Løes , Doris Wagner , Georgios Stasinos , Andrea Macher-Beer , Richard Burkhart , Daisuke Morioka , Katsunori Imai , Victoria Ardiles , Juan Manuel O'Connor , Timothy M Pawlik , George Poultsides , Hendrik Seeliger , Katharina Beyer , Klaus Kaczirek , Peter Kornprat , Federico N Aucejo , Eduardo de Santibañes , Hideo Baba , Itaru Endo , Per Eystein Lønning , Martin E Kreis , Matthew J Weiss , Christopher L Wolfgang , Michael D'Angelica JAMA surgery（2022）
摘要
This cohort study used artificial intelligence-based methodologies to provide a possible resolution to the long-standing debate on optimal margin width in CRLM.
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hepatectomy, optimal margin width, colorectal cancer, artificial intelligence, liver
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