Comparative analysis of robotic vs. laparoscopic right hepatectomy: propensity score matching and machine learning analysis for outcome prediction.

Fiche publication

Date publication

mars 2026

Journal

Frontiers in surgery

Auteurs

Membres identifiés du Cancéropôle Est :
Pr PESSAUX Patrick

Tous les auteurs :
Mazzotta AD, Samer D, Salina G, Ratti F, Baldisseri F, Magistri P, Belli A, Ceccarelli G, Izzo F, Spampinato MG, De' Angelis N, Pessaux P, Piardi T, Di Benedetto F, Ammendola M, Aldrighetti L, Mennini G, Tedeschi M, Memeo R, Soubrane O

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/41971057

Résumé

Robotic right hepatectomy (RRH) is increasingly utilized as a minimally invasive liver surgery approach, yet its comparative effectiveness against laparoscopic right hepatectomy (LRH) remains debated. Complication prediction is crucial to efficiently choice the approach. This study aimed to compare RRH and LRH using a propensity score-matched (PSM) analysis and assess the predictive power of machine learning (ML), focusing on Random Forest-based feature selection.