Three-dimensional visualisation combined with intraoperative ultrasound in laparoscopic hepatectomy for complex hepatolithiasis: a propensity score-matched retrospective cohort study

Abstract Objective Complex hepatolithiasis remains challenging for laparoscopic hepatectomy. Three-dimensional visualisation technology (3DVT) alone is limited by its static, preoperative nature, whereas intraoperative ultrasound (IOUS) lacks a global anatomical overview, and quantitative evidence for their synergistic benefit remains insufficient. This propensity score-matched (PSM) retrospective cohort study evaluated whether combined 3DVT and IOUS navigation improves perioperative safety and long-term outcomes compared with conventional two-dimensional imaging in patients with complex hepatolithiasis. Results Among 180 patients who underwent laparoscopic hepatectomy between January 2020 and December 2025, 66 matched pairs were analysed. The combined-navigation group had significantly shorter operative time, less intraoperative blood loss and lower conversion and transfusion rates than the control group (all P < 0.05). The one-stage stone clearance rate was 100.0% versus 90.9% (P = 0.028), and the overall postoperative complication rate was 3.0% versus 18.2% (P = 0.009). Over a mean follow-up of approximately 37 months, the stone recurrence rate was 1.5% versus 10.6% (P = 0.039), with significantly better recurrence-free survival (log-rank P = 0.039). Combined navigation was an independent protective factor for postoperative complications (OR = 0.313, 95% CI 0.107–0.915; P = 0.034).

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Journal
Research Square
Published
2026-11-01
DOI
https://doi.org/10.21203/rs.3.rs-11154084/v1
Primary Topic
Gallbladder and Bile Duct Disorders
Type
preprint
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preprint

Three-dimensional visualisation combined with intraoperative ultrasound in laparoscopic hepatectomy for complex hepatolithiasis: a propensity score-matched retrospective cohort study

Mengjie Li, Chunyang Lv, Haobai Liu, 陈晓宇 et al.
1 links
Research Square
Gallbladder and Bile Duct Disorders
preprint

Three-dimensional visualisation combined with intraoperative ultrasound in laparoscopic hepatectomy for complex hepatolithiasis: a propensity score-matched retrospective cohort study

Mengjie Li, Chunyang Lv, Haobai Liu, 陈晓宇, Xu Fu, Chao Wang, Haoran Li, Chuang Chen
preprint en

Abstract

Abstract Objective Complex hepatolithiasis remains challenging for laparoscopic hepatectomy. Three-dimensional visualisation technology (3DVT) alone is limited by its static, preoperative nature, whereas intraoperative ultrasound (IOUS) lacks a global anatomical overview, and quantitative evidence for their synergistic benefit remains insufficient. This propensity score-matched (PSM) retrospective cohort study evaluated whether combined 3DVT and IOUS navigation improves perioperative safety and long-term outcomes compared with conventional two-dimensional imaging in patients with complex hepatolithiasis. Results Among 180 patients who underwent laparoscopic hepatectomy between January 2020 and December 2025, 66 matched pairs were analysed. The combined-navigation group had significantly shorter operative time, less intraoperative blood loss and lower conversion and transfusion rates than the control group (all P < 0.05). The one-stage stone clearance rate was 100.0% versus 90.9% (P = 0.028), and the overall postoperative complication rate was 3.0% versus 18.2% (P = 0.009). Over a mean follow-up of approximately 37 months, the stone recurrence rate was 1.5% versus 10.6% (P = 0.039), with significantly better recurrence-free survival (log-rank P = 0.039). Combined navigation was an independent protective factor for postoperative complications (OR = 0.313, 95% CI 0.107–0.915; P = 0.034).

Research Square
Nanjing University (CN)
Good health and well-being
Gallbladder and Bile Duct Disorders
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Three-dimensional visualisation combined with intraoperative ultrasound in laparoscopic hepatectomy for complex hepatolithiasis: a propensity score-matched retrospective cohort study — Mengjie Li, Chunyang Lv, et al. · Research Square (2026) | TGRS Research Map | TGRS