Abstract
Background: Three-dimensional (3D) laparoscopy provides stereopsis and may reduce operating time (OT) and morbidity. However, there is a paucity of literature on its use in laparoscopic liver resection (LLR). This study aims to compare outcomes between 3D and two-dimensional (2D) LLR. Materials and Methods: PubMed, Embase, Scopus, and the Cochrane Library were systematically searched from inception to November 2022. The inclusion criterion was studies comparing intraoperative characteristics and/or postoperative outcomes between 3D and 2D LLR. Studies on the use of 3D image reconstruction techniques for preoperative planning were excluded. Primary outcomes were OT, estimated blood loss (EBL), and overall morbidity. Secondary outcomes were other postoperative complications, need for reoperation, and in-hospital mortality. Results: Four studies with 361 patients (3D: n = 159, 2D: n = 202) were included. There were 65.3% males (overall: n = 236/361). Age, sex, body-mass index, incidence of diabetes mellitus, hepatitis B and/or C carrier, receipt of neoadjuvant chemotherapy, tumor size, and incidence of multiple tumors were comparable between 3D and 2D LLR. No studies reported on Child-Pugh status. One study included only patients with hepatocellular carcinoma, two studies included patients with mixed histopathology, and one study did not report on histopathology. There was no significant difference in OT (mean difference [MD] -31.6 minutes, 95% confidence interval [CI]: -89.7 to 26.5), EBL (MD -454.1 mL, 95% CI: -978.8 to 70.6), need for reoperation (odds ratio [OR] 0.91, 95% CI: 0.18-4.61), and in-hospital mortality (OR 0.52, 95% CI: 0.06-5.50) between 3D and 2D LLR. Overall morbidity was lower in 3D LLR (OR 0.56, 95% CI: 0.32-0.98, P = .04). However, the learning curve (LC) was not described in the included studies and may confound outcomes. Conclusions: 3D LLR may reduce overall postoperative morbidity compared with 2D LLR, but results may be confounded by the lack of standardization of surgeons' experience and the LC of 3D LLR.
Published Version
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