{Reference Type}: Journal Article {Title}: Evolution of minimally invasive liver surgery in France over the last decade. {Author}: Deyrat J;Fuks D;Murris J;Lanoy E;Nassar A;Dhote A;Marchese U;Mallet V;Katsahian S;Gaillard M;Tzedakis S; {Journal}: Surg Endosc {Volume}: 0 {Issue}: 0 {Year}: 2024 Jun 20 {Factor}: 3.453 {DOI}: 10.1007/s00464-024-10951-3 {Abstract}: BACKGROUND: Despite evidence of benefits on postoperative outcomes, minimally invasive liver surgery (MILS) had a very low diffusion up to 2014, and recent evolution is unknown. Our aim was to analyze the recent diffusion and adoption of MILS and compare the trends in indications, extent of resection, and institutional practice with open liver surgery (OLS).
METHODS: We analyzed the French nationwide, exhaustive cohort of all patients undergoing a liver resection in France between January 1, 2013 and December 31, 2022. Average annual percentage changes (AAPC) in the incidence of MILS and OLS were compared using mixed-effects log-linear regression models. Time trends were analyzed in terms of extent of resection, indication, and institutional practice.
RESULTS: MILS represented 25.2% of 74,671 liver resections and year incidence doubled from 16.5% in 2013 to 35.4% in 2022. The highest AAPC were observed among major liver resections [+ 22.2% (19.5; 24.9) per year], primary [+ 10.2% (8.5; 12.0) per year], and secondary malignant tumors [+ 9.9% (8.2; 11.6) per year]. The highest increase in MILS was observed in university hospitals [+ 14.7% (7.7; 22.2) per year] performing 48.8% of MILS and in very high-volume (> 150 procedures/year) hospitals [+ 12.1% (9.0; 15.3) per year] performing 19.7% of MILS. OLS AAPC decreased for all indications and institutions and accelerated over time from - 1.8% (- 3.9; - 0.3) per year in 2013-2018 to - 5.9% (- 7.9; - 3.9) per year in 2018-2022 (p = 0.013).
CONCLUSIONS: This is the first reported trend reversal between MILS and OLS. MILS has considerably increased at a national scale, crossing the 20% tipping point of adoption rate as defined by the IDEAL framework.