Systematic review and meta-analysis of difficulty scoring systems for laparoscopic and robotic liver resections
Articolo
Data di Pubblicazione:
2023
Citazione:
Systematic review and meta-analysis of difficulty scoring systems for laparoscopic and robotic liver resections / Linn, Y., Wu, A.G., Han, H., Liu, R., Chen, K., Fuks, D., Soubrane, O., Cherqui, D., Geller, D., Cheung, T., Edwin, B., Aldrighetti, L., Abu Hilal, M., Troisi, R.I., Wakabayashi, G.o., Goh, B.K.P.. - In: JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES. - ISSN 1868-6982. - 30:1(2023), pp. 36-59. [10.1002/jhbp.1211]
Abstract:
The ability to stratify the difficulty of minimally invasive liver resection (MILR) allows surgeons at different phases of the learning curve to tackle cases of appropriate difficulty safely. Several difficulty scoring systems (DSS) have been formulated which attempt to accurately stratify this difficulty. The present study aims to review the literature pertaining to the existing DSS for MILR.
Tipologia CRIS:
1.1.1 Articolo in rivista - Review
Elenco autori:
Linn, Yun-Le; Wu, Andrew G; Han, Ho-Seong; Liu, Rong; Chen, Kuo-Hsin; Fuks, David; Soubrane, Olivier; Cherqui, Daniel; Geller, David; Cheung, Tan-To; Edwin, Bjørn; Aldrighetti, Luca; Abu Hilal, Mohammad; Troisi, Roberto I; Wakabayashi, Go; Goh, Brian K P
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