Machine learning improves the accuracy of graft weight prediction in living donor liver transplantation
نویسندگان
چکیده
Mariano Cesare GIGLIO, Mario ZANFARDINO, Monica FRANZESE, Hazem ZAKARIA, Salah ALOBTHANI, Ahmed ZIDAN, Roberto Ivan TROISI*, Dieter Clement BROERING. Ann Hepatobiliary Pancreat Surg 2022;26:S225. https://doi.org/10.14701/ahbps.2022S1.LV-PP-9-2
منابع مشابه
Small graft for living donor liver transplantation.
OBJECTIVE To evaluate the impact of graft size on recipients in living donor liver transplantation (LDLT) to establish a clinical guideline for the minimum requirement. SUMMARY BACKGROUND DATA Although the minimum graft size required for LDLT has been reported to be 30% to 40% of graft volume (GV)/standard liver volume (SLV), the safety limit of the graft size was unknown. METHODS A total o...
متن کاملPreoperative Computed Tomography Volumetry and Graft Weight Estimation in Adult Living Donor Liver Transplantation
Background Computed tomography volumetry (CTV) is a useful tool for predicting graft weights (GW) for living donor liver transplantation (LDLT). Few studies have examined the correlation between CTV and GW in normal liver parenchyma. Aim To analyze the correlation between CTV and GW in an adult LDLT population and provide a systematic review of the existing mathematical models to calculate pa...
متن کاملLiving Donor Liver Transplantation
Living donor liver transplantation (LDLT) is probably the most high-profile of all surgical enterprises. At the same time, it is an amazing act of altruism. It requires hard work of dedicated multidisciplinary medical teams coupled with the courage of the patients and their families. The concept of LDLT is based on the following two factors: (1) the remarkable regenerative capacity of the liver...
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ژورنال
عنوان ژورنال: Annals of Hepato-Biliary-Pancreatic surgery
سال: 2022
ISSN: ['2508-5778', '2508-5859']
DOI: https://doi.org/10.14701/ahbps.2022s1.lv-pp-9-2