Predicting the risk of post-hepatectomy portal hypertension using a digital twin: A clinical proof of concept
Predicting the risk of post-hepatectomy portal hypertension using a digital twin: A clinical proof of concept
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DOI:
10.1016/j.jhep.2020.10.036
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发表时间:
2021-02-15
影响因子:
25.7
通讯作者:
Vignon-Clementel, Irene E.
中科院分区:
文献类型:
--
作者:
Golse, Nicolas;Joly, Florian;Vignon-Clementel, Irene E.
Background & Aims: Despite improvements in medical and surgical techniques, post-hepatectomy liver failure (PHLF) remains the leading cause of postoperative death. High postoperative portal vein pressure (P-PV) and portocaval gradient (PCG), which cannot be predicted by current tools, are the most important determinants of PHLF. Therefore, we aimed to evaluate a digital twin to predict the risk of postoperative portal hypertension (PHT).Methods: We prospectively included 47 patients undergoing major hepatectomy. A mathematical (0D) model of the entire blood circulation was assessed and automatically calibrated from patient characteristics. Hepatic flows were obtained from preoperative flow MRI (n = 9), intraoperative flowmetry (n = 16), or estimated from cardiac output (n = 47). Resection was then simulated in these 3 groups and the computed Ppv and PCG were compared to intraoperative data.Results: Simulated post-hepatectomy pressures did not differ between the 3 groups, comparing well with collected data (no significant differences). In the entire cohort, the correlation between measured and simulated P-PV values was good (r = 0.66, no adjustment to intraoperative events) or excellent (r = 0.75) after adjustment, as well as for PCG (respectively r = 0.59 and r = 0.80). The difference between simulated and measured posthepatectomy PCG was