Near Real-Time Estimation of Blood Loss and Flow–Pressure Redistribution during Unilateral Nephrectomy

Author:

Cowley James1,Kyeremeh Justicia2ORCID,Stewart Grant D.2ORCID,Luo Xichun3,Shu Wenmiao1ORCID,Kazakidi Asimina1ORCID

Affiliation:

1. Department of Biomedical Engineering, University of Strathclyde, Glasgow G4 0NW, UK

2. Department of Surgery, University of Cambridge, Cambridge CB2 0QQ, UK

3. Centre for Precision Manufacturing, Department of Design Manufacturing & Engineering Management, University of Strathclyde, Glasgow G1 1XJ, UK

Abstract

Radical or partial nephrectomy, commonly used for the treatment of kidney tumors, is a surgical procedure with a risk of high blood loss. The primary aim of this study is to quantify blood loss and elucidate the redistribution of blood flux and pressure between the two kidneys and the abdominal aorta during renal resection. We have developed a robust research methodology that introduces a new lumped-parameter mathematical model, specifically focusing on the vasculature of both kidneys using a non-Newtonian Carreau fluid. This model, a first-order approximation, accounts for the variation in the total impedance of the vasculature when various vessels are severed in the diseased kidney (assumed to be the left in this work). The model offers near real-time estimations of the flow–pressure redistribution within the vascular network of the two kidneys and the downstream aorta for several radical or partial nephrectomy scenarios. Notably, our findings indicate that the downstream aorta receives an approximately 1.27 times higher percentage of the redistributed flow from the diseased kidney compared to that received by the healthy kidney, in nearly all examined cases. The implications of this study are significant, as they can inform the development of surgical protocols to minimize blood loss and can assist surgeons in evaluating the adequacy of the remaining kidney vasculature.

Funder

UK Research and Innovation (UKRI) Engineering and Physical Sciences Research Council

Publisher

MDPI AG

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