Projects per year
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.
Original language | English |
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Article number | 214 |
Number of pages | 18 |
Journal | Fluids |
Volume | 9 |
Issue number | 9 |
DOIs | |
Publication status | Published - 13 Sept 2024 |
Keywords
- blood loss
- kidney tumor
- renal arteries
- vessel cutting
- surgery
- resection
- two-kidney vasculature
- simulation
- mathematical modelling
- lumped-parameter model
- blood flux
- pressure
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Real-time Digital Twin Assisted Surgery
Shu, W. (Principal Investigator), Connolly, P. (Co-investigator), Kazakidi, A. (Co-investigator) & Luo, X. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/09/23 → 31/08/27
Project: Research
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Digital twin guided minimally invasive, intelligent and intuitive surgery (MI-3 Surgery)
Shu, W. (Principal Investigator), Kazakidi, A. (Co-investigator) & Luo, X. (Principal Investigator)
1/10/21 → 1/06/23
Project: Research
Datasets
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Data for "Near real-time estimation of blood loss and flow-pressure re-distribution during unilateral nephrectomy"
Cowley, J. (Creator), Kazakidi, A. (Creator), Shu, W. (Creator), Luo, X. (Creator) & Stewart, G. D. (Creator), University of Strathclyde, 12 Sept 2024
DOI: 10.15129/6f56502c-62bf-47b2-9208-6c41814ca50a
Dataset