Projects per year
Abstract
In 2021, approximately 51% of patients diagnosed with kidney tumors underwent surgical resections. One possible way to reduce complications from surgery is to minimise the associated blood loss, which, in the case of partial nephrectomy, is caused by the inadequate repair of branching arteries within the kidney cut during the tumor resection. The kidney vasculature is particularly complicated in nature, consisting of various interconnecting blood vessels and numerous bifurcation, trifurcation, tetrafurcation, and pentafurcation points. In this study, we present a mathematical lumped-parameter model of a whole kidney, assuming a non-Newtonian Carreau fluid, as a first approximation of estimating the blood loss arising from the cutting of single or multiple vessels. It shows that severing one or more blood vessels from the kidney vasculature results in a redistribution of the blood flow rates and pressures to the unaltered section of the kidney. The model can account for the change in the total impedance of the vascular network and considers a variety of multiple cuts. Calculating the blood loss for numerous combinations of arterial cuts allows us to identify the appropriate surgical protocols required to minimise blood loss during partial nephrectomy as well as enhance our understanding of perfusion and account for the possibility of cellular necrosis. This model may help renal surgeons during partial organ resection in assessing whether the remaining vascularisation is sufficient to support organ viability.
Original language | English |
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Article number | 316 |
Number of pages | 21 |
Journal | Fluids |
Volume | 8 |
Issue number | 12 |
DOIs | |
Publication status | Published - 10 Dec 2023 |
Keywords
- blood loss
- kidney tumor
- renal arteries
- vessel cutting
- surgery
- resection
- mathematical modelling
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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. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/21 → 1/06/23
Project: Research
Datasets
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Source code for: "A mathematical model of blood loss during renal resection"
Cowley, J. (Creator) & Kazakidi, A. (Creator), University of Strathclyde, 29 Nov 2023
DOI: 10.15129/78fb70eb-0e8d-4a11-9d6d-97b050266743
Dataset