Aniyat Sheikh,
Rufaida Binta Jalal,
Deepanshu Sharma,
- Assistant Professor, Department of Allied Health Sciences, Desh Bhagat University, Mandi Gobindgarh, Punjab, Punjab
- Assistant Professor, Department of Allied Health Sciences, Desh Bhagat University, Mandi Gobindgarh, Punjab, India
- Assistant Professor, Department of Allied Health Sciences, Desh Bhagat University, Mandi Gobindgarh, Punjab, India
Abstract
Renal cell carcinoma is the most common form of kidney cancer, representing 2–3% of global cases, with the highest incidence in Western Europe. For small renal tumors, partial nephrectomy is the preferred treatment, where the tumor is surgically removed. This procedure does not affect oncological outcomes, allowing part of the kidney to remain functional. During tumor removal, the surgeon minimizes excessive bleeding and improves visibility by cutting off the arterial blood supply to the tumor. While selectively clamping the arteries feeding the tumor reduces ischemia in healthy tissue, it is crucial to have a detailed understanding of each patient’s vascular structure and the blood supply to the surrounding parenchyma. Currently, the surgeon largely depends on their experience and 3D interpretation of 2D CT slices to identify the appropriate areas for clipping, which complicates preoperative planning. Indocyanine green visualization enables the inspection of tumor ischemia following clamping; however, this method only yields surface data and is only applicable intraoperatively, therefore, pre-operative planning is not possible. The goal of this thesis is to provide a planning tool that assists the surgeon in selecting the best cutting spots for partial nephrectomy surgery. To generate a 3D map of the perfusion areas for each arterial segment, a model is developed that utilizes 3D reconstructions of the renal parenchyma and arterial tree. Thus, the perfusion map enables the selection of the arterial segments supplying the cancer, and the tumor may be removed without the need for blood by clamping these vessels.
Keywords: Renal cell carcinoma, partial nephrectomy, kidney cancer, 3D reconstruction, renal perfusion mapping, arterial clamping, ischemia reduction, surgical planning tool, preoperative planning
[This article belongs to Research and Reviews : Journal of Surgery ]
Aniyat Sheikh, Rufaida Binta Jalal, Deepanshu Sharma. Progress in Renal Tumor Surgery: The Role of 3D Surgical Planning in Partial Nephrectomy. Research and Reviews : Journal of Surgery. 2025; 14(03):35-40.
Aniyat Sheikh, Rufaida Binta Jalal, Deepanshu Sharma. Progress in Renal Tumor Surgery: The Role of 3D Surgical Planning in Partial Nephrectomy. Research and Reviews : Journal of Surgery. 2025; 14(03):35-40. Available from: https://journals.stmjournals.com/rrjos/article=2025/view=233093
References
- Parkin DM, Ervik M, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Global cancer incidence and mortality, GLOBOCAN 2012 v1.0. Lyon: International Agency for Research on Cancer; 2013 [cited 2025 Jul 28]. Available from: http://globocan.iarc.fr.
- Hew MN, de la Rosette JJ, Laguna MP, Opondo D, Zonneveld R, Kümmerlin IP. Variations in renal cell carcinoma in a European sample by age and gender. J Urol. 2012 Jul;188(1):33–8.
- Rota M, Cumberbatch MG, Catto JW, La Vecchia C. Incidence and mortality risks of tobacco smoke-related bladder and kidney carcinogenesis: A comparison of exposures. Eur Urol. 2016 Oct;70(3):458–66.
- Chow WH, Dong LM, Devesa SS. Kidney cancer epidemiology and risk factors. Nat Rev Urol. 2010 May;7(5):245–57.
- Levi F, Ferlay J, Galeone C, Negri E, Boyle P, La Vecchia C. The evolving trend of kidney cancer incidence and death in Europe. BJU Int. 2008 May;101(7):949–58.
- Prichard HM, Bissett R, Desai M, Lightfoot N, Conlon M, Kreiger N, et al. Effects of noninvasive imaging on the rise in renal cell cancer incidental detection. Eur Urol. 2000 May;37(5):521–7.
- Kovacs G. Molecular cytogenetics of renal cell tumours. Adv Cancer Res. 1993;62:89–124.
- Ferlay J, Soerjomataram I, Ervik M, Dikshit R, Eser S, Mathers C, et al. GLOBOCAN 2012 v1.0: cancer incidence and mortality worldwide. IARC CancerBase No. 11. Lyon: International Agency for Research on Cancer; 2013 [cited 2025 Jul 28]. Available from: http://globocan.iarc.fr.
- Moser S, Denecke T, Rieker RJ, Schirmacher P, Longerich T, Otto HF, et al. Molecular prognostication of renal cell carcinoma: The role of gene expression signatures. Urology. 2015 Jun;85(6):1290–5.
- Nuzzo PV, Perrotta R, Pappalardo A, Garonzi C, Brandi G, Calabrò F, et al. Renal cell carcinoma and metabolic syndrome: A review of the literature. Urol Int. 2014;93(4):379–85.

Research and Reviews : Journal of Surgery
| Volume | 14 |
| Issue | 03 |
| Received | 06/06/2025 |
| Accepted | 31/07/2025 |
| Published | 26/11/2025 |
| Publication Time | 173 Days |
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