2025 Volume 16 Issue 4
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Intelligent Software and Personalized 3D Planning for Nephron-Sparing Surgery in Pediatric Renal Tumors


, , , , , , , , ,
  1. Specialist in Imaging and Surgery Planning, Department of Radiation Diagnostics, JSC "Regional Clinical Diagnostic Center", Stavropol, Russia.
  2. General Director, LLC "Fenixmed AI", Stavropol, Russia.
  3. Faculty of Medicine, Stavropol State Medical University, Stavropol, Russia.
  4. Faculty of Pediatrics, Clinical Institute of Children's Health, Saratov State Medical University named after V.I. Razumovsky, Saratov, Russia.

  5. Faculty of Medicine, Institute of Clinical Medicine, Saratov State Medical University named after V.I. Razumovsky, Saratov, Russia.

Abstract

Renal tumors account for approximately 6% of all childhood malignancies, with nephroblastoma (Wilms' tumor) being the most common subtype, predominantly affecting children aged 2 to 5 years. Less frequent entities include congenital mesoblastic nephroma, cystic nephromas, and renal cell carcinoma (RCC) in adolescents. While radical nephrectomy remains the standard treatment for unilateral Wilms' tumor, nephron-sparing surgery is preferred in selected cases such as bilateral disease, solitary kidneys, or genetic predisposition syndromes. Volume rendering and three-dimensional reconstruction are two examples of advanced imaging and modelling technologies that have become useful tools for enhancing preoperative planning and surgical accuracy. This study presents the clinical experience of three pediatric renal tumor cases managed with personalized 3D planning and intelligent software solutions: an infant with an NTRK-rearranged tumor, a 6-year-old child with nephroblastoma, and a 17-year-old adolescent with RCC. The methodology for 3D model generation, including MRI/CT segmentation and VR visualization, is described, along with the impact of these technologies on surgical outcomes. Comparative analysis with recent international literature over the past three years is provided. Key parameters such as resection margin status and functional outcomes are examined, alongside discussion of the approach's limitations, including small sample size and resource intensity. The findings support the potential of 3D technologies to enhance surgical planning and optimize nephron-sparing interventions in pediatric renal oncology.


How to cite this article
Vancouver
Mishvelov AE, Astezheva AY, Akishina EA, Timirova AI, Gasanov TM, Shadova AR, et al. Intelligent Software and Personalized 3D Planning for Nephron-Sparing Surgery in Pediatric Renal Tumors. J Biochem Technol. 2025;16(4):136-45. https://doi.org/10.51847/20n91hQ7t2
APA
Mishvelov, A. E., Astezheva, A. Y., Akishina, E. A., Timirova, A. I., Gasanov, T. M., Shadova, A. R., Kushkhova, D. A., Tian, A. L., Achmedova, J. R., & Musagalieva, G. N. (2025). Intelligent Software and Personalized 3D Planning for Nephron-Sparing Surgery in Pediatric Renal Tumors. Journal of Biochemical Technology, 16(4), 136-145. https://doi.org/10.51847/20n91hQ7t2
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