TY  - JOUR
T1  - Intelligent Software and Personalized 3D Planning for Nephron-Sparing Surgery in Pediatric Renal Tumors
A1  - Artem Evgenievich Mishvelov
A1  - Anna Yurievna Astezheva
A1  - Elizaveta Alekseevna Akishina
A1  - Amina Ivatollovna Timirova
A1  - Teymur Mubarizovich Gasanov
A1  - Amina Ruslanovna Shadova
A1  - Disana Anzorovna Kushkhova
A1  - Aleksandra Lazarevna Tian
A1  - Jennet Ruslanovna Achmedova
A1  - Galima Nurbulatovna Musagalieva
JF  - Journal of Biochemical Technology
JO  - J Biochem Technol
SN  - 0974-2328
Y1  - 2025
VL  - 16
IS  - 4
DO  - 10.51847/20n91hQ7t2
SP  - 136
EP  - 145
N2  - 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.
UR  - https://jbiochemtech.com/article/intelligent-software-and-personalized-3d-planning-for-nephron-sparing-surgery-in-pediatric-renal-tum-zdofkpeffeqhayg
ER  -