1. 3D modeling in adherent perinephric fat prediction in nephron-sparing surgery planning in patients with localized renal neoplasms
- Author
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Yuri Alyaev, Stanislav Vovdenko, Evgeny Sirota, Leonid Rapoport, Anastasia Sirota, and Dmitrii G. Tsarichenko
- Subjects
Male ,medicine.medical_specialty ,Scoring system ,030232 urology & nephrology ,Urology ,Kidney ,Nephrectomy ,Adipose capsule of kidney ,Renal neoplasm ,03 medical and health sciences ,0302 clinical medicine ,Renal cell carcinoma ,Humans ,Medicine ,In patient ,Laparoscopy ,Carcinoma, Renal Cell ,Retrospective Studies ,medicine.diagnostic_test ,business.industry ,Nephrons ,General Medicine ,Middle Aged ,medicine.disease ,Kidney Neoplasms ,030220 oncology & carcinogenesis ,Nephron sparing surgery ,business - Abstract
Study objective: To develop a 3D-image based morphometry scoring system for Adherent Perinephric Fat (APF) prediction in nephron-sparing surgery in renal neoplasm patients. Materials and methods: The retrospective study involved 391 patients who underwent a laparoscopic partial nephrectomy performed by five surgeons from January 2014 till December 2018. The surgery involved the 3D virtual operation planning with «Amira» 3D modeling software. With the multivariate logistic regression models, we developed a scoring system based on 3D-models. We tested the significance and sensitivity of new scoring system in a comparative ROC analysis with Mayo Adhesive Probability Score (MAP). Results: We found APF in 111 patients (28.4%). The univariate analysis revealed that significant indicators included mean age 59.88 (55–67) ( p 30 (21.47–35.08) kg/m2 ( p 5 mm shadows in perirenal space OR = 7.3 (3.6–15.3) ( p 5 OR = 3.8 (2.1–6.8) ( p Conclusions: The statistical findings comparison of the scoring system that we developed with those of MAP scale suggests that the scoring system is efficient and applicable.
- Published
- 2021
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