Advantages of a modified tumor volume and contact surface area calculation formula for the correlation and prediction of perioperative indicators in partial nephrectomy
10.3969/j.issn.1009-8291.2025.06.005
- VernacularTitle:改良肿瘤体积及接触面积计算公式在肾部分切除术围手术期指标相关性与预测中的优势研究
- Author:
Zihao LI
1
;
Chong YAN
1
;
Yao DONG
1
;
Geng TIAN
1
;
Yifei MA
1
;
Hongliang LI
2
;
Tie CHONG
2
;
Delai FU
2
Author Information
1. The Second School of Clinical Medicine, Medical Department of Xi'an Jiaotong University, Xi'an 710061
2. Department of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
- Publication Type:Journal Article
- Keywords:
renal tumor;
tumor volume;
tumor contact surface area;
calculation formula;
3D Slicer software
- From:
Journal of Modern Urology
2025;30(6):481-488
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To develop a modified calculation formula for renal tumor volume and tumor contact surface area (CSA) based on the modeling results of 3D Slicer software, and to create a webpage of the calculation formula for use. Methods: The general information and tumor anatomical data of 98 patients who underwent partial nephrectomy during Jan.2021 and Jul.2023 in the Second Affiliated Hospital of Xi'an Jiaotong University were retrospectively analyzed.The imaging data were input into 3D Slicer software in the form of Dicom files for tumor and ipsilateral kidney modeling to obtain tumor anatomical data.The relationship between tumor anatomical parameters and tumor volume and CSA was analyzed using multifactorial linear regression.The initial modified formulas (V2, C2) and the optimized modified formulas (V3, C3) for tumor volume over CSA were established, respectively, after insignificant variables were eliminated.The mean square error (MSE) and Akaike information criterion (AIC) of the modified and traditional formulas (V1, C1) were compared, and the formula with the smallest MSE and AIC was selected as the optimal tumor volume and CSA calculation formula.The median tumor volume and CSA obtained from 3D modeling were used as the cutoff values.The optimal formula and conventional formula were applied to calculate tumor volume and CSA for all patients, and risk stratification was performed for all patients based on these cutoff values, and the perioperative indicators of patients in the upper and lower groups were compared.Finally, an online calculation tool was developed based on HTML. Results: Based on multifactorial linear regression analysis, we obtained the modified tumor volume calculation formula: V=0.382abc+2.488a+2.372b－4.146c+1.948（V2）, V=0.469abc－4.586c+13.816（V3）; the modified tumor CSA calculation formula CSA=2.469a
－2.262L
－19.23a+6.206b+1.212c+18.017L+1.616h－3.97h
－2.185h/h
－0.388（C2）, CSA=2.376a
－2.144L
－20.157a+5.024b+1.128c+17.578L+2.525h－2.634（C3）.Both of the modified volume formula (MSE=151.298 vs. 127.807 vs. 104.106) and modified CSA formula (MSE=309.878 vs.23.556 vs.30.388) had smaller errors compared to the conventional formula.The modified volume calculation formula showed that bleeding was more and thermal ischemia time was longer in patients with larger tumor volumes than in patients with smaller tumor volumes (P<0.05); and the modified CSA calculation formula showed that bleeding was more, surgery and thermal ischemia time were longer in patients with high CSA than in patients with low CSA (P＜0.05).Finally, V3 and C3 are selected as the best calculation formula, and a web page (https://lizihao-bot.github.io/RCC-Calculate/) was established for easy use. Conclusion: This study combined data from a medical information technology platform with numerical modeling methods to provide a faster and more accurate method to calculate the renal tumor volume and CSA.Meanwhile, a webpage version of the tool was developed to enhance its practicability.
