한빛사논문
Jo, Eun-Aha,b; Lee, Juhanc; Moon, Seonggongd; Kim, Jin Sungd,e,f; Han, Ahrama; Ha, Jongwona; Kim, Yong Chulg; Min, Sangila,*
aDepartment of Surgery, Seoul National University College of Medicine, Seoul, Korea
bDepartment of Surgery, Chung-Ang University Hospital, Seoul, Korea
cDepartment of Surgery, Yonsei University College of Medicine, Seoul, Korea
dOncoSoft Inc., Seoul, Korea
eDepartment of Radiation Oncology, Yonsei University College of Medicine, Seoul, Korea
fDepartment of Radiation Oncology, Yonsei Cancer Center Severance Hospital, Seoul, Korea
gDepartment of Nephrology, Seoul National University College of Medicine, Seoul, Korea
*Corresponding author: S. Min
Abstract
Background: The increasing use of kidneys from elderly donors raises concerns due to age-related nephron loss. Combined with nephrectomy, this loss of nephrons markedly increases the risk of developing chronic kidney disease (CKD). This study aimed to investigate the prognostic value of preoperative kidney cortex volume in predicting the loss of kidney function in elderly donors, by developing an artificial intelligence (AI)-based model for precise kidney volume measurement and applying it to living kidney donors.
Materials methods: A multicenter retrospective cohort study using data from living donors who underwent donor nephrectomy between January 2010 and December 2020 was conducted. An AI segmentation model was developed and validated to measure kidney cortex volume from pre-donation computer tomographic (CT) images. The association between measured preoperative kidney volumes and post-nephrectomy renal function was analyzed through a generalized additive model.
Results: A total of 1074 living kidney donors were included in the study. Validation of the developed kidney cortex volume model showed a Dice similarity coefficient of 0.97 and a Hausdorff distance of 0.76 mm. The measured cortex volumes exhibited an age-related decrease, which correlated with declining kidney function. Elderly donors showed greater decreases in estimated glomerular filtration rates (eGFR) post-donation compared to young donors (P=0.041). Larger preoperative remnant kidney cortex volume was associated with significantly less decline of eGFR post-donation than those with smaller preoperative remnant kidney cortex volume (P<0.001).
Conclusion: This study highlights the critical role of preoperative kidney cortex volume in the donor assessment process, particularly for elderly donors. The fully automated model for measuring kidney cortex volume provides a valuable tool for predicting post-donation renal function and holds promise for enhancing donor evaluation and safety.
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