The role of artificial intelligence measured preoperative kidney volume in predicting kidney function loss in elderly kidney donors: a multicenter cohort study.

Journal: International journal of surgery (London, England)
PMID: 39116451

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.

Authors

  • Eun-Ah Jo
    Department of Surgery, Seoul National University College of Medicine.
  • Juhan Lee
    Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea.
  • Seonggong Moon
    OncoSoft Inc.
  • Jin Sung Kim
    Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.
  • Ahram Han
    Department of Surgery, Seoul National University College of Medicine.
  • Jongwon Ha
    Department of Surgery, Seoul National University College of Medicine.
  • Yong Chul Kim
    Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
  • Sangil Min
    Department of Surgery, Seoul National University College of Medicine.

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