Deep Learning-Based Adrenal Gland Volumetry for the Prediction of Diabetes.

Journal: Endocrinology and metabolism (Seoul, Korea)
Published Date: Jun 18, 2025

Abstract

BACKGROUND: The long-term association between adrenal gland volume (AGV) and type 2 diabetes (T2D) remains unclear. We aimed to determine the association between deep learning-based AGV and current glycemic status and incident T2D.

Authors

  • Eu Jeong Ku
    Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Korea.
  • Soon Ho Yoon
    Department of Radiology, Seoul National College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (H.C., S.H.Y., S.J.P., C.M.P., J.H.L., H. Kim, E.J.H., S.J.Y., J.G.N., C.H.L., J.M.G.); CHESS Center, The First Hospital of Lanzhou University, Lanzhou, China (Q.X., J.L.); Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (K.H.L.); Department of Internal Medicine, Incheon Medical Center, Incheon, Korea (J.Y.K.); Department of Radiology, Seoul Medical Center, Seoul, Korea (Y.K.L.); Department of Radiology, National Medical Center, Seoul, Korea (H. Ko); Department of Radiology, Myongji Hospital, Gyeonggi-do, Korea (K.H.K.); and Department of Radiology, Chonnam National University Hospital, Gwanju, Korea (Y.H.K.).
  • Seung Shin Park
    Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Dae-hak ro, Seoul 03080, Republic of Korea.
  • Ji Won Yoon
    Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea.
  • Jung Hee Kim
    Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.

Keywords

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