Feasibility of deep learning algorithm in diagnosing lumbar central canal stenosis using abdominal CT.

Journal: Skeletal radiology
Published Date: Sep 9, 2024

Abstract

OBJECTIVE: To develop a deep learning algorithm for diagnosing lumbar central canal stenosis (LCCS) using abdominal CT (ACT) and lumbar spine CT (LCT).

Authors

  • Yejin Jeon
    Department of Radiology, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beon-Gil, Bundang-Gu, Seongnam-Si, Gyeonggi-Do, 13620, Republic of Korea.
  • Bo Ram Kim
    Interdisciplinary Program in Senior Human Ecology, Changwon National University, Changwon, 51140 Korea.
  • Hyoung In Choi
    Korean Armed Forces Capital Hospital, Seongnam, Korea.
  • Eugene Lee
    Department of Radiology, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.
  • Da-Wit Kim
    Coreline Soft Co., Ltd, Mapo-gu, Seoul, Republic of Korea.
  • Boorym Choi
    Coreline Soft Co. Ltd., World-Cup Bukro 6-Gil, Mapogu, Seoul, 03991, Korea.
  • Joon Woo Lee
    Department of Radiology, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.

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