Utilizing artificial intelligence to determine bone mineral density using spectral CT.

Journal: Bone
PMID: 39515509

Abstract

BACKGROUND: Dual-energy computed tomography (DECT) has demonstrated the feasibility of using HAP-water to respond to BMD changes without requiring dedicated software or calibration. Artificial intelligence (AI) has been utilized for diagnosising osteoporosis in routine CT scans but has rarely been used in DECT. This study investigated the diagnostic performance of an AI system for osteoporosis screening using DECT images with reference quantitative CT (QCT).

Authors

  • Yali Li
    Research Center for Drug Discovery & Institute of Human Virology, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou 510006, China. junxu@biochemomes.com.
  • Dan Jin
    Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Yan Zhang
    Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.
  • Wenhuan Li
    CT Research Center, GE Healthcare China, 1 South Tongji Road, Beijing, China.
  • Chenyu Jiang
    Department of Radiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, People's Republic of China.
  • Ming Ni
    Department of Orthopaedics, Chinese People's Liberation Army General Hospital (301 Hospital), 28 Fuxing Rd, 100853, Beijing, China.
  • Nianxi Liao
    Yizhun Medical AI Co., Ltd, No. 7 Zhichun Road, Haidian District, Beijing, China.
  • Huishu Yuan
    Department of Radiology, Peking University Third Hospital, Beijing 10019, China.

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