Deep Learning-enhanced Opportunistic Osteoporosis Screening in Ultralow-Voltage (80 kV) Chest CT: A Preliminary Study.

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: To explore the feasibility of deep learning (DL)-enhanced, fully automated bone mineral density (BMD) measurement using the ultralow-voltage 80 kV chest CT scans performed for lung cancer screening.

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.
  • Suwei Liu
    Department of Radiology, Peking University Third Hospital, 49 Huayuan N Rd, Haidian District, Beijing, China (Y.L., S.L., Y.Z., CC.J., M.N., D.J., J.W., X.P., H.Y.).
  • Yan Zhang
    Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.
  • Mengze Zhang
    Department of Radiology, Peking University Third Hospital, Beijing 100191, 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.
  • Dan Jin
    Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Zhen Qian
    Department of Civil and Environmental Engineering and Heinz College, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
  • Jiangxuan Wang
    Department of Radiology, Peking University Third Hospital, 49 Huayuan N Rd, Haidian District, Beijing, China (Y.L., S.L., Y.Z., CC.J., M.N., D.J., J.W., X.P., H.Y.).
  • Xuemin Pan
    Department of Radiology, Peking University Third Hospital, 49 Huayuan N Rd, Haidian District, Beijing, China (Y.L., S.L., Y.Z., CC.J., M.N., D.J., J.W., X.P., H.Y.).
  • Huishu Yuan
    Department of Radiology, Peking University Third Hospital, Beijing 10019, China.