Deep learning algorithm for automatically measuring Cobb angle in patients with idiopathic scoliosis.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Published Date:

Abstract

PURPOSE: The Cobb angle is a standard measurement to qualify and track the progression of scoliosis. However, the Cobb angle has high inter- and intra-observer variability. Consequently, its measurement varies with vertebrae and may even differ when the same vertebra is measured. Therefore, it is not constant and differs with measurements. This study aimed to develop a deep learning model that automatically measures the Cobb angle. The deep learning model for identifying vertebrae on spine radiographs was developed.

Authors

  • Ming Xing Wang
    Department of Business Administration, School of Business, Yeungnam University, Gyeongsan-Si, Republic of Korea.
  • Jeoung Kun Kim
    Department of Business Administration, School of Business, Yeungnam University, Gyeongsan-si, Republic of Korea.
  • Jin-Woo Choi
    Department of Physical Medicine and Rehabilitation, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
  • Donghwi Park
    Department of Physical Medicine and Rehabilitation, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojinsunghwndo-ro, Dong-gu, Ulsan, 44033, Republic of Korea. bdome@hanmail.net.
  • Min Cheol Chang
    Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University, Taegu, Republic of Korea. Electronic address: wheel633@ynu.ac.kr.