title: Computer-Aided Diagnosis of Different Rotator Cuff Lesions Using Shoulder Musculoskeletal Ultrasound.
abstract: The lifetime prevalence of shoulder pain approaches 70%, which is mostly attributable to rotator cuff lesions such as inflammation, calcific tendinitis and tears. On clinical examination, shoulder ultrasound is recommended for the detection of lesions. However, there exists inter-operator variability in diagnostic accuracy because of differences in the experience and expertise of operators. In this study, a computer-aided diagnosis (CAD) system was developed to assist ultrasound operators in diagnosing rotator cuff lesions and to improve the practicality of ultrasound examination. The collected cases included 43 cases of inflammation, 30 cases of calcific tendinitis and 26 tears. For each case, the lesion area and texture features were extracted from the entire lesions and combined in a multinomial logistic regression classifier for lesion classification. The proposed CAD achieved an accuracy of 87.9%. The individual accuracy of this CAD system was 88.4% for inflammation, 83.3% for calcific tendinitis and 92.3% for tears. Cohen's k was 0.798. On the basis of its diagnostic performance, clinical use of this CAD technique has promise.
authors.affiliation: Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
authors.forename: Ruey-Feng
authors.initials: RF
authors.lastname: Chang
authors.affiliation: Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; Department of Orthopedic Surgery, New Taipei City Hospital, New Taipei City, Taiwan; Department of Orthopedic Surgery, National Taiwan University Hospital, Taipei, Taiwan. Electronic address: leecc@ntu.edu.tw.
authors.forename: Chung-Chien
authors.initials: CC
authors.lastname: Lee
authors.affiliation: Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan. Electronic address: buddylo@tmu.edu.tw.
authors.forename: Chung-Ming
authors.initials: CM
authors.lastname: Lo
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D007249:Inflammation / Q000000981:diagnostic imaging*; D007592:Joint Diseases / Q000000981:diagnostic imaging; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D017006:Rotator Cuff / Q000000981:diagnostic imaging*; D000070636:Rotator Cuff Injuries / Q000000981:diagnostic imaging*; D052256:Tendinopathy / Q000000981:diagnostic imaging*; D014463:Ultrasonography / Q000379:methods*
keywords: Computer-aided diagnosis; Rotator cuff lesions; Shoulder ultrasound; Texture