|Title:||Computer-Aided Diagnosis of Different Rotator Cuff Lesions Using Shoulder Musculoskeletal Ultrasound||Authors:||Chang, R.-F.
|Keywords:||Computer-aided diagnosis; Rotator cuff lesions; Shoulder ultrasound; Texture||Issue Date:||2016||Journal Volume:||42||Journal Issue:||9||Start page/Pages:||2315-2322||Source:||Ultrasound in Medicine and Biology||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. ? 2016 World Federation for Ultrasound in Medicine & Biology
|URI:||https://scholars.lib.ntu.edu.tw/handle/123456789/489582||DOI:||10.1016/j.ultrasmedbio.2016.05.016||metadata.dc.subject.other:||Pathology; Textures; Ultrasonic applications; Clinical examination; Computer Aided Diagnosis(CAD); Diagnostic accuracy; Diagnostic performance; Lesion classification; Multinomial logistic regression; Rotator cuff; Ultrasound examination; Computer aided diagnosis; adult; aged; Article; calcific tendinitis; cluster prominence; cluster shade; computer assisted diagnosis; diagnostic accuracy; diagnostic test accuracy study; disease classification; echography; female; Haralick correlation; human; inflammation; lesion area; local homogeneity; major clinical study; male; musculoskeletal system parameters; priority journal; radiological parameters; reliability; rotator cuff injury; rotator cuff rupture; shoulder musculoskeletal ultrasound; tendinitis; arthropathy; computer assisted diagnosis; diagnostic imaging; echography; inflammation; middle aged; procedures; reproducibility; rotator cuff; rotator cuff injury; tendinitis; very elderly; Adult; Aged; Aged, 80 and over; Diagnosis, Computer-Assisted; Female; Humans; Inflammation; Joint Diseases; Male; Middle Aged; Reproducibility of Results; Rotator Cuff; Rotator Cuff Injuries; Tendinopathy; Ultrasonography
|Appears in Collections:||資訊工程學系|
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