Automated Knee Osteoarthritis Assessment Increases Physicians’ Agreement Rate and Accuracy: Data from the Osteoarthritis Initiative
| Autor: | Dietmar Maurer, Stefan Nehrer, Tiago Paixao, Zsolt Bertalan, D. Ljuhar, R. Ljuhar, Peter Steindl, Christoph Goetz, H. P. Dimai, Rene Simon |
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| Rok vydání: | 2019 |
| Předmět: |
musculoskeletal diseases
Joint space narrowing medicine.medical_specialty Knee Joint Intraclass correlation Radiography Biomedical Engineering Physical Therapy Sports Therapy and Rehabilitation Osteoarthritis 03 medical and health sciences 0302 clinical medicine Physicians medicine Humans Immunology and Allergy Grading (education) Clinical Research papers 030203 arthritis & rheumatology 030222 orthopedics Modalities business.industry Osteophyte Osteoarthritis Knee medicine.disease Computer aided detection Physical therapy Computerized system business |
| Zdroj: | Cartilage |
| ISSN: | 1947-6043 1947-6035 |
| DOI: | 10.1177/1947603519888793 |
| Popis: | Objective. To assess the impact of a computerized system on physicians’ accuracy and agreement rate, as compared with unaided diagnosis. Methods. A set of 124 unilateral knee radiographs from the Osteoarthritis Initiative (OAI) study were analyzed by a computerized method with regard to Kellgren-Lawrence (KL) grade, as well as joint space narrowing, osteophytes, and sclerosis Osteoarthritis Research Society International (OARSI) grades. Physicians scored all images, with regard to osteophytes, sclerosis, joint space narrowing OARSI grades and KL grade, in 2 modalities: through a plain radiograph ( unaided) and a radiograph presented together with the report from the computer assisted detection system ( aided). Intraclass correlation between the physicians was calculated for both modalities. Furthermore, physicians’ performance was compared with the grading of the OAI study, and accuracy, sensitivity, and specificity were calculated in both modalities for each of the scored features. Results. Agreement rates for KL grade, sclerosis, and osteophyte OARSI grades, were statistically increased in the aided versus the unaided modality. Readings for joint space narrowing OARSI grade did not show a statistically difference between the 2 modalities. Readers’ accuracy and specificity for KL grade >0, KL >1, sclerosis OARSI grade >0, and osteophyte OARSI grade >0 was significantly increased in the aided modality. Reader sensitivity was high in both modalities. Conclusions. These results show that the use of an automated knee OA software increases consistency between physicians when grading radiographic features of OA. The use of the software also increased accuracy measures as compared with the OAI study, mostly through increases in specificity. |
| Databáze: | OpenAIRE |
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