Interpretable rotator cuff tear diagnosis using MRI slides with CAMscore and SHAP

Ho-min Park; Ilho Yun; Mijung Kim; Khoa Tuan Nguyen; Arnout Van Messem; Wesley De Neve

doi:10.1117/12.3000229

3 April 2024 Interpretable rotator cuff tear diagnosis using MRI slides with CAMscore and SHAP

Ho-min Park, Ilho Yun, Mijung Kim, Khoa Tuan Nguyen, Arnout Van Messem, Wesley De Neve

Proceedings Volume 12927, Medical Imaging 2024: Computer-Aided Diagnosis; 129272V (2024) https://doi.org/10.1117/12.3000229
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

Rotator Cuff Tears (RCTs) are primarily age-related musculoskeletal disorders affecting the shoulder region. In this paper, we present a research effort that aims to construct a Computer-Aided Diagnosis (CAD) model for RCTs. The model utilizes three-plane MRI slides coupled with diagnostic outcomes. To enhance model interpretability, we employed MRNet, conducting training on each anatomical plane, and subsequently merged the results using logistic regression. At the individual plane level and the fusion level, we applied Grad-CAM and SHapley Additive exPlanations (SHAP), respectively. Additionally, we introduce CAMscore, a method using Grad-CAM, designed to quantitatively determine the diagnostic relevance of individual MRI slides. When fusing the three planes, we achieved a maximum F1-score of 0.9508. Additionally, we observed a notably higher diagnostic efficacy in the sagittal plane compared to the axial and coronal planes. However, our study has certain limitations, including the need for greater dataset diversity and the necessity for verification by medical professionals. Nevertheless, our study advances the field of CAD by improving the understanding of the decision-making processes of models utilizing three-plane fusion.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ho-min Park, Ilho Yun, Mijung Kim, Khoa Tuan Nguyen, Arnout Van Messem, and Wesley De Neve "Interpretable rotator cuff tear diagnosis using MRI slides with CAMscore and SHAP", Proc. SPIE 12927, Medical Imaging 2024: Computer-Aided Diagnosis, 129272V (3 April 2024); https://doi.org/10.1117/12.3000229

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available