Development of a web based informatics system utilizing quantitative imaging features for predicting outcomes in stroke rehabilitation clinical trials

Ximing Wang; Ji Hoon Park; Jeffrey Tse; Brent Liu

doi:10.1117/12.2218093

25 March 2016 Development of a web based informatics system utilizing quantitative imaging features for predicting outcomes in stroke rehabilitation clinical trials

Ximing Wang, Ji Hoon Park, Jeffrey Tse, Brent Liu

Author Affiliations +

Proceedings Volume 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations; 97890Y (2016) https://doi.org/10.1117/12.2218093
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Previously, we presented an ePR system to support imaging based stroke rehabilitation clinical trials. To facilitate the data analysis, we developed a generalized linear mixed effects model (GLMM) module to investigate correlation based on features extracted from textual database and imaging biomarkers. With the proposed module, the system is able to evaluate a variety of measurements including quantitative imaging features. Moreover, once an accurate GLMM model is identified from the clinical trial, the module can be used to predict outcomes for new patients based on their conditions and used as a decision support tool for optimizing the treatment plans.

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Ximing Wang, Ji Hoon Park, Jeffrey Tse, and Brent Liu "Development of a web based informatics system utilizing quantitative imaging features for predicting outcomes in stroke rehabilitation clinical trials", Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 97890Y (25 March 2016); https://doi.org/10.1117/12.2218093

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