A multimedia system for decision support in neurological classification of pain in spinal cord injury patients

Sneha K. Verma; Sophia Chun; Brent J. Liu

doi:10.1117/12.2007721

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29 March 2013 A multimedia system for decision support in neurological classification of pain in spinal cord injury patients

Sneha K. Verma, Sophia Chun, Brent J. Liu

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Proceedings Volume 8674, Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 867409 (2013) https://doi.org/10.1117/12.2007721
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Pain is a common complication after spinal cord injury which highly affects the patient lifestyle and well-being. For better treatment, accurate classification of pain becomes very important, which directly depends on the information provided by patients to the physicians. Currently, with the limited knowledge about the pain related information, patients end up taking medications which are not suitable or required. At Loma Linda Proton Treatment and Research Center, technical advances are being made, to treat functional disorders of spinal portion of the central nervous system using radio surgery. This paper presents overall workflow design for the project. Also in this paper, we are introducing a web based pain classifier tool that allows a patient to select multiple pain locations and group them according to the pain properties, such as severity of pain, location of pain, occurrences of the pain etc. This computer-aided pain classifier tool can be integrated with medical imaging so that if physicians want to compare pain information provided by patients with imaging data, they can do it all at the same time. Pain classifier application described here, is going to be a major component for patient recruitment in phase 0 of the study.

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Sneha K. Verma, Sophia Chun, and Brent J. Liu "A multimedia system for decision support in neurological classification of pain in spinal cord injury patients", Proc. SPIE 8674, Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 867409 (29 March 2013); https://doi.org/10.1117/12.2007721

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