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Abstract #3656

Development of a quantification software for body composition imaging and its assessment in the patient with sarcopenia

SeungJin Kim1, Min-Gi Pak1, Tae-Hoon Kim2, Chang-Won Jeong2, and Kwon-Ha Yoon2,3
1Medical Science, Wonkwang University, Iksan, Republic of Korea, 2Medical Convergence Research Center, Wonkwang University, Iksan, Republic of Korea, 3Radiology, Wonkwang University, Iksan, Republic of Korea

In 2016, sarcopenia has been classified by the international classification of diseases(ICD-10-CM), with the code(M62.84). The role of imaging techniques has rapidly increased in the field of sarcopenia. In the past decade, the importance of muscle and fat mass has been emphasized on imaging evaluation of body composition including of muscle and body fat such as visceral fat or subcutaneous fat. However, there are diverse quantification methods for assessing muscle and fat mass by imaging and thus, these methods must be standardized. This study developed a customized quantification software based on ImageJ-platform and evaluated in the patient with sarcopenia.

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