@article{oai:repository.lib.tottori-u.ac.jp:00007266,
 author = {高田, 知朗 and Takata, Tomoaki and Yamada, Kentaro and 磯本, 一 and Isomoto, Hajime and Motoe, Aki and Tanida, Katsumi and Taniguchi, Sosuke and Ida, Ayami and Yamada, Kentaro and Hamada, Shintaro and Ogawa, Masaya and Yamamoto, Marie and Mae, Yukari and Iyama, Takuji and Taniguchi, Munehiro and Nakaoka, Akihisa},
 journal = {JOURNAL OF NEPHROLOGY, JOURNAL OF NEPHROLOGY},
 month = {Sep},
 note = {[Background] Sarcopenia is a major health issue especially in patients on maintenance hemodialysis. Low skeletal muscle mass is included in the diagnostic criteria for sarcopenia. The skeletal muscle mass is usually evaluated by modalities such as bioimpedance analysis (BIA) or dual-energy X-ray absorptiometry, however the assessment of skeletal muscle mass using computed tomography (CT) images has not been established. The purpose of the study was to investigate the feasibility of the assessment of skeletal muscle mass using CT images in hemodialysis patients. [Methods] Skeletal muscle mass index (SMI) was measured by BIA and psoas muscle index (PMI) was measured by cross-sectional CT images in 131 patients. The relationship between SMI and PMI and the diagnostic ability of PMI for low muscle mass were evaluated. Furthermore, the patients were followed up and long-term survival in patients with low and high PMI were compared. [Results] PMI measured at the L3 vertebral level was strongly correlated with SMI (r = 0.597, p < 0.001). Age, sex, and SMI were the influencing factors for PMI. Patients with low PMI showed higher incidence rates of mortality during the follow up. [Conclusions] PMI assessed by CT image can be an alternative to BIA in patients on hemodialysis.},
 title = {Feasibility of computed tomography-based assessment of skeletal muscle mass in hemodialysis patients},
 year = {2020},
 yomi = {タカタ, トモアキ and タニグチ, ソウスケ and ヤマダ, ケンタロウ and イソモト, ハジメ and タニグチ, ソウスケ and ヤマダ, ケンタロウ}
}