Deep learning–based fully automated body composition analysis of thigh CT: comparison with DXA measurement
Author:
Funder
Korean government
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-022-08770-y.pdf
Reference34 articles.
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3. Lee K, Shin Y, Huh J et al (2019) Recent issues on body composition imaging for sarcopenia evaluation. Korean J Radiol 20:205–217
4. Boutin RD, Yao L, Canter RJ, Lenchik L (2015) Sarcopenia: current concepts and imaging implications. AJR Am J Roentgenol 205:W255–W266
5. Ruhdorfer A, Wirth W, Eckstein F (2015) Relationship between isometric thigh muscle strength and minimum clinically important differences in knee function in osteoarthritis: data from the osteoarthritis initiative. Arthritis Care Res 67:509–518
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