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Yu-San Liao
Chang Gung University of Science and Technology
Lean body massEndometrial cancerUterine cancerBioelectrical impedance analysisMedicine
2Publications
1H-index
5Citations
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Publications 2
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#1Li-Wen Lee (CGUST: Chang Gung University of Science and Technology)H-Index: 2
#2Chu-Jung Hsieh (Memorial Hospital of South Bend)H-Index: 1
Last. Yu-San Liao (CGUST: Chang Gung University of Science and Technology)H-Index: 1
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Background The new generation of dual energy X-ray absorptiometry (DXA) scanners provide visceral adipose tissue (VAT) estimates by applying different algorithms to the conventional DXA-derived fat parameters such as total fat, trunk fat and android fat for the same image data. Objective This cross-sectional study aimed to investigate whether VAT estimates from Hologic scanners are better predictors of VAT than conventional DXA parameters in pre-pubertal children, and to explore the discriminati...
Source
#1Chia-Ni Lin (Memorial Hospital of South Bend)H-Index: 3
#2Yu-San Liao (CCU: National Chung Cheng University)H-Index: 1
Last. Li-Wen Lee (CGUST: Chang Gung University of Science and Technology)H-Index: 1
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Background Myometrial smooth muscle is normally within the field of view for the gynecological imaging. This study aimed to investigate the use of normal myometrium as an internal reference for endometrial and cervical cancer during multiphase contrast-enhanced magnetic resonance imaging (MCE-MRI) and to explore whether this information regarding tumor enhancement relative to the myometrium could be used to discriminate between endometrial and cervical cancer. Methods MRI images, before and afte...
4 CitationsSource
1