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Abstract #3187

A Novel Hybrid Score Integrating Clinical and MR Features to Predict Lumbar Vertebral Osteoporosis in  Female

Shao-Chieh Lin1, Chun-Jung Juan2, Yi-Jui Liu3, Chun-Wen Chen4, Chien-Yuan Wang5, Wu-Chung Shen6, Der-Yang Cho7, and Kai-Yuan Cheng8
1Ph.D. program in Electrical and Communication Engineering, Feng Chia University, Taichung, Taiwan, 2Department of Medical Imaging, China Medical University Hsinchu Hospital, Hsinchu, Taiwan, 3Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, 4Department of Radiology, Taichung Armed Forces General Hospital, Taichung, Taiwan, 5Department of Orthopedics, China Medical University Hsinchu Hospital, Hsinchu, Taiwan, 6Department of Medical Imaging, China Medical University Hospital, Taichung, Taiwan, 7Department of Neurosurgery, China Medical University Hospital, Taichung, Taiwan, 8Department of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Taichung, Taiwan

Lumbar vertebral osteoporosis (LvOPO) in women is clinically important. It is affected by mixed causes, including but not limited to the aging, lumbar vertebral fat fraction (LvFF), and estrogen. In the current study, the LvOPO in women was diagnosed by a newly proposed hybrid scoring system, i.e., the LvOPO score (LvOPOS). By integrating the independent predictors including age, LvFF, and menopause-MR interval (MMI), the LvOPOS achieved an AUC higher than the LvFF (0.802), age (0.794), and MMI (0.788). Our results provide a new insight in diagnosing the LvOPO specific to women with relevant to both clinical and MR features.

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