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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