Predicting Lumbar Vertebral Osteopenia Using LvOPI Scores and Logistic Regression Models in an Exploratory Study of Premenopausal Taiwanese Women
العنوان: | Predicting Lumbar Vertebral Osteopenia Using LvOPI Scores and Logistic Regression Models in an Exploratory Study of Premenopausal Taiwanese Women |
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المؤلفون: | Chun-Wen Chen, Yi-Jui Liu, Shao-Chieh Lin, Chien-Yuan Wang, Wu-Chung Shen, Der-Yang Cho, Tung-Yang Lee, Cheng-Hsuan Juan, Cheng-En Juan, Kai-Yuan Cheng, Chun-Jung Juan |
المصدر: | Journal of Medical and Biological Engineering. 42:722-733 |
بيانات النشر: | Springer Science and Business Media LLC, 2022. |
سنة النشر: | 2022 |
مصطلحات موضوعية: | Biomedical Engineering, General Medicine |
الوصف: | Purpose To propose hybrid predicting models integrating clinical and magnetic resonance imaging (MRI) features to diagnose lumbar vertebral osteopenia (LvOPI) in premenopausal women. Methods This prospective study enrolled 101 Taiwanese women, including 53 before and 48 women after menopause. Clinical information, including age, body height, body weight and body mass index (BMI), were recorded. Bone mineral density (BMD) was measured by the dual-energy X-ray absorptiometry. Lumbar vertebral fat fraction (LvFF) was measured by MRI. LvOPI scores (LvOPISs) comprising different clinical features and LvFF were constructed to diagnose LvOPI. Statistical analyses included normality tests, linear regression analyses, logistic regression analyses, group comparisons, and diagnostic performance. A P value less than 0.05 was considered as statistically significant. Results The post-menopausal women had higher age, body weight, BMI, LvFF and lower BMD than the pre-menopausal women (all P P P P = 0.0566), BMI (0.737; P P P P Conclusion The diagnostic accuracy of the LvOPI can be improved by using our proposed hybrid predicting models in Taiwanese premenopausal women. |
تدمد: | 2199-4757 1609-0985 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::5680079711c3161cbe4078cf4cf81188 https://doi.org/10.1007/s40846-022-00746-z |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi...........5680079711c3161cbe4078cf4cf81188 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 21994757 16090985 |
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