Establishment and validation of a Nomogram Clinical prediction model for osteoporosis based on magnetic resonance Q-Dixon and MT techniques

Motivation: More research has confirmed the important role of new MRI techniques in early screening and efficacy evaluation of osteoporosis. Goal(s): The purpose of this study is to construct a nomogram clinical prediction model for predicting osteoporosis based on Q-Dixon、MT technology and clinical dataApproach: logistic regression analysis confirmed that four risk factors (gender, age, FF value, MTR value) were significant independent predictors of osteoporosis, and the calibration curve of the nomogram had good reliability in evaluating osteoporosis in training and validation cohortsResults: The Nomogram model has more advantages in predicting osteoporosis than the FF model and MTR modelImpact: The clinical prediction model based on gender, age, FF value, and MT value nomogram has good universality and clinical benefits, is easy to promote, and helps to better screen for osteoporosis in the general elderly population, achieve early detection.