Percentage fat fraction in magnetic resonance imaging: upgrading the osteoporosis-detecting parameter

Author:

Chang Rong,Ma Xiaowen,Jiang Yonghong,Huang Dageng,Chen Xiujin,Zhang Ming,Hao Dingjun

Abstract

Abstract Background Osteoporosis (OP) is a systemic metabolic bone disorder identified as an essential health issue worldwide. Orthopedic imaging approaches were commonly used with some limitations. Thus, our study aimed to investigate the diagnostic value of magnetic resonance spectroscopy (1-H MRS) and m-Dixon-Quant in OP. Methods A total of 76 subjects were enrolled in the study and bone mineral density (BMD) was measured using quantitative computed tomography (QCT). Then, the subjects were divided into three groups according to BMD: normal control group, osteopenia group and OP group. The following parameters were recorded for each patient: gender, age, height, body weight, waist circumference, and hip circumference. Further, the fat fraction percentage (FF%) values were determined by 1-H MRS and m-Dixon-Quant methods. Results In both 1-H MRS and magnetic resonance Imaging (MRI) m-Dixon-Quant, the FF% exhibited a negative correlation with BMD (P < 0.05). The FF% value of the OP group was significantly higher than that of the control group (P < 0.05). In addition, the FF% value in the m-Dixon scans was positively related to age, while BMD showed a negative linear relationship with age (P < 0.0001). Further, females had a significantly higher FF% value compared to males (P < 0.01), and height was correlated with BMD (P < 0.05) but not with FF% (P > 0.05). Conclusions MRI investigations especially FF% value in the m-Dixon-Quant imaging system is correlated with OP. Its diagnostic value remains to be demonstrated on a large prospective cohort of patients. Besides, parameters such as age, gender, and height are important factors for predicting and diagnosing OP.

Funder

Development Center for Medical Science and Technology National Natural Science Foundation of China

Natural Science Foundation for Shaanxi of China

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging

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