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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Bone Research

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1591044

The q-Dixon sequence for MRI predicts osteoporotic vertebral compression fractures

Provisionally accepted
Jing  ZhangJing ZhangQiyuan  LiQiyuan LiYao  WangYao WangSun  LiSun LiQingyuan  ZhangQingyuan ZhangChuanping  GaoChuanping Gao*
  • Department of Radiology, Affiliated Hospital of Qingdao University, Qingdao, China

The final, formatted version of the article will be published soon.

Objectives To evaluate whether q-Dixon sequence-based fat fraction (FF) values of the lumbar spine can predict osteoporotic vertebral compression fracture (OVCF) risk in elderly osteoporosis patients.Thirty OVCF patients and 15 osteoporosis patients were enrolled. Areas of interest (ROIs) were manually drawn using the post-processing workstation, and FF values of the patient's L1-L4 vertebrae (except the fractured vertebrae) were measured. The Pearson correlation test was used to analyze the correlation between the average lumbar spine FF value and bone mineral density (BMD). The receiver operating characteristic curve (ROC) and area under the curve (AUC) were used to evaluate the prediction efficiency of the FF values and to determine the best cut-off value for prediction.The average lumbar spine FF value and the FF values of the L1-L4 vertebrae in the fracture group were significantly higher than those in the non-fracture group, and there was no significant difference in BMD between the two groups. ROC analysis showed that the AUC of the average lumbar spine FF value was 0.822, with sensitivity = 73.3%, specificity = 86.7%, and cut-off value = 57.27%. Among the L1-L4 vertebrae, the FF value of L2 vertebrae had the highest AUC of 0.870, and the cutoff value was 56.62%.The FF values of the lumbar spine measured by the q-Dixon sequence can help predict OVCF risk and provide complementary information to BMD measurements. The FF value of L2 vertebrae has the best prediction efficiency.However, these findings should be interpreted with caution given the relatively small sample size (n=45) and manual ROI segmentation method used in this study

Keywords: Magnetic Resonance Imaging, Osteoporosis, Vertebral compression fracture, Fat fraction Abbreviations AUC: Area under the curve, BMD: Bone Mineral Density, Dixon: Chemical shiftencoding water-fat imaging, DXA: Dual energy X-ray absorptiometry, FF: fat fraction

Received: 20 Mar 2025; Accepted: 01 Aug 2025.

Copyright: © 2025 Zhang, Li, Wang, Li, Zhang and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Chuanping Gao, Department of Radiology, Affiliated Hospital of Qingdao University, Qingdao, China

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