Objective:To explore the diagnostic value of magnetic resonance imaging (MRI) Q-Dixon fat quantification technique in differentiating vertebral metastases from hemangiomas in cancer patients.Methods:A retrospective analysis was conducted on 20 patients with vertebral metastases and 8 with vertebral hemangiomas who underwent vertebral MRI scans at the National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College from December 2021 to December 2023. Two radiologists independently measured the fat fractions (FF) in three areas (the lesion area, the normal area of the same vertebra, and the normal area of an adjacent vertebra) and evaluated the consistency of measurements. Group differences were tested using independent sample t-tests or Mann-Whitney U tests, and diagnostic performance was assessed by plotting the receiver operating characteristic (ROC) curve and calculating the area under the curve (AUC). Results:There was very high inter-observer consistency in the FF measurements across the three regions. The FF in the lesion areas of vertebral metastases group was significantly lower than that in the vertebral hemangioma group (13.8 ± 11.5 vs. 56.5 ± 22.1), there was statistical difference ( P<0.01). There were no significant differences in the FF of normal vertebral areas between the two groups ( P>0.05). ROC curve analysis showed that FF could differentiate vertebral metastases from hemangiomas with an AUC of 0.931, a specificity of 90%, and a sensitivity of 87.5%. Conclusions:The FF measured by the Q-Dixon quantitative fat technique can accurately differentiate between vertebral hemangiomas and vertebral metastases, providing more precise guidance for the diagnosis of vertebral lesions.