ORIGINAL RESEARCH article
Front. Med.
Sec. Precision Medicine
Diagnostic Value of Computed Tomography Plus Magnetic Resonance Imaging in Assessing the Benign and Malignant Nature of Vertebral Compression Fractures
Peng Zhao
Xianghong Meng
Man Sun
Yuqiao Zhong
Shan Zhu
Tianjin Hospital, Tianjin, China
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Abstract
Objective: To explore the diagnostic efficacy of combining computed tomography (CT) with magnetic resonance imaging (MRI) in determining whether vertebral compression fractures are benign or malignant. Methods: From January 2020 to January 2025, 150 patients with single vertebral compression fractures who were admitted to our hospital were selected as study participants. According to the pathological findings, they were divided into the benign group (76 cases) and the malignant group (74 cases). All patients underwent MRI and CT examinations. The efficacy of the combined use of these two methods and the combined detection in differentiating the nature of vertebral compression fractures was analyzed. Results: Significant differences were observed between the two groups in MRI signs such as the degree of vertebral body compression, the range of vertebral body lesions, the location of the lesions, the post-compression vertebral body morphology, pedicle morphology, the vertebral body soft tissue, the morphology and signal changes of the vertebral body veins (P<0.05). The apparent diffusion coefficient (ADC) value of the benign group was higher than that of the malignant group (P<0.01). The combined diagnosis of CT and MRI demonstrated superior accuracy, sensitivity, and specificity than the individual diagnoses of CT and MRI (P<0.05). Conclusion: The combined use of MRI and CT exhibits relatively high accuracy, sensitivity, and specificity in differentiating the nature of vertebral compression fractures, and it has a good value in the identification of fracture types.
Summary
Keywords
Apparent diffusion coefficient, computed tomography, diagnosis, Magnetic Resonance Imaging, Vertebral compression fractures
Received
29 January 2026
Accepted
09 February 2026
Copyright
© 2026 Zhao, Meng, Sun, Zhong and Zhu. 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: Shan Zhu
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