Amine El Kandoussi, Steven J Staffa, Emre Ömeroğlu, Yin P Hung, Fabian Bauer, Santiago Lozano-Calderon, Connie Y Chang
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引用次数: 0
Abstract
Objective: To determine the utility of a triangular margin as an imaging diagnostic feature for fibrous dysplasia.
Materials and methods: We retrospectively reviewed all surgically biopsied or managed benign and malignant bone tumors by a single orthopedic oncologist over 19 years (2003 to 2022). A musculoskeletal radiologist and an orthopedic oncologist, both with >10 years of experience, retrospectively evaluated all imaging in consensus. Groups were compared using the χ2 test.
Results: There were a total of 152 subjects [mean age 49±21 (range 7.8 to 91) years]; 80 (53%) females and 72 (47%) males. There were 52 subjects with fibrous dysplasia, 31 subjects with other benign bone tumors, and 69 subjects with malignant bone tumors. The sensitivity and specificity of a triangular margin for distinguishing fibrous dysplasia from other benign or malignant bone tumors were 74% and 96% on radiographs, 73% and 100% on CT, and 78% and 91% on MRI, respectively. The triangular margin was more prevalent in fibrous dysplasia (85%) versus benign (16%) and malignant (1.6%) primary bone tumors in all 3 modalities (P<0.001). Multivariate analysis of the aggregated imaging data suggests that if a lesion has a triangular margin, it is 14 times more likely to be a fibrous dysplasia than another benign bone tumor (P=0.012).
Conclusions: The presence of a triangular margin could increase a radiologist's confidence that a bone tumor is fibrous dysplasia.
期刊介绍:
The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).