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Abstract
Objective: To evaluate the value of diffusion-weighted magnetic resonance imaging in differentiating between benign and malignant soft tissue tumors in the musculoskeletal region, focusing on tumors of fibrous, neural, and muscular tissue.
Methods: A cross-sectional descriptive study was conducted involving 67 patients with soft tissue tumors who had corresponding pathological anatomy results. These patients underwent diffusion-weighted magnetic resonance imaging at the Ho Chi Minh City Oncology Hospital from January 2022 to June 2024. The apparent diffusion coefficient (ADC) values of the solid components in the lesions were measured using DWI/ADC at b values of 0 and 1000.
Results: The study included 67 patients (33 males and 34 females), with 34 benign lesions and 33 malignant lesions. The average ADC value based on the region of interest (ROI) in the solid component of malignant soft tissue tumors was statistically significantly lower than that of benign soft tissue tumors, with p < 0.0001. Based on the ROC curve and the calculation of the maximum Youden index, the optimal cutoff point was determined to be 1,112 x 10^-3 mm²/s for diagnosis, with an ADC < 1,112 x 10^-3 mm²/s indicating malignancy with a sensitivity of 85,29%, specificity of 90,91%, positive predictive value of 83,33%, negative predictive value of 93,55%, and overall accuracy of 88,06%.
Conclusion: Diffusion-weighted magnetic resonance imaging with average ADC values based on the ROI in the solid components of lesions is valuable for differentiating between benign and malignant soft tissue tumors.
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| Published | 28-12-2024 | |
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| Issue | Vol. 16 No. 9 (2024) | |
| Section | Original article | |
| DOI | 10.38103/jcmhch.16.9.9 | |
| Keywords | U mô mềm cơ xương khớp, cộng hưởng từ khuếch tán, chẩn đoán phân biệt Musculoskeletal soft tissue tumours, diffusion magnetic resonance imaging, differential diagnosis |
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