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Dynamic contrast enhanced MRI in the differential diagnosis of soft tissue tumors
Nermin Tuncbilek1, Hakki Muammer Karakas, Ozerk Omur Okten
1Department of Radiology, School of Medicine, Trakya University, 22030 Edirne, Turkey. utopal@uludag.edu.tr
Purpose:
The value of the dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) in differentiating benign and malignant soft tissue tumors was investigated.
Materials And Methods:
Turbo FLASH DCE-MRI was performed on 22 subjects (2-74 years) with soft tissue tumors. Enhancement in the first min (E(max/1)), second min (E(max/2)) and maximum peak enhancement (E(max)), and steepest slope were calculated. Discriminant analyses were performed to reveal parametric differences of benign and malignant lesions.
Results:
Diagnosis of benign (N = 10) tumors were hemangioma (n = 3), neurogenic tumor (n = 3) lipoma (n = 2), giant cell tumor (n = 1) and desmoid (n = 1), whereas malignant lesions (N = 12) were classified as liposarcoma (n = 5), malignant fibrous histiocytoma (n = 5) and synovial sarcoma (n = 2). For malignant lesions E(max/1) was 65-198%, E(max/2) was 65-145%, E(max) was 78-198%, and steepest slope was 1.45-4.06. For benign lesions these values were 4-98%, 5-105%, 7-125% and 0.67-2.57, respectively. To determine the relation between the variables analysed, Pearson correlation coefficients were calculated. E(max) was found to be highly correlated with other variables (rxy > 0.86, P < 0.0001). Consequently, this variable was excluded from the discriminant analysis. In order to determine discrimination of malignant and benign tumors using E(max/1), E(max/2,) and steepest slope of the enhancement curve logistic regression was applied to the above mentioned data. When combined these parameters had a 95.5% of overall accuracy in classifying benign and malignant lesions (P = 0.004).
Conclusion:
DCE-MRI parameters that thought to be the surrogate markers of tumoral microcirculation and tissue perfusion provides a specific preoperative diagnosis. Dynamic imaging parameters are therefore advocated for monitoring the effect of chemotherapy in soft tissue tumors.
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