الفهرس | Only 14 pages are availabe for public view |
Abstract Bone tumors represent a wide spectrum of disease in children & adult ranging from benign lesions to an aggressive malignancy, so finding a noninvasive diagnostic tool was needed. We aimed to differentiate between benign and malignant bone lesions and to limits the number of patient with benign lesion who undergo biopsy. Our study was carried out on 30 patients were diagnosed with bone tumors (19 benign &11 malignant). They were assessed with conventional & diffusion MR images, DW EPI carried out using different b values including 0 s/ mm², 500 s/ mm², and 1000 s/ mm². ADC map were automatically calculated. The mean ADC value for benign tumors was 1.96 x 10 -3 mm2/s. while malignant tumors were 1.04 x 10 -3 mm2/s. ROC analysis was used to define the best cut off mean ADC value for detecting malignancy which was <1.18, with sensitivity of 81.8% specificity of 84.2%. Conclusion: In conclusion, we prove high specificity and sensitivity of DWI as a complementary sequence with conventical MRI and ADC value measurements in discrimination between benign and malignant bone tumors with significant cut-off value, making it a noninvasive tool for increasing the accuracy in identifying bone lesions. However, further studies with larger patient groups are needed to find an optimal cut‑off ADC value for differentiation between begin and malignant bone tumors. |