Purpose: To correlate radiologic imaging diagnosis with histopathology in cases with soft tissue musculoskeletal lesions. Before ultrasound (US)-guided core needle biopsy, radiologic imaging diagnosis was done using multimodality imaging. Correlation of histopathologic Method: diagnoses after biopsy and surgical specimen was done. Prospectively, 100 consecutive patients (53 males, 47 females, median age 51 years) with a musculoskeletal soft tissue mass underwent US, computed tomography (CT) and magnetic resonance (MRI). US-guided core needle biopsy was done in all patients. Fifteen MRI parameters and corresponding parameters on US and CT were evaluated for making a radiologic diagnosis. Multivariate logistic regression analysis was used for imaging parameters predictive for malignancy. Histopathologies after biopsy were correlated with radiologic diagnosis in all patients Results: There were and with the surgical specimen in 92% of the cases. 70 benign lesions (53 benign tumors and 17 tumor-like lesions) and 30 malignant lesions(26 malignant tumors and 4 metastases). The overall imaging accuracy for benign and malignant tumors was 92%. Nine cases (9%) were false-positive (4 benign tumors, 1 tumor-like lesion and 4metastases) and 2 (2%) were false-negative. The correlation between imaging staging and histopathology was 63.6% for malignant tumors. MRI had the highest diagnostic accuracy (89%) compared with US (78%) and CT (83%). A diagnostic imaging algorithm was created. Histopathology after Conclusion: A combination biopsy correlated in all surgical specimens. of individual multimodality imaging parameters improved radiologic imaging diagnosis in differentiation between benign and malignant soft tissue musculoskeletal lesions. US-guided core needle biopsy is recommended as the procedure of choice for obtaining representative specimens of soft tissue musculoskeletal tumors for histological examination because of its high diagnostic accuracy and low complication rate.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.