Can MR imaging be used to predict tumor grade in soft-tissue sarcoma?

Area of Science:

• Radiology
• Oncology
• Medical Imaging

Background:

• Soft-tissue sarcomas (STS) are a diverse group of malignant tumors.
• Accurate grading of STS is crucial for treatment planning and prognosis.
• Differentiating high-grade from low-grade STS pre-treatment can be challenging.

Purpose of the Study:

• To identify magnetic resonance (MR) imaging features that distinguish high-grade from low-grade soft-tissue sarcoma (STS).
• To evaluate the diagnostic accuracy of specific MR imaging characteristics.

Main Methods:

• Retrospective analysis of MR imaging (T1-weighted, T2-weighted, contrast-enhanced) in 95 patients with STS.
• Histologic tumor grade (1-3) was correlated with MR imaging features by two independent observers.
• Multivariate logistic regression was used to identify independent predictors of high-grade STS.

Main Results:

• High-grade STS (grades 2-3) were larger (>5 cm) and had less defined margins compared to low-grade STS (grade 1).
• Heterogeneous signal intensity on T2-weighted images and peritumoral changes (high signal intensity, enhancement) were more common in high-grade STS.
• Peritumoral contrast enhancement was the strongest independent predictor of high-grade STS (odds ratio, 13.6).

Conclusions:

• Several MR imaging features can aid in differentiating high-grade from low-grade STS.
• Peritumoral contrast enhancement on MR imaging is a highly reliable indicator for diagnosing high-grade STS.