AI Article Synopsis
- The study explores MRI features and demographic traits tied to small malignant soft tissue tumors, aiming to find ways to distinguish between benign and malignant types based on these characteristics.
- Researchers analyzed data from 221 patients who underwent surgical excision and MRI, focusing on seven specific MRI findings and two demographic factors (age and sex) to identify predictors of malignancy.
- Results indicate that peritumoral enhancement on MRI and being over 46 years old are strong independent predictors of malignancy, achieving a prediction accuracy of 75.1% when combined.
Article Abstract
Background: Although a substantial proportion of small soft tissue tumors are malignant, magnetic resonance imaging (MRI) features and demographic characteristics associated with these tumors have not been well described.
Purpose: To investigate the MRI features and demographic characteristics associated with small (≤5 cm) malignant soft tissue tumors, and to identify independent predictors that allow differentiation of small benign and malignant soft tissue tumors.
Material And Methods: This retrospective study evaluated patients who underwent surgical excision of small soft tissue tumors of the extremities and superficial trunk, and preoperative contrast-enhanced MRI. Seven MRI findings (tumor depth, tumor-fascia relationship, heterogeneity of signal intensity, necrosis, peritumoral edema, peritumoral enhancement, and margin) and two demographic parameters (age and sex) were included in univariate and multivariate logistic regression analyses to identify independent predictors of small malignant soft tissue tumors.
Results: A total of 221 patients (102 men; mean age=45.6 ± 17.6 years) with 72 malignant and 149 benign tumors were included. In the univariate analysis, peritumoral edema (odds ratio [OR] = 3.854; < 0.001) and peritumoral enhancement (OR = 3.966; < 0.001) and patient age (≥46 years) (OR = 2.154; = 0.009) were significantly associated with malignancy. Multivariate analysis showed that peritumoral enhancement on MRI (OR = 3.728; < 0.001) and patient age (≥46 years) (OR = 1.907; = 0.036) were independent predictors of malignancy. The combination of these two parameters showed accuracy of 75.1%, sensitivity of 55.6%, and specificity of 84.6% to predict malignancy.
Conclusion: Among several MRI and demographic features, the presence of peritumoral enhancement on MRI and patient age (≥46 years) were independent predictors of malignancy in small soft tissue tumors.
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| http://dx.doi.org/10.1177/02841851221143656 | DOI Listing |
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