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A multiparametric analysis combining DCE-MRI- and IVIM -derived parameters to improve differentiation of parotid
Francesca Patella1, Giuseppe Franceschelli2, Mario Petrillo2
1Postgraduation School of Radiodiagnostic of Milan, Università degli Studi di Milano, Milan, Italy.
Aim:
To evaluate dynamic contrast-enhanced (DCE)-MRI and diffusion weighted (DW)-MRI diagnostic value to differentiate Warthin tumors (WT) by pleomorphic adenomas (PA).
Materials & Methods:
Seven WT and seven PA were examined. DCE- and DW-MRI parameters were extracted from volumes of interest; volume of interest-based averages and standard deviations were calculated. Statistical analysis included: linear discriminant analysis, receiver operating characteristic curves, sensitivity and specificity.
Results:
No single feature was able to differentiate WT by PA (p > 0.05); linear discriminant analysis analysis showed that a combination of all features or combinations of feature pairs (namely: Ktrans(std) & f(std), Ktrans(std) & D(std), kep(std) & D(std), MRE(av) & TTP(av)) might achieve sensitivity (SENS), specificity (SPEC) = 100%, with a slight reduction after cross-validation analysis (SENS = 0.875; SPEC = 1).
Conclusion:
Although preliminary and not conclusive, our results suggest that differentiation between WT and PA is possible through a multiparametric approach based on combination of DCE- and DW-MRI parameters.
Insights
Combining dynamic contrast-enhanced (DCE)-MRI and diffusion-weighted (DW)-MRI parameters can differentiate Warthin tumors (WT) from pleomorphic adenomas (PA). A multiparametric approach shows high diagnostic accuracy for distinguishing these salivary gland tumors.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Salivary gland tumors, including Warthin tumors (WT) and pleomorphic adenomas (PA), require accurate differentiation for appropriate clinical management.
- Distinguishing between WT and PA using conventional imaging can be challenging.
Purpose of the Study:
- To assess the diagnostic efficacy of dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DW-MRI) in differentiating WT from PA.
- To explore the combined utility of multiparametric MRI features for improved diagnostic accuracy.
Main Methods:
- Seven WT and seven PA were analyzed using DCE-MRI and DW-MRI.
- Key MRI parameters (e.g., Ktrans, Kep, D, MRE, TTP) were extracted and statistically analyzed.
- Linear discriminant analysis and receiver operating characteristic (ROC) curves were employed to evaluate diagnostic performance.
Main Results:
- No single MRI feature reliably differentiated WT from PA (p > 0.05).
- Linear discriminant analysis indicated that combinations of DCE- and DW-MRI parameters achieved 100% sensitivity and specificity.
- Cross-validation analysis demonstrated robust performance with sensitivity of 0.875 and specificity of 1.
Conclusions:
- A multiparametric MRI approach combining DCE- and DW-MRI parameters shows promise for differentiating WT from PA.
- While preliminary, these findings suggest that integrated MRI analysis can improve the diagnostic accuracy for these common salivary gland tumors.
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