A multiparametric analysis combining DCE-MRI- and IVIM -derived parameters to improve differentiation of parotid tumors: a pilot study

Francesca Patella, Giuseppe Franceschelli, Mario Petrillo, Mario Sansone, Roberta Fusco, Filippo Pesapane, Giovanni Pompili, Anna Maria Ierardi, Alberto Maria Saibene, Laura Moneghini, Federico Biglioli, Gianpaolo Carrafiello

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
JournalFuture Oncology
DOIs
Publication statusPublished - 2018

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    Patella, F., Franceschelli, G., Petrillo, M., Sansone, M., Fusco, R., Pesapane, F., Pompili, G., Ierardi, A. M., Saibene, A. M., Moneghini, L., Biglioli, F., & Carrafiello, G. (2018). A multiparametric analysis combining DCE-MRI- and IVIM -derived parameters to improve differentiation of parotid tumors: a pilot study. Future Oncology. https://doi.org/10.2217/fon-2017-0655