Quantification of heterogeneity to classify benign parotid tumors: A feasibility study on most frequent histotypes

Francesca Patella, Mario Sansone, Giuseppe Franceschelli, Laura Tofanelli, Mario Petrillo, Massimo Fusco, Gabriele Maria Nicolino, Giorgio Buccimazza, Roberta Fusco, Vissagan Gopalakrishnan, Filippo Pesapane, Federico Biglioli, Maurizio Cariati

Research output: Contribution to journalArticlepeer-review

Abstract

Aim: To differentiate Warthin tumors (WTs) and pleomorphic adenomas (PAs) measuring heterogeneity of intravoxel incoherent motion (IVIM) and dynamic-contrast enhanced-magnetic resonance imaging biomarkers. Methods: Volumes of interest were traced on 18 WT and 18 PA in 25 patients. For each IVIM and dynamic-contrast enhanced biomarker, histogram parameters were calculated and then compared using the Wilcoxon-signed-rank test. Receiver operating characteristic curves and multivariate analysis were employed to identify the parameters and their pairs with the best accuracy. Results: Most of the biomarkers exhibited significant difference (p < 0.05) between PA and WT for histogram parameters. Time to peak median and skewness, and D∗ median and entropy showed the highest area under the curve. No meaningful improvement of accuracy was obtained using two features. Conclusion: IVIM and dynamic-contrast enhanced histogram descriptors may help in the classification of WT and PA.

Original languageEnglish
Pages (from-to)763-778
Number of pages16
JournalFuture Oncology
Volume16
Issue number12
DOIs
Publication statusPublished - Apr 2020

Keywords

  • DCE-MRI
  • DW-MRI
  • histogram
  • intravoxel incoherent motion
  • magnetic resonance
  • parotid tumors
  • pleomorphic adenoma
  • volume of interest
  • Warthin tumor

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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