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

doi:10.2217/fon-2019-0736

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

Istituto Nazionale Tumori Fondazione G. Pascale

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	763-778
Number of pages	16
Journal	Future Oncology
Volume	16
Issue number	12
DOIs	https://doi.org/10.2217/fon-2019-0736
Publication status	Published - 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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10.2217/fon-2019-0736

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Patella, F., Sansone, M., Franceschelli, G., Tofanelli, L., Petrillo, M., Fusco, M., Nicolino, G. M., Buccimazza, G., Fusco, R., Gopalakrishnan, V., Pesapane, F., Biglioli, F., & Cariati, M. (2020). Quantification of heterogeneity to classify benign parotid tumors: A feasibility study on most frequent histotypes. Future Oncology, 16(12), 763-778. https://doi.org/10.2217/fon-2019-0736

Patella, F, Sansone, M, Franceschelli, G, Tofanelli, L, Petrillo, M, Fusco, M, Nicolino, GM, Buccimazza, G, Fusco, R, Gopalakrishnan, V, Pesapane, F, Biglioli, F & Cariati, M 2020, 'Quantification of heterogeneity to classify benign parotid tumors: A feasibility study on most frequent histotypes', Future Oncology, vol. 16, no. 12, pp. 763-778. https://doi.org/10.2217/fon-2019-0736

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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.",

keywords = "DCE-MRI, DW-MRI, histogram, intravoxel incoherent motion, magnetic resonance, parotid tumors, pleomorphic adenoma, volume of interest, Warthin tumor",

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

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doi = "10.2217/fon-2019-0736",

language = "English",

volume = "16",

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T1 - Quantification of heterogeneity to classify benign parotid tumors

T2 - A feasibility study on most frequent histotypes

AU - Patella, Francesca

AU - Sansone, Mario

AU - Franceschelli, Giuseppe

AU - Tofanelli, Laura

AU - Petrillo, Mario

AU - Fusco, Massimo

AU - Nicolino, Gabriele Maria

AU - Buccimazza, Giorgio

AU - Fusco, Roberta

AU - Gopalakrishnan, Vissagan

AU - Pesapane, Filippo

AU - Biglioli, Federico

AU - Cariati, Maurizio

PY - 2020/4

Y1 - 2020/4

N2 - 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.

AB - 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.

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KW - DW-MRI

KW - histogram

KW - intravoxel incoherent motion

KW - magnetic resonance

KW - parotid tumors

KW - pleomorphic adenoma

KW - volume of interest

KW - Warthin tumor

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

Abstract

Keywords

ASJC Scopus subject areas

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