Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach

Abstract The purpose of this study is to determine whether multiparametric non-contrast MR imaging including diffusion-weighted imaging (DWI), arterial spin labeling (ASL), and amide proton transfer (APT) weighted imaging can help differentiate malignant from benign salivary gland lesions. The study...

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Autores principales:	Koji Takumi, Hiroaki Nagano, Hidehiko Kikuno, Yuichi Kumagae, Yoshihiko Fukukura, Takashi Yoshiura
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4efd4cb680da414ea39601aed0ed7552
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spelling	oai:doaj.org-article:4efd4cb680da414ea39601aed0ed75522021-12-02T14:06:25ZDifferentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach10.1038/s41598-021-82455-22045-2322https://doaj.org/article/4efd4cb680da414ea39601aed0ed75522021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82455-2https://doaj.org/toc/2045-2322Abstract The purpose of this study is to determine whether multiparametric non-contrast MR imaging including diffusion-weighted imaging (DWI), arterial spin labeling (ASL), and amide proton transfer (APT) weighted imaging can help differentiate malignant from benign salivary gland lesions. The study population consisted of 42 patients, with 31 benign and 11 malignant salivary gland lesions. All patients were evaluated using DWI, three-dimensional pseudo-continuous ASL, and APT-weighted imaging on 3 T MR imaging before treatment. Apparent diffusion coefficient (ADC), tumor blood flow (TBF), and APT-related signal intensity (APTSI) values within the lesion were compared between the malignant and benign lesions by Mann–Whitney U test. For each parameter, optimal cutoff values were chosen using a threshold criterion that maximized the Youden index for predicting malignant lesions. The performance of ADC, TBF, APTSI, individually and combined, was evaluated in terms of diagnostic ability for malignant lesions. Diagnostic performance was compared by McNemar test. APTSI was significantly higher in malignant lesions (2.18 ± 0.89%) than in benign lesions (1.57 ± 1.09%, p = 0.047). There was no significant difference in ADC or TBF between benign and malignant lesions (p = 0.155 and 0.498, respectively). The accuracy of ADC, TBF, and APTSI for diagnosing malignant lesions was 47.6%, 50.0%, and 66.7%, respectively; whereas the accuracy of the three parameters combined was 85.7%, which was significantly higher than that of each parameter alone (p = 0.001, 0.001, and 0.008, respectively). Therefore, the combination of ADC, TBF, and APTSI can help differentiate malignant from benign salivary gland lesions.Koji TakumiHiroaki NaganoHidehiko KikunoYuichi KumagaeYoshihiko FukukuraTakashi YoshiuraNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Koji Takumi Hiroaki Nagano Hidehiko Kikuno Yuichi Kumagae Yoshihiko Fukukura Takashi Yoshiura Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach
description	Abstract The purpose of this study is to determine whether multiparametric non-contrast MR imaging including diffusion-weighted imaging (DWI), arterial spin labeling (ASL), and amide proton transfer (APT) weighted imaging can help differentiate malignant from benign salivary gland lesions. The study population consisted of 42 patients, with 31 benign and 11 malignant salivary gland lesions. All patients were evaluated using DWI, three-dimensional pseudo-continuous ASL, and APT-weighted imaging on 3 T MR imaging before treatment. Apparent diffusion coefficient (ADC), tumor blood flow (TBF), and APT-related signal intensity (APTSI) values within the lesion were compared between the malignant and benign lesions by Mann–Whitney U test. For each parameter, optimal cutoff values were chosen using a threshold criterion that maximized the Youden index for predicting malignant lesions. The performance of ADC, TBF, APTSI, individually and combined, was evaluated in terms of diagnostic ability for malignant lesions. Diagnostic performance was compared by McNemar test. APTSI was significantly higher in malignant lesions (2.18 ± 0.89%) than in benign lesions (1.57 ± 1.09%, p = 0.047). There was no significant difference in ADC or TBF between benign and malignant lesions (p = 0.155 and 0.498, respectively). The accuracy of ADC, TBF, and APTSI for diagnosing malignant lesions was 47.6%, 50.0%, and 66.7%, respectively; whereas the accuracy of the three parameters combined was 85.7%, which was significantly higher than that of each parameter alone (p = 0.001, 0.001, and 0.008, respectively). Therefore, the combination of ADC, TBF, and APTSI can help differentiate malignant from benign salivary gland lesions.
format	article
author	Koji Takumi Hiroaki Nagano Hidehiko Kikuno Yuichi Kumagae Yoshihiko Fukukura Takashi Yoshiura
author_facet	Koji Takumi Hiroaki Nagano Hidehiko Kikuno Yuichi Kumagae Yoshihiko Fukukura Takashi Yoshiura
author_sort	Koji Takumi
title	Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach
title_short	Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach
title_full	Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach
title_fullStr	Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach
title_full_unstemmed	Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach
title_sort	differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast mr imaging approach
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4efd4cb680da414ea39601aed0ed7552
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Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach

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