Cargando…
Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach
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 populati...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854671/ https://www.ncbi.nlm.nih.gov/pubmed/33531644 http://dx.doi.org/10.1038/s41598-021-82455-2 |
_version_ | 1783646130476679168 |
---|---|
author | Takumi, Koji Nagano, Hiroaki Kikuno, Hidehiko Kumagae, Yuichi Fukukura, Yoshihiko Yoshiura, Takashi |
author_facet | Takumi, Koji Nagano, Hiroaki Kikuno, Hidehiko Kumagae, Yuichi Fukukura, Yoshihiko Yoshiura, Takashi |
author_sort | Takumi, Koji |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7854671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78546712021-02-03 Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach Takumi, Koji Nagano, Hiroaki Kikuno, Hidehiko Kumagae, Yuichi Fukukura, Yoshihiko Yoshiura, Takashi Sci Rep Article 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. Nature Publishing Group UK 2021-02-02 /pmc/articles/PMC7854671/ /pubmed/33531644 http://dx.doi.org/10.1038/s41598-021-82455-2 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Takumi, Koji Nagano, Hiroaki Kikuno, Hidehiko Kumagae, Yuichi Fukukura, Yoshihiko Yoshiura, Takashi Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854671/ https://www.ncbi.nlm.nih.gov/pubmed/33531644 http://dx.doi.org/10.1038/s41598-021-82455-2 |
work_keys_str_mv | AT takumikoji differentiatingmalignantfrombenignsalivaryglandlesionsamultiparametricnoncontrastmrimagingapproach AT naganohiroaki differentiatingmalignantfrombenignsalivaryglandlesionsamultiparametricnoncontrastmrimagingapproach AT kikunohidehiko differentiatingmalignantfrombenignsalivaryglandlesionsamultiparametricnoncontrastmrimagingapproach AT kumagaeyuichi differentiatingmalignantfrombenignsalivaryglandlesionsamultiparametricnoncontrastmrimagingapproach AT fukukurayoshihiko differentiatingmalignantfrombenignsalivaryglandlesionsamultiparametricnoncontrastmrimagingapproach AT yoshiuratakashi differentiatingmalignantfrombenignsalivaryglandlesionsamultiparametricnoncontrastmrimagingapproach |