Cargando…

Differentiation of various salivary gland tumours using diffusion-weighted MRI and dynamic contrast-enhanced MRI

PURPOSE: To determine the role of functional magnetic resonance imaging techniques (diffusion-weighted magnetic resonance imaging [DW-MRI] and dynamic contrast-enhanced magnetic resonance imaging [DCE-MRI]) in the differentiation of various salivary gland tumours. MATERIAL AND METHODS: In this prosp...

Descripción completa

Detalles Bibliográficos
Autores principales: Kushwaha, Mohini, Kumar, Jyoti, Garg, Anju, Singh, Ishwar, Khurana, Nita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207355/
https://www.ncbi.nlm.nih.gov/pubmed/37234459
http://dx.doi.org/10.5114/pjr.2023.127058
_version_ 1785046435260006400
author Kushwaha, Mohini
Kumar, Jyoti
Garg, Anju
Singh, Ishwar
Khurana, Nita
author_facet Kushwaha, Mohini
Kumar, Jyoti
Garg, Anju
Singh, Ishwar
Khurana, Nita
author_sort Kushwaha, Mohini
collection PubMed
description PURPOSE: To determine the role of functional magnetic resonance imaging techniques (diffusion-weighted magnetic resonance imaging [DW-MRI] and dynamic contrast-enhanced magnetic resonance imaging [DCE-MRI]) in the differentiation of various salivary gland tumours. MATERIAL AND METHODS: In this prospective study, we evaluated 32 patients with salivary gland tumours using functional MRI. Diffusion parameters (mean apparent diffusion coefficient [ADC], normalized ADC and homogeneity index [HI]),semiquantitative DCE parameters (time signal intensity curves [TICs]) and quantitative DCE parameters (K(ep), K(trans) and V(e)) were analysed. Diagnostic efficiencies of all these parameters were determined to differentiate benign and malignant tumours as well as to characterize 3 major subgroups of salivary gland tumours, namely pleomorphic adenoma, Warthin tumour, and malignant tumours. RESULTS: Mean ADC, normalized ADC and HI were insignificant in differentiating benign and malignant tumours but were significant in differentiating pleomorphic adenomas, Warthin tumours, and malignant tumours. Mean ADC was the best parameter in predicting both pleomorphic adenomas and Warthin tumours (AUC: 0.95 and 0.89, respectively). Amongst DCE parameters, only TIC pattern could differentiate between benign and malignant tumours, with an accuracy of 93.75% (AUC: 0.94). The quantitative perfusion parameters aided greatly in characterizing pleomorphic adenomas, Warthin tumours and malignant tumours. For predicting pleomorphic adenomas, the accuracy of K(ep) and K(trans) was 96.77% (AUC: 0.98) and 93.55% (AUC: 0.95), respectively and for predicting Warthin tumours, the accuracy of both K(ep) and K(trans) was 96.77% (AUC: 0.97). CONCLUSIONS: DCE parameters (particularly TIC, K(ep) and K(trans)) had higher accuracy in characterizing various tumour subgroups (pleomorphic adenomas, Warthin tumours, and malignant tumours) than DWI parameters. Hence, dynamic contrast-enhanced imaging adds immense value with only a minimum time penalty to the examination.
format Online
Article
Text
id pubmed-10207355
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Termedia Publishing House
record_format MEDLINE/PubMed
spelling pubmed-102073552023-05-25 Differentiation of various salivary gland tumours using diffusion-weighted MRI and dynamic contrast-enhanced MRI Kushwaha, Mohini Kumar, Jyoti Garg, Anju Singh, Ishwar Khurana, Nita Pol J Radiol Originalpaper PURPOSE: To determine the role of functional magnetic resonance imaging techniques (diffusion-weighted magnetic resonance imaging [DW-MRI] and dynamic contrast-enhanced magnetic resonance imaging [DCE-MRI]) in the differentiation of various salivary gland tumours. MATERIAL AND METHODS: In this prospective study, we evaluated 32 patients with salivary gland tumours using functional MRI. Diffusion parameters (mean apparent diffusion coefficient [ADC], normalized ADC and homogeneity index [HI]),semiquantitative DCE parameters (time signal intensity curves [TICs]) and quantitative DCE parameters (K(ep), K(trans) and V(e)) were analysed. Diagnostic efficiencies of all these parameters were determined to differentiate benign and malignant tumours as well as to characterize 3 major subgroups of salivary gland tumours, namely pleomorphic adenoma, Warthin tumour, and malignant tumours. RESULTS: Mean ADC, normalized ADC and HI were insignificant in differentiating benign and malignant tumours but were significant in differentiating pleomorphic adenomas, Warthin tumours, and malignant tumours. Mean ADC was the best parameter in predicting both pleomorphic adenomas and Warthin tumours (AUC: 0.95 and 0.89, respectively). Amongst DCE parameters, only TIC pattern could differentiate between benign and malignant tumours, with an accuracy of 93.75% (AUC: 0.94). The quantitative perfusion parameters aided greatly in characterizing pleomorphic adenomas, Warthin tumours and malignant tumours. For predicting pleomorphic adenomas, the accuracy of K(ep) and K(trans) was 96.77% (AUC: 0.98) and 93.55% (AUC: 0.95), respectively and for predicting Warthin tumours, the accuracy of both K(ep) and K(trans) was 96.77% (AUC: 0.97). CONCLUSIONS: DCE parameters (particularly TIC, K(ep) and K(trans)) had higher accuracy in characterizing various tumour subgroups (pleomorphic adenomas, Warthin tumours, and malignant tumours) than DWI parameters. Hence, dynamic contrast-enhanced imaging adds immense value with only a minimum time penalty to the examination. Termedia Publishing House 2023-04-14 /pmc/articles/PMC10207355/ /pubmed/37234459 http://dx.doi.org/10.5114/pjr.2023.127058 Text en © Pol J Radiol 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0). License (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Originalpaper
Kushwaha, Mohini
Kumar, Jyoti
Garg, Anju
Singh, Ishwar
Khurana, Nita
Differentiation of various salivary gland tumours using diffusion-weighted MRI and dynamic contrast-enhanced MRI
title Differentiation of various salivary gland tumours using diffusion-weighted MRI and dynamic contrast-enhanced MRI
title_full Differentiation of various salivary gland tumours using diffusion-weighted MRI and dynamic contrast-enhanced MRI
title_fullStr Differentiation of various salivary gland tumours using diffusion-weighted MRI and dynamic contrast-enhanced MRI
title_full_unstemmed Differentiation of various salivary gland tumours using diffusion-weighted MRI and dynamic contrast-enhanced MRI
title_short Differentiation of various salivary gland tumours using diffusion-weighted MRI and dynamic contrast-enhanced MRI
title_sort differentiation of various salivary gland tumours using diffusion-weighted mri and dynamic contrast-enhanced mri
topic Originalpaper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207355/
https://www.ncbi.nlm.nih.gov/pubmed/37234459
http://dx.doi.org/10.5114/pjr.2023.127058
work_keys_str_mv AT kushwahamohini differentiationofvarioussalivaryglandtumoursusingdiffusionweightedmrianddynamiccontrastenhancedmri
AT kumarjyoti differentiationofvarioussalivaryglandtumoursusingdiffusionweightedmrianddynamiccontrastenhancedmri
AT garganju differentiationofvarioussalivaryglandtumoursusingdiffusionweightedmrianddynamiccontrastenhancedmri
AT singhishwar differentiationofvarioussalivaryglandtumoursusingdiffusionweightedmrianddynamiccontrastenhancedmri
AT khurananita differentiationofvarioussalivaryglandtumoursusingdiffusionweightedmrianddynamiccontrastenhancedmri