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...
Autores principales: | , , , , |
---|---|
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 |