Cargando…
Dynamic Contrast Magnetic Resonance Imaging (DCE-MRI) and Diffusion Weighted MR Imaging (DWI) for Differentiation between Benign and Malignant Salivary Gland Tumors
BACKGROUND: Salivary gland tumors form nearly 3% of head and neck tumors. Due to their large histological variety and vicinity to facial nerves, pre-operative diagnosis and differentiation of benign and malignant parotid tumors are a major challenge for radiologists. OBJECTIVE: The majority of these...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shiraz University of Medical Sciences
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681460/ https://www.ncbi.nlm.nih.gov/pubmed/26688794 |
_version_ | 1782405752420302848 |
---|---|
author | Assili, S. Fathi Kazerooni, A. Aghaghazvini, L. Saligheh Rad, H.R. Pirayesh Islamian, J. |
author_facet | Assili, S. Fathi Kazerooni, A. Aghaghazvini, L. Saligheh Rad, H.R. Pirayesh Islamian, J. |
author_sort | Assili, S. |
collection | PubMed |
description | BACKGROUND: Salivary gland tumors form nearly 3% of head and neck tumors. Due to their large histological variety and vicinity to facial nerves, pre-operative diagnosis and differentiation of benign and malignant parotid tumors are a major challenge for radiologists. OBJECTIVE: The majority of these tumors are benign; however, sometimes they tend to transform into a malignant form. Functional MRI techniques, namely dynamic contrast enhanced (DCE-) MRI and diffusion-weighted MRI (DWI) can indicate the characteristics of tumor tissue. METHODS: DCE-MRI analysis is based on the parameters of time intensity curve (TIC) before and after contrast agent injection. This method has the potential to identify the angiogenesis of tumors. DWI analysis is performed according to diffusion of water molecules in a tissue for determination of the cellularity of tumors. CONCLUSION: According to the literature, these methods cannot be used individually to differentiate benign from malignant salivary gland tumors. An effective approach could be to combine the aforementioned methods to increase the accuracy of discrimination between different tumor types. The main objective of this study is to explore the application of DCE-MRI and DWI for assessment of salivary gland tumor types. |
format | Online Article Text |
id | pubmed-4681460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Shiraz University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-46814602015-12-18 Dynamic Contrast Magnetic Resonance Imaging (DCE-MRI) and Diffusion Weighted MR Imaging (DWI) for Differentiation between Benign and Malignant Salivary Gland Tumors Assili, S. Fathi Kazerooni, A. Aghaghazvini, L. Saligheh Rad, H.R. Pirayesh Islamian, J. J Biomed Phys Eng Original Article BACKGROUND: Salivary gland tumors form nearly 3% of head and neck tumors. Due to their large histological variety and vicinity to facial nerves, pre-operative diagnosis and differentiation of benign and malignant parotid tumors are a major challenge for radiologists. OBJECTIVE: The majority of these tumors are benign; however, sometimes they tend to transform into a malignant form. Functional MRI techniques, namely dynamic contrast enhanced (DCE-) MRI and diffusion-weighted MRI (DWI) can indicate the characteristics of tumor tissue. METHODS: DCE-MRI analysis is based on the parameters of time intensity curve (TIC) before and after contrast agent injection. This method has the potential to identify the angiogenesis of tumors. DWI analysis is performed according to diffusion of water molecules in a tissue for determination of the cellularity of tumors. CONCLUSION: According to the literature, these methods cannot be used individually to differentiate benign from malignant salivary gland tumors. An effective approach could be to combine the aforementioned methods to increase the accuracy of discrimination between different tumor types. The main objective of this study is to explore the application of DCE-MRI and DWI for assessment of salivary gland tumor types. Shiraz University of Medical Sciences 2015-12-01 /pmc/articles/PMC4681460/ /pubmed/26688794 Text en © 2015: Journal of Biomedical Physics and Engineering This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Assili, S. Fathi Kazerooni, A. Aghaghazvini, L. Saligheh Rad, H.R. Pirayesh Islamian, J. Dynamic Contrast Magnetic Resonance Imaging (DCE-MRI) and Diffusion Weighted MR Imaging (DWI) for Differentiation between Benign and Malignant Salivary Gland Tumors |
title | Dynamic Contrast Magnetic Resonance Imaging (DCE-MRI) and Diffusion Weighted MR Imaging (DWI) for Differentiation between Benign and Malignant Salivary Gland Tumors |
title_full | Dynamic Contrast Magnetic Resonance Imaging (DCE-MRI) and Diffusion Weighted MR Imaging (DWI) for Differentiation between Benign and Malignant Salivary Gland Tumors |
title_fullStr | Dynamic Contrast Magnetic Resonance Imaging (DCE-MRI) and Diffusion Weighted MR Imaging (DWI) for Differentiation between Benign and Malignant Salivary Gland Tumors |
title_full_unstemmed | Dynamic Contrast Magnetic Resonance Imaging (DCE-MRI) and Diffusion Weighted MR Imaging (DWI) for Differentiation between Benign and Malignant Salivary Gland Tumors |
title_short | Dynamic Contrast Magnetic Resonance Imaging (DCE-MRI) and Diffusion Weighted MR Imaging (DWI) for Differentiation between Benign and Malignant Salivary Gland Tumors |
title_sort | dynamic contrast magnetic resonance imaging (dce-mri) and diffusion weighted mr imaging (dwi) for differentiation between benign and malignant salivary gland tumors |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681460/ https://www.ncbi.nlm.nih.gov/pubmed/26688794 |
work_keys_str_mv | AT assilis dynamiccontrastmagneticresonanceimagingdcemrianddiffusionweightedmrimagingdwifordifferentiationbetweenbenignandmalignantsalivaryglandtumors AT fathikazeroonia dynamiccontrastmagneticresonanceimagingdcemrianddiffusionweightedmrimagingdwifordifferentiationbetweenbenignandmalignantsalivaryglandtumors AT aghaghazvinil dynamiccontrastmagneticresonanceimagingdcemrianddiffusionweightedmrimagingdwifordifferentiationbetweenbenignandmalignantsalivaryglandtumors AT salighehradhr dynamiccontrastmagneticresonanceimagingdcemrianddiffusionweightedmrimagingdwifordifferentiationbetweenbenignandmalignantsalivaryglandtumors AT pirayeshislamianj dynamiccontrastmagneticresonanceimagingdcemrianddiffusionweightedmrimagingdwifordifferentiationbetweenbenignandmalignantsalivaryglandtumors |