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Publication Name World Journal of Radiology
Manuscript ID 74955
Country Türkiye
Category Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type Minireviews
Article Title Advanced magnetic resonance imaging findings in salivary gland tumors
Manuscript Source Invited Manuscript
All Author List Erkan Gökçe and Murat Beyhan
Funding Agency and Grant Number
Corresponding Author Erkan Gökçe, MD, Professor, Department of Radiology, Faculty of Medicine, Tokat Gaziosmanpasa University, Kaleardı Neighborhood, Muhittin Fisunoglu Street, Tokat 60100, Türkiye. drerkangokce@gmail.com
Key Words Salivary gland tumors; Magnetic resonance imaging; Diffusion-weighted imaging; Dynamic contrast-enhanced imaging; Perfusion-weighted magnetic resonance imaging
Core Tip Conventional magnetic resonance imaging (MRI) provides more data than other radiological modalities in determining the extent of tumor extension and evaluating its relationship with vascular and neural structures in salivary gland tumors (SGTs). Advanced MRI techniques, which have been increasingly used in the radiological evaluation of SGTs in recent years, contribute to obtaining more information about the nature of the lesion compared to conventional sequences. Different features such as cellularity, microstructural features and vascularity of tumors can be evaluated by diffusion MRI or perfusion MRI techniques, and they can contribute to the differentiation of benign or malignant tumors.
Citation Gökçe E, Beyhan M. Advanced magnetic resonance imaging findings in salivary gland tumors. World J Radiol 2022; 14(8):256-271
Received
2022-01-12 09:33
Peer-Review Started
2022-01-12 09:35
To Make the First Decision
Return for Revision
2022-03-16 08:56
Revised
2022-03-22 09:49
Second Decision
2022-08-03 02:40
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-08-07 20:30
Articles in Press
2022-08-07 20:30
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-08-17 15:29
ISSN 1949-8470 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
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