Literature DB >> 23465973

Quantitative diffusion-weighted magnetic resonance imaging in the evaluation of parotid gland masses: a study with histopathological correlation.

Irfan Celebi1, Abdullah Soydan Mahmutoglu, Ayhan Ucgul, Sıtkı Mert Ulusay, Tulay Basak, Muzaffer Basak.   

Abstract

We evaluated the quantitative diffusion-weighted magnetic resonance imaging (DW-MRI) for parotid masses. Seventy-five patients with 81 focal parotid masses were included. Following DW-MRI, 73 masses underwent surgical biopsy/resection, 6 underwent ultrasonography-guided fine-needle aspiration, and 2 underwent both procedures. The mean apparent diffusion coefficient (ADC) of benign tumors (n=49, 1.72×10(-3) mm(2)/s) was higher than that of malignant tumors (n=32, 1.05×10(-3) mm(2)/s) (P<.001). ADC was 2.15×10(-3) mm(2)/s for pleomorphic adenomas, which was higher than that for other tumors (P<.001 for all). ADC cutoff was 1.315 for distinguishing between pleomorphic adenomas and others including malignant tumors. Therefore, DW-MRI may be useful for distinguishing between pleomorphic adenomas and other parotid masses.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23465973     DOI: 10.1016/j.clinimag.2012.04.025

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  18 in total

1.  Application of DTI and ARFI imaging in differential diagnosis of parotid tumours.

Authors:  Jinfen Yu; Yanfei Du; Yong Lu; Weidong Zhang; Dongsheng Zhang; Guangbin Wang; Chuanting Li
Journal:  Dentomaxillofac Radiol       Date:  2016-07-22       Impact factor: 2.419

2.  Evaluating Instantaneous Perfusion Responses of Parotid Glands to Gustatory Stimulation Using High-Temporal-Resolution Echo-Planar Diffusion-Weighted Imaging.

Authors:  T-W Chiu; Y-J Liu; H-C Chang; Y-H Lee; J-C Lee; K Hsu; C-W Wang; J-M Yang; H-H Hsu; C-J Juan
Journal:  AJNR Am J Neuroradiol       Date:  2016-06-23       Impact factor: 3.825

Review 3.  Apparent diffusion coefficient measurement of the parotid gland parenchyma.

Authors:  Maja Bruvo; Faisal Mahmood
Journal:  Quant Imaging Med Surg       Date:  2021-08

4.  Accuracy of combined quantitative diffusion-weighted MRI and routine contrast-enhanced MRI in discrimination of benign and malignant salivary gland tumors.

Authors:  Ayman Nada; Dina Hady; Ayda Youssef; Esmat Mahmoud; Ramy Edward Assad
Journal:  Neuroradiol J       Date:  2020-03-30

Review 5.  Cystic lesions of the parotid gland: radiologic-pathologic correlation according to the latest World Health Organization 2017 Classification of Head and Neck Tumours.

Authors:  Hirotaka Takita; Tohru Takeshita; Taro Shimono; Hiroko Tanaka; Hiroyoshi Iguchi; Shigeo Hashimoto; Yuko Kuwae; Masahiko Ohsawa; Yukio Miki
Journal:  Jpn J Radiol       Date:  2017-08-23       Impact factor: 2.374

6.  Parotid gland lesions: separate and combined diagnostic value of conventional MRI, diffusion-weighted imaging and dynamic contrast-enhanced MRI.

Authors:  Ying Yuan; Weiqing Tang; Xiaofeng Tao
Journal:  Br J Radiol       Date:  2016-02-19       Impact factor: 3.039

7.  Apparent Diffusion Coefficient Map-Based Radiomics Features for Differential Diagnosis of Pleomorphic Adenomas and Warthin Tumors From Malignant Tumors.

Authors:  Baohong Wen; Zanxia Zhang; Jing Zhu; Liang Liu; Yinhua Li; Haoyu Huang; Yong Zhang; Jingliang Cheng
Journal:  Front Oncol       Date:  2022-06-07       Impact factor: 5.738

8.  Quantitative dynamic contrast-enhanced MRI and readout segmentation of long variable echo-trains diffusion-weighted imaging in differentiating parotid gland tumors.

Authors:  Nan Huang; Zebin Xiao; Yu Chen; Dejun She; Wei Guo; Xiefeng Yang; Qi Chen; Dairong Cao; Tanhui Chen
Journal:  Neuroradiology       Date:  2021-07-09       Impact factor: 2.804

9.  Parotid gland tumors: comparison of conventional and diffusion-weighted MRI findings with histopathological results.

Authors:  Can Zafer Karaman; Ahmet Tanyeri; Recep Özgür; Veli Süha Öztürk
Journal:  Dentomaxillofac Radiol       Date:  2020-12-11       Impact factor: 2.419

10.  FDG-PET/CT pitfalls in oncological head and neck imaging.

Authors:  Bela S Purohit; Angeliki Ailianou; Nicolas Dulguerov; Christoph D Becker; Osman Ratib; Minerva Becker
Journal:  Insights Imaging       Date:  2014-08-26
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