Literature DB >> 28987676

Value of diffusion tensor imaging in differentiating malignant from benign parotid gland tumors.

Koji Takumi1, Yoshihiko Fukukura2, Hiroto Hakamada1, Junichi Ideue1, Yuichi Kumagae1, Takashi Yoshiura1.   

Abstract

PURPOSE: To evaluate whether diffusion tensor imaging (DTI) can be used to differentiate malignant parotid gland tumors from the benign ones.
MATERIALS AND METHODS: The study population comprised 59 parotid gland tumors (24 Warthin's tumors, 19 pleomorphic adenomas, seven other benign tumors, and nine malignant tumors). Single-shot echo-planar DTI was performed with motion-probing gradients along 30 noncollinear directions (b=1000s/mm2) at 3.0T. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values for benign and malignant tumors were compared using the Mann-Whitney U test. Receiver-operating characteristic (ROC) curve analysis was performed to assess the ability of the ADC and FA values to differentiate malignant tumors from the benign ones.
RESULTS: ADC values showed no significant difference between malignant (0.93±0.21×10-3mm2/s) and benign tumors (1.19±0.50×10-3mm2/s) (p=0.225). FA values of malignant tumors were significantly higher than those of benign tumors (0.26±0.06 vs. 0.17±0.05, p<0.001). The area under the ROC curve of FA was significantly greater than that under the curve of ADC (0.884 vs. 0.628, p=0.010).
CONCLUSIONS: DTI, particularly FA, can help differentiate malignant parotid gland tumors from the benign ones.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diffusion magnetic resonance imaging; Diffusion tensor imaging; Magnetic resonance imaging; Parotid neoplasms; Salivary glands

Mesh:

Year:  2017        PMID: 28987676     DOI: 10.1016/j.ejrad.2017.08.013

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  11 in total

1.  Histogram analysis of apparent diffusion coefficient maps for differentiating malignant from benign parotid gland tumors.

Authors:  Gao Ma; Liu-Ning Zhu; Guo-Yi Su; Hao Hu; Wen Qian; Shou-Shan Bu; Xiao-Quan Xu; Fei-Yun Wu
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-07-02       Impact factor: 2.503

2.  Frequency and imaging features of the adjacent osseous changes of salivary gland carcinomas in the head and neck region.

Authors:  Daisuke Horiuchi; Taro Shimono; Hiroyuki Tatekawa; Taro Tsukamoto; Hirotaka Takita; Masahiro Okazaki; Yukio Miki
Journal:  Neuroradiology       Date:  2022-05-07       Impact factor: 2.995

3.  Characterization of salivary gland tumours with diffusion tensor imaging.

Authors:  Ahmed Abdel Khalek Abdel Razek
Journal:  Dentomaxillofac Radiol       Date:  2018-02-22       Impact factor: 2.419

4.  Pseudo-continuous arterial spin labeling MR images in Warthin tumors and pleomorphic adenomas of the parotid gland: qualitative and quantitative analyses and their correlation with histopathologic and DWI and dynamic contrast enhanced MRI findings.

Authors:  Tatsuya Yamamoto; Hirohiko Kimura; Kuniyoshi Hayashi; Yoshiaki Imamura; Masaki Mori
Journal:  Neuroradiology       Date:  2018-07-02       Impact factor: 2.804

5.  Differentiation of salivary gland tumor using diffusion-weighted imaging with a fractional order calculus model.

Authors:  Wei Chen; Liu-Ning Zhu; Yong-Ming Dai; Jia-Suo Jiang; Shou-Shan Bu; Xiao-Quan Xu; Fei-Yun Wu
Journal:  Br J Radiol       Date:  2020-07-10       Impact factor: 3.039

6.  Usefulness of readout-segmented EPI-based diffusion tensor imaging of lacrimal gland for detection and disease staging in thyroid-associated ophthalmopathy.

Authors:  Lu Chen; Hao Hu; Wen Chen; Qian Wu; Jiang Zhou; Huan-Huan Chen; Xiao-Quan Xu; Hai-Bin Shi; Fei-Yun Wu
Journal:  BMC Ophthalmol       Date:  2021-07-20       Impact factor: 2.209

7.  Differentiating malignant from benign salivary gland lesions: a multiparametric non-contrast MR imaging approach.

Authors:  Koji Takumi; Hiroaki Nagano; Hidehiko Kikuno; Yuichi Kumagae; Yoshihiko Fukukura; Takashi Yoshiura
Journal:  Sci Rep       Date:  2021-02-02       Impact factor: 4.379

8.  Classification of parotid gland tumors by using multimodal MRI and deep learning.

Authors:  Yi-Ju Chang; Teng-Yi Huang; Yi-Jui Liu; Hsiao-Wen Chung; Chun-Jung Juan
Journal:  NMR Biomed       Date:  2020-09-04       Impact factor: 4.044

9.  Histogram analysis of dynamic contrast-enhanced magnetic resonance imaging in the differential diagnosis of parotid tumors.

Authors:  Shiyu Xiang; Jiliang Ren; Zhipeng Xia; Ying Yuan; Xiaofeng Tao
Journal:  BMC Med Imaging       Date:  2021-12-17       Impact factor: 1.930

Review 10.  Cross-sectional imaging and cytologic investigations in the preoperative diagnosis of parotid gland tumors - An updated literature review.

Authors:  Sebastian Stoia; Grigore Băciuț; Manuela Lenghel; Radu Badea; Csaba Csutak; Georgeta Mihaela Rusu; Mihaela Băciuț; Tiberiu Tamaș; Emil Boțan; Gabriel Armencea; Simion Bran; Cristian Dinu
Journal:  Bosn J Basic Med Sci       Date:  2021-02-01       Impact factor: 3.363

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