Literature DB >> 19131405

Diffusion-weighted echo-planar MR imaging of primary parotid gland tumors: is a prediction of different histologic subtypes possible?

C R Habermann1, C Arndt, J Graessner, L Diestel, K U Petersen, F Reitmeier, J O Ussmueller, G Adam, M Jaehne.   

Abstract

BACKGROUND AND
PURPOSE: Our aim was to determine the value of echo-planar diffusion-weighted MR imaging (epiDWI) in differentiating various types of primary parotid gland tumors.
MATERIALS AND METHODS: One hundred forty-nine consecutive patients with suspected tumors of the parotid gland were examined with an epiDWI sequence by using a 1.5T unit. Image analysis was performed by 2 radiologists independently, and the intraclass correlation coefficient was computed. Histologic diagnosis was obtained in every patient. For comparison of apparent diffusion coefficients (ADCs), a paired 2-tailed Student t test with a Bonferroni correction was used.
RESULTS: In 136 patients, a primary parotid gland tumor was confirmed by histology. Among the observers, a high correlation was calculated (0.98). ADC values of pleomorphic adenomas were significantly higher than those of all other entities, except for myoepithelial adenomas (P = .054). ADC values of Warthin tumors were different from those of myoepithelial adenomas, lipomas, and salivary duct carcinomas (P < .001, 0.013, and .037, respectively). Mucoepidermoid carcinomas, acinic cell carcinomas, and basal cell adenocarcinomas were not differentiable from Warthin tumors (P = .094, .396, and .604, respectively).
CONCLUSION: epiDWI has the potential to differentiate pleomorphic adenoma and myoepithelial adenomas from all other examined entities. Due to an overlap not only within the group of benign and malignant lesions but also between groups, diagnoses should not be addressed on the basis of ADC values solely. Therefore, further studies combining DWI, morphologic criteria, and probably other MR imaging techniques seem warranted.

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Mesh:

Year:  2009        PMID: 19131405     DOI: 10.3174/ajnr.A1412

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  66 in total

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2.  Diagnosing common parotid tumours with magnetic resonance imaging including diffusion-weighted imaging vs fine-needle aspiration cytology: a comparative study.

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3.  Imaging findings of parapharyngeal space pleomorphic adenoma in comparison with parotid gland pleomorphic adenoma.

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4.  Sonoelastography of parotid gland tumours: initial experience and identification of characteristic patterns.

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5.  Differentiation between benign and malignant orbital tumors at 3-T diffusion MR-imaging.

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6.  Different histological subtypes of parotid gland tumors: CT findings and diagnostic strategy.

Authors:  Zhi-Feng Xu; Fang Yong; Tian Yu; Ying-Yu Chen; Qiang Gao; Tao Zhou; Ai-Zhen Pan; Ren-Hua Wu
Journal:  World J Radiol       Date:  2013-08-28

7.  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

8.  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

9.  Prediction of malignancy of submandibular gland tumors with apparent diffusion coefficient.

Authors:  Ahmed Abdel Khalek Abdel Razek
Journal:  Oral Radiol       Date:  2017-12-29       Impact factor: 1.852

Review 10.  Salivary gland carcinomas.

Authors:  Tobias Ettl; Stephan Schwarz-Furlan; Martin Gosau; Torsten E Reichert
Journal:  Oral Maxillofac Surg       Date:  2012-07-29
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