Literature DB >> 29430614

Non-enhanced MRI in combination with color Doppler flow imaging for improving diagnostic accuracy of parotid gland lesions.

Wei Zhang1, Zhichao Zuo1, Ningbin Luo1, Lianfeng Liu2, Guanqiao Jin1, Junjie Liu3, Danke Su4.   

Abstract

PURPOSE: To determine the value of non-enhanced MRI in combination with color Doppler flow imaging (CDFI) for differentiating malignant parotid tumors from benign ones.
METHODS: This retrospective study analyzed 51 parotid gland lesions (39 benign and 12 malignant) in 51 patients who underwent preoperative CDFI as well as non-enhanced MRI including T1-weighted, T2-weighted, and diffusion-weighted imaging (DWI). Degrees of intratumor vascularity were categorized into four grades basing on CDFI findings. The relationships between the lesion and its adjacent external carotid artery and retromandibular vein were inspected on T1-weighted and T2-weighted images. Apparent diffusion coefficient (ADC) values were calculated from diffusion-weighted images, and were used to classify the parotid gland lesions with and without reference to the CDFI findings. The classification results were compared using the McNemar test. Sensitivity, specificity, and accuracy percentages were calculated when the non-enhanced MRI/CDFI findings were used to differentiate benign lesions from malignant ones.
RESULTS: The diagnostic accuracy (96.1 vs 82.4%) was significantly improved when ADCs were used together with CDFI findings for classifying parotid gland lesions compared to when ADCs were used alone. Pleomorphic adenomas had the highest ADCs. The ADC thresholds were 1.425 × 10-3 mm2/s for differentiating pleomorphic adenomas from carcinomas, 0.999 × 10-3 mm2/s for differentiating pleomorphic adenomas from other benign lesions, and 0.590 × 10-3 mm2/s for differentiating benign lesions other than pleomorphic adenomas from lymphomas.
CONCLUSION: Combining CDFI with non-enhanced MRI can improve the diagnostic accuracy of MRI for classifying parotid gland lesions.

Entities:  

Keywords:  Apparent diffusion coefficient; Color Doppler flow imaging; Diffusion weighted imaging; Parotid gland lesions

Mesh:

Year:  2018        PMID: 29430614     DOI: 10.1007/s00405-018-4895-6

Source DB:  PubMed          Journal:  Eur Arch Otorhinolaryngol        ISSN: 0937-4477            Impact factor:   2.503


  33 in total

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3.  MR imaging of parotid tumors: typical lesion characteristics in MR imaging improve discrimination between benign and malignant disease.

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4.  Clinical prognostic factors in malignant parotid gland tumors.

Authors:  Roberto A Lima; Marcos R Tavares; Fernando L Dias; Jacob Kligerman; Marilene F Nascimento; Mauro M Barbosa; Claudio R Cernea; Jose R Soares; Izabella C Santos; Scheylla Salviano
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5.  Study of salivary gland lesions with fine needle aspiration cytology and histopothology along with immunohistochemistry.

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6.  Interest of diffusion-weighted and gadolinium-enhanced dynamic MR sequences for the diagnosis of parotid gland tumors.

Authors:  J Lechner Goyault; S Riehm; A Neuville; A Gentine; F Veillon
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7.  Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging.

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8.  Distinguishing benign from malignant parotid gland tumours: low-dose multi-phasic CT protocol with 5-minute delay.

Authors:  G Q Jin; D K Su; D Xie; W Zhao; L D Liu; X N Zhu
Journal:  Eur Radiol       Date:  2011-03-11       Impact factor: 5.315

9.  Color Doppler sonography of salivary glands.

Authors:  C Martinoli; L E Derchi; L Solbiati; G Rizzatto; E Silvestri; M Giannoni
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Review 10.  Imaging of salivary gland tumours.

Authors:  Harriet C Thoeny
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  4 in total

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

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3.  Value of Diffusion-Weighted Imaging Combined with Susceptibility-Weighted Imaging in Differentiating Benign from Malignant Parotid Gland Lesions.

Authors:  Wei Zhang; Zhichao Zuo; Xiangyang Huang; Guanqiao Jin; Danke Su
Journal:  Med Sci Monit       Date:  2018-07-04

Review 4.  Advanced magnetic resonance imaging findings in salivary gland tumors.

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Journal:  World J Radiol       Date:  2022-08-28
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