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

Yuan, Ying; Tang, Wensi; Tao, Xiaofeng

doi:10.1259/bjr.20150912

Cited by 60 publications

(57 citation statements)

References 26 publications

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“…20,21 Some previous studies reported that diffusion-weighted imaging (DWI) and its derived apparent diffusion coefficient (ADC) could provide high diagnostic accuracy in characterizing parotid gland tumors, but there was significant overlap in ADC values among different tumors. [22][23][24] Therefore, there is still no consensus on the role of DWI in characterizing parotid gland tumors.…”

Section: Discussionmentioning

confidence: 99%

<p>A Preliminary Study of CT Texture Analysis for Characterizing Epithelial Tumors of the Parotid Gland</p>

Zhang¹,

Li²,

Lv³

et al. 2020

CMAR

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The aim of this study was to explore and validate the diagnostic performance of whole-volume CT texture features in differentiating the common benign and malignant epithelial tumors of the parotid gland. Materials and Methods: Contrast-enhanced CT images of 83 patients with common benign and malignant epithelial tumors of the parotid gland confirmed by histopathology were retrospectively analyzed, including 50 patients with pleomorphic adenoma (PA) and 33 patients with malignant epithelial tumors. Quantitative texture features of tumors were extracted from CT images of arterial phase. The diagnostic performance of texture features was evaluated via receiver operating characteristic (ROC) curve and area under ROC curve (AUC). The specificity and sensitivity were respectively discussed by the maximum Youden's index. Results: All the texture features were subject to normal distribution and homoscedasticity. Energy, mean, correlation, and sum entropy of epithelial malignancy group were significantly higher than those of PA group (P<0.05). There were no statistically significant differences between PA group and epithelial malignancy group in uniformity, entropy, skewness, kurtosis, contrast, and difference entropy (P>0.05). The AUC of each texture feature and joint diagnostic model was 0.887 (energy), 0.734 (mean), 0.739 (correlation), 0.623 (sum entropy), 0.888 (energy-mean), 0.883 (energy-correlation), 0.784 (mean-correlation). The diagnostic efficiency of energy-mean was the best. Based on the maximum Youden's index, the specificity of energy-correlation was the highest (97%) and the sensitivity of energy was the highest (97%). Conclusion: Energy, mean, correlation, and sum entropy can be the effective quantitative texture features to differentiate the benign and malignant epithelial tumors of the parotid gland. With higher AUC, energy and energy-mean are superior to other indexes or joint diagnostic models in differentiating the benign and malignant epithelial tumors of the parotid gland. CT texture analysis can be used as a noninvasive and valuable means of preoperative assessment of parotid epithelial tumors without additional cost to the patients.

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Section: Discussionmentioning

confidence: 99%

<p>A Preliminary Study of CT Texture Analysis for Characterizing Epithelial Tumors of the Parotid Gland</p>

Zhang¹,

Li²,

Lv³

et al. 2020

CMAR

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“…During our study design, we tried a highly-optimized imaging parameter. Thirty slices with a slice thickness of 3 mm were used in our study, while the slice thickness usually ranged from 4 to 6 mm in previous studies [1,2,21]. The voxel size was 1.1 × 1.1 × 3.0 mm 3 , and the average number of each b value was set as 2.…”

Section: Discussionmentioning

confidence: 99%

“…Diffusion weighted imaging (DWI) is a widely-used technique for evaluating the rate of microscopic water diffusion in tissues. Its derived apparent diffusion coe cient (ADC) has been accepted as an important diagnostic marker for characterizing parotid gland tumors [1,2]. In clinical practice, single-shot echoplanar imaging (SS-EPI) is commonly used for DWI scan.…”

Section: Introductionmentioning

confidence: 99%

Feasibility study of using simultaneous multi-slice RESOLVE diffusion weighted imaging to assess parotid gland tumors: comparison with conventional RESOLVE diffusion weighted imaging

Jiang

Zhu

et al. 2020

Preprint

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Background To evaluate the feasibility of using simultaneous multi-slice (SMS) readout segmentation of long variable echo-trains (RESOLVE) diffusion-weighted imaging (DWI) to assess parotid gland tumors, compared with conventional RESOLVE DWIMethods From September 2018 to December 2018, 20 consecutive patients with parotid tumors who underwent MRI scan for pre-surgery evaluation were enrolled. SMS-RESOLVE DWI and conventional RESOLVE DWI were scanned with matched imaging parameters, respectively. The scan time of two DWI sequences was recorded. Qualitative (anatomical structure differentiation, lesion display, artifact, and overall image quality) and quantitative (apparent diffusion coefficient, ADC; ratio of signal-to-noise ratio, SNR ratio; ratio of contrast-to-noise ratio, CNR ratio) assessments of image quality were performed, and compared between SMS-RESOLVE DWI and conventional RESOLVE DWI by using Paired t-test. Two-sided P value less than 0.05 indicated significant difference.[l1] Results The scan time was 3 minutes and 41 seconds for SMS-RESOLVE DWI, and 5 minutes and 46 seconds for conventional RESOLVE DWI. SMS-RESOLVE DWI produced similar qualitative image quality with RESOLVE DWI (anatomical structure differentiation, P=0.164; lesion display, P=0.193; artifact, P=0.330; overall image quality, P=0.083). Meanwhile, there were no significant difference on ADCLesion (P=0.298), ADCMasseter (P=0.122), SNR ratio (P=0.584) and CNR ratio (P=0.217) between two DWI sequences. Conclusion Compared with conventional RESOLVE DWI, SMS-RESOLVE DWI could provide comparable image quality using markedly reduced scan time. SMS could increase the clinical usability of RESOLVE technique for DWI of parotid gland.

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“…The accuracy of MRI can be even more increased with the complement of dynamic contrast-enhanced MRI (DCE-MRI), diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) calculation. [ 22 23 24 ]…”

Section: Ross-sectional I Maging mentioning

confidence: 99%

“…Even DWI and ADC, in the differentiation of benign and malignant nodules, showed similar features and conflicting results among different studies. [ 24 28 ]…”

Section: Ross-sectional I Maging mentioning

confidence: 99%

Cross-sectional Imaging of Parotid Gland Nodules: A Brief Practical Guide

Cicero

D’Angelo

Racchiusa

et al. 2018

Journal of Clinical Imaging Science

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Clinical evaluation and ultrasound examination are the first steps in the evaluation of a patient with a swelling of the parotid region. After the detection of a nodular lesion, cytological or histological confirmation is usually performed to achieve the diagnosis, while the choice of cross-sectional imaging (computed tomography scan and magnetic resonance imaging) may significantly vary from one physician to another, on the basis of the degree of confidence that both radiologist and surgeon have with this kind of imaging. This work focuses on some essential “reporting points” in cross-sectional imaging evaluation of parotid nodules, chiefly helpful to the radiologist when the ultrasonography assessment is considered incomplete and requires a further evaluation.

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

Cited by 60 publications

References 26 publications

<p>A Preliminary Study of CT Texture Analysis for Characterizing Epithelial Tumors of the Parotid Gland</p>

<p>A Preliminary Study of CT Texture Analysis for Characterizing Epithelial Tumors of the Parotid Gland</p>

Feasibility study of using simultaneous multi-slice RESOLVE diffusion weighted imaging to assess parotid gland tumors: comparison with conventional RESOLVE diffusion weighted imaging

Cross-sectional Imaging of Parotid Gland Nodules: A Brief Practical Guide

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