Value of apparent diffusion coefficient and magnetic resonance spectroscopy in the identification of various pathological subtypes of parotid gland tumors

Salama, Alsiagy A.; El‐Barbary, A. A.; Mlees, Mohamed A.; Esheba, Ghada E.

doi:10.1016/j.ejrnm.2014.09.005

Cited by 15 publications

(10 citation statements)

References 28 publications

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“…According to the current study the ages ranged from 9 to 72 years,the mean and SD of (42 ± 16.6) years, the final diagnosis by histopathology showed 35 (70%) benign and 15 (30%) malignant, 35(70%) of them were male and 15(30%) female, These results were approximately similar to that of Al-Kheshen et al study [12] , they stated that 40 patients (24 male and 16 female), 16 patients had malignant lesions and 24 had benign lesions. Other studies done by Salama et al [13] , Yologlu Z et al [14] , Eida S et al [15] , and Balçık et al [16] also showed similar results.…”

Section: Discussionsupporting

confidence: 70%

Value of diffusion weighted and ADC value - magnetic resonance imaging in differentiation between benign and malignant solid parotid gland masses

Abood¹,

Kadhim²

2020

Int. J. Radiol. Diagn. Imaging

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Background: magnetic resonance imaging (MRI) is becoming an essential tool for assessment of parotid gland pathology. Diffusion weighted imaging (DWI) provides quantitative and qualitative information reflecting the changes in tissue cellularity and integrity of cell membranes. Objective: To evaluate the diagnostic accuracy of diffusion weighted -MRI in the differentiation between benign and malignant solid parotid gland masses using 1.5 Tesla MRI scanner and to obtain the best cutoff value of apparent diffusion coefficient (ADC) to differentiate between benign and malignant masses. Patients and methods: prospective cross-sectional analytic study was conducted in Al Imamein Al Kadhumein Medical City, at the period between January 2019 and January 2020, 50 patients were included in the study. DWI was acquired at following b-values [50, 1000 millimeter (mm) 2/second (sec)], in this study the results were obtained and depending on b-value 1000 mm2/sec. Results: The mean level of ADC value of malignant masses (0.599 ± 0.117 SD x 10-3 mm2/sec), while for benign masses (1.590 ± 0.363 SD x10-3 mm2/sec); According to Receiver operating characteristic (ROC) curve the optimal cutoff point of ADC value was (0.914x10-3 mm2/sec) with sensitivity 100%, specificity 97%. The association between MRI diagnosis and histopathological diagnosis was significant (P value< 0.001). Conclusion: Diffusion weighted-MRI and ADC values are highly sensitive and specific to differentiate between benign and malignant solid parotid gland masses and the best ADC cut off value was (0.914x10-3 mm2/sec).

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Section: Discussionsupporting

confidence: 70%

Value of diffusion weighted and ADC value - magnetic resonance imaging in differentiation between benign and malignant solid parotid gland masses

Abood¹,

Kadhim²

2020

Int. J. Radiol. Diagn. Imaging

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“…These represent the most complex groups of head and neck tumors encountered by clinicians. 13 Our results demonstrated that combined routine contrast-enhanced MRI and quantitative diffusionweighted MRI is of significant value in differentiating between benign and malignant SGTs. The ADC values of malignant lesions were significantly lower than those of benign lesions, except for cases of Warthin's tumor.…”

Section: Discussionmentioning

confidence: 54%

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

et al. 2020

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Background Preoperative imaging of salivary gland tumors is important for predicting and differentiating benign from malignant tumors, and for aiding management planning. We aimed to investigate the accuracy of combined quantitative diffusion-weighted magnetic resonance imaging (MRI) and routine contrast-enhanced MRI in the evaluation of salivary gland tumors and the differentiation of benign from malignant tumors. Results This study included 51 patients with a total of 16 benign and 35 malignant lesions that were detected by histopathological analysis. There was a statistically significant difference between the apparent diffusion coefficient values (ADC) of malignant and benign lesions (0.69 ± 0.22 × 10−3 mm2/s and 1.39 ± 0.52 × 10−3 mm2/s respectively). The optimal cut-off ADC value was 1.08 with 75% specificity and 97% sensitivity. The routine contrast-enhanced MRI had predicted benign and malignant tumors with 65% sensitivity and 44% specificity. The sensitivity and specificity were greatly increased when quantitative diffusion-weighted MRI was combined with routine contrast-enhanced MRI: 100%, and 88% respectively. A receiver operating curve was generated. The area under curve was 0.88 ( p < 0.001, 95% CI: 0.76–0.99). Conclusion Combined quantitative diffusion-weighted MRI with ADC measurements and routine contrast-enhanced magnetic resonance imaging are helpful tools for the evaluation of salivary gland tumors and help differentiate benign from malignant lesions.

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“…Some studies had explored potential improvements to the diagnostic performance of DWI. Two studies determined that the accuracy was improved when using a combination of the ADC value and choline/creatine ratio [21,33]. Others reported that a combination of the ADC with DCE-MRI or conventional MRI could also improve the diagnostic performance [26,27,51].…”

Section: Discussionmentioning

confidence: 99%

“…The risk of bias with respect to the index test was unclear in nine studies due to unclear information about blinding protocols [6,[19][20][21][22]24,26,29,30]. The risk of bias with respect to the reference standard was unclear in all studies [6,[19][20][21][22][23][24][25][26][27][28][29][30][31][32][33], as it could not be determined whether the study references had been interpreted without knowledge of the index test results. The risk of bias with respect to flow and timing was rated high in four studies with multiple subsets [19,25,29,34], and one subset was selected from each to prevent oversampling.…”

Section: Methodological Quality Assessmentmentioning

confidence: 99%

Performance of diffusion-weighted imaging for the diagnosis of parotid gland malignancies: A meta-analysis

Chen

Liu

Tang

et al. 2021

European Journal of Radiology

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This study aimed to assess the diagnostic performance of diffusion-weighted imaging (DWI) for parotid gland malignancies. Methods: Four databases (PubMed, the Cochrane Library, Embase, and Web of Science) were searched systematically and retrospectively by two researchers until May 18, 2020. The methodological quality of the studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. A bivariate random effects model was used to pool the sensitivity and specificity data for the apparent diffusion coefficient (ADC). Summary receiver operating characteristic curve was constructed, and the area under the curve (AUC) was calculated. The positive (LR+) and negative likelihood ratios (LR-) were also calculated. Subgroup and meta-regression analyses were performed to evaluate heterogeneity within studies. Results: Sixteen studies involving 1004 patients were included. The pooled sensitivity, specificity, and AUC for the ADC to distinguish malignant from begin parotid lesions were 89 %, 76 %, and 0.91, respectively. The LR + was 3.7 and LR-was 0.15, respectively. Subgroup analyses revealed that the applied cut-off b values and study size were sources of heterogeneity for the ADC. There were publication bias concerns. Conclusions: Our meta-analysis suggests that the ADC value provides excellent sensitivity and moderate specificity for the diagnosis of malignant lesions in the parotid gland. However, substantial heterogeneity was found. Therefore, additional larger, prospective studies in combination with standard techniques focusing on parotid tumors should be conducted to determine the true performance of DWI for the differential diagnosis of parotid lesions.

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Value of apparent diffusion coefficient and magnetic resonance spectroscopy in the identification of various pathological subtypes of parotid gland tumors

Cited by 15 publications

References 28 publications

Value of diffusion weighted and ADC value - magnetic resonance imaging in differentiation between benign and malignant solid parotid gland masses

Value of diffusion weighted and ADC value - magnetic resonance imaging in differentiation between benign and malignant solid parotid gland masses

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

Performance of diffusion-weighted imaging for the diagnosis of parotid gland malignancies: A meta-analysis

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