Apparent diffusion coefficient (ADC) histogram analysis: Differentiation of benign from malignant parotid gland tumors using readout-segmented diffusion-weighted imaging.

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by Zhang Z, Song C, Zhang Y, Wen B, Zhu J, Cheng J via dentomaxillofac rad

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Apparent diffusion coefficient (ADC) histogram analysis: Differentiation of benign from malignant parotid gland tumors using readout-segmented diffusion-weighted imaging.
Dentomaxillofac Radiol. 2019 Jul 02;:20190100
Authors: Zhang Z, Song C, Zhang Y, Wen B, Zhu J, Cheng J
Abstract
OBJECTIVES: To explore the utility of whole-lesion apparent diffusion coefficient (ADC) histogram analysis for differentiating parotid gland tumors following readout-segmented diffusion-weighted imaging (RESOLVE).
METHODS: Eighty patients (40 with pleomorphic adenomas, 14 with Warthin tumors, and 26 with malignant parotid gland tumors) who underwent routine head-and-neck MRI and RESOLVE examinations, were retrospectively evaluated. RESOLVE data were acquired from a MAGNETOM Skyra 3T MR system. Eleven whole-lesion histogram parameters derived from histogram analysis (ADC_mean, ADC_minimum, ADC_maximum, ADC_1th, ADC_10th, ADC_50th, ADC_90th, ADC_99th, skewness, variance and kurtosis) were calculated for each patient using MaZda. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic performance of the ADC for distinguishing among the three groups.
RESULTS: In total, nine parameters (ADC_minimum, ADC_maximum, ADC_mean, ADC_10th, ADC_50th, ADC_90th, ADC_99th, variance, skewness) were statistically significant (all p < 0.05) for all three groups, in the comparison of pleomorphic adenomas to Warthin tumors; the ADC_mean, ADC_50th, and skewness revealed high diagnostic efficiency with areas under the ROC curve (AUC) of 0.976, 0.970, and 0.970, respectively. In the comparison of pleomorphic adenomas to malignant parotid gland tumors, these nine parameters were also found to be statistically different (all p < 0.05); the ADC_mean, ADC_10th and ADC_50th revealed high diagnostic efficiency with AUC of 0.851, 0.866, and 0.841, respectively. However, in the comparison of Warthin tumors to malignant parotid gland tumors, only three parameters (ADC_mean, ADC_50th, skewness) were statistically significant (all p < 0.05).
CONCLUSIONS: Whole-lesion ADC histograms are effective in differentiating common parotid gland tumors.
PMID: 31265331 [PubMed - as supplied by publisher]