AI Article Synopsis
- - The study aimed to assess how well whole-lesion apparent diffusion coefficient (ADC) histogram analysis can differentiate between different types of parotid gland tumors using advanced MRI techniques.
- - It evaluated 80 patients with various tumors, calculating 11 histogram parameters from ADC data, and found that several parameters significantly distinguished pleomorphic adenomas, Warthin tumors, and malignant tumors.
- - The findings concluded that ADC histogram analysis is a reliable method for differentiating parotid gland tumors, particularly highlighting the effectiveness of specific parameters like ADC_mean and skewness in diagnostic efficiency.
Article 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: 80 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 < 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 receiver operating characteristic curve 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 < 0.05); the ADC_mean, ADC_10th and ADC_50th revealed high diagnostic efficiency with area under the curve 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 < 0.05).
Conclusions: Whole-lesion ADC histograms are effective in differentiating common parotid gland tumors.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775791 | PMC |
| http://dx.doi.org/10.1259/dmfr.20190100 | DOI Listing |
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