ArticleDento maxillo facial radiology2019
Apparent diffusion coefficient (ADC) histogram analysis: differentiation of benign from malignant parotid gland tumors using readout-segmented diffusion-weighted imaging.
Article in Dento maxillo facial radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Machine learning-based radiomics for histological classification of parotid tumors using morphological MRI: a comparative study.European radiology · 2022Trial
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- Intravoxel incoherent motion and diffusion kurtosis imaging for subtype differentiation in salivary gland tumors: a diagnostic performance study.BMC medical imaging · 2025Article
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- Article
- Differentiation of salivary gland tumours using diffusion-weighted image-based virtual MR elastography: a pilot study.Dento maxillo facial radiology · 2024Article
- Apparent Diffusion Coefficient (ADC) Histogram Analysis in Parotid Gland Tumors: Evaluating a Novel Approach for Differentiation between Benign and Malignant Parotid Lesions Based on Full Histogram Distributions.Diagnostics (Basel, Switzerland) · 2022Article
- Influence of post-label delay time on the performance of 3D pseudo-continuous arterial spin labeling magnetic resonance imaging in the characterization of parotid gland tumors.European radiology · 2022Article
- Article
- Apparent Diffusion Coefficient Map-Based Radiomics Features for Differential Diagnosis of Pleomorphic Adenomas and Warthin Tumors From Malignant Tumors.Frontiers in oncology · 2022Article
- Histogram analysis of dynamic contrast-enhanced magnetic resonance imaging in the differential diagnosis of parotid tumors.BMC medical imaging · 2021Article
- Carcinoma ex pleomorphic adenoma of major salivary glands: CT and MR imaging findings.Dento maxillo facial radiology · 2021Article
- Quantitative dynamic contrast-enhanced MRI and readout segmentation of long variable echo-trains diffusion-weighted imaging in differentiating parotid gland tumors.Neuroradiology · 2021Article
- MRI-Based radiomics nomogram for differentiation of benign and malignant lesions of the parotid gland.European radiology · 2021Article
- Cross-sectional imaging and cytologic investigations in the preoperative diagnosis of parotid gland tumors - An updated literature review.Bosnian journal of basic medical sciences · 2021Review
- MRI-Based Radiomics to Differentiate between Benign and Malignant Parotid Tumors With External Validation.Frontiers in oncology · 2021Article
- The histogram analysis of apparent diffusion coefficient in differential diagnosis of parotid tumor.Dento maxillo facial radiology · 2020Article
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6 authors.
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Abstract
objectivesTo explore the utility of whole-lesion apparent diffusion coefficient (ADC) histogram analysis for differentiating parotid gland tumors following readout-segmented diffusion-weighted imaging (RESOLVE).
methods80 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.
resultsIn total, nine parameters (ADC_minimum, ADC_maximum, ADC_mean, ADC_10th, ADC_50th, ADC_90th, ADC_99th, variance, skewness) were statistically significant (all
conclusionsWhole-lesion ADC histograms are effective in differentiating common parotid gland tumors.
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