ArticlePolish journal of radiology2023
Differentiation of various salivary gland tumours using diffusion-weighted MRI and dynamic contrast-enhanced MRI.
Article in Polish journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Quantitative magnetic resonance imaging analysis of salivary glands: effects of age and number of remaining teeth.Odontology · 2026Article
- Multiparametric Ex Vivo Evaluation of Parotid Tumors: Feasibility and Preliminary Results.NMR in biomedicine · 2026Article
- The Role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in Differentiating Salivary Gland Neoplasms Compared with Fine-Needle Aspiration (FNA).Diagnostics (Basel, Switzerland) · 2026Article
- Intravoxel incoherent motion and diffusion kurtosis imaging for subtype differentiation in salivary gland tumors: a diagnostic performance study.BMC medical imaging · 2025Article
- Deep learning-based classification of parotid gland tumors: integrating dynamic contrast-enhanced MRI for enhanced diagnostic accuracy.BMC medical imaging · 2025Article
- Multiparametric MRI in Diagnosis of Parotid Gland Tumor: An Observational Study in 3-T MRI.The Indian journal of radiology & imaging · 2025Article
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5 authors.
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Abstract
Purpose: To determine the role of functional magnetic resonance imaging techniques (diffusion-weighted magnetic resonance imaging [DW-MRI] and dynamic contrast-enhanced magnetic resonance imaging [DCE-MRI]) in the differentiation of various salivary gland tumours. Material and methods: In this prospective study, we evaluated 32 patients with salivary gland tumours using functional MRI. Diffusion parameters (mean apparent diffusion coefficient [ADC], normalized ADC and homogeneity index [HI]),semiquantitative DCE parameters (time signal intensity curves [TICs]) and quantitative DCE parameters (K Results: Mean ADC, normalized ADC and HI were insignificant in differentiating benign and malignant tumours but were significant in differentiating pleomorphic adenomas, Warthin tumours, and malignant tumours. Mean ADC was the best parameter in predicting both pleomorphic adenomas and Warthin tumours (AUC: 0.95 and 0.89, respectively). Amongst DCE parameters, only TIC pattern could differentiate between benign and malignant tumours, with an accuracy of 93.75% (AUC: 0.94). The quantitative perfusion parameters aided greatly in characterizing pleomorphic adenomas, Warthin tumours and malignant tumours. For predicting pleomorphic adenomas, the accuracy of K Conclusions: DCE parameters (particularly TIC, K
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