Tag: Diffusion Weighted Imaging
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MRI-Derived ADC Histogram Analysis in Differentiating Benign and Malignant Parotid Gland Tumors: Diagnostic Performance and Interobserver Reliability
Introduction Parotid gland tumors pose a diagnostic challenge, with benign lesions vastly outnumbering malignant ones. Diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) histogram analysis offer a noninvasive approach to characterize these tumors preoperatively. This article summarizes findings from a retrospective study that evaluated the diagnostic performance of ADC histogram parameters and their interobserver reliability…
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MRI-Derived ADC Histogram Analysis for Parotid Tumor Differentiation: Benign vs Malignant
Introduction Differentiating benign from malignant parotid gland tumors remains a clinical challenge. Advances in diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) histogram analysis offer a noninvasive tool to aid preoperative characterization. This retrospective single-center study assesses the diagnostic performance and interobserver reliability of conventional MRI features and ADC histogram metrics in distinguishing benign from…
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Evaluating ADC Histogram Analysis on MRI to Tell Benign from Malignant Parotid Gland Tumors
Introduction Distinguishing benign from malignant parotid gland tumors remains a clinical challenge. This retrospective study from a single tertiary care center investigates how diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) histogram analysis on neck MRI can aid in differentiating parotid lesions. By evaluating both conventional MRI features and ADC histogram parameters, the research aimed…