AI-Powered MRI Analysis for Early Detection and Staging of Oral Cancer: A Pilot Diagnostic Study
Year: 2025
Type: article
Abstract: This pilot diagnostic study rigorously evaluates the efficacy of advanced, powered MRI—specifically multiparametric protocols incorporating Diffusion-Weighted Imaging (DWI) and Dynamic Contrast-Enhanced (DCE-MRI) sequences—for the early detection and precise staging of oral squamous cell carcinoma (OSCC). The research demonstrates that quantitative biomarkers derived from these sequences, such as Apparent Diffusion Coefficient (ADC) and pharmacokinetic parameters, provide high diagnostic accuracy in differentiating early-stage (T1/T2) tumors from benign lesions and normal tissue. Furthermore, the findings indicate that this non-invasive approach significantly improves the assessment of key prognostic features, including tumor depth of invasion (DOI), perineural spread, and bone marrow involvement, thereby offering a powerful tool to complement clinical examination and guide subsequent treatment planning for improved patient outcomes.
Authors: Asadi, Alireza, Ghahramani, Yasamin
Institution: Shiraz University of Medical Sciences
Language: English
Topic: MRI in cancer diagnosis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7103143359
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