ArticleAdvanced biomedical research2025
The Role of b-value Diffusion-weighted Imaging in Differentiating High-grade and Low-grade Brain Tumors: A Comprehensive Study with Standard b-value DWI.
Article in Advanced biomedical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Accurate differentiation between high- and low-grade brain tumors is pivotal for guiding therapy and predicting prognosis. While diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) mapping offer non-invasive insights into tumor microstructures, conventional b-value (~1000 s/mm²) protocols often blur these distinctions, limiting diagnostic specificity. This study systematically investigated the impact of multiple b-values on DWI and ADC values to optimize tumor grade differentiation. Materials and Methods: Forty patients with histologically confirmed brain tumors (18 glioblastoma multiforme, 11 astrocytoma's, 5 oligodendrogliomas, and 6 ependymomas) underwent MRI between April 2023 and March 2024 at our institution. DWI sequences were acquired at b-values of 0, 500, 1000, 1500, and 2000 s/mm². Three radiologists independently scored the images for quality, lesion conspicuities, anatomical delineations, artifacts, and noise using a 4-point Likert scale. The ADC values were correlated with histopathological grade. Inter-reader reliability was assessed using the intraclass correlation coefficient (ICC) and Cohen's kappa. Results: High b-values (1500-2000 s/mm²) substantially enhanced lesion conspicuity, especially in low-grade tumors, while preserving the anatomical details. The ADC values were inversely correlated with the tumor grade across all b-values ( Conclusion: High-b-value DWI markedly improves noninvasive brain tumor grading by enhancing ADC contrast and lesion visibility. Integrating high-b-value protocols into routine MRI can facilitate early and accurate diagnosis, support personalized treatment planning, and potentially transform clinical neuro-oncological practice.
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