ArticleHealth science reports2024
Correlation of ADC values of adult brain tumors with the diagnosis and pathological grade: A cross-sectional multicenter study.
Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Multi-center diffusion-weighted MRI validation for 0.35T MR-Linac.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2026Article
- Pediatric thalamic incidentalomas: a retrospective analysis of their characteristics, evolution, management, and prognostic factors for progression.Acta neurochirurgica · 2025Article
- Clinicopathological insights of supratentorial embryonal tumor with medulloblastoma-like histopathology in adulthood: A case report.Biomedical reports · 2025Article
- Diagnostic challenges of gliosarcoma: case report of a rare glioblastoma histopathological variant.Frontiers in radiology · 2025Article
- Correlation of ADC values of adult brain tumors with the diagnosis and pathological grade: A cross-sectional multicenter study.Health science reports · 2024Article
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Abstract
Background and Aim: Brain tumors are common, requiring physicians to have a precise understanding of them for accurate diagnosis and treatment. Considering that various histological tumor types present different cellularity, we conducted this research to examine the role of apparent diffusion coefficient (ADC) values in the differential diagnosis and pathologic grading of brain tumor types. Methods: In this cross-sectional study, we gathered pathology reports of histological samples of adult brain tumors. The tissue sample of brain tumors were examined histologically by a pathologist. The magnetic resonance imaging data of these patients were interpreted by a neuroradiologist. The measured ADC values and ADC ratios were calculated. Standard mean ADC values were expressed as 10 Results: Sixty-eight patients were included in the study: 34 (50%) were male, and 34 (50%) were female. The average age of the patients was 51.69 + 16.40 years. In the examination of tumor type, 16 (23.5%) were astrocytoma, 9 (13.2%) were oligodendroglioma, 20 (29.4%) were glioblastoma, 4 (5.9%) were medulloblastoma, and 19 (27.9%) were metastatic tumors. the average value of ADC was statistically significantly different according to the pathological type of tumor ( Conclusion: The assessment of brain tumor grade through ADC examination will help to estimate prognosis and devising suitable therapeutic strategies.
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