Evidence map›Paper›PMID 38841116›Full record

ArticleHealth science reports2024

Correlation of ADC values of adult brain tumors with the diagnosis and pathological grade: A cross-sectional multicenter study.

Ehsan Hassannejad, Mahtab Mohammadifard, Asma Payandeh, Bita Bijari, Ahmad Shoja, Mostafa Abdollahi, Mahyar Mohammadifard

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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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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. 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) · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ehsan HassannejadDepartment of Radiology, Faculty of Medicine Birjand University of Medical Sciences Birjand Iran.ORCID 0000-0001-9395-4134
Mahtab MohammadifardDepartment of Pathology, Faculty of Medicine Birjand University of Medical Sciences Birjand Iran.
Asma PayandehFaculty of Medicine Mashhad University of Medical Sciences Mashhad Iran.
Bita BijariCommunity Medicine department, Faculty of Medicine, Birjand University of Medical Sciences Cardiovascular Diseases Research Center of Birjand University of Medical Sciences Birjand Iran.
Ahmad ShojaDepartment of Radiology, Faculty of Medicine Birjand University of Medical Sciences Birjand Iran.
Mostafa AbdollahiDepartment of Radiology, School of Medicine, Shahid Modarres Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.
Mahyar MohammadifardDepartment of Radiology, Faculty of Medicine Birjand University of Medical Sciences Birjand Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ADCbrain MRIDWItumor

Identifiers

PMID38841116
PMCPMC11150419

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