Evidence map›Paper›PMID 40496652›Full record

ArticleIranian journal of child neurology2025

Diagnostic Accuracy of MRI and CT Scan Features in Differentiation of Pediatric Ependymoma from Medulloblastoma.

Sam Mirfendereski, Neda Mansouri

Abstract read
In one paragraph

Article in Iranian journal of child neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sam MirfendereskiDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Neda MansouriDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The study aims to compare the diagnostic accuracy of MRI and CT scan features in differentiating medulloblastoma from ependymoma, two similar pediatric brain tumors. Materials & Methods: This retrospective cross-sectional study was conducted on all pediatric patients with posterior fossa tumors admitted to teaching hospitals affiliated with Isfahan University of Medical Sciences from 2017 to 2022. Forty-three patients with posterior fossa tumors were identified, and seven patients were excluded due to diagnoses other than medulloblastoma or ependymoma. Tumor morphology on MRI, tumor density on CT scan, and apparent diffusion coefficient (ADC) values were assessed to differentiate medulloblastoma from ependymoma. Results: Histopathologic diagnosis was medulloblastoma in 21 patients (60%) and ependymoma in 14 patients (40%). Mean ADC values in medulloblastoma and ependymoma cases were 0.67±0.19 (range= 0.50-1.25) and 1.22±0.29 (range=0.67-1.72), showing a significant statistical difference between the two groups (p-value=0.000). The ADC cut-off point of 0.9825 was associated with 90% sensitivity and 92.9% specificity for differentiation of ependymoma from medulloblastoma. Conclusion: While tumor morphology on MRI and other studied parameters are unreliable for differentiating medulloblastoma and ependymoma, ADC values may provide a potential diagnostic tool. Further studies are needed to confirm the utility of DWI and other advanced MRI techniques in differentiating these tumors.

Indexed as

Apparent Diffusion CoefficientCTEpendymoma MedulloblatomaMRI

Identifiers

PMID40496652
PMCPMC11781333

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