Evidence map›Paper›PMID 36337074›Full record

ArticleSA journal of radiology2022

Differentiation between various types and subtypes of intracranial meningiomas with advanced MRI.

Mousam Panigrahi, Narendra K Bodhey, Saroj K Pati, Nighat Hussain, Anil K Sharma, Arvind K Shukla

Abstract read
In one paragraph

Article in SA journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

6 authors.

Mousam PanigrahiDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Raipur, India.ORCID https://orcid.org/0000-0003-3891-6842
Narendra K BodheyDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Raipur, India.ORCID https://orcid.org/0000-0003-1736-3329
Saroj K PatiDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Raipur, India.ORCID https://orcid.org/0000-0002-9120-5452
Nighat HussainDepartment of Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Raipur, India.ORCID https://orcid.org/0000-0003-1120-2452
Anil K SharmaDepartment of Neurosurgery, All India Institute of Medical Sciences, Raipur, India.ORCID https://orcid.org/0000-0003-2974-9720
Arvind K ShuklaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, India.ORCID https://orcid.org/0000-0001-8336-6830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Meningiomas are the most prevalent of all intracranial tumours. Although they are mostly benign, about 20% of meningiomas are atypical or malignant. Knowledge of their histologic grade can be clinically useful while planning surgery. Objectives: To differentiate between various grades and subtypes of meningiomas with advanced MR parameters. Method: We assessed the advanced MR imaging characteristics of 27 histopathologically confirmed meningiomas on a 3T MRI, of which 23 were grade I meningiomas (2 fibroblastic, 9 meningothelial, 9 transitional, 3 unspecified) and 4 were grade II/III meningiomas (2 atypical, 1 papillary, 1 anaplastic). Analysis of the ADC, FA, λ1, λ2, λ3 and mean diffusivity was performed using standard post-processing software. Results: The mean size of atypical meningiomas (5.9 cm ± 0.7 cm) was significantly higher ( Conclusion: Tumour size and ASL perfusion are two parameters that could differentiate between typical and atypical meningiomas while ADC, FA, λ3, CP, CS, rCBF and rCBV may be helpful in distinguishing different subtypes of typical meningiomas.

Indexed as

ADCASLDTImeningiomaT1 perfusion

Identifiers

PMID36337074
PMCPMC9634949

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