Evidence map›Paper›PMID 38644430›Full record

ArticleJournal of the Egyptian National Cancer Institute2024

Radio-anatomical evaluation of clinical and radiomic profile of multi-parametric magnetic resonance imaging of de novo glioblastoma multiforme.

H Shafeeq Ahmed, Trupti Devaraj, Maanini Singhvi, T Arul Dasan, Priya Ranganath

Abstract read
In one paragraph

Article in Journal of the Egyptian National Cancer Institute, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

H Shafeeq AhmedDepartment of Radio-Diagnosis, Bangalore Medical College and Research Institute, Bangalore, 560002, India. shafeeqahmed2002@gmail.com.ORCID http://orcid.org/0000-0003-1671-8474
Trupti DevarajDepartment of Radio-Diagnosis, Bangalore Medical College and Research Institute, Bangalore, 560002, India.
Maanini SinghviDepartment of Radio-Diagnosis, Bangalore Medical College and Research Institute, Bangalore, 560002, India.
T Arul DasanDepartment of Radio-Diagnosis, Bangalore Medical College and Research Institute, Bangalore, 560002, India.
Priya RanganathDepartment of Anatomy, Bangalore Medical College and Research Institute, Karnataka, Bangalore, 560002, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma (GBM) is a fatal, fast-growing, and aggressive brain tumor arising from glial cells or their progenitors. It is a primary malignancy with a poor prognosis. The current study aims at evaluating the neuroradiological parameters of de novo GBM by analyzing the brain multi-parametric magnetic resonance imaging (mpMRI) scans acquired from a publicly available database analysis of the scans.

methodsThe dataset used was the mpMRI scans for de novo glioblastoma (GBM) patients from the University of Pennsylvania Health System, called the UPENN-GBM dataset. This was a collection from The Cancer Imaging Archive (TCIA), a part of the National Cancer Institute. The MRIs were reviewed by a single diagnostic radiologist, and the tumor parameters were recorded, wherein all recorded data was corroborated with the clinical findings.

resultsThe study included a total of 58 subjects who were predominantly male (male:female ratio of 1.07:1). The mean age with SD was 58.49 (11.39) years. Mean survival days with SD were 347 (416.21) days. The left parietal lobe was the most commonly found tumor location with 11 (18.96%) patients. The mean intensity for T1, T2, and FLAIR with SD was 1.45E + 02 (20.42), 1.11E + 02 (17.61), and 141.64 (30.67), respectively (p =  < 0.001). The tumor dimensions of anteroposterior, transverse, and craniocaudal gave a z-score (significance level = 0.05) of - 2.53 (p = 0.01), - 3.89 (p < 0.001), and 1.53 (p = 0.12), respectively.

conclusionThe current study takes a third-party database and reduces physician bias from interfering with study findings. Further prospective and retrospective studies are needed to provide conclusive data.

Indexed as

Brain NeoplasmsGlioblastomaAdultAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiparametric Magnetic Resonance ImagingPrognosisRadiomicsRetrospective StudiesGlioblastomaMRINeurologyNeuro-oncologyRadiology

Identifiers

PMID38644430
PMCPMC13313876

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