Evidence map›Paper›PMID 31017934›Full record

ArticlePloS one2019

Comparative evaluation of cerebral gliomas using rCBV measurements during sequential acquisition of T1-perfusion and T2*-perfusion MRI.

Jitender Saini, Rakesh Kumar Gupta, Manoj Kumar, Anup Singh, Indrajit Saha, Vani Santosh, Manish Beniwal, Thennarasu Kandavel, Marc Van Cauteren

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

10 citing papers in PubMed, 23 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Jitender SainiDepartment of Neuroimaging & Interventional Radiology, National Institute of Mental, Health and Neurosciences, Bangalore, Karnataka, India.ORCID 0000-0002-5218-0264
Rakesh Kumar GuptaDepartment of Radiology and Imaging, Fortis Memorial Hospital and Research Institute, Gurgaon, Haryana, India.
Manoj KumarDepartment of Neuroimaging & Interventional Radiology, National Institute of Mental, Health and Neurosciences, Bangalore, Karnataka, India.
Anup SinghCenter for Biomedical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India.
Indrajit SahaPhilips Health Systems, Philips India Limited, Gurgaon, Haryana, India.
Vani SantoshDepartment of Neuropathology, National Institute of Mental, Health and Neurosciences, Bangalore, Karnataka, India.
Manish BeniwalDepartment of Neurosurgery, National Institute of Mental, Health and Neurosciences, Bangalore, Karnataka, India.
Thennarasu KandavelDepartment of Biostatistics, National Institute of Mental, Health and Neurosciences, Bangalore, Karnataka, India.
Marc Van CauterenPhilips Health Tech Asia Pacific, Minato-ku Tokyo, Japan.
National Institute of Mental Health and Neurosciences · INFortis Memorial Research Institute · INIndian Institute of Technology Delhi · INPhilips (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the inter-technique agreement of relative cerebral blood volume (rCBV) measurements obtained using T1- and T2*-perfusion MRI on 3T scanner in glioma patients.

methodsA total of 49 adult patients with gliomas underwent both on T1- and T2*-perfusion in the same scanning session, and rCBV maps were estimated using both methods. For the quantitative analysis; Two independent observers recorded the rCBV values from the tumor as well as contralateral brain tissue from both T1- and T2*-perfusion. Inter-observer and inter-technique rCBV measurement agreement were determined by using 95% Bland-Altman limits of agreement and intra-class correlation coefficient (ICC) statistics.

resultsQualitative analysis of the conventional and perfusion images showed that 16/49 (32.65%) tumors showed high susceptibility, and in these patients T2*-perfusion maps were suboptimal. Bland-Altman plots revealed an agreement between two independent observers recorded rCBV values for both T1- and T2*-perfusion. The ICC demonstrated strong agreement between rCBV values recorded by two observers for both T2* (ICC = 0.96, p = 0.040) and T1 (ICC = 0.97, p = 0.026) perfusion and similarly, good agreement was noted between rCBV estimated using two methods (ICC = 0.74, P<0.001). ROC analysis showed that rCBV estimated using T1- and T2*-perfusion methods were able to discriminate between grade-III and grade-IV tumors with AUC of 0.723 and 0.767 respectively. Comparison of AUC values of two ROC curves did not show any significant difference.

conclusionsIn the current study, T1- and T2*-perfusion showed similar diagnostic performance for discrimination of grade III and grade IV gliomas; however, T1-perfusion was found to be better for the evaluation of tumors with intratumoral hemorrhage, postoperative recurrent tumors, and lesions near skull base. We conclude that T1-perfusion MRI with a single dose of contrast could be used as an alternative to T2*-perfusion to overcome the issues associated with this technique in brain tumors for reliable perfusion quantification.

Indexed as

Cerebral Blood VolumeAdolescentAdultAgedAged, 80 and overBrain NeoplasmsContrast MediaFemaleGliomaHumansMagnetic Resonance AngiographyMaleMiddle AgedNeoplasm GradingYoung AdultContrast Media

Identifiers

PMID31017934
PMCPMC6481809
OpenAlexW2940952776

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.