Evidence map›Paper›PMID 32732270›Full record

ArticleAJNR. American journal of neuroradiology2020

MRS as an Aid to Diagnose Malignant Transformation in Low-Grade Gliomas with Increasing Contrast Enhancement.

C H Toh, M Castillo, K-C Wei, P-Y Chen

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 13 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

4 authors at 3 institutions in 2 countries.

C H TohFrom the Departments of Medical Imaging and Intervention (C.H.T.) eldomtoh@hotmail.com.ORCID 0000-0002-8871-5101
M CastilloDepartment of Radiology (M.C.), University of North Carolina School of Medicine, Chapel Hill, North Carolina.ORCID 0000-0003-2960-1064
K-C WeiNeurosurgery (K.-C.W., P.-Y.C.), Chang Gung Memorial Hospital at Linkou and Chang Gung University College of Medicine, Tao-Yuan, Taiwan.ORCID 0000-0003-3505-2196
P-Y ChenNeurosurgery (K.-C.W., P.-Y.C.), Chang Gung Memorial Hospital at Linkou and Chang Gung University College of Medicine, Tao-Yuan, Taiwan.ORCID 0000-0003-3324-0695
Chang Gung University · TWSociety of Interventional Radiology · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIncreased contrast enhancement has been used as a marker of malignant transformation in low-grade gliomas. This marker has been found to have limited accuracy because many low-grade gliomas with increased contrast enhancement remain grade II. We aimed to investigate whether MR spectroscopy can contribute to the diagnosis of malignant transformation in low-grade gliomas with increased contrast enhancement. MATERIALS AND

methodsPatients with low-grade gliomas who had contemporaneous MR spectroscopy and histopathology for tumor regions with increased contrast enhancement between 2004 and 2015 were retrospectively reviewed. Clinical data collected were sex and age, Karnofsky Performance Scale, histologic subtypes,

resultsA total of 86 patients with 96 MR spectroscopy studies were included. Tumor grades associated with increased contrast enhancement were grade II (

conclusionsMR spectroscopy complements conventional MR imaging in the diagnosis of malignant transformation in a subgroup of low-grade gliomas with increased contrast enhancement.

Indexed as

AdultAgedAged, 80 and overBrain NeoplasmsCell Transformation, NeoplasticFemaleGliomaHumansMagnetic Resonance SpectroscopyMaleMiddle AgedNeuroimagingRetrospective StudiesYoung Adult

Identifiers

PMID32732270
PMCPMC7583095
OpenAlexW3046628386

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.