Evidence map›Paper›PMID 27856439›Full record

ArticleAJNR. American journal of neuroradiology2017

Early-Stage Glioblastomas: MR Imaging-Based Classification and Imaging Evidence of Progressive Growth.

C H Toh, M Castillo

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

2 authors.

C H TohFrom the Department of Medical Imaging and Intervention (C.H.T.), Chang Gung Memorial Hospital at Linkou and Chang Gung University College of Medicine, Tao-Yuan, Taiwan 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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe serial imaging changes describing the growth of glioblastomas from small to large tumors are seldom reported. Our aim was to classify the imaging patterns of early-stage glioblastomas and to define the order of appearance of different imaging patterns that occur during the growth of small glioblastomas. MATERIALS AND

methodsMedical records and preoperative MR imaging studies of patients diagnosed with glioblastoma between 2006 and 2013 were reviewed. Patients were included if their MR imaging studies showed early-stage glioblastomas, defined as small MR imaging lesions detected early in the course of the disease, demonstrating abnormal signal intensity but the absence of classic imaging findings of glioblastoma. Each lesion was reviewed by 2 neuroradiologists independently for location, signal intensity, involvement of GM and/or WM, and contrast-enhancement pattern on MR imaging.

resultsTwenty-six patients with 31 preoperative MR imaging studies met the inclusion criteria. Early-stage glioblastomas were classified into 3 types and were all hyperintense on FLAIR/T2-weighted images. Type I lesions predominantly involved cortical GM (

conclusionsCortical lesions may be the earliest MR imaging-detectable abnormality in some human glioblastomas. These cortical tumors may progress to involve WM.

Indexed as

AdultAgedBrain NeoplasmsDisease ProgressionFemaleFollow-Up StudiesGlioblastomaHumansMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID27856439
PMCPMC7963843

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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.