Evidence map›Paper›PMID 21948114›Full record

ArticleJournal of neuro-oncology2012

Evaluation of radiation necrosis and malignant glioma in rat models using diffusion tensor MR imaging.

Silun Wang, Yifei Chen, Bachchu Lal, Eric Ford, Erik Tryggestad, Michael Armour, Kun Yan, John Laterra, Jinyuan Zhou

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of neuro-oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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  6. Pseudoprogression of brain tumors.Journal of magnetic resonance imaging : JMRI · 2018
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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 3 institutions in 1 country.

Silun WangDepartment of Radiology, Johns Hopkins University School of Medicine, 600 N. Wolfe Street, 336 Park Building, Baltimore, MD 21287, USA.
Yifei Chen
Bachchu Lal
Eric Ford
Erik Tryggestad
Michael Armour
Kun Yan
John Laterra
Jinyuan Zhou
Johns Hopkins University · USKennedy Krieger Institute · USJohns Hopkins Medicine · US

Funding

Amide Proton Transfer (APT) MRI of Brain Tumors at 3T and 7TR01EB009731 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ZHOU, JINYUAN · 2009 to 2016
$2.9M
High-resolution DT-MRI for differentiation of malignant glioma from radiation necR21EB009112 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ZHOU, JINYUAN · 2009 to 2010
$449k
NIBIB NIH HHS EB009112NIBIB NIH HHS EB009731NIBIB NIH HHS R01 EB009731NIBIB NIH HHS R21 EB009112
6 · The paper itself

Abstract

Standard MRI cannot distinguish between radiation necrosis and tumor progression; however, this distinction is critical in the assessment of tumor response to therapy. In this study, one delayed radiation necrosis model (dose, 40 Gy; radiation field, 10 × 10 mm(2); n = 13) and two orthotopic glioma models in rats (9L gliosarcoma, n =8; human glioma xenografts, n = 5) were compared using multiple diffusion tensor imaging (DTI) indices. A visible isotropic apparent diffusion coefficient (ADC) pattern was observed in the lesion due to radiation necrosis, which consisted of a hypointense central zone and a hyperintense peripheral zone. There were significantly lower ADC, parallel diffusivity, and perpendicular diffusivity in the necrotic central zone than in the peripheral zone (all P < 0.001). When radiation-induced necrosis was compared with viable tumor, radiation necrosis had significantly lower ADC than 9L gliosarcoma and human glioma xenografts (both P < 0.01) in the central zone, and significantly lower fractional anisotropy than 9L gliosarcoma (P = 0.005) and human glioma xenografts (P = 0.012) in the peripheral zone. Histological analysis revealed parenchymal coagulative necrosis in the central zone, and damaged vessels and reactive astrogliosis in the peripheral zone. These data suggest that qualitative and quantitative analysis of the DTI maps can provide useful information by which to distinguish between radiation necrosis and viable glioma.

Indexed as

Diffusion Magnetic Resonance ImagingDiffusion Tensor ImagingAnimalsBrain NeoplasmsGliomaHumansImage Processing, Computer-AssistedMaleRadiation InjuriesRatsRats, Inbred F344Transplantation, HeterologousTumor Cells, Cultured

Identifiers

PMID21948114
PMCPMC3268835
OpenAlexW2029677831

What OpenQuestion holds

Textmetadata
LicenceTDM
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.