Evidence map›Paper›PMID 25104071›Full record

ArticleInternational journal of radiation oncology, biology, physics2014

Toward distinguishing recurrent tumor from radiation necrosis: DWI and MTC in a Gamma Knife--irradiated mouse glioma model.

Carlos J Perez-Torres, John A Engelbach, Jeremy Cates, Dinesh Thotala, Liya Yuan, Robert E Schmidt, Keith M Rich, Robert E Drzymala, Joseph J H Ackerman, Joel R Garbow

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
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  9. Impact of mouse strain and sex when modeling radiation necrosis.Radiation oncology (London, England) · 2020
    Article
  10. Article
  11. Review
  12. Preclinical MRI: Studies of the irradiated brain.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Specificity of vascular endothelial growth factor treatment for radiation necrosis.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2015
    Article
  18. Article
  19. Article
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

10 authors at 1 institution in 1 country.

Carlos J Perez-TorresDepartment of Radiology, Washington University, St. Louis, Missouri.
John A EngelbachDepartment of Radiology, Washington University, St. Louis, Missouri.
Jeremy CatesDepartment of Radiation Oncology, Washington University, St. Louis, Missouri.
Dinesh ThotalaDepartment of Radiation Oncology, Washington University, St. Louis, Missouri.
Liya YuanDepartment of Neurosurgery, Washington University, St. Louis, Missouri.
Robert E SchmidtDepartment of Neuropathology, Washington University, St. Louis, Missouri.
Keith M RichDepartment of Radiation Oncology, Washington University, St. Louis, Missouri; Department of Neurosurgery, Washington University, St. Louis, Missouri.
Robert E DrzymalaDepartment of Radiation Oncology, Washington University, St. Louis, Missouri.
Joseph J H AckermanDepartment of Chemistry, Washington University, St. Louis, Missouri; Department of Radiology, Washington University, St. Louis, Missouri; Department of Internal Medicine, Washington University, St. Louis, Missouri.
Joel R GarbowDepartment of Radiology, Washington University, St. Louis, Missouri. Electronic address: garbow@wustl.edu.
Washington University in St. Louis · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
IMAGING BIOMARKERS FOR RADIATION-INDUCED NECROSISR01CA155365 · NCI · WASHINGTON UNIVERSITY · PI GARBOW, JOEL RICHARD · 2011 to 2015
$1.5M
NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA155365NCI NIH HHS R01CA155365
6 · The paper itself

Abstract

purposeAccurate noninvasive diagnosis is vital for effective treatment planning. Presently, standard anatomical magnetic resonance imaging (MRI) is incapable of differentiating recurring tumor from delayed radiation injury, as both lesions are hyperintense in both postcontrast T1- and T2-weighted images. Further studies are therefore necessary to identify an MRI paradigm that can differentially diagnose these pathologies. Mouse glioma and radiation injury models provide a powerful platform for this purpose. METHODS AND MATERIALS: Two MRI contrasts that are widely used in the clinic were chosen for application to a glioma/radiation-injury model: diffusion weighted imaging, from which the apparent diffusion coefficient (ADC) is obtained, and magnetization transfer contrast, from which the magnetization transfer ratio (MTR) is obtained. These metrics were evaluated longitudinally, first in each lesion type alone-glioma versus irradiation - and then in a combined irradiated glioma model.

resultsMTR was found to be consistently decreased in all lesions compared to nonlesion brain tissue (contralateral hemisphere), with limited specificity between lesion types. In contrast, ADC, though less sensitive to the presence of pathology, was increased in radiation injury and decreased in tumors. In the irradiated glioma model, ADC also increased immediately after irradiation, but decreased as the tumor regrew.

conclusionsADC is a better metric than MTR for differentiating glioma from radiation injury. However, MTR was more sensitive to both tumor and radiation injury than ADC, suggesting a possible role in detecting lesions that do not enhance strongly on T1-weighted images.

Indexed as

RadiosurgeryAnimalsBrainBrain NeoplasmsDiffusion Magnetic Resonance ImagingDisease Models, AnimalFemaleGliomaMagnetic Resonance ImagingMiceMice, Inbred BALB CNecrosisNeoplasm Recurrence, LocalRadiation InjuriesSensitivity and Specificity

Identifiers

PMID25104071
PMCPMC4307945
OpenAlexW2054150421

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.