Evidence map›Paper›PMID 21865401›Full record

ArticleNeuro-oncology2011

MRI apparent diffusion coefficient reflects histopathologic subtype, axonal disruption, and tumor fraction in diffuse-type grade II gliomas.

Inas S Khayal, Scott R Vandenberg, Kenneth J Smith, Colleen P Cloyd, Susan M Chang, Soonmee Cha, Sarah J Nelson, Tracy R McKnight

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation ofAJNR. American journal of neuroradiology · 2018
    Article
  7. Prediction ofAJNR. American journal of neuroradiology · 2018
    Article
  8. Article
  9. Noninvasive Assessment ofAJNR. American journal of neuroradiology · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 5 institutions in 1 country.

Inas S KhayalUCSF/UCB Joint Graduate Group in Bioengineering, University of California, San Francisco, CA, USA.
Scott R Vandenberg
Kenneth J Smith
Colleen P Cloyd
Susan M Chang
Soonmee Cha
Sarah J Nelson
Tracy R McKnight
University of California, San Francisco · USUniversity of California System · USAdvanced Imaging Research (United States) · USGraduate Theological Union · USUniversity of California, San Diego · US

Funding

Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
Impact of molecular phenotype on glioma metabolism and growthR01CA159869 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NELSON, SARAH J. · 2011 to 2015
$1.7M
NCI NIH HHS P50 CA097257NCI NIH HHS R01 CA11604NCI NIH HHS R01 CA159869
6 · The paper itself

Abstract

The apparent diffusion coefficient (ADC) determined from MR diffusion tensor imaging (DTI) has shown promise for distinguishing World Health Organization grade II astrocytoma (AS) from the more prognostically favorable grade II oligodendroglioma (OD). Since mixed oligoastrocytomas (OAs) with codeletions in chromosomes 1p and 19q confer prognoses similar to those of OD, we questioned whether a previously determined ADC-based criterion for distinguishing OD and AS would hold on an independent set of gliomas that included OA with codeleted or intact 1p/19q chromosomes. We also questioned whether the ADC is associated with the tumor microstructure. ADC colormaps generated from presurgical DTI scans were used to guide the collection of biopsies from each tumor. The median normalized ADC distinguished OD from AS with 91% sensitivity and 92% specificity. 1p/19q codeleted OAs were always classified as ODs, while 1p/19q intact OAs were always classified as ASs. There were positive associations between the ADC and both the SMI-31 score of axonal disruption and the fraction of tumor cells in the biopsies. The ADC of OD and 1p/19q codeleted OA was more associated with tumor fraction, while the ADC of AS and 1p/19q intact OA was more associated with SMI-31 score. We conclude that our previously determined threshold median ADC can distinguish grade II OD and AS on a new patient cohort and that the distinctions extend to OA with codeleted and intact 1p/19q chromosomes. Further, the ADC in grade II gliomas is associated with the fraction of tumor cells and degree of axonal disruption in tumor subregions.

Indexed as

Diffusion Magnetic Resonance ImagingAdultAgedAged, 80 and overAstrocytomaBrain NeoplasmsChromosome DeletionChromosomes, Human, Pair 1Chromosomes, Human, Pair 19Cohort StudiesFemaleHumansMaleMiddle AgedNeoplasm GradingOligodendroglioma

Identifiers

PMID21865401
PMCPMC3199150
OpenAlexW2098362298

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.