Evidence map›Paper›PMID 21036812›Full record

ArticleNeuro-oncology2011

Assessment of perfusion MRI-derived parameters in evaluating and predicting response to antiangiogenic therapy in patients with newly diagnosed glioblastoma.

Emma Essock-Burns, Janine M Lupo, Soonmee Cha, Mei-Yin Polley, Nicholas A Butowski, Susan M Chang, Sarah J Nelson

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 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. T(1)- and T(2)(*)-dominant extravasation correction in DSC-MRI: part II-predicting patient outcome after a single dose of cediranib in recurrent glioblastoma patients.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2011
    Trial
  6. The Use ofDiagnostics (Basel, Switzerland) · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. An Update on the Approach to the Imaging of Brain Tumors.Current neurology and neuroscience reports · 2017
    Review
  14. Investigating tumor perfusion by hyperpolarizedMagnetic resonance in medicine · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Lessons from anti-vascular endothelial growth factor and anti-vascular endothelial growth factor receptor trials in patients with glioblastoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2015
    Article
  19. Article
  20. Review
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

7 authors at 2 institutions in 1 country.

Emma Essock-BurnsDepartment of Radiology and Biomedical Imaging, University of California-San Francisco, UCSF Mail Code 2532, Byers Hall Room #303, 1700 4th Street, San Francisco, CA 94158-0223, USA. emma.essock-burns@radiology.ucsf.edu
Janine M Lupo
Soonmee Cha
Mei-Yin Polley
Nicholas A Butowski
Susan M Chang
Sarah J Nelson
University of California, San Francisco · USNeurological Surgery · US

Funding

MR Metabolic Markers for Evaluation of Patients with Recurrent GliomaR01CA127612 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LI, YAN · 2008 to 2017
$3.8M
NCI NIH HHS P01 CA11816NCI NIH HHS R01 CA127612
6 · The paper itself

Abstract

The paradigm for treating patients with glioblastoma multiforme (GBM) is shifting from a purely cytotoxic approach to one that incorporates antiangiogenic agents. These are thought to normalize the tumor vasculature and have shown improved disease management in patients with recurrent disease. How this vascular remodeling evolves during the full course of therapy for patients with newly diagnosed GBM and how it relates to radiographic response and outcome remain unclear. In this study, we examined 35 patients who were newly diagnosed with GBM using dynamic susceptibility contrast (DSC) MRI in order to identify early predictors of radiographic response to antiangiogenic therapy and to evaluate changes in perfusion parameters that may be predictive of progression. After surgical resection, patients received enzastaurin and temozolomide, both concurrent with and adjuvant to radiotherapy. Perfusion parameters, peak height (PH) and percent recovery, were calculated from the dynamic curves to assess vascular density and leakage. Six-month radiographic responders showed a significant improvement in percent recovery between baseline and 2 months into therapy, whereas 6-month radiographic nonresponders showed significantly increased PH between baseline and 1 month. At 2 months into therapy, percent recovery was predictive of progression-free survival. Four months prior to progression, there was a significant increase in the standard deviation of percent recovery within the tumor region. DSC perfusion imaging provides valuable information about vascular remodeling during antiangiogenic therapy, which may aid clinicians in identifying patients who will respond at the pretherapy scan and as an early indicator of response to antiangiogenic therapy.

Indexed as

Magnetic Resonance ImagingAntineoplastic Agents, AlkylatingBrain NeoplasmsChemotherapy, AdjuvantCombined Modality TherapyDacarbazineDisease ProgressionGlioblastomaHumansImage Processing, Computer-AssistedIndolesPerfusionRadiotherapy, AdjuvantSurvival RateTemozolomideTreatment OutcomeAntineoplastic Agents, AlkylatingDacarbazineenzastaurinIndolesTemozolomide

Identifiers

PMID21036812
PMCPMC3018901
OpenAlexW2148233336

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.