Evidence map›Paper›PMID 32678438›Full record

ArticleNeuro-oncology2021

Value of dynamic contrast perfusion MRI to predict early response to bevacizumab in newly diagnosed glioblastoma: results from ACRIN 6686 multicenter trial.

Kathleen M Schmainda, Melissa A Prah, Helga Marques, Eunhee Kim, Daniel P Barboriak, Jerrold L Boxerman

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Neuro-oncology, 2021. 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
2.3field-weighted citation impact, top 11% 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, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Clinical Translation of HyperpolarizedAJNR. American journal of neuroradiology · 2025
    Review
  4. Article
  5. Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  6. Article
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  8. Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Kathleen M SchmaindaDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin.
Melissa A PrahDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin.
Helga MarquesDepartment of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island.
Eunhee KimMerck Research Laboratories, Kenilworth, New Jersey.
Daniel P BarboriakDuke University Medical Center, Durham, North Carolina.
Jerrold L BoxermanDepartment of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Brown University · USMedical College of Wisconsin · USDuke Medical Center · USMerck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO, CONSTANTINE A. GATSONIS · 2014 to 2026
$111.2M
MRI CONTRAST AGENT METHODS TO ASSESS TUMOR ANGIOGENESISR01CA082500 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI SCHMAINDA, KATHLEEN MARIE · 2000 to 2016
$5.0M
Quantitative (Perfusion and Diffusion) MRI Biomarkers to Measure Glioma ResponseU01CA176110 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI SCHMAINDA, KATHLEEN MARIE · 2014 to 2023
$4.9M
New treatment monitoring biomarkers for brain tumors using multiparametric MRI with machine learningR01CA255123 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI SCHMAINDA, KATHLEEN MARIE · 2021 to 2025
$2.6M
Multi-site Validation and Application of a Consensus DSC MRI ProtocolR01CA221938 · NCI · ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER · PI BOXERMAN, JERROLD L, HU, LELAND · 2018 to 2020
$738k
NCI NIH HHS P30 CA014236NCI NIH HHS R01 CA082500NCI NIH HHS R01 CA255123NCI NIH HHS U01 CA176110NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820
6 · The paper itself

Abstract

backgroundIn Radiation Therapy Oncology Group (RTOG) 0825, a phase III trial of standard therapy with bevacizumab or without (placebo) in newly diagnosed glioblastoma, 44 patients underwent dynamic contrast enhanced (DCE) and/or dynamic susceptibility contrast (DSC) MRI in the American College of Radiology Imaging Network (ACRIN) trial 6686. The association between early changes in relative cerebral blood volume (rCBV) and volume transfer constant (Ktrans) with overall survival (OS) was evaluated.

methodsMRI was performed at postop baseline (S0), immediately before (S1), 1 day after (S2), and 7 weeks after (S3) bevacizumab or placebo initiation. Mean normalized and standardized rCBV (nRCBV, sRCBV) and Ktrans were measured within contrast-enhancing lesion. Wilcoxon rank sum tests compared parameter changes from S1-S2 and S1-S3. Association with OS and progression-free survival (PFS) were determined using Kaplan-Meier and log-rank tests. Treatment response for groups stratified by pretreatment nRCBV (S0, S1) was explored. The intraclass correlation coefficient and repeatability coefficient for the placebo arm (S1-S2) were used to assess repeatability.

resultsEvaluable were 27-36 datasets per time point. Significant differences between treatment arms were found for changes in nRCBV and sRCBV from S1-S2 and S1-S3, and in Ktrans for S1-S3. Improved PFS (P = 0.05) but not OS (P = 0.46) was observed. High pretreatment rCBV predicted improved OS for bevacizumab-treated patients. Based on the intraclass correlation coefficient, sRCBV (0.92) was more repeatable than nRCBV (0.71) and Ktrans (0.75), consistent with repeatability coefficient values.

conclusionsBevacizumab significantly changes rCBV but not Ktrans as early as 1 day posttreatment in newly diagnosed glioblastoma unrelated to outcomes. Improvements in clinical trial design to maximize rCBV benefit are indicated.

Indexed as

Brain NeoplasmsGlioblastomaBevacizumabContrast MediaHumansMagnetic Resonance ImagingPerfusionBevacizumabContrast Mediabevacizumabbrain tumorclinical trialKtransrCBV

Identifiers

PMID32678438
PMCPMC7906067
OpenAlexW3043182175

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.