Evidence map›Paper›PMID 26568982›Full record

ArticleTomography (Ann Arbor, Mich.)2015

Development of a Multiparametric Voxel-Based Magnetic Resonance Imaging Biomarker for Early Cancer Therapeutic Response Assessment.

Craig J Galbán, Benjamin Lemasson, Benjamin A Hoff, Timothy D Johnson, Pia C Sundgren, Christina Tsien, Thomas L Chenevert, Brian D Ross

Open access · goldAbstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. The ability of post-chemoradiotherapy DWI ADCJournal of cancer research and clinical oncology · 2021
    Observational
  3. Article
  4. Article
  5. Preclinical MRI: Studies of the irradiated brain.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2018
    Article
  6. Parametric Response Mapping as an Imaging Biomarker in Lung Transplant Recipients.American journal of respiratory and critical care medicine · 2017
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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 2 institutions in 2 countries.

Craig J GalbánDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Benjamin LemassonDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Benjamin A HoffDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Timothy D JohnsonDepartment of Biostatistics, University of Michigan, Ann Arbor, MI.
Pia C SundgrenDepartment of Radiology, University of Michigan, Ann Arbor, MI ; Faculty of Medicine, Department of Clinical Sciences/Diagnostic Radiology, Lund University, Lund, Sweden.
Christina TsienDepartment of Radiation Oncology, Washington University, St. Louis, MO.
Thomas L ChenevertDepartment of Radiology, University of Michigan, Ann Arbor, MI.
Brian D RossDepartment of Radiology, University of Michigan, Ann Arbor, MI.
University of Michigan–Ann Arbor · USWashington University in St. Louis · US

Funding

QUANTITATION OF HUMAN BRAIN TUMOR THERAPY RESPONSE BY MRP01CA085878 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENEVERT, THOMAS L · 2001 to 2017
$31.9M
Quantitative DW-MRI for Early Breast Cancer Treatment Response AssessmentU01CA166104 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHENEVERT, THOMAS L, GALBAN, CRAIG J · 2012 to 2019
$4.1M
NCI NIH HHS P01 CA085878NCI NIH HHS U01 CA166104
6 · The paper itself

Abstract

Quantitative magnetic resonance imaging (MRI)-based biomarkers, which capture physiological and functional tumor processes, were evaluated as imaging surrogates of early tumor response following chemoradiotherapy in glioma patients. A multiparametric extension of a voxel-based analysis, referred as the parametric response map (PRM), was applied to quantitative MRI maps to test the predictive potential of this metric for detecting response. Fifty-six subjects with newly diagnosed high-grade gliomas treated with radiation and concurrent temozolomide were enrolled in a single-site prospective institutional review board-approved MRI study. Apparent diffusion coefficient (ADC) and relative cerebral blood volume (rCBV) maps were acquired before therapy and 3 weeks after therapy was initiated. Multiparametric PRM (mPRM) was applied to both physiological MRI maps and evaluated as an imaging biomarker of patient survival. For comparison, single-biomarker PRMs were also evaluated in this study. The simultaneous analysis of ADC and rCBV by the mPRM approach was found to improve the predictive potential for patient survival over single PRM measures. With an array of quantitative imaging parameters being evaluated as biomarkers of therapeutic response, mPRM shows promise as a new methodology for consolidating physiologically distinct imaging parameters into a single interpretable and quantitative metric.

Indexed as

gliomaimaging biomarkerparametric response maptreatment response assessment

Identifiers

PMID26568982
PMCPMC4643274
OpenAlexW2178170932

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.