Evidence map›Paper›PMID 26613883›Full record

ReviewMagnetic resonance imaging clinics of North America2016

Multiparametric MR Imaging of Breast Cancer.

Habib Rahbar, Savannah C Partridge

Abstract readReview
In one paragraph

Review in Magnetic resonance imaging clinics of North America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. MR Imaging Features Predictive of Pathologic Complete Response and Survival Outcomes for Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Vaccines in Breast Cancer: Challenges and Breakthroughs.Diagnostics (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

2 authors.

Habib RahbarBreast Imaging Section, Department of Radiology, Seattle Cancer Care Alliance, University of Washington, 825 Eastlake Avenue East, PO Box 19023, Seattle, WA 98109-1023, USA.
Savannah C PartridgeBreast Imaging Section, Department of Radiology, Seattle Cancer Care Alliance, University of Washington, 825 Eastlake Avenue East, PO Box 19023, Seattle, WA 98109-1023, USA. Electronic address: scp3@uw.edu.

Funding

Targeted immunotherapy of breast cancer with central memory T cellsP50CA138293 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PORTER, PEGGY L. · 2010 to 2014
$11.0M
MR Diffusion Tensor Imaging for Detection and Characterization of Breast LesionsR01CA151326 · NCI · UNIVERSITY OF WASHINGTON · PI PARTRIDGE, SAVANNAH CORRINA · 2010 to 2014
$1.3M
NCI NIH HHS P50 CA138293NCI NIH HHS P50CA138293NCI NIH HHS R01 CA151326NCI NIH HHS R01CA151326
6 · The paper itself

Abstract

Breast MR imaging has increased in popularity over the past 2 decades due to evidence of its high sensitivity for cancer detection. Current clinical MR imaging approaches rely on the use of a dynamic contrast-enhanced acquisition that facilitates morphologic and semiquantitative kinetic assessments of breast lesions. The use of more functional and quantitative parameters holds promise to broaden the utility of MR imaging and improve its specificity. Because of wide variations in approaches for measuring these parameters and the considerable technical challenges, robust multicenter data supporting their routine use are not yet available, limiting current applications of many of these tools to research purposes.

Indexed as

Biomarkers, TumorBreast NeoplasmsContrast MediaDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance AngiographyMagnetic Resonance SpectroscopyMolecular ImagingMultimodal ImagingBiomarkers, TumorContrast MediaBreast cancerDiffusion-weighted imagingDynamic contrast enhancedMagnetic resonance spectroscopyMultiparametric breast MR imaging

Identifiers

PMID26613883
PMCPMC4672390

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.