Evidence map›Paper›PMID 24758685›Full record

ArticleAJR. American journal of roentgenology2014

Diffusion-weighted MRI: association between patient characteristics and apparent diffusion coefficients of normal breast fibroglandular tissue at 3 T.

Elizabeth S McDonald, Jennifer G Schopp, Sue Peacock, Wendy B DeMartini, Wendy D DeMartini, Habib Rahbar, Constance D Lehman, Savannah C Partridge

Erratum issuedAbstract read
In one paragraph

Article in AJR. American journal of roentgenology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. A multiparametric [European journal of nuclear medicine and molecular imaging · 2019
    Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. MultiparametricJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Diffusion-weighted breast MRI: Clinical applications and emerging techniques.Journal of magnetic resonance imaging : JMRI · 2017
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

  • Erratum issued
    DeMartini, Wendy D [corrected to DeMartini, Wendy B]
5 · Who and what money

Authors and funding

8 authors.

Elizabeth S McDonald1 Department of Radiology, University of Washington School of Medicine, Seattle Cancer Care Alliance, 825 Eastlake Ave E, G3-200, Seattle, WA 98109-1023.
Jennifer G Schopp
Sue Peacock
Wendy B DeMartini
Wendy D DeMartini
Habib Rahbar
Constance D Lehman
Savannah C Partridge

Funding

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 R01 CA151326NCI NIH HHS R01CA151326
6 · The paper itself

Abstract

objectiveThe purpose of this study is to assess associations between patient characteristics and apparent diffusion coefficient (ADC) values of normal breast fibroglandular tissue on diffusion-weighted imaging (DWI) at 3 T. MATERIALS AND

methodsThe retrospective study included 103 women with negative bilateral findings on 3-T breast MRI examinations (BI-RADS category 1). DWI was acquired during clinical breast MRI scans using b = 0 and b = 800 s/mm(2). Mean ADC of normal breast fibroglandular tissue was calculated for each breast using a semiautomated software tool in which parenchyma pixels were selected by interactive thresholding of the b = 0 s/mm(2) image to exclude fat. Intrasubject right- and left-breast ADC values were compared and averaged together to evaluate the association of mean breast ADC with age, mammographic breast density, and background parenchymal enhancement.

resultsOverall mean ± SD breast ADC was 1.62 ± 0.30 × 10(-3) mm(2)/s. Intrasubject right- and left-breast ADC measurements were highly correlated (R(2) = 0.89; p < 0.0001). Increased breast density was strongly associated with increased ADC (p ≤ 0.0001). Age and background parenchymal enhancement were not associated with ADC.

conclusionNormal breast parenchymal ADC values increase with mammographic density but are independent of age and background parenchymal enhancement. Because breast malignancies have been shown to have low ADC values, DWI may be particularly valuable in women with dense breasts owing to greater contrast between lesion and normal tissue.

Indexed as

Diffusion Magnetic Resonance ImagingAdultAge FactorsBreastFemaleHumansMiddle AgedRetrospective Studies

Identifiers

PMID24758685
PMCPMC4080610

What OpenQuestion holds

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Registered trials

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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.