Evidence map›Paper›PMID 27779802›Full record

ArticleJournal of magnetic resonance imaging : JMRI2017

Quantification of breast stiffness using MR elastography at 3 Tesla with a soft sternal driver: A reproducibility study.

Jeffrey R Hawley, Prateek Kalra, Xiaokui Mo, Brian Raterman, Lisa D Yee, Arunark Kolipaka

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Correlation Between Breast Parenchymal Stiffness Measured by 3T Magnetic Resonance Elastography and CT-Derived Hounsfield Units.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  19. Advances and Future Direction of Magnetic Resonance Elastography.Topics in magnetic resonance imaging : TMRI · 2018
    Review
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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

6 authors at 1 institution in 1 country.

Jeffrey R HawleyDepartment of Radiology, The Ohio State University Wexner Medical Center Columbus, Ohio, USA.ORCID 0000-0001-7009-854X
Prateek KalraDepartment of Radiology, The Ohio State University Wexner Medical Center Columbus, Ohio, USA.
Xiaokui MoDepartment of Radiology, The Ohio State University Wexner Medical Center Columbus, Ohio, USA.
Brian RatermanDepartment of Radiology, The Ohio State University Wexner Medical Center Columbus, Ohio, USA.
Lisa D YeeDepartment of Surgical Oncology, The Ohio State University Wexner Medical Center Columbus, Ohio, USA.
Arunark KolipakaDepartment of Radiology, The Ohio State University Wexner Medical Center Columbus, Ohio, USA.
The Ohio State University Wexner Medical Center · US

Funding

Improved Understanding of Abdominal Aortic Aneurysm Progression using MR ElastographyR01HL124096 · NHLBI · OHIO STATE UNIVERSITY · PI KOLIPAKA, ARUNARK · 2015 to 2019
$2.4M
NHLBI NIH HHS R01 HL124096
6 · The paper itself

Abstract

purposePrevious studies of breast MR elastography (MRE) evaluated the technique at magnetic field strengths of 1.5 Tesla (T) with the breast in contact with the driver. The aim of this study is to evaluate breast stiffness measurements and their reproducibility using a soft sternal driver at 3T and compare the results with qualitative measures of breast density. MATERIALS AND

methodsTwenty-two healthy volunteers each underwent two separate breast MRE scans in a 3T MRI. MRE vibrations were introduced into the breasts at 60 Hz using a soft sternal driver and axial slices were collected using a gradient echo MRE sequence. Mean stiffness measurements were calculated for each volunteer as well as a measure of reproducibility using concordance correlation between scans. Mean stiffness values for each volunteer were assessed and related to amounts of fibroglandular tissue (i.e., breast lobules, ducts, and fibrous connective tissue).

resultsThe stiffness values were reproducible with a significant P-value < 0.0001 between two scans with concordance correlation of 0.87 and 0.91 for center slice and grouping all slices, respectively. Volunteers with dense breasts (i.e., higher grades of fibroglandular tissue) had mean stiffness values of 0.96 kPa (center slice) and 0.92 kPa (all slices) while those without dense breasts had mean stiffness values of 0.85 kPa (center slice) and 0.83 kPa (all slices) (P ≤ 0.05).

conclusionBreast MRE is a reproducible technique at 3T using a soft sternal driver. Dense breasts had significantly higher stiffness measurements compared with nondense breasts. LEVEL OF EVIDENCE: 2 J. MAGN. RESON. IMAGING 2017;45:1379-1384.

Indexed as

Magnetic Resonance ImagingAlgorithmsBreastBreast NeoplasmsElasticity Imaging TechniquesElastic ModulusFemaleHealthy VolunteersHumansImage EnhancementImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedReproducibility of Resultsbreast diseasebreast stiffnesselastographyMR elastography

Identifiers

PMID27779802
PMCPMC5395339
OpenAlexW2543382076

What OpenQuestion holds

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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.