Evidence map›Paper›PMID 40887883›Full record

ArticleNMR in biomedicine2025

Differentiating Breast Tissue Stiffness With Magnetic Resonance Elastography (MRE): A Focus on Fibroglandular and Fatty Tissues.

Areej S Aloufi, Abdullah H Abujamea, Faisal S Fakhouri, Salman M Albeshan, Nora A Alohaly, Reem A Sabir, Abeer M Aldawsari, Reham S Altokhais, Mehreen A Malik, Ashwag R Alruwaili

Abstract read
In one paragraph

Article in NMR in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

10 authors.

Areej S AloufiRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0002-6646-6378
Abdullah H AbujameaDepartment of Radiology and Medical Imaging, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Faisal S FakhouriDepartment of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0002-1185-8067
Salman M AlbeshanRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Nora A AlohalyRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Reem A SabirDepartment of Radiology and Medical Imaging, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Abeer M AldawsariRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Reham S AltokhaisRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Mehreen A MalikDepartment of Radiology and Medical Imaging, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Ashwag R AlruwailiRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0003-1495-6882

Funding

Deanship of Scientific Research, Ongoing Research Funding program ORF-2025-1352
6 · The paper itself

Abstract

Breast density is a recognized risk factor for breast cancer and can affect the sensitivity of mammography. Consequently, magnetic resonance imaging (MRI) is recommended as a screening modality for women with increased breast density. However, mammography remains the primary method for assessing a woman's breast density classification. magnetic resonance elastography (MRE) is a new technique to evaluate tissue stiffness characteristics. This study aims to evaluate the ability of MRE to distinguish between fibroglandular and fatty tissues in normal women with different breast densities, potentially aiding in the classification of breast density using MRI. Forty-three women aged 40-79 years with normal screening mammograms were included in this prospective study. MRE was performed using a 1.5-T MRI scanner, and an in-house passive driver was used to obtain an MRE-capable gradient echo (GRE) sequence, which was integrated into a noncontrast-enhanced breast MRI protocol. MRE images were analyzed to measure stiffness values for fibroglandular and fatty tissue based on regions of interest (ROIs) in both breasts. Differences in mean stiffness between tissue types were assessed; a p-value < 0.05 was considered significant. Fibroglandular tissue exhibited significantly higher stiffness than fatty tissue in both breasts (right breast: 1.55 ± 0.31 kPa vs. 0.82 ± 0.13 kPa, p < 0.001; left breast: 1.46 ± 0.23 kPa vs. 0.81 ± 0.11 kPa, p < 0.001). Comparison between dense and nondense groups on mammograms revealed no significant difference in stiffness for the same tissue types in both breasts. MRE can potentially differentiate between fibroglandular and fatty breast tissues based on shear stiffness, independent of mammographic density. Future research with larger cohorts, including cancer cases, is needed to further establish MRE's role in breast cancer screening.

Indexed as

Adipose TissueBreastElasticity Imaging TechniquesMagnetic Resonance ImagingAdultAgedBreast DensityDiagnosis, DifferentialFemaleHumansMiddle Agedbreast cancer screeningbreast densityfatty tissuefibroglandular tissuemagnetic resonance elastography (MRE)MRItissue characterizationtissue shear stiffness

Identifiers

PMID40887883
PMCPMC12399920

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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.