Evidence map›Paper›PMID 32900617›Full record

ReviewClinical breast cancer2021

MR Elastography of the Breast: Evolution of Technique, Case Examples, and Future Directions.

Bhavika K Patel, Naziya Samreen, Yuxiang Zhou, Jun Chen, Kathy Brandt, Richard Ehman, Kay Pepin

Open access · greenAbstract readReview
In one paragraph

Review in Clinical breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. 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
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Review
  12. Non-contrast Breast MR Imaging.Radiologic clinics of North America · 2024
    Review
  13. Review
  14. Article
  15. Imaging in translational cancer research.Cancer biology & medicine · 2022
    Review
  16. Article
  17. Breast Cancer-How Can Imaging Help?Healthcare (Basel, Switzerland) · 2022
    Review
  18. Review
  19. Review
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

7 authors at 2 institutions in 1 country.

Bhavika K PatelDepartment of Radiology, Mayo Clinic, Phoenix, AZ. Electronic address: patel.bhavika@mayo.edu.
Naziya SamreenDepartment of Radiology, Mayo Clinic, Rochester, MN.
Yuxiang ZhouDepartment of Radiology, Mayo Clinic, Phoenix, AZ.
Jun ChenDepartment of Radiology, Mayo Clinic, Rochester, MN.
Kathy BrandtDepartment of Radiology, Mayo Clinic, Rochester, MN.
Richard EhmanDepartment of Radiology, Mayo Clinic, Rochester, MN.
Kay PepinDepartment of Radiology, Mayo Clinic, Rochester, MN.
Mayo Clinic in Arizona · USMayo Clinic Hospital · US

Funding

Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
NIBIB NIH HHS R37 EB001981
6 · The paper itself

Abstract

Recognizing that breast cancers present as firm, stiff lesions, the foundation of breast magnetic resonance elastography (MRE) is to combine tissue stiffness parameters with sensitive breast MR contrast-enhanced imaging. Breast MRE is a non-ionizing, cross-sectional MR imaging technique that provides for quantitative viscoelastic properties, including tissue stiffness, elasticity, and viscosity, of breast tissues. Currently, the technique continues to evolve as research surrounding the use of MRE in breast tissue is still developing. In the setting of a newly diagnosed cancer, associated desmoplasia, stiffening of the surrounding stroma, and necrosis are known to be prognostic factors that can add diagnostic information to patient treatment algorithms. In fact, mechanical properties of the tissue might also influence breast cancer risk. For these reasons, exploration of breast MRE has great clinical value. In this review, we will: (1) address the evolution of the various MRE techniques; (2) provide a brief overview of the current clinical studies in breast MRE with interspersed case examples; and (3) suggest directions for future research.

Indexed as

BreastBreast NeoplasmsElasticity Imaging TechniquesElastic ModulusFemaleHumansImage Processing, Computer-AssistedBreast elasticityBreast imagingBreast MR imagingBreast tissue stiffnessBreast viscosity

Identifiers

PMID32900617
PMCPMC8486355
OpenAlexW3048625953

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.