Evidence map›Paper›PMID 39669189›Full record

ArticleHealth science reports2024

Magnetic Resonance Elastography for Breast Cancer Diagnosis Through the Assessment of Tissue Biomechanical Properties.

Mohammad Hossein Jamshidi, Aida Karami, Amirhesam Keshavarz, Ali Fatemi, Sepehr Ghanavati

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Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

5 authors.

Mohammad Hossein JamshidiDepartment of Medical Imaging and Radiation Sciences, School of Allied Medical Sciences Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran.ORCID 0000-0001-6060-6424
Aida KaramiDepartment of Medical Imaging and Radiation Sciences, School of Allied Medical Sciences Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran.ORCID 0000-0003-4861-4127
Amirhesam KeshavarzDepartment of Anatomical Science, Faculty of Medicine Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran.ORCID 0000-0001-8911-5661
Ali FatemiDepartment of Physics Jackson State University Jackson Mississippi USA.ORCID 0000-0002-9459-3067
Sepehr GhanavatiDepartment of Medicine, School of Medicine Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Breast cancer and normal breast tissue exhibit different degrees of stiffness, indicating distinct biomechanical properties. Study results reveal that breast cancer tissue is several times stiffer than normal breast tissue. These variations can serve as indicative factors for imaging purposes. Depicting markers can significantly enhance the process of breast cancer diagnosis and treatment. This article provides a brief review of the biomechanical properties of breast cancer tissue, highlighting the role of the magnetic resonance elastography (MRE) technique in utilizing these properties for diagnosing breast cancer. Methods: In breast MRE, low-frequency shear waves are employed to measure breast stiffness. This method not only offers a quantitative diagnosis but also generates an elastogram, determining the stiffness of each area through its colors. Results: MRE represents a diagnostic technique with heightened sensitivity, based on depicting the viscoelasticity properties of breast tissue and describing tumors in terms of biomechanical properties. Combining tissue biomechanical properties, such as tissue stiffness, with contrast-enhanced breast Magnetic Resonance Imaging (MRI) leads to tumor diagnosis. The value of MRE in oncological imaging aims at the early detection of tumors and evaluating the prognosis of breast cancer. Conclusion: Breast MRE can identify the reduction of interstitial pressure in tumors by detecting changes in tissue stiffness, making it an effective tool for monitoring treatment responses. This technique is safe, repeatable, and highly precise, significantly aiding in patient screening.

Indexed as

breast cancercancer biomechanical propertiesmagnetic resonance elastographystiffness

Identifiers

PMID39669189
PMCPMC11635177

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