Evidence map›Paper›PMID 39239077›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2024

Association of mammographic and sonographic findings with prognostic molecular factors and hormone receptor expression in malignant breast lesions.

Mahshid Bahrami, Fatemeh Karami, Ali Hekmatnia, Sepideh Soltani, Pedram Fadavi, Farzaneh Hekmatnia, Andrew Parviz Zarei, Hengameh Nazari

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Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Mahshid BahramiDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Fatemeh KaramiDepartment of Radiology, Shafa Imaging Center, Isfahan, Iran.
Ali HekmatniaDepartment of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Sepideh SoltaniDepartment of Radiation Oncology, Iran University of Medical Sciences, Tehran, Iran.
Pedram FadaviDepartment of Radiation Oncology, Iran University of Medical Sciences, Tehran, Iran.
Farzaneh HekmatniaDepartment of Radiology, Lister Hospital, London, UK.
Andrew Parviz ZareiDepartment of Medicine, The Princess Alexandra Hospital, London, UK.
Hengameh NazariDepartment of Radiology, Mazandaran University of Medical Sciences, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this study was to determine whether mammographic and sonographic features of malignant breast lesions are correlated with tumor histologic grade, hormonal receptor, human epidermal growth factor receptor 2 (HER2), and Ki-67 status. Materials and Methods: In this retrospective study, imaging and histopathological findings of 187 biopsy-proven breast cancer cases from November 2019 to February 2021 were reviewed. The Chi-square test was used to examine the potential correlation between mammographic and sonographic characteristics with histopathological features such as hormonal receptor, HER2 status, Ki-67 labeling index, and histological grade. Results: We observed that microlobulated margin as well as oval/round morphology in mammograms correlate with triple-negative intrinsic subtype ( Conclusion: Mammography and sonography features may reflect the biological behavior of various subtypes of breast cancer and can detect more aggressive breast cancers that can mimic benign or less malignant appearing lesions. These findings may be an excellent predictor for some subtypes like triple-negative breast cancer. Studying the range of these imaging characteristics may help in better understanding the prognosis, choosing a treatment strategy, and predicting response to treatment.

Indexed as

Human epidermal growth factor receptor 2intrinsic subtypeKi-67mammographysonography

Identifiers

PMID39239077
PMCPMC11376722

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