Association of Breast Cancer Odds with Background Parenchymal Enhancement Quantified Using a Fully Automated Method at MRI: The IMAGINE Study-Reference-Cited by-同舟云学术

Association of Breast Cancer Odds with Background Parenchymal Enhancement Quantified Using a Fully Automated Method at MRI: The IMAGINE Study

Published:2023-09-01 Issue:3 Volume:308 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Watt Gordon P.^ORCID,Thakran Snekha^ORCID,Sung Janice S.^ORCID,Jochelson Maxine S.^ORCID,Lobbes Marc B. I.^ORCID,Weinstein Susan P.,Bradbury Angela R.,Buys Saundra S.^ORCID,Morris Elizabeth A.^ORCID,Apte Aditya^ORCID,Patel Prusha^ORCID,Woods Meghan^ORCID,Liang Xiaolin,Pike Malcolm C.^ORCID,Kontos Despina^ORCID,Bernstein Jonine L.

Funder

National Institutes of Health

National Cancer Institute

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.230367

Reference29 articles.

1. Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis

2. Mammographic Density and the Risk and Detection of Breast Cancer

3. Cumulative Advanced Breast Cancer Risk Prediction Model Developed in a Screening Mammography Population

4. Breast Cancer Population Attributable Risk Proportions Associated with Body Mass Index and Breast Density by Race/Ethnicity and Menopausal Status

5. Morris EA, Comstock CE, Lee CH. ACR BI-RADS Magnetic Resonance Imaging. In: ACR BI-RADS Atlas, Breast Imaging Reporting and Data System. Reston, Va: American College of Radiology, 2013.

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4. Investigation of imaging features in contrast-enhanced magnetic resonance imaging of benign and malignant breast lesions;Japanese Journal of Radiology;2024-03-20

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