Comparison of the Diagnostic Accuracy of Mammogram-based Deep Learning and Traditional Breast Cancer Risk Models in Patients Who Underwent Supplemental Screening with MRI-Reference-Cited by-同舟云学术

Comparison of the Diagnostic Accuracy of Mammogram-based Deep Learning and Traditional Breast Cancer Risk Models in Patients Who Underwent Supplemental Screening with MRI

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

Author:

Lamb Leslie R.¹^ORCID,Mercaldo Sarah F.¹^ORCID,Ghaderi Kimeya¹^ORCID,Carney Andrew¹,Lehman Constance D.¹^ORCID

Affiliation:

1. From the Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114-2696.

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.223077

Reference26 articles.

1. Patterns of Breast Magnetic Resonance Imaging Use in Community Practice

2. Risk Stratification for Screening Mammography: Benefits and Harms

3. Assessing Risk of Breast Cancer: A Review of Risk Prediction Models

4. Mammographic breast density refines Tyrer-Cuzick estimates of breast cancer risk in high-risk women: findings from the placebo arm of the International Breast Cancer Intervention Study I

5. Breast Cancer Screening in Women at Higher-Than-Average Risk: Recommendations From the ACR

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