Derived mammographic masking measures based on simulated lesions predict the risk of interval cancer after controlling for known risk factors: a case‐case analysis-Reference-Cited by-同舟云学术

Derived mammographic masking measures based on simulated lesions predict the risk of interval cancer after controlling for known risk factors: a case‐case analysis

Published:2019-02-14 Issue:3 Volume:46 Page:1309-1316
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Hinton Benjamin¹²,Ma Lin³,Mahmoudzadeh Amir Pasha²,Malkov Serghei⁴,Fan Bo¹,Greenwood Heather²,Joe Bonnie²,Lee Vivian⁵,Strand Fredrik⁶⁷,Kerlikowske Karla⁸,Shepherd John⁹

Affiliation:

1. Department of Bioengineering UC‐San Francisco & UC‐Berkeley Joint Program San Francisco CA 94143 USA

2. Department of Radiology and Biomedical Imaging UC‐San Francisco San Francisco CA 94143USA

3. Kaiser Permanente Division of Research Oakland CA 94612 USA

4. Applied Materials Santa Clara CA 95054 USA

5. Research Advocate UCSF Breast Science Advocacy Core San Francisco CA 94143USA

6. Department of Medical Epidemiology and Biostatistics Karolinska Institutet SolnaSweden

7. Department of Thoracic Radiology Karolinska University Hospital SolnaSweden

8. Department of Epidemiology and Biostatistics UCSF San Francisco CA 94143USA

9. University of Hawaii Cancer Center Honolulu HI 96813 USA

Funder

California Breast Cancer Research Program