Performance of Breast Cancer Risk-Assessment Models in a Large Mammography Cohort

McCarthy A. M., Guan Z., Welch M., Griffin M. E., Sippo D. A., Deng Z., ...More

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, vol.112, no.5, pp.489-497, 2020 (SCI-Expanded, Scopus) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 112 Issue: 5
  • Publication Date: 2020
  • Doi Number: 10.1093/jnci/djz177
  • Journal Name: JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Agricultural & Environmental Science Database, BIOSIS, CAB Abstracts, CINAHL, EMBASE, Food Science & Technology Abstracts, Gender Studies Database, International Pharmaceutical Abstracts, MEDLINE, Public Affairs Index, Veterinary Science Database
  • Page Numbers: pp.489-497
  • Istanbul University Affiliated: Yes

Abstract

Background: Several breast cancer risk-assessment models exist. Few studies have evaluated predictive accuracy of multiple models in large screening populations.