Screening strategy modification based on personalized breast cancer risk stratification and its implementation in the national guidelines – pilot study

Abstract

One of the most consistent models for estimating personalized breast cancer (BC) risk is the Tyrer-Cuzick algorithm that is incorporated into the International Breast Cancer Intervention Study (IBIS) software. Our main objective was to provide criteria for the classification of the Slovenian population, which has BC incidence below the European average, into risk groups, and to evaluate the integration of the criteria in Slovenian guidelines. Our main focus was on women age <50 with higher BC risk, since no organized BC screening is available for these women.

Keywords

• tyrer-cuzick model
• breast cancer risk assessment
• personalized breast cancer screening
• breast cancer
• tyrer-cuzickov model
• ocena ogroženosti za raka dojk
• individualizirano presejanje za raka dojk
• rak dojk