<abstract xmlns="http://www.w3.org/1999/xhtml">

<sec id="j_sjph-2020-0027_s_005">
<h3>Background</h3>
<p>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 &lt;50 with higher BC risk, since no organized BC screening is available for these women.</p></sec>
<sec id="j_sjph-2020-0027_s_006">
<h3>Methods</h3>
<p>Slovenian age-specific BC risks were incorporated into IBIS software and threshold values of risk categories were determined. Risk categories were assigned according to the individual’s ten-year risk for women aged 40 and older, and lifetime risk for women between 20 and 39. To test the software, we compared screening strategies with the use vs. no use of IBIS.</p></sec>
<sec id="j_sjph-2020-0027_s_007">
<h3>Results</h3>
<p>Of the 197 women included in the study IBIS assigned 75.1% to the BC risk group, and the rest to the moderately increased risk. Without IBIS 80 women were offered mammographic and 33 ultrasound screening. In contrast, 28 instead of 80 would have been offered mammographic screening and there would have been no referrals for ultrasound if IBIS had been used.</p></sec>
<sec id="j_sjph-2020-0027_s_008">
<h3>Conclusions</h3>
<p>The Slovenian IBIS has been developed, tested and suggested for personalized breast cancer risk assessment. The implementation of the software with the consideration of Slovenian risk thresholds enables a more accurate and nationally unified assessment.</p></sec></abstract>

Background
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.

Methods
Slovenian age-specific BC risks were incorporated into IBIS software and threshold values of risk categories were determined. Risk categories were assigned according to the individual’s ten-year risk for women aged 40 and older, and lifetime risk for women between 20 and 39. To test the software, we compared screening strategies with the use vs. no use of IBIS.

Results
Of the 197 women included in the study IBIS assigned 75.1% to the BC risk group, and the rest to the moderately increased risk. Without IBIS 80 women were offered mammographic and 33 ultrasound screening. In contrast, 28 instead of 80 would have been offered mammographic screening and there would have been no referrals for ultrasound if IBIS had been used.

Conclusions
The Slovenian IBIS has been developed, tested and suggested for personalized breast cancer risk assessment. The implementation of the software with the consideration of Slovenian risk thresholds enables a more accurate and nationally unified assessment.

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

Slovenian Journal of Public Health

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Spremenjeni model presejanja glede na izračun individualizirane ogroženosti za raka dojk in možna implementacija presejanja glede na kategorijo ogroženosti v državne smernice – pilotna raziskava

Background
One of the most consistent models for estimating personalized breast cancer (BC) risk is the Tyrer-Cuzick algorithm that is incorporated into the...

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

Article Category: Research Article

Data publikacji: 18 paź 2020

Zakres stron: 211 - 218

Otrzymano: 24 mar 2020

Przyjęty: 31 sie 2020

DOI: https://doi.org/10.2478/sjph-2020-0027

Słowa kluczowe
Tyrer-Cuzick model, breast cancer risk assessment, personalized breast cancer screening, breast cancer

© 2020 National Institute of Public Health, Slovenia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Article Category: Research Article

Data publikacji: 18 paź 2020

Zakres stron: 211 - 218

Otrzymano: 24 mar 2020

Przyjęty: 31 sie 2020

DOI: https://doi.org/10.2478/sjph-2020-0027

Słowa kluczoweTyrer-Cuzick model, breast cancer risk assessment, personalized breast cancer screening, breast cancer

© 2020 National Institute of Public Health, Slovenia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Tyrer-Cuzick model, breast cancer risk assessment, personalized breast cancer screening, breast cancer