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

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 populat...

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Main Authors:	Krajc Mateja, Gareth Evans D, Blatnik Ana, Lokar Katarina, Žagar Tina, Tomšič Sonja, Žgajnar Janez, Zadnik Vesna
Format:	Article
Language:	English
Published:	Sciendo 2020-10-01
Series:	Slovenian Journal of Public Health
Subjects:	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
Online Access:	https://doi.org/10.2478/sjph-2020-0027

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spelling	doaj-d409756bf2dc44459e0a187f6a119c662021-09-05T14:01:58ZengSciendoSlovenian Journal of Public Health1854-24762020-10-0159421121810.2478/sjph-2020-0027sjph-2020-0027Screening strategy modification based on personalized breast cancer risk stratification and its implementation in the national guidelines – pilot studyKrajc Mateja0Gareth Evans D1Blatnik Ana2Lokar Katarina3Žagar Tina4Tomšič Sonja5Žgajnar Janez6Zadnik Vesna7Cancer Genetics Clinic, Institute of Oncology Ljubljana, Zaloška 2, 1000Ljubljana, SloveniaDivision of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UKCancer Genetics Clinic, Institute of Oncology Ljubljana, Zaloška 2, 1000Ljubljana, SloveniaDivision of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UKEpidemiology and Cancer Registry, Institute of Oncology Ljubljana, Zaloška 2, 1000Ljubljana, SloveniaEpidemiology and Cancer Registry, Institute of Oncology Ljubljana, Zaloška 2, 1000Ljubljana, SloveniaDepartment of Surgical Oncology, Institute of Oncology Ljubljana, Zaloška 2, 1000Ljubljana, SloveniaEpidemiology and Cancer Registry, Institute of Oncology Ljubljana, Zaloška 2, 1000Ljubljana, SloveniaOne 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.https://doi.org/10.2478/sjph-2020-0027tyrer-cuzick modelbreast cancer risk assessmentpersonalized breast cancer screeningbreast cancertyrer-cuzickov modelocena ogroženosti za raka dojkindividualizirano presejanje za raka dojkrak dojk
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Krajc Mateja Gareth Evans D Blatnik Ana Lokar Katarina Žagar Tina Tomšič Sonja Žgajnar Janez Zadnik Vesna
spellingShingle	Krajc Mateja Gareth Evans D Blatnik Ana Lokar Katarina Žagar Tina Tomšič Sonja Žgajnar Janez Zadnik Vesna Screening strategy modification based on personalized breast cancer risk stratification and its implementation in the national guidelines – pilot study Slovenian Journal of Public Health 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
author_facet	Krajc Mateja Gareth Evans D Blatnik Ana Lokar Katarina Žagar Tina Tomšič Sonja Žgajnar Janez Zadnik Vesna
author_sort	Krajc Mateja
title	Screening strategy modification based on personalized breast cancer risk stratification and its implementation in the national guidelines – pilot study
title_short	Screening strategy modification based on personalized breast cancer risk stratification and its implementation in the national guidelines – pilot study
title_full	Screening strategy modification based on personalized breast cancer risk stratification and its implementation in the national guidelines – pilot study
title_fullStr	Screening strategy modification based on personalized breast cancer risk stratification and its implementation in the national guidelines – pilot study
title_full_unstemmed	Screening strategy modification based on personalized breast cancer risk stratification and its implementation in the national guidelines – pilot study
title_sort	screening strategy modification based on personalized breast cancer risk stratification and its implementation in the national guidelines – pilot study
publisher	Sciendo
series	Slovenian Journal of Public Health
issn	1854-2476
publishDate	2020-10-01
description	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.
topic	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
url	https://doi.org/10.2478/sjph-2020-0027
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Screening strategy modification based on personalized breast cancer risk stratification and its implementation in the national guidelines – pilot study

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