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Breast Cancer Risk Based on Adapted IBIS Prediction Model in Slovenian Women Aged 40–49 Years - Could it be Better?

BACKGROUND: The aim of the study was to assess the proportion of women that would be classified as at above-average risk of breast cancer based on the 10 year-risk prediction of the Slovenian breast cancer incidence rate (S-IBIS) program in two presumably above-average breast cancer risk populations...

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Autores principales: Oblak, Tjasa, Zadnik, Vesna, Krajc, Mateja, Lokar, Katarina, Zgajnar, Janez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sciendo 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409597/
https://www.ncbi.nlm.nih.gov/pubmed/32614783
http://dx.doi.org/10.2478/raon-2020-0040
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author Oblak, Tjasa
Zadnik, Vesna
Krajc, Mateja
Lokar, Katarina
Zgajnar, Janez
author_facet Oblak, Tjasa
Zadnik, Vesna
Krajc, Mateja
Lokar, Katarina
Zgajnar, Janez
author_sort Oblak, Tjasa
collection PubMed
description BACKGROUND: The aim of the study was to assess the proportion of women that would be classified as at above-average risk of breast cancer based on the 10 year-risk prediction of the Slovenian breast cancer incidence rate (S-IBIS) program in two presumably above-average breast cancer risk populations in age group 40-49 years: (i) women referred for any reason to diagnostic breast centres and (ii) women who were diagnosed with breast cancer aged 40–49 years. Breast cancer is the commonest female cancer in Slovenia, with an incidence rate below European average. The Tyrer-Cuzick breast cancer risk assessment algorithm was recently adapted to S-IBIS. In Slovenia a tailored mammographic screening for women at above average risk in age group 40–49 years is considered in the future. S-IBIS is a possible tool to select population at above-average risk of breast cancer for tailored screening. PATIENTS AND METHODS: In 357 healthy women aged 40–49 years referred for any reason to diagnostic breast centres and in 367 female breast cancer patients aged 40–49 years at time of diagnosis 10-years breast cancer risk was calculated using the S-IBIS software. The proportion of women classified as above-average risk of breast cancer was calculated for each subgroup of the study population. RESULTS: 48.7% of women in the Breast centre group and 39.2% of patients in the breast cancer group had above-average 10-year breast cancer risk. Positive family history of breast cancer was more prevalent in the Breast centre group (p < 0.05). CONCLUSIONS: Inclusion of additional risk factors into the S-IBIS is warranted in the populations with breast cancer incidence below European average to reliably stratify women into breast cancer risk groups.
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spelling pubmed-74095972020-09-01 Breast Cancer Risk Based on Adapted IBIS Prediction Model in Slovenian Women Aged 40–49 Years - Could it be Better? Oblak, Tjasa Zadnik, Vesna Krajc, Mateja Lokar, Katarina Zgajnar, Janez Radiol Oncol Research Article BACKGROUND: The aim of the study was to assess the proportion of women that would be classified as at above-average risk of breast cancer based on the 10 year-risk prediction of the Slovenian breast cancer incidence rate (S-IBIS) program in two presumably above-average breast cancer risk populations in age group 40-49 years: (i) women referred for any reason to diagnostic breast centres and (ii) women who were diagnosed with breast cancer aged 40–49 years. Breast cancer is the commonest female cancer in Slovenia, with an incidence rate below European average. The Tyrer-Cuzick breast cancer risk assessment algorithm was recently adapted to S-IBIS. In Slovenia a tailored mammographic screening for women at above average risk in age group 40–49 years is considered in the future. S-IBIS is a possible tool to select population at above-average risk of breast cancer for tailored screening. PATIENTS AND METHODS: In 357 healthy women aged 40–49 years referred for any reason to diagnostic breast centres and in 367 female breast cancer patients aged 40–49 years at time of diagnosis 10-years breast cancer risk was calculated using the S-IBIS software. The proportion of women classified as above-average risk of breast cancer was calculated for each subgroup of the study population. RESULTS: 48.7% of women in the Breast centre group and 39.2% of patients in the breast cancer group had above-average 10-year breast cancer risk. Positive family history of breast cancer was more prevalent in the Breast centre group (p < 0.05). CONCLUSIONS: Inclusion of additional risk factors into the S-IBIS is warranted in the populations with breast cancer incidence below European average to reliably stratify women into breast cancer risk groups. Sciendo 2020-07-02 /pmc/articles/PMC7409597/ /pubmed/32614783 http://dx.doi.org/10.2478/raon-2020-0040 Text en © 2020 Tjasa Oblak, Vesna Zadnik, Mateja Krajc, Katarina Lokar, Janez Zgajnar, published by Sciendo http://creativecommons.org/licenses/by-nc-nd/3.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
spellingShingle Research Article
Oblak, Tjasa
Zadnik, Vesna
Krajc, Mateja
Lokar, Katarina
Zgajnar, Janez
Breast Cancer Risk Based on Adapted IBIS Prediction Model in Slovenian Women Aged 40–49 Years - Could it be Better?
title Breast Cancer Risk Based on Adapted IBIS Prediction Model in Slovenian Women Aged 40–49 Years - Could it be Better?
title_full Breast Cancer Risk Based on Adapted IBIS Prediction Model in Slovenian Women Aged 40–49 Years - Could it be Better?
title_fullStr Breast Cancer Risk Based on Adapted IBIS Prediction Model in Slovenian Women Aged 40–49 Years - Could it be Better?
title_full_unstemmed Breast Cancer Risk Based on Adapted IBIS Prediction Model in Slovenian Women Aged 40–49 Years - Could it be Better?
title_short Breast Cancer Risk Based on Adapted IBIS Prediction Model in Slovenian Women Aged 40–49 Years - Could it be Better?
title_sort breast cancer risk based on adapted ibis prediction model in slovenian women aged 40–49 years - could it be better?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409597/
https://www.ncbi.nlm.nih.gov/pubmed/32614783
http://dx.doi.org/10.2478/raon-2020-0040
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