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Breast cancer tumor growth estimated through mammography screening data

INTRODUCTION: Knowledge of tumor growth is important in the planning and evaluation of screening programs, clinical trials, and epidemiological studies. Studies of tumor growth rates in humans are usually based on small and selected samples. In the present study based on the Norwegian Breast Cancer...

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Autores principales: Weedon-Fekjær, Harald, Lindqvist, Bo H, Vatten, Lars J, Aalen, Odd O, Tretli, Steinar
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2481488/
https://www.ncbi.nlm.nih.gov/pubmed/18466608
http://dx.doi.org/10.1186/bcr2092
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author Weedon-Fekjær, Harald
Lindqvist, Bo H
Vatten, Lars J
Aalen, Odd O
Tretli, Steinar
author_facet Weedon-Fekjær, Harald
Lindqvist, Bo H
Vatten, Lars J
Aalen, Odd O
Tretli, Steinar
author_sort Weedon-Fekjær, Harald
collection PubMed
description INTRODUCTION: Knowledge of tumor growth is important in the planning and evaluation of screening programs, clinical trials, and epidemiological studies. Studies of tumor growth rates in humans are usually based on small and selected samples. In the present study based on the Norwegian Breast Cancer Screening Program, tumor growth was estimated from a large population using a new estimating procedure/model. METHODS: A likelihood-based estimating procedure was used, where both tumor growth and the screen test sensitivity were modeled as continuously increasing functions of tumor size. The method was applied to cancer incidence and tumor measurement data from 395,188 women aged 50 to 69 years. RESULTS: Tumor growth varied considerably between subjects, with 5% of tumors taking less than 1.2 months to grow from 10 mm to 20 mm in diameter, and another 5% taking more than 6.3 years. The mean time a tumor needed to grow from 10 mm to 20 mm in diameter was estimated as 1.7 years, increasing with age. The screen test sensitivity was estimated to increase sharply with tumor size, rising from 26% at 5 mm to 91% at 10 mm. Compared with previously used Markov models for tumor progression, the applied model gave considerably higher model fit (85% increased predictive power) and provided estimates directly linked to tumor size. CONCLUSION: Screening data with tumor measurements can provide population-based estimates of tumor growth and screen test sensitivity directly linked to tumor size. There is a large variation in breast cancer tumor growth, with faster growth among younger women.
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spelling pubmed-24814882008-07-24 Breast cancer tumor growth estimated through mammography screening data Weedon-Fekjær, Harald Lindqvist, Bo H Vatten, Lars J Aalen, Odd O Tretli, Steinar Breast Cancer Res Research Article INTRODUCTION: Knowledge of tumor growth is important in the planning and evaluation of screening programs, clinical trials, and epidemiological studies. Studies of tumor growth rates in humans are usually based on small and selected samples. In the present study based on the Norwegian Breast Cancer Screening Program, tumor growth was estimated from a large population using a new estimating procedure/model. METHODS: A likelihood-based estimating procedure was used, where both tumor growth and the screen test sensitivity were modeled as continuously increasing functions of tumor size. The method was applied to cancer incidence and tumor measurement data from 395,188 women aged 50 to 69 years. RESULTS: Tumor growth varied considerably between subjects, with 5% of tumors taking less than 1.2 months to grow from 10 mm to 20 mm in diameter, and another 5% taking more than 6.3 years. The mean time a tumor needed to grow from 10 mm to 20 mm in diameter was estimated as 1.7 years, increasing with age. The screen test sensitivity was estimated to increase sharply with tumor size, rising from 26% at 5 mm to 91% at 10 mm. Compared with previously used Markov models for tumor progression, the applied model gave considerably higher model fit (85% increased predictive power) and provided estimates directly linked to tumor size. CONCLUSION: Screening data with tumor measurements can provide population-based estimates of tumor growth and screen test sensitivity directly linked to tumor size. There is a large variation in breast cancer tumor growth, with faster growth among younger women. BioMed Central 2008 2008-05-08 /pmc/articles/PMC2481488/ /pubmed/18466608 http://dx.doi.org/10.1186/bcr2092 Text en Copyright © 2008 Weedon-Fekjær et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Weedon-Fekjær, Harald
Lindqvist, Bo H
Vatten, Lars J
Aalen, Odd O
Tretli, Steinar
Breast cancer tumor growth estimated through mammography screening data
title Breast cancer tumor growth estimated through mammography screening data
title_full Breast cancer tumor growth estimated through mammography screening data
title_fullStr Breast cancer tumor growth estimated through mammography screening data
title_full_unstemmed Breast cancer tumor growth estimated through mammography screening data
title_short Breast cancer tumor growth estimated through mammography screening data
title_sort breast cancer tumor growth estimated through mammography screening data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2481488/
https://www.ncbi.nlm.nih.gov/pubmed/18466608
http://dx.doi.org/10.1186/bcr2092
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