What is the optimal threshold at which to recommend breast biopsy?

A 2% threshold, traditionally used as a level above which breast biopsy recommended, has been generalized to all patients from several specific situations analyzed in the literature. We use a sequential decision analytic model considering clinical and mammography features to determine the optimal ge...

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Main Authors: Elizabeth S Burnside, Jagpreet Chhatwal, Oguzhan Alagoz
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3492229?pdf=render
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spelling doaj-febf20e612944f3aaf0135724e4e51dd2020-11-25T02:15:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-01711e4882010.1371/journal.pone.0048820What is the optimal threshold at which to recommend breast biopsy?Elizabeth S BurnsideJagpreet ChhatwalOguzhan AlagozA 2% threshold, traditionally used as a level above which breast biopsy recommended, has been generalized to all patients from several specific situations analyzed in the literature. We use a sequential decision analytic model considering clinical and mammography features to determine the optimal general threshold for image guided breast biopsy and the sensitivity of this threshold to variation of these features.We built a decision analytical model called a Markov Decision Process (MDP) model, which determines the optimal threshold of breast cancer risk to perform breast biopsy in order to maximize a patient's total quality-adjusted life years (QALYs). The optimal biopsy threshold is determined based on a patient's probability of breast cancer estimated by a logistic regression model (LRM) which uses demographic risk factors (age, family history, and hormone use) and mammographic findings (described using the established lexicon-BI-RADS). We estimate the MDP model's parameters using SEER data (prevalence of invasive vs. in situ disease, stage at diagnosis, and survival), US life tables (all cause mortality), and the medical literature (biopsy disutility and treatment efficacy) to determine the optimal "base case" risk threshold for breast biopsy and perform sensitivity analysis. The base case MDP model reveals that 2% is the optimal threshold for breast biopsy for patients between 42 and 75 however the thresholds below age 42 is lower (1%) and above age 75 is higher (range of 3-5%). Our sensitivity analysis reveals that the optimal biopsy threshold varies most notably with changes in age and disutility of biopsy.Our MDP model validates the 2% threshold currently used for biopsy but shows this optimal threshold varies substantially with patient age and biopsy disutility.http://europepmc.org/articles/PMC3492229?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Elizabeth S Burnside
Jagpreet Chhatwal
Oguzhan Alagoz
spellingShingle Elizabeth S Burnside
Jagpreet Chhatwal
Oguzhan Alagoz
What is the optimal threshold at which to recommend breast biopsy?
PLoS ONE
author_facet Elizabeth S Burnside
Jagpreet Chhatwal
Oguzhan Alagoz
author_sort Elizabeth S Burnside
title What is the optimal threshold at which to recommend breast biopsy?
title_short What is the optimal threshold at which to recommend breast biopsy?
title_full What is the optimal threshold at which to recommend breast biopsy?
title_fullStr What is the optimal threshold at which to recommend breast biopsy?
title_full_unstemmed What is the optimal threshold at which to recommend breast biopsy?
title_sort what is the optimal threshold at which to recommend breast biopsy?
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description A 2% threshold, traditionally used as a level above which breast biopsy recommended, has been generalized to all patients from several specific situations analyzed in the literature. We use a sequential decision analytic model considering clinical and mammography features to determine the optimal general threshold for image guided breast biopsy and the sensitivity of this threshold to variation of these features.We built a decision analytical model called a Markov Decision Process (MDP) model, which determines the optimal threshold of breast cancer risk to perform breast biopsy in order to maximize a patient's total quality-adjusted life years (QALYs). The optimal biopsy threshold is determined based on a patient's probability of breast cancer estimated by a logistic regression model (LRM) which uses demographic risk factors (age, family history, and hormone use) and mammographic findings (described using the established lexicon-BI-RADS). We estimate the MDP model's parameters using SEER data (prevalence of invasive vs. in situ disease, stage at diagnosis, and survival), US life tables (all cause mortality), and the medical literature (biopsy disutility and treatment efficacy) to determine the optimal "base case" risk threshold for breast biopsy and perform sensitivity analysis. The base case MDP model reveals that 2% is the optimal threshold for breast biopsy for patients between 42 and 75 however the thresholds below age 42 is lower (1%) and above age 75 is higher (range of 3-5%). Our sensitivity analysis reveals that the optimal biopsy threshold varies most notably with changes in age and disutility of biopsy.Our MDP model validates the 2% threshold currently used for biopsy but shows this optimal threshold varies substantially with patient age and biopsy disutility.
url http://europepmc.org/articles/PMC3492229?pdf=render
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