Longitudinal Disease Detection Rates for the Evaluation of Disease Detection Technologies with Application in High-Risk Breast Cancer Screening

Context: This study presents a longitudinal simulation of disease screening at a variety of different test sensitivities. Aims: It is demonstrated that the difference between the performance of high quality tests and poor quality tests are relatively small in terms of the commonly used longitudi...

Full description

Bibliographic Details
Main Author: Jacob Levman
Format: Article
Language:English
Published: JCDR Research and Publications Private Limited 2013-12-01
Series:Journal of Clinical and Diagnostic Research
Subjects:
Online Access:https://jcdr.net/articles/PDF/3794/76-%205693_E(%20_%20)_F(H)_PF1(VH)_PFA(H)_PF1(PUH)_OLF.pdf
id doaj-303dc24f7f6544f9bd1adfb6f03c799c
record_format Article
spelling doaj-303dc24f7f6544f9bd1adfb6f03c799c2020-11-25T03:52:14ZengJCDR Research and Publications Private LimitedJournal of Clinical and Diagnostic Research2249-782X0973-709X2013-12-017122932293510.7860/JCDR/2013/5693.3794Longitudinal Disease Detection Rates for the Evaluation of Disease Detection Technologies with Application in High-Risk Breast Cancer ScreeningJacob Levman0Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK. Imaging Research, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.Context: This study presents a longitudinal simulation of disease screening at a variety of different test sensitivities. Aims: It is demonstrated that the difference between the performance of high quality tests and poor quality tests are relatively small in terms of the commonly used longitudinally measured disease detection rate. Statistical Analysis: This simulation study is focused on the screening of patients at high-risk for breast cancer and thus used plausible rates of new cases of disease and initial disease prevalence for this population. Results and Conclusions: The effects of varying the rate at which the disease enters the population and the initial disease prevalence is also discussed and was determined to not affect this study’s conclusions regarding the inappropriateness of the use of the longitudinally measured disease detection rate for the evaluation of screening technologies.https://jcdr.net/articles/PDF/3794/76-%205693_E(%20_%20)_F(H)_PF1(VH)_PFA(H)_PF1(PUH)_OLF.pdfbreast cancerdisease screeninglongitudinal studiestechnology assessment
collection DOAJ
language English
format Article
sources DOAJ
author Jacob Levman
spellingShingle Jacob Levman
Longitudinal Disease Detection Rates for the Evaluation of Disease Detection Technologies with Application in High-Risk Breast Cancer Screening
Journal of Clinical and Diagnostic Research
breast cancer
disease screening
longitudinal studies
technology assessment
author_facet Jacob Levman
author_sort Jacob Levman
title Longitudinal Disease Detection Rates for the Evaluation of Disease Detection Technologies with Application in High-Risk Breast Cancer Screening
title_short Longitudinal Disease Detection Rates for the Evaluation of Disease Detection Technologies with Application in High-Risk Breast Cancer Screening
title_full Longitudinal Disease Detection Rates for the Evaluation of Disease Detection Technologies with Application in High-Risk Breast Cancer Screening
title_fullStr Longitudinal Disease Detection Rates for the Evaluation of Disease Detection Technologies with Application in High-Risk Breast Cancer Screening
title_full_unstemmed Longitudinal Disease Detection Rates for the Evaluation of Disease Detection Technologies with Application in High-Risk Breast Cancer Screening
title_sort longitudinal disease detection rates for the evaluation of disease detection technologies with application in high-risk breast cancer screening
publisher JCDR Research and Publications Private Limited
series Journal of Clinical and Diagnostic Research
issn 2249-782X
0973-709X
publishDate 2013-12-01
description Context: This study presents a longitudinal simulation of disease screening at a variety of different test sensitivities. Aims: It is demonstrated that the difference between the performance of high quality tests and poor quality tests are relatively small in terms of the commonly used longitudinally measured disease detection rate. Statistical Analysis: This simulation study is focused on the screening of patients at high-risk for breast cancer and thus used plausible rates of new cases of disease and initial disease prevalence for this population. Results and Conclusions: The effects of varying the rate at which the disease enters the population and the initial disease prevalence is also discussed and was determined to not affect this study’s conclusions regarding the inappropriateness of the use of the longitudinally measured disease detection rate for the evaluation of screening technologies.
topic breast cancer
disease screening
longitudinal studies
technology assessment
url https://jcdr.net/articles/PDF/3794/76-%205693_E(%20_%20)_F(H)_PF1(VH)_PFA(H)_PF1(PUH)_OLF.pdf
work_keys_str_mv AT jacoblevman longitudinaldiseasedetectionratesfortheevaluationofdiseasedetectiontechnologieswithapplicationinhighriskbreastcancerscreening
_version_ 1724483581300965376