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...
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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 |