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Published in: BMC Medical Research Methodology 1/2016

Open Access 01-12-2016 | Research article

Early diagnosis of gestational trophoblastic neoplasia based on trajectory classification with compartment modeling

Authors: Claire Burny, Muriel Rabilloud, François Golfier, Jérôme Massardier, Touria Hajri, Anne-Marie Schott, Fabien Subtil

Published in: BMC Medical Research Methodology | Issue 1/2016

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Abstract

Background

In randomized clinical trials or observational studies, it is common to collect biomarker values longitudinally on a cohort of individuals. The investigators may be interested in grouping individuals that share similar changes of biomarker values and use these groups for diagnosis or therapeutic purposes. However, most classical model-based classification methods rely mainly on empirical models such as splines or polynomials and do not reflect the physiological processes.

Methods

A model-based classification method was developed for longitudinal biomarker measurements through a pharmacokinetic model that describes biomarker changes over time. The method is illustrated using data on human Chorionic Gonadotrophic Hormone measurements after curettage of hydatidiform moles.

Results

The resulting classification was linked to the evolution toward gestational trophoblastic neoplasia and may be used as a tool for early diagnosis. The diagnostic accuracy of the pharmacokinetic model was more reproducible than the one of a purely mathematical model that did not take into account the biological processes.

Conclusion

The use of pharmacokinetic models in model-based classification approaches can lead to clinically useful classifications.
Appendix
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Metadata
Title
Early diagnosis of gestational trophoblastic neoplasia based on trajectory classification with compartment modeling
Authors
Claire Burny
Muriel Rabilloud
François Golfier
Jérôme Massardier
Touria Hajri
Anne-Marie Schott
Fabien Subtil
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Medical Research Methodology / Issue 1/2016
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/s12874-015-0106-y

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