Modeling the Natural History and Detection of Lung Cancer Based on Smoking Behavior

dc.citation.firstpagee93430
dc.citation.issueNumber4
dc.citation.journalTitlePLoS One
dc.citation.volumeNumber9
dc.contributor.authorChen, Xing
dc.contributor.authorFoy, Millennia
dc.contributor.authorKimmel, Marek
dc.contributor.authorGorlova, Olga Y.
dc.date.accessioned2014-08-01T19:09:21Z
dc.date.available2014-08-01T19:09:21Z
dc.date.issued2014
dc.description.abstractIn this study, we developed a method for modeling the progression and detection of lung cancer based on the smoking behavior at an individual level. The model allows obtaining the characteristics of lung cancer in a population at the time of diagnosis. Lung cancer data from Surveillance, Epidemiology and End Results (SEER) database collected between 2004 and 2008 were used to fit the lung cancer progression and detection model. The fitted model combined with a smoking based carcinogenesis model was used to predict the distribution of age, gender, tumor size, disease stage and smoking status at diagnosis and the results were validated against independent data from the SEER database collected from 1988 to 1999. The model accurately predicted the gender distribution and median age of LC patients of diagnosis, and reasonably predicted the joint tumor size and disease stage distribution.
dc.identifier.citationChen, Xing, Foy, Millennia, Kimmel, Marek, et al.. "Modeling the Natural History and Detection of Lung Cancer Based on Smoking Behavior." <i>PLoS One,</i> 9, no. 4 (2014) Public Library of Science: e93430. http://dx.doi.org/10.1371/journal.pone.0093430.
dc.identifier.doihttp://dx.doi.org/10.1371/journal.pone.0093430
dc.identifier.urihttps://hdl.handle.net/1911/76317
dc.language.isoeng
dc.publisherPublic Library of Science
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleModeling the Natural History and Detection of Lung Cancer Based on Smoking Behavior
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
journal.pone.0093430-1.pdf
Size:
1.07 MB
Format:
Adobe Portable Document Format
Description: