Multiple detection modalities and disease natural history of breast cancer

Tony Hsiu Hsi Chen*, Amy Ming Fang Yen, Grace Hui Min Wu, Li Sheng Chen, Yueh Hsia Chiu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Multiple detection modalities have increasingly gained attention in population-based screening. However, the disease natural history and its efficacy have been barely addressed. We reviewed a series of articles addressing multiple detection modalities including mammography, ultrasound and magnetic resonance image between 1995 and 2005. A stochastic model was developed to estimate transition parameters pertaining to the disease natural history defined by multiple detection modalities. The effectiveness of the combination of ultrasound or magnetic resonance image (MRI) with mammography was projected using a series of computer simulation models. The results indicated that multiple detection modalities may lead to reduced mortality. However, the benefit and the selection of detection modalities are affected by biological factors including age, breast tissue type and histological type. In addition, other social factors may also affect the utilization of multiple detection modalities.

Original languageEnglish
Title of host publicationMEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics
Subtitle of host publicationBuilding Sustainable Health Systems
PublisherIOS Press
Pages78-81
Number of pages4
ISBN (Print)9781586037741
StatePublished - 2007
Externally publishedYes
Event12th World Congress on Medical Informatics, MEDINFO 2007 - Brisbane, QLD, Australia
Duration: 20 08 200724 08 2007

Publication series

NameStudies in Health Technology and Informatics
Volume129
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference12th World Congress on Medical Informatics, MEDINFO 2007
Country/TerritoryAustralia
CityBrisbane, QLD
Period20/08/0724/08/07

Keywords

  • breast cancer
  • modality
  • screening
  • stochastic model

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