Multiple detection modalities and disease natural history of breast cancer

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 publicationStudies in Health Technology and Informatics
Pages78-81
Number of pages4
Volume129
Publication statusPublished - 2007
Externally publishedYes
Event12th World Congress on Medical Informatics, MEDINFO 2007 - Brisbane, QLD, Australia
Duration: Aug 20 2007Aug 24 2007

Other

Other12th World Congress on Medical Informatics, MEDINFO 2007
CountryAustralia
CityBrisbane, QLD
Period8/20/078/24/07

Keywords

  • breast cancer
  • modality
  • screening
  • stochastic model

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Chen, T. H. H., Yen, M-F., Wu, G. H. M., Chen, L-S., & Chiu, Y. H. (2007). Multiple detection modalities and disease natural history of breast cancer. In Studies in Health Technology and Informatics (Vol. 129, pp. 78-81)