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 language | English |
---|---|
Title of host publication | Studies in Health Technology and Informatics |
Pages | 78-81 |
Number of pages | 4 |
Volume | 129 |
Publication status | Published - 2007 |
Externally published | Yes |
Event | 12th World Congress on Medical Informatics, MEDINFO 2007 - Brisbane, QLD, Australia Duration: Aug 20 2007 → Aug 24 2007 |
Other
Other | 12th World Congress on Medical Informatics, MEDINFO 2007 |
---|---|
Country/Territory | Australia |
City | Brisbane, QLD |
Period | 8/20/07 → 8/24/07 |
Keywords
- breast cancer
- modality
- screening
- stochastic model
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
- Health Information Management