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 | MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics |
| Subtitle of host publication | Building Sustainable Health Systems |
| Publisher | IOS Press |
| Pages | 78-81 |
| Number of pages | 4 |
| ISBN (Print) | 9781586037741 |
| State | Published - 2007 |
| Externally published | Yes |
| Event | 12th World Congress on Medical Informatics, MEDINFO 2007 - Brisbane, QLD, Australia Duration: 20 08 2007 → 24 08 2007 |
Publication series
| Name | Studies in Health Technology and Informatics |
|---|---|
| Volume | 129 |
| ISSN (Print) | 0926-9630 |
| ISSN (Electronic) | 1879-8365 |
Conference
| Conference | 12th World Congress on Medical Informatics, MEDINFO 2007 |
|---|---|
| Country/Territory | Australia |
| City | Brisbane, QLD |
| Period | 20/08/07 → 24/08/07 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- breast cancer
- modality
- screening
- stochastic model
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