@inproceedings{86f7a100226540f38230c4ebf84cb792,
title = "Multiple detection modalities and disease natural history of breast cancer",
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.",
keywords = "breast cancer, modality, screening, stochastic model",
author = "Chen, {Tony Hsiu Hsi} and Yen, {Amy Ming Fang} and Wu, {Grace Hui Min} and Chen, {Li Sheng} and Chiu, {Yueh Hsia}",
year = "2007",
language = "英语",
isbn = "9781586037741",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "78--81",
booktitle = "MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics",
note = "12th World Congress on Medical Informatics, MEDINFO 2007 ; Conference date: 20-08-2007 Through 24-08-2007",
}