Literature DB >> 12791407

A computer model for the study of breast cancer.

Kimbroe J Carter1, Frank Castro, Edward Kessler, Barbara Erickson.   

Abstract

A computer model was designed as a relational database to assess breast cancer screening in a cohort of women where the growth and development of breast cancer originates with the first malignant cell. The concepts of thresholds for growth, axillary spread, and distant sites are integrated. With tumor diagnosis, staging was performed that includes clinical and sub-clinical states. The model was parameterized to have staging characteristics similar to data published by the Surveillance, Epidemiology, and End-Results (SEER) Program. Validation was accomplished by comparing simulated staging results with non-SEER sources, and simulated survival with independent clinical survival data.

Entities:  

Mesh:

Year:  2003        PMID: 12791407     DOI: 10.1016/s0010-4825(03)00003-9

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  Early data from the first population-wide breast cancer-specific registry in Hong Kong.

Authors:  Polly Cheung; W K Hung; Catherine Cheung; Amy Chan; T T Wong; Lawrence Li; Sharon W W Chan; K W Chan; Peter Choi; W H Kwan; C C Yau; Emily Y Y Chan; Stephen C K Law; Daisy Kwan
Journal:  World J Surg       Date:  2012-04       Impact factor: 3.352

2.  Breast alert: an on-line tool for predicting the lifetime risk of women breast cancer.

Authors:  Joel J P C Rodrigues; Nuno Reis; José A F Moutinho; Isabel de la Torre
Journal:  J Med Syst       Date:  2010-10-02       Impact factor: 4.460

Review 3.  Calibration methods used in cancer simulation models and suggested reporting guidelines.

Authors:  Natasha K Stout; Amy B Knudsen; Chung Yin Kong; Pamela M McMahon; G Scott Gazelle
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.