Lymph nodes in colorectal carcinoma. The Poisson probability paradigm.

Published

Journal Article

This article introduces use of the Poisson probability density function and Bayes probability rule to understand and analyze lymph nodal metastases in colorectal carcinoma. We apply these models to 370 patients who underwent resection of their tumors. In 213 cases with negative lymph nodes, we found that the Bayes-estimated probability of missed metastases was related significantly to subsequent survival (P = .0006). In 157 cases with lymph nodal metastases, we found that the estimated value of the Poisson parameter a was associated more closely with subsequent survival than pN stage (P = 9 10(-6)). Consequently, we believe that the Poisson model provides insight and useful results in colorectal carcinoma.

Full Text

Duke Authors

Cited Authors

  • Turner, J; Vollmer, RT

Published Date

  • June 2006

Published In

Volume / Issue

  • 125 / 6

Start / End Page

  • 866 - 872

PubMed ID

  • 16690486

Pubmed Central ID

  • 16690486

International Standard Serial Number (ISSN)

  • 0002-9173

Digital Object Identifier (DOI)

  • 10.1309/35AE-PKTA-AGUT-HQKQ

Language

  • eng

Conference Location

  • England