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New models and online calculator for predicting non-sentinel lymph node status in sentinel lymph node positive breast cancer patients.

Authors
  • Kohrt, Holbrook E1
  • Olshen, Richard A
  • Bermas, Honnie R
  • Goodson, William H
  • Wood, Douglas J
  • Henry, Solomon
  • Rouse, Robert V
  • Bailey, Lisa
  • Philben, Vicki J
  • Dirbas, Frederick M
  • Dunn, Jocelyn J
  • Johnson, Denise L
  • Wapnir, Irene L
  • Carlson, Robert W
  • Stockdale, Frank E
  • Hansen, Nora M
  • Jeffrey, Stefanie S
  • 1 Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA. [email protected]
Type
Published Article
Journal
BMC Cancer
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Mar 04, 2008
Volume
8
Pages
66–66
Identifiers
DOI: 10.1186/1471-2407-8-66
PMID: 18315887
Source
Medline
License
Unknown

Abstract

We present a new model developed from a community-based SLN database that uses only three rather than eight variables to achieve higher accuracy than the Nomogram for predicting NSLN status in two different datasets.

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