Clinical and pathological factors predictive of lymph node status in women with screen-detected breast cancer

P. G. Gill, C. G. Luke, D. M. Roder

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Two thousand one hundred and thirty five asymptomatic invasive breast cancers detected through screening mammography were analysed to identify predictors of lymph node involvement. Multivariable analysis indicated that predictors included larger tumour diameter, an infiltrating ductal or lobular histological type, multifocal disease, a palpable lesion, and a younger age at diagnosis. An association also was found between nodal involvement and the presence of an extensive in situ component (EIC). Grade was associated with nodal involvement as a univariate predictor. It would be more accurate for screening assessment clinics to use models for predicting nodal status that were customised to their own experience rather than generic models developed in other settings that related predominantly to symptomatic cancer. These models could assist clinical decision-making on axillary node dissection and give guidance to pathologists on numbers of tissue sections to examine.

LanguageEnglish
Pages640-648
Number of pages9
JournalBreast
Volume15
Issue number5
DOIs
Publication statusPublished - 1 Jan 2006
Externally publishedYes

Keywords

  • Breast cancer
  • Mammography
  • Nodal status
  • Predictors

ASJC Scopus subject areas

  • Surgery

Cite this

@article{557d3a9a90f34a26a1f15d5cdd6a8c12,
title = "Clinical and pathological factors predictive of lymph node status in women with screen-detected breast cancer",
abstract = "Two thousand one hundred and thirty five asymptomatic invasive breast cancers detected through screening mammography were analysed to identify predictors of lymph node involvement. Multivariable analysis indicated that predictors included larger tumour diameter, an infiltrating ductal or lobular histological type, multifocal disease, a palpable lesion, and a younger age at diagnosis. An association also was found between nodal involvement and the presence of an extensive in situ component (EIC). Grade was associated with nodal involvement as a univariate predictor. It would be more accurate for screening assessment clinics to use models for predicting nodal status that were customised to their own experience rather than generic models developed in other settings that related predominantly to symptomatic cancer. These models could assist clinical decision-making on axillary node dissection and give guidance to pathologists on numbers of tissue sections to examine.",
keywords = "Breast cancer, Mammography, Nodal status, Predictors",
author = "Gill, {P. G.} and Luke, {C. G.} and Roder, {D. M.}",
year = "2006",
month = "1",
day = "1",
doi = "10.1016/j.breast.2006.01.009",
language = "English",
volume = "15",
pages = "640--648",
journal = "Breast",
issn = "0960-9776",
publisher = "Churchill Livingstone",
number = "5",

}

Clinical and pathological factors predictive of lymph node status in women with screen-detected breast cancer. / Gill, P. G.; Luke, C. G.; Roder, D. M.

In: Breast, Vol. 15, No. 5, 01.01.2006, p. 640-648.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Clinical and pathological factors predictive of lymph node status in women with screen-detected breast cancer

AU - Gill, P. G.

AU - Luke, C. G.

AU - Roder, D. M.

PY - 2006/1/1

Y1 - 2006/1/1

N2 - Two thousand one hundred and thirty five asymptomatic invasive breast cancers detected through screening mammography were analysed to identify predictors of lymph node involvement. Multivariable analysis indicated that predictors included larger tumour diameter, an infiltrating ductal or lobular histological type, multifocal disease, a palpable lesion, and a younger age at diagnosis. An association also was found between nodal involvement and the presence of an extensive in situ component (EIC). Grade was associated with nodal involvement as a univariate predictor. It would be more accurate for screening assessment clinics to use models for predicting nodal status that were customised to their own experience rather than generic models developed in other settings that related predominantly to symptomatic cancer. These models could assist clinical decision-making on axillary node dissection and give guidance to pathologists on numbers of tissue sections to examine.

AB - Two thousand one hundred and thirty five asymptomatic invasive breast cancers detected through screening mammography were analysed to identify predictors of lymph node involvement. Multivariable analysis indicated that predictors included larger tumour diameter, an infiltrating ductal or lobular histological type, multifocal disease, a palpable lesion, and a younger age at diagnosis. An association also was found between nodal involvement and the presence of an extensive in situ component (EIC). Grade was associated with nodal involvement as a univariate predictor. It would be more accurate for screening assessment clinics to use models for predicting nodal status that were customised to their own experience rather than generic models developed in other settings that related predominantly to symptomatic cancer. These models could assist clinical decision-making on axillary node dissection and give guidance to pathologists on numbers of tissue sections to examine.

KW - Breast cancer

KW - Mammography

KW - Nodal status

KW - Predictors

UR - http://www.scopus.com/inward/record.url?scp=33749494686&partnerID=8YFLogxK

U2 - 10.1016/j.breast.2006.01.009

DO - 10.1016/j.breast.2006.01.009

M3 - Article

VL - 15

SP - 640

EP - 648

JO - Breast

T2 - Breast

JF - Breast

SN - 0960-9776

IS - 5

ER -