Literature DB >> 19787449

Ljubljana nomograms for predicting the likelihood of non-sentinel lymph node metastases in breast cancer patients with a positive sentinel lymph node.

Andraz Perhavec1, Maja Pohar Perme, Marko Hocevar, Nikola Besić, Janez Zgajnar.   

Abstract

Several tools for predicting the likelihood of non-sentinel lymph node (non-SLN) involvement in SLN positive breast cancer patients have been created so far.The aim of our study was to create and validate different nomograms for predicting the likelihood of non-SLN involvement that would be applicable in different institutions and that would also include the results of the preoperative US examination of the axilla. From January 2000 to January 2009, 534 breast cancer patients underwent axillary lymph node dissection (ALND) due to metastatic SLN at our institution. Using logistic regression results three nomograms differing in the inclusion of the results of intraoperative examination of SLN were created. The nomograms were validated using bootstrap methods. In all three nomograms, US examination of the axilla was a powerful independent variable. Other variables included(different in different nomograms) were tumor size, lymphovascular invasion, metastasis size in SLN, number of negative and number of positive SLNs. Mean absolute error and mean area under the ROC curve equals to 0.016 and 0.77 for the first, 0.023 and 0.75 for the second and 0.014 and 0.79 for the third nomogram. Three nomograms for predicting the likelihood of non-SLN metastases including the results of the preoperative US examination of the axilla were created at our institution. They differ in the inclusion of the results of intraoperative examination of SLNs and are thus applicable in different institutions. The validation results seem promising and omission of completion ALND might be considered in patients with the probability of having non-SLN metastases of 10% or less.

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Year:  2010        PMID: 19787449     DOI: 10.1007/s10549-009-0561-4

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  8 in total

1.  Molecular indicators of non-sentinel node status in breast cancer determined in preoperative biopsies by multiplexed sandwich immunoassays.

Authors:  Georg Sauer; Nicole Schneiderhan-Marra; Rainer Muche; Karin Koretz; Cornelia Kazmaier; Rolf Kreienberg; Thomas Joos; Helmut Deissler
Journal:  J Cancer Res Clin Oncol       Date:  2011-04-24       Impact factor: 4.553

2.  A simple risk score to predict the presence of non-sentinel lymph node metastases in breast cancer patients with a positive sentinel node.

Authors:  Raquel F D van la Parra; Petronella G M Peer; Wilfred K de Roos; Miranda F Ernst; Johannes H W de Wilt; Koop Bosscha
Journal:  World J Surg       Date:  2014-05       Impact factor: 3.352

3.  Multi-institutional comparison of non-sentinel lymph node predictive tools in breast cancer patients with high predicted risk of further axillary metastasis.

Authors:  Gábor Cserni; Rita Bori; Róbert Maráz; Marjut H K Leidenius; Tuomo J Meretoja; Paivi S Heikkila; Peter Regitnig; Gero Luschin-Ebengreuth; Janez Zgajnar; Andraz Perhavec; Barbara Gazic; György Lázár; Tibor Takács; András Vörös; Riccardo A Audisio
Journal:  Pathol Oncol Res       Date:  2012-07-14       Impact factor: 3.201

4.  Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model.

Authors:  Masahiro Takada; Masahiro Sugimoto; Yasuhiro Naito; Hyeong-Gon Moon; Wonshik Han; Dong-Young Noh; Masahide Kondo; Katsumasa Kuroi; Hironobu Sasano; Takashi Inamoto; Masaru Tomita; Masakazu Toi
Journal:  BMC Med Inform Decis Mak       Date:  2012-06-13       Impact factor: 2.796

5.  Application of artificial neural networks for predicting presence of non-sentinel lymph node metastases in breast cancer patients with positive sentinel lymph node biopsies.

Authors:  Tomasz Nowikiewicz; Paweł Wnuk; Bogdan Małkowski; Andrzej Kurylcio; Janusz Kowalewski; Wojciech Zegarski
Journal:  Arch Med Sci       Date:  2016-05-05       Impact factor: 3.318

6.  MRI-Based Radiomics Nomogram: Prediction of Axillary Non-Sentinel Lymph Node Metastasis in Patients With Sentinel Lymph Node-Positive Breast Cancer.

Authors:  Ya Qiu; Xiang Zhang; Zhiyuan Wu; Shiji Wu; Zehong Yang; Dongye Wang; Hongbo Le; Jiaji Mao; Guochao Dai; Xuwei Tian; Renbing Zhou; Jiayi Huang; Lanxin Hu; Jun Shen
Journal:  Front Oncol       Date:  2022-02-28       Impact factor: 6.244

7.  Efficiency of a preoperative axillary ultrasound and fine-needle aspiration cytology to detect patients with extensive axillary lymph node involvement.

Authors:  Isabella Castellano; Cristina Deambrogio; Francesca Muscarà; Luigi Chiusa; Giovanna Mariscotti; Riccardo Bussone; Guglielmo Gazzetta; Luigia Macrì; Paola Cassoni; Anna Sapino
Journal:  PLoS One       Date:  2014-09-10       Impact factor: 3.240

8.  Validation of Breast Cancer Models for Predicting the Nonsentinel Lymph Node Metastasis After a Positive Sentinel Lymph Node Biopsy in a Chinese Population.

Authors:  Peiqi Wu; Ke Zhao; Yanli Liang; Weitao Ye; Zaiyi Liu; Changhong Liang
Journal:  Technol Cancer Res Treat       Date:  2018-01-01
  8 in total

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