Predicting non-sentinel lymph node status after positive
sentinel biopsy in breast cancer: what model performs the best
in a czech population?

J 2009

Predicting non-sentinel lymph node status after positive sentinel biopsy in breast cancer: what model performs the best in a czech population?

COUFAL, Oldřich, Tomáš PAVLÍK, Pavel FABIAN and Pavlína VRTĚLOVÁ

Basic information

Original name

Predicting non-sentinel lymph node status after positive sentinel biopsy in breast cancer: what model performs the best in a czech population?

Name in Czech

Predikce postižení nesentinelových lymfatických uzlin po pozitivní sentinelové biopsii u pacientek s karcinomem prsu

Authors

COUFAL, Oldřich, Tomáš PAVLÍK, Pavel FABIAN and Pavlína VRTĚLOVÁ

Edition

PATHOLOGY & ONCOLOGY RESEARCH, 2009, 1219-4956

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30200 3.2 Clinical medicine

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 1.152

Organization unit

Faculty of Medicine

UT WoS

000273283100025

Keywords (in Czech)

Karcinom prsu; Lymfatická metastáza; Nomogram; Predikce; Biopsie sentinelové uzliny; Nádorové buňky

Keywords in English

Breast cancer; Lymphatic metastasis; Nomogram; Prediction; Sentinel lymph node biopsy; Tumor cells; Isolated

Abstract

V originále

Several models have previously been proposed to predict the probability of non-sentinel lymph node metastases after a positive sentinel lymph node biopsy in breast cancer. The aim of this study was to assess the accuracy of two previously published nomograms and to develop an alternative model with the best predictive accuracy in a Czech population. In the basic population of 330 SLN-positive Czech patients, the accuracy of the MSKCC and the Stanford nomograms was tested by the area under the receiver operating characteristics curve. A new model was proposed according to the results of multivariate analysis of relevant clinicopathologic variables. The new model was validated in an independent test population from Hungary (383 patients). In the basic population, the previously published nomograms showed only limited accuracy. The developed MOU nomogram proved more suitable for the basic population, such as for another independent population from a mid-European country.

Citovat

COUFAL, Oldřich, Tomáš PAVLÍK, Pavel FABIAN and Pavlína VRTĚLOVÁ. Predicting non-sentinel lymph node status after positive sentinel biopsy in breast cancer: what model performs the best in a czech population? PATHOLOGY & ONCOLOGY RESEARCH. 2009, vol. 15, No 4, p. 733-740. ISSN 1219-4956.

@article{950277,
   author = {Coufal, Oldřich and Pavlík, Tomáš and Fabian, Pavel and Vrtělová, Pavlína},
   article_number = {4},
   keywords = {Breast cancer; Lymphatic metastasis; Nomogram; Prediction; Sentinel lymph node biopsy; Tumor cells; Isolated},
   language = {eng},
   issn = {1219-4956},
   journal = {PATHOLOGY & ONCOLOGY RESEARCH},
   title = {Predicting non-sentinel lymph node status after positive sentinel biopsy in breast cancer: what model performs the best in a czech population?},
   volume = {15},
   year = {2009}
}

TY  - JOUR
ID  - 950277
AU  - Coufal, Oldřich - Pavlík, Tomáš - Fabian, Pavel - Vrtělová, Pavlína
PY  - 2009
TI  - Predicting non-sentinel lymph node status after positive sentinel biopsy in breast cancer: what model performs the best in a czech population?
JF  - PATHOLOGY & ONCOLOGY RESEARCH
VL  - 15
IS  - 4
SP  - 733-740
EP  - 733-740
SN  - 12194956
KW  - Breast cancer
KW  - Lymphatic metastasis
KW  - Nomogram
KW  - Prediction
KW  - Sentinel lymph node biopsy
KW  - Tumor cells
KW  - Isolated
N2  - Several models have previously been proposed to predict the probability of non-sentinel lymph node metastases after a positive sentinel lymph node biopsy in breast cancer. The aim of this study was to assess the accuracy of two previously published nomograms and to develop an alternative model with the best predictive accuracy in a Czech population. In the basic population of 330 SLN-positive Czech patients, the accuracy of the MSKCC and the Stanford nomograms was tested by the area under the receiver operating characteristics curve. A new model was proposed according to the results of multivariate analysis of relevant clinicopathologic variables. The new model was validated in an independent test population from Hungary (383 patients). In the basic population, the previously published nomograms showed only limited accuracy. The developed MOU nomogram proved more suitable for the basic population, such as for another independent population from a mid-European country.
ER  -

COUFAL, Oldřich, Tomáš PAVLÍK, Pavel FABIAN and Pavlína VRTĚLOVÁ. Predicting non-sentinel lymph node status after positive sentinel biopsy in breast cancer: what model performs the best in a czech population? \textit{PATHOLOGY \&{} ONCOLOGY RESEARCH}. 2009, vol.~15, No~4, p.~733-740. ISSN~1219-4956.

Detailed Information on Publication Record