COUFAL, Oldřich, Tomáš PAVLÍK, Pavel FABIAN and al. ET. 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.
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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 al. ET.
Edition PATHOLOGY & ONCOLOGY RESEARCH, 2009, 1219-4956.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30200 3.2 Clinical medicine
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
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
Tags International impact, Reviewed
Changed by Changed by: RNDr. Tomáš Pavlík, Ph.D., učo 52483. Changed: 28/1/2010 18:10.
Abstract
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.
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