Predicting Non‐Sentinel Lymph Node Status in Breast Cancer Patients with Sentinel Lymph Node Involvement: Evaluation of Two Scoring Systems
Identifieur interne : 005C27 ( Main/Exploration ); précédent : 005C26; suivant : 005C28Predicting Non‐Sentinel Lymph Node Status in Breast Cancer Patients with Sentinel Lymph Node Involvement: Evaluation of Two Scoring Systems
Auteurs : Alex Sanjuán [Espagne] ; Georgia Escaramís [Espagne] ; Sergi Vidal-Sicart ; Miriam Illa [Espagne] ; Gabriel Zan N [Espagne] ; Jaume Pahisa [Espagne] ; Sebastià Rubí ; Martín Velasco ; Gorane Santamaría ; Blanca Farrús ; Montse Mu Oz ; Yolanda García ; Pedro Luís Fernández [Espagne] ; Francesca PonsSource :
- The Breast Journal [ 1075-122X ] ; 2010-03.
Abstract
Abstract: The aim of this study was to validate a nomogram and a scoring system to predict non‐sentinel lymph node status in breast cancer patients with sentinel lymph node (SLN) involvement. A total of 516 breast cancer patients underwent sentinel lymph node biopsy at our institution from January 2001 to August 2006. A prospective database was used to identify breast cancer patients with a positive SLN biopsy examination who underwent a completion axillary lymph node dissection. A total of 114 patients were identified. The Memorial Sloan‐Kettering Cancer Center (MSKCC) nomogram and an axilla scoring system from Paris (Hôpital Tenon) were used to predict the probability of having non‐SLN involvement. One hundred fourteen patients were included in the study. The areas under the receiver operating characteristics (ROC) curves were 0.671 (95% CI: 0.552–0.790) for the MSKCC nomogram and 0.703 (95% CI: 0.596–0.811) for the Tenon score. The univariate analysis shows that size of SLN metastases, the number of positive and negative SLN and the proportion of positive SLN were statistically significant. On multivariate logistic regression analysis, the size of SLN metastases and the proportion of positive SLN were statistically significant. The two scoring systems are similar according to their area under ROC curves, but should be improved to be valid and determinant to the general population. Meanwhile, the use of scoring systems could be applied in an individual manner in some patients.
Url:
DOI: 10.1111/j.1524-4741.2009.00892.x
Affiliations:
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type="eISSN">1524-4741</idno><imprint><biblScope unit="vol">16</biblScope><biblScope unit="issue">2</biblScope><biblScope unit="page" from="134">134</biblScope><biblScope unit="page" to="140">140</biblScope><biblScope unit="page-count">7</biblScope><publisher>Blackwell Publishing Ltd</publisher><pubPlace>Oxford, UK</pubPlace><date type="published" when="2010-03">2010-03</date></imprint><idno type="ISSN">1075-122X</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1075-122X</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract">Abstract: The aim of this study was to validate a nomogram and a scoring system to predict non‐sentinel lymph node status in breast cancer patients with sentinel lymph node (SLN) involvement. A total of 516 breast cancer patients underwent sentinel lymph node biopsy at our institution from January 2001 to August 2006. A prospective database was used to identify breast cancer patients with a positive SLN biopsy examination who underwent a completion axillary lymph node dissection. A total of 114 patients were identified. The Memorial Sloan‐Kettering Cancer Center (MSKCC) nomogram and an axilla scoring system from Paris (Hôpital Tenon) were used to predict the probability of having non‐SLN involvement. One hundred fourteen patients were included in the study. The areas under the receiver operating characteristics (ROC) curves were 0.671 (95% CI: 0.552–0.790) for the MSKCC nomogram and 0.703 (95% CI: 0.596–0.811) for the Tenon score. The univariate analysis shows that size of SLN metastases, the number of positive and negative SLN and the proportion of positive SLN were statistically significant. On multivariate logistic regression analysis, the size of SLN metastases and the proportion of positive SLN were statistically significant. The two scoring systems are similar according to their area under ROC curves, but should be improved to be valid and determinant to the general population. Meanwhile, the use of scoring systems could be applied in an individual manner in some patients.</div></front></TEI><affiliations><list><country><li>Espagne</li></country><region><li>Catalogne</li></region><settlement><li>Barcelone</li></settlement></list><tree><noCountry><name sortKey="Farrus, Blanca" sort="Farrus, Blanca" uniqKey="Farrus B" first="Blanca" last="Farrús">Blanca Farrús</name><name sortKey="Garcia, Yolanda" sort="Garcia, Yolanda" uniqKey="Garcia Y" first="Yolanda" last="García">Yolanda García</name><name sortKey="Mu Oz, Montse" sort="Mu Oz, Montse" uniqKey="Mu Oz M" first="Montse" last="Mu Oz">Montse Mu Oz</name><name sortKey="Pons, Francesca" sort="Pons, Francesca" uniqKey="Pons F" first="Francesca" last="Pons">Francesca Pons</name><name sortKey="Rubi, Sebastia" sort="Rubi, Sebastia" uniqKey="Rubi S" first="Sebastià" last="Rubí">Sebastià Rubí</name><name sortKey="Santamaria, Gorane" sort="Santamaria, Gorane" uniqKey="Santamaria G" first="Gorane" last="Santamaría">Gorane Santamaría</name><name sortKey="Velasco, Martin" sort="Velasco, Martin" uniqKey="Velasco M" first="Martín" last="Velasco">Martín Velasco</name><name sortKey="Vidal Icart, Sergi" sort="Vidal Icart, Sergi" uniqKey="Vidal Icart S" first="Sergi" last="Vidal-Sicart">Sergi Vidal-Sicart</name></noCountry><country name="Espagne"><noRegion><name sortKey="Sanjuan, Alex" sort="Sanjuan, Alex" uniqKey="Sanjuan A" first="Alex" last="Sanjuán">Alex Sanjuán</name></noRegion><name sortKey="Escaramis, Georgia" sort="Escaramis, Georgia" uniqKey="Escaramis G" first="Georgia" last="Escaramís">Georgia Escaramís</name><name sortKey="Fernandez, Pedro Luis" sort="Fernandez, Pedro Luis" uniqKey="Fernandez P" first="Pedro Luís" last="Fernández">Pedro Luís Fernández</name><name sortKey="Illa, Miriam" sort="Illa, Miriam" uniqKey="Illa M" first="Miriam" last="Illa">Miriam Illa</name><name sortKey="Pahisa, Jaume" sort="Pahisa, Jaume" uniqKey="Pahisa J" first="Jaume" last="Pahisa">Jaume Pahisa</name><name sortKey="Zan N, Gabriel" sort="Zan N, Gabriel" uniqKey="Zan N G" first="Gabriel" last="Zan N">Gabriel Zan N</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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