Predicting the extent of nodal involvement for node positive breast cancer patients: Development and validation of a novel tool.
J Surg Oncol
; 120(4): 578-586, 2019 Sep.
Article
em En
| MEDLINE
| ID: mdl-31338839
ABSTRACT
BACKGROUND:
This study aimed to develop an easy to use prediction model to predict the risk of having a total of 1 to 2, ≥3, or ≥4 positive axillary lymph nodes (LNs), for patients with sentinel lymph node (SLN) positive breast cancer.METHODS:
Data of 911 SLN positive breast cancer patients were used for model development. The model was validated externally in an independent population of 180 patients with SLN positive breast cancer.RESULTS:
Final pathology after ALND showed additional positive LN for 259 (28%) of the patients. A total of 726 (81%) out of 911 patients had a total of 1 to 2 positive nodes, whereas 175 (19%) had ≥3 positive LNs. The model included three predictors the tumor size (in mm), the presence of a negative SLN, and the size of the SLN metastases (in mm). At external validation, the model showed a good discriminative ability (area under the curve = 0.82; 95% confidence interval = 0.74-0.90) and good calibration over the full range of predicted probabilities.CONCLUSION:
This new and validated model predicts the extent of nodal involvement in node-positive breast cancer and will be useful for counseling patients regarding their personalized axillary treatment.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Mama
/
Carcinoma Lobular
/
Carcinoma Ductal de Mama
/
Nomogramas
/
Linfonodo Sentinela
/
Linfonodos
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Aged
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Female
/
Humans
/
Middle aged
Idioma:
En
Revista:
J Surg Oncol
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Holanda