Published in:
01-06-2012 | Breast Oncology
High Intersystem Variability for the Prediction of Additional Axillary Non-Sentinel Lymph Node Involvement in Individual Patients with Sentinel Node-Positive Breast Cancer
Authors:
Ingrid van den Hoven, MD, Gerrit P. Kuijt, MD, Adri C. Voogd, PhD, Rudi M. H. Roumen, MD, PhD
Published in:
Annals of Surgical Oncology
|
Issue 6/2012
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Abstract
Purpose
To compare the outcomes of the available systems that predict the risk of non-sentinel lymph node (non-SLN) metastasis and to evaluate the variability within a group of SLN-positive breast cancer patients.
Methods
Predicted probabilities and scores for non-SLN metastasis were calculated with nine predictive systems for 120 SLN-positive patients who underwent a completion axillary lymph node dissection. The number of patients was calculated that were considered low risk or had a probability of ≤10% by at least one of the systems. For each nomogram, a box plot was constructed. All patients with a predicted probability of ≤10% according to the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram were selected, and a comparison was made with the probabilities predicted by the other systems.
Results
Nearly two-thirds (64.2%, n = 77) of patients with SLN-positive breast cancer were allocated to a low-risk or low-probability group by at least one of the predictive systems. No patients were uniformly classified as low risk by all nine prediction models. At the group level, a considerable variation in the distribution of the predicted probabilities was observed. At the individual level, calculation of the predicted probabilities for the selected patients who were considered low risk (≤10%) according to the MSKCC nomogram, showed even larger variations, ranging from 4 to 94%.
Conclusions
This study shows that there is an unacceptably high variability in individual predictions when the predictive systems that are currently available are used to predict non-SLN metastasis in patients with SLN-positive breast cancer.