Predicting the extent of nodal involvement for node positive breast cancer patients: Development and validation of a novel tool.

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

SUBMITTER: van den Hoven I 

PROVIDER: S-EPMC6771524 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature