Overall information regarding the model:
The model was based on 2,892 cases of DCIS and 127 events of lymph node metastases. The predicted risks in our study ranged from 0.4% to 40.4%, the mean was 4.4% and the median was 2.8%. The c-index was 0.745 and it was 0.748 after correction for optimism by bootstrapping. In this study the sensitivity was the rate of metastasis that was correctly predicted as high-risk and 1-specificity was the rate of no-metastasis that was falsely predicted as high-risk. The calibration plot had a slope of 1.029 and an intercept of 0.090. The decision curve analysis showed that the model has a higher benefit than performing the sentinel lymph node biopsy for all patients. Below the prediction cut-off point of 25% the model has a higher benefit than performing the sentinel lymph node biopsy for none patients.
The validation cohort consisted of the 2,269 patients. In total, 53 (2.2%) had metastasis. The calibration plot showed that the observed proportions were lower than the predicted proportions. The AUC in the validation cohort was 0.741 (95% confidence interval 0.662 to 0.820). The maximum value of the Youden’s index was found at a predicted risk of 3.5%, with a sensitivity of 71.4% and a specificity of 70.6%.
Patients with previous ipsilateral DCIS or invasive breast cancer, patients with biopsy-proven micro-invasive cancer and patients who underwent excisional biopsy were excluded from the cohorts on which the model was developed or validated.
How to use the model:
The model can be used to calculate the individual risk of lymph node metastasis for patients with biopsy-proven DCIS.
This model is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.
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