Abstract
Background: To improve patient selection for sentinel node (SN) biopsy, the Melanoma Institute of Australia (MIA) created a predictive model based on readily available clinicopathologic factors. Objectives: Validation of the MIA nomogram using the National Cancer Database (NCDB), a nationwide oncology outcomes database for >1500 Commission-accredited cancer programs in the United States. Methods: A total of 60,165 patients were included in the validation. The probability of SN positivity was calculated for each patient. Using calculated probabilities, a receiver operating characteristic curve was generated to assess the model's discrimination ability. Results: At baseline, the NCDB cohort had different clinicopathologic characteristics compared with the original MIA data set. Despite these differences, the MIA nomogram retained high-predictive accuracy within the NCDB dataset (C-statistic, 0.733 [95% CI, 0.726-0.739]), although calibration weakened for the highest risk decile. Limitations: The NCDB collects data from hospital registries accredited by the Commission on Cancer. Conclusions: In conclusion, this study validated the use of the MIA nomogram in a nationwide oncology outcomes database collected from >1500 Commission-accredited cancer programs in the United States, demonstrating the potential for this nomogram to predict SN positivity and reduce the number of negative SN biopsies.
Original language | English (US) |
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Pages (from-to) | 967-973 |
Number of pages | 7 |
Journal | Journal of the American Academy of Dermatology |
Volume | 89 |
Issue number | 5 |
DOIs | |
State | Published - Nov 2023 |
Keywords
- melanoma
- model
- nomogram
- oncology
- risk assessment
- sentinel lymph node
- surgery
ASJC Scopus subject areas
- Dermatology