Abstract
Background
Salvage total laryngectomy (STL) is a preferred treatment for patients with residual, recurrent, and second primary squamous cell carcinoma of the larynx/hypopharynx after (chemo)radiation. To individually estimate postoperative oncological outcomes, we designed and validated prognostic nomograms.
Methods
We used a dataset of 290 patients who underwent STL. Nomograms predicting 2- and 5-year OS, DFS, and DSS were developed, using variables which are identified pre- or postoperatively. The nomograms were externally validated on a dataset of 109 patients.
Results
The nomograms based on postoperative variables performed better than those based on preoperative variables (OS: C = 0.68 vs. 0.64; DFS: C = 0.70 vs. 0.64; DSS: C = 0.74 vs. 0.64). The nomogram predicting DSS based on postoperative variables performed best.
Conclusions
The presented prognostic nomograms for predicting oncological outcomes in patients who undergo STL are tools which allow for a reliable prognostic assessment.
Salvage total laryngectomy (STL) is a preferred treatment for patients with residual, recurrent, and second primary squamous cell carcinoma of the larynx/hypopharynx after (chemo)radiation. To individually estimate postoperative oncological outcomes, we designed and validated prognostic nomograms.
Methods
We used a dataset of 290 patients who underwent STL. Nomograms predicting 2- and 5-year OS, DFS, and DSS were developed, using variables which are identified pre- or postoperatively. The nomograms were externally validated on a dataset of 109 patients.
Results
The nomograms based on postoperative variables performed better than those based on preoperative variables (OS: C = 0.68 vs. 0.64; DFS: C = 0.70 vs. 0.64; DSS: C = 0.74 vs. 0.64). The nomogram predicting DSS based on postoperative variables performed best.
Conclusions
The presented prognostic nomograms for predicting oncological outcomes in patients who undergo STL are tools which allow for a reliable prognostic assessment.
| Original language | English |
|---|---|
| Pages (from-to) | 46-56 |
| Number of pages | 11 |
| Journal | Head & Neck |
| Volume | 46 |
| Issue number | 1 |
| Early online date | 22 Oct 2023 |
| DOIs | |
| Publication status | Published - Jan 2024 |
Bibliographical note
Funding Information:Statistical analysis was funded through the Vandeputte Walter Hoofd‐Halskanker fund of the KU Leuven.
Publisher Copyright:
© 2023 Wiley Periodicals LLC.