Head & neck · 2023
Salvage total laryngectomy for squamous cell carcinoma of the larynx and hypopharynx: Validated prognostic nomograms predicting oncological outcomes.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Jeroen Meulemans, Alexander Van Boven, Jens Debacker, Annouschka Laenen, Pierre Delaere, Charlotte Van Lierde, Wouter Huvenne, Vincent Vander Poorten
Аннотация
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.
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.