Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials

•Bioselection with induction chemotherapy in larynx cancer has good outcomes but has challenges.•CT imaging is complementary to surgeon assessment of response and may be incorporated.•Imaging features predict for surgeon assessment and laryngectomy-free survival.•Discordance between surgeon and imag...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Clinical and translational radiation oncology 2022-03, Vol.33, p.30-36
Hauptverfasser: Gharzai, Laila A., Pakela, Julia, Jaworski, Elizabeth M., El Naqa, Issam, Shah, Jennifer, Hawkins, Peter G., Spector, Matthew E., Bradford, Carol R., Chinn, Steven B., Malloy, Kelly, Kupfer, Robbi, Shuman, Andrew, Morrison, Robert, Stucken, Chaz L., Rosko, Andrew, Prince, Mark E., Casper, Keith, Eisbruch, Avraham, Wolf, Gregory, Swiecicki, Paul L., Worden, Francis, Mierzwa, Michelle L.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Bioselection with induction chemotherapy in larynx cancer has good outcomes but has challenges.•CT imaging is complementary to surgeon assessment of response and may be incorporated.•Imaging features predict for surgeon assessment and laryngectomy-free survival.•Discordance between surgeon and imaging response may predict for worse outcomes. Bioselection with induction chemotherapy in larynx cancer is associated with excellent larynx preservation and disease-specific survival but requires visual inspection of the primary tumor. We retrospectively compare clinical and imaging response in bioselected patients to develop predictive models of surgeon-assessed response (SR), laryngectomy-free survival (LFS), and overall survival (OS) in bioselected patients. In a secondary analysis of patients on two single-institution bioselection trials, model building used a regularized regression model (elastic-net) and applied nested cross-validation. Logistic regression-based model was used to predict SR and Cox proportional hazard-based models were used to predict LFS and OS. In 115 patients with a median age of 57 years, most patients had supraglottic tumors (73.0%) and T3/T4 disease (94.8%). Definitive treatment was chemoradiation in 76.5% and laryngectomy in 23.5%. Change in primary tumor (OR = 5.78, p 
ISSN:2405-6308
2405-6308
DOI:10.1016/j.ctro.2021.12.006