Predictive and prognostic value of CT based radiomics signature in locally advanced head and neck cancers patients treated with concurrent chemoradiotherapy or bioradiotherapy and its added value to Human Papillomavirus status

•A 24-feature based radiomic signature predicted for OS and PFS.•The radiomic signature improved the prognostic accuracy when added to p16 status.•The signature may potentially be used to guide treatment selection when added to p16 status. To explore prognostic and predictive value of radiomics in p...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Oral oncology 2017-08, Vol.71, p.150-155
Hauptverfasser: Ou, Dan, Blanchard, Pierre, Rosellini, Silvia, Levy, Antonin, Nguyen, France, Leijenaar, Ralph T.H., Garberis, Ingrid, Gorphe, Philippe, Bidault, François, Ferté, Charles, Robert, Charlotte, Casiraghi, Odile, Scoazec, Jean-Yves, Lambin, Philippe, Temam, Stephane, Deutsch, Eric, Tao, Yungan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•A 24-feature based radiomic signature predicted for OS and PFS.•The radiomic signature improved the prognostic accuracy when added to p16 status.•The signature may potentially be used to guide treatment selection when added to p16 status. To explore prognostic and predictive value of radiomics in patients with locally advanced head and neck squamous cell carcinomas (LAHNSCC) treated with concurrent chemoradiotherapy (CRT) or bioradiotherapy (BRT). Data of 120 patients (CRT vs. BRT matched 2:1) were retrospectively analyzed. A total of 544 radiomics features of the primary tumor were extracted from radiotherapy planning computed tomography scans. Cox proportional hazards models were used to examine the association between survival and radiomics features with false discovery rate correction. The discriminatory performance was evaluated using receiver operating characteristic curve analysis. Multivariate analysis showed a 24-feature based signature significantly predicted for OS (HR=0.3, P=0.02) and progression-free survival (PFS) (HR=0.3, P=0.01). Combining the radiomics signature with p16 status showed a significant improvement of prognostic performance compared with p16 (AUC=0.78vs. AUC=0.64 at 5years, P=0.01) or radiomics signature (AUC=0.78vs. AUC=0.67, P=0.01) alone. When patients were stratified according to this combination, OS and PFS were significantly different according to the 4 sub-types (p16+ with low/high signature score; p16− with low/high signature score) (P
ISSN:1368-8375
1879-0593
DOI:10.1016/j.oraloncology.2017.06.015