Induction chemotherapy followed by radiotherapy for larynx preservation in advanced laryngeal and hypopharyngeal cancer: Outcome prediction after one.

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Induction chemotherapy followed by radiotherapy for larynx preservation in advanced laryngeal and hypopharyngeal cancer: Outcome prediction after one cycle induction chemotherapy by a score based on clinical evaluation, computed tomography-based volumetry and 18F-FDG-PET/CT  Gunnar Wichmann, Anne Krüger, Andreas Boehm, Marlen Kolb, Mathias Hofer, Milos Fischer, Stefan Müller, Sandra Purz, Patrick Stumpp, Osama Sabri, Andreas Dietz, Regine Kluge  European Journal of Cancer  Volume 72, Pages 144-155 (February 2017) DOI: 10.1016/j.ejca.2016.11.013 Copyright © 2016 Elsevier Ltd Terms and Conditions

Fig. 1 The Cox proportional hazard model for laryngectomy-free survival (LFS) developed in responders (p = 6.28 × 10−4) contains 4 independent significant covariates and predicts the LFS, overall (OS), and tumour-specific survival (TSS) of responders. (A–D) Kaplan–Meier curves for LFS respective to (A) suspect positive neck nodes (N+) ≤2 versus >2, (B) residual volume of the primary tumour resVT ≤ 20% versus >20%, (C) residual total tumour volume in CT-based volumetry resV ≤ 5.6 mL versus >5.6 mL and (D) the ratio of the residual standard-uptake value maximum and the residual standard-uptake value mean resSUVmax/resSUVmean ≤ 1.51 versus >1.51. (E) Forrest plot for the four covariates in the multivariate Cox model. (F–H) Kaplan–Meier curves for LFS (F), OS (G) and TSS (H) among responders stratified according their LFS probability >50% versus ≤50% predicted by the survival function of the Cox model for LFS. European Journal of Cancer 2017 72, 144-155DOI: (10.1016/j.ejca.2016.11.013) Copyright © 2016 Elsevier Ltd Terms and Conditions

Fig. 2 ROC curves for LFS-score (I) and Kaplan–Meier curves (II) for laryngectomy-free (LFS; A), overall (OS; B) and tumour-specific survival (TSS; C) of endoscopic responders (ETSS ≥ 30%) binary classified by LFS-score ≤ 16 versus >16 are shown together with (I) area under the curve (AUC) with 95% confidence interval and related p value, and (II) p values from log-rank tests. The optimum cut-off according to maximum Youden-score in all ROC curves is LFS-score = 16.5 (highlighted by a black circle). European Journal of Cancer 2017 72, 144-155DOI: (10.1016/j.ejca.2016.11.013) Copyright © 2016 Elsevier Ltd Terms and Conditions