1. The prognostic value of volumetric changes of the primary tumor measured on Cone Beam-CT during radiotherapy for concurrent chemoradiation in NSCLC patients
- Author
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Jan-Jakob Sonke, B. Stam, Else A. Aalbersberg, Trynke Hoekstra, José Belderbos, Viviane Philipps, Maddalena Rossi, Iris Walraven, Margriet Kwint, Cécile Proust-Lima, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Methodology and Applied Biostatistics, APH - Health Behaviors & Chronic Diseases, and APH - Methodology
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Oncology ,medicine.medical_specialty ,Treatment response ,Lung Neoplasms ,medicine.medical_treatment ,Locally advanced ,Biostatistics ,Latent Class Mixed Modelling ,Volumetric changes ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,Carcinoma, Non-Small-Cell Lung ,Internal medicine ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Progression-free survival ,Cone beam ct ,Proportional hazards model ,business.industry ,Chemoradiotherapy ,Hematology ,Concurrent chemoradiation ,Cone-Beam Computed Tomography ,Prognosis ,medicine.disease ,Primary tumor ,Radiation therapy ,Cone-Beam-CT ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,030220 oncology & carcinogenesis ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,business ,Locally Advanced NSCLC - Abstract
Item does not contain fulltext INTRODUCTION: The aim of this study was to identify subgroups of locally advanced NSCLC patients with a distinct treatment response during concurrent chemoradiotherapy (CCRT). Subsequently, we investigated the association of subgroup membership with treatment outcomes. METHODS: 394 NSCLC-patients treated with CCRT between 2007 and 2013 were included. Gross Tumor Volume (GTV) during treatment was determined and relative GTV-volume change from the planning-CT was subsequently calculated. Latent Class Mixed Modeling (LCMM) was used to identify subgroups with distinct volume changes during CCRT. The association of subgroup membership with overall survival (OS), progression free survival (PFS) and local regional control (LRC) was assessed using cox regression analyses. RESULTS: Three subgroups of GTV-volume change during treatment were identified, with each subsequent subgroup showing a more profound reduction of GTV during treatment. No associations between subgroup membership and OS, PFS nor LRC were observed. Nonetheless, baseline GTV (HR1.42; 95%CI 1.06-1.91) was significantly associated with OS. CONCLUSIONS: Three different subgroups of GTV-volume change during treatment were identified. Surprisingly, these subgroups did not differ in their risk of treatment outcomes. Only patients with a larger GTV at baseline had a significantly worse OS. Therefore, risk stratification at baseline might already be accurate in identifying the best treatment strategy for most patients.
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- 2020
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