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2. Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries

3. Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT

5. Decision support systems for personalized and participative radiation oncology

7. Factors Associated With Early Mortality in Patients Treated With Concurrent Chemoradiation Therapy for Locally Advanced Non-Small Cell Lung Cancer

8. A Validated Prediction Model for Overall Survival From Stage III Non-Small Cell Lung Cancer: Toward Survival Prediction for Individual Patients

10. Is Intermediate Radiation Dose Escalation With Concurrent Chemotherapy for Stage III Non–Small-Cell Lung Cancer Beneficial? A Multi-Institutional Propensity Score Matched Analysis

12. A prospective study comparing the predictions of doctors versus models for treatment outcome of lung cancer patients: A step toward individualized care and shared decision making

13. Epigenetics in radiotherapy: Where are we heading?

14. Predicting Esophagitis After Chemoradiation Therapy for Non-Small Cell Lung Cancer: An Individual Patient Data Meta-Analysis

15. ‘Rapid Learning health care in oncology’ – An approach towards decision support systems enabling customised radiotherapy’

16. Cardiac comorbidity is an independent risk factor for radiation-induced lung toxicity in lung cancer patients

17. No association between TGF-β1 polymorphisms and radiation-induced lung toxicity in a European cohort of lung cancer patients

20. Development and Validation of a Prognostic Model Using Blood Biomarker Information for Prediction of Survival of Non–Small-Cell Lung Cancer Patients Treated With Combined Chemotherapy and Radiation or Radiotherapy Alone (NCT00181519, NCT00573040, and NCT00572325)

21. Development and validation of a nomogram for prediction of survival and local control in laryngeal carcinoma patients treated with radiotherapy alone: A cohort study based on 994 patients

22. Development, external validation and clinical usefulness of a practical prediction model for radiation-induced dysphagia in lung cancer patients

23. The ESTRO Breur Lecture 2009. From population to voxel-based radiotherapy: Exploiting intra-tumour and intra-organ heterogeneity for advanced treatment of non-small cell lung cancer

24. Selective Nodal Irradiation on Basis of 18FDG-PET Scans in Limited-Disease Small-Cell Lung Cancer: A Prospective Study

26. Development and External Validation of Prognostic Model for 2-Year Survival of Non–Small-Cell Lung Cancer Patients Treated With Chemoradiotherapy

28. Tumor Volume Combined With Number of Positive Lymph Node Stations Is a More Important Prognostic Factor Than TNM Stage for Survival of Non–Small-Cell Lung Cancer Patients Treated With (Chemo)radiotherapy

29. A2-03: The combination of total tumor volume, number of positive lymph node stations on PET, gender, performance status and radiation dose is the best predictor for survival in patients with inoperable NSCLC, stage I-IIIB, treated with (chemo)radiation

30. PET-CT–Based Auto-Contouring in Non–Small-Cell Lung Cancer Correlates With Pathology and Reduces Interobserver Variability in the Delineation of the Primary Tumor and Involved Nodal Volumes

31. The maximum uptake of 18F-deoxyglucose on positron emission tomography scan correlates with survival, hypoxia inducible factor-1α and GLUT-1 in non-small cell lung cancer

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