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6. Blood-Derived Extracellular Vesicle-Associated miR-3182 Detects Non-Small Cell Lung Cancer Patients

7. Predicting muscle loss during lung cancer treatment (PREDICT): protocol for a mixed methods prospective study

8. A Deep Learning Model to Automate Skeletal Muscle Area Measurement on Computed Tomography Images

9. A deep learning model to automate skeletal muscle area measurement on computed tomography images

13. Please Place Your Seat in the Full Upright Position: A Technical Framework for Landing Upright Radiation Therapy in the 21st Century.

14. Robust, independent and relevant prognostic 18F-fluorodeoxyglucose positron emission tomography radiomics features in non-small cell lung cancer: Are there any?

15. What 18F-FDG PET Response-Assessment Method Best Predicts Survival After Curative-Intent Chemoradiation in Non–Small Cell Lung Cancer: EORTC, PERCIST, Peter Mac Criteria, or Deauville Criteria?

23. Differential 18F-FDG and 18F-FLT Uptake on Serial PET/CT Imaging Before and During Definitive Chemoradiation for Non–Small Cell Lung Cancer

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

27. Please Place Your Seat in the Full Upright Position: A Technical Framework for Landing Upright Radiation Therapy in the 21 st Century.

28. What 18 F-FDG PET Response-Assessment Method Best Predicts Survival After Curative-Intent Chemoradiation in Non-Small Cell Lung Cancer: EORTC, PERCIST, Peter Mac Criteria, or Deauville Criteria?

29. Role of PET-CT in the optimization of thoracic radiotherapy.

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