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1. Risks of hypertension and thromboembolism in patients receiving bevacizumab with chemotherapy for colorectal cancer: A systematic review and meta-analysis.

4. The contemporary management of cancers of the sinonasal tract in adults.

7. Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study

9. Factors associated with delays in care of suspicious lung nodules at an academic medical center.

16. Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI

18. Supplementary Tables from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

19. Supplementary Figures from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

20. Data from Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

22. Estimating the Time Toxicity of Contemporary Systemic Treatment Regimens for Advanced Esophageal and Gastric Cancers.

23. Comparison of neoadjuvant regimens for resectable gastroesophageal junction cancer: a systematic review of randomized clinical trials across three decades

29. Association of PD-L1 expression, tumor mutational burden and immunotherapy with venous thrombosis in patients with solid organ malignancies

30. The contemporary management of cancers of the sinonasal tract in adults

34. Research letters

37. Pilot trial of physical and cognitive changes related to fall risk in enzalutamide patients with castration-resistant prostate cancer (CRPC).

42. Case Reports

45. Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans

49. Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?—A Feasibility Study

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