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1. Intestinal microbiota composition is predictive of radiotherapy-induced acute gastrointestinal toxicity in prostate cancer patients

3. Development of a Ready-to-Use Graphical Tool Based on Artificial Neural Network Classification: Application for the Prediction of Late Fecal Incontinence After Prostate Cancer Radiation Therapy

4. The number density of a charged relic

5. CP Violation in the SUSY Seesaw: Leptogenesis and Low Energy

6. Insensitivity of flavoured leptogenesis to low energy CP violation

7. Various definitions of Minimal Flavour Violation for Leptons

11. Predicting the 5-Year Risk of Biochemical Relapse After Postprostatectomy Radiation Therapy in ≥PT2, pN0 Patients With a Comprehensive Tumor Control Probability Model

16. Local dose analysis to predict acute and late urinary toxicities after prostate cancer radiotherapy: Assessment of cohort and method effects

18. Texture analysis of T1-w and T2-w MR images allows a quantitative evaluation of radiation-induced changes of internal obturator muscles after radiotherapy for prostate cancer

19. Metamodeling of late rectal bleeding in patients undergoing radiotherapy for prostate cancer.

20. Evaluation of Mediators Associated with the Inflammatory Response in Prostate Cancer Patients Undergoing Radiotherapy

22. Eleven-year Management of Prostate Cancer Patients on Active Surveillance: What have We Learned?

23. Predicting late fecal incontinence risk after RT for prostate cancer: External independent validation.

24. Multi-variable models of large International Prostate Symptom Score worsening at the end of therapy in prostate cancer radiotherapy

25. Multi-variable models predicting specific patient-reported acute urinary symptoms after radiotherapy for prostate cancer: Results of a cohort study

29. Baseline-Status und Dosis auf den Bulbus penis als Prädiktoren für Impotenz ein Jahr nach Radiotherapie bei Prostatakrebs.

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