UNLABELLED: Study Type - Prognostic (cohort) Level of Evidence 2b What's known on the subject? and What does the study add? Nomograms are based on large patient population. Their applicability should be externally validated. Among 747 brachytherapy patients we evaluated two Kattan nonograms and conclude that they have limited value to predict PSA-free survival. OBJECTIVE: To validate and compare the preoperative and postoperative Kattan prediction nonograms for prostate cancer recurrence after brachytherapy. PATIENTS AND METHODS: Patients (n= 747) treated with (125) I-brachytherapy were evaluated. Both nomograms were used to calculate the prediction of 5-year biochemical-freedom from failure (BFFF) based on clinical stage, Gleason score, prostate-specific antigen (PSA) level, receipt of androgen deprivation therapy and the post-implant dosimetry variable D90 (values of the minimal dose received by 90% of the prostate volume). The predicted values using the Kattan nomograms and the observed values were compared. Predictive accuracy was determined using the concordance index. RESULTS: The 5-year BFFF probability was 94% (95% confidence interval [CI], 92-96%) for the modified American Society for Radiation Oncology (ASTRO) definition and 97% (95% CI, 95-98%) for the Phoenix definition using Kaplan-Meier analysis. The predicted values of BFFF using both Kattan nomograms were lower than the observed rates in our cohort. The concordance index values were 0.51 and 0.52 for preoperative and postoperative nomograms, respectively. Concordance correlation coefficient between the two nomograms was 0.15. CONCLUSIONS: In our population, the 5-year BFFF outcomes rates were superior to nomogram predictions. Neither nomogram predicted outcomes after (125) I-brachytherapy in this non-US cohort. The postoperative nomogram was also a poor predictor, although it included D90 dosimetry values, as a variable of treatment quality. Strict inclusion criteria, perhaps more favourable than the ones on which the Kattan nomograms were based, could be the explanation for these discrepancies.
UNLABELLED: Study Type - Prognostic (cohort) Level of Evidence 2b What's known on the subject? and What does the study add? Nomograms are based on large patient population. Their applicability should be externally validated. Among 747 brachytherapy patients we evaluated two Kattan nonograms and conclude that they have limited value to predict PSA-free survival. OBJECTIVE: To validate and compare the preoperative and postoperative Kattan prediction nonograms for prostate cancer recurrence after brachytherapy. PATIENTS AND METHODS: Patients (n= 747) treated with (125) I-brachytherapy were evaluated. Both nomograms were used to calculate the prediction of 5-year biochemical-freedom from failure (BFFF) based on clinical stage, Gleason score, prostate-specific antigen (PSA) level, receipt of androgen deprivation therapy and the post-implant dosimetry variable D90 (values of the minimal dose received by 90% of the prostate volume). The predicted values using the Kattan nomograms and the observed values were compared. Predictive accuracy was determined using the concordance index. RESULTS: The 5-year BFFF probability was 94% (95% confidence interval [CI], 92-96%) for the modified American Society for Radiation Oncology (ASTRO) definition and 97% (95% CI, 95-98%) for the Phoenix definition using Kaplan-Meier analysis. The predicted values of BFFF using both Kattan nomograms were lower than the observed rates in our cohort. The concordance index values were 0.51 and 0.52 for preoperative and postoperative nomograms, respectively. Concordance correlation coefficient between the two nomograms was 0.15. CONCLUSIONS: In our population, the 5-year BFFF outcomes rates were superior to nomogram predictions. Neither nomogram predicted outcomes after (125) I-brachytherapy in this non-US cohort. The postoperative nomogram was also a poor predictor, although it included D90 dosimetry values, as a variable of treatment quality. Strict inclusion criteria, perhaps more favourable than the ones on which the Kattan nomograms were based, could be the explanation for these discrepancies.
Authors: Elspeth Raymond; Michael E O'Callaghan; Jared Campbell; Andrew D Vincent; Kerri Beckmann; David Roder; Sue Evans; John McNeil; Jeremy Millar; John Zalcberg; Martin Borg; Kim Moretti Journal: Radiat Oncol Date: 2017-03-21 Impact factor: 3.481
Authors: Jörg S Zimmermann; Rudolf Osieka; Thorsten Bruns; Helge Hollberg; Bastian Wiechmann; Olaf Netzbandt; Jörg Sablotny; Michael Malade; Matthias Heitz; Fritz Bernhardt; Jörg Tiemann; Marc Wilkens; Tom Brüske; Utz Welker; Volker Heinemann; Petra Zimmermann; Salvador Fernandez de la Maza; Dietrich Pfeiffer; Prof Roland Tauber; Dorothea Thomas; Christos Moustakis Journal: J Contemp Brachytherapy Date: 2018-08-31