Noorazrul Yahya1, Martin A Ebert2, Max Bulsara3, Annette Haworth4, Angel Kennedy5, David J Joseph6, Jim W Denham7. 1. School of Physics, University of Western Australia, Australia; Faculty of Health Sciences, National University of Malaysia, Bangi, Malaysia. Electronic address: noorazrul.yahya@research.uwa.edu.au. 2. School of Physics, University of Western Australia, Australia; Department of Radiation Oncology, Sir Charles Gairdner Hospital, Australia. 3. Institute for Health Research, University of Notre Dame, Fremantle, Australia. 4. Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Australia. 5. Department of Radiation Oncology, Sir Charles Gairdner Hospital, Australia. 6. Department of Radiation Oncology, Sir Charles Gairdner Hospital, Australia; School of Surgery, University of Western Australia, Australia. 7. School of Medicine and Public Health, University of Newcastle, Australia.
Abstract
PURPOSE/ OBJECTIVE: To identify dosimetry, clinical factors and medication intake impacting urinary symptoms after prostate radiotherapy. MATERIAL AND METHODS: Data describing clinical factors and bladder dosimetry (reduced with principal component (PC) analysis) for 754 patients treated withexternal beam radiotherapy accrued by TROG 03.04 RADAR prostate radiotherapy trial were available for analysis. Urinary symptoms (frequency, incontinence, dysuria and haematuria) were prospectively assessed using LENT-SOMA to a median of 72months. The endpoints assessed were prevalence (grade ⩾1) at the end of radiotherapy (representing acute symptoms), at 18-, 36- and 54-month follow-ups (representing late symptoms) and peak late incidence including only grade ⩾2. Impact of factors was assessed using multivariate logistic regression models with correction for over-optimism. RESULTS:Baseline symptoms, non-insulin dependent diabetes mellitus, age and PC1 (correlated to the mean dose) impact symptoms at >1 timepoints. Associations at a single timepoint were found for cerebrovascular condition, ECOG status and non-steroidal anti-inflammatory drug intake. Peak incidence analysis shows the impact of baseline, bowel and cerebrovascular condition and smoking status. CONCLUSIONS: The prevalence and incidence analysis provide a complementary view for urinary symptom prediction. Sustained impacts across time points were found for several factors while some associations were not repeated at different time points suggesting poorer or transient impact.
RCT Entities:
PURPOSE/ OBJECTIVE: To identify dosimetry, clinical factors and medication intake impacting urinary symptoms after prostate radiotherapy. MATERIAL AND METHODS: Data describing clinical factors and bladder dosimetry (reduced with principal component (PC) analysis) for 754 patients treated with external beam radiotherapy accrued by TROG 03.04 RADAR prostate radiotherapy trial were available for analysis. Urinary symptoms (frequency, incontinence, dysuria and haematuria) were prospectively assessed using LENT-SOMA to a median of 72months. The endpoints assessed were prevalence (grade ⩾1) at the end of radiotherapy (representing acute symptoms), at 18-, 36- and 54-month follow-ups (representing late symptoms) and peak late incidence including only grade ⩾2. Impact of factors was assessed using multivariate logistic regression models with correction for over-optimism. RESULTS: Baseline symptoms, non-insulin dependent diabetes mellitus, age and PC1 (correlated to the mean dose) impact symptoms at >1 timepoints. Associations at a single timepoint were found for cerebrovascular condition, ECOG status and non-steroidal anti-inflammatory drug intake. Peak incidence analysis shows the impact of baseline, bowel and cerebrovascular condition and smoking status. CONCLUSIONS: The prevalence and incidence analysis provide a complementary view for urinary symptom prediction. Sustained impacts across time points were found for several factors while some associations were not repeated at different time points suggesting poorer or transient impact.
Authors: Sangkyu Lee; Sarah Kerns; Harry Ostrer; Barry Rosenstein; Joseph O Deasy; Jung Hun Oh Journal: Int J Radiat Oncol Biol Phys Date: 2018-01-31 Impact factor: 7.038
Authors: Rowan V David; Arman A Kahokehr; Jason Lee; David I Watson; John Leung; Michael E O'Callaghan Journal: World J Urol Date: 2022-08-11 Impact factor: 3.661
Authors: Marco Marcello; James W Denham; Angel Kennedy; Annette Haworth; Allison Steigler; Peter B Greer; Lois C Holloway; Jason A Dowling; Michael G Jameson; Dale Roach; David J Joseph; Sarah L Gulliford; David P Dearnaley; Matthew R Sydes; Emma Hall; Martin A Ebert Journal: Front Oncol Date: 2020-07-22 Impact factor: 6.244