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Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy

BACKGROUND: To estimate the radiobiological parameters of three popular normal tissue complication probability (NTCP) models, which describe the dose-response relations of bladder regarding different acute urinary symptoms during post-prostatectomy radiotherapy (RT). To evaluate the goodness-of-fit...

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Autores principales: Mavroidis, Panayiotis, Pearlstein, Kevin A., Dooley, John, Sun, Jasmine, Saripalli, Srinivas, Das, Shiva K., Wang, Andrew Z., Chen, Ronald C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797360/
https://www.ncbi.nlm.nih.gov/pubmed/29394931
http://dx.doi.org/10.1186/s13014-018-0961-x
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author Mavroidis, Panayiotis
Pearlstein, Kevin A.
Dooley, John
Sun, Jasmine
Saripalli, Srinivas
Das, Shiva K.
Wang, Andrew Z.
Chen, Ronald C.
author_facet Mavroidis, Panayiotis
Pearlstein, Kevin A.
Dooley, John
Sun, Jasmine
Saripalli, Srinivas
Das, Shiva K.
Wang, Andrew Z.
Chen, Ronald C.
author_sort Mavroidis, Panayiotis
collection PubMed
description BACKGROUND: To estimate the radiobiological parameters of three popular normal tissue complication probability (NTCP) models, which describe the dose-response relations of bladder regarding different acute urinary symptoms during post-prostatectomy radiotherapy (RT). To evaluate the goodness-of-fit and the correlation of those models with those symptoms. METHODS: Ninety-three consecutive patients treated from 2010 to 2015 with post-prostatectomy image-guided intensity modulated radiotherapy (IMRT) were included in this study. Patient-reported urinary symptoms were collected pre-RT and weekly during treatment using the validated Prostate Cancer Symptom Indices (PCSI). The assessed symptoms were flow, dysuria, urgency, incontinence, frequency and nocturia using a Likert scale of 1 to 4 or 5. For this analysis, an increase by ≥2 levels in a symptom at any time during treatment compared to baseline was considered clinically significant. The dose volume histograms of the bladder were calculated. The Lyman-Kutcher-Burman (LKB), Relative Seriality (RS) and Logit NTCP models were used to fit the clinical data. The fitting of the different models was assessed through the area under the receiver operating characteristic curve (AUC), Akaike information criterion (AIC) and Odds Ratio methods. RESULTS: For the symptoms of urinary urgency, leakage, frequency and nocturia, the derived LKB model parameters were: 1) D(50) = 64.2Gy, m = 0.50, n = 1.0; 2) D(50) = 95.0Gy, m = 0.45, n = 0.50; 3) D(50) = 83.1Gy, m = 0.56, n = 1.00; and 4) D(50) = 85.4Gy, m = 0.60, n = 1.00, respectively. The AUC values for those symptoms were 0.66, 0.58, 0.64 and 0.64, respectively. The differences in AIC between the different models were less than 2 and ranged within 0.1 and 1.3. CONCLUSIONS: Different dose metrics were correlated with the symptoms of urgency, incontinence, frequency and nocturia. The symptoms of urinary flow and dysuria were poorly associated with dose. The values of the parameters of three NTCP models were determined for bladder regarding four acute urinary symptoms. All the models could fit the clinical data equally well. The NTCP predictions of urgency showed the best correlation with the patient reported outcomes.
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spelling pubmed-57973602018-02-12 Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy Mavroidis, Panayiotis Pearlstein, Kevin A. Dooley, John Sun, Jasmine Saripalli, Srinivas Das, Shiva K. Wang, Andrew Z. Chen, Ronald C. Radiat Oncol Research BACKGROUND: To estimate the radiobiological parameters of three popular normal tissue complication probability (NTCP) models, which describe the dose-response relations of bladder regarding different acute urinary symptoms during post-prostatectomy radiotherapy (RT). To evaluate the goodness-of-fit and the correlation of those models with those symptoms. METHODS: Ninety-three consecutive patients treated from 2010 to 2015 with post-prostatectomy image-guided intensity modulated radiotherapy (IMRT) were included in this study. Patient-reported urinary symptoms were collected pre-RT and weekly during treatment using the validated Prostate Cancer Symptom Indices (PCSI). The assessed symptoms were flow, dysuria, urgency, incontinence, frequency and nocturia using a Likert scale of 1 to 4 or 5. For this analysis, an increase by ≥2 levels in a symptom at any time during treatment compared to baseline was considered clinically significant. The dose volume histograms of the bladder were calculated. The Lyman-Kutcher-Burman (LKB), Relative Seriality (RS) and Logit NTCP models were used to fit the clinical data. The fitting of the different models was assessed through the area under the receiver operating characteristic curve (AUC), Akaike information criterion (AIC) and Odds Ratio methods. RESULTS: For the symptoms of urinary urgency, leakage, frequency and nocturia, the derived LKB model parameters were: 1) D(50) = 64.2Gy, m = 0.50, n = 1.0; 2) D(50) = 95.0Gy, m = 0.45, n = 0.50; 3) D(50) = 83.1Gy, m = 0.56, n = 1.00; and 4) D(50) = 85.4Gy, m = 0.60, n = 1.00, respectively. The AUC values for those symptoms were 0.66, 0.58, 0.64 and 0.64, respectively. The differences in AIC between the different models were less than 2 and ranged within 0.1 and 1.3. CONCLUSIONS: Different dose metrics were correlated with the symptoms of urgency, incontinence, frequency and nocturia. The symptoms of urinary flow and dysuria were poorly associated with dose. The values of the parameters of three NTCP models were determined for bladder regarding four acute urinary symptoms. All the models could fit the clinical data equally well. The NTCP predictions of urgency showed the best correlation with the patient reported outcomes. BioMed Central 2018-02-02 /pmc/articles/PMC5797360/ /pubmed/29394931 http://dx.doi.org/10.1186/s13014-018-0961-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Mavroidis, Panayiotis
Pearlstein, Kevin A.
Dooley, John
Sun, Jasmine
Saripalli, Srinivas
Das, Shiva K.
Wang, Andrew Z.
Chen, Ronald C.
Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy
title Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy
title_full Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy
title_fullStr Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy
title_full_unstemmed Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy
title_short Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy
title_sort fitting ntcp models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797360/
https://www.ncbi.nlm.nih.gov/pubmed/29394931
http://dx.doi.org/10.1186/s13014-018-0961-x
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