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Development and internal validation of multivariable prediction models for biochemical failure after MRI-guided focal salvage high-dose-rate brachytherapy for radiorecurrent prostate cancer

BACKGROUND AND PURPOSE: Magnetic resonance-guided focal salvage high-dose-rate brachytherapy (FS-HDR-BT) for radiorecurrent prostate cancer (PCa) shows low toxicity rates. However, biochemical failure (BF) after treatment occurs frequently. We developed two prediction models for BF (Phoenix definiti...

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Autores principales: Willigenburg, Thomas, van Son, Marieke J., van de Pol, Sandrine M.G., Eppinga, Wietse S.C., Lagendijk, Jan J.W., de Boer, Hans C.J., Moerland, Marinus A., van der Voort van Zyp, Jochem R.N., Peters, Max
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261471/
https://www.ncbi.nlm.nih.gov/pubmed/34278009
http://dx.doi.org/10.1016/j.ctro.2021.06.005
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author Willigenburg, Thomas
van Son, Marieke J.
van de Pol, Sandrine M.G.
Eppinga, Wietse S.C.
Lagendijk, Jan J.W.
de Boer, Hans C.J.
Moerland, Marinus A.
van der Voort van Zyp, Jochem R.N.
Peters, Max
author_facet Willigenburg, Thomas
van Son, Marieke J.
van de Pol, Sandrine M.G.
Eppinga, Wietse S.C.
Lagendijk, Jan J.W.
de Boer, Hans C.J.
Moerland, Marinus A.
van der Voort van Zyp, Jochem R.N.
Peters, Max
author_sort Willigenburg, Thomas
collection PubMed
description BACKGROUND AND PURPOSE: Magnetic resonance-guided focal salvage high-dose-rate brachytherapy (FS-HDR-BT) for radiorecurrent prostate cancer (PCa) shows low toxicity rates. However, biochemical failure (BF) after treatment occurs frequently. We developed two prediction models for BF (Phoenix definition) with the aim of enhancing patient counselling before FS-HDR-BT and during follow-up. MATERIALS AND METHODS: A prospective cohort of 150 radiorecurrent PCa patients treated with FS-HDR-BT between 2013 and 2020 was used for model development and internal validation. Multivariable Cox Proportional Hazards regression was applied. For model 1, only pre-salvage variables were included as candidate predictors. For model 2, additional (post-)salvage characteristics were tested. After calibration, nomograms and webtools were constructed. Finally, three risk groups were identified. RESULTS: Sixty-one patients (41%) experienced BF. At baseline (model 1), age, gross tumour volume, pre-salvage PSA, and pre-salvage PSA doubling time (PSADT) were predictive of BF. During follow-up (model 2), age, pre-salvage PSA and PSADT, seminal vesicle involvement, post-salvage time to PSA nadir, and percentage PSA reduction were predictive of BF. The adjusted C-statistics were 0.73 (95% CI: 0.66–0.81) and 0.84 (95% CI: 0.78–0.90), respectively, with acceptable calibration. Estimated 2-year biochemical disease-free survival for the low-, intermediate-, and high-risk groups were 84%, 70%, and 31% (model 1), and 100%, 71%, and 5% (model 2). CONCLUSION: Two models are provided for prediction of BF in patients with radiorecurrent PCa treated with FS-HDR-BT. Based on pre- and post-salvage characteristics, we are able to identify patients with a high risk of BF. These findings can aid patient counselling for FS-HDR-BT.
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spelling pubmed-82614712021-07-16 Development and internal validation of multivariable prediction models for biochemical failure after MRI-guided focal salvage high-dose-rate brachytherapy for radiorecurrent prostate cancer Willigenburg, Thomas van Son, Marieke J. van de Pol, Sandrine M.G. Eppinga, Wietse S.C. Lagendijk, Jan J.W. de Boer, Hans C.J. Moerland, Marinus A. van der Voort van Zyp, Jochem R.N. Peters, Max Clin Transl Radiat Oncol Original Research Article BACKGROUND AND PURPOSE: Magnetic resonance-guided focal salvage high-dose-rate brachytherapy (FS-HDR-BT) for radiorecurrent prostate cancer (PCa) shows low toxicity rates. However, biochemical failure (BF) after treatment occurs frequently. We developed two prediction models for BF (Phoenix definition) with the aim of enhancing patient counselling before FS-HDR-BT and during follow-up. MATERIALS AND METHODS: A prospective cohort of 150 radiorecurrent PCa patients treated with FS-HDR-BT between 2013 and 2020 was used for model development and internal validation. Multivariable Cox Proportional Hazards regression was applied. For model 1, only pre-salvage variables were included as candidate predictors. For model 2, additional (post-)salvage characteristics were tested. After calibration, nomograms and webtools were constructed. Finally, three risk groups were identified. RESULTS: Sixty-one patients (41%) experienced BF. At baseline (model 1), age, gross tumour volume, pre-salvage PSA, and pre-salvage PSA doubling time (PSADT) were predictive of BF. During follow-up (model 2), age, pre-salvage PSA and PSADT, seminal vesicle involvement, post-salvage time to PSA nadir, and percentage PSA reduction were predictive of BF. The adjusted C-statistics were 0.73 (95% CI: 0.66–0.81) and 0.84 (95% CI: 0.78–0.90), respectively, with acceptable calibration. Estimated 2-year biochemical disease-free survival for the low-, intermediate-, and high-risk groups were 84%, 70%, and 31% (model 1), and 100%, 71%, and 5% (model 2). CONCLUSION: Two models are provided for prediction of BF in patients with radiorecurrent PCa treated with FS-HDR-BT. Based on pre- and post-salvage characteristics, we are able to identify patients with a high risk of BF. These findings can aid patient counselling for FS-HDR-BT. Elsevier 2021-06-29 /pmc/articles/PMC8261471/ /pubmed/34278009 http://dx.doi.org/10.1016/j.ctro.2021.06.005 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Research Article
Willigenburg, Thomas
van Son, Marieke J.
van de Pol, Sandrine M.G.
Eppinga, Wietse S.C.
Lagendijk, Jan J.W.
de Boer, Hans C.J.
Moerland, Marinus A.
van der Voort van Zyp, Jochem R.N.
Peters, Max
Development and internal validation of multivariable prediction models for biochemical failure after MRI-guided focal salvage high-dose-rate brachytherapy for radiorecurrent prostate cancer
title Development and internal validation of multivariable prediction models for biochemical failure after MRI-guided focal salvage high-dose-rate brachytherapy for radiorecurrent prostate cancer
title_full Development and internal validation of multivariable prediction models for biochemical failure after MRI-guided focal salvage high-dose-rate brachytherapy for radiorecurrent prostate cancer
title_fullStr Development and internal validation of multivariable prediction models for biochemical failure after MRI-guided focal salvage high-dose-rate brachytherapy for radiorecurrent prostate cancer
title_full_unstemmed Development and internal validation of multivariable prediction models for biochemical failure after MRI-guided focal salvage high-dose-rate brachytherapy for radiorecurrent prostate cancer
title_short Development and internal validation of multivariable prediction models for biochemical failure after MRI-guided focal salvage high-dose-rate brachytherapy for radiorecurrent prostate cancer
title_sort development and internal validation of multivariable prediction models for biochemical failure after mri-guided focal salvage high-dose-rate brachytherapy for radiorecurrent prostate cancer
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261471/
https://www.ncbi.nlm.nih.gov/pubmed/34278009
http://dx.doi.org/10.1016/j.ctro.2021.06.005
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