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Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer

Background: Yttrium-90 radioembolization (RE) plays an important role in the treatment of liver malignancies. Optimal patient selection is crucial for an effective and safe treatment. In this study, we aim to validate the prognostic performance of a previously established random survival forest (RSF...

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Autores principales: Fabritius, Matthias Philipp, Seidensticker, Max, Rueckel, Johannes, Heinze, Constanze, Pech, Maciej, Paprottka, Karolin Johanna, Paprottka, Philipp Marius, Topalis, Johanna, Bender, Andreas, Ricke, Jens, Mittermeier, Andreas, Ingrisch, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396945/
https://www.ncbi.nlm.nih.gov/pubmed/34441964
http://dx.doi.org/10.3390/jcm10163668
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author Fabritius, Matthias Philipp
Seidensticker, Max
Rueckel, Johannes
Heinze, Constanze
Pech, Maciej
Paprottka, Karolin Johanna
Paprottka, Philipp Marius
Topalis, Johanna
Bender, Andreas
Ricke, Jens
Mittermeier, Andreas
Ingrisch, Michael
author_facet Fabritius, Matthias Philipp
Seidensticker, Max
Rueckel, Johannes
Heinze, Constanze
Pech, Maciej
Paprottka, Karolin Johanna
Paprottka, Philipp Marius
Topalis, Johanna
Bender, Andreas
Ricke, Jens
Mittermeier, Andreas
Ingrisch, Michael
author_sort Fabritius, Matthias Philipp
collection PubMed
description Background: Yttrium-90 radioembolization (RE) plays an important role in the treatment of liver malignancies. Optimal patient selection is crucial for an effective and safe treatment. In this study, we aim to validate the prognostic performance of a previously established random survival forest (RSF) with an external validation cohort from a different national center. Furthermore, we compare outcome prediction models with different established metrics. Methods: A previously established RSF model, trained on a consecutive cohort of 366 patients who had received RE due to primary or secondary liver tumor at a national center (center 1), was used to predict the outcome of an independent consecutive cohort of 202 patients from a different national center (center 2) and vice versa. Prognostic performance was evaluated using the concordance index (C-index) and the integrated Brier score (IBS). The prognostic importance of designated baseline parameters was measured with the minimal depth concept, and the influence on the predicted outcome was analyzed with accumulated local effects plots. RSF values were compared to conventional cox proportional hazards models in terms of C-index and IBS. Results: The established RSF model achieved a C-index of 0.67 for center 2, comparable to the results obtained for center 1, which it was trained on (0.66). The RSF model trained on center 2 achieved a C-index of 0.68 on center 2 data and 0.66 on center 1 data. CPH models showed comparable results on both cohorts, with C-index ranging from 0.68 to 0.72. IBS validation showed more differentiated results depending on which cohort was trained on and which cohort was predicted (range: 0.08 to 0.20). Baseline cholinesterase was the most important variable for survival prediction. Conclusion: The previously developed predictive RSF model was successfully validated with an independent external cohort. C-index and IBS are suitable metrics to compare outcome prediction models, with IBS showing more differentiated results. The findings corroborate that survival after RE is critically determined by functional hepatic reserve and thus baseline liver function should play a key role in patient selection.
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spelling pubmed-83969452021-08-28 Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer Fabritius, Matthias Philipp Seidensticker, Max Rueckel, Johannes Heinze, Constanze Pech, Maciej Paprottka, Karolin Johanna Paprottka, Philipp Marius Topalis, Johanna Bender, Andreas Ricke, Jens Mittermeier, Andreas Ingrisch, Michael J Clin Med Article Background: Yttrium-90 radioembolization (RE) plays an important role in the treatment of liver malignancies. Optimal patient selection is crucial for an effective and safe treatment. In this study, we aim to validate the prognostic performance of a previously established random survival forest (RSF) with an external validation cohort from a different national center. Furthermore, we compare outcome prediction models with different established metrics. Methods: A previously established RSF model, trained on a consecutive cohort of 366 patients who had received RE due to primary or secondary liver tumor at a national center (center 1), was used to predict the outcome of an independent consecutive cohort of 202 patients from a different national center (center 2) and vice versa. Prognostic performance was evaluated using the concordance index (C-index) and the integrated Brier score (IBS). The prognostic importance of designated baseline parameters was measured with the minimal depth concept, and the influence on the predicted outcome was analyzed with accumulated local effects plots. RSF values were compared to conventional cox proportional hazards models in terms of C-index and IBS. Results: The established RSF model achieved a C-index of 0.67 for center 2, comparable to the results obtained for center 1, which it was trained on (0.66). The RSF model trained on center 2 achieved a C-index of 0.68 on center 2 data and 0.66 on center 1 data. CPH models showed comparable results on both cohorts, with C-index ranging from 0.68 to 0.72. IBS validation showed more differentiated results depending on which cohort was trained on and which cohort was predicted (range: 0.08 to 0.20). Baseline cholinesterase was the most important variable for survival prediction. Conclusion: The previously developed predictive RSF model was successfully validated with an independent external cohort. C-index and IBS are suitable metrics to compare outcome prediction models, with IBS showing more differentiated results. The findings corroborate that survival after RE is critically determined by functional hepatic reserve and thus baseline liver function should play a key role in patient selection. MDPI 2021-08-19 /pmc/articles/PMC8396945/ /pubmed/34441964 http://dx.doi.org/10.3390/jcm10163668 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fabritius, Matthias Philipp
Seidensticker, Max
Rueckel, Johannes
Heinze, Constanze
Pech, Maciej
Paprottka, Karolin Johanna
Paprottka, Philipp Marius
Topalis, Johanna
Bender, Andreas
Ricke, Jens
Mittermeier, Andreas
Ingrisch, Michael
Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer
title Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer
title_full Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer
title_fullStr Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer
title_full_unstemmed Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer
title_short Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer
title_sort bi-centric independent validation of outcome prediction after radioembolization of primary and secondary liver cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396945/
https://www.ncbi.nlm.nih.gov/pubmed/34441964
http://dx.doi.org/10.3390/jcm10163668
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