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649 results on '"Belderbos, José"'

1. Real-World Acute Toxicity and 90-Day Mortality in Patients With Stage I NSCLC Treated With Stereotactic Body Radiotherapy

Author

van Rossum, Peter S.N., Wolfhagen, Nienke, van Bockel, Liselotte W., Coremans, Ida E.M., van Es, Corine A., van der Geest, Annelies M., De Jaeger, Katrien E.A., Wachters, Barbara, Knol, Hans P., Koppe, Friederike L.A., Pomp, Jacqueline, Reymen, Bart J.T., Schinagl, Dominic A.X., Spoelstra, Femke O.B., Tissing-Tan, Caroline J.A., Peters, Max, van der Voort van Zijp, Noëlle C.M.G., van der Wel, Antoinet M., Wiegman, Erwin M., Wijsman, Robin, Damhuis, Ronald A.M., and Belderbos, José S.A.

Published
2024
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7. 18F-FDG-PET guided vs whole tumour radiotherapy dose escalation in patients with locally advanced non-small cell lung cancer (PET-Boost): Results from a randomised clinical trial

Author

Cooke, Saskia A., de Ruysscher, Dirk, Reymen, Bart, Lambrecht, Maarten, Fredberg Persson, Gitte, Faivre-Finn, Corinne, Dieleman, Edith M.T., Lewensohn, Rolf, van Diessen, Judi N.A., Sikorska, Karolina, Lalezari, Ferry, Vogel, Wouter, van Elmpt, Wouter, Damen, Eugène M.F., Sonke, Jan-Jakob, and Belderbos, José S.A.

Published
2023
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8. The Dutch Lung Cancer Audit-Radiotherapy (DLCA-R): Real-World Data on Stage III Non-Small Cell Lung Cancer Patients Treated With Curative Chemoradiation

Author

Dieleman, Edith, van der Woude, Lisa, van Os, Rob, van Bockel, Liselotte, Coremans, Ida, van Es, Corine, De Jaeger, Katrien, Knol, Hans Peter, Kolff, Willemijn, Koppe, Frederike, Pomp, Jacqueline, Reymen, Bart, Schinagl, Dominic, Spoelstra, Femke, Tissing-Tan, Caroline, van der Voort van Zyp, Noelle, van der Wel, Antoinet, Wijsman, Robin, Dielwart, Michel, Wiegman, Erwin, Damhuis, Ronald, and Belderbos, Jose

Published
2023
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14. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.

Author

Deist, Timo M, Dankers, Frank JWM, Valdes, Gilmer, Wijsman, Robin, Hsu, I-Chow, Oberije, Cary, Lustberg, Tim, van Soest, Johan, Hoebers, Frank, Jochems, Arthur, El Naqa, Issam, Wee, Leonard, Morin, Olivier, Raleigh, David R, Bots, Wouter, Kaanders, Johannes H, Belderbos, José, Kwint, Margriet, Solberg, Timothy, Monshouwer, René, Bussink, Johan, Dekker, Andre, and Lambin, Philippe

Subjects
Humans, Neoplasms, Prognosis, Area Under Curve, Logistic Models, Decision Trees, Software, Chemoradiotherapy, Machine Learning, Neural Networks, Computer, classification, machine learning, outcome prediction, predictive modeling, radiotherapy, Cancer, Other Physical Sciences, Biomedical Engineering, Oncology and Carcinogenesis, Nuclear Medicine & Medical Imaging
Abstract

PurposeMachine learning classification algorithms (classifiers) for prediction of treatment response are becoming more popular in radiotherapy literature. General Machine learning literature provides evidence in favor of some classifier families (random forest, support vector machine, gradient boosting) in terms of classification performance. The purpose of this study is to compare such classifiers specifically for (chemo)radiotherapy datasets and to estimate their average discriminative performance for radiation treatment outcome prediction.MethodsWe collected 12 datasets (3496 patients) from prior studies on post-(chemo)radiotherapy toxicity, survival, or tumor control with clinical, dosimetric, or blood biomarker features from multiple institutions and for different tumor sites, that is, (non-)small-cell lung cancer, head and neck cancer, and meningioma. Six common classification algorithms with built-in feature selection (decision tree, random forest, neural network, support vector machine, elastic net logistic regression, LogitBoost) were applied on each dataset using the popular open-source R package caret. The R code and documentation for the analysis are available online (https://github.com/timodeist/classifier_selection_code). All classifiers were run on each dataset in a 100-repeated nested fivefold cross-validation with hyperparameter tuning. Performance metrics (AUC, calibration slope and intercept, accuracy, Cohen's kappa, and Brier score) were computed. We ranked classifiers by AUC to determine which classifier is likely to also perform well in future studies. We simulated the benefit for potential investigators to select a certain classifier for a new dataset based on our study (pre-selection based on other datasets) or estimating the best classifier for a dataset (set-specific selection based on information from the new dataset) compared with uninformed classifier selection (random selection).ResultsRandom forest (best in 6/12 datasets) and elastic net logistic regression (best in 4/12 datasets) showed the overall best discrimination, but there was no single best classifier across datasets. Both classifiers had a median AUC rank of 2. Preselection and set-specific selection yielded a significant average AUC improvement of 0.02 and 0.02 over random selection with an average AUC rank improvement of 0.42 and 0.66, respectively.ConclusionRandom forest and elastic net logistic regression yield higher discriminative performance in (chemo)radiotherapy outcome and toxicity prediction than other studied classifiers. Thus, one of these two classifiers should be the first choice for investigators when building classification models or to benchmark one's own modeling results against. Our results also show that an informed preselection of classifiers based on existing datasets can improve discrimination over random selection.

Published
2018

16. Role of Postoperative Radiotherapy in the Management for Resected NSCLC – Decision Criteria in Clinical Routine Pre- and Post-LungART

Author

Süveg, Krisztian, Le Pechoux, Cecile, Faivre-Finn, Corinne, Putora, Paul M., De Ruysscher, Dirk, Widder, Joachim, Van Houtte, Paul, Troost, Esther G.C., Slotman, Ben J., Ramella, Sara, Pöttgen, Christoph, Peeters, Stephanie T.H., Nestle, Ursula, McDonald, Fiona, Dziadziuszko, Rafal, Belderbos, José, Ricardi, Umberto, Manapov, Farkhad, Lievens, Yolande, Geets, Xavier, Dieckmann, Karin, Guckenberger, Matthias, Andratschke, Nicolaus, and Glatzer, Markus

Published
2021
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19. Phase 3 Randomized Trial of Prophylactic Cranial Irradiation With or Without Hippocampus Avoidance in SCLC (NCT01780675)

Author

Belderbos, José S.A., De Ruysscher, Dirk K.M., De Jaeger, Katrien, Koppe, Friederike, Lambrecht, Maarten L.F., Lievens, Yolande N., Dieleman, Edith M.T., Jaspers, Jaap P.M., Van Meerbeeck, Jan P., Ubbels, Fred, Kwint, Margriet H., Kuenen, Marianne A., Deprez, Sabine, De Ruiter, Michiel B., Boogerd, Willem, Sikorska, Karolina, Van Tinteren, Harm, and Schagen, Sanne B.

Published
2021
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20. Role of radiotherapy in the management of brain metastases of NSCLC – Decision criteria in clinical routine

Author

Glatzer, Markus, Faivre-Finn, Corinne, De Ruysscher, Dirk, Widder, Joachim, Van Houtte, Paul, Troost, Esther G.C., Slotman, Ben J., Ramella, Sara, Pöttgen, Christoph, Peeters, Stephanie T.H., Nestle, Ursula, McDonald, Fiona, Le Pechoux, Cecile, Dziadziuszko, Rafal, Belderbos, José, Ricardi, Umberto, Manapov, Farkhad, Lievens, Yolande, Geets, Xavier, Dieckmann, Karin, Guckenberger, Matthias, Andratschke, Nicolaus, Süveg, Krisztian, and Putora, Paul M.

Published
2021
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22. Once daily versus twice-daily radiotherapy in the management of limited disease small cell lung cancer – Decision criteria in routine practise

Author

Glatzer, Markus, Faivre-Finn, Corinne, De Ruysscher, Dirk, Widder, Joachim, Van Houtte, Paul, Troost, Esther G.C., Dahele, MR, Slotman, Ben J., Ramella, Sara, Pöttgen, Christoph, Peeters, Stephanie T.H., Nestle, Ursula, McDonald, Fiona, Le Pechoux, Cecile, Dziadziuszko, Rafal, Belderbos, José, and Putora, Paul M.

Published
2020
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24. Correlating Dose Variables with Local Tumor Control in Stereotactic Body Radiation Therapy for Early-Stage Non-Small Cell Lung Cancer: A Modeling Study on 1500 Individual Treatments

Author

Klement, Rainer J., Sonke, Jan-Jakob, Allgäuer, Michael, Andratschke, Nicolaus, Appold, Steffen, Belderbos, José, Belka, Claus, Blanck, Oliver, Dieckmann, Karin, Eich, Hans T., Mantel, Frederick, Eble, Michael, Hope, Andrew, Grosu, Anca L., Nevinny-Stickel, Meinhard, Semrau, Sabine, Sweeney, Reinhart A., Hörner-Rieber, Juliane, Werner-Wasik, Maria, Engenhart-Cabillic, Rita, Ye, Hong, Grills, Inga, and Guckenberger, Matthias

Published
2020
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27. The role of postoperative thoracic radiotherapy and prophylactic cranial irradiation in early stage small cell lung cancer: Patient selection among ESTRO experts

Author

Putora, Paul M., De Ruysscher, Dirk, Glatzer, Markus, Widder, Joachim, Van Houtte, Paul, Troost, Esther G.C., Slotman, Ben J., Ramella, Sara, Pöttgen, Christoph, Peeters, Stephanie, Nestle, Ursula, McDonald, Fiona, Le Pechoux, Cecile, Dziadziuszko, Rafal, Belderbos, José, and Faivre-Finn, Corinne

Published
2020
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31. Estimation of the α/β ratio of non-small cell lung cancer treated with stereotactic body radiotherapy

Author

Klement, Rainer J., Sonke, Jan-Jakob, Allgäuer, Michael, Andratschke, Nicolaus, Appold, Steffen, Belderbos, José, Belka, Claus, Dieckmann, Karin, Eich, Hans T., Flentje, Michael, Grills, Inga, Eble, Michael, Hope, Andrew, Grosu, Anca L., Semrau, Sabine, Sweeney, Reinhart A., Hörner-Rieber, Juliane, Werner-Wasik, Maria, Engenhart-Cabillic, Rita, Ye, Hong, and Guckenberger, Matthias

Published
2020
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32. Patient-reported outcomes after personalised dose-escalation for stage II-III non-small-cell lung cancer patients:Results from the randomised ARTFORCE PET-Boost trial

Author

Cooke, Saskia A., Belderbos, José S.A., Reymen, Bart, Lambrecht, Maarten, Fredberg Persson, Gitte, Faivre-Finn, Corinne, Dieleman, Edith M.T., van Diessen, Judi N.A., Sonke, Jan Jakob, de Ruysscher, Dirk, Cooke, Saskia A., Belderbos, José S.A., Reymen, Bart, Lambrecht, Maarten, Fredberg Persson, Gitte, Faivre-Finn, Corinne, Dieleman, Edith M.T., van Diessen, Judi N.A., Sonke, Jan Jakob, and de Ruysscher, Dirk

Abstract

Background and purpose The ultimate challenge in dose-escalation trials lies in finding the balance between benefit and toxicity. We examined patient-reported outcomes (PROs), including health-related quality of life (HRQoL) in patients with locally advanced non-small cell lung cancer (LA-NSCLC), treated with dose-escalated radiotherapy. Materials and methods The international, randomised, phase 2 ARTFORCE PET-Boost study (NCT01024829) aimed to improve 1-year freedom from local failure rates in patients with stage II-III NSCLC, with a ≥ 4 cm primary tumour. Treatment consisted of an individualised, escalated fraction dose, either to the primary tumour as a whole or to its most FDG-avid subvolume (24 x 3.0–5.4 Gy). Patients received sequential or concurrent chemoradiotherapy, or radiotherapy only. Patients were asked to complete the EORTC QLQ-C30, QLQ-LC13, and the EuroQol-5D at eight timepoints. We assessed the effect of dose-escalation on C30 sum score through mixed-modelling and evaluated clinically meaningful changes for all outcomes. Results Between Apr-2010 and Sep-2017, 107 patients were randomised; 102 were included in the current analysis. Compliance rates: baseline 86.3%, 3-months 85.3%, 12-months 80.3%; lowest during radiation treatment 35.0%. A linear mixed-effect (LME) model revealed no significant change in overall HRQoL over time, and no significant difference between the two treatment groups. Physical functioning showed a gradual decline in both groups during treatment and at 18-months follow-up, while clinically meaningful worsening of dyspnoea was seen mainly at 3- and 6-months. Conclusion In patients with LA-NSCLC treated with two dose-escalation strategies, the average patient-reported HRQoL remained stable in both groups, despite frequent patient-reported symptoms, including dyspnoea, dysphagia, and fatigue., Background and purpose: The ultimate challenge in dose-escalation trials lies in finding the balance between benefit and toxicity. We examined patient-reported outcomes (PROs), including health-related quality of life (HRQoL) in patients with locally advanced non-small cell lung cancer (LA-NSCLC), treated with dose-escalated radiotherapy. Materials and methods: The international, randomised, phase 2 ARTFORCE PET-Boost study (NCT01024829) aimed to improve 1-year freedom from local failure rates in patients with stage II-III NSCLC, with a ≥ 4 cm primary tumour. Treatment consisted of an individualised, escalated fraction dose, either to the primary tumour as a whole or to its most FDG-avid subvolume (24 x 3.0–5.4 Gy). Patients received sequential or concurrent chemoradiotherapy, or radiotherapy only. Patients were asked to complete the EORTC QLQ-C30, QLQ-LC13, and the EuroQol-5D at eight timepoints. We assessed the effect of dose-escalation on C30 sum score through mixed-modelling and evaluated clinically meaningful changes for all outcomes. Results: Between Apr-2010 and Sep-2017, 107 patients were randomised; 102 were included in the current analysis. Compliance rates: baseline 86.3%, 3-months 85.3%, 12-months 80.3%; lowest during radiation treatment 35.0%. A linear mixed-effect (LME) model revealed no significant change in overall HRQoL over time, and no significant difference between the two treatment groups. Physical functioning showed a gradual decline in both groups during treatment and at 18-months follow-up, while clinically meaningful worsening of dyspnoea was seen mainly at 3- and 6-months. Conclusion: In patients with LA-NSCLC treated with two dose-escalation strategies, the average patient-reported HRQoL remained stable in both groups, despite frequent patient-reported symptoms, including dyspnoea, dysphagia, and fatigue.

Published
2024

34. Consolidative thoracic radiotherapy in stage IV small cell lung cancer: Selection of patients amongst European IASLC and ESTRO experts

Author

Putora, Paul Martin, Glatzer, Markus, De Ruysscher, Dirk, Faivre-Finn, Corinne, Belderbos, José, Besse, Benjamin, Blackhall, Fiona, Califano, Raffaele, Cappuzzo, Federico, de Marinis, Filippo, Dziadiuszko, Rafal, Felip, Enriqueta, Früh, Martin, Garrido, Pilar, Le Pechoux, Cecile, McDonald, Fiona, Nestle, Ursula, Novello, Silvia, Brien, Mary O‘, Paz Ares, Luis, Peeters, Stephanie, Pöttgen, Christoph, Ramella, Sara, Reck, Martin, Troost, Esther G.C., Van Houtte, Paul, Westeel, Virginie, Widder, Joachim, Mornex, Francoise, and Slotman, Ben J.

Published
2019
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36. Prophylactic cranial irradiation in stage IV small cell lung cancer: Selection of patients amongst European IASLC and ESTRO experts

Author

Putora, Paul M., Glatzer, Markus, Belderbos, José, Besse, Benjamin, Blackhall, Fiona, Califano, Raffaele, Cappuzzo, Federico, de Marinis, Filippo, Dziadziuszko, Rafal, Felip, Enriqueta, Faivre-Finn, Corinne, Früh, Martin, Garrido, Pilar, Le Pechoux, Cecila, McDonald, Fiona, Nestle, Ursula, Novello, Silvia, O‘Brien, Mary, Paz Ares, Luis, Peeters, Stephanie, Pöttgen, Christoph, Ramella, Sara, Reck, Martin, Slotman, Ben, Troost, Esther G.C., Van Houtte, Paul, Westeel, Virginie, Widder, Joachim, Mornex, Francoise, and De Ruysscher, Dirk

Published
2019
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42. Semi-automatic hippocampus delineation algorithm using surface fairing

Author

Bartel, Fabian, Vrenken, H., van Herk, Marcel, de Ruiter, Michiel B., Belderbos, Jose, Hulshof, Joost, de Munck, Jan C., Magjarevic, Ratko, Editor-in-chief, Ładyżyński, Piotr, Series editor, Ibrahim, Fatimah, Series editor, Lacković, Igor, Series editor, Rock, Emilio Sacristan, Series editor, Eskola, Hannu, editor, Väisänen, Outi, editor, Viik, Jari, editor, and Hyttinen, Jari, editor

Published
2018
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47. ESTRO ACROP guidelines for target volume definition in the treatment of locally advanced non-small cell lung cancer

Author

Nestle, Ursula, De Ruysscher, Dirk, Ricardi, Umberto, Geets, Xavier, Belderbos, Jose, Pöttgen, Christoph, Dziadiuszko, Rafal, Peeters, Stephanie, Lievens, Yolande, Hurkmans, Coen, Slotman, Ben, Ramella, Sara, Faivre-Finn, Corinne, McDonald, Fiona, Manapov, Farkhad, Putora, Paul Martin, LePéchoux, Cécile, and Van Houtte, Paul

Published
2018
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