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Your search keyword '"van der Voort van Zyp, J.R.N."' showing total 44 results
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44 results on '"van der Voort van Zyp, J.R.N."'

4. Patient reported outcomes following MR-guided radiotherapy for prostate cancer: a systematic review and meta-analysis

Author

Westerhoff, J.M., primary, Lalmahomed, T.A., additional, Meijers, L., additional, Henke, L., additional, Teunissen, F.R., additional, Bruynzeel, A.M.E., additional, Alongi, F., additional, Hall, W.A., additional, Kishan, A.U., additional, Intven, M.P.W., additional, Verkooijen, H.M., additional, van der Voort van Zyp, J.R.N., additional, and Daamen, L.A., additional

Published
2024
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11. First-in-man: neurovascular-sparing magnetic resonance-guided adaptive radiotherapy for localized prostate cancer for preservation of erectile function

Author

Teunissen, F.R., primary, Wortel, R.C., additional, Van Der Velden, J.M., additional, Hes, J., additional, Van Melick, H.H.E., additional, Meijer, R.P., additional, Verkooijen, H.M., additional, De Groot-Van Breugel, E.N., additional, De Boer, J.C.J., additional, and Van Der Voort Van Zyp, J.R.N., additional

Published
2021
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13. Magnetic Resonance guided adaptive Radiotherapy (MRgRT) for localised prostate cancer: The first result from a prospective international registry for the evidence-based Introduction of MRgRT

Author

Teunissen, F.R., primary, Willigenburg, T., additional, Tree, A.C., additional, Hall, W.A., additional, Choi, S.L., additional, Choudhury, A., additional, Christodouleas, J.P., additional, De Boer, J.C.J., additional, De Groot-Van Breugel, E.N., additional, Kerkmeijer, L.G.W., additional, Pos, F.J., additional, Vesprini, D., additional, Verkooijen, H.M., additional, and Van Der Voort Van Zyp, J.R.N., additional

Published
2021
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15. OC-0612: The FLAME trial: benefit of a focal boost for prostate cancer on biochemical disease-free survival

Author

Kerkmeijer, L.G.W., primary, Groen, V.H., additional, Pos, F.J., additional, Haustermans, K., additional, Monninkhof, E.M., additional, Smeenk, R.J., additional, Kunze-Busch, M.C., additional, De Boer, H.C.J., additional, Van Der Voort Van Zyp, J.R.N., additional, Van Vulpen, M., additional, Draulans, C., additional, Van Den Bergh, L., additional, Isebaert, S., additional, and Van Der Heide, U.A., additional

Published
2020
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20. Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks

Author

Eppenhof, Koen A.J., Maspero, M., Savenije, M.H.F., de Boer, J.C.J., van der Voort van Zyp, J.R.N., Raaymakers, Bas W., Raaijmakers, Alexander, Veta, Mitko, van den Berg, C.A.T., Pluim, Josien P.W., Eppenhof, Koen A.J., Maspero, M., Savenije, M.H.F., de Boer, J.C.J., van der Voort van Zyp, J.R.N., Raaymakers, Bas W., Raaijmakers, Alexander, Veta, Mitko, van den Berg, C.A.T., and Pluim, Josien P.W.

Abstract

Purpose: To quickly and automatically propagate organ contours from pretreatment to fraction images in magnetic resonance (MR)-guided prostate external-beam radiotherapy. Methods: Five prostate cancer patients underwent 20 fractions of image-guided external-beam radiotherapy on a 1.5 T MR-Linac system. For each patient, a pretreatment T2-weighted three-dimensional (3D) MR imaging (MRI) scan was used to delineate the clinical target volume (CTV) contours. The same scan was repeated during each fraction, with the CTV contour being manually adapted if necessary. A convolutional neural network (CNN) was trained for combined image registration and contour propagation. The network estimated the propagated contour and a deformation field between the two input images. The training set consisted of a synthetically generated ground truth of randomly deformed images and prostate segmentations. We performed a leave-one-out cross-validation on the five patients and propagated the prostate segmentations from the pretreatment to the fraction scans. Three variants of the CNN, aimed at investigating supervision based on optimizing segmentation overlap, optimizing the registration, and a combination of the two were compared to results of the open-source deformable registration software package Elastix. Results: The neural networks trained on segmentation overlap or the combined objective achieved significantly better Hausdorff distances between predicted and ground truth contours than Elastix, at the much faster registration speed of 0.5 s. The CNN variant trained to optimize both the prostate overlap and deformation field, and the variant trained to only maximize the prostate overlap, produced the best propagation results. Conclusions: A CNN trained on maximizing prostate overlap and minimizing registration errors provides a fast and accurate method for deformable contour propagation for prostate MR-guided radiotherapy.

Published
2020

31. P1051 - Magnetic Resonance guided adaptive Radiotherapy (MRgRT) for localised prostate cancer: The first result from a prospective international registry for the evidence-based Introduction of MRgRT

Author

Teunissen, F.R., Willigenburg, T., Tree, A.C., Hall, W.A., Choi, S.L., Choudhury, A., Christodouleas, J.P., De Boer, J.C.J., De Groot-Van Breugel, E.N., Kerkmeijer, L.G.W., Pos, F.J., Vesprini, D., Verkooijen, H.M., and Van Der Voort Van Zyp, J.R.N.

Published
2021
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37. OC-0064: A prediction model for biochemical failure after salvage Iodine-125 prostate brachytherapy

Author

Peters, M., primary, Van der Voort van Zyp, J.R.N., additional, Moerland, M.A., additional, Hoekstra, C.J., additional, Van de Pol, S., additional, Westendorp, H., additional, Maenhout, M., additional, Kattevilder, R., additional, Verkooijen, H.M., additional, Van Rossum, P.S.N., additional, Ahmed, H.U., additional, Shah, T., additional, Emberton, M., additional, and Van Vulpen, M., additional

Published
2016
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38. PV-0038: Multivariable model development for mortality after total salvage Iodine-125 prostate brachytherapy

Author

Peters, M., primary, Van der Voort van Zyp, J.R.N., additional, Moerland, M.A., additional, Hoekstra, C.J., additional, Van de Pol, S., additional, Westendorp, H., additional, Maenhout, M., additional, Kattevilder, R., additional, Verkooijen, H.M., additional, Van Rossum, P.S.N., additional, Ahmed, H.U., additional, Shah, T., additional, Emberton, M., additional, and Van Vulpen, M., additional

Published
2016
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