Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists want?

Autor: Huet-Dastarac M; Molecular Imaging, Radiation and Oncology lab (MIRO), UCLouvain, Brussels, Belgium. Electronic address: margerie.huet@uclouvain.be., van Acht NMC; Catharina Hospital Eindhoven - department of radiation oncology, Eindhoven, The Netherlands; Eindhoven University of Technology - Department of Electrical Engineering and Department of Applied Physics and Science Education, Eindhoven, The Netherlands., Maruccio FC; The Netherlands Cancer Institute (NKI), Department of Radiation Oncology, Amsterdam, The Netherlands., van Aalst JE; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, The Netherlands; University of Twente, Department of Technical Medicine, Enschede, The Netherlands., van Oorschodt JCJ; Catharina Hospital Eindhoven - department of radiation oncology, Eindhoven, The Netherlands; Eindhoven University of Technology - Department of Electrical Engineering and Department of Applied Physics and Science Education, Eindhoven, The Netherlands., Cnossen F; University of Groningen, Department of Artificial Intelligence, Groningen, The Netherlands., Janssen TM; The Netherlands Cancer Institute (NKI), Department of Radiation Oncology, Amsterdam, The Netherlands., Brouwer CL; University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, Groningen, The Netherlands., Barragan Montero A; Molecular Imaging, Radiation and Oncology lab (MIRO), UCLouvain, Brussels, Belgium., Hurkmans CW; Catharina Hospital Eindhoven - department of radiation oncology, Eindhoven, The Netherlands; Eindhoven University of Technology - Department of Electrical Engineering and Department of Applied Physics and Science Education, Eindhoven, The Netherlands.

Publikováno v: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology [Radiother Oncol] 2024 Dec; Vol. 201, pp. 110545. Date of Electronic Publication: 2024 Sep 24.

Evaluating the effect of higher Monte Carlo statistical uncertainties on accumulated doses after daily adaptive fractionated radiotherapy in prostate cancer.

Autor: Jagt TZ; Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands., Janssen TM; Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands., Sonke JJ; Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Publikováno v: Physics and imaging in radiation oncology [Phys Imaging Radiat Oncol] 2024 Sep 05; Vol. 32, pp. 100636. Date of Electronic Publication: 2024 Sep 05 (Print Publication: 2024).

A margin recipe for the management of intra-fraction target motion in radiotherapy.

Autor: Janssen TM; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands., van der Heide UA; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands., Remeijer P; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands., Sonke JJ; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands., van der Bijl E; Department of Radiation Oncology, Radboud University Nijmegen Medical Center, The Netherlands.

Publikováno v: Physics and imaging in radiation oncology [Phys Imaging Radiat Oncol] 2022 Nov 14; Vol. 24, pp. 159-166. Date of Electronic Publication: 2022 Nov 14 (Print Publication: 2022).

Explaining the dosimetric impact of contouring errors in head and neck radiotherapy.

Autor: González PJ; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands., Simões R; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands., Kiers K; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands., Janssen TM; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

Publikováno v: Biomedical physics & engineering express [Biomed Phys Eng Express] 2022 Jul 01; Vol. 8 (5). Date of Electronic Publication: 2022 Jul 01.

First multicentre experience of SABR for lymph node and liver oligometastatic disease on the unity MR-Linac.

Autor: Janssen TM; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands., Aitken K; Department of Radiotherapy, The Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Sutton, UK., Alongi F; Advanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Negrar, Verona, Italy; University of Brescia., Barry A; Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada., Bernchou U; Laboratory of Radiation Physics and Department of Oncology, Odense University Hospital, Odense, Denmark.; Department of Clinical Research, University of Southern Denmark, Odense, Denmark., Boeke S; Department for Radiation Oncology, University Hospital Tübingen, Tübingen, Germany., Hall WA; Department of Radiation Oncology, Medical College of Wisconsin, United States., Hosni A; Radiation Medicine Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada., Kroon PS; Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands., Nachbar M; Section for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany., Saeed H; Department of Radiation Oncology, Medical College of Wisconsin, United States., Jürgenliemk-Schulz IM; Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands., Schytte T; Laboratory of Radiation Physics and Department of Oncology, Odense University Hospital, Odense, Denmark.; Department of Clinical Research, University of Southern Denmark, Odense, Denmark., Verkooijen HM; Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht, The Netherlands., Nowee ME; Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

Publikováno v: Technical innovations & patient support in radiation oncology [Tech Innov Patient Support Radiat Oncol] 2022 May 10; Vol. 22, pp. 50-54. Date of Electronic Publication: 2022 May 10 (Print Publication: 2022).