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Radiotherapy quality assurance in the PRO-GLIO trial : results from a dummy run comparing experts across twelve institutions in two Scandinavian countries

Heggebø, Liv Cathrine ; Hellebust, Taran Paulsen ; Henry, Thomas ; Fjæra, Lars Fredrik ; Ottestad, Andreas ; Rylander, Hillevi ; Hervani, Maziar ; Evensen, Morten Egeberg ; Gustafsson, Magnus and Blakstad, Hanne , et al. (2026) In Clinical and Translational Radiation Oncology 60.
Abstract

Background: Target volume and organ of interest (OOI) contouring and treatment planning for IDH-mutated gliomas CNS WHO grades 2 and 3 are subject to interindividual variation. We aimed to assess this variation and heighten delineation awareness as a quality assurance measure in the PRO-GLIO trial. Methods: Five experts established consensus delineations for target volumes and defined OOI in two IDH-mutated gliomas cases. Next, target volumes and OOI were delineated by experts from 12 treatment centers participating in the PRO-GLIO trial, and by deep learning segmentation (DLS). These structures were compared to consensus contours based on predefined quantitative and qualitative parameters. Proton and photon treatment planning were... (More)

Background: Target volume and organ of interest (OOI) contouring and treatment planning for IDH-mutated gliomas CNS WHO grades 2 and 3 are subject to interindividual variation. We aimed to assess this variation and heighten delineation awareness as a quality assurance measure in the PRO-GLIO trial. Methods: Five experts established consensus delineations for target volumes and defined OOI in two IDH-mutated gliomas cases. Next, target volumes and OOI were delineated by experts from 12 treatment centers participating in the PRO-GLIO trial, and by deep learning segmentation (DLS). These structures were compared to consensus contours based on predefined quantitative and qualitative parameters. Proton and photon treatment planning were performed on the consensus delineations by 11 centers. Results: Median dice similarity coefficient (DSC) for clinical target volume (CTV) was 0.92 for both cases, whereas the median 95th percentile Hausdorff distance for CTV was 0.54 cm and 0.65 cm. Larger variability in DSC and volume size was seen for OOI, e.g., a median DSC of 0.47 and 0.64 for the optic chiasm and between 0.61 and 0.77 for the hippocampi. DSC-derived DLS-values were within the range of manual delineations for all OOI. Conclusions: Delineation variation between study centers was minor for target volumes, especially for DSC of CTV. Variability was considerably higher for several OOI, representing a potential hazard not least with new and more precise radiotherapy techniques. Interestingly, DLS performed OOI-segmentation within the range of manual experts and represents a reasonable OOI-segmentation alternative in the future.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Deep learning segmentation, IDH-mutated glioma, Interobserver variability, Quality assurance
in
Clinical and Translational Radiation Oncology
volume
60
article number
101220
publisher
Elsevier
external identifiers
  • pmid:42383068
  • scopus:105042615574
ISSN
2405-6308
DOI
10.1016/j.ctro.2026.101220
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2026 The Author(s). Published by Elsevier B.V. on behalf of European Society for Radiotherapy and Oncology. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/
id
c41065ff-ab78-44e9-bfe9-770ca54844f0
date added to LUP
2026-07-23 14:51:11
date last changed
2026-09-17 18:54:10
@article{c41065ff-ab78-44e9-bfe9-770ca54844f0,
  abstract     = {{<p>Background: Target volume and organ of interest (OOI) contouring and treatment planning for IDH-mutated gliomas CNS WHO grades 2 and 3 are subject to interindividual variation. We aimed to assess this variation and heighten delineation awareness as a quality assurance measure in the PRO-GLIO trial. Methods: Five experts established consensus delineations for target volumes and defined OOI in two IDH-mutated gliomas cases. Next, target volumes and OOI were delineated by experts from 12 treatment centers participating in the PRO-GLIO trial, and by deep learning segmentation (DLS). These structures were compared to consensus contours based on predefined quantitative and qualitative parameters. Proton and photon treatment planning were performed on the consensus delineations by 11 centers. Results: Median dice similarity coefficient (DSC) for clinical target volume (CTV) was 0.92 for both cases, whereas the median 95th percentile Hausdorff distance for CTV was 0.54 cm and 0.65 cm. Larger variability in DSC and volume size was seen for OOI, e.g., a median DSC of 0.47 and 0.64 for the optic chiasm and between 0.61 and 0.77 for the hippocampi. DSC-derived DLS-values were within the range of manual delineations for all OOI. Conclusions: Delineation variation between study centers was minor for target volumes, especially for DSC of CTV. Variability was considerably higher for several OOI, representing a potential hazard not least with new and more precise radiotherapy techniques. Interestingly, DLS performed OOI-segmentation within the range of manual experts and represents a reasonable OOI-segmentation alternative in the future.</p>}},
  author       = {{Heggebø, Liv Cathrine and Hellebust, Taran Paulsen and Henry, Thomas and Fjæra, Lars Fredrik and Ottestad, Andreas and Rylander, Hillevi and Hervani, Maziar and Evensen, Morten Egeberg and Gustafsson, Magnus and Blakstad, Hanne and Sprauten, Mette and Magelssen, Henriette and Moorthy, Janani and Andersson, Karin M. and Dahlgren, Christina Vallhagen and Goplen, Dorota and Brekke, Jorunn and Johannessen, Tor Christian Aase and Solheim, Tora S. and Marienhagen, Kirsten and Bergström, Per and Agrup, Måns and Kinhult, Sara and Alkner, Sara and Dahl, Ludvig and Kristensen, Ingrid and Gubanski, Michael and Zupancic, Mark and Strandeus, Michael and Raunert, Ingela and Flejmer, Anna and Jakobsson, Frida and Ramberg, Christina and Werlenius, Katja and Blomstrand, Malin and Brandal, Petter}},
  issn         = {{2405-6308}},
  keywords     = {{Deep learning segmentation; IDH-mutated glioma; Interobserver variability; Quality assurance}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Clinical and Translational Radiation Oncology}},
  title        = {{Radiotherapy quality assurance in the PRO-GLIO trial : results from a dummy run comparing experts across twelve institutions in two Scandinavian countries}},
  url          = {{http://dx.doi.org/10.1016/j.ctro.2026.101220}},
  doi          = {{10.1016/j.ctro.2026.101220}},
  volume       = {{60}},
  year         = {{2026}},
}