Evidence map›Paper›PMID 41438816›Full record

ArticleTechnical innovations & patient support in radiation oncology2025

Inter-Observer variability in organs at risk contouring among radiation therapy students and qualified radiation therapists.

Crispen Chamunyonga, Kerrie Mengersen, Catriona Hargrave

Abstract read
In one paragraph

Article in Technical innovations & patient support in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Crispen ChamunyongaSchool of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
Kerrie MengersenSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.
Catriona HargraveSchool of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Contouring organ-at-risk structures (OARs) remains an important skill that must be developed through education and training. This study assessed variations in OAR contouring among undergraduate radiation therapy students and qualified radiation therapists (RTs). Methods: Four planning computed tomography datasets (Brain, Lung, Parotid, and Prostate), which included 21 clinician-validated OAR contours, were utilised as references in this contouring study. Participants included 2nd to 4th year students, as well as qualified RTs. A quantitative comparison of contours was performed using the Dice Similarity Coefficient (DICE) and Hausdorff distance (HD) metrics. Statistical analyses assessed variations across structures, tumour sites, experience levels, and contouring methods. Results: A total of 440 OAR contours were analysed. The bladder and lung OARs achieved the highest mean DICE scores (>0.9), while structures such as the brainstem, heart, and parotid gland exhibited mean DICE scores between 0.76 and 0.89. Smaller structures, such as the lens, demonstrated very low HD95 values. A moderate positive correlation (r = 0.591) was observed between OAR volume and DICE scores (<200 cc). Statistical analyses indicated significant differences across tumour sites (P < 0.001 for DICE, HDavg, HD95, and HDmax). The comparison of manual and guided contouring showed statistically significant differences only for DICE (P < 0.001) and HDmax (P = 0.004). There were no significant differences in median scores between students and qualified groups. However, students exhibited higher variance than qualified professionals. Conclusion: This study highlighted OARs that are challenging to contour or edit, suggesting the need for a comprehensive educational framework.

Indexed as

ContouringInter-observer variationOrgans at riskRadiation therapyTraining and education

Identifiers

PMID41438816
PMCPMC12719899

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.