ArticleTechnical innovations & patient support in radiation oncology2025
Monitoring lung tumour volume on daily cone beam CT; is it achievable in a real-world setting?
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 1 paper.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Does the traffic light protocol capture dose deviations? A longitudinal CBCT-based dose-monitoring study in adaptive RT for LA-NSCLC.Technical innovations & patient support in radiation oncology · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Delineating the gross tumour volume (GTV) in non-small cell lung cancer (NSCLC) can be challenging due to anatomical complexities and imaging artefacts. This study evaluates a semi-automated workflow using commercial software for target volume (TV) delineation on cone-beam CT (CBCT) in patients undergoing radical radiotherapy. Seventy-six patients with 553 scans (n = 76 planning CT, n = 477 CBCT) were included. Auto-contours were adjusted by a senior Radiation Therapist and reviewed for accuracy. The majority (59.1 %) required only minor revisions, with median adjustment time of CBCT auto-contours of 83 (range 0-460) seconds. The findings support the feasibility of this approach, offering a pragmatic solution for adaptive radiotherapy workflows in NSCLC.
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Registered trials
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.