ArticlePhysics and imaging in radiation oncology2025
Time series analysis of dosimetric changes in target volumes and organs at risk monitored by cone beam computed tomography during radiotherapy for non-small-cell lung cancer.
Article in Physics and imaging 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Purpose: Technological advancements in radiotherapy have enhanced the ability to increase tumor doses while sparing normal tissues. We performed a time-series cluster analysis to characterize dynamic variations in dosimetry during radiotherapy. Materials and Methods: We analyzed dosimetric variations of 40 patients with non-small-cell lung cancer who received 60 Gy over 30 daily cone beam computed tomography-guided fractions. Percentage deviations from planned doses across all fractions were calculated for organs at risk (OARs) (lungs, heart, spinal cord, and esophagus), gross tumor volume, clinical target volume (CTV), and planning target volume. K-means clustering with dynamic time-warping distances was applied to identify temporal dose patterns. The target volume with the lowest variance (95 % dose coverage of the CTV [CTV Results: The CTV Conclusions: Time-series clustering enabled early identification of patients with distinct dose evolution patterns. The stable trajectories of Cluster 1 may serve as internal references for adaptive radiotherapy. Variability in Cluster 2 underscores the need for routine dose monitoring to support timely offline adaptation.
Indexed as
Identifiers
What OpenQuestion holds
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.