Evidence map›Paper›PMID 40421340›Full record

ArticleCureus2025

A System for Verifying Radiation Therapy Treatments That Use Multiple Modes of Real-Time Motion Adaptation.

Tanya Kairn, Liting Yu, Scott B Crowe

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. A prospective hazard analysis of real-time adaptive helical tomotherapy.Journal of applied clinical medical physics · 2026
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tanya KairnCancer Care Services, Royal Brisbane and Women's Hospital, Brisbane, AUS.
Liting YuCancer Care Services, Royal Brisbane and Women's Hospital, Brisbane, AUS.
Scott B CroweCancer Care Services, Royal Brisbane and Women's Hospital, Brisbane, AUS.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This technical report describes the development and use of a system for performing routine quality assurance (QA) of real-time adaptive radiotherapy treatments delivered using the Accuray Radixact Synchrony platform. Established international guidelines recommend the use of a dynamic phantom to verify real-time target tracking and the use of 2D dosimetry to verify the accuracy of modulated radiotherapy treatment delivery; hence, a dynamic QA system was developed to fulfill both of these requirements while being comparatively easy to understand, consistent with other local radiotherapy QA processes and straightforward to set up and use. The resulting dynamic QA system used a PTW Octavius 1500 ionisation chamber array dosimeter, set up in the bottom half of an Octavius II phantom, on top of a CIRS Dynamic Platform that enables superior-inferior motion, with purpose-designed 3D-printed components placed on top of the array. The 3D-printed components included lung-equivalent blocks containing a unit-density sphere, for testing Synchrony's lung tracking with respiratory modelling mode, and five implanted gold seeds, for testing Synchrony's fiducial tracking mode. The use of the dynamic QA system for verifying the performance of Radixact Synchrony's fiducial tracking mode was demonstrated by measuring the dose from eight prostate treatments, while four different sample prostate motion traces were used to drive the dynamic platform. The results of this testing indicated that Synchrony was able to track the motion of the platform accurately within 1 mm (often within 0.5 mm), and local patient-specific QA gamma evaluation thresholds were consistently surpassed for all motion traces other than a high-frequency prostate motion trace. For this challenging high-frequency motion, gamma agreement indices from QA measurement results decreased by more than 3.5% when Synchrony was not used; without Synchrony's real-time tracking, the target so often moved away from its planned location that substantial proportions of the treatments were delivered at unintended locations. The use of the dynamic QA system to verify the performance of Radixact Synchrony's lung tracking and respiratory modelling mode was demonstrated by tracking the 3D printed unit-density sphere while the phantom moved according to a pre-programmed sinusoidal waveform. Again, the resulting 2D measurement exceeded the local patient-specific QA gamma evaluation threshold. This result, in combination with the fiducial tracking results, suggests that the dynamic QA system developed in this work would also be useful for verifying Synchrony's performance in fiducial tracking with respiratory modelling mode, for abdominal targets. Combined testing of Radixact jaw and multileaf-collimator motions modified by Synchrony may be achieved by applying a yaw rotation to the dynamic platform so that lateral and superior-inferior phantom motions are produced. The dynamic QA system described in this technical report is well suited to routine clinical verification of tracking modes provided by Radixact Synchrony (and other real-time adaptive radiotherapy systems) during initial commissioning, periodic end-to-end testing, and routine patient-specific QA testing.

Indexed as

motion managementquality assuranceradiation therapyradiotherapyreal-time trackingtomotherapy

Identifiers

PMID40421340
PMCPMC12104770

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.