Evidence map›Paper›PMID 36076249›Full record

ArticleRadiation oncology (London, England)2022

CyberKnife Xsight versus fiducial-based target-tracking: a novel 3D dosimetric comparison in a dynamic phantom.

Thomas J Klein, Suki Gill, Martin A Ebert, Garry Grogan, Warwick Smith, Zaid Alkhatib, John Geraghty, Alison J D Scott, Alan Brown, Pejman Rowshanfarzad

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  5. Review
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  7. Article
  8. Lung metastases.Nature reviews. Disease primers · 2025
    Review
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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

10 authors.

Thomas J KleinSchool of Physics, Mathematics and Computing, The University of Western Australia, 35 Stirling Highway, Mailbag M013, Crawley, WA, 6009, Australia.
Suki GillSchool of Physics, Mathematics and Computing, The University of Western Australia, 35 Stirling Highway, Mailbag M013, Crawley, WA, 6009, Australia.
Martin A EbertSchool of Physics, Mathematics and Computing, The University of Western Australia, 35 Stirling Highway, Mailbag M013, Crawley, WA, 6009, Australia.
Garry GroganDepartment of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.
Warwick SmithSchool of Physics, Mathematics and Computing, The University of Western Australia, 35 Stirling Highway, Mailbag M013, Crawley, WA, 6009, Australia.
Zaid AlkhatibDepartment of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.
John GeraghtyDepartment of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.
Alison J D ScottDepartment of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.
Alan BrownDepartment of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.
Pejman RowshanfarzadSchool of Physics, Mathematics and Computing, The University of Western Australia, 35 Stirling Highway, Mailbag M013, Crawley, WA, 6009, Australia. pejman.rowshanfarzad@uwa.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe CyberKnife Xsight lung-tracking system (XLTS) provides an alternative to fiducial-based target-tracking systems (FTTS) for non-small-cell lung cancer (NSCLC) patients without invasive fiducial insertion procedures. This study provides a method for 3D independent dosimetric verification of the accuracy of the FTTS compared to the XLTS without relying on log-files generated by the CyberKnife system.

methodsA respiratory motion trace was taken from a 4D-CT of a real lung cancer patient and applied to a modified QUASAR™ respiratory motion phantom. A novel approach to 3D dosimetry was developed using Gafchromic EBT3 film, allowing the 3D dose distribution delivered to the moving phantom to be reconstructed. Treatments were planned using the recommended margins for one and three fiducial markers and XLTS 2-view, 1-view and 0-view target-tracking modalities. The dose delivery accuracy was analysed by comparing the reconstructed dose distributions to the planned dose distributions using gamma index analysis.

resultsFor the 3%/2 mm gamma criterion, gamma passing rates up to 99.37% were observed for the static deliveries. The 3-fiducial and 1-fiducial-based deliveries exhibited passing rates of 93.74% and 97.82%, respectively, in the absence of target rotation. When target rotation was considered, the passing rate for 1-fiducial tracking degraded to 91.24%. The passing rates observed for XLTS 2-view, 1-view and 0-view target-tracking were 92.78%, 96.22% and 76.08%, respectively.

conclusionsExcept for the XLTS 0-view, the dosimetric accuracy of the XLTS was comparable to the FTTS under equivalent treatment conditions. This study gives us further confidence in the CyberKnife XLTS and FTTS systems.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsRadiosurgeryFiducial MarkersHumansPhantoms, ImagingRadiotherapy Planning, Computer-Assisted3D DosimetryCyberKnifeTumor-trackingXsight

Identifiers

PMID36076249
PMCPMC9461108

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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.