Evidence map›Paper›PMID 30453842›Full record

ArticleTechnology in cancer research & treatment2018

Optical Surface Scanning for Patient Positioning in Radiation Therapy: A Prospective Analysis of 1902 Fractions.

G Carl, D Reitz, S Schönecker, M Pazos, P Freislederer, M Reiner, F Alongi, M Niyazi, U Ganswindt, C Belka and 1 more

Abstract read
In one paragraph

Article in Technology in cancer research & treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  10. Review
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  13. Surface-guided radiotherapy improves rotational accuracy in gynecological cancer patients.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Surface guided radiation therapy: An international survey on current clinical practice.Technical innovations & patient support in radiation oncology · 2022
    Article
  18. Article
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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

11 authors.

G Carl1 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
D Reitz1 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-0539-9092
S Schönecker1 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
M Pazos1 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
P Freislederer1 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
M Reiner1 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
F Alongi2 Department of Radiation Oncology, Sacro Cuore Don Calabria Hospital, Negrar-Verona, Italy.
M Niyazi1 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
U Ganswindt1 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
C Belka1 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.
S Corradini1 Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-8709-7252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PURPOSE/

objectiveReproducible patient positioning remains one of the major challenges in modern radiation therapy. Recently, optical surface scanners have been introduced into clinical practice in addition to well-established positioning systems, such as room laser and skin marks. The aim of this prospective study was to evaluate setup errors of the optical surface scanner Catalyst HD (C-RAD AB) in different anatomic regions. MATERIAL/

methodsBetween October 2016 and June 2017 a total of 1902 treatment sessions in 110 patients were evaluated. The workflow of this study included conventional setup procedures using laser-based positioning with skin marks and an additional registration of the 3-dimensional (3D) deviations detected by the Catalyst system. The deviations of the surface-based method were then compared to the corrections of cone beam computed tomography alignment which was considered as gold standard. A practical Catalyst setup error was calculated between the translational deviations of the surface scanner and the laser positioning. Two one-sided t tests for equivalence were used for statistical analysis.

resultsData analysis revealed total deviations of 0.09 mm ± 2.03 mm for the lateral axis, 0.07 mm ± 3.21 mm for the longitudinal axis, and 0.44 mm ± 3.08 mm vertical axis for the Catalyst system, compared to -0.06 ± 3.54 mm lateral, 0.53 ± 3.47 mm longitudinal, and 0.19 ± 3.49 mm vertical for the laser positioning compared to cone beam computed tomography. The lowest positional deviations were found in the cranial region, and larger deviations occurred in the thoracic and abdominal sites. A statistical comparison using 2 one-sided t tests showed a general concordance of the 2 methods ( P ≤ 0.036), excluding the vertical direction of the abdominal region ( P = 0.198).

conclusionThe optical surface scanner Catalyst HD is a reliable and feasible patient positioning system without any additional radiation exposure. From the head to the thoracic and abdominal region, a decrease in accuracy was observed within a comparable range for Catalyst and laser-assisted positioning.

Indexed as

Patient PositioningRadiotherapy, Image-GuidedAdultAgedAged, 80 and overCone-Beam Computed TomographyFemaleHumansLasersMaleMiddle AgedNeoplasmsWorkflowcatalystCBCTlaser positioningpatient positioningradiotherapysurface scanner

Identifiers

PMID30453842
PMCPMC6243634

What OpenQuestion holds

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LicenceCC BY-NC
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.