Evidence map›Paper›PMID 37720461›Full record

ArticlePhysics and imaging in radiation oncology2023

Cone beam computed tomography image guidance within a magnetic resonance imaging-only planning workflow.

Laura M O'Connor, Alesha Quinn, Samuel Denley, Lucy Leigh, Jarad Martin, Jason A Dowling, Kate Skehan, Helen Warren-Forward, Peter B Greer

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In one paragraph

Article in Physics and imaging in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Laura M O'ConnorDepartment of Radiation Oncology, Calvary Mater Hospital, Edith Street, Waratah, Newcastle, NSW 2298, Australia.
Alesha QuinnDepartment of Radiation Oncology, Calvary Mater Hospital, Edith Street, Waratah, Newcastle, NSW 2298, Australia.
Samuel DenleyDepartment of Radiation Oncology, Calvary Mater Hospital, Edith Street, Waratah, Newcastle, NSW 2298, Australia.
Lucy LeighHunter Medical Research Institute, Lot 1 Kookaburra Ct, New Lambton Heights, NSW 2305, Australia.
Jarad MartinDepartment of Radiation Oncology, Calvary Mater Hospital, Edith Street, Waratah, Newcastle, NSW 2298, Australia.
Jason A DowlingAustralian E-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Bowen Bridge Rd, Herston, QLD 4029, Australia.
Kate SkehanDepartment of Radiation Oncology, Calvary Mater Hospital, Edith Street, Waratah, Newcastle, NSW 2298, Australia.
Helen Warren-ForwardSchool of Health Sciences, University of Newcastle, University Drive, Newcastle, NSW 2308, Australia.
Peter B GreerDepartment of Radiation Oncology, Calvary Mater Hospital, Edith Street, Waratah, Newcastle, NSW 2298, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Magnetic Resonance Imaging (MRI)-only planning workflows offer many advantages but raises challenges regarding image guidance. The study aimed to assess the viability of MRI to Cone Beam Computed Tomography (CBCT) based image guidance for MRI-only planning treatment workflows. Materials and methods: An MRI matching training package was developed. Ten radiation therapists, with a range of clinical image guidance experience and experience with MRI, completed the training package prior to matching assessment. The matching assessment was performed on four match regions: prostate gold seed, prostate soft tissue, rectum/anal canal and gynaecological. Each match region consisted of five patients, with three CBCTs per patient, resulting in fifteen CBCTs for each match region. The ten radiation therapists performed the CBCT image matching to CT and to MRI for all regions and recorded the match values. Results: The median inter-observer variation for MRI-CBCT matching and CT-CBCT matching for all regions were within 2 mm and 1 degree. There was no statistically significant association in the inter-observer variation in mean match values and radiation therapist image guidance experience levels. There was no statistically significant association in inter-observer variation in mean match values for MRI experience levels for prostate soft tissue and gynaecological match regions, while there was a statistically significant difference for prostate gold seed and rectum match regions. Conclusion: The results of this study support the concept that with focussed training, an MRI to CBCT image guidance approach can be successfully implemented in a clinical planning workflow.

Indexed as

Cone Beam Computed TomographyImage-guided radiation therapyMagnetic resonance imagingMRI guided radiation therapyMRI-only radiotherapy planningRadiotherapy

Identifiers

PMID37720461
PMCPMC10500022

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.