Evidence map›Paper›PMID 36052018›Full record

ArticleClinical and translational radiation oncology2022

Dosimetric comparison of automatically propagated prostate contours with manually drawn contours in MRI-guided radiotherapy: A step towards a contouring free workflow?

Kobika Sritharan, Alex Dunlop, Jonathan Mohajer, Gillian Adair-Smith, Helen Barnes, Douglas Brand, Emily Greenlay, Adham Hijab, Uwe Oelfke, Angela Pathmanathan and 6 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

16 authors at 2 institutions in 1 country.

Kobika SritharanThe Royal Marsden NHS Foundation Trust, United Kingdom.
Alex DunlopThe Joint Department of Physics, the Royal Marsden Hospital and the Institute of Cancer Research, United Kingdom.
Jonathan MohajerThe Joint Department of Physics, the Royal Marsden Hospital and the Institute of Cancer Research, United Kingdom.
Gillian Adair-SmithThe Royal Marsden NHS Foundation Trust, United Kingdom.
Helen BarnesThe Royal Marsden NHS Foundation Trust, United Kingdom.
Douglas BrandThe Institute of Cancer Research, United Kingdom.
Emily GreenlayThe Royal Marsden NHS Foundation Trust, United Kingdom.
Adham HijabThe Royal Marsden NHS Foundation Trust, United Kingdom.
Uwe OelfkeThe Joint Department of Physics, the Royal Marsden Hospital and the Institute of Cancer Research, United Kingdom.
Angela PathmanathanThe Royal Marsden NHS Foundation Trust, United Kingdom.
Adam MitchellThe Joint Department of Physics, the Royal Marsden Hospital and the Institute of Cancer Research, United Kingdom.
Julia MurrayThe Royal Marsden NHS Foundation Trust, United Kingdom.
Simeon NillThe Joint Department of Physics, the Royal Marsden Hospital and the Institute of Cancer Research, United Kingdom.
Chris ParkerThe Royal Marsden NHS Foundation Trust, United Kingdom.
Nora SundahlThe Royal Marsden NHS Foundation Trust, United Kingdom.
Alison C TreeThe Royal Marsden NHS Foundation Trust, United Kingdom.
Royal Marsden NHS Foundation Trust · GBInstitute of Cancer Research · GB

Funding

Cancer Research UK 19727Cancer Research UK 28284Cancer Research UK 28990
6 · The paper itself

Abstract

Background: The prostate demonstrates inter- and intra- fractional changes and thus adaptive radiotherapy would be required to ensure optimal coverage. Daily adaptive radiotherapy for MRI-guided radiotherapy can be both time and resource intensive when structure delineation is completed manually. Contours can be auto-generated on the MR-Linac via a deformable image registration (DIR) based mapping process from the reference image. This study evaluates the performance of automatically generated target structure contours against manually delineated contours by radiation oncologists for prostate radiotherapy on the Elekta Unity MR-Linac. Methods: Plans were generated from prostate contours propagated by DIR and rigid image registration (RIR) for forty fractions from ten patients. A two-dose level SIB (simultaneous integrated boost) IMRT plan is used to treat localised prostate cancer; 6000 cGy to the prostate and 4860 cGy to the seminal vesicles. The dose coverage of the PTV 6000 and PTV 4860 created from the manually drawn target structures was evaluated with each plan. If the dose objectives were met, the plan was considered successful in covering the gold standard (clinician-delineated) volume. Results: The mandatory PTV 6000 dose objective (D98% > 5580 cGy) was met in 81 % of DIR plans and 45 % of RIR plans. The SV were mapped by DIR only and for all the plans, the PTV 4860 dose objective met the optimal target (D98% > 4617 cGy). The plans created by RIR led to under-coverage of the clinician-delineated prostate, predominantly at the apex or the bladder-prostate interface. Conclusion: Plans created from DIR propagation of prostate contours outperform those created from RIR propagation. In approximately 1 in 5 DIR plans, dosimetric coverage of the gold standard PTV was not clinically acceptable. Thus, at our institution, we use a combination of DIR propagation of contours alongside manual editing of contours where deemed necessary for online treatments.

Indexed as

Adaptive radiotherapyAuto-contouringMRI-gRTMR-LinacProstate cancer

Identifiers

PMID36052018
PMCPMC9424262
OpenAlexW4290473089

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.