Evidence map›Paper›PMID 33058720›Full record

ArticleJournal of medical radiation sciences2021

Development of an automated radiotherapy dose accumulation workflow for locally advanced high-risk prostate cancer - A technical report.

Ashley Ong, Kellie Knight, Vanessa Panettieri, Matthew Dimmock, Jeffrey Kit Loong Tuan, Hong Qi Tan, Zubin Master, Caroline Wright

Abstract read
In one paragraph

Article in Journal of medical radiation sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Ashley OngDepartment of Radiation Therapy, National Cancer Centre, Singapore.ORCID https://orcid.org/0000-0002-8228-2966
Kellie KnightDepartment of Medical Imaging and Radiation Sciences, Monash University, Clayton, Australia.
Vanessa PanettieriDepartment of Medical Imaging and Radiation Sciences, Monash University, Clayton, Australia.
Matthew DimmockDepartment of Medical Imaging and Radiation Sciences, Monash University, Clayton, Australia.
Jeffrey Kit Loong TuanDepartment of Radiation Therapy, National Cancer Centre, Singapore.
Hong Qi TanDepartment of Radiation Therapy, National Cancer Centre, Singapore.ORCID https://orcid.org/0000-0001-7878-4544
Zubin MasterDepartment of Radiation Therapy, National Cancer Centre, Singapore.
Caroline WrightDepartment of Medical Imaging and Radiation Sciences, Monash University, Clayton, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An automated dose accumulation and contour propagation workflow using daily cone beam computed tomography (CBCTs) images for prostate cases that require pelvic lymph nodes irradiation (PLNs) was developed. This workflow was constructed using MIM® software with the intention to provide accurate dose transformations for plans with two different isocentres, whereby two sequential treatment phases were prescribed. The pre-processing steps for data extractions from treatment plans, CBCTs, determination of couch shift information and management of missing CBCTs are described. To ensure that the imported translational couch shifts were in the correct orientation and readable in MIM, phantom commissioning was performed. For dose transformation, rigid registration with corrected setup shifts and scaled fractional dose was performed for pCT to daily CBCTs, which were then deformed onto CBCT

Indexed as

Prostatic NeoplasmsRadiotherapy Planning, Computer-AssistedAlgorithmsHumansImage Processing, Computer-AssistedMaleRadiotherapy DosageWorkflowDeformable image registrationdose accumulationprostate cancerwhole-pelvis radiotherapyworkflow

Identifiers

PMID33058720
PMCPMC8168070

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.