Evidence map›Paper›PMID 36063348›Full record

ArticlePhysical and engineering sciences in medicine2022

A comparison of in-house and shared RapidPlan models for prostate radiation therapy planning.

E Claridge Mackonis, J Sykes, N Hardcastle, A Espinoza, A Brown, G Perez, B Evans, H Sheehan, A Haworth

Abstract read
In one paragraph

Article in Physical and engineering sciences in medicine, 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

9 authors.

E Claridge MackonisDepartment of Radiation Oncology, Chris O'Brien Lifehouse, Camperdown, NSW, Australia. ecla2009@uni.sydney.edu.au.ORCID http://orcid.org/0000-0001-7860-8073
J SykesBlacktown Cancer and Haematology Centre, Sydney West Cancer Network, Sydney, Australia.
N HardcastleDepartment of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Australia.
A EspinozaBlacktown Cancer and Haematology Centre, Sydney West Cancer Network, Sydney, Australia.
A BrownWestmead Hospital, Crown Princess Mary Cancer Centre, Westmead, Australia.
G PerezDepartment of Radiation Oncology, Chris O'Brien Lifehouse, Camperdown, NSW, Australia.
B EvansRadiation Oncology, Central West Cancer Care Centre, Orange, Australia.
H SheehanRadiation Oncology, Central West Cancer Care Centre, Orange, Australia.
A HaworthInstitute of Medical Physics, University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge-based planning (KBP) can increase plan quality, consistency and efficiency. In this study, we assess the success of a using a publicly available KBP model compared with developing an in-house model for prostate cancer radiotherapy using a single, commercially available treatment planning system based on the ability of the model to achieve the centre's planning goals. Two radiation oncology centres each created a prostate cancer KBP model using the Eclipse RapidPlan software. These two models and a third publicly-available, shared model were tested at three centres in a retrospective planning study. The publicly-available model achieved lower rectum doses than the other two models. However, the planning-target-volume (PTV) doses did not meet the local planning goals and the model could not be adjusted to correct this. As a result, the plans most likely to satisfy local planning goals and requirements were created using an in-house model. For centres without an existing in-house model, a model created by another centre with similar planning goals was found to be preferred. Variations in local planning practices including contouring, treatment technique and planning goals can influence the relative performance of KBP. The value of publicly available KBP models could be enhanced through standardisation of planning goals and contouring guidelines, providing information related to the planning goals used to create the model and increased flexibility to allow local adaptation of the KBP model.

Indexed as

Prostatic NeoplasmsRadiotherapy, Intensity-ModulatedHumansMaleProstateRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRetrospective StudiesKnowledge-based planning (KBP)ProstateRadiation oncologyRapidPlanShared models

Identifiers

PMID36063348
PMCPMC9747821

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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.