Evidence map›Paper›PMID 32436656›Full record

ArticleJournal of applied clinical medical physics2020

Limiting treatment plan complexity by applying a novel commercial tool.

Alessandro Scaggion, Marco Fusella, Giancarmelo Agnello, Andrea Bettinelli, Nicola Pivato, Antonella Roggio, Marco A Rossato, Matteo Sepulcri, Marta Paiusco

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

9 authors.

Alessandro ScaggionMedical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Marco FusellaMedical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Giancarmelo AgnelloMedical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Andrea BettinelliMedical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Nicola PivatoMedical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Antonella RoggioMedical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Marco A RossatoMedical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Matteo SepulcriRadiation Oncology Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Marta PaiuscoMedical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA recently introduced commercial tool is tested to assess whether it is able to reduce the complexity of a treatment plan and improve deliverability without compromising overall quality.

methodsTen prostate and ten oropharynx plans of previously treated patients were reoptimized using the aperture shape controller (ASC) tool recently introduced in Eclipse TPS (Varian Medical Systems, Palo Alto, CA). The performance of ASC was assessed in terms of the overall plan quality using a plan quality metric, the reduction in plan complexity through the analysis of 14 of the most common plan complexity metrics, and the change in plan deliverability through 3D dosimetric measurements. Similarly, plans optimized limiting the total number of delivered monitor units was assessed and compared. The two strategies were also combined to assess their potential combination.

resultsThe plans optimized by exploiting the ASC generally show a reduced number of total Monitor Units, a more constant gantry rotation and a MLC modulation characterized by larger and less complicated shapes with leaves traveling shorter overall lengths.

conclusionsThis first experience suggests that the ASC is an effective tool to reduce the unnecessary complexity of a plan. This turns into an increased plan deliverability with no loss of plan quality.

Indexed as

Radiotherapy, Intensity-ModulatedHumansMaleRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-Assistedaperture shape controllercomplexity metricsMLCplan complexityplan quality metrictreatment planning

Identifiers

PMID32436656
PMCPMC7484888

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.