Evidence map›Paper›PMID 32416375›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2020

Feasibility of 3D tracking and adaptation of VMAT based on VMAT-CT.

Xiaodong Zhao, Rui Zhang

Open access · greenAbstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2020. 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
0.8field-weighted citation impact, top 30% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Feasibility of 4D VMAT-CT.Biomedical physics & engineering express · 2022
    Article
  4. Article
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

2 authors at 2 institutions in 1 country.

Xiaodong ZhaoDepartment of Physics and Astronomy, Louisiana State University, Baton Rouge, USA.
Rui ZhangDepartment of Physics and Astronomy, Louisiana State University, Baton Rouge, USA; Department of Radiation Oncology, Mary Bird Perkins Cancer Center, Baton Rouge, USA. Electronic address: rzhang@lsu.edu.
Louisiana State University · USMary Bird Perkins Cancer Center · US

Funding

Systematic evaluation of predicted outcomes and costs to inform clinical and policy decision making for emerging postmastectomy radiotherapiesK22CA204464 · NCI · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI ZHANG, RUI · 2016 to 2018
$580k
NCI NIH HHS K22 CA204464
6 · The paper itself

Abstract

backgroundLocal computed tomography (CT) reconstruction is achievable with portal images acquired during volumetric-modulated arc therapy (VMAT) delivery and was named as VMAT-CT. However, the application of VMAT-CT is limited because it has limited field of view and no density information. In addition, the new generation of multi-leaf collimator with faster speed and various collimator angles used in patients' plans could cause more artifacts in VMAT-CT. The goal of this study was to extend VMAT-CT concept, generate complete three-dimensional (3D) CT images, calculate new 3D dose, track and adapt VMAT plan based on updated images and dose. MATERIALS AND

methodsVMAT-CT and planning CT of phantoms were fused by rigid or deformable registration to create VMAT-CT+ images. Trackings based on planning CT, VMAT-CT+, and cone beam CT (CBCT) were compared. When prescription dose was not met for planning target volume (PTV), re-planning was demonstrated on an in-house deformable phantom. Possible uncertainties were also evaluated.

resultsTracking based on VMAT-CT+ was accurate and superior to those based on planning CT and CBCT since VMAT-CT+ can detect changes during treatment. PTV coverage in the deformable phantom decreased after deformations but went up and met the prescription goal after re-planning. The impact of uncertainties on dose was minimal.

conclusion3D tracking and adaptation of VMAT based on VMAT-CT are feasible. Our study has the potential to increase the confidence of beam delivery, catch and remedy errors during VMAT.

Indexed as

Radiotherapy, Intensity-ModulatedFeasibility StudiesHumansRadiotherapy DosageRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedAdaptive radiotherapyComputed tomographyThree-dimensionalTrackingVolumetric modulated arc therapy

Identifiers

PMID32416375
PMCPMC7442647
OpenAlexW3019858003

What OpenQuestion holds

Textmetadata
LicenceTDM
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.