Evidence map›Paper›PMID 34480829›Full record

ArticleJournal of applied clinical medical physics2021

Image-guided volumetric-modulated arc therapy of total body irradiation: An efficient workflow from simulation to delivery.

Bingqi Guo, Cherian Sheen, Erin Murphy, Anthony Magnelli, Lan Lu, YoungBin Cho, Peng Qi, Navneet S Majhail, Ping Xia

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  6. The Spinning Manny Indexed Overlay System for VMAT total body irradiation.Journal of applied clinical medical physics · 2026
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  12. Automatic planning of the lower extremities for total marrow irradiation using volumetric modulated arc therapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023
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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 at 1 institution in 1 country.

Bingqi GuoDepartment of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Cherian SheenDepartment of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Erin MurphyDepartment of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Anthony MagnelliDepartment of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Lan LuDepartment of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
YoungBin ChoDepartment of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Peng QiDepartment of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Navneet S MajhailDepartment of Hematology Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Ping XiaDepartment of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Cleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUsing multi-isocenter volumetric-modulated arc therapy (VMAT) for total body irradiation (TBI) may improve dose uniformity and vulnerable tissue protection compared with classical whole-body field technique. Two drawbacks limit its application: (1) VMAT-TBI planning is time consuming; (2) VMAT-TBI plans are sensitive to patient positioning uncertainties due to beam matching. This study presents a robust planning technique with image-guided delivery to improve dose delivery accuracy. In addition, a streamlined sim-to-treat workflow with automatic scripts is proposed to reduce planning time. MATERIALS: Twenty-five patients were included in this study. Patients were scanned in supine head-first and feet-first directions. An automatic workflow was used to (1) create a whole-body CT by registering two CT scans, (2) contour lungs, kidneys, and planning target volume (PTV), (3) divide PTV into multiple sub-targets for planning, and (4) place isocenters. Treatment planning included feathered AP/PA beams for legs/feet and VMAT for the body. VMAT-TBI was evaluated for plan quality, planning/delivery time, and setup accuracy using image guidance.

resultsVMAT-TBI planning time can be reduced to a day with automatic scripts. Treatment time took around an hour per fraction. VMAT-TBI improved dose coverage (PTV V100 increased from 76.8 ± 10.5 to 88.5 ± 2.6; p < 0.001) and reduced lung dose (lung mean dose reduced from 10.8 ± 0.7 Gy to 9.4 ± 0.8 Gy, p < 0.001) compared with classic AP/PA technique.

conclusionA VMAT-TBI sim-to-treat workflow with robust planning and image-guided delivery was proposed. VMAT-TBI improved the plan quality compared with classical whole-body field techniques.

Indexed as

Radiotherapy, Intensity-ModulatedHumansOrgans at RiskRadiotherapy DosageRadiotherapy Planning, Computer-AssistedWhole-Body IrradiationWorkflowIGRTsim-to-treatTBIVMAT

Identifiers

PMID34480829
PMCPMC8504588
OpenAlexW3198326004

What OpenQuestion holds

Textmetadata
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.