Evidence map›Paper›PMID 34165217›Full record

ArticleJournal of applied clinical medical physics2021

Single isocenter SRS using CAVMAT offers improved robustness to commissioning and treatment delivery uncertainty compared to VMAT.

Edward T Cullom, Yuqing Xia, Kai-Cheng Chuang, Zachary W Gude, Yana Zlateva, Justus D Adamson, William M Giles

Abstract read
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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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

7 authors.

Edward T CullomMedical Physics Graduate Program, Duke University, Durham, North Carolina, USA.
Yuqing XiaMedical Physics Graduate Program, Duke Kunshan University, Suzhou, China.
Kai-Cheng ChuangMedical Physics Graduate Program, Duke Kunshan University, Suzhou, China.
Zachary W GudeMedical Physics Graduate Program, Duke University, Durham, North Carolina, USA.
Yana ZlatevaDepartment of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA.
Justus D AdamsonDepartment of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA.
William M GilesDepartment of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this study, we evaluate and compare single isocenter multiple target VMAT (SIMT) and Conformal Arc Informed VMAT (CAVMAT) radiosurgery's sensitivity to uncertainties in dosimetric leaf gap (DLG) and treatment delivery. CAVMAT is a novel planning technique that uses multiple target conformal arcs as the starting point for limited inverse VMAT optimization.

methodsAll VMAT and CAVMAT plans were recalculated with DLG values of 0.4, 0.8, and 1.2 mm. DLG effect on V

resultsVMAT's average maximum and minimum target dose sensitivity to DLG was 9.08 ±3.50%/mm and 9.50 ± 3.30%/mm, compared to 3.20 ± 1.60%/mm and 4.72 ± 1.60%/mm for CAVMAT. For VMAT, V

conclusionsCAVMAT remains robust to delivery uncertainties while offering a target dose sensitivity to DLG less than half that of VMAT, and 65% of that of VMAT for V

Indexed as

RadiosurgeryRadiotherapy, Intensity-ModulatedHumansRadiotherapy DosageRadiotherapy Planning, Computer-AssistedUncertaintyCAVMATsingle isocenterSRSVMAT

Identifiers

PMID34165217
PMCPMC8292691

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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.