Evidence map›Paper›PMID 29476588›Full record

ArticleJournal of applied clinical medical physics2018

Institutional experience with SRS VMAT planning for multiple cranial metastases.

Åse Ballangrud, Li Cheng Kuo, Laura Happersett, Seng Boh Lim, Kathryn Beal, Yoshiya Yamada, Margie Hunt, James Mechalakos

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 51 citations in OpenAlex.

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  8. Automatically tracking brain metastases after stereotactic radiosurgery.Physics and imaging in radiation oncology · 2023
    Article
  9. Planning issues on linac-based stereotactic radiotherapy.World journal of clinical cases · 2022
    Review
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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

8 authors at 1 institution in 1 country.

Åse BallangrudDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Li Cheng KuoDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Laura HappersettDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Seng Boh LimDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Kathryn BealDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Yoshiya YamadaDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Margie HuntDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
James MechalakosDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

background and purposeThis study summarizes the cranial stereotactic radiosurgery (SRS) volumetric modulated arc therapy (VMAT) procedure at our institution. MATERIALS AND

methodsVolumetric modulated arc therapy plans were generated for 40 patients with 188 lesions (range 2-8, median 5) in Eclipse and treated on a TrueBeam STx. Limitations of the custom beam model outside the central 2.5 mm leaves necessitated more than one isocenter pending the spatial distribution of lesions. Two to nine arcs were used per isocenter. Conformity index (CI), gradient index (GI) and target dose heterogeneity index (HI) were determined for each lesion. Dose to critical structures and treatment times are reported.

resultsLesion size ranged 0.05-17.74 cm

conclusionsVolumetric modulated arc therapy provide plans with steep dose gradients around the targets and low dose to critical structures, and VMAT treatment is delivered in a shorter time than conventional methods using one isocenter per lesion. To further improve VMAT planning for multiple cranial metastases, better tools to shorten planning time are needed. The most significant improvement would come from better dose modeling in Eclipse, possibly by allowing for customizing the dynamic leaf gap (DLG) for a special SRS model and not limit to one DLG per energy per treatment machine and thereby remove the limitation on the Y-jaw and allow planning with a single isocenter.

Indexed as

Brain NeoplasmsHumansOrgans at RiskPrognosisRadiometryRadiosurgeryRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-Assistedcranial metastasesSRSVMAT

Identifiers

PMID29476588
PMCPMC5849827
OpenAlexW2792912020

What OpenQuestion holds

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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.