Evidence map›Paper›PMID 32529144›Full record

ArticleAdvances in radiation oncology

Intracranial Stereotactic Radiation Therapy With a Jawless Ring Gantry Linear Accelerator Equipped With New Dual Layer Multileaf Collimator.

Nels C Knutson, William R Kennedy, Francisco J Reynoso, Jiayuan Peng, Lauren E Henke, Eric Laugeman, Michael Watts, Jessica Hillard, Ana Heermann, Geoffrey D Hugo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Advances in radiation oncology. 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
3.1field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  4. A dosimetric and treatment delivery comparisons of the Halcyon and TrueBeam stereotactic plans for one or more brain metastases.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
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  9. Letter to the Editor: In Response to Sarkar et al.Journal of applied clinical medical physics · 2021
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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

12 authors at 1 institution in 1 country.

Nels C KnutsonDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
William R KennedyDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Francisco J ReynosoDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Jiayuan PengDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Lauren E HenkeDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Eric LaugemanDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Michael WattsDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Jessica HillardDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Ana HeermannDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Geoffrey D HugoDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Sasa MuticDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Bin CaiDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.
Washington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo test the feasibility of a simplified, robust, workflow for intracranial stereotactic radiation therapy (SRT) using a ring gantry linear accelerator (RGLA) equipped with a dual-layer stacked, staggered, and interdigitating multileaf collimator. MATERIALS AND

methodsTwenty recent clinical SRT cases treated using a radiosurgery c-arm linear accelerator were anonymized. From these data sets, a new planning workflow was developed and used to replan these cases, which then were compared to their clinical counterparts. Population-based dose-volume histograms were analyzed for target coverage and sparing of healthy brain. All plans underwent plan review and quality assurance and were delivered on an end-to-end verification phantom using image guidance to simulate treatment.

resultsThe RGLA plans were able to meet departmental standards for target coverage and organ-at-risk sparing and showed plan quality similar to the clinical plans. RGLA plans showed increases in the 50% isodose in the axial plane but decreases in the sagittal and coronal planes. There were no statistically significant differences in the homogeneity index or number of monitor units between the 2 systems. There were statistically significant increases in conformity and gradient indices, with median values of 1.09 versus 1.11 and 2.82 versus 3.13, respectively, for the c-arm versus RGLA plans. These differences were not believed to be clinically significant because they met clinical goals. The population-based dose-volume histograms showed target coverage and organ-at-risk sparing similar to that of the clinical plans. All plans were able to meet the departmental quality assurance requirements and were delivered under image guidance on an end-to-end phantom with measurements agreeing within 3% of the expected value. RGLA plans showed a median reduction in delivery time of ≈50%.

conclusionsThis work describes a simplified and efficient workflow that could reduce treatment times and expand access to SRT to centers using an RGLA.

Identifiers

PMID32529144
PMCPMC7276691
OpenAlexW3003756463

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.