Evidence map›Paper›PMID 38380154›Full record

ArticlePhysics and imaging in radiation oncology2024

Script-based implementation of automatic grid placement for lattice stereotactic body radiation therapy.

Wesley W Tucker, Thomas R Mazur, Matthew C Schmidt, Jessica Hilliard, Shahed Badiyan, Matthew B Spraker, James A Kavanaugh

Open access · goldAbstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Wesley W TuckerDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, MO 63110 USA.
Thomas R MazurDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, MO 63110 USA.
Matthew C SchmidtDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, MO 63110 USA.
Jessica HilliardDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, MO 63110 USA.
Shahed BadiyanDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, MO 63110 USA.
Matthew B SprakerDepartment of Radiation Oncology, Centura Health, Denver, CO 80210 USA.
James A KavanaughDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN 55905 USA.
Washington University in St. Louis · USMayo Clinic in Florida · USUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Spatially fractionated radiation therapy (SFRT) has demonstrated promising clinical response in treating large tumors with heterogeneous dose distributions. Lattice stereotactic body radiation therapy (SBRT) is an SFRT technique that leverages inverse optimization to precisely localize regions of high and lose dose within disease. The aim of this study was to evaluate an automated heuristic approach to sphere placement in lattice SBRT treatment planning. Materials and methods: A script-based algorithm for sphere placement in lattice SBRT based on rules described by protocol was implemented within a treatment planning system. The script was applied to 22 treated cases and sphere distributions were compared with manually placed spheres in terms of number of spheres, number of protocol violations, and time required to place spheres. All cases were re-planned using script-generated spheres and plan quality was compared with clinical plans. Results: The mean number of spheres placed excluding those that violate rules was greater using the script (13.8) than that obtained by either dosimetrist (10.8 and 12.0, p < 0.001 and p = 0.003) or physicist (12.7, p = 0.061). The mean time required to generate spheres was significantly less using the script (2.5 min) compared to manual placement by dosimetrists (25.0 and 29.9 min) and physicist (19.3 min). Plan quality indices were similar in all cases with no significant differences, and OAR constraints remained met on all plans except two. Conclusion: A script placed spheres for lattice SBRT according to institutional protocol rules. The script-produced placement was superior to that of manually-specified spheres, as characterized by sphere number and rule violations.

Indexed as

Lattice SBRTPlan automationSpatial fractionation

Identifiers

PMID38380154
PMCPMC10876586
OpenAlexW4391693947

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.