Evidence map›Paper›PMID 35446479›Full record

ArticleJournal of applied clinical medical physics2022

Conebeam CT-guided 3D MLC-based spatially fractionated radiation therapy for bulky masses.

Damodar Pokhrel, Mark E Bernard, Richard Mallory, William St Clair, Mahesh Kudrimoti

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 14 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

5 authors at 1 institution in 1 country.

Damodar PokhrelDepartment of Radiation, Medicine, University of Kentucky, Lexington, Kentucky, USA.
Mark E BernardDepartment of Radiation, Medicine, University of Kentucky, Lexington, Kentucky, USA.
Richard MalloryDepartment of Radiation, Medicine, University of Kentucky, Lexington, Kentucky, USA.
William St ClairDepartment of Radiation, Medicine, University of Kentucky, Lexington, Kentucky, USA.
Mahesh KudrimotiDepartment of Radiation, Medicine, University of Kentucky, Lexington, Kentucky, USA.
University of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For fast, safe, and effective management of large and bulky (≥8 cm) non-resectable tumors, we have developed a conebeam CT-guided three-dimensional (3D)-conformal MLC-based spatially fractionated radiation therapy (SFRT) treatment. Using an in-house MLC-fitting algorithm, Millennium 120 leaves were fitted to the gross tumor volume (GTV) generating 1-cm diameter holes at 2-cm center-to-center distance at isocenter. SFRT plans of 15 Gy were generated using four to six coplanar crossfire gantry angles 60° apart with a 90° collimator, differentially weighted with 6- or 10-MV beams. A dose was calculated using AcurosXB algorithm, generating sieve-like dose channels without post-processing the physician-drawn GTV contour within an hour of CT simulation allowing for the same day treatment. In total, 50 extracranial patients have been planned and treated using this method, comprising multiple treatment sites. This novel MLC-fitting algorithm provided excellent dose parameters with mean GTV (V7.5 Gy) and mean GTV doses of 53.2% and 7.9 Gy, respectively, for 15 Gy plans. Average peak-to-valley dose ratio was 3.2. Mean beam-on time was 3.32 min, and treatment time, including patient setup and CBCT to beam-off, was within 15 min. Average 3D couch correction from original skin-markers was <1.0 cm. 3D MLC-based SFRT plans enhanced target dose for bulky masses, including deep-seated large tumors while protecting skin and adjacent critical organs. Additionally, it provides the same day, safe, effective, and convenient treatment by eliminating the risk to therapists and patients from heavy gantry-mounted physical GRID-block-we recommend other centers to use this simple and clinically useful method. This rapid SFRT planning technique is easily adoptable in any radiation oncology clinic by eliminating the need for plan optimization and patient-specific quality assurance times while providing dosimetry information in the treatment planning system. This potentially allows for dose-escalation to deep-seated masses to debulk unresectable large tumors providing an option for neoadjuvant treatment. An outcome study of clinical trial is underway.

Indexed as

NeoplasmsRadiotherapy, Intensity-ModulatedHumansRadiotherapy DosageRadiotherapy Planning, Computer-AssistedTomography, X-Ray Computedbulky tumorsdose-escalationGRID-blockMLCSFRTtoxicity-reduction

Identifiers

PMID35446479
PMCPMC9121033
OpenAlexW4224244036

What OpenQuestion holds

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LicenceCC BY
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.