Evidence map›Paper›PMID 32185090›Full record

ArticleJournal of radiosurgery and SBRT2020

Considering inhomogeneities in Gamma Knife treatment planning: Factors affecting the loss of prescription dose coverage

William N Duggar, Rui He, Rahul Bhandari, Madhava Kanakamedala, Bart Morris, Roberto Rey-Dios, Srinivasan Vijayakumar, Claus Chunli Yang

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PubMed Full text at PMC
In one paragraph

Article in Journal of radiosurgery and SBRT, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

William N DuggarDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, USA.
Rui HeDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, USA.
Rahul BhandariDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, USA.
Madhava KanakamedalaDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, USA.
Bart MorrisDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, USA.
Roberto Rey-DiosDepartment of Neurosurgery, University of Mississippi Medical Center, Jackson, MS, USA.
Srinivasan VijayakumarDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, USA.
Claus Chunli YangDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectTo compare the consistency of the agreement between the Convolution and TMR10 algorithms using a homogeneous phantom and to identify target characteristics that lead to large changes in target isodose coverage when the Convolution algorithm is used in GammaPlan as opposed to the TMR10 algorithm.

methodsThe IROC phantom end-to-end test was performed and RTDose for both the TMR10 and Convolution algorithm were submitted for comparison to the measurement. Treatment plans for 16 patients and 26 different targets were retrospectively re-calculated with the Convolution algorithm when originally planned with the TMR10 algorithm. Multivariate regression was used to find statistically significant predictors of loss in target prescription isodose coverage.

resultsBoth algorithms agreed well with the IROC TLD measurement (within 1 %) and slightly better agreement was seen in the film analysis for the Convolution algorithm. After multivariate regression, small target volumes, < 1cm from air cavity, and minimum dose to target were potential predictors of large percentage loss of prescription isodose coverage (p = 0.049, 0.026, and 0.002, respectively).

conclusionConvolution and TMR10 appear to be equivalent in homogeneous situations. Some target characteristics have been identified that might be indications for use of the Convolution algorithm in clinical practice.

Indexed as

Gamma Knife Dose Calculation Convolution TMR10

Identifiers

PMID32185090
PMCPMC7065893

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