ArticleJournal of radiosurgery and SBRT2018
A comparison of the convolution and TMR10 treatment planning algorithms for Gamma Knife
Article in Journal of radiosurgery and SBRT, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Deep Learning-Based Heterogeneity Correction of the Homogeneous Dose Distribution for Single Brain Tumors in Gamma Knife Radiosurgery.Advances in radiation oncology · 2025Article
- Adaptation of dose-prescription for vestibular schwannoma radiosurgery taking body contouring method and heterogeneous material into account.Acta oncologica (Stockholm, Sweden) · 2025Article
- Convolution-based Gamma Knife planning from ICON CBCT: Three-level stepwise electron density assignment versus Hounsfield Unit curve.Journal of radiosurgery and SBRT · 2025Article
- Zap-X Radiosurgery System: Initial Clinical Experience in a Recurrent Gamma Knife Case Series.Cureus · 2024Article
- Clinical application of deep learning-based synthetic CT from real MRI to improve dose planning accuracy in Gamma Knife radiosurgery: a proof of concept study.Biomedical engineering letters · 2022Article
- A practical strategy for incorporating the convolution algorithm in Leksell GammaPlan for routine treatment planningJournal of radiosurgery and SBRT · 2022Article
- Use of GammaPlan convolution algorithm for dose calculation on CT and cone-beam CT images.Radiation oncology journal · 2021Article
- Impact of tissue heterogeneity correction on Gamma Knife stereotactic radiosurgery of acoustic neuromas.Journal of radiosurgery and SBRT · 2021Article
- Considering inhomogeneities in Gamma Knife treatment planning: Factors affecting the loss of prescription dose coverageJournal of radiosurgery and SBRT · 2020Article
- Article
- Monte Carlo Dose Calculation Using MRI Based Synthetic CT Generated by Fully Convolutional Neural Network for Gamma Knife Radiosurgery.Technology in cancer research & treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo compare the accuracies of the convolution and TMR10 Gamma Knife treatment planning algorithms, and assess the impact upon clinical practice of implementing convolution-based treatment planning.
methodsDoses calculated by both algorithms were compared against ionisation chamber measurements in homogeneous and heterogeneous phantoms. Relative dose distributions calculated by both algorithms were compared against film-derived 2D isodose plots in a heterogeneous phantom, with distance-to-agreement (DTA) measured at the 80%, 50% and 20% isodose levels. A retrospective planning study compared 19 clinically acceptable metastasis convolution plans against TMR10 plans with matched shot times, allowing novel comparison of true dosimetric parameters rather than total beam-on-time. Gamma analysis and dose-difference analysis were performed on each pair of dose distributions.
resultsBoth algorithms matched point dose measurement within ±1.1% in homogeneous conditions. Convolution provided superior point-dose accuracy in the heterogeneous phantom (-1.1% v 4.0%), with no discernible differences in relative dose distribution accuracy. In our study convolution-calculated plans yielded D
conclusionsConvolution provides superior accuracy versus TMR10 in heterogeneous conditions. Implementing convolution would result in increased target doses therefore its implementation may require a revaluation of prescription doses.
Indexed as
Identifiers
29657896PMC5893456What OpenQuestion holds
Registered trials
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.