Literature DB >> 29657896

A comparison of the convolution and TMR10 treatment planning algorithms for Gamma Knife® radiosurgery.

Peter Fallows1, Gavin Wright1, Natalie Harrold1, Peter Bownes1.   

Abstract

AIMS: To 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.
METHODS: Doses 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.
RESULTS: Both 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 D99% 6.4% (95% CI:5.5%-7.3%,p<0.001) less than shot matched TMR10 plans. For gamma passing criteria 1%/1mm, 16% of targets had passing rates >95%. The range of dose differences in the targets was 0.2-4.6Gy.
CONCLUSIONS: Convolution 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.

Entities:  

Keywords:  Gamma Knife; TMR10; convolution; stereotactic radiosurgery; treatment planning

Year:  2018        PMID: 29657896      PMCID: PMC5893456     

Source DB:  PubMed          Journal:  J Radiosurg SBRT


  8 in total

1.  A simple scoring ratio to index the conformity of radiosurgical treatment plans. Technical note.

Authors:  I Paddick
Journal:  J Neurosurg       Date:  2000-12       Impact factor: 5.115

2.  Physical aspects of dynamic stereotactic radiosurgery with very small photon beams (1.5 and 3 mm in diameter).

Authors:  Kamen A Paskalev; Jan P Seuntjens; Horacio J Patrocinio; Ervin B Podgorsak
Journal:  Med Phys       Date:  2003-02       Impact factor: 4.071

3.  Monte carlo simulation of the Leksell Gamma Knife: II. Effects of heterogeneous versus homogeneous media for stereotactic radiosurgery.

Authors:  Vadim Moskvin; Robert Timmerman; Colleen DesRosiers; Marcus Randall; Paul DesRosiers; Phil Dittmer; Lech Papiez
Journal:  Phys Med Biol       Date:  2004-11-07       Impact factor: 3.609

4.  Unintended attenuation in the Leksell Gamma Knife Perfexion calibration-phantom adaptor and its effect on dose calibration.

Authors:  Jagdish P Bhatnagar; Josef Novotny; Mubina A Quader; Greg Bednarz; M Saiful Huq
Journal:  Med Phys       Date:  2009-04       Impact factor: 4.071

5.  A simple dose gradient measurement tool to complement the conformity index.

Authors:  Ian Paddick; Bodo Lippitz
Journal:  J Neurosurg       Date:  2006-12       Impact factor: 5.115

6.  Dosimetric comparison of absolute and relative dose distributions between tissue maximum ratio and convolution algorithms for acoustic neurinoma plans in Gamma Knife radiosurgery.

Authors:  Hisato Nakazawa; Masataka Komori; Yuta Shibamoto; Takahiko Tsugawa; Yoshimasa Mori; Tatsuya Kobayashi
Journal:  Acta Neurochir (Wien)       Date:  2014-06-03       Impact factor: 2.216

7.  Gamma Knife radiosurgery with CT image-based dose calculation.

Authors:  Andy Yuanguang Xu; Jagdish Bhatnagar; Greg Bednarz; Ajay Niranjan; Douglas Kondziolka; John Flickinger; L Dade Lunsford; M Saiful Huq
Journal:  J Appl Clin Med Phys       Date:  2015-11-08       Impact factor: 2.102

8.  Investigation of dosimetric differences between the TMR 10 and convolution algorithm for Gamma Knife stereotactic radiosurgery.

Authors:  Alvaro Rojas-Villabona; Neil Kitchen; Ian Paddick
Journal:  J Appl Clin Med Phys       Date:  2016-11-08       Impact factor: 2.102

  8 in total
  4 in total

1.  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.

Authors:  So Hee Park; Dong Min Choi; In-Ho Jung; Kyung Won Chang; Myung Ji Kim; Hyun Ho Jung; Jin Woo Chang; Hwiyoung Kim; Won Seok Chang
Journal:  Biomed Eng Lett       Date:  2022-06-13

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

Authors:  William N Duggar; Rui He; Rahul Bhandari; Madhava Kanakamedala; Bart Morris; Roberto Rey-Dios; Srinivasan Vijayakumar; Claus Chunli Yang
Journal:  J Radiosurg SBRT       Date:  2020

3.  Impact of tissue heterogeneity correction on Gamma Knife stereotactic radiosurgery of acoustic neuromas.

Authors:  Gabrielle W Peters; Christopher J Tien; Veronica Chiang; James Yu; James E Hansen; Sanjay Aneja
Journal:  J Radiosurg SBRT       Date:  2021

4.  Monte Carlo Dose Calculation Using MRI Based Synthetic CT Generated by Fully Convolutional Neural Network for Gamma Knife Radiosurgery.

Authors:  Jiankui Yuan; Elisha Fredman; Jian-Yue Jin; Serah Choi; David Mansur; Andrew Sloan; Mitchell Machtay; Yiran Zheng
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec
  4 in total

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