Literature DB >> 25431642

Impact of dose calculation algorithm on radiation therapy.

Wen-Zhou Chen1, Ying Xiao1, Jun Li1.   

Abstract

The quality of radiation therapy depends on the ability to maximize the tumor control probability while minimize the normal tissue complication probability. Both of these two quantities are directly related to the accuracy of dose distributions calculated by treatment planning systems. The commonly used dose calculation algorithms in the treatment planning systems are reviewed in this work. The accuracy comparisons among these algorithms are illustrated by summarizing the highly cited research papers on this topic. Further, the correlation between the algorithms and tumor control probability/normal tissue complication probability values are manifested by several recent studies from different groups. All the cases demonstrate that dose calculation algorithms play a vital role in radiation therapy.

Entities:  

Keywords:  Algorithm; Dose calculation; Normal tissue complication probability; Radiation therapy; Tumor control probability

Year:  2014        PMID: 25431642      PMCID: PMC4241494          DOI: 10.4329/wjr.v6.i11.874

Source DB:  PubMed          Journal:  World J Radiol        ISSN: 1949-8470


  32 in total

1.  A 3D photon superposition/convolution algorithm and its foundation on results of Monte Carlo calculations.

Authors:  W Ulmer; J Pyyry; W Kaissl
Journal:  Phys Med Biol       Date:  2005-04-06       Impact factor: 3.609

2.  A pencil beam model for photon dose calculation.

Authors:  A Ahnesjö; M Saxner; A Trepp
Journal:  Med Phys       Date:  1992 Mar-Apr       Impact factor: 4.071

3.  Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations.

Authors:  Tommy Knöös; Elinore Wieslander; Luca Cozzi; Carsten Brink; Antonella Fogliata; Dirk Albers; Håkan Nyström; Søren Lassen
Journal:  Phys Med Biol       Date:  2006-10-24       Impact factor: 3.609

4.  Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous media.

Authors:  A Ahnesjö
Journal:  Med Phys       Date:  1989 Jul-Aug       Impact factor: 4.071

5.  When and how can we improve precision in radiotherapy?

Authors:  A Dutreix
Journal:  Radiother Oncol       Date:  1984-12       Impact factor: 6.280

6.  The equivalent tissue-air ratio method for making absorbed dose calculations in a heterogeneous medium.

Authors:  M R Sontag; J R Cunningham
Journal:  Radiology       Date:  1978-12       Impact factor: 11.105

7.  Verification by Monte Carlo methods of a power law tissue-air ratio algorithm for inhomogeneity corrections in photon beam dose calculations.

Authors:  S Webb; R A Fox
Journal:  Phys Med Biol       Date:  1980-03       Impact factor: 3.609

8.  Influence of dose calculation algorithms on the predicted dose distribution and NTCP values for NSCLC patients.

Authors:  Tine B Nielsen; Elinore Wieslander; Antonella Fogliata; Morten Nielsen; Olfred Hansen; Carsten Brink
Journal:  Med Phys       Date:  2011-05       Impact factor: 4.071

9.  A model for calculating tumour control probability in radiotherapy including the effects of inhomogeneous distributions of dose and clonogenic cell density.

Authors:  S Webb; A E Nahum
Journal:  Phys Med Biol       Date:  1993-06       Impact factor: 3.609

10.  Clinical implications in the use of the PBC algorithm versus the AAA by comparison of different NTCP models/parameters.

Authors:  Antonella Bufacchi; Barbara Nardiello; Roberto Capparella; Luisa Begnozzi
Journal:  Radiat Oncol       Date:  2013-07-04       Impact factor: 3.481

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  11 in total

1.  Assessment of radiation-induced secondary cancer risk in the Brazilian population from left-sided breast-3D-CRT using MCNPX.

Authors:  Bruno Melo Mendes; Bruno Machado Trindade; Telma Cristina Ferreira Fonseca; Tarcisio Passos Ribeiro de Campos
Journal:  Br J Radiol       Date:  2017-10-27       Impact factor: 3.039

Review 2.  Advanced Proton Beam Dosimetry Part I: review and performance evaluation of dose calculation algorithms.

Authors:  Jatinder Saini; Erik Traneus; Dominic Maes; Rajesh Regmi; Stephen R Bowen; Charles Bloch; Tony Wong
Journal:  Transl Lung Cancer Res       Date:  2018-04

Review 3.  Advanced radiation techniques for locally advanced non-small cell lung cancer: intensity-modulated radiation therapy and proton therapy.

Authors:  Nikhil Yegya-Raman; Wei Zou; Ke Nie; Jyoti Malhotra; Salma K Jabbour
Journal:  J Thorac Dis       Date:  2018-08       Impact factor: 2.895

4.  Boosting radiotherapy dose calculation accuracy with deep learning.

Authors:  Yixun Xing; You Zhang; Dan Nguyen; Mu-Han Lin; Weiguo Lu; Steve Jiang
Journal:  J Appl Clin Med Phys       Date:  2020-06-19       Impact factor: 2.102

5.  Dose Calculation Comparisons between Three Modern Treatment Planning Systems.

Authors:  Courtney Bosse; Ganesh Narayanasamy; Daniel Saenz; Pamela Myers; Neil Kirby; Karl Rasmussen; Panayiotis Mavroidis; Niko Papanikolaou; Sotirios Stathakis
Journal:  J Med Phys       Date:  2020-10-13

6.  Investigation of tube voltage dependence on CT number and its effect on dose calculation algorithms using thorax phantom in Monaco treatment planning system for external beam radiation therapy.

Authors:  Amit Saini; V P Pandey; Pankaj Kumar; Avtar Singh; Rajesh Pasricha
Journal:  J Med Phys       Date:  2021-12-31

7.  Advanced proton beam dosimetry part II: Monte Carlo vs. pencil beam-based planning for lung cancer.

Authors:  Dominic Maes; Jatinder Saini; Jing Zeng; Ramesh Rengan; Tony Wong; Stephen R Bowen
Journal:  Transl Lung Cancer Res       Date:  2018-04

8.  Technical and dosimetric implications of respiratory induced density variations in a heterogeneous lung phantom.

Authors:  Dennis J Mohatt; Tianjun Ma; David B Wiant; Naveed M Islam; Jorge Gomez; Anurag K Singh; Harish K Malhotra
Journal:  Radiat Oncol       Date:  2018-09-04       Impact factor: 3.481

9.  Comparative photon and proton dosimetry for patients with mediastinal lymphoma in the era of Monte Carlo treatment planning and variable relative biological effectiveness.

Authors:  Yolanda D Tseng; Shadonna M Maes; Gregory Kicska; Patricia Sponsellor; Erik Traneus; Tony Wong; Robert D Stewart; Jatinder Saini
Journal:  Radiat Oncol       Date:  2019-12-30       Impact factor: 3.481

10.  Implementation and experimental evaluation of Mega-voltage fan-beam CT using a linear accelerator.

Authors:  Hao Gong; Shengzhen Tao; Justin D Gagneur; Wei Liu; Jiajian Shen; Cynthia H McCollough; Yanle Hu; Shuai Leng
Journal:  Radiat Oncol       Date:  2021-07-28       Impact factor: 3.481

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