Literature DB >> 22380372

The use and QA of biologically related models for treatment planning: short report of the TG-166 of the therapy physics committee of the AAPM.

X Allen Li1, Markus Alber, Joseph O Deasy, Andrew Jackson, Kyung-Wook Ken Jee, Lawrence B Marks, Mary K Martel, Charles Mayo, Vitali Moiseenko, Alan E Nahum, Andrzej Niemierko, Vladimir A Semenenko, Ellen D Yorke.   

Abstract

Treatment planning tools that use biologically related models for plan optimization and/or evaluation are being introduced for clinical use. A variety of dose-response models and quantities along with a series of organ-specific model parameters are included in these tools. However, due to various limitations, such as the limitations of models and available model parameters, the incomplete understanding of dose responses, and the inadequate clinical data, the use of biologically based treatment planning system (BBTPS) represents a paradigm shift and can be potentially dangerous. There will be a steep learning curve for most planners. The purpose of this task group is to address some of these relevant issues before the use of BBTPS becomes widely spread. In this report, the authors (1) discuss strategies, limitations, conditions, and cautions for using biologically based models and parameters in clinical treatment planning; (2) demonstrate the practical use of the three most commonly used commercially available BBTPS and potential dosimetric differences between biologically model based and dose-volume based treatment plan optimization and evaluation; (3) identify the desirable features and future directions in developing BBTPS; and (4) provide general guidelines and methodology for the acceptance testing, commissioning, and routine quality assurance (QA) of BBTPS.

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Year:  2012        PMID: 22380372     DOI: 10.1118/1.3685447

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  76 in total

1.  The use of TCP based EUD to rank and compare lung radiotherapy plans: in-silico study to evaluate the correlation between TCP with physical quality indices.

Authors:  Abdulhamid Chaikh; Jacques Balosso
Journal:  Transl Lung Cancer Res       Date:  2017-06

2.  Impact of dose calculation models on radiotherapy outcomes and quality adjusted life years for lung cancer treatment: do we need to measure radiotherapy outcomes to tune the radiobiological parameters of a normal tissue complication probability model?

Authors:  Abdulhamid Chaikh; Nicolas Docquière; Pierre-Yves Bondiau; Jacques Balosso
Journal:  Transl Lung Cancer Res       Date:  2016-12

3.  Treatment planning evaluation and optimization should be biologically and not dose/volume based.

Authors:  Joseph O Deasy; Charles S Mayo; Colin G Orton
Journal:  Med Phys       Date:  2015-06       Impact factor: 4.071

4.  Analyzing the performance of the planning system by use of AAPM TG 119 test cases.

Authors:  L Nithya; N Arunai Nambi Raj; Sasikumar Rathinamuthu; Manish Bhushan Pandey
Journal:  Radiol Phys Technol       Date:  2015-07-04

5.  Correlation between pneumonitis risk in radiation oncology and lung density measured with X-ray computed tomography.

Authors:  Abdulhamid Chaikh; Jacques Balosso
Journal:  Quant Imaging Med Surg       Date:  2016-08

6.  A framework for implementation of organ effect models in TOPAS with benchmarks extended to proton therapy.

Authors:  J Ramos-Méndez; J Perl; J Schümann; J Shin; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

7.  Extracting the normal lung dose-response curve from clinical DVH data: a possible role for low dose hyper-radiosensitivity, increased radioresistance.

Authors:  J J Gordon; K Snyder; H Zhong; K Barton; Z Sun; I J Chetty; M Matuszak; R K Ten Haken
Journal:  Phys Med Biol       Date:  2015-08-21       Impact factor: 3.609

Review 8.  Functional imaging in radiation therapy planning for head and neck cancer.

Authors:  Luis A Pérez Romasanta; María José García Velloso; Antonio López Medina
Journal:  Rep Pract Oncol Radiother       Date:  2013-11-09

9.  Objective assessment of the effects of tumor motion in radiation therapy.

Authors:  Yijun Ding; Harrison H Barrett; Matthew A Kupinski; Yevgeniy Vinogradskiy; Moyed Miften; Bernard L Jones
Journal:  Med Phys       Date:  2019-06-07       Impact factor: 4.071

10.  Assessing the shift of radiobiological metrics in lung radiotherapy plans using 2D gamma index.

Authors:  Abdulhamid Chaikh; Jacques Balosso
Journal:  Transl Lung Cancer Res       Date:  2016-06
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