Literature DB >> 19623858

The significance of the choice of radiobiological (NTCP) models in treatment plan objective functions.

J Miller1, M Fuller, S Vinod, N Suchowerska, L Holloway.   

Abstract

A Clinician's discrimination between radiation therapy treatment plans is traditionally a subjective process, based on experience and existing protocols. A more objective and quantitative approach to distinguish between treatment plans is to use radiobiological or dosimetric objective functions, based on radiobiological or dosimetric models. The efficacy of models is not well understood, nor is the correlation of the rank of plans resulting from the use of models compared to the traditional subjective approach. One such radiobiological model is the Normal Tissue Complication Probability (NTCP). Dosimetric models or indicators are more accepted in clinical practice. In this study, three radiobiological models, Lyman NTCP, critical volume NTCP and relative seriality NTCP, and three dosimetric models, Mean Lung Dose (MLD) and the Lung volumes irradiated at 10Gy (V10) and 20Gy (V20), were used to rank a series of treatment plans using, harm to normal (Lung) tissue as the objective criterion. None of the models considered in this study showed consistent correlation with the Radiation Oncologists plan ranking. If radiobiological or dosimetric models are to be used in objective functions for lung treatments, based on this study it is recommended that the Lyman NTCP model be used because it will provide most consistency with traditional clinician ranking.

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Year:  2009        PMID: 19623858     DOI: 10.1007/bf03178632

Source DB:  PubMed          Journal:  Australas Phys Eng Sci Med        ISSN: 0158-9938            Impact factor:   1.430


  5 in total

1.  Volumetric-modulated arc therapy vs. c-IMRT in esophageal cancer: a treatment planning comparison.

Authors:  Li Yin; Hao Wu; Jian Gong; Jian-Hao Geng; Fan Jiang; An-Hui Shi; Rong Yu; Yong-Heng Li; Shu-Kui Han; Bo Xu; Guang-Ying Zhu
Journal:  World J Gastroenterol       Date:  2012-10-07       Impact factor: 5.742

2.  Dosimetric and Radiobiological Comparison of External Beam Radiotherapy Using Simultaneous Integrated Boost Technique for Esophageal Cancer in Different Location.

Authors:  Lu Wang; Chengqiang Li; Xue Meng; Chengming Li; Xindong Sun; Dongping Shang; Linlin Pang; Yixiao Li; Jie Lu; Jinming Yu
Journal:  Front Oncol       Date:  2019-07-25       Impact factor: 6.244

3.  Exposure-response modeling improves selection of radiation and radiosensitizer combinations.

Authors:  Tim Cardilin; Joachim Almquist; Mats Jirstrand; Astrid Zimmermann; Floriane Lignet; Samer El Bawab; Johan Gabrielsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-10-08       Impact factor: 2.745

4.  Prescription Value-Based Automatic Optimization of Importance Factors in Inverse Planning.

Authors:  Caiping Guo; Pengcheng Zhang; Zhiguo Gui; Huazhong Shu; Lihong Zhai; Jinrong Xu
Journal:  Technol Cancer Res Treat       Date:  2019 Jan-Dec

5.  Comprehensive Comparison of Progressive Optimization Algorithm Based Automatic Plan and Manually Planned Treatment Technique for Cervical-Thoracic Esophageal Cancers.

Authors:  Yongqiang Zhou; Xiaojun Xiang; Jianping Xiong; Changfei Gong
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec
  5 in total

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