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Title: | RADBIOMOD: A simple program for utilising biological modelling in radiotherapy plan evaluation. | Austin Authors: | Chang, Joe H;Gehrke, Christopher;Prabhakar, Ramachandran;Gill, Suki;Wada, Morikatsu ;Lim Joon, Daryl ;Khoo, Vincent | Affiliation: | Radiation Oncology Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia University of Melbourne, Victoria, Australia Department of Clinical Oncology, Royal Marsden Hospital Trust & Institute of Cancer Research, London, UK |
Issue Date: | Jan-2016 | Date: | 2015-11-06 | Publication information: | Physica Medica 2016; 32(1): 248-54 | Abstract: | Radiotherapy plan evaluation is currently performed by assessing physical parameters, which has many limitations. Biological modelling can potentially allow plan evaluation that is more reflective of clinical outcomes, however further research is required into this field before it can be used clinically. A simple program, RADBIOMOD, has been developed using Visual Basic for Applications (VBA) for Microsoft Excel that incorporates multiple different biological models for radiotherapy plan evaluation, including modified Poisson tumour control probability (TCP), modified Zaider-Minerbo TCP, Lyman-Kutcher-Burman normal tissue complication probability (NTCP), equivalent uniform dose (EUD), EUD-based TCP, EUD-based NTCP, and uncomplicated tumour control probability (UTCP). RADBIOMOD was compared to existing biological modelling calculators for 15 sample cases. Comparing RADBIOMOD to the existing biological modelling calculators, all models tested had mean absolute errors and root mean square errors less than 1%. RADBIOMOD produces results that are non-significantly different from existing biological modelling calculators for the models tested. It is hoped that this freely available, user-friendly program will aid future research into biological modelling. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/18700 | DOI: | 10.1016/j.ejmp.2015.10.091 | ORCID: | Journal: | Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB) | PubMed URL: | 26549777 | Type: | Journal Article | Subjects: | Biological modelling Normal tissue complication probability Radiotherapy plan evaluation Tumour control probability |
Appears in Collections: | Journal articles |
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