Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/18700
Title: RADBIOMOD: A simple program for utilising biological modelling in radiotherapy plan evaluation.
Authors: Chang, Joe H;Gehrke, Christopher;Prabhakar, Ramachandran;Gill, Suki;Wada, Morikatsu;Lim Joon, Daryl;Khoo, Vincent
Affiliation: Radiation Oncology Centre, Austin Health, Heidelberg, Victoria, Australia
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
EDate: 2015-11-06
Citation: 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: http://ahro.austin.org.au/austinjspui/handle/1/18700
DOI: 10.1016/j.ejmp.2015.10.091
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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