Joe H Chang1, Christopher Gehrke2, Ramachandran Prabhakar2, Suki Gill2, Morikatsu Wada3, Daryl Lim Joon4, Vincent Khoo5. 1. Radiation Oncology Centre, Austin Health, Heidelberg, Victoria, Australia; Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; University of Melbourne, Victoria, Australia. Electronic address: joe.chang@austin.org.au. 2. Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia. 3. Radiation Oncology Centre, Austin Health, Heidelberg, Victoria, Australia. 4. Radiation Oncology Centre, Austin Health, Heidelberg, Victoria, Australia; University of Melbourne, Victoria, Australia. 5. Radiation Oncology Centre, Austin Health, Heidelberg, Victoria, Australia; University of Melbourne, Victoria, Australia; Department of Clinical Oncology, Royal Marsden Hospital Trust & Institute of Cancer Research, London, UK.
Abstract
PURPOSE: 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. METHODS: 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. RESULTS: Comparing RADBIOMOD to the existing biological modelling calculators, all models tested had mean absolute errors and root mean square errors less than 1%. CONCLUSIONS: 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.
PURPOSE: 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. METHODS: 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. RESULTS: Comparing RADBIOMOD to the existing biological modelling calculators, all models tested had mean absolute errors and root mean square errors less than 1%. CONCLUSIONS: 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.
Authors: Sarah O S Osman; Ciaran Fairmichael; Glenn Whitten; Gavin S Lundy; Rachel Wesselman; Melissa LaBonte Wilson; Alan R Hounsell; Kevin M Prise; Denise Irvine; Conor K McGarry; Suneil Jain Journal: Radiat Oncol Date: 2022-02-22 Impact factor: 3.481
Authors: Andrew W See; Patrick Bowden; Geoffrey Wells; Sree Appu; Nathan Lawrentschuk; Peter Liodakis; Chloe Pandeli; Yolanda Aarons; Lloyd M L Smyth; Dean P McKenzie Journal: Radiat Oncol Date: 2022-07-25 Impact factor: 4.309