title: RADBIOMOD: A simple program for utilising biological modelling in radiotherapy plan evaluation.
abstract: OBJECTIVE
  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.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. Electronic address: joe.chang@austin.org.au.
authors.forename: Joe H
authors.initials: JH
authors.lastname: Chang
authors.affiliation: Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
authors.forename: Christopher
authors.initials: C
authors.lastname: Gehrke
authors.affiliation: Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
authors.forename: Ramachandran
authors.initials: R
authors.lastname: Prabhakar
authors.affiliation: Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
authors.forename: Suki
authors.initials: S
authors.lastname: Gill
authors.affiliation: Radiation Oncology Centre, Austin Health, Heidelberg, Victoria, Australia.
authors.forename: Morikatsu
authors.initials: M
authors.lastname: Wada
authors.affiliation: Radiation Oncology Centre, Austin Health, Heidelberg, Victoria, Australia; University of Melbourne, Victoria, Australia.
authors.forename: Daryl
authors.initials: D
authors.lastname: Lim Joon
authors.affiliation: 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.
authors.forename: Vincent
authors.initials: V
authors.lastname: Khoo
mesh_terms: D006258:Head and Neck Neoplasms / Q000532:radiotherapy; D006801:Humans; D016014:Linear Models; D008175:Lung Neoplasms / Q000532:radiotherapy; D008297:Male; D015233:Models, Statistical; D016011:Normal Distribution; D010100:Oxygen / Q000737:chemistry; D010307:Parotid Neoplasms / Q000532:radiotherapy; D016012:Poisson Distribution; D011336:Probability; D011471:Prostatic Neoplasms / Q000532:radiotherapy; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D020266:Radiotherapy, Conformal / Q000379:methods*; D050397:Radiotherapy, Intensity-Modulated / Q000379:methods*; D015203:Reproducibility of Results; D012984:Software
chemical_list: D010100:Oxygen
keywords: Biological modelling; Normal tissue complication probability; Radiotherapy plan evaluation; Tumour control probability