title: GTV-based prescription in SBRT for lung lesions using advanced dose calculation algorithms.
abstract: BACKGROUND
  The aim of current study was to investigate the way dose is prescribed to lung lesions during SBRT using advanced dose calculation algorithms that take into account electron transport (type B algorithms). As type A algorithms do not take into account secondary electron transport, they overestimate the dose to lung lesions. Type B algorithms are more accurate but still no consensus is reached regarding dose prescription. The positive clinical results obtained using type A algorithms should be used as a starting point.
  
  
  METHODS
  In current work a dose-calculation experiment is performed, presenting different prescription methods. Three cases with three different sizes of peripheral lung lesions were planned using three different treatment platforms. For each individual case 60 Gy to the PTV was prescribed using a type A algorithm and the dose distribution was recalculated using a type B algorithm in order to evaluate the impact of the secondary electron transport. Secondly, for each case a type B algorithm was used to prescribe 48 Gy to the PTV, and the resulting doses to the GTV were analyzed. Finally, prescriptions based on specific GTV dose volumes were evaluated.
  
  
  RESULTS
  When using a type A algorithm to prescribe the same dose to the PTV, the differences regarding median GTV doses among platforms and cases were always less than 10% of the prescription dose. The prescription to the PTV based on type B algorithms, leads to a more important variability of the median GTV dose among cases and among platforms, (respectively 24%, and 28%). However, when 54 Gy was prescribed as median GTV dose, using a type B algorithm, the variability observed was minimal.
  
  
  CONCLUSIONS
  Normalizing the prescription dose to the median GTV dose for lung lesions avoids variability among different cases and treatment platforms of SBRT when type B algorithms are used to calculate the dose. The combination of using a type A algorithm to optimize a homogeneous dose in the PTV and using a type B algorithm to prescribe the median GTV dose provides a very robust method for treating lung lesions.
authors.affiliation: Service de Physique Médicale, Centre Oscar Lambret, Lille, France. t-lacornerie@o-lambret.fr.
authors.forename: Thomas
authors.initials: T
authors.lastname: Lacornerie
authors.affiliation: Service de Physique Médicale, Institut de Cancérologie de l'Ouest, Nantes, France. albert.lisbona@ico.unicancer.fr.
authors.forename: Albert
authors.initials: A
authors.lastname: Lisbona
authors.affiliation: Département Universitaire de Radiothérapie, Centre Oscar Lambret, Lille, France. x-mirabel@o-lambret.fr.
authors.forename: Xavier
authors.initials: X
authors.lastname: Mirabel
authors.affiliation: Département Universitaire de Radiothérapie, Centre Oscar Lambret, Lille, France. e-lartigau@o-lambret.fr.
authors.forename: Eric
authors.initials: E
authors.lastname: Lartigau
authors.affiliation: Service de Physique Médicale, Centre Oscar Lambret, Lille, France. n-reynaert@o-lambret.fr.
authors.forename: Nick
authors.initials: N
authors.lastname: Reynaert
mesh_terms: D000465:Algorithms; D006801:Humans; D008175:Lung Neoplasms / Q000473:pathology / Q000601:surgery*; D009010:Monte Carlo Method; D019047:Phantoms, Imaging; D016634:Radiosurgery; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D050397:Radiotherapy, Intensity-Modulated / Q000379:methods*