title: Automatic generation of a plan optimization volume for tangential field breast cancer radiation therapy.
abstract: OBJECTIVE
  Dose homogeneity is one of the objectives during computer planning of postoperative radiotherapy of the conserved breast. For three-dimensional (3-D) optimization of the dose distribution using serial CT scan images, suitable volumes have to be delineated. The purpose of this study was to develop a computer-generated delineation of a plan optimization volume (POV) and an irradiated volume (IV) and to automate their use in a fast dose homogeneity optimization engine.
  
  
  METHODS
  Simulation was performed according to our standard procedure which involves the positioning of a lead collar around the palpable breast to facilitate the definition of gantry angle, collimator angle and field aperture for tangential wedged photon beams. In a change to the standard procedure an anterolateral radiograph was taken with its axis orthogonal to the central plane of the two tangential half-beams. Images from a serial CT scan were acquired in treatment position, and the geometric data of the three simulated beams were used by a computer program to generate the POV and IV. For each patient, weights of wedged and unwedged beams were optimized by either human heuristics using only the central slice (2-D), the whole set of CT slices (3-D), or by a computer algorithm using the POV, IV and lung volume with constrained matrix inversion (CMI) as optimization method. The resulting dose distributions were compared.
  
  
  RESULTS
  The total planning procedure took, on average, 44 min of which < 7 min were needed for human interactions, compared to about 52 min for the standard planning at Ghent University Hospital, Belgium. The simulation time is increased by 2-3 min. The method provides 3-D information of the dose distribution. Dose homogeneity and minimum dose inside the POV and maximum dose inside the IV were not significantly different for the three optimization techniques.
  
  
  CONCLUSIONS
  This automated planning method is capable of replacing the contouring of the clinical target volume as well as the trial-and-error procedure of assigning weights of wedged and unwedged beams by an experienced planner.
authors.affiliation: Division of Radiotherapy, Ghent University Hospital, Gent, Belgium.
authors.forename: Koen
authors.initials: K
authors.lastname: Van Vaerenbergh
authors.forename: Werner
authors.initials: W
authors.lastname: De Gersem
authors.forename: Luc
authors.initials: L
authors.lastname: Vakaet
authors.forename: Marc
authors.initials: M
authors.lastname: Coghe
authors.forename: Tom
authors.initials: T
authors.lastname: Boterberg
authors.forename: Marlies
authors.initials: M
authors.lastname: Bakker
authors.forename: Christina
authors.initials: C
authors.lastname: Derie
authors.forename: Wouter
authors.initials: W
authors.lastname: Willaert
authors.forename: Patricia
authors.initials: P
authors.lastname: Seij
authors.forename: Wim
authors.initials: W
authors.lastname: Duthoy
authors.forename: Carlos
authors.initials: C
authors.lastname: De Wagter
authors.forename: Wilfried
authors.initials: W
authors.lastname: De Neve
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000532:radiotherapy*; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D011874:Radiometry / Q000379:methods*; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016896:Treatment Outcome