title: Conformal treatment planning for interstitial brachytherapy.
abstract: OBJECTIVE
  Quality of a brachytherapy application depends on the choice of the target volume, on the dose distribution homogeneity and radiation injury on critical tissue, which should be postulated by advanced brachytherapy treatment planning systems.
  
  
  METHODS
  Basic imaging method for conformal treatment planning is the cross-sectional imaging. The clinical applicability of a new type 3D planning system using CT and/or MRT-simulation or US-simulation for planning purposes was studied. The planning system developed at Kiel University differs from usual brachytherapy planning systems because of the obligatory use of cross-sectional imaging as basic imaging method for reconstruction of structures of interest. Dose distribution and normal anatomy can be visualized on each CT/MRT/US slice as well as coronal, sagittal, axial and free chosen reconstruction (3D), as well as dose-volume histogram curves and special colour-coded visualization of dose homogeneity in the target can be analyzed.
  
  
  RESULTS
  Because of the experience in the clinical routine, as well as on the base of 30 simultaneous planning procedures on both 2D (semi-3D) and 3D planning systems we observed similar time consumption. Advantages of 3D planning were the better interpretation of target delineation, delineation of critical structures as well as dose distribution, causing more accurate volume optimisation of dose distribution.
  
  
  CONCLUSIONS
  Conformal brachytherapy treatment planning for interstitial brachytherapy means significant advantages for the clinical routine compared to 2D or semi-3D methods.
authors.affiliation: Klinik für Strahlentherapie (Radioonkologie), Christian-Albrechts-Universität zu Kiel.
authors.forename: G
authors.initials: G
authors.lastname: Kovács
authors.forename: D
authors.initials: D
authors.lastname: Hebbinghaus
authors.forename: P
authors.initials: P
authors.lastname: Dennert
authors.forename: P
authors.initials: P
authors.lastname: Kohr
authors.forename: R
authors.initials: R
authors.lastname: Wilhelm
authors.forename: B
authors.initials: B
authors.lastname: Kimmig
mesh_terms: D000465:Algorithms; D001650:Bile Duct Neoplasms / Q000532:radiotherapy; D001859:Bone Neoplasms / Q000532:radiotherapy / Q000556:secondary; D001918:Brachytherapy / Q000379:methods*; D001932:Brain Neoplasms / Q000532:radiotherapy; D005069:Evaluation Studies as Topic; D005260:Female; D006258:Head and Neck Neoplasms / Q000532:radiotherapy; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D009918:Orbital Neoplasms / Q000532:radiotherapy; D011471:Prostatic Neoplasms / Q000532:radiotherapy; D011829:Radiation Dosage; D011880:Radiotherapy Planning, Computer-Assisted; D012509:Sarcoma / Q000532:radiotherapy; D012983:Soft Tissue Neoplasms / Q000532:radiotherapy; D014057:Tomography, X-Ray Computed; D014463:Ultrasonography; D001749:Urinary Bladder Neoplasms / Q000532:radiotherapy