title: The Use of Multidimensional Modeling of the Aorta in Planning the Resection of an Aortic Angiosarcoma.
abstract: OBJECTIVE
  We report a technique of finite-element multidimensional modeling that was used to help with the planning of and the resection of an angiosarcoma in a single patient.
  
  
  METHODS
  A patient was referred to our department with suspected aortic angiosarcoma. We visualized and reconstructed the computed tomography and magnetic resonance imaging scans of this patient to create finite-element multidimensional models of his diseased aorta.
  
  
  RESULTS
  This technique and the multidimensional models were very helpful in assessing the tumor size and its extension. It also facilitated preoperative planning of the aortic resection and repair.
  
  
  CONCLUSIONS
  Finite-element multidimensional modeling is a useful technique for preoperative planning of aortic operations in patients with angiosarcoma.
authors.affiliation: Department of Cardiothoracic Surgery, Morriston Hospital and College of Medicine, Swansea University, Swansea, United Kingdom; Department of Cardiothoracic Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands. Electronic address: drhosabd@yahoo.com.
authors.forename: Abdullrazak
authors.initials: A
authors.lastname: Hossien
authors.affiliation: Department of Cardiothoracic Surgery, Morriston Hospital and College of Medicine, Swansea University, Swansea, United Kingdom.
authors.forename: Umair
authors.initials: U
authors.lastname: Aslam
authors.affiliation: Department of Cardiothoracic Surgery, Morriston Hospital and College of Medicine, Swansea University, Swansea, United Kingdom.
authors.forename: Hiba
authors.initials: H
authors.lastname: Khan
authors.affiliation: Department of Cardiology, Morriston Hospital, Swansea, United Kingdom.
authors.forename: Adrian
authors.initials: A
authors.lastname: Ionescu
authors.affiliation: Department of Histopathology, Morriston Hospital, Swansea, United Kingdom.
authors.forename: Brotto
authors.initials: B
authors.lastname: Maurizi
authors.affiliation: Department of Plastic Surgery, Morriston Hospital, Swansea, United Kingdom.
authors.forename: Laing
authors.initials: L
authors.lastname: Hamish
authors.affiliation: Department of Cardiothoracic Surgery, Morriston Hospital and College of Medicine, Swansea University, Swansea, United Kingdom.
authors.forename: Saeed
authors.initials: S
authors.lastname: Ashraf
mesh_terms: D003198:Computer Simulation; D020342:Finite Element Analysis; D006394:Hemangiosarcoma / Q000175:diagnosis* / Q000601:surgery; D006801:Humans; D021621:Imaging, Three-Dimensional; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D008297:Male; D008875:Middle Aged; D061330:Multidetector Computed Tomography / Q000379:methods*; D009367:Neoplasm Staging / Q000379:methods*; D015203:Reproducibility of Results; D019043:Vascular Neoplasms / Q000175:diagnosis* / Q000601:surgery; D014656:Vascular Surgical Procedures / Q000379:methods