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Virtual planning for IOERT:
radiance®
Manuel Desco
Dpto. Bioingeniería e Ingeniería Aeroespacial, UC3M
Hospital General Universitario Gregorio Marañón
Coordinador Red ITEMAS
desco@hggm.es
Outline

  Intraoperative Radiation Therapy
   Planning Workstation: radiance®
    The problem and the solution
    How did we do it?
    Key points
IOERT: Definition
 Radiotherapy during cancer surgery
 Normal tissue protection (physical displacement)
 Minimal tumor burden
The problem with IOERT
      Patient anatomy changed
      Difficult dosimetry estimation
      Distrust, lack of confidence
The solution

 A Surgery – Radiotherapy planning
  workstation which:
   Works on preoperative images
    - Simulates surgery
    - Deals with elastic anatomy changes
   Simulates application insertion
   Estimates dosimetry
   May work on real-time intraoperative /
    radiation session imaging studies
Radiance®
 IEORT 2D - 3D planning
 Dosimetry estimation
IOERT Planning Workflow
 Segmentation          Simulation         Dosimetric pre-planning


Define regions       Simulate the         Select applicator parameters
 Organs to           patient position,    Dose estimated with PB
   protect            orientation and
                      surgical access
                                           Treatment energy defined with
 High risk areas                            the help of DVHs for different
                                             regions
First prototype: 1997




No company found until 2006
radiance: IP
 Patent
   PCT/ES2008/000240
   WO 2009/127747 A1
 Agencia medicamento (2011)
 FDA approval (2012)
Validation

 Real patient during CT study
Snowball growing
     Projects and partners
           Several industrial projects (2006-2013):
            PROFIT, IMADE, INNPACTO
            (“PRECISION”).
           2 clinical evaluation projects (ETES,
            ISCIII)
           Growing consortium :
 Universities                                    Hospitals                        Industrial
     • Complutense of Madrid (nuclear physics)        • Gregorio Marañón (Madrid)       • GMV (Madrid)
     • Granada (physics)                              • Castellón (Castellón)           • TRF (Zaragoza)
     • Madrid Politechnical (biomedical imaging)      • Ramón y Cajal (Madrid)
     • Valencia (robotics)                            • La Luz (Madrid)
                                                      • San Jaime (Alicante)
radiance: on-going work
Key points
 Clinical initiative
   Solving a real problem
   Creates new market
   No competence


 Finding a company: A hard job
   Long times involved until success


 Technology transfer vs. PPP

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Desco, Manuel - Virtual planning for IOERT: radiance

  • 1. Virtual planning for IOERT: radiance® Manuel Desco Dpto. Bioingeniería e Ingeniería Aeroespacial, UC3M Hospital General Universitario Gregorio Marañón Coordinador Red ITEMAS desco@hggm.es
  • 2. Outline  Intraoperative Radiation Therapy Planning Workstation: radiance®  The problem and the solution  How did we do it?  Key points
  • 3. IOERT: Definition  Radiotherapy during cancer surgery  Normal tissue protection (physical displacement)  Minimal tumor burden
  • 4. The problem with IOERT  Patient anatomy changed  Difficult dosimetry estimation  Distrust, lack of confidence
  • 5. The solution  A Surgery – Radiotherapy planning workstation which:  Works on preoperative images - Simulates surgery - Deals with elastic anatomy changes  Simulates application insertion  Estimates dosimetry  May work on real-time intraoperative / radiation session imaging studies
  • 6. Radiance®  IEORT 2D - 3D planning  Dosimetry estimation
  • 7. IOERT Planning Workflow Segmentation Simulation Dosimetric pre-planning Define regions  Simulate the  Select applicator parameters  Organs to patient position,  Dose estimated with PB protect orientation and surgical access  Treatment energy defined with  High risk areas the help of DVHs for different regions
  • 8. First prototype: 1997 No company found until 2006
  • 9. radiance: IP  Patent  PCT/ES2008/000240  WO 2009/127747 A1  Agencia medicamento (2011)  FDA approval (2012)
  • 10. Validation Real patient during CT study
  • 11. Snowball growing  Projects and partners  Several industrial projects (2006-2013): PROFIT, IMADE, INNPACTO (“PRECISION”).  2 clinical evaluation projects (ETES, ISCIII)  Growing consortium :  Universities  Hospitals Industrial • Complutense of Madrid (nuclear physics) • Gregorio Marañón (Madrid) • GMV (Madrid) • Granada (physics) • Castellón (Castellón) • TRF (Zaragoza) • Madrid Politechnical (biomedical imaging) • Ramón y Cajal (Madrid) • Valencia (robotics) • La Luz (Madrid) • San Jaime (Alicante)
  • 13. Key points  Clinical initiative  Solving a real problem  Creates new market  No competence  Finding a company: A hard job  Long times involved until success  Technology transfer vs. PPP