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PET and Radiotherapy for Head and
      Neck Cancer: today and tomorrow…
                  Vincent GREGOIRE, M.D., Ph.D.
              Head and Neck Oncology Program, Radiation
             Oncology Dept., & Center for Molecular Imaging
               and Experimental Radiotherapy, Université
                Catholique de Louvain, St-Luc University
                       Hospital, Brussels, Belgium
MAESTRO
 Jan. 2007
Potential added-value of PET in oncology

                                          S / RxTh / CH

      Work-up-staging
      prognostic evaluation

                        GTV/CTV
                        Selection/delineation

                                      Functional Image-guided
                                      IMRT

                                                          Early response
                    FDG                                   evaluation
                    C-methionine
                    EF3 - F-miso - CuATSM                                  Final response
                    BFU - FLT                                              evaluation
                    …                                                                       Early detection
                                                                                            of recurrence
MAESTRO
 Jan. 2007
Imaging in radiotherapy:
                      … today and tomorrow …


             • Selection of Target Volumes with FDG-PET
             • Delineation of GTV with FDG-PET
             • Selection / delineation of CTV




MAESTRO
 Jan. 2007
The use of FDG-PET for the selection of
                Target Volume: setting the scene

                                  Laryngeal SCC: T2-N1-M0

                                     Q: unilateral vs bilateral
                                        neck irradiation?


                                     A: highly sensitive
                                        examination




MAESTRO
 Jan. 2007
Detection of metastatic disease in the neck
                  • N=106 patients
                  • oral cavity tumors
                  • Neck dissection for all patients (2196 lymph nodes)

                      Sensitivity    Specificity   Accuracy   NPV         PPV
             PET         70%             82%         75%      71%         81%
             CT          66%             69%         70%      66%         74%
             MRI         64%             69%         66%      62%         71%
             US          84%             68%         76%      79%         75%




MAESTRO
 Jan. 2007                                                            Stuckensen et al., 2000
Potential added-value of PET in oncology
                    Comparison between CT and FDG-PET for nodal staging.

             Site                   Sensitivity             Specificity

                                    CT            FDG-PET   CT            FDG-PET

             Head and neck cancer   36-86%        50-96%    56-100%       88-100%

             NSC lung cancer        45%           80-90%    85%           85-100%

             Cervix carcinoma       57-73%1       75-91%    83-100%1      92-100%

             Esophageal cancer      11-87%        30-78%    28-99%        86-98%
             1
              CT or MRI



MAESTRO
 Jan. 2007                                                                          Grégoire, 2004
Potential added-value of PET in oncology
      Comparison between PET and PET/CT for N staging (n=260)

                  Sensitivity (%)   Specificity (%)   PPV   NPV
       PET/CT           92                93          88    94
       PET+CT           88                89          83    92
       PET              85                88          82    90
       CT               64                83          70    79




MAESTRO
 Jan. 2007                                                   Antoch et al., 2004
Target




MAESTRO
 Jan. 2007    J. John, 1974
The Gross Tumor volume (GTV)




MAESTRO
 Jan. 2007                        Daisne et al., Radiology, 233: 93-100, 2004
The Gross Tumor volume (GTV)




MAESTRO
 Jan. 2007                                  Daisne et al, 2004
From PET image to tumor: a fixed threshold?
                             GTV (ml)
      Patient     Surgical    40%       50%
                 Specimen
             1      8.3       23.3      11.8   55.1
             2      5.2       10.9      6.7    55.7
             3     30.9       29.7      21.7   38.6
             4      4.1        8        5.3     57
             5      5.6       37.9      19.2   70.9
             6      8.6       9.7       6.6    43.2
             7     17.3       35.9      25.5    59
             8     15.4       41.8      28.3   67.5
             9     24.3       39.9       30    56.5

        mean       13.3       26.5*     17.2   55.9

MAESTRO
 Jan. 2007                                            Geets et al, 2006
Functional imaging and automatic
                      segmentation
  Volume delineation based on automatic thresholding with 18F-FDG




MAESTRO                                                  Daisne et al, 2003
 Jan. 2007                                               Geets et al, 2004
Imaging modalities, TVs and dose distribution




MAESTRO
 Jan. 2007
Image-Guided Radiation Therapy in HNSCC
                                          Impact of imaging modality on CTV/PTV delineation


                                          Larynx/hypopharynx (n=9)                                       Oropharynx (n=10)
                                    200
      Average (± sem) volume (cc)




                                            CT-scan                                                250   CT-scan




                                                                     Average (± sem) volume (cc)
                                            FDG-PET                                                      FDG-PET
                                    150                                                            200
                                               ANOVA: p<0.05                                                ANOVA: p<0.01
                                                                                                   150
                                    100
                                                                                                   100
                                    50
                                                                                                   50

                                     0                                                              0
                                            GTV        CTV     PTV                                       GTV        CTV      PTV

MAESTRO
 Jan. 2007                                                                                                                  Geets et al, 2003
Image-Guided Radiation Therapy in HNSCC

             Impact of imaging modality on dose distribution




MAESTRO
 Jan. 2007                                                Geets et al, 2006
Conformal radiotherapy and IMRT
                in Head and Neck Tumors




               DAHANCA: http://www.dshho.suite.dk/dahanca/guidelines.html
               EORTC: http://www.eortc.be/home/ Radio/EDUCATION.htm
MAESTRO        RTOG: http://www.rtog.org/hnatlas/main.htm
 Jan. 2007
CT-based delineation of lymph node levels in
         the neck: Brussels- Rotterdam consensus guidelines

                                              Level II
                                   Ant. submandibular gland
                                         post. belly of digastric m.
                                   Post. sternocleidomastoid m.
                           LII     Lat. sternocleidomastoid m.
                                   Med. paraspinal m.
                                         int. carotid artery
                              LV
                                   Cra. lateral process of C1
                                   Cau. hyoid bone

MAESTRO
 Jan. 2007
Imaging in radiotherapy:
                   … today and tomorrow …

             • Atlases
             • Adaptive Target Volume delineation
             • Non-rigid registration
             • Adaptive dose distribution
             • Other PET tracers


MAESTRO
 Jan. 2007
H&N IMRT practice heterogeneity




         Atlases?
MAESTRO
 Jan. 2007                                     Harari et al., 2005
CT   MRI (T2)   FDG-PET



   PRE-R/


    (Week 2)




   WEEK 3


    (Week 4)




   WEEK 5

MAESTRO
 Jan. 2007
Biological adaptive IMRT
   Before R/       Week 1           Week 2    Week 3      Week 4         Week 5   Week 6   Week 7


             R/ start

                                    Images acquisitions
  CT                     MR T2 FS            MR T2             FDG-PET




                        Anatomic imaging                    Dynamic FDG-PET

    •    10 patients with stage III-IV pharyngo-laryngeal SCC treated by CT -RT
    •    Images acquired before R/ and during RT after means doses of 14, 25, 35
         and 45 Gy.

MAESTRO
 Jan. 2007                                                                                    Geets, 2006
PET image segmentation during RxTh


                               UG 4mm
   Raw image




                         SBR




                                 Image processing   Image segmentation




MAESTRO
 Jan. 2007                                                    Lee & Geets 2006
PET image segmentation during RxTh
                              UG 4mm




                        SBR
   Raw image




                               Image processing        Image segmentation

                              BG 6mm + deconvolution




                        W&C



MAESTRO
 Jan. 2007                                                          Lee & Geets 2006
PET image segmentation

                                                   Patient           Surgical          Threshold-         Gradient-based
                                                     No              specimen         based method           method
       Phantom images
                                                   1                    4.1                 8.7                  4.7
          Synthetic phantom images
                                                   2                    5.2                 7.4                  5.5
          Jaszczak phantom (6 spheres)            3                    5.6                16.3                  8.2
       Patient images                             4                   15.4                37.2                 19.7

          Total laryngectomy                      5                   17.3                35.4                 25.3

           (surgical specimen is frozen,
                                  frozen,          6                   24.3                34.1                   25
           sliced,                                 7                   30.9                33.4                 27.8
           digitized, delineated, and registred)   mean                14.7               24.7*                16.6**

                                                       * in comparison with surgical specimens, p = 0.014 (Student’s t-test)
                                                       ** in comparison with surgical specimens, p = 0.19 (Student’s t-test)




MAESTRO
 Jan. 2007                                                                                             Lee & Geets 2006
Impact on TV delineation




                      P<0.001




MAESTRO
 Jan. 2007                              Geets, 2006
Impact on TV delineation
               Classic CT-based planning Adaptive PET-based planning




                                                                              P<0.001

   Planning                   V10       V50       V80       V90         V95    V100
   Classic CT-based          100%      100%      100%      100%        100%   100%
   Adaptive CT-based         99%       100%      100%       85%        80%     66%
   Classic PET-based         99%        99%      98%        83%        82%     81%
   Adaptive PET-based        99%       100%       98%       73%        67%     58%
MAESTRO
 Jan. 2007                                                                     Geets, 2006
Image registration…

    Reference
     image




      Rigid
   registration




    Non-rigid
   registration
MAESTRO                                 Loeckx & Maes
 Jan. 2007                               ESAT, 2004
Image registration…
             Week 0                         Week 3




                          30 Gy SIB




MAESTRO
 Jan. 2007                                     Parraga, Castadot & Lee, 2006
Image registration…

             Differential dysplay




MAESTRO
 Jan. 2007                                    Parraga, Castadot & Lee, 2006
Image registration…
             Week 3                    Week 3 on week 0



                         Non-rigid
                        Registration
                         (Samba)




MAESTRO
 Jan. 2007                                    Parraga, Castadot & Lee, 2006
Dose registration…



 Time 1 (t1)




                 Deformed checkerboard
                 showing the non- rigid                          Deformed dose at t1
               transformation from t1 to t2   Deformed contour       on CT at t2




 Time 2 (t2)



MAESTRO
 Jan. 2007                                                                   Lee, 2006
Other PET tracers…


             Hypoxia: 18F-EF3




                                                                 Metabolism: 18F-FDG
                                                                              11C-Met



                                           Proliferation: 76Br-BFU




MAESTRO
 Jan. 2007
From microscopy to PET images…




                     CT-scan                      MRI




                   µPET-scan         Autoradiography
MAESTRO
 Jan. 2007                                    N. Christian, 2006
Conclusions: future challenges …

             • Target Volume selection and delineation
             • Adaptive IMRT: geometrical, biological & dosimetrical
                •which imaging modalities??
                •which biological pathways??
                •which volume/dose registration algorithms??
                •how frequently??
             • Clinical validation

MAESTRO
 Jan. 2007
Acknowledgements
         • Communication and Remote Sensing Lab.   Alois du BOIS d’AISCHE, Eng.
                                                   Pierre-François d’HAESE, Eng.
                                                   Benoit MACQ,Eng., Ph.D.
         • ENT and Head & Neck surgery             Marc HAMOIR, M.D.
                                                   Philippe ROMBAUX, M.D.
         • Imaging                                 Emmanuel COCHE, M.D.
                                                   Thierry DUPREZ, M.D.
                                                   Max LONNEUX, M.D.
         • Oral & Maxillo-Facial surgery           Pierre MAHY, M.D.
                                                   Hervé REYCHLER, M.D., D.M.D.
         • Pathology                               Birgit WEYNAND, M.D.
         • PET laboratory                          Anne BOL, Ph.D.
                                                   Daniel LABARE, Ph.D.
         • Radiation Oncology                      Nicholas CHRISTIAN, M.D.
                                                   Jean-François DAISNE, M.D., Ph.D.
                                                   Xavier GEETS, M.D.
                                                   John LEE, eng., Ph.D.
                                                   Pierre SCALLIET, M.D., Ph.D.
MAESTRO
 Jan. 2007                                         Milan TOMSEJ, M. Sc.
Acknowledgements




             • KULeuven, Radiation Oncology   Karin HAUSTERMANS, M.D., Ph.D.
                                              Sarah ROELS, M.D.
                                              Tom DEPUYDT, Ph.D.
                                              Pieter SLAGMOLEN, Eng.
             • KULeuven, ESAT                 Frederic MAES, Eng., Ph.D
                                              Frederic LOECKX, Eng.




MAESTRO
 Jan. 2007
Target selection and delineation

                               Betrayal of images

                                This is not an
                                apple…
                                          R. Magritte




MAESTRO
 Jan. 2007
MAESTRO
 Jan. 2007   R. Wouters, 1915
Image-Guided Radiation Therapy in HNSCC
             Impact of imaging modality on dose distribution
              CT-based target volume   FDG PET-based target volume




MAESTRO
 Jan. 2007
IMRT in Head and Neck Tumors




                           Left parotid                          Hypopharyngeal SCC
                                                          PTVs
                                                                 T4-N0-M0
                                                                 Dose: 25 x 1.8 Gy bid
             Spinal cord                  Right parotid



MAESTRO
 Jan. 2007
Watershed & Clustering segmentation
   1.Raw images         2.Image denoising          3.Image deblurring          4.TAC distances

                                 c/s                         c/s                     c/s
                                         Bil.                      PSF
      XYZ




                                                                                           D

             T                               XYZ                         XYZ                     T


                                       Image improvement                       5.Watersheds

                                                                                 D




                                                                                                     XYZ


   9.Segmented images   8.Cluster Analysis         7.TAC distances             6.Wat.sh. mean TACs
                                                                                       c/s
                                                       c/s
      XYZ




                                                               D                                     T

              T                                                      T
MAESTRO
 Jan. 2007
Image-Guided Radiation Therapy in HNSCC
                       The 4th dimension …
                            FDG-PET


  0 Gy




  50 Gy


MAESTRO
 Jan. 2007                                         Geets et al, 2003
Bayesian terminology for diagnostic imaging studies
                                   Disease status
                                    “-”      “+”
                      Test   “-”     TN          FN                NPV = TN/TN+FN

                             “+”     FP          TP                PPV = TP/TP+FP


                                                 Sensitivity = TP/TP+FN
                                     Specificity = TN/TN+FP
                      Disease                                         Disease
                     “-”   “+”                                        “-”   “+”

               “-”   48      2       NPV = 96%                    “-”   25    25      NPV = 50%
        Test




               “+”   20      30      PPV = 60%             Test   “+”    4    46      PPV = 92%

                     Sensitivity = 94%                                  Sensitivity = 65%
MAESTRO              Specificity = 70%                                  Specificity = 86%
 Jan. 2007
From microscopy to PET images…

                   Mean minimal distance    Mean angle (°)
                   between two skew lines


       MR-CT:         0.21 0.06 mm          2.23 0.31
       PET-CT:        0.23 0.11 mm          2.52 0.74
       PET-MR:        0.28 0.07 mm          2.47 0.46
       PET-AR:        0.18 0.04 mm          3.53 0.39


MAESTRO
 Jan. 2007                                           N. Christian, 2006
Work in progress: other tracers…
                        PET-FLT

     FLT                                  ?




     FDG




                0 Gy       20 Gy   Before surgery
MAESTRO
 Jan. 2007                                         Lee & et al,
                                              HaustermansGeets 2006
Gradient Intensity Image
                                   Image saturation (window level)
             Raw image
             Grad. Int. image




MAESTRO                            Boundaries do not move!           Lee & Geets 2006
 Jan. 2007

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Pet And Radiotherapy For Head And Neck

  • 1. PET and Radiotherapy for Head and Neck Cancer: today and tomorrow… Vincent GREGOIRE, M.D., Ph.D. Head and Neck Oncology Program, Radiation Oncology Dept., & Center for Molecular Imaging and Experimental Radiotherapy, Université Catholique de Louvain, St-Luc University Hospital, Brussels, Belgium MAESTRO Jan. 2007
  • 2. Potential added-value of PET in oncology S / RxTh / CH Work-up-staging prognostic evaluation GTV/CTV Selection/delineation Functional Image-guided IMRT Early response FDG evaluation C-methionine EF3 - F-miso - CuATSM Final response BFU - FLT evaluation … Early detection of recurrence MAESTRO Jan. 2007
  • 3. Imaging in radiotherapy: … today and tomorrow … • Selection of Target Volumes with FDG-PET • Delineation of GTV with FDG-PET • Selection / delineation of CTV MAESTRO Jan. 2007
  • 4. The use of FDG-PET for the selection of Target Volume: setting the scene Laryngeal SCC: T2-N1-M0 Q: unilateral vs bilateral neck irradiation? A: highly sensitive examination MAESTRO Jan. 2007
  • 5. Detection of metastatic disease in the neck • N=106 patients • oral cavity tumors • Neck dissection for all patients (2196 lymph nodes) Sensitivity Specificity Accuracy NPV PPV PET 70% 82% 75% 71% 81% CT 66% 69% 70% 66% 74% MRI 64% 69% 66% 62% 71% US 84% 68% 76% 79% 75% MAESTRO Jan. 2007 Stuckensen et al., 2000
  • 6. Potential added-value of PET in oncology Comparison between CT and FDG-PET for nodal staging. Site Sensitivity Specificity CT FDG-PET CT FDG-PET Head and neck cancer 36-86% 50-96% 56-100% 88-100% NSC lung cancer 45% 80-90% 85% 85-100% Cervix carcinoma 57-73%1 75-91% 83-100%1 92-100% Esophageal cancer 11-87% 30-78% 28-99% 86-98% 1 CT or MRI MAESTRO Jan. 2007 Grégoire, 2004
  • 7. Potential added-value of PET in oncology Comparison between PET and PET/CT for N staging (n=260) Sensitivity (%) Specificity (%) PPV NPV PET/CT 92 93 88 94 PET+CT 88 89 83 92 PET 85 88 82 90 CT 64 83 70 79 MAESTRO Jan. 2007 Antoch et al., 2004
  • 8. Target MAESTRO Jan. 2007 J. John, 1974
  • 9. The Gross Tumor volume (GTV) MAESTRO Jan. 2007 Daisne et al., Radiology, 233: 93-100, 2004
  • 10. The Gross Tumor volume (GTV) MAESTRO Jan. 2007 Daisne et al, 2004
  • 11. From PET image to tumor: a fixed threshold? GTV (ml) Patient Surgical 40% 50% Specimen 1 8.3 23.3 11.8 55.1 2 5.2 10.9 6.7 55.7 3 30.9 29.7 21.7 38.6 4 4.1 8 5.3 57 5 5.6 37.9 19.2 70.9 6 8.6 9.7 6.6 43.2 7 17.3 35.9 25.5 59 8 15.4 41.8 28.3 67.5 9 24.3 39.9 30 56.5 mean 13.3 26.5* 17.2 55.9 MAESTRO Jan. 2007 Geets et al, 2006
  • 12. Functional imaging and automatic segmentation Volume delineation based on automatic thresholding with 18F-FDG MAESTRO Daisne et al, 2003 Jan. 2007 Geets et al, 2004
  • 13. Imaging modalities, TVs and dose distribution MAESTRO Jan. 2007
  • 14. Image-Guided Radiation Therapy in HNSCC Impact of imaging modality on CTV/PTV delineation Larynx/hypopharynx (n=9) Oropharynx (n=10) 200 Average (± sem) volume (cc) CT-scan 250 CT-scan Average (± sem) volume (cc) FDG-PET FDG-PET 150 200 ANOVA: p<0.05 ANOVA: p<0.01 150 100 100 50 50 0 0 GTV CTV PTV GTV CTV PTV MAESTRO Jan. 2007 Geets et al, 2003
  • 15. Image-Guided Radiation Therapy in HNSCC Impact of imaging modality on dose distribution MAESTRO Jan. 2007 Geets et al, 2006
  • 16. Conformal radiotherapy and IMRT in Head and Neck Tumors DAHANCA: http://www.dshho.suite.dk/dahanca/guidelines.html EORTC: http://www.eortc.be/home/ Radio/EDUCATION.htm MAESTRO RTOG: http://www.rtog.org/hnatlas/main.htm Jan. 2007
  • 17. CT-based delineation of lymph node levels in the neck: Brussels- Rotterdam consensus guidelines Level II Ant. submandibular gland post. belly of digastric m. Post. sternocleidomastoid m. LII Lat. sternocleidomastoid m. Med. paraspinal m. int. carotid artery LV Cra. lateral process of C1 Cau. hyoid bone MAESTRO Jan. 2007
  • 18. Imaging in radiotherapy: … today and tomorrow … • Atlases • Adaptive Target Volume delineation • Non-rigid registration • Adaptive dose distribution • Other PET tracers MAESTRO Jan. 2007
  • 19. H&N IMRT practice heterogeneity Atlases? MAESTRO Jan. 2007 Harari et al., 2005
  • 20. CT MRI (T2) FDG-PET PRE-R/ (Week 2) WEEK 3 (Week 4) WEEK 5 MAESTRO Jan. 2007
  • 21. Biological adaptive IMRT Before R/ Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 R/ start Images acquisitions CT MR T2 FS MR T2 FDG-PET Anatomic imaging Dynamic FDG-PET • 10 patients with stage III-IV pharyngo-laryngeal SCC treated by CT -RT • Images acquired before R/ and during RT after means doses of 14, 25, 35 and 45 Gy. MAESTRO Jan. 2007 Geets, 2006
  • 22. PET image segmentation during RxTh UG 4mm Raw image SBR Image processing Image segmentation MAESTRO Jan. 2007 Lee & Geets 2006
  • 23. PET image segmentation during RxTh UG 4mm SBR Raw image Image processing Image segmentation BG 6mm + deconvolution W&C MAESTRO Jan. 2007 Lee & Geets 2006
  • 24. PET image segmentation Patient Surgical Threshold- Gradient-based No specimen based method method  Phantom images 1 4.1 8.7 4.7  Synthetic phantom images 2 5.2 7.4 5.5  Jaszczak phantom (6 spheres) 3 5.6 16.3 8.2  Patient images 4 15.4 37.2 19.7  Total laryngectomy 5 17.3 35.4 25.3 (surgical specimen is frozen, frozen, 6 24.3 34.1 25 sliced, 7 30.9 33.4 27.8 digitized, delineated, and registred) mean 14.7 24.7* 16.6** * in comparison with surgical specimens, p = 0.014 (Student’s t-test) ** in comparison with surgical specimens, p = 0.19 (Student’s t-test) MAESTRO Jan. 2007 Lee & Geets 2006
  • 25. Impact on TV delineation P<0.001 MAESTRO Jan. 2007 Geets, 2006
  • 26. Impact on TV delineation Classic CT-based planning Adaptive PET-based planning P<0.001 Planning V10 V50 V80 V90 V95 V100 Classic CT-based 100% 100% 100% 100% 100% 100% Adaptive CT-based 99% 100% 100% 85% 80% 66% Classic PET-based 99% 99% 98% 83% 82% 81% Adaptive PET-based 99% 100% 98% 73% 67% 58% MAESTRO Jan. 2007 Geets, 2006
  • 27. Image registration… Reference image Rigid registration Non-rigid registration MAESTRO Loeckx & Maes Jan. 2007 ESAT, 2004
  • 28. Image registration… Week 0 Week 3 30 Gy SIB MAESTRO Jan. 2007 Parraga, Castadot & Lee, 2006
  • 29. Image registration… Differential dysplay MAESTRO Jan. 2007 Parraga, Castadot & Lee, 2006
  • 30. Image registration… Week 3 Week 3 on week 0 Non-rigid Registration (Samba) MAESTRO Jan. 2007 Parraga, Castadot & Lee, 2006
  • 31. Dose registration… Time 1 (t1) Deformed checkerboard showing the non- rigid Deformed dose at t1 transformation from t1 to t2 Deformed contour on CT at t2 Time 2 (t2) MAESTRO Jan. 2007 Lee, 2006
  • 32. Other PET tracers… Hypoxia: 18F-EF3 Metabolism: 18F-FDG 11C-Met Proliferation: 76Br-BFU MAESTRO Jan. 2007
  • 33. From microscopy to PET images… CT-scan MRI µPET-scan Autoradiography MAESTRO Jan. 2007 N. Christian, 2006
  • 34. Conclusions: future challenges … • Target Volume selection and delineation • Adaptive IMRT: geometrical, biological & dosimetrical •which imaging modalities?? •which biological pathways?? •which volume/dose registration algorithms?? •how frequently?? • Clinical validation MAESTRO Jan. 2007
  • 35. Acknowledgements • Communication and Remote Sensing Lab. Alois du BOIS d’AISCHE, Eng. Pierre-François d’HAESE, Eng. Benoit MACQ,Eng., Ph.D. • ENT and Head & Neck surgery Marc HAMOIR, M.D. Philippe ROMBAUX, M.D. • Imaging Emmanuel COCHE, M.D. Thierry DUPREZ, M.D. Max LONNEUX, M.D. • Oral & Maxillo-Facial surgery Pierre MAHY, M.D. Hervé REYCHLER, M.D., D.M.D. • Pathology Birgit WEYNAND, M.D. • PET laboratory Anne BOL, Ph.D. Daniel LABARE, Ph.D. • Radiation Oncology Nicholas CHRISTIAN, M.D. Jean-François DAISNE, M.D., Ph.D. Xavier GEETS, M.D. John LEE, eng., Ph.D. Pierre SCALLIET, M.D., Ph.D. MAESTRO Jan. 2007 Milan TOMSEJ, M. Sc.
  • 36. Acknowledgements • KULeuven, Radiation Oncology Karin HAUSTERMANS, M.D., Ph.D. Sarah ROELS, M.D. Tom DEPUYDT, Ph.D. Pieter SLAGMOLEN, Eng. • KULeuven, ESAT Frederic MAES, Eng., Ph.D Frederic LOECKX, Eng. MAESTRO Jan. 2007
  • 37. Target selection and delineation Betrayal of images This is not an apple… R. Magritte MAESTRO Jan. 2007
  • 38. MAESTRO Jan. 2007 R. Wouters, 1915
  • 39. Image-Guided Radiation Therapy in HNSCC Impact of imaging modality on dose distribution CT-based target volume FDG PET-based target volume MAESTRO Jan. 2007
  • 40. IMRT in Head and Neck Tumors Left parotid Hypopharyngeal SCC PTVs T4-N0-M0 Dose: 25 x 1.8 Gy bid Spinal cord Right parotid MAESTRO Jan. 2007
  • 41. Watershed & Clustering segmentation 1.Raw images 2.Image denoising 3.Image deblurring 4.TAC distances c/s c/s c/s Bil. PSF XYZ D T XYZ XYZ T Image improvement 5.Watersheds D XYZ 9.Segmented images 8.Cluster Analysis 7.TAC distances 6.Wat.sh. mean TACs c/s c/s XYZ D T T T MAESTRO Jan. 2007
  • 42. Image-Guided Radiation Therapy in HNSCC The 4th dimension … FDG-PET 0 Gy 50 Gy MAESTRO Jan. 2007 Geets et al, 2003
  • 43. Bayesian terminology for diagnostic imaging studies Disease status “-” “+” Test “-” TN FN NPV = TN/TN+FN “+” FP TP PPV = TP/TP+FP Sensitivity = TP/TP+FN Specificity = TN/TN+FP Disease Disease “-” “+” “-” “+” “-” 48 2 NPV = 96% “-” 25 25 NPV = 50% Test “+” 20 30 PPV = 60% Test “+” 4 46 PPV = 92% Sensitivity = 94% Sensitivity = 65% MAESTRO Specificity = 70% Specificity = 86% Jan. 2007
  • 44. From microscopy to PET images… Mean minimal distance Mean angle (°) between two skew lines MR-CT: 0.21 0.06 mm 2.23 0.31 PET-CT: 0.23 0.11 mm 2.52 0.74 PET-MR: 0.28 0.07 mm 2.47 0.46 PET-AR: 0.18 0.04 mm 3.53 0.39 MAESTRO Jan. 2007 N. Christian, 2006
  • 45. Work in progress: other tracers… PET-FLT FLT ? FDG 0 Gy 20 Gy Before surgery MAESTRO Jan. 2007 Lee & et al, HaustermansGeets 2006
  • 46. Gradient Intensity Image Image saturation (window level) Raw image Grad. Int. image MAESTRO Boundaries do not move! Lee & Geets 2006 Jan. 2007