IMRT for Head and Neck Tumors This house believes that the ...
Transcript of IMRT for Head and Neck Tumors This house believes that the ...
AAPM
Aug. 2011
This house believes that the use of
Functional Imaging for treatment
planning of head and neck tumors
needs to be carefully considered.
Vincent GREGOIRE, M.D., Ph.D., Hon.
FRCR
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 AAPM
Aug. 2011
Oropharyngeal SCC
T2-N0-M0
SIB-IMRT: 30x2.3 Gy
30x1.85 Gy
PRV Spinal cord
Left parotidRight parotid
Larynx
PTV 55.5 Gy
PTV 69 Gy
IMRT for Head and Neck Tumors
AAPM
Aug. 2011
This house believes that …
• RO will be (even more) multidisciplinary…
• RO is conformal (e.g. IMRT, proton, hadrons)…
• RO will be tailored (individualized) (based on imaging
and molecular profiling) and adaptive …
• RO will be associated with targeted agents …
AAPM
Aug. 2011
Heterogeneity in H&N TV
delineation
Harari et al., 2004
AAPM
Aug. 2011
Betrayal of
imagesThis is not an
apple…
R. Magritte
Target selection and delineation
AAPM
Aug. 2011
Segmentation methods: one by
lab…!
Histogram-based
Fixed threshold (SUV, %)
Adaptive threshold (SBR)
Soft thresholding (probabilistic)
Manual delineation
Visual interpretation
Subjective approach!
Feature-based
(Fuzzy) clustering
Clustering of TAC
Image-based
Probabilistic modeling
Gradient based NO CONSENSUS∆ Experimental conditions
∆ Data sets
∆ Validation studies
Visual rendering
Complex model – unrecoverable target
AAPM
Aug. 2011 Schinagl et al., 2007
Variability in PET image segmentation
for H&N tumors …
AAPM
Aug. 2011
5 c
m5 c
m5 c
m
18F-FDGPET
CAT Scan
Macroscopy
Daisne et al, 2003
AAPM
Aug. 2011
From PET image to tumor: a fixed
threshold?
55.917.226.5*13.3mean
56.53039.924.39
67.528.341.815.48
5925.535.917.37
43.26.69.78.66
70.919.237.95.65
575.384.14
38.621.729.730.93
55.76.710.95.22
55.111.823.38.31
50%40%SurgicalSpecimen
Patient
GTV (ml)
Geets et al, 2006AAPM
Aug. 2011 Geets et al, 2003
0 Gy
50 Gy
FDG-PET
Image-Guided Radiation Therapy in HNSCC The 4th dimension …
AAPM
Aug. 2011
Raw
im
ag
e
Image processing Image segmentation
SBR
W&C
UG 4mm
BG 6mm + deconvolution
PET image segmentation during
RxTh
J. Lee & X. Geets, 2005AAPM
Aug. 2011
NSCLC with atelectasis
Pathological correlation? Clinical validation?
Deruysscher, 2007
PET in radiotherapy planning for NSCLC
AAPM
Aug. 2011 Werner-Wasik et al., 2011
NSCLC digital MC PET phantom
Different segmentation methods …
AAPM
Aug. 2011
PET in radiotherapy planning for NSCLC
Wanet et al., Radioth. Oncol. 2011
AAPM
Aug. 2011
PET in radiotherapy planning for NSCLC
Wanet et al., Radioth. Oncol. 2011AAPM
Aug. 2011
Objective evaluation of the available
segmentation methods
Pathology validated patient images
Imag
es
Meth
ods
Fig
ure
s o
f m
eri
t
Gradient detection
Accuracy
Reproducibility/robustness
AAPM TG211, 2011
Simulated PET images (MC)
Statistical methods
Precision
Shape/volume
+ =+
Scanner model
3D phantom
NCAT
Zubal
3D tumor model
Clinical image used as an exampleand associated segmentation
NURBS surface
Simulated 3D PET
AAPM
Aug. 2011
PET imaging: a wide range of
molecular probes
• Glucose metabolism18F-FDG
• Protein synthesis11C-MET
18F-FET
• Proliferation18F-FLT
• Hypoxia18F-FMISO
18F-FAZA
• Receptors18F-FES
68GA-Traztuzumab (HER2)
64Cu-DOTA-panitumumab (EGFR)
Courtesy of Geets, 2011AAPM
Aug. 2011
proliferation
hypoxia
perfusion
A word of caution …
From Kaanders., 2001
5 µm
AAPM
Aug. 2011
[18F]-FDG TEP Registered
autoradiography
Résolution 2.3 mm Résolution 0.1 mm
N. Christian, 2010
Biological heterogeneity
AAPM
Aug. 2011
AR 100 µm
Effect of resolution
1,5 mm
2,0 mm
2,5 mm 2,7 mm
3,0 mm
3,5 mm
N. Christian, 2010
AAPM
Aug. 2011
SiHa UT-SCC-33
In Vivo experimental set-up
PET-tracer, Hoechst
PimonidazoleTumor
sectioning
Autoradiography
(2-D distribution of FAZA)
Micro PET
Immuno-fluorescence
microscopy
(hypoxia, vessels, perfusion) Busk et al Acta Oncol, 2008;47:1201-1210
Busk et al IJRBOP 2008;70:1202-12AAPM
Aug. 2011
FAZA autoradiogram & pimonidazol
SiHa SCCVII
Busk et al Acta Oncol;, 2008;47:1201-1210Busk et al Acta Oncol, 2008;47:1201-1210
Busk et al IJRBOP 2008;70:1202-12
AAPM
Aug. 2011
Tumor: FSA II
Mouse n° 2_1
Tum Volume: 2.30 ml18F-FDG – 300 µCi
Volume corresponding to the
highest 10 percent of activity
PET Volume
AR Volume
Mismatch (/)
Scaling issue…
N. Christian, 2010AAPM
Aug. 2011
FSA II (n=5)
SCC VII (n=5)
FSA II + RT (n=5)
10 20 30 40 50 60 70 80 90 100
10
20
30
40
50
60
70
80
90
100
0
% of Overall Tumor Volume
Dic
e S
imila
rity
Index
(%)
Scaling issue…
N. Christian, 2007
AAPM
Aug. 2011
Mosaic PET
0.88
0.84
0.86
0.87
0.86
0.84
r ²
Effect of resolution
% vol
0.0 7.0 8.7 10.0 11.0 12.1 12.7 13.1 13.9 14.5 15.0
Mouse T ø
0.0 13.9 17.5 20.1 22.1 23.8 25.3 26.6 27.8 28.9 30.0
Human T ø
N. Christian, 2010AAPM
Aug. 2011
PET imaging: a wide range of
molecular probes
• Glucose metabolism18F-FDG
• Protein synthesis11C-MET
18F-FET
• Proliferation18F-FLT
• Hypoxia18F-FMISO
18F-FAZA
• Receptors18F-FES
68GA-Traztuzumab (HER2)
64Cu-DOTA-panitumumab (EGFR)
Courtesy of Geets, 2011
AAPM
Aug. 2011
Comparison 18F-FDG / 14C-EF3
N. Christian, 2010AAPM
Aug. 2011
Comparison 18F-FDG / 14C-EF3
Anova: p = 0.19
N. Christian, 2010
AAPM
Aug. 2011
Survival is non-flat
(higher in resistant areas)
Non-flat doseFlat dose
More similar survival
across entire tumor
Mean Tumor Dose = 2 Gy
Courtesy of D. De Ruysscher
“Dose painting” by number…
AAPM
Aug. 2011
“Dose painting” : the physics issue
AAPM
Aug. 2011
Molecular imaging dose painting by number
Deveau et al., 2010
• Tomotherapy Hi-Art
• H&N SCC:
T4N2bM0
• 60 Gy + SIB of 30
Gy
• Hypoxia (Cu-ATSM)
AAPM
Aug. 2011
Dose escalation protocol …
Duprez et al., 2010
• DPBN based on FDG-
PET
• Median dose of 80.9
Gy (n=7) et 85.9 Gy
(n=14)
• No grade 4 acute
toxicity
Molecular imaging dose painting by number
AAPM
Aug. 2011 C. Monet, 1874
The Bridge
at
Argenteuil
Functional imaging for H&N
treatment planning
• Great potential … but …
• Don’t trust your physician …
• Rely on user’s independent methods
…
• Be aware of the various conceptual
limitations …
• Never forget the clinical knowledge …
• At the end, the proof is in the pudding
…