Multiparametric imaging in oncology - Congressi AIRO...• Different but not exclusive concepts. •...
Transcript of Multiparametric imaging in oncology - Congressi AIRO...• Different but not exclusive concepts. •...
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Multiparametric imaging in
oncology
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Marco Ravanelli
Roberto Maroldi
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• The goal of traditional imaging is high spatial andcontrast resolution � diagnosis, tumor extent �treatment planning, surgery.
• When a non-surgical treatment is planned, otherquestions raise: will it work? Which is the besttreatment option?
• Traditional imaging is not able to provideadequate answers. Multiparametric imagingconstitutes an attempt to respond these questions,especially.
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Multimodal vs multiparametric
1) Multimodal: combine different imaging techniques to
work out uncertain findings
From screening to tumor diagnosis; recurrenceidentification
2) Multiparametric: combine information about tumor to
understand more about it.
a) quantitative
b) the same information can be provided by different imaging techniques (i.e. blood flow pCT, pMR,CEUS,
PET).
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• Different but not exclusive concepts.
• Prostate imaging is an example of
intersection: multiparametric imaging addedto T2W imaging (central and transitional zone
cancer)
multimodalmultiparametric
Hoeks CM et al. Radiology 2011;261:46-66
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Cultural switch:
from image interpretation
to parameter interpretation;
develop multidimensional and
more abstract thinking
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Prediction/earlyassessment of
response to treatment
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Why function?
• angiogenesis, hypoxia � biologic characteristics �aggressiveness � prediction of disease controland/or � target-therapy;
•� towards individual-targeted therapy
FDG PET -metabolism
MISO PET -hypoxia
parametersmorphologymorphology functionfunction
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• Functional changes during treatment predictearlier than morphological changes the responseto treatment.
Thoeny H and Ross BD, J Magn Reson Imaging 2010; 32:2-16.
parametersmorphologymorphology functionfunction
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• Volume is not an indicator of response totreatment for cytostatic drugs (antiangiogenesis,metastatic renal cell cancer, GIST etc.) andother treatments (i.e. TACE)� inadequacy ofRECIST criteria.
parametersparametersmorphologymorphology functionfunction
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MRI
• Dynamic contrast enhanced (DCE MRI):angiogenesis. Tumor perfusion, vascularpermeability, extracellular space. Limitations:reproducibility.
• Dynamic susceptibility contrast (DSC MRI):perfusion. Blood flow, blood volume. Noinformation about permeability.
• Diffusion weighted (DWI MR): cellularity,
necrosis. Limitations: difficult reproducibility,artifacts.
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• Spectroscopy (MRS): metabolism, proliferation.Limitations: low spatial resolution, timedemanding, technically challenging.
• Blood oxygenation level dependent (BOLD MRI):tissue oxygenation. Limitations: reflects acutemore than chronic hypoxia, time and technicallydemanding, difficult post-processing.
MRI
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PET
• FDG PET: glucose metabolism.
• Labeled water PET: perfusion.
• Fluorothymidine PET: cellular proliferation.
• Fluoromisonidazole (MISO) PET: hypoxia.
• Iodine annexin V: apoptosis.
• Choline PET: cellular proliferation.
• Methoxyisobutyl-isonitrile PET: multidrug resistance.
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First… Biology
• The choice of imaging techniques is dictated bythe functional parameters needed to describe
biological characteristics of the tumor orexpected effects of specific therapies.
• The interpretation of imaging results is guided bythe knowledge of tumor’s (disregulated) biology.
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Carcinogenesis: hallmarks and metabolic reprogramming.
Padhani A R , Miles K A Radiology 2010;256:348-364©2010 by Radiological Society of North America
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The HIF-1 pathway example
• HIF-1 (hypoxia inducible factor) activates a
cascade of events that lead to hypoxia adaptation:• ? Metabolism: Warburg effect (? GLUT1 and hexokinase� ? glycolisis,
lactate production and extrusion, resistance to acid environment).
• ? Angiogenesis (via VEGF).
• ? Chemotherapy resistance (p-glycoprotein upregulation)
• HIF-1 can be actually induced by hypoxia (RT resistance)
or constitutionally up-regulated (p53 mutation)
• HIF activation by hypoxia > HIF activation by genemutation
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Naming and filling the cube
oxygenation
perfu
sion
me
tabo
lism
perfusion
pCTpMR
waterPET
CEUS
oxygenation
MISO PET
BOLD-MRI
metabolism
FDG PET
H, C MRS
BOLD MRI
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• Mismatch between perfusion (low) andmetabolism (high)�poor prognosis
Prediction of treatment response
Padhani A R , Miles K A Radiology 2010;256:348-364;Mankoff et al. Clin Cancer Res 2009; 43:500-509.
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Trying to understand
the mixed correlationsat the patient level.
� Need to match the
individual results with
the individual biologyand/or the response to
treatment
Prediction of treatment response
Rajendran et al Clin Cancer Res 2004; 10:2245-52.
To correlate or not to correlate? – The patient level
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To correlate or not to correlate? – The voxel level and the
tumor heterogeneity.
Trying to understand the correlations at the voxel level.
� Need to match the results with the biological heterogeneity within the
tumor and/or the response to treatment.
Prediction of treatment response
Thorwarth et al. Radiother and Oncol 2006; 80:151-156.
Scatter width (σ) correlates with outcome (local relapse + or -) in head and neckcancers.
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Advanced breast cancer – PET, 37 patients
Prediction of treatment response
Mankoff et al J Nucl Med 2002; 43:500-9.
↑metabolism/flow
↓metabolism/flow
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CT Perfusion CT
FDG PET
Metabolism/perfusion rate
Padhani A R , Miles K A Radiology 2010;256:348-364.
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Early assessment during therapy
• Adding two variables: treatment effects
and time � complexity increase
• Numerous studies about single functional
techniques. Very few studies about
multiparametric imaging.
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Vascular normalization index (VNI) unifies in a single parameter: ∆Ktrans,∆CBV, ∆Coll-IV.
It well predicted FPS and OS in glioblastoma multiforme after a single dose ofanti-VEGFR.
Sorensen AG et al. Cancer Res 2009;69:5296-300.
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• Multiparametric imaging is already future
• Need of multicentric prospective studies.
• Need of technical standardization (MRI)
• Need of new-concept informatic platforms
to analyse, visualize and interpolate
functional data.
Future: when and how
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Thank you (be)