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Dynamic CT imaging (DCE-CT) in the anti-angiogenic response in Metastatic Renal Cell Carcinoma
Prof. C A Cuenod , L Fournier, G Frija Laboratoire de Recherche en Imagerie, Université Paris R Descartes. Radiology, Hôpital Européen Georges Pompidou, Paris ESUR Munich 2008
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Tumour angiogenesis is a major topic in oncology
1971 Judah Folkman New England Journal of Medecine
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Tumour neo-angiogenesis
« Under the stimuli of malignant cells, the endothelial cells build a complete new network of capillaries » R Jain
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Tumor angiogenesis Growth Factors Angiogenesis EGF IGF-1 PDGF IL-8
bFGF Hypoxia COX-2 NO Oncogenes VEGF release Binding and activation of VEGF receptor H2O2 Proliferation Survival Migration Angiogenesis Permeability Increased expression (MMP, tPA, uPA, uPAr, eNOS, etc.) – P P– Growth Factors Folkman. NEJM 1971;285:
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Anti-angiogenic treatment Avastin Sorafenib RAD001 Sorafenib / Nexavar
Endothelial Cell membrane Sunitinib /Sutent Sorafenib Anti-angiogenic treatment RAD001 Patel Br J Cancer 2006
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Surrogate markers reflecting treatment efficacy
Reference = tumour size RECIST = Response Evaluation Criteria in Solid Tumors Therasse P. et al, J Natl Cancer Inst 2000;92:205-16 Functional imaging = measuring tumour vascularisation, target of anti-angiogenic drugs
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RECIST = Response Evaluation Criteria in Solid Tumors
Therasse P. et al, J Natl Cancer Inst 2000;92:205-16 Measuring (and adding) the longest diameters in targets
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Lésions non cibles Nouvelles lésions Réponse Stabilité Progression
Lésions cibles 10 mm Lésions non cibles Nouvelles lésions Réponse 30% de la taille des lésions cibles Stabilité Progression 20% de la taille des lésions cibles OU des lésions non cibles OU nouvelle lésion
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+20% -30% % variation of the sum Progressive disease PD
Stable Disease SD Partial Response PR -30% Treatment cycles BASELINE 1 2 3 4 5
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+20% +20% -30% % variation of the sum Progressive disease PD
Time to progression Treatment cycles 1 2 3 4 5
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under anti-angiogenic treatment vs. placebo
Size variation in RCC under anti-angiogenic treatment vs. placebo Groupe placebo Placebo Treatment Groupe sous traitement
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Functional evaluation
DCE-Imaging Functional evaluation
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precontrast 90 s postcontrast
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Regions of interest (ROIs) over time
1 2 3 4 1 2 3 4
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Patients Patients: Metastatic RCC April 2004-May 2006
Clinical trials: Sorafenib / Nexavar® vs. placebo Sunitinib / Sutent® vs. interferon
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Acquisition 1- First exam before IV (low dose) (for target selection) => Functional target selection 2 - Dynamic Acquisition low dose: 80 mL contrast = 3x30s-breathholds, 1 image/s for 90 s 3 - ‘Standard’ whole-body acquisition (+40mL) Total injection 120 mL (Xenetix®, 350 mg I/mL) 80kV Radiation dose supplement 200/2000 mGy/cm
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Choice of functional target
Size > 2 cm Minimal movements Retroperitoneum > mediastinum > lung Not liver or bone (medullary)
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Results
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ARTERY (Arterial Input Function)
Tissue response
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Main microvascular parameters
Fractional intersitial volume (%) Regional blood perfusion (ml/min/100ml) Fractional Blood volume (%) OUT IN Permeability x surface (ml/min/100ml) Dependent on tracer
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Main microvascular parameters
OUT FT (ml/min/100ml) BV (%) PS Dependent on tracer Ve (%) Mean Transit time TTM= VB/FT
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Modélisation Analyse compartimentale Interstitium q inter 3 Artere
k(3,2) k(2,3) k(2,1) Artere q artere 1 Capillaire Q cap 2 A l’inverse des déscriptions “simplifiées” phénoménologiques, Les modélisations mathématiques permettent d’obtenir des paramètres quantitatifs “reproductibles” et comparables MAIS nécessite des données de grande qualité, des logiciels de traitement … pas encore standardisé k(0,2) q Tumeur
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Can we detect an effect on tumour vessels after a single cycle of treatment by anti-angiogenic drugs?
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Variable* (%) Placebo N=8 Interferon N=5 Anti-angiogenic N=25 Tissue Blood flow (ml/min/100ml) -22.9 [-27.3; -5.7 -6.1 [-18.8; 0.8] -50 [-72;-3] Tissue Blood volume (%) -4.2 [-22.0; 5.6] 2.0 [-5.5; 18.0] -51 [-67;-24] Mean transit time (s) 17.0 [7.4; 28.5] -2.4 [-10.2; 16.6] 5 [-22;73] Permeability surface area product (mL/min/100ml) -29.2 [-47.4;-14.5] 16.4 [-11.9;20.9] -34* [-83 ; 8] Sum of longest diameters (mm) 5.5 [-1.0; 11.8] -3.8 [-16.5; -0.7] -17 [-29.0; -7.0] * Significant for Nexavar, not Sutent
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Variable* (%) Placebo N=8 Interferon N=5 Anti-angiogenic N=25 Blood flow (ml/min/100ml) -22.9 [-27.3; -5.7 -6.1 [-18.8; 0.8] -50 [-72;-3] Blood volume (%) -4.2 [-22.0; 5.6] 2.0 [-5.5; 18.0] -51 [-67;-24] Mean transit time (s) 17.0 [7.4; 28.5] -2.4 [-10.2; 16.6] 5 [-22;73] Permeability surface area product (mL/min/100ml) -29.2 [-47.4;-14.5] 16.4 [-11.9;20.9] -34 [-83 ; 8] Sum of longest diameters (mm) 5.5 [-1.0; 11.8] -3.8 [-16.5; -0.7] -17 [-29.0; -7.0]
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RCC metastasis under anti-angiogenic therapy: Good responder
01/12/04 BF : 130 Patient porteur de métastase surrénalienne de K du rein. Bon répondeur sous SUTENT. Chute de la perfusion (BF) SANS modification de taille 16/06/05 BF : 18
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RCC metastasis under anti-angiogenic therapy: Poor responder
03/01/05 BF : 250 Patient porteur de métastase surrénalienne de K du rein. NON répondeur sous SUTENT. Pas de modification de de la perfusion (BF) ni modification de taille 12/04/05 BF : 230
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DCE-CT vs morphology Blood Flow maps Size variation (%) Baseline
Cycle 1 – 6 weeks Cycle 4 – 30 weeks 05/05 1 2 3 4 5 -40 -35 -30 -25 -20 -15 -10 -5 Size variation (%) Patient porteur de métastase de K du rein. Rapidement bon répondeur sous SUTENT. Chute de la perfusion PUIS échappement avec ré-ascenssion de la perfusion avec de minimes modificatin modification de taille (qui sont retardées).
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Can baseline parameters as measured by functional imaging predict future tumour response?
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Variable (%) Response N=10 Stable N=20 Progression N=2 P (S vs. R) Blood flow (mL/min/100ml) 245.3 [130.3; 453.5] 119.5 [74.1; 224.3] 190.5 [162.5; 218.5] 0.04 Blood volume (mL/min/100ml) 15.5 [9.0; 24.5] 8.2 [5.6; 14.9] 9.6 [9.2; 10.1] 0.02 Mean transit time (s) 5.6 [3.5; 9.5] 9.0 [5.0; 13.6] 5.4 [5.1; 5.7] 0.07 Surface permeability product (mL/min/100ml) 9.9 [9.1; 21.1] 7.3 [6.0; 13.2] [8.7; 9.3] 0.12 Sum of longest diameters (mm) 104.0 [76.0 ; 252.0] 155.0 [91.0 ; 198.5] 73.0 [50.0 ; 96.0] 0.18
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Limits – clinical study
Difficulties 50% of patient data incomplete or data analysis failed 102 patients in clinical trial 51 patients successful DCE-CT
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DCE analysis failed CT not injected (allergy, kidney failure) (N = 5, 10%) CT not performed at our institution (N = 23, 45%) Baseline perfusion acquisition not performed (N = 10, 18%) Failure of modeling: movement, SNR (N = 13, 23%)
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AIF
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Limits – clinical study
Inter-investigator reproducibility 2 investigators
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Blood flow – investigator #2
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PS – investigator #2 R = 0.45 R² = 0.20 PS – investigator #1
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Clinical study: conclusions
DCE-CT can be used in a clinical context Difficulties to implement the technique • organisation +++ • motion (lung metastases)
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IRM vs CT
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Critères dynamiques Profil « malignité » ….. « bénignité »
Kuhl Eur. Radiol.2000;10:46-58 57% des K % des K % des K 5% des L.Bénignes % des LB % des LB Kuhl Eur. Radiol.2000;10:46-58
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Remarques techniques
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Correction des mouvements respiratoires
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Arterial input function
• True individual AIF • Mean AIF • Synthetic AIF 44
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Slope Peak is missed Steady state 1 image/ 10 sec 1 image / 1 min
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Tumor treatment Tumor volume Hours/Days function Weeks
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