EuroMedIm 2006 - Irène Buvat - May 2006 - 1 Quantification in emission tomography: challenges, solutions, performance and impact Irène Buvat U678 INSERM,

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Presentation transcript:

EuroMedIm Irène Buvat - May Quantification in emission tomography: challenges, solutions, performance and impact Irène Buvat U678 INSERM, Paris EuroMedIm 2006

EuroMedIm Irène Buvat - May What is quantification in emission tomography? Extracting physiologically meaningful values from PET or SPECT images SPECT image Density of dopaminergic transporters C kBq/ml

EuroMedIm Irène Buvat - May Why do we need quantification? Differential diagnosis Prognosis Therapeutic management Treatment monitoring Radiotherapy Physiological parameters are richer than visual assessment Supraglottic squamous cell carcinoma C11-TYR PETCT de Boer et al, J Nucl Med 2004 PSR: protein synthesis rate from C11-TYR PET Cumulative survival of patients with T1–T4 laryngeal carcinomas (n = 34) PSR < 2 (5y survival, 67%) PSR ≥ 2 (5y survival, 34%) Time (mo) Cumulative survival (%)

EuroMedIm Irène Buvat - May Is quantification easy? No Density of dopaminergic transporters C kBq/ml Radiotracer concentration ET image C kBq/ml Radiotracer concentration N C ≠ k’  Find  = g(C i, P n ) Find C=f(N) N ≠ k C

EuroMedIm Irène Buvat - May Deriving radiotracer concentration from ET images What should be accounted for patient motion photon attenuation photon scatter limited spatial resolution [randoms (PET)] [deadtime] tomographic reconstruction measurement procedure

EuroMedIm Irène Buvat - May Patient and organ motions Spurious or physiological (cardiac, respiratory) Reduce scan duration Gating (cardiac, respiratory, or both) and further processing no gating keeping one gate Li et al, Med Phys 2006: gating + combining gates Hot topic ! Increase of lesion size from 10% to 30% Lung FDG PET Decrease of SUV max from 5% to > 100% with respiratory motion without Nehmeh et al, J Nucl Med 2002:

EuroMedIm Irène Buvat - May Photon attenuation Attenuation introduces activity underestimation > 70% in SPECT and PET! 2. Pre or post correction, or model attenuation in reconstruction  p = R f Very efficient Fine tuning stage (motion, contrast medium, aso) no attenuation attenuated Tc99m cardiac SPECT 1. Measure tissue density (e.g., using a CT)

EuroMedIm Irène Buvat - May Photon scatter 20 to 50% of detected photons can be scattered (hence mislocated) in ET Decrease contrast Better : towards relocation of scattered events p = R f s Relocation under investigation (much less non zero elements in R s, out of the FOV activity) 20% projection scattered (37%) unscattered Tc99m cardiac SPECT Subtraction of scattered photons after modelling scatter distribution

EuroMedIm Irène Buvat - May Limited and non stationary spatial resolution severely affects structures < 3 FWHM in size max=100  = max<100 Partial volume effect in ET Definitely useful But all methods assume that functional contours same as anatomical contours Introduces non stationary partial volume effect d point source detector position FWHM In SPECT inverse of the RC Structure diameter (mm) RC -1 spatial resolution 12 mm infinite contrast Multiply measured values by a recovery coefficient Invert a cross-contamination matrix

EuroMedIm Irène Buvat - May Tomographic reconstruction Indirectly affects quantitation Control spatial resolution, so that partial volume effect can be predicted FBP, MLEM, OSEM, conjugate gradient ? Does that change quantitative accuracy? Boellaard et al, J Nucl Med 2001: Control noise level, which affects measurement variability Need for more systematic report on the spatial resolution / noise trade-off achieved by the reconstruction to determine quantitative accuracy

EuroMedIm Irène Buvat - May Measurement procedure Significant impact of VOI drawing Large room for improvement Need for optimization and standardization Hot topic : Definition of functional regions TNR moy TNR max TNR 50 TNR 75 In PET, therapeutic follow-up based on TNR sensitivity 1 - specificity Feuardent et al, SNM 2005 Empirical work so far Home-made approaches

EuroMedIm Irène Buvat - May How accurate can one be in SPECT? true no correction attenuation attenuation+scatter attenuation+ DD spatial resolution attenuation+scatter+DDSR + partial volume Brain SPECT of dopaminergic system (no motion) A bgd ApAp binding potential = ( A p - A bgd )/ A p putamenbackground restored activity (%) Soret et al, J Nucl Med 2003:

EuroMedIm Irène Buvat - May Need for accurate quantification in SPECT Brain SPECT of dopaminergic system -64% -58% Binding potentia (BP) estimate +15% +12% W/o PVE correction With PVE correction

EuroMedIm Irène Buvat - May Example: quantification in FDG-PET True tumor/bgd ratio = 8 Clinical conditions (CPET!) - 6 min acquisition - Cs137 transmission scan for attenuation correction - No PVE correction - mean count value in the tumor region Lung spheres diameter (in mm) Tumor/bgd ratio Different conditions Lung spheres diameter (in mm) PVE correction min acquisition CT att correction Max in tumor region Feuardent et al, IEEE Trans Nucl Sci 2006

EuroMedIm Irène Buvat - May nd step: deriving physiological parameters Density of dopaminergic transporters C kBq/ml Radiotracer concentration

EuroMedIm Irène Buvat - May General and appropriate approach Region-dependent physiological parameters e.g., glucose metabolic rate, blood flow, blood volume, mean transit time Fitting measurements to model Blood sampling Arterial input function Biochemical knowledge Model Dynamic image sequence Tracer kinetic in regions of interest

EuroMedIm Irène Buvat - May Practical trade-off Simplifying the whole procedure to achieve some reasonable trade- off between feasibility and index usefulness complexity Full compartmental modeling Physiological meaning Patlak SKA SUV Example of FDG-PET Glucose metabolic rate

EuroMedIm Irène Buvat - May Example of F18-FDG PET Tumor FDG (t) + unmetabolized FDG (t) ~ injected dose / dilution volume ~ injected dose / patient weight Tumor (t) – unmetabolized FDG K i = 0 t AIF(  )d  SUV = 0 t AIF(  )d  Glucose metabolic rate FDG made available to tumor = K i

EuroMedIm Irène Buvat - May Accuracy depends on complexity Chen et al, J Nucl Med 2004: SUV versus K i Quantitative accuracy depends on the relevance of the model used for physiological parameter estimates FDG-PET in accute lung injury

EuroMedIm Irène Buvat - May Conclusions Quantification is feasible in PET and SPECT Quantification is a complicated process, requiring tissue density map, perfectly controlled acquisition and processing protocols, high resolution anatomical information, accurate kinetic modeling Accurate quantification is easier in PET than in SPECT, just because attenuation correction is more accessible, and mostly because spatial resolution is better SPECT/CT and PET/CT scan could make quantification a clinical reality Partial volume effect and motion are currently the toughest effects to deal with

EuroMedIm Irène Buvat - May Conclusions Quantification accuracy highly depends on the acquisition and processing protocols, and should be characterized Meta-analyses are often impossible - or meaningless - given the variety and lack of information regarding acquisition and processing Comparing quantitative values (e.g. for therapeutic follow-up, malignancy indices) requires highly controlled protocols to ensure constant acquisition and processing conditions

EuroMedIm Irène Buvat - May Thank you for your attention Slides available on