This manuscript presents an investigation and application of the medical radiographic technique of Dynamic Contrast-enhanced Computed Tomography with an emphasis on its application to the measurement of tissue perfusion using the techniques of CT Perfusion. CT Perfusion was used in association with Fluoro- Deoxy Glucose Positron Emission Tomography (FDG PET) to investigate altered blood flow due to the angiogenic effects of tumour in the clinical setting of medical imaging for cancer diagnosis and staging. CT perfusion, CT enhancement and Doppler ultrasound studies were compared in a series of patient studies performed for the assessment of metastatic liver disease. There was good correlation between all techniques for the arterial phase but not between Doppler measurements of the portal phase and any CT measurement. A new method was developed for quantifying CT perfusion and enhancement values, the Standardised Perfusion Value (SPV) and the Standardised Enhancement Value (SEV). The SPV was shown to correlate with FDG uptake in a series of 16 patient studies of lung nodules, an unexpected and potentially important finding that if confirmed in a larger study may provide an additional diagnostic role for CT in the assessment of lung nodules. Investigation of a commercially available package for the determination of CT Perfusion, CT Perfusion GE Medical Systems, was undertaken in a small series of brain studies for assessment of acute stroke. This data set showed the technique to positively identify patients with non-hemorrhagic stroke in the presence of a normal conventional CT, to select those cases where thrombolysis is appropriate, and to provide an indication for prognosis. An investigation of the accuracy and cost-effectiveness of FDG PET in solitary pulmonary nodules using Australian data was carried out. FDG PET was found to be accurate, cost saving and cost effective for the characterisation of indeterminate solitary pulmonary nodules in Australia. This work was expanded to include the impact of quantitative contrast enhancement CT (QECT) on the cost-effectiveness of FDG PET. The addition of QECT is a cost effective approach, however whether QECT is used alone or in combination with FDG PET will depend on local availability of PET, the cost of PET with respect to surgery and the prior probability of malignancy. A published review of CT perfusion, clinical applications and techniques, is included in the body of the work. Dynamic contrast-enhanced CT and FDG PET were used to investigate blood flow, expressed as SPV, and metabolic relationships in non-small cell lung cancers (NSCLC) of varying size and stage. A significant correlation between SPV and FDG uptake was only found for tumours smaller than 4.5 cm2. Blood flow-metabolic relationships are not consistent in NSCLC but depend on tumour size and stage. Dynamic contrast-enhanced CT as an adjunct to an FDG study undertaken using integrated PET-CT offers an efficient way to augment the assessment of tumour biology with possible future application as part of clinical care. In summary the work has developed a method for standardizing the results of dynamic contrast-enhanced CT and investigated its potential when applied with FDG PET to improve the diagnosis and staging of cancers.

In Dynamic Contrast Enhanced MRI there are several steps from the initial signal to obtaining the pharmacokinetic parameters for tumor characterization. The aim of this work was to validate the steps in the flow of data focusing on T1-mapping, Contrast Agent (CA)-quantification and the pharmacokinetical (PK) model, using a digital phantom of a head. In the Digital Phantom tissues are assigned necessary values to obtain both a regular and contrast enhanced (using Parker AIF) representation and simulating an SPGR signal. The data analysis was performed in a software called MICE, as well as the Digital Phantom developed at the department of Radiation Sciences at Umeå University. The method of variable flip angles for the T1-mapping was analyzed with respect to SNR and number of flip angles, finding that the median value in each tissue is correct and stable. A "two point" inversion recovery sequence was tested with optimal combination of inversion times for white matter and CSF and obtaining correct T1-values when the inversion times were close to the tissue T1, otherwise with large deviations seen. Three different methods for CA-quantification were analyzed and a large underestimation was found assuming a linearity between signal and CA-concentration mainly for vessels at about 60%, but also for other tissue such as white matter at about 15%, improving when the assumption was removed. Still there was a noticeable underestimation of 30% and 10% and the quantification was improved further, achieving a near perfect agreement with the reference concentration, taking the T2*-effect into account. Applying Kety-model, discarding the vp-term, Ktrans was found to be stable with respect to noise in the tumor rim but ve noticeably underestimated with about 50%. The effect of different bolus arrival time, shifting the AIF required in the PK-model with respect to the CA-concentration, was tested with values up to 5 s, obtaining up to about 5% difference in Ktrans as well as the effect of a vascular transport function obtained by the means of an effective mean transit time up to 5 s and up to about 5% difference in Ktrans.

Cerebral small vessel disease (SVD) is a common cause of strokes and dementia. The pathogenesis of SVD is poorly understood, but imaging and biochemical investigations suggest that subtle blood-brain barrier (BBB) leakage may contribute to tissue damage. The most widely-used imaging method for assessing BBB integrity and other microvascular properties is dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). DCE-MRI has primarily been applied in situations where contrast uptake in tissue is typically large and rapid (e.g. neuro-oncology); the optimal approach for quantifying BBB integrity in diseases where the BBB remains largely intact and the reliability of resulting measurements is unclear. The main purpose of this thesis was to assess and improve the reliability of quantitative assessment of subtle BBB disruption, in order to illuminate its potential role in cerebral SVD. Firstly, a systematic literature review was performed in order to provide an overview of DCE-MRI methods in the brain. This review found large variations in MRI procedures and data analysis methods, resulting in widely varying estimates of tracer kinetic parameters. Secondly, this thesis focused on the analysis of DCE-MRI data acquired in an on-site clinical study of mild stroke patients. After performing basic DCE-MRI processing (e.g. selection of a vascular input function), this work aimed to determine the tracer kinetic modelling approach most suitable for assessing subtle BBB disruption in this cohort. Using data-driven model selection and computer simulations, the Patlak model was found to provide accurate estimates of blood plasma volume and low-level BBB leakage. Thirdly, this thesis aimed to investigate two potential pitfalls in the quantification of subtle BBB disruption. Contrast-free measurements in healthy volunteers revealed that a signal drift of approximately 0.1 %/min occurs during the DCE-MRI acquisition; computer simulations showed that this drift introduces significant systematic errors when estimating low-level tracer kinetic parameters. Furthermore, tracer kinetic analysis was performed in an external patient cohort in order to investigate the inter-study comparability of DCE-MRI measurements. Due to the nature of the acquisition protocol it proved difficult to obtain reliable estimates of BBB leakage, highlighting the importance of study design. Lastly, this thesis examined the relationship between quantitative MRI parameters and clinical measurements in cerebral SVD, with a focus on the estimates of blood volume and BBB leakage obtained in the internal SVD patient cohort. This work did not provide evidence that BBB leakage in normal-appearing tissue increases with SVD burden or predicts disease progression; however, increased BBB leakage was found in white matter hyperintensities. Furthermore, this work raises the possibility of a role for blood plasma volume and dietary salt intake in cerebral SVD. The work described in this thesis has demonstrated that it is possible to estimate subtle BBB disruption using DCE-MRI, provided that the measurement and data analysis strategies are carefully optimised. However, absolute values of tracer kinetic parameters should be interpreted with caution, particularly when making comparisons between studies, and sources of error and their influence should be estimated where possible. The exact roles of BBB breakdown and other microvascular changes in SVD pathology remain to be defined; however, the work presented in this thesis contributes further insights and, together with technical advances, will facilitate improved study design in the future.

Les propriétés microvasculaires de la moëlle osseuse (MO) sont mal connues chez l’être humain. L’IRM de perfusion en permet une évaluation quantitative non invasive. La hanche a été choisie, car elle est la cible de pathologies fréquentes et handicapantes, qu’il est nécessaire de diagnostiquer plus précocement telle la coxarthrose. Nous avons d’abord implémenté une séquence IRM volumique à voxels isotropiques, avec une couverture large et une résolution spatiale élevée. Celle-ci a ensuite permis l’étude d’une série de 60 patients âgés de 18 à 60 ans, sans antécédent de pathologie osseuse et présentant une MO d’aspect normal en IRM. Les paramètres de perfusion semi-quantitatifs et pharmacocinétiques ont été mesurés dans 15 régions d’intérêt chez chaque patient. Tous les paramètres de perfusion diffèrent entre les zones de MO rouge et de MO jaune. La perfusion est différente entre les MO acétabulaire (squelette axial) et fémorale intertrochantérienne (squelette appendiculaire). Plusieurs paramètres sont corrélés de manière négative à l’âge. Plusieurs paramètres sont différents entre les hommes et les femmes. La perfusion de la tête fémorale est hétérogène, probablement en raison de l’exposition aux contraintes mécaniques. Les paramètres Ktrans, Kep et TTP sont corrélés à l’indice de masse corporelle, ce qui suggère que l’obésité influence le métabolisme de la MO. Enfin, le tabagisme et l’hypercholestérolémie ont une incidence sur ces mêmes paramètres dans certaines zones. Ils pourraient donc être le reflet d’altérations de la microvascularisation osseuse. Ces travaux ouvrent de nouvelles perspectives de recherche sur la physiologie et la pathologie de la MO. / Bone Marrow (BM) microvascular properties are insufficently known in humans. Dynamic-Contrast Enhanced (DCE) MRI allows its non-invasive quantitative assessment. We concentrated on the hip because this joint is frequently affected by debilitating pathologies such as osteoarthritis. Their early diagnosis is a current medical challenge. We implemented a 3D DCE-MRI sequence with isotropic voxels, high spatial resolution and a large coverage. It was used in a study of 60 patients aged 18 to 60, with no previous history of bone disease and with normal-appearing BM on MR images. Semi-quantitative and pharmacokinetic parameters were measured in 15 regions of interest in each patient. All the parameters were different between red and yellow BM. Perfusion was different between acetabular (axial skeleton) and femoral intertrochanteric (appendicular skeleton) BMs. Several parameters were negatively correlated with age. Perfusion was different in men and women. The femoral head perfusion was heterogeneous, likely because of mechanical load exposure. Ktrans, Kep and TTP were correlated with body mass index. This suggests that obesity influences BM metabolism. Smoking and hypercholesterolemia influenced these same parameters in several zones. We hypothesized that these parameters might reflect BM microvascular aletrations. Our results open new research perspectives both in the physiology and pathology of BM.

Microvascular permeability is a pharmacologic indicator of tumor response to therapy, and it is expected that this biomarker will evolve into a clinical surrogate endpoint and be integrated into protocols for determining patient response to antiangiogenic or antivascular therapies. The goal of this research is to develop a method by which microvascular permeability (Ktrans) and vascular volume (vp) as measured by DCE-MRI were directly compared to the same parameters measured by intravital fluorescence microscopy in an MRI-compatible window chamber model. Dynamic contrast enhanced-MRI (DCE-MRI) is a non-invasive, clinically useful imaging approach that has been used extensively to measure active changes in tumor microvascular hemodynamics. However, uncertainties exist in DCE-MRI as it does not interrogate the contrast reagent (CR) itself, but the effect of the CR on tissue water relaxivity. Thus, direct comparison of DCE-MRI with a more quantitative measure would help better define the derived parameters. The combined imaging system was able to obtain both dynamic contrast-enhanced MRI data high spatio-termporal resolution fluorescence data following injection of fluorescent and gadolinium co-labeled albumin. This approach allowed for the cross-validation of vascular permeability data, in relation tumor growth, angiogenesis and response to therapy in both imaging systems.

Background: Parameters of carotid atherosclerosis dynamic contrast-enhanced MRI (DCE-MRI) are associated with stroke risk indices, but studies have only evaluated symptomatic arteries. I hypothesized that DCE-MRI parameters are different between carotid atherosclerotic plaques at high and low risk for precipitating ischemic stroke. Methods: High and low risk carotid plaques undergoing nonmodel-based DCE-MRI (n=18) were compared using two independent schema: 1) clinical standard (high risk defined as ipsilateral stroke/TIA <1 week old or stenosis >70%); 2) MRI standard (high risk defined as presence of intraplaque hemorrhage [IPH]). Results: IPH-positive plaques (n=9) exhibited greater area under the curve, early and late enhancement rate, and peak enhancement than IPH-negative plaques (n=9) (p<0.05 for all). High (n=8) and low (n=7) risk plaques defined by clinical criteria were not differentiated by any DCE-MRI parameters. Conclusions: Nonmodel-based DCE-MRI discriminates high versus low risk carotid plaque based on the presence of IPH, but not by clinical criteria.

Background: Parameters of carotid atherosclerosis dynamic contrast-enhanced MRI (DCE-MRI) are associated with stroke risk indices, but studies have only evaluated symptomatic arteries. I hypothesized that DCE-MRI parameters are different between carotid atherosclerotic plaques at high and low risk for precipitating ischemic stroke. Methods: High and low risk carotid plaques undergoing nonmodel-based DCE-MRI (n=18) were compared using two independent schema: 1) clinical standard (high risk defined as ipsilateral stroke/TIA <1 week old or stenosis >70%); 2) MRI standard (high risk defined as presence of intraplaque hemorrhage [IPH]). Results: IPH-positive plaques (n=9) exhibited greater area under the curve, early and late enhancement rate, and peak enhancement than IPH-negative plaques (n=9) (p<0.05 for all). High (n=8) and low (n=7) risk plaques defined by clinical criteria were not differentiated by any DCE-MRI parameters. Conclusions: Nonmodel-based DCE-MRI discriminates high versus low risk carotid plaque based on the presence of IPH, but not by clinical criteria.

Background: Dynamic contrast-enhanced MRI (DCE-MRI) has the potential to produce images of physiological quantities such as blood flow, blood vessel volume fraction, and blood vessel permeability. Such information is highly valuable, e.g., in oncology. The focus of this work was to improve the quantitative aspects of DCE-MRI in terms of better understanding of error sources and their effect on estimated physiological quantities. Methods: Firstly, a novel parameter estimation algorithm was developed to overcome a problem with sensitivity to the initial guess in parameter estimation with a specific pharmacokinetic model. Secondly, the accuracy of the arterial input function (AIF), i.e., the estimated arterial blood contrast agent concentration, was evaluated in a phantom environment for a standard magnitude-based AIF method commonly used in vivo. The accuracy was also evaluated in vivo for a phase-based method that has previously shown very promising results in phantoms and in animal studies. Finally, a method was developed for estimation of uncertainties in the estimated physiological quantities. Results: The new parameter estimation algorithm enabled significantly faster parameter estimation, thus making it more feasible to obtain blood flow and permeability maps from a DCE-MRI study. The evaluation of the AIF measurements revealed that inflow effects and non-ideal radiofrequency spoiling seriously degrade magnitude-based AIFs and that proper slice placement and improved signal models can reduce this effect. It was also shown that phase-based AIFs can be a feasible alternative provided that the observed difficulties in quantifying low concentrations can be resolved. The uncertainty estimation method was able to accurately quantify how a variety of different errors propagate to uncertainty in the estimated physiological quantities. Conclusion: This work contributes to a better understanding of parameter estimation and AIF quantification in DCE-MRI. The proposed uncertainty estimation method can be used to efficiently calculate uncertainties in the parametric maps obtained in DCE-MRI.

京都大学 / 新制・課程博士 / 博士(医学) / 甲第23469号 / 医博第4776号 / 新制||医||1053(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 溝脇 尚志, 教授 武藤 学, 教授 森田 智視 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

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