“Pharmacokinetic modelling for the simultaneous assessment of perfusion and ¹⁸F-flutemetamol uptake in cerebral amyloid angiopathy using a reduced PET-MR acquisition time: proof of concept.

Purpose Cerebral amyloid angiopathy (CAA) is a cerebral small vessel disease associated with perivascular β-amyloid deposition. CAA is also associated with strokes due to lobar intracerebral haemorrhage (ICH). 18F-flutemetamol amyloid ligand PET may improve the early detection of CAA. We performed pharmacokinetic modelling using both full (0–30, 90–120 min) and reduced (30 min) 18F-flutemetamol PET-MR acquisitions, to investigate regional cerebral perfusion and amyloid deposition in ICH patients. Methods Dynamic 18F-flutemetamol PET-MR was performed in a pilot cohort of sixteen ICH participants; eight lobar ICH cases with probable CAA and eight deep ICH patients. A model-based input function (mIF) method was developed for compartmental modelling. mIF 1-tissue (1-TC) and 2-tissue (2-TC) compartmental modelling, reference tissue models and standardized uptake value ratios were assessed in the setting of probable CAA detection. Results The mIF 1-TC model detected perfusion deficits and 18F-flutemetamol uptake in cases with probable CAA versus deep ICH patients, in both full and reduced PET acquisition time (all P < 0.05). In the reduced PET acquisition, mIF 1-TC modelling reached the highest sensitivity and specificity in detecting perfusion deficits (0.87, 0.77) and 18F-flutemetamol uptake (0.83, 0.71) in cases with probable CAA. Overall, 52 and 48 out of the 64 brain areas with 18F-flutemetamol-determined amyloid deposition showed reduced perfusion for 1-TC and 2-TC models, respectively. Conclusion Pharmacokinetic (1-TC) modelling using a 30 min PET-MR time frame detected impaired haemodynamics and increased amyloid load in probable CAA. Perfusion deficits and amyloid burden co-existed within cases with CAA, demonstrating a distinct imaging pattern which may have merit in elucidating the pathophysiological process of CAA

Effects of 6 weeks of treatment with dapagliflozin, a sodium- glucose co-transporter-2 inhibitor, on myocardial function and metabolism in patients with type 2 diabetes: A randomized, placebo-controlled, exploratory study

Aim: To explore the early effects of dapagliflozin on myocardial function and metabolism in patients with type 2 diabetes without heart failure.Materials and methods: Patients with type 2 diabetes on metformin treatment were randomized to double-blind, 6-week placebo or dapagliflozin 10 mg daily treatment. Investigations included cardiac function and structure with myocardial resonance imaging; cardiac oxygen consumption, perfusion and efficiency with [11 C]-acetate positron emission tomography (PET); and cardiac and hepatic fatty acid uptake with [18 F]-6-thia-heptadecanoic acid PET, analysed by ANCOVA as least square means with 95% confidence intervals.Results: Evaluable patients (placebo: n = 24, dapagliflozin: n = 25; 53% males) had a mean age of 64.4 years, a body mass index of 30.2 kg/m2 and an HbA1c of 6.7%. Body weight and HbA1c were significantly decreased by dapagliflozin versus placebo. Dapagliflozin had no effect on myocardial efficiency, but external left ventricular (LV) work (-0.095 [-0.145, -0.043] J/g/min) and LV oxygen consumption were significantly reduced (-0.30 [-0.49, -0.12] J/g/min) by dapagliflozin, although the changes were not statistically significant versus changes in the placebo group. Change in left atrial maximal volume with dapagliflozin versus placebo was -3.19 (-6.32, -0.07) mL/m2 (p = .056). Peak global radial strain decreased with dapagliflozin versus placebo (-3.92% [-7.57%, -0.28%]; p = .035), while peak global longitudinal and circumferential strains were unchanged. Hepatic fatty acid uptake was increased by dapagliflozin versus placebo (0.024 [0.004, 0.044] μmol/g/min; p = .018), while cardiac uptake was unchanged.Conclusions: This exploratory study indicates reduced heart work but limited effects on myocardial function, efficiency and cardiac fatty acid uptake, while hepatic fatty acid uptake increased, after 6 weeks of treatment with dapagliflozin.</p

Динамика экономических отношений в системе «лес – человек» как фактор формирования менталитета восточных славян

Материалы VIIІ междунар. науч. конф., 23-24 мая 2013 г

Characterization of [18F]flutemetamol binding properties : A β-amyloid PET imaging ligand

The criteria for diagnosing Alzheimer’s disease (AD) have recently been revised to include the use of biomarkers for the in vivo presence of β-amyloid, one of the neuropathological hallmarks of AD. Examples of such biomarkers are positron emission tomography (PET) β-amyloid specific ligands, including [18F]flutemetamol. The aim of this thesis was to characterize the binding properties of [18F]flutemetamol from a tracer kinetic perspective as well as by validating binding measures through comparison with tissue pathology assessments. The applicability of previously developed kinetic models of tracer binding for voxel-based analysis was examined and compared to arterial input compartment modelling, the “gold standard” for PET quantification. Several voxel-based methods were found to exhibit high correlations with compartment modelling, including the semi-quantitative standardized uptake value ratio (SUVR). The kinetic components of [18F]flutemetamol uptake were also investigated without model assumptions using the data driven method spectral analysis, with binding to β-amyloid shown to relate to a slow kinetic component. The same component was also found to predominate in the uptake of white matter, known to be free of β-amyloid accumulation. White matter uptake was however possible to separate from β-amyloid binding based on the relative contribution of the slow component to the total volume of distribution. Uptake of [18F]flutemetamol as quantified using SUVR or assessed visually was found to correlate well with tissue pathology assessments. Classifying the brains of 68 deceased subjects who had undergone [18F]flutemetamol PET scanning ante mortem, based on the spatial distribution of β-amyloid according to pre-defined phases, revealed that abnormal uptake patterns of [18F]flutemetamol were only certain to be found in the last phase of β-amyloid accumulation. In the same cohort however, [18F]flutemetamol was also shown to accurately distinguish between subjects with AD and non-AD dementia. While this supports the use of [18F]flutemetamol in clinical settings for ruling out AD, the association of abnormal [18F]flutemetamol uptake to late phases of β-amyloid accumulation may limit the detection of early accumulation and pre-clinical stages of AD. It remains to be investigated whether application of voxel-based methods and slow component filtering may increase sensitivity, particularly in the context of clinical trials

Parametric imaging and quantitative analysis of the PET amyloid ligand [F-18]flutemetamol

OBJECTIVES: The amyloid imaging PET tracer [(18)F]flutemetamol was recently approved by regulatory authorities in the US and EU for estimation of β-amyloid neuritic plaque density in cognitively impaired patients. While the clinical assessment in line with the label is a qualitative visual assessment of 20 min summation images, the aim of this work was to assess the performance of various parametric analysis methods and standardized uptake value ratio (SUVR), in comparison with arterial input based compartment modeling. METHODS: The cerebellar cortex was used as reference region in the generation of parametric images of binding potential (BPND) using multilinear reference tissue methods (MRTMo, MRTM, MRTM2), basis function implementations of the simplified reference tissue model (here called RPM) and the two-parameter version of SRTM (here called RPM2) and reference region based Logan graphical analysis. Regionally averaged values of parametric results were compared with the BPND of corresponding regions from arterial input compartment modeling. Dynamic PET data were also pre-filtered using a 3D Gaussian smoothing of 5mm FWHM and the effect of the filtering on the correlation was investigated. In addition, the use of SUVR images was evaluated. The accuracy of several kinetic models were also assessed through simulations of time-activity curves based on clinical data for low and high binding adding different levels of statistical noise representing regions and individual voxels. RESULTS: The highest correlation was observed for pre-filtered reference Logan, with correction for individual reference region efflux rate constant k2' (R(2)=0.98), or using a cohort mean k2' (R(2)=0.97). Pre-processing filtered MRTM2, unfiltered SUVR over the scanning window 70-90 min and unfiltered RPM also demonstrated high correlations with arterial input compartment modeling (MRTM2 R(2)=0.97, RPM R(2)=0.96 and SUVR R(2)=0.95) Poorest agreement was seen with MRTM without pre-filtering (R(2)=0.68). CONCLUSIONS: Parametric imaging allows for quantification without introducing bias due to selection of anatomical regions, and thus enables objective statistical voxel-based comparisons of tracer binding. Several parametric modeling approaches perform well, especially after Gaussian pre-filtering of the dynamic data. However, the semi-quantitative use of SUVR between 70 and 90 min has comparable agreement with full kinetic modeling, thus supporting its use as a simplified method for quantitative assessment of tracer uptake.publisher: Elsevier articletitle: Parametric imaging and quantitative analysis of the PET amyloid ligand [18F]flutemetamol journaltitle: NeuroImage articlelink: http://dx.doi.org/10.1016/j.neuroimage.2015.07.037 content_type: article copyright: Copyright © 2015 Elsevier Inc. All rights reserved.status: publishe

In vivo detection of alzheimer’s disease

Recent revisions to the diagnostic criteria for Alzheimer’s disease (AD†) incorporated conceptual advances in the field. Specifically, AD is now recognized to encompass a continuum, spanning from preclinical (accruing brain pathology in the absence of symptoms) through symptomatic predementia (prodromal AD, mild cognitive impairment) and dementia phases. The role of biological markers (biomarkers) of both the underlying molecular pathologies and related neurodegenerative changes has also been acknowledged. In this abridged review, we provide an overview of fluid (cerebrospinal fluid and blood) and molecular imaging-based biomarkers used within the field and discuss the potential role of computer driven artificial intelligence approaches for both the early and accurate identification of AD and as a tool for population enrichment in clinical trials testing candidate disease modifying therapies

Regional times to equilibria and their impact on semi-quantification of [18F]AV-1451 uptake

The semi-quantitative estimate standardised uptake value ratios (SUVR) correlate well with specific binding of the tracer expressed as distribution volume ratios (DVR) for the tau positron emission tomography tracer [18F]AV-1451 uptake and are therefore widely used as proxy for tracer binding. With regard to tracer kinetic modelling, there exists a time point when SUVR deviates minimally from DVR, occurring when the specific binding reaches a transient equilibrium. Here, we have investigated whether the time to equilibrium affects the agreement between SUVR and DVR across different brain regions. We show that the time required to reach equilibrium differs across brain regions, resulting in region-specific biases. However, even though the 80–100 min post-injection time window did not show the smallest bias numerically, the disagreement between SUVR and DVR varied least between regions during this time. In conclusion, our findings suggest a regional component to the bias of SUVR related to the time to transient equilibrium of the specific binding. [18F]AV-1451 uptake should consequently be interpreted with some caution when compared across brain regions using this method of quantification. The commonly used time window 80–100 min post-injection shows the most consistent bias across regions and is recommended for semi-quantification of [18F]AV-1451