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Purpose: [F]Fluoroazomycin arabinoside (FAZA) is a positron emission tomography (PET) tracer developed to enable identification of hypoxic regions within a tumour. The aims of this study were to determine the optimal kinetic model along with validation of using alternatives to arterial blood sampling for analysing [F]FAZA studies and to assess the validity of simplified analytical methods. Methods: Dynamic 70-min [F]FAZA PET/CT scans were obtained from nine non-small cell lung cancer patients. Continuous arterial blood sampling, together with manual arterial and venous sampling, was performed to derive metabolite-corrected plasma input functions. Volumes of interest (VOIs) were defined for tumour, healthy lung muscle and adipose tissue generating [F]FAZA time-activity curves (TACs). TACs were analysed using one- and two-tissue compartment models using both metabolite-corrected blood sampler plasma input functions (BSIF) and image-derived plasma input functions (IDIF). Results: The reversible two-tissue compartment model with blood volume parameter (2T4k+V) best described kinetics of [F]FAZA in tumours. Volumes of distribution (V) obtained using IDIF correlated well with those derived using BSIF ( R = 0.82). Venous samples yielded the same radioactivity concentrations as arterial samples for times >50 min post-injection (p.i.). In addition, both plasma to whole blood ratios and parent fractions were essentially the same for venous and arterial samples. Both standardised uptake value (SUV), normalised to lean body mass, and tumour to blood ratio correlated well with V ( R = 0.77 and R = 0.87, respectively, at 50-60 min p.i.), although a bias was observed at low V. Conclusion: The 2T4k+V model provided the best fit to the dynamic [F]FAZA data. IDIF with venous blood samples can be used as input function. Further data are needed to validate the use of simplified methods. [ABSTRACT FROM AUTHOR]

Introduction: Chronic traumatic encephalopathy (CTE) is a tauopathy associated to repetitive head trauma. There are no validated in vivo biomarkers of CTE and a definite diagnosis can only be made at autopsy. Recent studies have shown that positron emission tomography (PET) tracer AV-1451 (Flortaucipir) exhibits high binding affinity for paired helical filament (PHF)-tau aggregates in Alzheimer (AD) brains but relatively low affinity for tau lesions in other tauopathies like temporal lobal degeneration (FTLD)-tau, progressive supranuclear palsy (PSP) or corticobasal degeneration (CBD). Little is known, however, about the binding profile of this ligand to the tau-containing lesions of CTE. Objective: To study the binding properties of [18F]-AV-1451 on pathologically confirmed CTE postmortem brain tissue samples. Methods: We performed [18F]-AV-1451 phosphor screen and high resolution autoradiography, quantitative tau measurements by immunohistochemistry and Western blot and tau seeding activity assays in brain blocks containing hippocampus, superior temporal cortex, superior frontal cortex, inferior parietal cortex and occipital cortex from 5 cases of CTE, across the stages of disease: stage II-III (n = 1), stage III (n = 3), and stage IV (n = 1). Importantly, low or no concomitant classic AD pathology was present in these brains. Results: Despite the presence of abundant tau aggregates in multiple regions in all CTE brains, only faint or no [18F]-AV-1451 binding signal could be detected by autoradiography. The only exception was the presence of a strong signal confined to the region of the choroid plexus and the meninges in two of the five cases. Tau immunostaining and Thioflavin-S staining ruled out the presence of tau aggregates in those regions. High resolution nuclear emulsion autoradiography revealed the presence of leptomeningeal melanocytes as the histologic source of this off-target binding. Levels of abnormally hyperphosphorylated tau species, as detected by Western Blotting, and tau seeding activity were both found to be lower in extracts from cases CTE when compared to AD. Conclusion: AV-1451 may have limited utility for in vivo selective and reliable detection of tau aggregates in CTE. The existence of disease-specific tau conformations may likely explain the differential binding affinity of this tracer for tau lesions in different tauopathies. [ABSTRACT FROM AUTHOR]

The InSPira HD system, a novel brain-dedicated SPECT scanner, allows for imaging with a high spatial resolution. Here, we tested whether this scanner can be used to image the dopamine transporter adequately. Therefore, striatal phantom and patient data acquired on the InSPira were compared head-to-head with the well-validated brain-dedicated NeuroFocus system. A striatal phantom filled with [123I] and 14 subjects (after [123I]FP-CIT injection) were scanned on both systems. [123I]FP-CIT SPECT scans were visually assessed. Striatal binding ratios were calculated automatically using the software package BRASS. Striatal phantom and patient data showed strong correlations with respect to striatal ratios (R = 0.99 and R = 0.92; p < 0.05 and p < 0.01, respectively). Slightly higher ratios were found for the NeuroFocus patient data, probably due to differences in system performance. Visual assessment of [123I]FP-CIT scans showed agreement between systems in 13 of the 14 cases. We conclude that [123I]FP-CIT SPECT imaging can be performed adequately on the new InSPira system. [ABSTRACT FROM AUTHOR]

Purpose: Tuberous sclerosis complex (TSC) is an autosomal dominant disorder caused by inactivating mutations of the TSC1 or TSC2 gene, characterized by neurocognitive impairment and benign tumors of the brain, skin, heart, and kidneys. Lymphangioleiomyomatosis (LAM) is a diffuse proliferation of α-smooth muscle actin-positive cells associated with cystic destruction of the lung. LAM occurs almost exclusively in women, as a TSC manifestation or a sporadic disorder ( TSC1/TSC2 somatic mutations). Biomarkers of whole-body tumor burden/activity and response to rapalogs or other therapies remain needed in TSC/LAM., Experimental Design: These preclinical studies aimed to assess feasibility of [ 18 F]fluorocholine (FCH) and [ 18 F]fluoroacetate (FACE) as TSC/LAM metabolic imaging biomarkers., Results: We previously reported that TSC2-deficient cells enhance phosphatidylcholine synthesis via the Kennedy pathway. Here, we show that TSC2-deficient cells exhibit rapid uptake of [ 18 F]FCH in vivo and can be visualized by PET imaging in preclinical models of TSC/LAM, including subcutaneous tumors and pulmonary nodules. Treatment with rapamycin (72 hours) suppressed [ 18 F]FCH standardized uptake value (SUV) by >50% in tumors. Interestingly, [ 18 F]FCH-PET imaging of TSC2-deficient xenografts in ovariectomized mice also showed a significant decrease in tumor SUV. Finally, we found rapamycin-insensitive uptake of FACE by TSC2-deficient cells in vitro and in vivo , reflecting its mitochondrial accumulation via inhibition of aconitase, a TCA cycle enzyme., Conclusions: Preclinical models of TSC2 deficiency represent informative platforms to identify tracers of potential clinical interest. Our findings provide mechanistic evidence for testing the potential of [ 18 F]FCH and [ 18 F]FACE as metabolic imaging biomarkers for TSC and LAM proliferative lesions, and novel insights into the metabolic reprogramming of TSC tumors., (©2018 American Association for Cancer Research.)

18 F-T807 is a PET radiotracer developed for imaging tau protein aggregates, which are implicated in neurologic disorders including Alzheimer disease and traumatic brain injury (TBI). The current study characterizes 18 F-T807 pharmacokinetics in human subjects using dynamic PET imaging and metabolite-corrected arterial input functions. Methods: Nine subjects (4 controls, 3 with a history of TBI, 2 with mild cognitive impairment due to suspected Alzheimer disease) underwent dynamic PET imaging for up to 120 min after bolus injection of 18 F-T807 with arterial blood sampling. Total volume of distribution ( V T ) was estimated using compartmental modeling (1- and 2-tissue configurations) and graphical analysis techniques (Logan and multilinear analysis 1 [MA1] regression methods). Reference region-based methods of quantification were explored including Logan distribution volume ratio (DVR) and static SUV ratio (SUVR) using the cerebellum as a reference tissue. Results: The percentage of unmetabolized 18 F-T807 in plasma followed a single exponential with a half-life of 17.0 ± 4.2 min. Metabolite-corrected plasma radioactivity concentration fit a biexponential (half-lives, 18.1 ± 5.8 and 2.4 ± 0.5 min). 18 F-T807 in gray matter peaked quickly (SUV > 2 at ∼5 min). Compartmental modeling resulted in good fits, and the 2-tissue model with estimated blood volume correction (2Tv) performed best, particularly in regions with elevated binding. V T was greater in mild cognitive impairment subjects than controls in the occipital, parietal, and temporal cortices as well as the posterior cingulate gyrus, precuneus, and mesial temporal cortex. High focal uptake was found in the posterior corpus callosum of a TBI subject. Plots from Logan and MA1 graphical methods became linear by 30 min, yielding regional estimates of V T in excellent agreement with compartmental analysis and providing high-quality parametric maps when applied in voxelwise fashion. Reference region-based approaches including Logan DVR ( t * = 55 min) and SUVR (80- to 100-min interval) were highly correlated with DVR estimated using 2Tv ( R 2 = 0.97, P < 0.0001). Conclusion: 18 F-T807 showed rapid clearance from plasma and properties suitable for tau quantification with PET. Furthermore, simplified approaches using DVR ( t * = 55 min) and static SUVR (80-100 min) with cerebellar reference tissue were found to correlate highly with compartmental modeling outcomes., (© 2017 by the Society of Nuclear Medicine and Molecular Imaging.)

Unlabelled: (18)F-fluoroazomycin arabinoside ((18)F-FAZA) is a PET tracer of tumor hypoxia. However, as hypoxia often is associated with decreased perfusion, the delivery of (18)F-FAZA may be compromised, potentially disturbing the association between tissue hypoxia and (18)F-FAZA uptake. The aim of this study was to gain insight into the relationship between tumor perfusion and (18)F-FAZA uptake., Methods: Ten patients diagnosed with advanced non-small cell lung cancer underwent subsequent dynamic (15)O-H2O and (18)F-FAZA PET scans with arterial sampling. Parametric images of both (15)O-H2O-derived perfusion (tumor blood flow [TBF]) and volume of distribution (V(T)) of (18)F-FAZA were generated. Next, multiparametric classification was performed using lesional and global thresholds. Voxels were classified as low or high TBF and (18)F-FAZA V(T), respectively. Finally, by combining these initial classifications, voxels were allocated to 4 categories: lowTBF-lowV(T), lowTBF-highV(T), highTBF-lowV(T), and highTBF-highV(T)., Results: A total of 13 malignant lesions were identified in the 10 patients. The TBF and (18)F-FAZA V(T) values (average ± SD) across all lesions were 0.45 ± 0.20 mL·cm(-3)·min(-1) and 0.94 ± 0.31 mL·cm(-3), respectively. The averages of all lesional median values for TBF and (18)F-FAZA V(T) were 0.37 ± 0.15 mL·cm(-3)·min(-1) and 0.85 ± 0.18 mL·cm(-3), respectively. Multiparametric analysis showed that classified voxels were clustered rather than randomly distributed. Several intralesion areas were identified where (18)F-FAZA V(T) was inversely related to TBF. On the other hand, there were also distinct areas where TBF as well as (18)F-FAZA V(T) were decreased or increased., Conclusion: The present data indicate that spatial variation of (18)F-FAZA uptake is not necessarily inversely related to TBF. This suggests that decreased TBF may result in flow-limited delivery of (18)F-FAZA. Areas with both high (18)F-FAZA uptake and high TBF values suggest that high (18)F-FAZA uptake, possibly suggesting hypoxia, may occur despite high TBF values. In conclusion, multiparametric evaluation of the spatial distributions of both TBF and (18)F-FAZA uptake may be helpful for understanding the (18)F-FAZA signal., (© 2016 by the Society of Nuclear Medicine and Molecular Imaging, Inc.)