The standard compartment model (CM) is widely used to analyse dynamic PET data. The CM is fitted to time–activity curves to estimate rate constants that describe the transport of a tracer between well-mixed compartments. The aim of this study was to develop and validate a more realistic microvascular compartment model (MCM) that includes capillary tracer concentration gradients, backflux from cells into the perfused capillaries and multiple re-uptakes during the passage through a capillary. The MCM incorporates only parameters with clear physiological meaning, it is easy to implement, and it does not require numerical solution. We compared the MCM and CM for the analysis of 3 min dynamic PET data of pig livers ( N = 5) following injection of 11 C-methylglucose. During PET scans, the tracer concentrations in blood were measured in the abdominal aorta, portal vein and liver vein by manual sampling. We found that the MCM outperformed the CM and that dynamic...
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Objective Outpatient parenteral antimicrobial therapy (OPAT) provides opportunities for improved cost savings, but in the UK, implementation...
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Abstract Purpose Overcoming the flaws of current data management conditions in head and neck oncology could enable integrated informatio...
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A middle-aged poorly controlled diabetic man developed left-sided orbital and facial swelling several days after extraction of a left upper ...
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Universal newborn hearing screening (UNHS) has become the standard of care in many countries. The aim of this study was to evaluate the resu...
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The overall objective of the guideline is to provide up-to-date, evidence-based recommendations for the management of lichen sclerosus (LS)...
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Abstract The head-mounted display (HMD) has the potential to improve the quality of ultrasound-guided procedures. The aim of this non-clin...
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Background. Globally 3 to 8% of reproductive age women are suffering from premenstrual dysphoric disorder (PMDD). Several mental and reprodu...
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ACS Nano DOI: 10.1021/acsnano.7b01926 from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/2pOw4te via...
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