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We then assessed whether test-retest variability and accuracy for determination of proliferation of the population input functions were affected by this reduced sampling population-based methodology.
In this study, we investigated the consequences of using a population input approach and highly reduced sampling protocols to estimate FLT kinetics in oncology PET studies without continuous arterial sampling.
For these reasons, we expect that population input functions derived using plasma and metabolite correction from venous blood samples, a much more convenient method in clinical settings as opposed to arterial sampling, may yield similar accuracy of Ki values and could make FLT kinetic estimation in tumours even more widely applicable.
The appropriateness of a population input function and highly reduced blood protocol approach will depend on the purpose of the FLT-PET study in question, as the practical advantages of reducing the number of sampling points is offset by an increasing loss of accuracy in the Ki estimation.
This has been possible by constructing a population input function (POP-IF) based on a leave-one-out cross-validated average of the pre-treatment scans subset for the initial part of the curve and on the individual plasma and metabolites data for the latter part.
The higher the overall population input rate to each LN, the lower is the variability of the summed input and hence, the probability of spurious spikes.
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We demonstrate that these patterns preserve information about multiple orientations present in the population inputs.
Our findings show that the shape of postsynaptic potentials not only determines the temporal precision and reliability with which cortical pyramidal cells generate spikes, but also how spike generation is affected by the amplitude and temporal jitter of population inputs and by the overall level of synaptic input activity.
We have shown that the shape of postsynaptic potentials not only determines the temporal precision and reliability with which cortical pyramidal cells generate response spikes, but also how spike generation is affected by the amplitude and temporal jitter of population inputs and by the overall level of background synaptic activity.
Thus the emerging wisdom of the crowd analytics potentially represents a new phase and eventually new tools using data evaluation based on large scale population inputs, and it will benefit greatly all public health environment.
We identified from the papers the following information: First author (year), setting, data collection, participants, data analysis, services referred in the study, barriers to and determinants of access to health services for the migrant population, inputs and outputs in the access to health services and facilitative conditions and strategies for overcoming barriers.
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CEO of Professional Science Editing for Scientists @ prosciediting.com