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Tips for Improving Preclinical Imaging. In order to study the nature or diseases, such as those affecting the central nervous system, medical practitioners and scientists often use preclinical models and modalities to assist in their diagnosis, frankly, medical practitioners follow certain guidelines to ensure that the imaging recorded from preclinical models can provide a clear and interpretable data across all fields and assist drug manufacturers a better framework to work on how they can conduct their clinical trials and develop their drugs for a certain disease. Prior to engaging in a study, connect preclinical imaging specialists if possible with specialists from elsewhere within the field (preclinical translation and clinical development) to evaluate the translatability of all the components of the model. Things to take into account during the process include the pertinence of the particular disease model and the aspects of the disease under scrutiny, well, it may be futile to examine attributes of the disease that lack translatable imaging aspect.
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Once you factor in several things, then scaling from rodents to humans may not be as easy as it seems but there has to be a very straightforward translational aspects that rely on certain parameters.
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More often than not imaging constitutes a single aspect of the modeling paradigm together with function, behavior, electrophysiological and histopathological aspects, well, the paradigm ought to be examined with respect to the timing and outcome of the assays relative to imaging endpoints. Always seek for data from imaging groups to determine whether there is a gap within the modeling paradigm and see if the parameters used in the study can be examined by the imaging group or those doing the study. Data from the specific scanners and the representative data and analysis by the team that collects the data using the scanners is critical, also, not that performing the same study with a different scanner can have an adverse change on the interpretation of the outcomes of the study. The particular animal model and the specific imaging techniques applied and the data analysis selected may all have an effect on the eventual results, this becomes of utmost importance when possibly subtle changes upon drug treatment are under scrutiny. Discuss openly any exclusion of criteria and when/where/if to replace the subjects in the study within the same context. These terms can be quite confusing, but they can work hand-in-hand in studies, however, it is important to use the opportunity provided by imaging time per subject to get all the right information and retain high throughput. Imaging studies can be difficult, however, if you are working hand in hand with experts then you have a higher and better chance to understand it through some easier and quicker interpretation.