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.
When it is possible and prior to the beginning of every study, preclinical imaging specialists from all areas of development come together to analyze the data and determine whether the models components are accurate for review.
You should take into account the particular disease model and the aspects of the different diseases that are being discussed, it may help in examining different aspects of the disease hence translating into a reliable 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.
Whenever possible, it is critical that prior data is availed by the imaging group that shows either a discernible deficit within the modeling paradigm or that the parameters under study can actually be examined by the body conducting the study.
So, ensure that you get all the data from the analysis team who are employing any scanner at hand because this will help you understand the methodologies in a very cost effective way, additionally, doing the same experiment with a different scanner will help you know the accurate results 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 definitely coexist, but it is critical to optimize time used for imaging per subject to obtain only the relevant information required with subsequent capability to retain high throughput.
Also discussing techniques with experts can maintain expectations and cater for faster and easier interpretation of the imaging study results