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Optimizing 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.
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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Scaling from rodents up to humans may not be straightforward but the translational aspects of certain parameters-such as metabolites drawn from a magnetic resonance spectroscopy- should be well defined.
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Modeling paradigms must be examined in junction with the timing and the results of the relevant studies that is related to the imaging endpoints.
Seek to find all the data before-hand so that it is available when you want to do some imaging, in fact, it is essential because it allows you to notice any deficit within the paradigm or the parameters that are being studied.
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.
Studying the possibilities and the limitations of the disease model comes next to proper imagery because this would help the study determine the scope of the study and when a subject should be replaced.
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