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Ways of Enhancing Preclinical Imaging. Preclinical models and the accompanying modalities are special tools that are used in the study of particular aspects of disease such as neurodegeneration in the case of diseases of the nervous system, well, the following tips help to ensure imaging in a preclinical space generates comprehensible data across all disease states and thus assisting drug developers to better design and monitor clinical trials and bring drugs to the market faster. 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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It is also not very accurate to utilize data from rodent tests and compare it with human tests due to their difference, but certain parameters – such as the results of the MRS – must be discussed and analyzed.
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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. 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. If you are trying to observe any subtle changes when drug is administered to an animal, then be sure to have already used the specific animal model and imaging methodologies together with a couple of tests in order to know the variation within the subject. 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. Of course, do not forget to discuss with experts the methodologies possible for the study to retain the expectations for the study and make it easier to interpret the data coming from imaging studies.