This example shows the findings of a cardiac magnetic resonance imaging procedure related to late gadolinium enhancement. The level of granularity varies with the type of test used; research requirements will determine what level of granularity is needed.The procedures (PR) domain contains interventional activity intended to have diagnostic, preventive, therapeutic, or palliative effects. The example PR dataset below shows the cardiac magnetic resonance imaging with two different MRI machines. The sponsor device identifier (SPDEVID) variable is used to represent the imaging device identifier information provided in the DI dataset below.
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The example CV dataset below shows the results of the LGE test measured using cardiac magnetic resonance ( CMR ) imaging. The analysis method describes the method of secondary processing applied to a complex observation result (e.g., an image, a genetic sequence). There may be machine-centric analysis methods inherit to the type of machine (e.g., full-width half maximum, 5 standard deviations, 6 standard deviations). (Ref: https://jcmr-online.biomedcentral.com/articles/10.1186/1532-429X-12-21). If this information is of interest to the study, it would be represented using the CVANMETH variable.
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The device identifiers (DI) domain is used to represent the device information details. For this particular example, the device type was the only detail of interest to the researchers. The DI Sequence sequence number (DISEQ) is specific to each device; note there are two different CMR scanners noted with different values in the SPDEVID variable. Each scanners has a value of "1" for the DISEQ variable since there is only one record or row for each device.
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