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This example dataset shows the findings of a cardiac magnetic resonance imaging procedure related to late gadolinium enhancement. Different levels of granularity are shown with the various tests and details that might be represented. The research requirements will determine what level of granularity is needed. For example, a study using LGE may require LGE test in their data without the detail of the analysis method. Alternatively, researchers may be interested in understanding if the assessments were done visually or with quantitative methods. If the study includes an assessment of each segment such as with the Segmental Late Gadolinium Enhancement Percentage, there may be interest in representing the quantitative analysis method of "Full-width half maximum" which is one of the types of analysis that may be done. The example provides how to represent this type of information if the researchers are interested in this type of information for the study data. https://jcmr-online.biomedcentral.com/articles/10.1186/1532-429X-16-45

LGE assessments may be done on each of the cardiovascular segments as shown in Figure 1. https://www.ahajournals.org/doi/full/10.1161/hc0402.102975.

Excerpt IncludeFigure 1. Left Ventricular SegmentsFigure 1. Left Ventricular SegmentsThis example includes example datasets to reflect how the CMR procedure and the contrast would be represented in the data.The Procedures (PR) domain represents contains interventional activity intended to have diagnostic, preventive, and therapeutic activity. The , or palliative effects. This example PR dataset shows the cardiac magnetic resonance CMR imaging with two 2 different MRI machines, using the SPDEVID . The sponsor device identifier (SPDEVID) variable is used to represent the imaging device identifier information provided in the DI dataset below. The ANMETH variable describes the analysis method applied to obtain a summarized result. Analysis method describes the method of secondary processing applied to a complex observation result (e.g., an image, a genetic sequence) which in this case applies to the CMR imaging. There are machine-centric analysis methods inherit to the type of machine (e.g.,full-width half maximum, 5 standard deviations, 6 standard deviations). https://jcmr-online.biomedcentral.com/articles/10.1186/1532-429X-12-21 These may be of interest for the study and would be represented using the ANMETH variable.

The Cardiovascular System Findings (CV) domain represents physiological and morphological findings related to the cardiovascular system, including the heart, blood vessels and lymphatic vessels. The findings from the CMR procedure for LGE are noted in this example. If LGE was not performed, it would not appear in the datasetThis example CV dataset shows the results of the LGE test measured using 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).[7] If this information is of interest to the study, it would be represented using the CVANMETH variable.