This example dataset 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. For example, a study may not include 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. This example illustrates how to represent this type of information. (Ref: https://jcmr-online.biomedcentral.com/articles/10.1186/1532-429X-16-45)
The procedures (PR) domain is used to represent diagnostic, preventive, and therapeutic activity. The example PR dataset shows the cardiac magnetic resonance imaging with two different MRI machines. The variable SPDEVID represents the imaging device identifier information provided in the DI dataset below.
Row 1:
Shows the results of a cardiac MRI for participant DMD-EFLGE-01-101.
Row 2:
Shows the results of a cardiac MRI for participant DMD-EFLGE-01-202 with a different MRI machine. The time of the procedure was not available so only the date is shown in the PRSTDTC variable.
pr.xpt
pr.xpt
Row
STUDYID
DOMAIN
USUBJID
SPDEVID
PRSEQ
PRREFID
PRLNKID
PRTRT
PRFAST
PRSTDTC
1
DMD-EFLGE
PR
DMD-EFLGE-01-101
ABC001
1
12345678
04
CARDIAC MAGNETIC RESONANCE IMAGING
Y
2023-07-01T09:15:00
2
DMD-EFLGE
PR
DMD-EFLGE-01-202
ABC002
1
98765432
05
CARDIAC MAGNETIC RESONANCE IMAGING
N
2023-07-05
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Please add a row column to your dataset.
The cardiovascular system findings (CV)dataset showsthe results of the LGE test measured using cardiac magnetic resonance (CMR) imaging. The CVANMETH variable is used to represent 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). There are 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 ANMETH variable.
Row 1:
Shows the late gadolinium enhancement is positive for participant DMD-EFLGE-01-101.
Row 2:
Shows the total late gadolinium enhancement percentage is 40%.
Rows 3-19:
Show segmental late gadolinium enhancement results for each of the left ventricle segments.
Row 20:
Shows the late gadolinium enhancement segment count.
Rows 21-24:
Show the segmental late gadolinium enhancement percentage for each of the positive segments.
Row 25:
Shows the late gadolinium enhancement is negative for participant DMD-EFLGE-01-202.
The procedure agents (AG) domain represents the agents administered to the participant as part of a procedure or assessment. The example AG dataset below shows the timing of the gadolinium-based contrast, GD-DOTA. The time the contrast was given to participant DMD-EFLGE-01-202 was not available, so only the date is represented in AGSTDTC variable.