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Dataset wrap
titlecv.xpt
Namecv


Rowcaps


Rows 1-2:

Show subject ABC-123 has a single aortic aneurysm from a chest CT scan.

Row 3:

Shows the said aneurysm is 7.5cm in length (diameter), which is measured from the Aortic Arch to Descending Aorta
Rows 4-5:Show subject ABC-456 is found to have aneurysms in two locations from a whole-body MRI Scan: RENAL ARTERY and THORACIC AORTA.


 

Dataset2


Row

STUDYID

DOMAIN

USUBJID

CVSEQ

CVGRPID

CVTEST

CVORRES

 CVORRESU

CVTSTLOC

CVMETHOD

VISITNUM

VISIT

CVDTC


CVRESLOC1CVRESLOC2

CVRLODTL

 1  ABC CV  ABC-123 11Aneurysm Indicator Y
CHESTCT SCAN1BASELINE 2020-04-27
AORTA

 2  ABC CV  ABC-123 21Number of Aneurysms 1
CHESTCT SCAN1BASELINE 2020-04-27
AORTA

 3  ABC CV  ABC-123 31Aneurysm Length/Diameter 7.5 CMCHESTCT SCAN1BASELINE 2020-04-27
AORTA
Aortic Arch to Descending Aorta
4  ABC CV  ABC-45612Aneurysm IndicatorY
BODYMRI1BASELINE2020-04-27
RENAL ARTERYTHORACIC AORTA
5  ABC CV  ABC-45622Number of Aneurysms2
BODYMRI1BASELINE2020-04-27
RENAL ARTERYTHORACIC AORTA




From the CV-imaging project we also encountered use-cases where we need sub-LOC variables to help to further specify the free-text, detailed, more granular locations where a test is performed. These values are indeed clinically relevant location information that should NOT be pre-coordinated into the TEST itself, but are also inappropriate for LOC.

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