Shows one or more lesions have been identified in the lower limb region.
Row 2:
Shows the limb that contains lesion is the left leg.
Row 3:
Shows the major vessel that contains a lesion is the left femoro-popliteal peripheral artery.
Row 4:
Shows the lesion is found in the left popliteal artery, in the segment below the knee. Note a TULNKID is created for row 4 ONLY where TULNKID = Lesion 1. This --LNKID is used to connect this lesion to the lesion severity assessment in CV. TULNKID is created in this case as the lesion identifier, it also serves the function to connect the identified lesion to other assessments in different domains.
tu.xpt
tu.xpt
Row
STUDYID
DOMAIN
USUBJID
TUSEQ
TULNKID
TUTEST
TULOC
TUORRES
TU Result LOC
TU Result LAT
TU Result LOCDTL
TUMETHOD
TUEVEL
VISITNUM
VISIT
TUDTC
1
TUDY01
TU
40912
1
Lesion Indicator
LOWER LIMB REGION
Y
CT PERIPHERAL ANGIOGRAPHY
INVESTIGATOR
2
VISIT 1
2007-02-07
2
TUDY01
TU
40912
2
Lesion 1
Lesion Location Identification
LOWER LIMB REGION
IDENTIFIED
POPLITEAL ARTERY
LEFT
ABOVE KNEE
CT PERIPHERAL ANGIOGRAPHY
INVESTIGATOR
2
VISIT 1
2007-02-07
3
TUDY01
TU
40912
3
Graft Lesion 1
Lesion Location Identification
LOWER LIMB REGION
IDENTIFIED
LEFT FEMORO-POPLITEAL GRAFT
LEFT
PROXIMAL ANASTOMOSIS, 5MM FROM THE ORIGIN OF THE GRAFT
CT PERIPHERAL ANGIOGRAPHY
INVESTIGATOR
2
VISIT 1
2007-02-07
Dataset Debug Messages
There is a leading, trailing, or non-breaking space in the dataset.
Reusibility of the result location variables in other domains.
Simplicity: there is only one location for TULOC for the Lesion Location Identification process. Imaging location is treated as the general location for TULOC, and all result locations are under the RESLOC variable.
Clarity of data representation
Cons:
there is only one result associated with the location questions.
Vote:
Approach 2: representing lesion locations as result values
Row 1:
Shows one or more lesions have been identified in the lower limb region.
Row 2:
Shows the lesion is in the POPLITEAL ARTERY.
Row 3:
Shows the lesion is in the left POPLITEAL ARTERY.
Row 4:
Shows the lesion is in the left POPLITEAL ARTERY, in the segment above the knee.
Row 5:
Shows the lesion is in the LEFT FEMORO-POPLITEAL GRAFT.
Row 6:
Shows the lesion is in the LEFT FEMORO-POPLITEAL GRAFT, PROXIMAL ANASTOMOSIS, 5MM FROM THE ORIGIN OF THE GRAFT
tu.xpt
tu.xpt
Row
STUDYID
DOMAIN
USUBJID
TUSEQ
TULNKID
TUTEST
TULOC
TULAT
TUORRES
TUMETHOD
TUEVEL
VISITNUM
VISIT
TUDTC
1
TUDY01
TU
40912
1
Lesion Indicator
LOWER LIMB REGION
Y
CT PERIPHERAL ANGIOGRAPHY
INVESTIGATOR
2
VISIT 1
2007-02-07
2
TUDY01
TU
40912
2
Lesion 1
Lesion Location Identification
LOWER LIMB REGION
POPLITEAL ARTERY
CT PERIPHERAL ANGIOGRAPHY
INVESTIGATOR
2
VISIT 1
2007-02-07
3
TUDY01
TU
40912
3
Lesion 1
Lesion Location Laterality Identification
POPLITEAL ARTERY
LEFT
CT PERIPHERAL ANGIOGRAPHY
INVESTIGATOR
2
VISIT 1
2007-02-07
4
TUDY01
TU
40912
4
Lesion 1
Lesion Location Detail Identification
POPLITEAL ARTERY
LEFT
ABOVE KNEE
CT PERIPHERAL ANGIOGRAPHY
INVESTIGATOR
2
VISIT 1
2007-02-07
5
TUDY01
TU
40912
1
Graft Lesion 1
Lesion Location Identification
LOWER LIMB REGION
LEFT FEMORO-POPLITEAL GRAFT
CT PERIPHERAL ANGIOGRAPHY
INVESTIGATOR
2
VISIT 1
2007-02-07
6
TUDY01
TU
40912
2
Graft Lesion 1
Lesion Location Detail Identification
LEFT FEMORO-POPLITEAL GRAFT
PROXIMAL ANASTOMOSIS, 5MM FROM THE ORIGIN OF THE GRAFT
CT PERIPHERAL ANGIOGRAPHY
INVESTIGATOR
2
VISIT 1
2007-02-07
Dataset Debug Messages
There is a leading, trailing, or non-breaking space in the dataset.
lesion location, location laterality and location details are represented as separate TUTESTs - allowing different results
Cons:
The need to create lesion type-specific tests (e.g. aneurysm, calcified annuls, etc), causing an expansion of TUTESTs. For each lesion type, you may create:
xxx location identification
xxx location laterality identification
xxx location directionality identification
xxx location portot identification
xxx location detail identification
Reusibility in other domains is limited, seeing as lesion identification should all be mapped to TU.
In this set up, the previous result becomes the location for the next TEST, this requires good understanding of lesion anatomy and the difference between TSTLOC vs RESLOC in order to map the locations properly and correctly for each corresponding test, step wise.
How is this collected?
Vote:
Approach 3: taking a similar approach as SEND in MI domain modeling where MI test = microscopic examination, the identified abnormality is the result and the location of the said abnormality is mapped to RESLOC.
I think Diane had proposed this approach before but it didn't go anywhere?