Effect of Patient Characteristics on Vessel Enhancement at Lower Extremity CT Angiography
Korean Journal of Radiology
;
: 265-271, 2018.
Article
in English
| WPRIM
| ID: wpr-713871
ABSTRACT
OBJECTIVE:
To evaluate the effect of patient characteristics on popliteal aortic contrast enhancement at lower extremity CT angiography (LE-CTA) scanning. MATERIALS ANDMETHODS:
Prior informed consent to participate was obtained from all 158 patients. All were examined using a routine protocol; the scanning parameters were tube voltage 100 kVp, tube current 100 mA to 770 mA (noise index 12), 0.5-second rotation, 1.25-mm detector row width, 0.516 beam pitch, and 41.2-mm table movement, and the contrast material was 85.0 mL. Cardiac output (CO) was measured with a portable electrical velocimeter within 5 minutes of starting the CT scan. To evaluate the effects of age, sex, body size, CO, and scan delay on the CT number of popliteal artery, the researchers used multivariate regression analysis.RESULTS:
A significant positive correlation was seen between the CT number of the popliteal artery and the patient age (r = 0.39, p < 0.01). A significant inverse correlation was observed between the CT number of the popliteal artery and the height (r = −0.48), total body weight (r = −0.52), body mass index (r = −0.33), body surface area (BSA) (r = −0.56), lean body weight (r = −0.56), and CO (r = −0.35) (p < 0.001 for all). There was no significant correlation between the enhancement and the scan delay (r = 0.06, p = 0.47). The BSA, CO, and age had significant effects on the CT number (standardized regression BSA −0.42, CO −0.22, age 0.15; p < 0.05, respectively).CONCLUSION:
The BSA, CO, and age are significantly correlated with the CT number of the popliteal artery on LE-CTA.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Popliteal Artery
/
Body Surface Area
/
Body Weight
/
Angiography
/
Cardiac Output
/
Tomography, X-Ray Computed
/
Body Mass Index
/
Lower Extremity
/
Body Size
/
Informed Consent
Limits:
Humans
Language:
English
Journal:
Korean Journal of Radiology
Year:
2018
Type:
Article
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