التفاصيل البيبلوغرافية
العنوان: |
Comparative Analysis of Micro-Computed Tomography and 3D Micro-Ultrasound for Measurement of the Mouse Aorta. |
المؤلفون: |
Alenezi, Hajar A., Hemmings, Karen E., Kandavelu, Parkavi, Koch-Paszkowski, Joanna, Bailey, Marc A. |
المصدر: |
Journal of Imaging; Jun2024, Vol. 10 Issue 6, p145, 15p |
مصطلحات موضوعية: |
AORTA, TOMOGRAPHY, AORTIC aneurysms, VOLUME measurements, SUDDEN death |
الشركة/الكيان: |
UNITED States. Congress. Senate |
مستخلص: |
Aortic aneurysms, life-threatening and often undetected until they cause sudden death, occur when the aorta dilates beyond 1.5 times its normal size. This study used ultrasound scans and micro-computed tomography to monitor and measure aortic volume in preclinical settings, comparing it to the well-established measurement using ultrasound scans. The reproducibility of measurements was also examined for intra- and inter-observer variability, with both modalities used on 8-week-old C57BL6 mice. For inter-observer variability, the μCT (micro-computed tomography) measurements for the thoracic, abdominal, and whole aorta between observers were highly consistent, showing a strong positive correlation (R2 = 0.80, 0.80, 0.95, respectively) and no significant variability (p-value: 0.03, 0.03, 0.004, respectively). The intra-observer variability for thoracic, abdominal, and whole aorta scans demonstrated a significant positive correlation (R2 = 0.99, 0.96, 0.87, respectively) and low variability (p-values = 0.0004, 0.002, 0.01, respectively). The comparison between μCT and USS (ultrasound) in the suprarenal and infrarenal aorta showed no significant difference (p-value = 0.20 and 0.21, respectively). μCT provided significantly higher aortic volume measurements compared to USS. The reproducibility of USS and μCT measurements was consistent, showing minimal variance among observers. These findings suggest that μCT is a reliable alternative for comprehensive aortic phenotyping, consistent with clinical findings in human data. [ABSTRACT FROM AUTHOR] |
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قاعدة البيانات: |
Complementary Index |