Improving lower-extremity artery depiction and diagnostic confidence using dual-energy technique and popliteal artery monitoring in dual-low dose CT angiography.

Journal: Scientific reports
PMID:

Abstract

To assess the utility of dual-energy CT scanning (DECTs) with popliteal artery (PA) monitoring in dual low-dose (radiation and contrast) lower-extremity CT angiography (LE-CTA). 135 patients undergoing LE-CTA were prospectively included and divided into three groups of 45 each. Group-A: conventional scanning, 105 mL of contrast, abdominal aorta monitoring; Group-B: low-dose DECTs, 95 mL of contrast, AA monitoring; Group-C: low-dose DECTs, 85 mL of contrast, PA monitoring. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), as well as their elevations at seven arteries, were evaluated. Two radiologists conducted subjective assessments of overall image quality and vascular diagnosis in three arterial segments. They also recorded the visible branch grading in the lower-knee segment (LKS). Group-C reduced contrast and effective doses by 19.04% and 12.62%, respectively, compared to Group-A (P < 0.001). Group-C had the best SNR and CNR for four LKS arteries. Regarding SNR and CNR elevations, Group-C outperformed Group-B in distal arteries beyond the PA. In the LKS, Group-C performed best for subjective overall image quality, visible branch grading, and diagnostic confidence, as well as the inter-observer diagnostic consistency, followed by Group-B and Group-A (P < 0.001). DECTs with PA monitoring provides excellent depiction of lower-extremity arteries under dual low-dose conditions.

Authors

  • Wancui Mei
    Department of Radiology, Taihe Hospital, Hubei University of Medicine, No. 32, Renmin South Rd, Maojian District, Shiyan, 442000, Hubei, People's Republic of China.
  • Qian Tang
    Department of Radiology, Minda Hospital, Hubei Minzu University, Enshi, People's Republic of China.
  • Chengcheng Li
    Department of Ultrasound, Taihe Hospital, Hubei University of Medicine, Shiyan, People's Republic of China.
  • Sai Wang
    Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.
  • Qiqi Zhou
    Department of Radiology, Taihe Hospital, Hubei University of Medicine, No. 32, Renmin South Rd, Maojian District, Shiyan, 442000, Hubei, People's Republic of China.
  • Lin Xu
    Key Laboratory of Grain and Oil Processing and Food Safety of Sichuan Province, College of Food and Bioengineering, Xihua University Chengdu 610039 China xingyage1@163.com.
  • Suping Chen
    GE Healthcare, Computed Tomography Research Center, Beijing, 100176, People's Republic of China.
  • Chao Liu
    Anti-Drug Technology Center of Guangdong Province, National Anti-Drug Laboratory Guangdong Regional Center, Guangzhou 510230, China.
  • Wen Chen
    School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan, China.