使用光子计数CT血管学量化腹腔大动脉化:高风险心血管患者的成像生物标志物
Takashi Ota1, Atsushi Nakamoto2, Masatoshi Hori3
1Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, D1, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan. t-ota@radiol.med.osaka-u.ac.jp.
光子计数CT (PCCT) 虚拟非 (VNCa) 分析揭示了百分比化体积 (PCV) 作为心血管疾病 (CVD) 风险的强有力的成像生物标志物. 超过14.81%的PCV表明心血管疾病风险高,有助于早期识别和查.
科学领域:
- 心血管成像 - 心血管成像
- 放射学 放射学是一门学科.
- 生物标志物发现发现
背景情况:
- 心血管疾病 (CVD) 仍然是导致死亡的主要原因.
- 准确的风险分层对于及时干预至关重要.
- 需要新的成像生物标志物来识别高风险个体.
研究的目的:
- 评估来自3D体积分析的腹腔大动脉化参数,使用光子计数CT (PCCT) 血管学基于虚拟非 (VNCa) 算法.
- 评估这些参数作为高风险心血管疾病 (CVD) 患者的成像生物标志物的有用性.
主要方法:
- 对接受腹部PCCT血管造影和非对比增强胸部CT (nCE-CCT) 的患者的回顾性分析.
- 使用VNCa算法计算腹部化体积 (ACV) 和大动脉壁体积 (AWV).
- 根据nCE-CCT阿加斯顿得分,将患者分为低 (阿加斯顿得分≤100) 和高风险 (>100) 的心血管疾病组.
主要成果:
- 相关性分析显示,Agatston得分与ACV (0.75) 和PCV (0.78) 之间存在很强的关联.
- 百分比化体积 (PCV) 与ACV (0.90) 相比,在0.94的曲线下 (AUC) 显示出更高的面积.
- PCV表现出高特异性 (99.4%),截止值为14.81%,明显优于ACV.
结论:
- PCV>14.81%表明心血管疾病风险增加.
- 来自PCCT VNCa分析的PCV显示出作为识别高风险心血管疾病患者的成像生物标志物具有前途.
- 腹部CTA单独可能足以识别高风险心血管疾病患者,促使进一步查.
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