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斯坦福A型主动脉夹层的计算机断层扫描成像特征可预测院内破裂。

Computed tomography imaging features in Stanford type-A aortic dissection predict in-hospital rupture.

作者信息

Ma Jia-Rong, Yan Pian-Pian, Guo Sheng-Wen, Wu Xi-Jie

机构信息

Department of Anesthesiology, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.

Department of Cardiovascular Surgery, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.

出版信息

J Thorac Dis. 2025 Apr 30;17(4):2286-2294. doi: 10.21037/jtd-24-1702. Epub 2025 Apr 28.

Abstract

BACKGROUND

Aortic rupture is a leading cause of early mortality in patients with Stanford type A aortic dissection (TAAD). Current risk assessment models lack critical imaging features, which could enhance their accuracy and sensitivity. This study aimed to identify potential imaging-based risk factors for in-hospital aortic rupture in patients with TAAD.

METHODS

We conducted a retrospective cross-sectional study of TAAD cases treated medically between January 2020 and May 2021 at Xiamen Cardiovascular Hospital. A total of 45 patients were initially enrolled; however, 14 patients who did not undergo computed tomography angiography (CTA) at Xiamen Cardiovascular Hospital and 1 patient whose quality of image was poor were excluded. We analyzed clinical data, including basic characteristics, clinical presentations, and morphological features derived from CTA and reconstructed images for the remaining 30 patients.

RESULTS

Aortic rupture accounted for 82% (14/17) of in-hospital deaths among conservatively treated patients with TAAD. Patients who experienced rupture demonstrated a significantly higher proportion of dissected false lumen (P=0.04), a longer false lumen arc length (P=0.02), and an increased distance from the sinotubular junction to the origin of the celiac trunk (P=0.02). Single factor logistic regression analysis identified two risk factors: arc length ≥130 mm (odds ratio =5.78; 95% confidence interval: 1.12-29.85; P=0.04) and centerline distance from the sinotubular junction to the origin of the celiac trunk ≥391 mm (odds ratio =11; 95% confidence interval: 2-60.57; P=0.006).

CONCLUSIONS

Morphological features observed on computed tomography imaging can serve as valuable predictors for the risk of aortic rupture in patients with TAAD. Incorporating these features into predictive models could improve risk stratification, allowing for earlier surgical intervention in patients at the highest risk of rupture.

摘要

背景

主动脉破裂是斯坦福A型主动脉夹层(TAAD)患者早期死亡的主要原因。目前的风险评估模型缺乏关键的影像学特征,而这些特征可以提高其准确性和敏感性。本研究旨在确定TAAD患者院内主动脉破裂基于影像学的潜在风险因素。

方法

我们对2020年1月至2021年5月在厦门心血管病医院接受药物治疗的TAAD病例进行了一项回顾性横断面研究。最初共纳入45例患者;然而,排除了14例未在厦门心血管病医院接受计算机断层扫描血管造影(CTA)的患者以及1例图像质量较差的患者。我们分析了其余30例患者的临床资料,包括基本特征、临床表现以及从CTA和重建图像中得出的形态学特征。

结果

在接受保守治疗的TAAD患者中,主动脉破裂占院内死亡的82%(14/17)。发生破裂的患者显示出较高比例的夹层假腔(P = 0.04)、更长的假腔弧长(P = 0.02)以及从窦管交界到腹腔干起始处的距离增加(P = 0.02)。单因素逻辑回归分析确定了两个风险因素:弧长≥130 mm(比值比 = 5.78;95%置信区间:1.12 - 29.85;P = 0.04)以及从窦管交界到腹腔干起始处的中心线距离≥391 mm(比值比 = 11;95%置信区间:2 - 60.57;P = 0.006)。

结论

计算机断层扫描成像观察到的形态学特征可作为TAAD患者主动脉破裂风险的有价值预测指标。将这些特征纳入预测模型可改善风险分层,从而能够对破裂风险最高的患者进行更早的手术干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ef/12090109/09c7fa1f6dfa/jtd-17-04-2286-f1.jpg

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