Stanford a型主动脉夹层的计算机断层成像特征预测院内破裂。

IF 2.1 3区 医学 Q3 RESPIRATORY SYSTEM
Journal of thoracic disease Pub Date : 2025-04-30 Epub Date: 2025-04-28 DOI:10.21037/jtd-24-1702
Jia-Rong Ma, Pian-Pian Yan, Sheng-Wen Guo, Xi-Jie Wu
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引用次数: 0

摘要

背景:主动脉破裂是Stanford 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成像特征,可以提高其准确性和灵敏度。本研究旨在确定TAAD患者住院主动脉破裂的潜在影像学危险因素。方法:我们对2020年1月至2021年5月在厦门市心血管医院接受治疗的TAAD病例进行回顾性横断面研究。最初共有45名患者入组;但未在厦门市心血管医院行ct血管造影(CTA)的患者14例,影像质量差的患者1例被排除在外。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、CTA和重建图像的形态学特征。结果:主动脉破裂占保守治疗TAAD患者住院死亡的82%(14/17)。破裂的患者假腔分离的比例明显增加(P=0.04),假腔弧长明显增加(P=0.02),从窦管交界处到乳糜干起点的距离明显增加(P=0.02)。单因素logistic回归分析发现2个危险因素:弧长≥130 mm(优势比=5.78;95%置信区间:1.12-29.85;P=0.04),从窦管交界处到腹腔干起点的中心线距离≥391 mm(优势比=11;95%置信区间:2-60.57;P = 0.006)。结论:计算机断层成像观察到的形态学特征可以作为TAAD患者主动脉破裂风险的有价值的预测指标。将这些特征纳入预测模型可以改善风险分层,允许对破裂风险最高的患者进行早期手术干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computed tomography imaging features in Stanford type-A aortic dissection predict in-hospital rupture.

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.

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来源期刊
Journal of thoracic disease
Journal of thoracic disease RESPIRATORY SYSTEM-
CiteScore
4.60
自引率
4.00%
发文量
254
期刊介绍: The Journal of Thoracic Disease (JTD, J Thorac Dis, pISSN: 2072-1439; eISSN: 2077-6624) was founded in Dec 2009, and indexed in PubMed in Dec 2011 and Science Citation Index SCI in Feb 2013. It is published quarterly (Dec 2009- Dec 2011), bimonthly (Jan 2012 - Dec 2013), monthly (Jan. 2014-) and openly distributed worldwide. JTD received its impact factor of 2.365 for the year 2016. JTD publishes manuscripts that describe new findings and provide current, practical information on the diagnosis and treatment of conditions related to thoracic disease. All the submission and reviewing are conducted electronically so that rapid review is assured.
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