{"title":"Stanford a型主动脉夹层的计算机断层成像特征预测院内破裂。","authors":"Jia-Rong Ma, Pian-Pian Yan, Sheng-Wen Guo, Xi-Jie Wu","doi":"10.21037/jtd-24-1702","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":17542,"journal":{"name":"Journal of thoracic disease","volume":"17 4","pages":"2286-2294"},"PeriodicalIF":2.1000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12090109/pdf/","citationCount":"0","resultStr":"{\"title\":\"Computed tomography imaging features in Stanford type-A aortic dissection predict in-hospital rupture.\",\"authors\":\"Jia-Rong Ma, Pian-Pian Yan, Sheng-Wen Guo, Xi-Jie Wu\",\"doi\":\"10.21037/jtd-24-1702\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":17542,\"journal\":{\"name\":\"Journal of thoracic disease\",\"volume\":\"17 4\",\"pages\":\"2286-2294\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12090109/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of thoracic disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.21037/jtd-24-1702\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of thoracic disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/jtd-24-1702","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/28 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
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.
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.