CC BY-NC-ND 4.0 · Thorac Cardiovasc Surg 2024; 72(02): 126-133
DOI: 10.1055/s-0043-57026
Original Cardiovascular

Computed Tomography Scan of the Aorta to Predict Type B Aortic Dissection

Han Lee
1   Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
2   Institute of Cardiothoracic Vascular Disease, Nanjing University, Nanjing, Jiangsu, China
,
Qing Zhou
1   Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
2   Institute of Cardiothoracic Vascular Disease, Nanjing University, Nanjing, Jiangsu, China
,
Haitao Zhang
1   Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
,
Min Jin
3   Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China
,
XinLong Tang
1   Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
,
Kai Li
3   Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China
,
Tayierjiang Tuoerxun
4   Department of Cardiothoracic Surgery, Nanjing University, Nanjing, Jiangsu, China
› Author Affiliations
Funding Funding for Clinical Trials from the Affiliated Hospital, Medical School of University 2022-LCYJ-PY-50.

Abstract

Background The purpose of this study is to find the high-risk morphological features in type B aortic dissection (TBAD) population and to establish an early detection model.

Methods From June 2018 to February 2022, 234 patients came to our hospital because of chest pain. After examination and definite diagnosis, we excluded people with previous cardiovascular surgery history, connective tissue disease, aortic arch variation, valve malformation, and traumatic dissection. Finally, we included 49 patients in the TBAD group and 57 in the control group. The imaging data were retrospectively analyzed by Endosize (Therevna 3.1.40) software. The aortic morphological parameters mainly include diameter, length, direct distance, and tortuosity index. Multivariable logistic regression models were performed and systolic blood pressure (SBP), aortic diameter at the left common carotid artery (D3), and length of ascending aorta (L1) were chosen to build a model. The predictive capacity of the models was evaluated through the receiver operating characteristic (ROC) curve analysis.

Results The diameters in the ascending aorta and aortic arch are larger in the TBAD group (33.9 ± 5.9 vs. 37.8 ± 4.9 mm, p < 0.001; 28.2 ± 3.9 vs. 31.7 ± 3.0 mm, p < 0.001). The ascending aorta was significantly longer in the TBAD group (80.3 ± 11.7 vs. 92.3 ± 10.6 mm, p < 0.001). Besides, the direct distance and tortuosity index of the ascending aorta in the TBAD group increased significantly (69.8 ± 9.0 vs. 78.7 ± 8.8 mm, p < 0.001; 1.15 ± 0.05 vs. 1.17 ± 0.06, p < 0.05). Multivariable models demonstrated that SBP, aortic diameter at the left common carotid artery (D3), and length of ascending aorta (L1) were independent predictors of TBAD occurrence. Based on the ROC analysis, area under the ROC curve of the risk prediction models was 0.831.

Conclusion Morphological characteristic including diameter of total aorta, length of ascending aorta, direct distance of ascending aorta, and tortuosity index of ascending aorta are valuable geometric risk factors. Our model shows a good performance in predicting the incidence of TBAD.

Authors' Contribution

Conception and design of the work, corresponding author: Z.Q.; data collection: L.K., T.T., J.M.; statistical analysis: Z.H.; analysis and interpretation of the data: T.X.; drafting the manuscript: L.H.; critical revision of the manuscript: L.H.




Publication History

Received: 20 November 2022

Accepted: 13 March 2023

Article published online:
03 May 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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