Haikuo Peng¹, Yun Tan^1,*, Hao Tang², Ling Tan², Xuyu Xiang¹, Yongjun Wang², Neal N. Xiong³

CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2757-2771, 2022, DOI:10.32604/cmc.2022.029727 - 16 June 2022

Abstract Aortic dissection (AD) is one of the most serious diseases with high mortality, and its diagnosis mainly depends on computed tomography (CT) results. Most existing automatic diagnosis methods of AD are only suitable for AD recognition, which usually require preselection of CT images and cannot be further classified to different types. In this work, we constructed a dataset of 105 cases with a total of 49021 slices, including 31043 slices expert-level annotation and proposed a two-stage AD diagnosis structure based on sequence information and deep learning. The proposed region of interest (RoI) extraction algorithm based More >

Qingzhuo Chi¹, Huimin Chen¹, Shiqi Yang¹, Lizhong Mu^1,*, Changjin Ji², Ying He¹, Yong Luan³

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 31-47, 2022, DOI:10.32604/cmes.2022.018286 - 24 January 2022

Abstract Cardiovascular computational fluid dynamics (CFD) based on patient-specific modeling is increasingly used to predict changes in hemodynamic parameters before or after surgery/interventional treatment for aortic dissection (AD). This study investigated the effects of flow boundary conditions (BCs) on patient-specific aortic hemodynamics. We compared the changes in hemodynamic parameters in a type A dissection model and normal aortic model under different BCs: inflow from the auxiliary and truncated structures at aortic valve, pressure control and Windkessel model outflow conditions, and steady and unsteady inflow conditions. The auxiliary entrance remarkably enhanced the physiological authenticity of numerical simulations… More >

Ling Tan¹, Yun Tan², Jiaohua Qin², Hao Tang^1,*, Xuyu Xiang², Dongshu Xie¹, Neal N. Xiong³

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2583-2598, 2021, DOI:10.32604/cmc.2021.017779 - 21 July 2021

Abstract During the COVID-19 pandemic, the treatment of aortic dissection has faced additional challenges. The necessary medical resources are in serious shortage, and the preoperative waiting time has been significantly prolonged due to the requirement to test for COVID-19 infection. In this work, we focus on the risk prediction of aortic dissection surgery under the influence of the COVID-19 pandemic. A general scheme of medical data processing is proposed, which includes five modules, namely problem definition, data preprocessing, data mining, result analysis, and knowledge application. Based on effective data preprocessing, feature analysis and boosting trees, our More >

Qingzhuo Chi¹, Huimin Chen¹, Lizhong Mu^1,*, Ying He¹, Yong Luan²

FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.4, pp. 721-743, 2021, DOI:10.32604/fdmp.2021.015200 - 17 May 2021

Abstract Type A aortic dissection (AD) is one of the most serious cardiovascular diseases, whose risk predictors are controversial. The purpose of this research was to investigate how elongation accompanied by dilation of the ascending aorta (AAo) affects the relevant haemodynamic characteristics using image-based computational models. Five elongated AAos with different levels of dilation have been reconstructed based on the centerlines data of an elderly and an AD patient. Numerical simulations have been performed assuming an inflow waveform and a Windkessel model with three elements for all outflow boundaries. The numerical results have revealed that the More >

Yun Tan^{1, #}, Ling Tan^{2, #}, Xuyu Xiang^{1, *}, Hao Tang^{2, *}, Jiaohua Qin¹, Wenyan Pan¹

CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1201-1215, 2020, DOI:10.32604/cmc.2020.07127

Abstract Aortic dissection (AD) is a kind of acute and rapidly progressing cardiovascular disease. In this work, we build a CTA image library with 88 CT cases, 43 cases of aortic dissection and 45 cases of health. An aortic dissection detection method based on CTA images is proposed. ROI is extracted based on binarization and morphology opening operation. The deep learning networks (InceptionV3, ResNet50, and DenseNet) are applied after the preprocessing of the datasets. Recall, F1-score, Matthews correlation coefficient (MCC) and other performance indexes are investigated. It is shown that the deep learning methods have much More >

Zhenxia Mu¹, Xiaofei Xue¹, Minrui Fu¹, Dawei Zhao¹, Bin Gao¹, Yu Chang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.3, pp. 929-945, 2019, DOI:10.32604/cmes.2019.07627

Abstract In this work, the hemodynamic effects of the type-A aortic dissection in different entry and covering entry tear positions were mainly studied. It provides a new method or idea in the field of the aortic dissection hemodynamics, and it is of profound significance to provide basic theoretical research on the development of aortic dissection in the aspect of clinical judgment. Two type-A aortic dissection models with different entry tear positions (Model 1: The entry tear was located at the entrance of the ascending aorta, Model 2: The entry tear was located at the starting position… More >

Zhuanyuan Meng¹, Tao Ma², Zhihui Dong², Shengzhang Wang^1,*, Weiguo Fu²

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 60-60, 2019, DOI:10.32604/mcb.2019.07253

Abstract Thoracic endovascular aortic repair has been widely applied to treat Stanford Type B aortic dissection. However, retrograde type A dissection can occur as a complication after thoracic endovascular repair for Stanford type B aortic dissection. In order to investigated the possible mechanical reasons of the new entry occurring when stent grafts were implanted into the true lumen of one type B aortic dissection, a framework of virtual implantation of stent-graft by using finite element simulations was developed in this paper. The animal experiments were adopted to verify the finite element simulation of stent-graft implantation. Moreover,… More >

Da Li^1,#, Liqing Peng^2,#, Yi Wang³, Ding Yuan⁴, Tinghui Zheng^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 39-39, 2019, DOI:10.32604/mcb.2019.05718

Abstract Objective: Thoracic endovascular aortic repair (TEVAR) of type B aortic dissection (AD) is to initiate the thrombosis in the false lumen to eventually result in aortic remodeling. We aim to find out whether the false lumen (FL) thrombosis rate after TEVAR can be predicted accurately by an index that expresses the degree of aortic arch angulation. Method: Three-dimensional aortic arch geometry of 39 type B AD patients (mean age: 48 years) after TEVR were reconstructed from post-operative CT images. For the first time, the question mark which takes into account the curvature of both aortic arch… More >

Zhuangyuan Meng¹, Tao Ma², Shengzhang Wang^1,*, Zhihui Dong^2,*, Weiguo Fu²

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 19-21, 2019, DOI:10.32604/mcb.2019.05706

Abstract This article has no abstract. More >

Katherine Smith, Bernard Gros

Congenital Heart Disease, Vol.12, No.3, pp. 251-260, 2017, DOI:10.1111/chd.12465

Abstract A well-established association exists between acute aortic dissection and pregnancy, particularly in women with Marfan syndrome. However, there is debate regarding appropriate management guidelines. In particular, there are differing opinions regarding when prophylactic aortic root repair should be recommended as well as the efficacy of beta blockers in this clinical scenario. The current study evaluated 10 years of published literature (2005-2015) in the PubMed/Medline database. Fifty articles, describing 72 cases of women who presented with aortic dissection in the antepartum or postpartum period were identified. Comparisons on demographic variables and clinical outcomes between cases of… More >