A simple patient-tailored aortic arch tangential angle measuring method to achieve better clinical results for thoracic endovascular repair of type B aortic dissection

Wang, Lixin; Huang, Kai; Xu, Xiaowu; Chen, Bin; Jiang, Junhao; Shi, Zhenyu; Tang, X.; Guo, Daqiao; Fu, Weiguo

doi:10.21037/jtd.2018.03.72

Cited by 4 publications

(3 citation statements)

References 28 publications

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“…As the aorta is a pipeline, most clinicians use the aortic centerline as the target of clinical intervention ( 17 , 27 – 29 ). The centerline of the aorta can preserve the geometric morphological characteristics of the aorta and minimize the influence of other factors such as vascular branches and aortic diameter by using geometric mathematical methods ( 30 ).…”

Section: Discussionmentioning

confidence: 99%

“…In the practice of vascular surgery in our daily work, the expanded aortic morphology from two-dimensional (2D) plane provides practical information for surgical planning. The intrathoracic spatial shape of the aorta is streamlining like “?,” and the 2D image is generally regarded as the most instructive morphology for its superior performance in the unfolded state of the aorta ( 17 , 18 ). Aortic view is defined as naked-eye recognition for a 2D plane image of the aorta ( 19 ).…”

Section: Introductionmentioning

confidence: 99%

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A stable and quantitative method for dimensionality reduction of aortic centerline

Peng

Qiu

et al. 2022

Front. Cardiovasc. Med.

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Aortic dissection (AD) is a fatal aortic disease with high mortality. Assessing the morphology of the aorta is critical for diagnostic and surgical decisions. Aortic centerline projection methods have been used to evaluate the morphology of the aorta. However, there is a big difference between the current model of primary plane projection (PPP) and the actual shape of individuals, which is not conducive to morphological statistical analysis. Finding a method to compress the three-dimensional information of the aorta into two dimensions is helpful to clinical decision-making. In this paper, the evaluation parameters, including contour length (CL), enclosure area, and the sum of absolute residuals (SAR), were introduced to objectively evaluate the optimal projection plane rather than artificial subjective judgment. Our results showed that the optimal projection plane could be objectively characterized by the three evaluation parameters. As the morphological criterion, SAR is optimal among the three parameters. Compared to the optimal projection plane selected by traditional PPP, our method has better AD discrimination in the analysis of aortic tortuosity, and is conducive to the clinical operation of AD. Thus, it has application prospects for the preprocessing techniques for the geometric morphology analysis of AD.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A stable and quantitative method for dimensionality reduction of aortic centerline

Peng

Qiu

et al. 2022

Front. Cardiovasc. Med.

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“…1 , the aortic view provides the largest unfolding shape and is the easiest in which to observe a morphological change. In fact, the aortic view has been recognized as the most accurate direction for observing the 2D centerlines in surgical planning and has been widely applied in daily clinical practice [ 44 , 45 ]. Moreover, compared with 3D centerlines, which require high-priced reconstruction and analysis tools 4 , 2D centerlines can be easily drawn using existing standard CT reconstruction software with little additional cost and thus are accessible to a much larger population.…”

Section: Methodsmentioning

confidence: 99%

Prescreening and treatment of aortic dissection through an analysis of infinite-dimension data

Qiu

Liu

et al. 2021

BioData Mining

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Background Aortic dissection (AD) is one of the most catastrophic aortic diseases associated with a high mortality rate. In contrast to the advances in most cardiovascular diseases, both the incidence and in-hospital mortality rate of AD have experienced deviant increases over the past 20 years, highlighting the need for fresh prospects on the prescreening and in-hospital treatment strategies. Methods Through two cross-sectional studies, we adopt image recognition techniques to identify pre-disease aortic morphology for prior diagnoses; assuming that AD has occurred, we employ functional data analysis to determine the optimal timing for BP and HR interventions to offer the highest possible survival rate. Results Compared with the healthy control group, the aortic centerline is significantly more slumped for the AD group. Further, controlling patients’ blood pressure and heart rate according to the likelihood of adverse events can offer the highest possible survival probability. Conclusions The degree of slumpness is introduced to depict aortic morphological changes comprehensively. The morphology-based prediction model is associated with an improvement in the predictive accuracy of the prescreening of AD. The dynamic model reveals that blood pressure and heart rate variations have a strong predictive power for adverse events, confirming this model’s ability to improve AD management.

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Assessment of Aortic Arch Morphology for Endovascular Interventions

Tasdemir¹,

Cihan

Yasin

2022

Preprint

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Introduction : The aim of this study was to retrospectively classify the aorta according to the location of the supra-aortic vessels and analyze the aortic arch angle and angulation of supra-aortic branches on Multidetector Computed Tomography (MDCT) images, and contribute relevant data to the literature for use by interventional radiologists, neurologists, and cardiovascular and head-neck surgeons. Our secondary aim was to support the development of the “custom-made” thoracic stent grafts with the help of new data from the current study. Materials and Methods A total of 311 images (from 141 females and 170 males) that best suited our purpose were selected through archive screening. After creating three-dimensional reconstructions of the MDCT images, the aortic arch was divided into types according to the location of the brachiocephalic trunk. All images were viewed in the oblique coronal plane, where the angulation of the aortic arch and its branches can be best seen and measurements were obtained. Aortic arch types and angles were examined by age and sex. Results When the sex distribution of the aortic arch types was examined, Type 2 aortic arch was more common in males and Type 1 was more common in females. Regarding the age distribution of the aortic arch types, Types 1c and 2d were found only in the 18–44 age group and Types 3a and 3b were only detected in individuals over the age of 65. These findings suggest that aortic arch configuration changes with advancing age. Analysis of the relationship between age and vessel angulation showed only a weak positive correlation between age and aortic arch angle. Aortic arch angle showed a weak negative correlation with the angulation of supra-aortic vessels but a weak positive correlation was found among the angles of supra-aortic branches (p < 0.05; r < 0.4). A significant difference between sexes was observed in terms of the left subclavian artery angle and left common carotid artery angle, which were greater in males than in females (p < 0.05). Conclusion Variations in the angulation of the aortic arch and supra-aortic branches may trigger stroke by causing hemodynamic abnormalities. We believe that our findings may help the design of endograft used for endovascular arch repair.

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A simple patient-tailored aortic arch tangential angle measuring method to achieve better clinical results for thoracic endovascular repair of type B aortic dissection

Abstract: It is easy to apply this patient-tailored θ-AATA measuring method in clinical practice. This more precise measurement is benefit for more reasonable treatment strategy planning, more precise deployment, and therefore a better outcome.

Cited by 4 publications

References 28 publications

A stable and quantitative method for dimensionality reduction of aortic centerline

A stable and quantitative method for dimensionality reduction of aortic centerline

Prescreening and treatment of aortic dissection through an analysis of infinite-dimension data

Assessment of Aortic Arch Morphology for Endovascular Interventions

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