BACKGROUND: Time-resolved, three-dimensional phase-contrast magnetic resonance imaging (4D flow MRI) plays an important role in assessing cardiovascular diseases. However, the manual or semi-automatic segmentation of aortic vessel boundaries in 4D flow data introduces variability and limits reproducibility of aortic hemodynamics visualization and quantitative flow-related parameter computation. This paper explores the potential of deep learning to improve 4D flow MRI segmentation by developing models for automatic segmentation and analyzes the impact of the training data on the generalization of the model across different sites, scanner vendors, sequences, and pathologies.
METHODS: The study population consists of 260 4D flow MRI datasets, including subjects without known aortic pathology, healthy volunteers, and patients with bicuspid aortic valve (BAV) examined at different hospitals. The dataset was split to train segmentation models on subsets with different representations of characteristics such as pathology, gender, age, scanner model, vendor, and field strength. An enhanced 3D U-net convolutional neural network (CNN) architecture with residual units was trained for 2D+t aortic cross-sectional segmentation. The model performance was evaluated using Dice score, Hausdorff distance, and average symmetric surface distance on test data, datasets with characteristics not represented in the training set (model-specific), and an overall evaluation set. Standard diagnostic flow parameters were computed and compared with manual segmentation results using Bland-Altman analysis and interclass correlation.
RESULTS: The representation of technical factors such as scanner vendor and field strength in the training dataset had the strongest influence on the overall segmentation performance. Age had a greater impact than gender. Models solely trained on BAV patients\' datasets performed well on datasets of healthy subjects but not vice versa.
CONCLUSIONS: This study highlights the importance of considering a heterogeneous dataset for the training of widely applicable automatic CNN segmentations in 4D flow MRI, with a particular focus on the inclusion of different pathologies and technical aspects of data acquisition.

UNASSIGNED: Total arch replacement (TAR) and debranching plus thoracic endovascular aortic repair (TEVAR) serve as significant therapeutic options for aortic arch pathologies. It remains unclear whether one of these approaches should be considered preferable. Our study aimed to compare the long-term outcomes of these 2 approaches.
UNASSIGNED: We carried out a pooled meta-analysis of time-to-event data extracted from studies published by December 2023. Eligibility criteria included populations with any aortic arch pathology who underwent debranching plus TEVAR or TAR, propensity score-matched (PSM) studies (prospective/retrospective; single-center/multicentric), and the outcomes included follow-up for overall survival/mortality and/or reinterventions.
UNASSIGNED: Eleven PSM studies met our eligibility criteria, including a total of 1142 patients (571 matched pairs). We did not observe any statistically significant difference in the risk of all-cause death between the groups (hazard ratio [HR]=1.20, 95% confidence interval [CI]=0.91-1.56, p=0.202), but patients who underwent TAR had a significantly lower risk of late aortic reinterventions compared with patients who underwent debranching plus TEVAR (HR=0.38, 95% CI=0.23-0.64, p<0.001). Our meta-regression analyses for all-cause mortality identified statistically significant coefficients for age (coefficient=-0.047; p=0.012) and type A aortic dissections (coefficient=0.012; p=0.010).
UNASSIGNED: Debranching plus TEVAR and TAR demonstrate no statistically significant differences in terms of survival in patients with aortic arch pathologies, but TAR is associated with lower risk of late aortic reinterventions over time. Although older patients may benefit more from debranching plus TEVAR rather than from TAR, patients with dissections may benefit more from TAR.
CONCLUSIONS: Although the 2 strategies seem to be equally valuable in terms of survival, total aortic arch replacement (when compared with debranching plus TEVAR to treat patients with aortic arch pathologies) is associated with reduction of late aortic reinterventions over time in patients with and without aortic dissections. However, we should consider debranching plus TEVAR in older patients as it is associated with lower risk of death in this population. The novelty of our study lies in the fact that, instead of comparing study-level effect estimates, we analyzed the outcomes with reconstructed time-to-event data. This offered us the opportunity of performing our analyses with a mathematically appropriate model which consider events and time; however, these findings might be under the influence of treatment allocation bias.

OBJECTIVE: Segmenting the aorta into zones based on anatomical landmarks is a current trend to better understand interventions for aortic dissection or aneurysm. However, comprehensive reference values for aortic zones are lacking. The aim of this study was to establish reference values for aortic size using a fully automated deep learning based segmentation method.
METHODS: This retrospective study included 704 healthy adults (mean age 50.6 ± 7.5 years; 407 [57.8%] males) who underwent contrast enhanced chest computed tomography (CT) for health screening. A convolutional neural network (CNN) was trained and applied on 3D CT images for automatic segmentation of the aorta based on the Society for Vascular Surgery/Society of Thoracic Surgeons classification. The CNN generated masks were reviewed and corrected by expert cardiac radiologists.
RESULTS: Aortic size was significantly larger in males than in females across all zones (zones 0 - 8, all p < .001). The aortic size in each zone increased with age, by approximately 1 mm per 10 years of age, e.g., 25.4, 26.7, 27.5, 28.8, and 29.8 mm at zone 2 in men in the age ranges of 30 - < 40, 40 - < 50, 50 - < 60, 60 - < 70, and ≥ 70 years, respectively (all p < .001).
CONCLUSIONS: The deep learning algorithm provided reliable values for aortic size in each zone, with automatic masks comparable with manually corrected ones. Aortic size was larger in males and increased with age. These findings have clinical implications for the detection of aortic aneurysms or other aortic diseases.

UNASSIGNED: Thoracic aortic aneurysms are often an accidental finding and result from a degenerative process. Medical therapy includes pharmacological control of arterial hypertension and smoking cessation, that slows the growth of aneurysms. An association between the dilatation of the ascending and abdominal aorta has been already reported. The aim of the study was to identify possible demographic and clinical factors that may implicate further imaging diagnostics in patients with ascending aorta dilatation.
UNASSIGNED: There were 181 (93 (53%) males and 88 (47%) females) patients with a median age of 54 (41-62) years who underwent cardiac magnetic resonance due to non-vascular diseases, were enrolled into retrospective analysis.
UNASSIGNED: Multivariable analysis revealed ascending aorta dilatation (odds ratios (OR) = 7.45, 95% confidence interval (CI): 1.98-28.0, p = 0.003) and co-existence of coronary artery disease (OR = 8.68, 95% CI: 2.15-35.1, p = 0.002) as significant predictors for thoracic descending aorta dilatation. In patients with abdominal aorta dilatation, the multivariable analysis showed a predictive value of ascending aortic dilatation (OR = 14.8, 95% CI: 2.36-92.8, p = 0.004) and age (OR = 1.04, 95% CI: 1.00-1.08, p = 0.027). In addition, cut-off values were established for age groups determining the risk of thoracic aorta dilatation over 49 years and abdominal aorta dilatation over 54 years.
UNASSIGNED: The results of our analysis showed predictive factors, including ascending aorta dilatation and co-existence of coronary artery disease, particularly over 49 years of age for thoracic, while ascending aorta dilatation and age, particularly over 54 years, for abdominal aorta dilatation. These features may be considered to increase clinical vigilance in patients with aortic diameter abnormalities.

UNASSIGNED: Large-scale investigations on ascending aortic diameter, especially in the Asian population, are lacking. Furthermore, relevant evidence regarding the distribution of hypertension (HP), bicuspid aortic valve (BAV), and Marfan syndrome (MFS) is scarce. We aimed to examine the distribution of ascending aortic diameter in these populations in China.
UNASSIGNED: The data of a total number of 698 795 individuals who underwent cardiac ultrasound were subjected to retrospective analysis. After screening, 647 087 individuals were included in the final analysis. In the normal population, the mean ascending aortic diameter was 28.1 ± 3.2 mm (27.2 ± 3.1 mm in women vs. 29.0 ± 3.1 mm in men) (P < 0.001). Aortic diameter increased gradually with age (P < 0.001). The prevalence of aortic dilation, aneurysm, and dissection in individuals with HP was 12.83%, 2.70%, and 4.77%, respectively. In individuals with MFS, the corresponding rates were 43.92%, 35.31%, and 26.11%. Notably, although BAV patients had high incidences of aortic dilation (37.00%) and aortic aneurysm (16.46%), the incidence of aortic dissection was relatively low (0.74%). Most cases of aortic dissection occurred at an aortic diameter of less than 55 mm. However, in the overall population, the incidence of aortic dissection significantly increased with the increase in the aortic diameter, revealing the existence of an \'aortic paradox\'.
UNASSIGNED: (i) The ascending diameter increases with age and is larger in men than in women; (ii) \'Aortic paradox\' is explained; (iii) BAV bears a high rate of aortic dilation, but a low incidence of aortic dissection.

Cannulation strategies in aortic arch surgeries are a matter of immense discussion. Majority of time deep hypothermic circulatory arrest (DHCA) is the way out, but it does come with its set of demerits. Here we demonstrate a case with aortic arch dissection dealt with dual cannulation strategy in axillary and femoral artery without need for DHCA and ensuring complete neuroprotection of brain and spinal cord without hinderance of time factor. Inception of new ideas like this may decrease the need for DHCA and hence its drawbacks, thus decreasing the morbidity and mortality associated.

BACKGROUND: Increased diameters of the aorta are associated with increased mortality risk. In the present analyses, we assessed whether aortic diameters are associated with cardiovascular and all-cause mortality in community-dwelling individuals free of known cardiovascular disease (CVD).
METHODS: MRI-derived vascular parameters of the thoracic and abdominal aorta from 2668 participants (median age = 53 years; 51.1% women) of the population-based SHIP-START-2 and SHIP-TREND-0 cohorts without CVD were analyzed. Age- and sex-adjusted, as well as multivariable-adjusted Cox-proportional hazard models, were used to estimate associations of diameters of six different aortic segments to mortality.
RESULTS: Over a median follow-up time of 10.6 years (IQR: 8.7; 12.4), a total of 188 participants (126 men and 62 women) died, of which 38 deaths were due to CVD. In unadjusted models, mortality rates were higher in participants with aortic diameters above the median compared to below the median for all investigated aortic sections (all log-rank p < 0.001). In multivariable-adjusted models, the diameters of the ascending thoracic aorta (HR = 1.34 95% CI: 1.04; 1.72, p = 0.022) and of the infrarenal aorta (HR = 3.75 95% CI: 1.06; 13.3, p = 0.040), modeled continuously, were associated with greater cardiovascular mortality. The diameter of the subphrenic aorta was associated with higher cardiovascular mortality only in the age and sex-adjusted model (HR = 3.65 95% CI: 1.01; 13.3, p = 0.049). None of the investigated aortic segments were associated with all-cause mortality.
CONCLUSIONS: Non-indexed diameters of the ascending thoracic and infrarenal aorta were associated with higher cardiovascular mortality but not with all-cause mortality in a population sample free of clinically overt CVD at baseline.
CONCLUSIONS: Increased aortic diameter is associated with cardiovascular mortality and can help to identify high-risk patients.
CONCLUSIONS: Increased aortic diameter is associated with mortality. Non-indexed diameters of the ascending and infrarenal aorta are associated with cardiovascular mortality but not all-cause mortality. Aortic diameter measurements support the estimate of cardiovascular mortality.

Aortic stenosis is associated with aortic plaques in up to 85% of cases because they share risk factors and pathogenic pathways. Intrinsically, complex aortic plaques carry a high risk of stroke, which has also been demonstrated in the context of aortic stenosis, especially in patients who underwent percutaneous or surgical replacement. Transesophageal echocardiography (TEE) is the imaging test of choice to detect plaques in the thoracic aorta and classify them as complex plaques. Furthermore, the 3D modality allows us to better specify its dimensions and anatomical characteristics, such as added thrombi or the presence of ulcers inside. This review aims to evaluate the use of TEE to detect complex aortic plaques in patients with an indication for percutaneous or surgical aortic valve replacement. To highlight the association between aortic stenosis and complex aortic plaques, we attached to the review some TEE studies from our experience.
La estenosis aórtica se asocia con placas aórticas hasta en un 85% de los casos, porque comparten factores de riesgo y vías patogénicas. Intrínsecamente, las placas aórticas complejas conllevan un alto riesgo de accidente cerebrovascular, lo que también se ha demostrado en el contexto de estenosis aórtica, especialmente en pacientes sometidos a reemplazo percutáneo o quirúrgico. La ecocardiografía transesofágica (ETE) es la prueba de imagen de elección para detectar placas en la aorta torácica y clasificarlas como placas complejas. Además, la modalidad 3D nos permite precisar mejor sus dimensiones y características anatómicas como trombos añadidos o la presencia de úlceras en su interior. Esta revisión tiene como objetivo evaluar el uso de ETE para detectar placas aórticas complejas en pacientes con indicación de reemplazo valvular aórtico percutáneo o quirúrgico. Para resaltar la asociación de estenosis aórtica y placas aórticas complejas adjuntamos a la revisión algunos estudios de ETE de nuestra experiencia.

OBJECTIVE: The objective of this study is to investigate and address the question surrounding the determination of the optimal endograft length of coverage during TEVAR for type B aortic dissection (TBAD), with a particular emphasis on the distal landing zone (DLZ).
METHODS: MEDLINE, Scopus, and Web of Science databases were used.
METHODS: The PRISMA-ScR statement was followed.
RESULTS: Several variables can contribute to the length of coverage during TEVAR in TBAD patient. Baseline patient\'s characteristics, TBAD-related features, the type of endoprosthesis, and postoperative graft behaviour may contribute to the choice of coverage.
CONCLUSIONS: No robust data have been published regarding the optimal length of TEVAR. Therefore, reporting the percentage of covered aorta and improving computational studies should be valorised to improve postoperative outcomes.

BACKGROUND: The occurrence of type II endoleaks after endovascular repair of aortic aneurysm has gradually gained increasing attention. We present a case of a patient with an expanding aneurysm after thoracic endovascular aortic repair (TEVAR) for a type II endoleak, in which successful direct ligations of the intercostal artery were performed using a sac incision without cardiopulmonary bypass (CPB) or graft replacement.
METHODS: A 62-year-old male patient, previously treated with TEVAR for a descending thoracic aortic aneurysm, presented with ongoing chest discomfort. Based on the diagnosis of a growing aneurysm and type II endoleak, the patient was prepared for CPB and aortic cross-clamping, as a precautions against the possibility of a type I endoleak. A longitudinal opening of the thoracic aortic aneurysm sac was performed following left thoracotomy. Visual confirmation identified the T5 level intercostal artery as the source of the endoleak, and after confirming the absence of a type I endoleak, multiple ligations were applied to the intercostal artery. Follow-up computed tomography confirmed the absence of endoleaks or sac growth.
CONCLUSIONS: In a case involving TEVAR for a thoracic aortic aneurysm, open suture ligations were used to treat type II endoleaks without having to resort to CPB, resulting in successful outcomes.