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In this paper, we proposed a complete study method to achieve accurate aortic dissection diagnosis at the patient level. Based on the CT angiography (CTA) images, a classification model named DAT-DenseNet, which combined the deep attention Transformer module with the DenseNet architecture is proposed. In the first phase, two DAT-DenseNet are combined in parallel. It is used to accurately achieve two classification task at the CTA images. In the second stage, we propose a feature fusion module. It concatenates and fuses the image features output from the two classification models on a patient by patient basis. In the comparison experiments of classification model performance, DAT-DenseNet obtained 92.41 % accuracy at the image level, which was 2.20 % higher than the commonly used model. In the comparison experiments of model fusion method, our method obtained 90.83 % accuracy at the patient level. The experiments showed that DAT-DenseNet model exhibits high performance at the image level. Our feature fusion module achieves the mapping from two classification image features to patient outcomes. It achieves accurate patient classification. The experiments\' results in the Discussion section elaborate the details of the experiment and confirmed that the results were reliable.

UNASSIGNED: The rupture risk of intracranial aneurysms (IAs) is related to their arterial origin, but whether the different segments of the artery have different risks and act as independent risk factors is still unknown. Our study aimed to investigate the rupture risk of IAs in different arterial segments in a large Chinese cohort.
UNASSIGNED: Imaging and clinical data of consecutive patients with IAs diagnosed by Computed Tomography angiography (CTA) from January 2013 to December 2022 were collected. Two neuroradiologists independently identified ruptured and unruptured IAs based on imaging and medical records. The internal carotid artery (ICA), middle cerebral artery (MCA), anterior cerebral artery (ACA), vertebral artery (VA), and posterior cerebral artery (PCA) were segmented according to the Bouthillier and Fischer segmentation methods. Stenoses of the proximal parent vessel were evaluated and documented. The Institutional Review Board (IRB) at Beijing Tiantan Hospital approved this retrospective study.
UNASSIGNED: A total of 3,837 aneurysms {median size 3.5 mm [interquartile range (IQR) 2.6-5.1 mm]; 532 ruptured} were included in this study from 2,968 patients [mean age: 57 years (IQR 50-64); male patients: 1,153]. Ruptured aneurysms were most commonly located in the posterior inferior cerebellar artery (PICA) (52.9%), anterior communicating artery (ACoA) (33.8%), other locations (33.3%), ACA (22.4%), and basilar artery (BA) (21.4%). The locations with the highest likelihood of rupture were the C7 ICA (21.3%), M2 MCA (24.0%), distal MCA (25.0%), and A2 ACA (28.1%). IAs originating from the C7 (p < 0.001), dM1 (p = 0.022), and dA1 (p = 0.021) segments were independent risk factors for rupture. IAs without stenosis of the proximal parent vessel were associated with a higher risk of rupture (p = 0.023).
UNASSIGNED: There are unique associations between the origins of aneurysms from various arterial segments. Aneurysms originating from the anterior communicating artery (ACoA), BA, PICA, A2, dA, C7, and M2 indicate a higher risk of rupture. Aneurysms originating from C4, C5, and C6 indicate a lower risk of rupture. C7 IAs, ACoA IAs, and PICA IAs seem to be independent risk factors.

We report a rare 16-year-old male case of Klippel-Feil anomaly associated with fetal alcohol syndrome exhibiting complex congenital vascular anomalies. The congenital vascular anomalies observed were the absence of a left internal carotid artery, a left vertebral artery arising from the subclavian artery in a very high cervical location and a bovine arch. The vascular and vertebral anomalies were evaluated using CT and MRI before cervical surgery.

Peripheral arteriovenous malformations (AVMs) are rare vascular anomalies characterized by abnormal connections between arteries and veins that bypass the capillary system. This case report details a three-year-old female child who presented with an enlarging swelling on her knee\'s medial side. AVM was diagnosed using computed tomography (CT) angiography and surgically excised. The case highlights the importance of early detection and timely intervention of AVMs to prevent complications.

Objective:To introduce the surgical experience of carotid body tumor（CBT） resection with preservation of internal carotid artery. Methods:The clinical data of 109 patients with CBT were retrospectively analyzed. The key points of surgical techniques were summarized, the imaging and pathological results were comprehensively analyzed, and the postoperative complications were observed. Results:Of the 109 patients, 28 were Shamblin Ⅰ, 46 were Shamblin Ⅱ, and 35 were Shamblin Ⅲ. Synaptophysin（SYN） and soluble protein-100（S-100） were positive in all cases. There was a positive correlation between the average expression area percentage of S-100 and SYN in pathological tissue of 17 patients（r=0.48）, and the difference was statistically significant（P<0.05）. The average operation time was（148.4±46.2） minutes, the average intraoperative blood loss was（64.7±22.8） mL, and the average hospital stay was（15.2±2.6） days. Three patients underwent tumor resection combined with external carotid artery ligation, 1 patient underwent tumor resection combined with internal carotid artery ligation, and the remaining patients underwent tumor resection alone. The overall rate of intraoperative vascular ligation was 3.7% and the rate of nerve injury was 6.4%. According to preoperative CTA, intraoperative situation and postoperative pathological results, a new classification of CBT was proposed, which could intuitively reflect the gap between the tumor and the carotid artery and the nature of the tumor. Conclusion:Surgical resection of CBT is recommended after diagnosis. The potential gap between the tumor and the blood vessels was found under the microscope. Low energy bipolar electrocoagulation was used to coagulate and cut off the fibrous connective tissue between the tumor and gradually separated along the adventitia of the artery. The carotid artery could be preserved in most cases while the tumor was completely removed, and the amount of intraoperative bleeding and the incidence of complications were reduced. It is particularly important to identify the difficult cases before operation.
目的：介绍保留颈内动脉切除颈动脉体瘤（carotid body tumor，CBT）的手术经验。 方法：回顾性分析109例CBT患者的临床资料，总结手术技术要点，综合分析影像学及病理结果，观察患者术后并发症。 结果：109例患者中Shamblin Ⅰ型28例，Shamblin Ⅱ型46例，Shamblin Ⅲ型35例。突触素（SYN）和可溶性蛋白-100（S-100）均呈阳性。17例患者病理组织免疫组织化学S-100与SYN平均表达面积百分比存在正相关关系（r=0.48）差异有统计学意义（P<0.05）。手术平均时长为（148.4±46.2） min，术中平均出血量为（64.7±22.8） mL，住院平均时间为（15.2±2.6） d。所有患者手术方法均为显微凝切法，其中3例患者切除肿瘤合并颈外动脉结扎术，1例行肿瘤切除合并颈内动脉结扎术，其他患者均行单纯肿瘤切除术。总体术中血管结扎率为3.7%，神经损伤率为6.4%。根据术前CTA、术中情况及术后病理结果，对CBT提出新的分型，直观反映肿瘤与颈动脉的间隙以及肿瘤性质。 结论：建议确诊后手术切除CBT。显微镜下寻找肿瘤与血管之间的潜在间隙，运用低能量双极电凝凝闭并切断其间的纤维结缔组织，沿动脉外膜逐渐分离，在完整切除肿瘤同时大部分病例均可做到保留颈动脉，减少术中出血量，降低并发症发生率。术前如何识别手术困难病例尤为重要。.

Follow-up examinations using magnetic resonance imaging or digital subtraction angiography are mandatory after flow diverter treatment of cerebral aneurysms. However, flow diverter features metal artifacts on magnetic resonance imaging and ischemic complications with digital subtraction angiography. Ultra-high-resolution computed tomography systems have recently become available in clinical practice. The combined use of ultra-high-resolution computed tomography and a reconstruction technique called model-based iterative reconstruction is expected to replace follow-up magnetic resonance imaging and digital subtraction angiography of flow diverter placement. Here, we report a case of ultra-high-resolution computed tomography with model-based iterative reconstruction after flow diverter treatment.

Mycotic aneurysms and pseudoaneurysms, though rare, present significant diagnostic and therapeutic challenges. The case follows a 74-year-old male with a history of bladder cancer who developed multifocal mycotic aneurysms and pseudoaneurysms following sepsis. Initially misdiagnosed as a Pancoast tumor, imaging revealed an extensive disease involving the right subclavian artery, proximal descending thoracic aorta, infrarenal abdominal aorta, and right common iliac artery. This case highlights the importance of considering mycotic aneurysms in the differential diagnosis of patients with a history of infection and highlights the role of Computed Tomography Angiography in early diagnosis.

UNASSIGNED: Computed Tomography Angiography (CTA) is the first line of imaging in the diagnosis of Large Vessel Occlusion (LVO) strokes. We trained and independently validated end-to-end automated deep learning pipelines to predict 3-month outcomes after anterior circulation LVO thrombectomy based on admission CTAs.
UNASSIGNED: We split a dataset of 591 patients into training/cross-validation (n = 496) and independent test set (n = 95). We trained separate models for outcome prediction based on admission \"CTA\" images alone, \"CTA + Treatment\" (including time to thrombectomy and reperfusion success information), and \"CTA + Treatment  + Clinical\" (including admission age, sex, and NIH stroke scale). A binary (favorable) outcome was defined based on a 3-month modified Rankin Scale ≤ 2. The model was trained on our dataset based on the pre-trained ResNet-50 3D Convolutional Neural Network (\"MedicalNet\") and included CTA preprocessing steps.
UNASSIGNED: We generated an ensemble model from the 5-fold cross-validation, and tested it in the independent test cohort, with receiver operating characteristic area under the curve (AUC, 95% confidence interval) of 70 (0.59-0.81) for \"CTA,\" 0.79 (0.70-0.89) for \"CTA + Treatment,\" and 0.86 (0.79-0.94) for \"CTA + Treatment + Clinical\" input models. A \"Treatment + Clinical\" logistic regression model achieved an AUC of 0.86 (0.79-0.93).
UNASSIGNED: Our results show the feasibility of an end-to-end automated model to predict outcomes from admission and post-thrombectomy reperfusion success. Such a model can facilitate prognostication in telehealth transfer and when a thorough neurological exam is not feasible due to language barrier or pre-existing morbidities.

BACKGROUND: Due to the increasing incidence of ischaemic cerebrovascular diseases, the accurate assessment of internal carotid artery (ICA) stenosis is crucial for the development of treatment plans. This systematic review and meta-analysis aimed to evaluate the diagnostic value of computed tomography angiography (CTA) for severe ICAstenosis, thereby providing support for clinical decision-making and promoting diagnostic updates.
METHODS: The PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database for Chinese Technical Periodicals (VIP), and Chinese Biomedical Literature (CBM) electronic databases were searched from inception to March 21, 2024, to identify publicly available research literature on the use of CTA to diagnose severe ICA stenosis. Literature screening, data extraction, and quality assessment were conducted based on the inclusion and exclusion criteria as well as the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) standards. Data analysis was performed using Stata 17.0 and Meta-Disc 1.4 software. The sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of the included studies were calculated using Stata 17.0 software, and forest plots and summary receiver operating characteristic (SROC) curves were generated. The area under the curve (AUC) was calculated, and funnel plots were constructed to assess publication bias.
RESULTS: A total of 16 studies with 2368 vascular segments were included. The meta-analysis revealed that the combined sensitivity and specificity of CTA for severe ICA stenosis were 0.93 (95% CI: 0.88 ~ 0.96) and 0.99 (95% CI: 0.96 ~ 1.00), respectively. The combined positive likelihood ratio and negative likelihood ratio were 92.0 (95% CI: 24.2 ~ 349.6) and 0.07 (95% CI: 0.04 ~ 0.13), respectively. The diagnostic odds ratio was 1302 (95% CI: 257 ~ 6606), and the AUC of the SROC curve was 0.98. The Deeks funnel plot suggested no publication bias among the included studies.
CONCLUSIONS: CTA demonstrated high sensitivity and specificity for diagnosing severe ICA stenosis. Therefore, this study provided important evidence for the accurate diagnosis and treatment of severe ICA stenosis. However, there was considerable heterogeneity among the included studies, thus indicating the need for additional high-quality prospective studies to confirm the clinical applicability of CTA.