Computed Tomography Angiography Scans Research Articles

Case Report: Surgical treatment of type B aortic dissection in an adult with double aortic arch

BackgroundDouble aortic arch (DAA) with type B aortic dissection in adults is a rare aortic vascular disease. The abnormal anatomical structure of the aortic arch in such patients presents significant challenges in the selection of surgical approaches, and there is a notable lack of exploration into endovascular repair approaches that simultaneously preserve asymptomatic vascular rings.Case descriptionA 43-year-old female patient was admitted due to recurrent chest and back pain lasting for over a month. Computed tomography angiography (CTA) indicated a double aortic arch anomaly with localized dissection of the descending aorta. Esophagography with barium swallow revealed vascular indentation on the upper and middle thoracic esophagus, with mild to moderate local narrowing. Based on a comprehensive preoperative evaluation of the imaging and the patient's clinical history, a thoracic endovascular aortic repair (TEVAR) procedure was performed. Considering that the deformity did not cause any clinical symptoms and that the vessel diameter and distance from the proximal anchoring area were sufficient, the posterior section of the dominant arch was chosen as the proximal anchorage zone, and a stent with proximal bare zone was deployed to maintain blood flow to the distal non-dominant arch and preserve the integrity of the vascular ring. Follow-up CTA scans at one- and six-month post-operation showed that the aortic stent was well-positioned, with no visible primary lesion. The patient reported complete resolution of chest pain and no difficulties with swallowing or breathing.ConclusionIn adult patients with DAA complicated by aortic dissection, the abnormal anatomy of the aortic arch poses significant challenges in making treatment decisions. After a comprehensive, multidimensional evaluation of the patient's medical history, CTA, and esophagography, we successfully performed TEVAR procedure. This case provides new insights into the surgical strategy for treating such rare conditions.

Prospective study on the localization of anterolateral thigh perforator vessel based on mixed reality and artificial algorithm.

This paper aims to construct a system integrating mixed reality technology with artificial algorithm and to evaluate its effectiveness in vascular localization during anterolateral thigh perforator flap surgery to provide new insights for clinical practice. Twenty patients undergoing anterolateral thigh perforator flap repair were selected. After attaching positioning devices on the lower limb, CT angiography (CTA) scans were performed. The 2D data obtained were converted into a 3D model of the positioning device and vessels. Mixed reality technology was utilized to achieve 3D visualization of perforator vessels. An artificial algorithm was developed in HoloLens 2 to match the positioning device automatically with its 3D model intraoperatively to overlap the perforator vessels with their 3D models. The number of perforator vessels identified within the flap harvesting area and the actual number detected during surgery were recorded to calculate the accuracy rate of vessel identification based on CTA data reconstruction. The distance between the perforator vessel exit points located by the system and the actual exit points was measured, and the error values were calculated. The surgical time required for the system to harvest the anterolateral thigh perforator flap was documented and compared with the surgical time required by conventional methods. The clinical applicability of the system was discussed. The CTA data reconstruction identified 30 perforator vessels, while the actual number found during surgery was 32, resulting in an identification accuracy rate of 93.75%. The average distance between the perforator vessel exit points located by the system and the actual exit points was (1.65±0.52) mm. The average surgical time for flap harvesting with the assistance of the system was (43.45±4.6) min compared with (57.6±7.9) min required by conventional methods. All perforator flaps survived the procedure. One case of flap infection occurred seven days postoperatively, and one case of partial flap necrosis was treated with symptomatic therapy, resulting in delayed healing. The system constructed in this paper can achieve 3D visualization of perforator vessels through mixed reality technology and improve the accuracy of perforator vessel localization using artificial algorithms, hence demonstrating potential application in anterolateral thigh perforator flap harvesting surgeries.

Cerebral Fat Embolism After Traumatic Long-Bone Fracture: A Case Report.

We here describe a rare case of a 26-year-old male patient, presenting to our hospital after a motorcycle-car accident for the surgical management of long-bone fractures to the tibia and femur and shoulder dislocation and undergoing orthopedic surgery, who postoperatively developed seizure, coma, and respiratory failure due to a cerebral fat embolism. After some hours after the surgery, a loss of consciousness was described by caregivers, and the ICU team was alerted, and the patient was admitted to ICU. Intracranial hemorrhage and stroke were subsequently excluded and, finally, a whole-body computed tomography angiography scan and head magnetic resonance imaging showed lesions consistent with cerebral fat embolism. Patent foramen ovale was then suspected by contrasted echocardiography. An early diagnosis helped to choose the correct management, with early tracheostomy, and to correctly interpret and manage hemodynamic dysregulations. Overall, the care provided lead to positive long-term outcomes, as the patient was discharged alive and successfully completed neurological rehabilitation, regaining many functional abilities. The initial management, diagnostic pathway, and ICU management are here described.

Novel Immunological Markers of Intestinal Impairment Indicative of HIV-1 Status and/or Subclinical Atherosclerosis.

Antiretroviral therapy (ART) controls HIV-1 replication in people with HIV-1 (PWH), but immunological restauration at mucosal barrier surfaces is not achieved. This fuels microbial translocation, chronic immune activation, and increased comorbidities, including cardiovascular disease (CVD). Here, we sought to identify novel markers of mucosal barrier impairment in the blood to predict the HIV and/or CVD status. Flow cytometry was used to characterize CD326/EpCAM + intestinal epithelial cells (IEC); CD4 + T-cells; CD8 + and CD4 + intraepithelial lymphocytes (IELs); and subsets of CD4 + T-cells expressing Th17 (CCR6) and gut-homing (Itgβ7) markers. To this aim, we collected peripheral blood mononuclear cells (PBMCs) from 42 ART-treated PWH (HIV + ) and 40 uninfected participants (HIV - ) from the Canadian HIV and Aging Cohort Study (CHACS). Both groups were categorized based on the presence of coronary atherosclerotic plaques measured by CT scan angiography as total plaque volume (TPV, mm 3 ). Our findings associate the HIV-1 status with increased frequencies of circulating CD326 + IEC; CD326 + CD4 + T-cells with activated (CD69 + HLA-DR + ) and gut-homing (ItgαE + CCR6 + CCR9 + ) phenotypes, CCR6 + Itgβ7 - CD4 + T-cells; and decreased frequencies of CD8 + IELs. Logistic regression analyses confirmed the predictive capacity of the above cellular markers regarding HIV status. Spearman correlation revealed a positive correlation between TPV and CCR6 + Itgβ7 - and CCR6 + Itgβ7 + CD4 + T-cell frequencies.Together, these results highlighted significant immune dysregulation and persistent mucosal barrier alterations despite effective viral suppression by ART and linked the abundance of CCR6 + Itgβ7 + and CCR6 + Itgβ7 - CD4 + T-cells to increased atherosclerotic plaque burden. Thus, strategies targeting the gut-immune axis restoration may reduce CVD onset and improve long-term health outcomes in PWH.

Spontaneous Rupture of Splenic Artery Aneurysm: A Case Report and Review of the Literature

Introduction: Splenic artery aneurysms are uncommon and typically asymptomatic. However, they pose a high risk of mortality if they rupture. Case Report: This case report describes the occurrence of a spontaneous rupture of a splenic artery aneurysm in a 55-year-old man with no known previous diseases, no trauma history, and no risk factors for developing an aneurysm who applied to the emergency department with abdominal pain. The diagnosis was determined with an urgent abdominal computed tomography angiography scan. The patient received urgent surgical intervention consisting of splenectomy and excision of the splenic artery aneurysm. Conclusion: The rupture of a spontaneous splenic artery aneurysm is a rare and fatal disease that necessitates urgent diagnosis and treatment. Spontaneous splenic artery aneurysm usually develops without any noticeable symptoms and is frequently discovered by chance. In the event of a rupture, it can lead to abrupt abdominal pain and hypovolemic shock and the mortality rate is high. Ultrasound, Computed Tomography, Magnetic Resonance Imaging, and abdominal aortic arteriography are the methods of imaging that are used to diagnose splenic artery aneurysms. The key elements in patient management include prompt resuscitation, diagnostic imaging, surgical consultation, and subsequently performing a laparotomy. In our case, the diagnosis was determined using emergency contrast-enhanced Computed Tomography and was treated with open surgery, specifically splenectomy and excision of the splenic artery aneurysm.

External Validation of Fully-Automated Infrarenal Maximum Aortic Aneurysm Diameter Measurements in Computed Tomography Angiography Scans Using Artificial Intelligence (PRAEVAorta 2).

This study investigates the accuracy of fully-automated maximum aortic diameter measurements in abdominal aortic aneurysm (AAA) patients using artificial intelligence software (PRAEVAorta 2, Nurea, Bordeaux, France). This is a multicenter, retrospective validation study using prospectively collected data from the Zenith alpha for aneurysm Repair Registry (ZEPHYR). Automated measurements of PRAEVAorta 2 are compared with measurements of an internationally recognized core laboratory (Syntactx, New York, New York State). The reviewers at the core laboratory were measurement technologists trained to and utilizing established measurement standards, overseen by vascular surgeons and radiologists. The data set comprised 871 computed tomography angiography scans from the ZEPHYR registry with 347 patients who underwent endovascular aneurysm repair (EVAR) with the Zenith Alpha Endovascular Abdominal Graft (Cook Medical, Bloomington, Indiana) in Germany, Belgium, and The Netherlands between 2016 and 2019. The analysis demonstrated excellent correlation of the measurements (r=0.97) with an intraclass correlation (ICC) of 0.972 (95% confidence interval [CI]=0.968-0.976) across all scans. For preoperative computed tomography (CT) scans, ICC was 0.953 (95% CI=0.941-0.963), and for postoperative scans, ICC was 0.979 (95% CI=0.975-0,983), respectively. In total, 95.4% of measurements were within the clinically acceptable range of 5 mm in absolute difference. In total, 10% of scans demonstrated obvious segmentation errors, mainly due to failure in detecting vessel segments (renal arteries, aortic bifurcation) or due to mis-detecting the outer border of the AAA (duodenum, inferior vena cava, aortic branches) and were excluded from the analysis. In this study, the maximum AAA diameter could be accurately measured fully-automatically by PRAEVAorta 2 (Nurea) in most cases demonstrating that artificial intelligence (AI) software could serve as an important adjunct for research and clinical practice. However, critical review of the generated reports by an experienced observer and cautious use is warranted to identify flawed segmentations. This multicenter, retrospective validation study assessed the accuracy of fully-automated maximum infrarenal aortic aneurysm diameter measurements. It was demonstrated, that 95.4% of measurements were within the clinically acceptable range of 5 mm in absolute difference, positioning the software as a potential adjunct for clinical practice and research. It is also highlighted however, that critical review of the measurements is obligatory, due to a 10% segmentation error rate.

Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence

ObjectiveThis study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAA) at increased risk of rupture incorporating demographic, clinical, imaging, and medication data using artificial intelligence (AI). DesignA development and validation study for individual prognosis using AI in a case-control design. MethodsFrom two Danish hospitals, all available ruptured AAA cases between January 2009 and December 2016 were included in a ratio of 1:2 with elective surgery controls. Cases with previous AAA surgery or missing pre-operative scans were excluded. Features from computed tomography angiography scans and hospital records were manually retrieved. The sample was divided randomly and evenly into developmental and internal validation groups. A SHapley Additive exPlanations Feature Importance Rank Ensembling (SHAPFire) AI tool was developed using a gradient boosting decision tree framework. The final SHAPFire AI model was compared with models using 1) solely infrarenal anterior-posterior-diameter, and 2) all available features. ResultsThe study included 637 individuals (84.8% men, mean age 73±7 years, 213 ruptured AAAs). The SHAPFire AI incorporated 20 of 68 available features, and aneurysm size, blood pressure, and relationships between height and weight were given highest rankings. The receiver operating characteristic curve for the SHAPFire AI model displayed a significant increase in accuracy identifying ruptured AAA cases compared to the conventional model based solely on diameter with areas under the curves of 0.86±0.04 and 0.74±0.03 (P=0.008), respectively. SHAPFire AI was comparable in performance with the model using all features. ConclusionThis study successfully developed a SHAPFire AI tool to identify AAAs at increased risk of rupture with significant higher accuracy than diameter alone. External validation of the model is warranted before clinical implementation.

Enhanced Preoperative Planning for Intracranial Aneurysms Through Multimodal Image Fusion of Silent/Time-of-Magnetic Resonance Angiography and Computed Tomography Using 3DSlicer: A Comparative Efficacy Analysis With Computed Tomography Angiography.

This study evaluates the effectiveness of multimodal image fusion (MIF) using silent and time-of-flight (TOF) magnetic resonance angiography (MRA) and computed tomography (CT) for preoperative planning in patients with intracranial aneurysms who have contraindications to contrast media. A retrospective study included 40 patients with intracranial aneurysms, diagnosed using three-dimensional computed tomography angiography (CTA). These patients underwent both Silent and TOF MRA scans, followed by a CTA scan. The multi-image fusion (MIF) technique, applied using 3DSlicer software, integrated the silent/TOF-MRA with CT images for preoperative assessment. This study compared the image quality, aneurysm detection sensitivity, and anatomic accuracy of the MIF images with those of three-dimensional CTA. Silent-MRA-CT fusion images demonstrated higher sensitivity (95.5%) and lower false negative rates (4.5%) compared with TOF-MRA-CT. Furthermore, silent-MRA-CT fusion images outperformed TOF-MRA-CT in terms of signal homogeneity, venous signal interference suppression, and aneurysm visibility (all P < 0.05). The interclass correlation coefficient and kappa values for aneurysm morphology and shape indicated superior measurement consistency and shape concordance of silent-MRA-CT with CTA compared with TOF-MRA-CT (all P < 0.01). This study supports the use of silent/TOF-MRA-CT fusion imaging as a reliable alternative to CTA, noting that silent-MRA-CT closely mirrors CTA. Contrast-free MRA-CT fusion images have the potential to be used for preoperative planning in patients with intracranial aneurysms who have contraindications to contrast.

Characterizing Nonculprit Lesions and Perivascular Adipose Tissue of Patients Following Acute Myocardial Infarction Using Coronary Computed Tomography Angiography: A Comparative Study.

The comparison of coronary computed tomography angiography plaques and perivascular adipose tissue (PVAT) between patients with acute myocardial infarction (AMI) posttreatment and patients with stable coronary artery disease is poorly understood. Our objective was to evaluate the differences in coronary computed tomography angiography-quantified plaque and PVAT characteristics in patients post-AMI and identify signs of residual inflammation. We analyzed 205 patients (age, 59.77±9.24 years; 92.20% men) with AMI ≤1 month and matched them with 205 patients with stable coronary artery disease (age, 60.52±10.04 years; 90.24% men) based on age, sex, and cardiovascular risk factors. Coronary computed tomography angiography scans were assessed for nonculprit plaque and vessel characteristics, plaque volumes by composition, high-risk plaques, and PVAT mean attenuation. Both patient groups exhibited similar noncalcified plaque volumes (383.35±313.23 versus 378.63±426.25 mm3, P=0.899). However, multivariable analysis revealed that patients post-AMI had a greater patient-wise noncalcified plaque volume ratio (estimate, 0.089 [95% CI, 0.053-0.125], P<0.001), largely attributed to a higher fibrofatty and necrotic core volume ratio, along with higher peri-lesion PVAT mean attenuation (estimate, 3.968 [95% CI, 2.556-5.379], P<0.001). When adjusted for vessel length, patients post-AMI had more high-risk plaques (estimate, 0.417 [95% CI, 0.298-0.536], P<0.001) per patient. Patients post-AMI displayed heightened noncalcified plaque components, largely due to fibrofatty and necrotic core content, more high-risk plaques, and increased PVAT mean attenuation on a per-patient level, highlighting the necessity for refined risk assessment in patients with AMI after treatment.

AI-enabled cardiac chambers volumetry in non-contrast coronary artery calcium CT scans vs. contrast-enhanced coronary CT angiography scans in the same patients

Abstract Introduction We have developed an AI-enabled automated volumetry of cardiac chambers (AutoChamber) that works both on non-contrast ECG-gated cardiac CT scans used for coronary artery calcium (CAC) score, and non-contrast non-gated lung cancer screening CT scans. We have recently reported the agreement between AutoChamber measurements vs cardiac MRI measurements. Here we report AutoChamber results on non-contrast CAC scans and contrast enhanced coronary CT angiography (CTA). Methods We have obtained CT images from a previously published study in which 131 cases underwent non-contrast CAC and contrast enhanced CCTA at research institute. The cases consisted of 52.4% women with ages 55.0 ± 10.1 years. The cardiac chambers volume in 131 cases of contrast enhanced CCTA were measured using automated chamber volumetry by Philips Brilliance Volume v 4.5; Philips Healthcare. Results The correlations between Philips’ automated chamber volumetry in contrast enhanced CCTA scans versus AutoChamber automated volumetry in non-contrast CAC scans for left atrium (LA), left ventricle (LV), right atrium (RA), right ventricle (RV), and left ventricular wall (LVW) volume were 0.73, 0.65, 0.85, 0.93, 0.90, respectively (P for all &amp;lt;0.01). Conclusion AI-enabled AutoChamber volumetry based on non-contrast cardiac scans is feasible, and correlates reasonably well with contrast-enhanced cardiac CT scans. Further studies are warranted to reproduce these results and explore the add-on value of AutoChamber to CAC scans.

AI-enabled automated cardiac chambers volumetry in non-contrast ECG-gated cardiac scans vs. non-contrast non-gated lung scans

Abstract Introduction We have developed an AI-enabled automated volume measurement of cardiac chambers (AutoChamber) that works on ECG-gated coronary artery calcium scans and correlates well with contrast enhanced coronary CT angiography scans. We have recently reported that increased left atrial volume measured by AutoChamber is a strong predictor of new onset atrial fibrillation (AF) in asymptomatic individuals of Multi-Ethnic Study of Atherosclerosis (MESA). In this study, we compare the volumetry results in ECG- gated CAC scans with those of non-gated full-chest lung cancer screening scans in the same individuals. Methods We have studied 169 cases of paired ECG-gated cardiac CT scans and non-gated lung scans obtained from Harbor UCLA. Mean±SD for age was 62.1±10.0 years with 52% female participants. All cases were asymptomatic and were scanned for preventive health assessment. AutoChamber was run on all cases by an independent operator who was not involved in data analysis. P value was calculated using a two-tailed test of significance with α=0.05. Results AutoChamber in cardiac scans vs lung scans reported volume (Mean±SD) for left atrium (LA) was 63.8 ± 18.5 vs. 65.5 ± 19.4, left ventricle (LV) 102.8 ± 25.3 vs. 105.5 ± 25.2, right atrium (RA) 81.9 ± 20.5 vs. 85.7 ± 21.9 right ventricle (RV), 140.7 ± 34.2 vs. 134.2 ± 33.7, left ventricle wall (LVW) 113.0 ± 26.6 vs. 109.7 ± 27.0 respectively (P &amp;lt; 0.0001). Strong correlation was shown between cardiac and lung scans for each cardiac chamber: LA (R = 0.92), LV (R = 0.93), RA (R = 0.91), RV (R = 0.92), and left ventricular wall (LVW) R = 0.95. Conclusions AutoChamber volumetry results are similar in ECG-gated cardiac scans vs non-gated full-chest lung scans. This AI-enabled automated tool is promising as it can provide added value to patients undergoing coronary calcium and lung cancer screening scans flagging enlarged cardiac chambers at risk of AF and heart failure.

CT imaging using variable helical pitch scanning for lower extremity arterial disease: Reduced contrast medium dose, improved image quality and diagnostic accuracy

ObjectivesThis study aimed to explore the feasibility of reducing contrast medium (CM) volume, improving image quality and diagnostic accuracy using variable helical pitch (VHP) scanning for patients with lower extremity arterial disease (LEAD). Materials and methodsEighty patients who underwent lower extremity CT angiography (CTA) were prospectively enrolled and randomly assigned to either the VHP group (n = 40) or the conventional group (n = 40). Quantitative parameters and qualitative scores were compared between the two groups. Additionally, out of these patients, 72 arteries from 18 patients had DSA as the reference standard, and the diagnostic accuracy for the degree of vessel stenosis was assessed and compared. ResultsIn the VHP group, the contrast volume was significantly lower than in the conventional group (79.55 ± 11.87 mL vs. 89.63 ± 10.03 mL, p < 0.001), showing a reduction of 12.7 %. For all image quality characteristics, scores in VHP group were significantly superior to those in the conventional groups (all p < 0.05). Quantitative analysis revealed that images from the VHP group exhibited superior CT enhancement, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) in the anterior tibial arteries (ATA) and dorsali pedis arteries (DPA) compared to the conventional group (all p < 0.001). Moreover, segment-based analysis showed the VHP group had significantly higher positive predictive value (PPV) and accuracy than the conventional group (PPV: 100 % vs. 76.19 %, p = 0.01; accuracy: 100 % vs. 84.38 %, p = 0.01, respectively). ConclusionsThe implementation of the VHP protocol led to a 12.7 % decrease in contrast medium dosage compared to the conventional lower extremity CTA scanning protocol. Furthermore, it improved image quality and diagnostic accuracy, particularly for arteries below the knee.

Growth Rate Assessed by Vascular Deformation Mapping predicts Type B Aortic Dissection in Marfan Syndrome.

Patients with Marfan syndrome (MFS) are at a high risk of type B dissection (TBAD). Aortic growth and elongation have been suggested as risk factors for TBAD. Vascular deformation mapping (VDM) is an image analysis technique for mapping 3D aortic growth on rouine computed tomography angiography (CTA) scans. We aimed to use VDM to examine the value of aortic growth rate in the descending thoracic aorta (DescAo), among other imaging biomarkers, to identify the factors associated with risk of TBAD in MFS. CTA scans spanning 2004-2023 from adult MFS patients with native DescAo were analyzed by VDM. Other measurements included multi-level thoracoabdominal aortic diameters and the length of the DescAo by centerline analysis. Among the 105 MFS patients analyzed, 63.8% were male, with median age of 40 years (range 18-73) and a median surveillance interval of 5.3 years (range 2.0-18.3). During surveillance, 12 (11.4%) patients developed TBAD. Patients with TBAD had higher radial growth rate (0.63 vs. 0.23 mm/year; p < 0.001) and elongation rate (2.4 vs. 0.5 mm/year; p < 0.001), on univariate and multivariable analysis, but pre-dissection descending aortic diameter was not significantly different. Predictors of growth rate included younger age, higher baseline maximal diameter of the DescAo, smoking history and warfarin use. Radial growth and elongation rates of the DescAo were independent predictors of TBAD occurrence in MFS. TBAD often occurred in at non-aneurysmal diameters. These findings emphasize the role of growth over absolute diameter in risk stratification for TBAD in MFS.

Poor venous outflow is associated with hyperintense acute reperfusion marker on follow-up MRI in patients with acute ischemic stroke with a large vessel occlusion

BackgroundHyperintense acute reperfusion marker (HARM) refers to delayed enhancement in the subarachnoid or subpial space on post-contrast fluid attenuated inversion recovery (FLAIR) images. HARM is a measure of blood–brain barrier...

Sex estimation by morphometric analysis of the intracranial volume and foramen magnum on three-dimensional volume rendering computed tomography

Purpose: Identification of decomposed human bodies and bone remains is very important in medicolegal examinations. The cranium has an important place in sex estimation due to its dimorphic features. Recent studies in this field have used radiological methods. The present study aimed to examine sexual dimorphism through morphometric analysis of the intracranial volume and Foramen Magnum on Three-Dimensional (3D) Volume Rendering Computed Tomography (CT) images. Methods: For this purpose, 3D images were generated after the reconstruction of CT Angiography scans of 87 female and 107 male cases. The length, width, circumference, area, and intracranial volume of the foramen magnum were measured on these 3D images. Results: All measurements except foramen magnum index were greater in males than in females (p

Measurement of transcranial Doppler insonation angles from three-dimensional reconstructions of CT angiography scans.

Blood velocities measured by Transcranial Doppler (TCD) are dependent on the angle between the incident ultrasound beam and the direction of blood flow (known as the Doppler angle). However, when TCD examinations are performed without imaging the Doppler angle for each vessel segment is not known. We have measured Doppler angles in the basal cerebral arteries examined with TCD using three-dimensional (3D) vessel models generated from computed tomography angiography (CTA) scans. This approach produces angle statistics that are not accessible during non-imaging TCD studies. We created 3D models of the basal cerebral arteries for 24 vasospasm patients. Standard acoustic windows were mapped to the specific anatomy of each patient. Virtual ultrasound transmit beams were generated that originated from the acoustic window and intersected the centerline of each arterial segment. Doppler angle measurements were calculated and compiled for each vessel segment. Doppler angles were smallest for the middle cerebral artery M1 segment (median 24.6°) and ophthalmic artery (median 25.0°), and largest for the anterior cerebral artery A2 segment (median 76.4°) and posterior cerebral artery P2 segment (median 75.8°). The ophthalmic artery had the highest proportion of Doppler angles that were less than 60° (99%) while the anterior cerebral artery A2 segment had the lowest proportion of Doppler angles that were less than 60° (10%). These angle measurements indicate the expected deviation between measured and true velocities in the cerebral arteries, highlighting specific segments that may be prone to underestimation of velocity.

Case Report: Emergency endovascular management of a ruptured giant abdominal aortic aneurysm with severely angulated and conical shaped neck using novel multiple stiff wire technique

Background Ruptured abdominal aortic aneurysm (rAAA) is commonly fatal, with an overall mortality rate of nearly 90%, and the risk of subsequent rupture remains high, especially in large aneurysm diameters or progressive disease. Unfavorable neck anatomy in EVAR is linked to early graft failure and long-term complications. Recently, a novel multiple stiff wire (MSW) technique has been developed to overcome the challenges of hostile neck anatomy without introducing additional devices and procedural complexity. It has also been feasible in a series of elective cases. In this case, we report the first-ever utilization of the MSW technique in an emergency case of an acute contained rAAA with a conical-shaped, severely angulated neck who underwent Endovascular Aortic Repair (EVAR). Case presentation A 61-year-old man came with intermittent sharp stomach pain radiating to his back since three weeks ago. Physical examination showed elevated blood pressure and anemic conjunctiva. Laboratory examinations showed anemia, leukocytosis, elevated D-dimer level, high creatinine level, and low eGFR. CT-Scan Angiography (CTA) revealed severely hostile anatomy, a conical-shaped abdominal aorta aneurysm with a length of 13.2 cm and a maximum diameter of 9.3 cm with angulation of 90.1°. The patient was diagnosed with Ruptured AAA with a conical-shaped, severely angulated neck. Endovascular Aortic Repair (EVAR) management with MSW technique was planned for him. After four days, The patient was discharged in a clinically stable condition with optimal medical treatment and education. Conclusion The endovascular approach could be performed in emergency settings and has been proven to reduce length of stay, mortality, and morbidity rates. In this case, the endovascular approach with the MSW technique showed promising results for the patient.

Morphology and arterial supply of the pyramidalis muscle in an Australian female population using computed tomography angiography

IntroductionThe structure and function of the human anterolateral abdominal wall have been thoroughly described. However, there has been limited anatomical study of the pyramidalis muscle and its arterial supply. The aim of this study was to analyse the patterns of arterial supply to the pyramidalis in a female population.MethodsA retrospective study of 32 computed tomography angiography scans of the abdominal wall of adult women was performed to assess the prevalence (bilateral or unilateral presence, or absence), morphology (medial border height, base width and thickness) of pyramidalis and patterns of arterial supply.ResultsPyramidalis prevalence was bilateral in 75% of computed tomography angiography studies (24/32), unilateral in 6.3% (2/32) and absent in 18.8% (6/32). Of the five patterns of pyramidalis arterial supply observed and described in detail, the most frequent (68%, 34/50 of cases) originated from an exclusive muscular branch of the inferior epigastric artery. Origin from the pubic branch of the inferior epigastric artery was seen in 4% (2/50). There was a single case (2%, 1/50) of artery origin from a variant obturator artery, a common trunk with the pubic branch from the inferior epigastric artery, and from the muscular branch to rectus abdominis. The artery could not be defined in 22% (11/50).ConclusionIn this computed tomography angiography study of women, five patterns of Pyramidalis arterial supply were identified. In the majority of cases, the pyramidalis derived its arterial supply from an exclusive, isolated muscular branch of the inferior epigastric artery.

Role of Computed Tomography Angiography Enhancement Ratio in Predicting Prognosis in Patients With Stroke Undergoing Endovascular Treatment

Background The computed tomography angiography enhancement ratio (CTA‐ER), calculated through the net water uptake formula, is a valuable predictive tool for detecting adverse events after stroke. However, limited research has investigated the correlation between CTA‐ER and the prognosis of patients receiving endovascular treatment. Therefore, we aimed to examine whether CTA‐ER could predict favorable outcomes in patients undergoing endovascular treatment. Methods We conducted a retrospective study enrolling patients with acute anterior circulation large‐vessel occlusive stroke undergoing endovascular treatment between January 2016 and January 2023. All patients received noncontrast computed tomography and computed tomography angiography scans upon admission. Multivariate logistic regression analysis and receiver operator characteristic curve were used to assess the predictive efficacy in determining favorable outcomes. The favorable outcome at 90 days was a modified Rankin scale score of 0 to 2. Results A total of 206 participants (median age, 68 [60–77] years; 77 women) were included in the study, with 82 (39.8%) individuals demonstrating favorable outcomes. Patients with favorable outcomes had lower noncontrast computed tomography net water uptake (6.42% versus 7.76%; P &lt; 0.001) and CTA‐ER (8.31% versus 10.56%; P &lt; 0.001). Multivariate logistic regression analysis identified that CTA‐ER was a significant predictor for favorable outcomes ( P &lt;0.05 in all models). Furthermore, the receiver operator characteristic analysis revealed that CTA‐ER exhibited superior predictive performance, surpassing noncontrast computed tomography net water uptake (area under the curve, 0.707 versus 0.636, Delong test; P = 0.046). Conclusion CTA‐ER is a significant predictor of favorable outcomes in patients with acute large‐vessel occlusion stroke undergoing endovascular treatment.

Diagnostic Performance of a Deep Learning-Powered Application for Aortic Dissection Triage Prioritization and Classification.

This multicenter retrospective study evaluated the diagnostic performance of a deep learning (DL)-based application for detecting, classifying, and highlighting suspected aortic dissections (ADs) on chest and thoraco-abdominal CT angiography (CTA) scans. CTA scans from over 200 U.S. and European cities acquired on 52 scanner models from six manufacturers were retrospectively collected and processed by CINA-CHEST (AD) (Avicenna.AI, La Ciotat, France) device. The diagnostic performance of the device was compared with the ground truth established by the majority agreement of three U.S. board-certified radiologists. Furthermore, the DL algorithm's time to notification was evaluated to demonstrate clinical effectiveness. The study included 1303 CTAs (mean age 58.8 ± 16.4 years old, 46.7% male, 10.5% positive). The device demonstrated a sensitivity of 94.2% [95% CI: 88.8-97.5%] and a specificity of 97.3% [95% CI: 96.2-98.1%]. The application classified positive cases by the AD type with an accuracy of 99.5% [95% CI: 98.9-99.8%] for type A and 97.5 [95% CI: 96.4-98.3%] for type B. The application did not miss any type A cases. The device flagged 32 cases incorrectly, primarily due to acquisition artefacts and aortic pathologies mimicking AD. The mean time to process and notify of potential AD cases was 27.9 ± 8.7 s. This deep learning-based application demonstrated a strong performance in detecting and classifying aortic dissection cases, potentially enabling faster triage of these urgent cases in clinical settings.