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Ascending Aorta

The ascending aorta is the portion of the aorta that runs upward from the left ventricle of the heart to the aortic arch.
It plays a crucial role in the cardiovascular system, transporting oxygenated blood from the heart to the rest of the body.
Accurate understanding and analysis of the ascending aorta is essential for diagnosing and treating various cardiovascular conditions, such as aortic aneurysms, dissections, and stenosis.
PubCompare.ai's innovative AI-driven platform can enhance reproducibility and accuracy in ascending aorta research by helping researchers locate the best protocols from literature, preprints, and patents through intelligent comparisons.
This tool can optimize the research process and unlock new insights, ultimately contributing to advancements in the understanding and management of ascending aorta-related disorders.

Most cited protocols related to «Ascending Aorta»

A schematic overview of the myocyte isolation procedure is shown in Figure 2. An expanded description of the procedure, accompanied with images and videos, and complete materials list is available in the Online Data Supplement, alongside full details of additional methods applied in this study (Appendix A-ix). All animal work was undertaken in accordance with Singapore National Advisory Committee for Laboratory Animal Research guidelines. Relevant national and institutional guidelines and regulations must be consulted before commencement of all animal work.
Buffers and media were prepared as detailed in Appendix D. EDTA, perfusion, and collagenase buffers were apportioned into sterile 10 mL syringes, and sterile 27 G hypodermic needles were attached (Online Figure IA).
C57/BL6J mice aged 8 to 12 weeks were anesthetized, and the chest was opened to expose the heart. Descending aorta was cut, and the heart was immediately flushed by injection of 7 mL EDTA buffer into the right ventricle. Ascending aorta was clamped using Reynolds forceps, and the heart was transferred to a 60-mm dish containing fresh EDTA buffer. Digestion was achieved by sequential injection of 10 mL EDTA buffer, 3 mL perfusion buffer, and 30 to 50 mL collagenase buffer into the left ventricle (LV). Constituent chambers (atria, LV, and right ventricle) were then separated and gently pulled into 1-mm pieces using forceps. Cellular dissociation was completed by gentle trituration, and enzyme activity was inhibited by addition of 5 mL stop buffer.
Cell suspension was passed through a 100-μm filter, and cells underwent 4 sequential rounds of gravity settling, using 3 intermediate calcium reintroduction buffers to gradually restore calcium concentration to physiological levels. The cell pellet in each round was enriched with myocytes and ultimately formed a highly pure myocyte fraction, whereas the supernatant from each round was combined to produce a fraction containing nonmyocyte cardiac populations.
CM yields and percentage of viable rod-shaped cells were quantified using a hemocytometer. Where required, the CMs were resuspended in prewarmed plating media and plated at an applicationdependent density, onto laminin (5 μg/mL) precoated tissue culture plastic or glass coverslips, in a humidified tissue culture incubator (37°C, 5% CO2). After 1 hour, and every 48 hours thereafter, media was changed to fresh, prewarmed culture media.
The cardiac nonmyocyte fraction was collected by centrifugation (300g, 5 minutes), resuspended in fibroblast growth media, and plated on tissue-culture treated plastic, area ≈ 23 cm2 (0.5× 12-well plate) per LV, in a humidified tissue culture incubator. Media was changed after 24 hours and every 48 hours thereafter.
Publication 2016
Animals Animals, Laboratory Ascending Aorta Buffers Calcium Centrifugation Chest Collagenase Culture Media Descending Aorta Dietary Supplements Digestion Edetic Acid enzyme activity Fibroblasts Forceps Gravity Heart Heart Atrium Hyperostosis, Diffuse Idiopathic Skeletal Hypodermic Needles isolation Laminin Left Ventricles Mus Muscle Cells Perfusion physiology Population Group Retreatments Rod Photoreceptors Sterility, Reproductive Syringes Tissues Ventricles, Right
For participants in the COPDGene trial, analysis of the lung parenchyma and airways was performed on volumetric CT scans of the chest obtained without the administration of contrast material. Parenchymal analysis was performed with the use of the Slicer software package (www.Slicer.org), and airway analysis was performed with the use of Volumetric Information Display and Analysis (VIDA) Pulmonary Workstation 2 software (www.vidadiagnostics.com). Emphysema was defined by a CT attenuation value of less than –950 Houns-field units on inspiratory scans, and gas trapping was defined by a CT attenuation of less than –856 Hounsfield units on expiratory scans. We assessed airway disease by measuring the wall-area percent ([the bronchial wall area ÷ total cross-sectional area of the wall and lumen] × 100), using the average of six fourth-generation airways, as reported previously.19 (link)Vascular measurements in the COPDGene and ECLIPSE cohorts were performed on baseline CT scans by an investigator who was unaware of the participants’ clinical characteristics. Measurements were made from axial CT images with the use of inspiratory acquisitions with digital imaging and communications in medicine (DICOM) software (OsiriX DICOM Viewer, version 4.0, 32-bit; www.osirix-viewer.com). The interpreter measured the diameter of the main pulmonary artery at the level of its bifurcation and measured the diameter of the ascending aorta in its maximum dimension using the same images, as shown in Figure 1.
Publication 2012
Ascending Aorta Blood Vessel Bronchi Chest Cone-Beam Computed Tomography Contrast Media Exhaling Fingers Inhalation Lung Pharmaceutical Preparations Pulmonary Artery Pulmonary Emphysema Radionuclide Imaging X-Ray Computed Tomography
The serial CMR scans were performed using a 1.5 Tesla Siemens Scanner (Sonata, Magnetom, Siemens, Erlangen, Germany). Breath-hold cine imaging was performed using a segmented TrueFISP sequence (temporal resolution 25 ms, slice thickness 8 mm, interslice gap 4 mm, spatial resolution 117 × 192, field of view 360 mm, and GRAPPA parallel imaging) with ECG gating to obtain images representative of the entire cardiac cycle in both long and short axis views. A combination of a 32 channel spine matrix and 6 channel body matrix coil was used. All patients were imaged in a half left lateral decubitus position to minimize aorto-caval compression and improve patient comfort in the third trimester. There were no sedative medications or contrast agents used during this study. Chamber measurements were obtained from the three and four chamber long axis views. Measurement of the aortic sinus, sinotubular junction, and ascending aorta were performed in both the three-chamber and coronal views. Endocardial and epicardial contours were drawn manually for the LV and RV, respectively, at end-systole and end-diastole in each data set with the most basal short axis slice identified as the image which contains at least 50% of circumferential myocardium. Papillary muscles and trabeculations were included in LV and RV mass calculation. Two observers (RD and DJ), blinded to the clinical data, analyzed the CMR images offline using CMR analysis suite (version 3.4.0, Circle Cardiovascular Imaging, Calgary, Alberta, Canada).
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Publication 2014
Ascending Aorta Cardiovascular System Contrast Media Diastole Endocardium Epistropheus Heart Human Body Myocardium Papillary Muscles Patients Pharmaceutical Preparations Radionuclide Imaging Sedatives Sinotubular Junction Sinus, Aortic Sonata Systole Venae Cavae Vertebral Column

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Publication 2011
Antigens Arteries Ascending Aorta Biological Markers Blood Vessel Carotid Arteries Cell Adhesion Molecules Common Carotid Artery C Reactive Protein F18, Fluorodeoxyglucose Hydroxymethylglutaryl-CoA Reductase Inhibitors Inflammation Interleukin-6 Lipoproteins Longterm Effects Matrix Metalloproteinase 3 Peroxidase Plaque, Atherosclerotic Plasminogen Activator Inhibitor 1 PLAT protein, human Protoplasm Scan, CT PET Selectins SELE protein, human SELP protein, human Vascular Cell Adhesion Molecule-1
The CT scans were read independently by four experienced readers for the pulmonary and aortic dimensions, using a dedicated offline cardiac workstation (Aquarius, Terarecon, San Mateo, CA). Specifically, the transverse axial diameter of the main pulmonary artery and the ascending aorta at the level of the bifurcation of the right pulmonary artery were measured (Figure 1). The ratio PA was calculated as the ratio of the mPA to the ascending aorta diameter (Ao). Measurement reproducibility determined by two independent readers in a random sample of ninety-two subjects were excellent for inter- and intraobserver variability (interobserver intra-class correlation coefficient: mPA= 0.90, Ao= 0.98, and ratio PA= 0.92; intraobserver intra-class correlation coefficient: mPA= 0.97, Ao= 0.99, and ratio PA= 0.96, all p<0.0001; respectively).
Publication 2011
Aorta Ascending Aorta Heart Lung Pulmonary Artery X-Ray Computed Tomography

Most recents protocols related to «Ascending Aorta»

Fibrous reinforcement material properties were utilized to model aortic valve in FEM module of the Mimics software based on the grayscale of CTA images. The ascending aorta was set as a large vessel with a uniform thickness of 2.3 mm and described by a linear hexahedral element. The aortic valve was set as thin tissue and described by a 4-node shell unit (Kim et al., 2007 (link)). The remaining tissues such as myocardium were set as isotropic linear elastic materials and the material properties were set as following: Young modulus was 2MPa, Poisson ratio was 0.3, tissue density was 1.1 g/cm3. The response of leaflet to mechanical stimuli was considered to be highly elastic, isotropic and incompressible.
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Publication 2023
Ascending Aorta Blood Vessel Fibrosis Myocardium Reinforcement, Psychological Tissues Valves, Aortic
The aortic valve geometric model was established by a previously described method with modification (Jernigan et al., 2007 (link); Nappi et al., 2020 (link)). Briefly, the ascending aorta CTA images in the DICOM format were imported into Mimics 10.01 software (Materialise, Leuven, Belgium). Then, based on the tissue density of cardiac valve, set the range of threshold between 329 to 560 Hounsfield units, and 3D reconstruction was performed using ‘Calculate 3D’ to obtain the geometric model of the aortic valve and ascending aortic arch. Next, the 3D solid model of aortic leaflets was built through meshes using the Remesh module in Magics.
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Publication 2023
Aorta Arch of the Aorta Ascending Aorta Heart Valves Reconstructive Surgical Procedures Tissues Valves, Aortic
All cardiovascular MRI examinations were retrospectively reviewed by a 10-year experienced radiologist trained in congenital cardiac imaging, with an experience of more than 1000 cardiovascular MRI examinations. All the images were reviewed using a commercially available software program (5.6i report card, GE Medical Systems, Milwaukee, WI, USA) on a workstation.
The endocardial layer of ventricles was contoured manually on short-axis cine images by including the papillary muscles and the trabeculations through all slices on end-diastolic and end-systolic phases. Body surface area (with Mosteller’s formula), biventricular end-diastolic volume index, end-systolic volume index, stroke volume index, and ejection fraction were calculated automatically by the workstation.
In the flow analysis, the contour of the vascular structures was traced manually. Forward flow volume, regurgitant flow volume, and net flow volumes were calculated by a software program. Pulmonary regurgitation fraction (regurgitant flow volume/forward flow volume × 100 in %) and blood flow distribution of the right-to-left pulmonary artery (net right pulmonary artery flow volume/[right pulmonary artery+left pulmonary artery flow volume] × 100 in %) were also calculated. The presence of end-diastolic antegrade flow was also recorded from flow diagrams. The systemic-to-pulmonary flow ratio was calculated to assess the degree of the left-to-right shunt. It was calculated as dividing the net flow volume of the pulmonary artery to ascending aorta.
MRI of each patient with CHD was analyzed for morphological information such as chamber and valve anatomy, structure and integrity of septum, alignment, the caliber of outflow tracts, and atrioventricular connections. The functional information comprised quantification of flow across valves, outflow tract, and defects. Cine imaging provided dynamic information of the cardiac size, valve morphology, leaflet mobility, wall thickness, chamber size, flow jets, outflow tracts, septum anatomy, defect morphology, and aortopulmonary connections. Stenosis or aneurysmatic dilatation of the great vessels was assessed on multiplanar reconstruction images and three-dimensional volume-rendered images of MRA.
During the radiologic assessment, extracardiac findings were also recorded. All the cardiovascular MRI examinations were evaluated according to the criteria listed in the guidelines and recommendations [5 (link), 8 (link)–17 (link)].
Publication 2023
Arteries Ascending Aorta Blood Vessel Body Surface Area Cardiovascular System Diastole Endocardium Epistropheus Heart Heart Ventricle Lung Papillary Muscles Patients Physical Examination Pulmonary Artery Pulmonary Circulation Pulmonary Valve Insufficiency Radiologist Range of Motion, Articular Stenosis Stroke Volume Systole Vasodilation
To improve the early diagnosis of CoA, several diagnostic tests have been used in clinical practice. Currently, cardiac ultrasound is a routine test for CoA, and studies to improve the prenatal diagnosis of CoA have recently been conducted based on it (17 (link), 18 (link)). However, since the aortic coarctation occurs mainly in the isthmus and its physical changes are not clear, it is often examined with the help of CT and MRI. MRI is also widely used to assess CoA (19 (link)), but due to its time-consuming, costly, and low spatial resolution, it has limitations compared with CT (20 (link), 21 (link)). Therefore, in this study, CTA was used for all study subjects, and initial reconstruction of the scanned images was completed using image post-processing techniques.
Children who were hemodynamically unstable and uncooperative were sedated before CTA by oral 10% chloral hydrate (0.5 ml/kg body mass) or intramuscular sodium phenobarbital injection (5 ml/kg body mass), with careful monitoring of heart rate and saturation by the anesthesia team during sedation. A Philips Brilliance ICT machine was used to perform CT scanning from the lower neck to the level of the diaphragm, and the scanning parameters were set according to the ALARA principle: tube voltage 80–100 kV, tube current 35–85 mAs, pitch 0.2 mm, layer spacing 5.0 mm, layer thickness 5.0 mm, and image reconstruction layer thickness 1.0 mm. Iohexol 300 (mgI/ml) and iodixanol (270 mgI/ml) were injected into the dorsal vein of the hand and foot using a high-pressure syringe at a dose of 2 ml/kg and an injection rate of 0.6–3.0 ml/s. Phase II enhancement scans were performed 15–30 s and 50–60 s after drug administration, respectively.
The minimum internal diameters of the ascending aorta (AOA), proximal arch (D1), distal arch (D2), isthmus (D3), and descending aorta (DA) were measured using a double-blind method by two physicians who have been involved in cardiovascular disease research for many years, and each measurement was taken twice and averaged.
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Publication 2023
Anesthesia Ascending Aorta Cardiovascular Diseases Child Coarctation, Aortic Descending Aorta Early Diagnosis Foot Heart Human Body Hydrate, Chloral Intramuscular Injection Intrauterine Diagnoses iodixanol Iohexol Neck Physical Examination Physicians Post Technique Pressure Radionuclide Imaging Respiratory Diaphragm Sedatives Sodium, Phenobarbital Syringes Tests, Diagnostic Ultrasonography Veins
First, import CTA image data into Mimics 19.0 Image Workstation in DICOM format, select the “Segment” function module and use the “CT Heart” command under “Cardiovascular” to set the threshold range of 283Hu-2750Hu for threshold segmentation. Click “Calculate” to obtain the segmented image and select the aortic region to construct a rough stereoscopic model of the aorta. After that, use the “lasso” command in “Edit Masks” to remove the extra part, and then complete the accurate reconstruction of the aorta by calculation (Figure 2A). The “FitCenterline” function was used to fit the centerline of the reconstructed model with a smoothing factor of 0.5 (Figure 2B). Subsequently, the reconstructed image data were exported from Mimics to Geomagic wrap 2021 for smoothing and surfacing (Figure 2C), of which the STL files were converted to IGES format and sutured in Ug12.0 software (Figure 2D). Finally, the desired cross-sections were cut out perpendicular to the centerline at the ascending aorta, proximal arch, distal arch, isthmus, and descending aorta (Figure 3), and a total of 465 cross-sectional images were acquired for the 93 abovementioned samples.
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Publication 2023
Aorta Ascending Aorta Cardiovascular System Descending Aorta factor A Factor V Heart Reconstructive Surgical Procedures

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