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Epicardium

Epicardium: The outer layer of the heart, composed of connective tissue.
It provides a protective and lubricating surface for the heart.
Epicardium research is crucial for understanding cardiac function and developing new therapies.
PubCompare.ai's AI-driven platform can help optimize your Epicardium studies by identifying the best research procedures from literature, preprints, and patents.
Leverage powerful comparisons to find the top protocols and products for your Epicardium research and streamline your work with PubCompare.ai's cutting-edg tools.

Most cited protocols related to «Epicardium»

To assign fiber orientation throughout the myocardium according to the rules R1–R6 above, the LDRB algorithm takes four functions as inputs, representing the desired α and β angles within the septum (s) and the ventricular walls (w). The angles α and β are in degrees and d is the transmural depth normalized from 0 to 1.
αs(d)=αendo(1d)αendod
αw(d)=αendo(1d)+αepid
βs(d)=βendo(1d)+βendod
βw(d)=βendo(1d)+βepid
If non-linear interpolation functions are desired, these functions need to satisfy αw(0) = αs(0) = −αs(1) modulo 180° and βw(0) = βs(0) = −βs(1) modulo 180°. These conditions ensure that the coordinate systems used for assigning fiber orientation on the endocardium of Ω will be appropriately oriented, regardless of whether orientations are parametrized in the LV or RV wall.
The LDRB algorithm also requires the definition of the following surfaces in order to assign Dirichlet boundary conditions:

∂Ωapex: the apex of the ventricles

∂Ωbase: the base of the ventricles

∂Ωepi: the epicardial surface of the ventricles

∂Ωlv: the endocardial surface of the LV

∂Ωrv: the endocardial surface of the RV

For most studies, the surface ∂Ωbase can be extracted by taking a cutting plane at the apicobasal junction, and the surface ∂Ωapex can be extracted by finding the point lying closest to the ventricular apex of Ω. The surfaces ∂Ωepi, ∂Ωlv, and ∂Ωrv can then be extracted by choosing an arbitrary point on the epicardium, LV endocardium, and RV endocardium, then iteratively expanding from these three points along the surface of Ω until intersection with ∂Ωbase.
Publication 2012
Endocardium Epicardium Fibrosis Heart Ventricle Mental Orientation Myocytes, Cardiac
Since the pattern of electrical activation in the myocardium, which underlies cardiac pump function, is dependent on fiber orientation, ventricular activation maps were generated and used to analyze the correspondence between the simulation results with LDRB and DTI-derived fiber orientations. Two sets of simulations were performed. The first set was performed by pacing the canine ventricles with LDRB and DTI-derived fiber orientations at the LV epicardium midway between the apex and base to elicit transmural electrical wave propagation, and the second set was performed by pacing at the LV endocardial apex to elicit apicobasal propagation. At each location, the myocardium was paced at a cycle length of 600 ms for 10 beats with stimuli of 2 ms duration and twice diastolic threshold amplitude. Activation maps were generated for the 10th beat by computing, at each location within the myocardium, the moment in time when the action potential upstroke velocity reached maximum. Differences in the activation maps between simulations with LDRB and DTI-derived fiber orientation were quantified using the methods of Han et al.,13 (link) in which a relative difference (RD), root mean square difference (RMSD), and correlation coefficient (CC) were computed for each pacing protocol.
Publication 2012
Action Potentials Canis familiaris Diastole Electricity Endocardium Epicardium Fibrosis Heart Heart Ventricle Microtubule-Associated Proteins Myocardium PACE protocol Plant Roots
We implanted in all 13 dogs a Data Sciences Inc (DSI) D70-EEE radiotransmitters to record ANA activity and simultaneous ECG according to methods described in detail elsewhere.7 (link) Briefly, a DSI transmitter was implanted to subcutaneous tissues. Left stellate ganglion nerve activity (SGNA) was registered by suturing one pair of bipolar electrodes onto the caudal half of the left stellate ganglion (LSG) beneath its fascia. To record cardiac vagal nerve activity (VNA), another pair of bipolar electrodes was sutured onto the superior cardiac branch of the left vagal nerve. The final bipolar pair was sutured onto the LA epicardium or subcutaneously as surface ECG. Telemetered signals from the transmitter were acquired continuously, 24 hrs a day 7 days a week, while the dogs are ambulatory.
Publication 2008
Canis familiaris Epicardium Fascia Heart Nervousness Pneumogastric Nerve Stellate Ganglion Subcutaneous Tissue

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Publication 2015
Body Surface Area Echocardiography Endocardium Epicardium Gender Human Body Rate, Heart Reading Frames Stains Strains Systole Tissues Ultrasonography

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Publication 2009
Cells Cerebral Ventricles Dietary Supplements Endocardium Epicardium Homo sapiens Ion Channel Kinetics Membrane Transport Proteins Muscle Cells

Most recents protocols related to «Epicardium»

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Publication 2023
Epicardium Epistropheus Heart Myocardium Ventricles, Right

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Publication 2023
Artery, Coronary Epicardium Myocardium
Electron beam CT scans were performed with GE (Healthcare, Milwaukee, USA) or Siemens (Healthineers, Erlangen, Germany) scanners without the use of contrast media. Each scan was analyzed using the calcium scoring software (IntelliSpace Portal, Philips Healthcare, Netherlands) to measure the total Agatston coronary artery calcification score (CACS), as described in detail previously [18 (link)]. EAT was defined as the fat tissue between the outer wall of the myocardium and the visceral layer of the pericardium [19 (link)]. We used the pulmonary artery bifurcation as the superior limit and the end of the left ventricular apex as the inferior limit of the heart. The pericardium was manually traced using a workstation with dedicated volumetric software (IntelliSpace Portal, Philips Healthcare, Netherlands). Then the software reconstructed EAT into a three-dimensional region and automatically measured EAT volume and average attenuation by including contiguous three-dimensional fat voxels ranged from − 190 to − 30 Hounsfield units (HU) as previously described [10 (link)] (Fig. 2).

Epicardial adipose tissue on computed tomography. Axial (A), sagittal (B), and coronal (C) images of epicardial adipose tissue quantification. Adipose tissue is highlighted in blue color and pointed out with white arrows. D A 3-D reconstruction of epicardial adipose tissue

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Publication 2023
Artery, Coronary Calcium Contrast Media Electron Beam Computed Tomography Epicardium Heart Left Ventricles Myocardium Pericardium Physiologic Calcification Pulmonary Artery Radionuclide Imaging Reconstructive Surgical Procedures Tissue, Adipose X-Ray Computed Tomography
EF is the fat deposit located between the visceral pericardium and the myocardium. EF density decreases with fat gain and increases with fat loss.[16 (link),21 (link)] In addition, EF density increases with inflammatory cell infiltration and metabolic dysfunction.[14 (link),16 (link),22 (link)] Therefore, the higher the density, the more metabolically active the fat deposition might be.[13 (link),23 (link)]EF density and volume were both assessed using non-contrast CT images and a semi-automated software (Aquarius Intuition version 4.4.11; TeraRecon Headquarters, Forster City, CA). The pericardium was manually traced on axial slices from the pulmonary artery bifurcation to the apex of the heart. A CT density between −190 and −30 HU was used to select the EF and exclude any other tissue. Mean EF density and volume were calculated using the software based on the adipose tissue area, the number of slices, slice thickness, and intersection gaps, and reported as a continuous value, expressed in HU and cm3.
Two observers both blinded to HIV status and clinical data measured EF volume and density using the semi-automated software. Inter-observer and intra-observer agreement for EF volume and density measurement were highly reproducible (intraclass correlation coefficient for inter-observer agreement 0.75 for EF volume and 0.99 for density; Intra-observer agreement 0.97 for EF volume and 0.97 for density).[24 (link)]
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Publication 2023
Artery, Coronary Cells Epicardium Inflammation Intuition Lung Myocardium Pericardium Tissue, Adipose Tissues
The monophasic pulse voltage Va=P(t) was applied on the left electrode, and the zero voltage Vb=0 was applied on the right electrode. The boundary of the plastic catheter and the epicardium represents the zero electric flux condition and is expressed as: nσV=0
where n is the normal unit vector to the epicardium surface.
As shown in Figure 4, a typical monophasic PFA waveform usually contains parameters such as pulse width, pulse amplitude, pulse interval, pulse number, etc. The ranges of PFA parameters used in this study were derived from the PFA in AF treatment [20 (link)] or animal experiences [21 (link),22 (link)], as shown in the following:
The pulse width of P(t) is fixed at 100 μs as used in most studies; the pulse amplitude ranges from 1000 V to 2000 V [20 (link)]; the pulse interval ranges from 250 ms to 1000 ms [21 (link)]; and the pulse number ranges from 10 to 60 [22 (link)].
In order to highlight the influence of a single PFA parameter on the temperature rise and myocardial ablation volume of the model, this study took the remaining PFA parameters as the minimum influence on the temperature rise during PFA when investigating a single PFA parameter (minimum pulse amplitude: 1000 V, maximum pulse interval: 1000 ms, and minimum pulse number: 10). The details of the PFA parameter setting are listed in Table 1.
It can be seen from Table 1 that the influence of different PFA parameters on the temperature rise and ablation volume of the model was investigated in each of the three consecutive groups, including group 1 to 3 for pulse amplitude, group 4 to 6 for pulse interval, and group 7 to 9 for pulse number.
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Publication 2023
Animals Catheters Cloning Vectors Electricity Epicardium Myocardium Pulse Rate Vision

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More about "Epicardium"

Epicardium, the outermost layer of the heart, is a crucial component of cardiac structure and function.
This connective tissue layer provides a protective and lubricating surface for the heart, enabling smooth and efficient movement.
Epicardium research is vital for understanding the underlying mechanisms of cardiac physiology and developing novel therapies for heart-related diseases.
Researchers can leverage powerful tools like PubCompare.ai to optimize their Epicardium studies.
This AI-driven platform helps identify the best research procedures from literature, preprints, and patents, allowing scientists to streamline their workflow and find the top protocols and products for their investigations.
When studying Epicardium, researchers may utilize a variety of techniques and equipment, such as Cvi42, MATLAB, Vivid E9, and Vevo 2100 imaging systems, as well as Collagenase type II and H9 human embryonic stem cells (hESCs).
The TRIzol reagent can be used for RNA extraction, and the FV1000 confocal microscope may be employed for high-resolution imaging of Epicardial tissue.
By leveraging the insights gained from these tools and techniques, researchers can gain a deeper understanding of the Epicardium's role in cardiac function and develop more effective therapies for heart-related conditions.
PubCompare.ai's cutting-edg tools can help streamline this process and optimize Epicardium research, ultimately leading to advancements in cardiovascular science and improved patient outcomes.