Active clinical trials for "Constriction, Pathologic"

The purpose of this study is to determine if there is an increase in the frequency of formula change in patients with pyloric sctenosis prior to being correctly diagnosed.

The identification of the operative site of lumbar ductal stenosis and lumbar disc herniation is classically done by radioscopy, thus inducing irradiation of the patient. The use of ultrasound in spine surgery is little studied and poorly mentioned in the scientific literature. However, it is commonly used for other types of scouting (especially anesthetics). Thus, in the absence of consensus and clear recommendations, some practitioners perform ultrasound scans . Methodological developments also validate the feasibility of the ultrasound approach. The double benefit of an ultrasound identification is firstly a lack of exposure to X-rays for both the patient and the operating team and secondly a lower cost than a conventional radiography. The main objective is to demonstrate the interest of the ultrasound identification of the surgical site in the intervention of lumbar ductal stenosis and lumbar disc herniations in terms of concordance of the operating site between ultrasound and fluoroscopy.

The bile duct injury is a complication that occurs mainly after the cholecystectomy. Bile duct stricture is one of complications of this unwitting iatrogenic injury, the outcomes of surgery in this case are worse when the level of the stricture is above the helium. So what are factors influencing the occurrence of this high level bile duct obstruction ?

Age related changes in the lumbar spine can lead to narrowing of the spinal canal (spinal stenosis) causing leg and back pain. Spinal stenosis can be associated with a misalignment of the spine caused by forward slippage of a vertebrae over another. This instability is diagnosed using diagnostic imaging. With signs of instability the spine surgeon might choose a fusion of the vertebrae. This is a more complex procedure in relation to the simple decompression preformed without instability for spinal stenosis. The purpose of this study is to identify characteristics of instability of the lumbar spine on diagnostic imaging, and investigate associations with surgical data and patient reported outcomes from the National Spine databases from Denmark and Sweden. This will support spine surgeons in providing evidence-based surgical treatment for spinal stenosis with or without signs of instability

Background: Computer aided auscultation in the differentiation of pathologic (AHA class I) from no- or innocent murmurs (AHA class III) via artificial intelligence algorithms could be a useful tool to assist healthcare providers in identifying pathological heart murmurs and may avoid unnecessary referrals to medical specialists. Objective: Assess the quality of the artificial intelligence (AI) algorithm that autonomously detects and classifies heart murmurs as either pathologic (AHA class I) or as no- or innocent (AHA class III). Hypothesis: The algorithm used in this study is able to analyze and identify pathologic heart murmurs (AHA class I) in an adult population with valve defects with a similar sensitivity compared to medical specialist. Methods: Each patient is auscultated and diagnosed independently by a medical specialist by means of standard auscultation. Auscultation findings are verified via gold-standard echocardiogram diagnosis. For each patient, a phonocardiogram (PCG) - a digital recording of the heart sounds - is acquired. The recordings are later analyzed using the AI algorithm. The algorithm results are compared to the findings of the medical professionals as well as to the echocardiogram findings.

Physiology-based decision-making about the need for revascularisation in patients with stable coronary heart disease has consistently proven better clinical outcomes than a merely anatomical approach. However, against the current recommendations, revascularisation in most of patients with chronic coronary syndromes still relies on coronary angiography alone. The increase in costs and in procedural complexity of wire-based physiology may explain the latter. Therefore, a novel non-invasive functional quantitative flow ratio (QFR) index was created in order to solve it. A retrospective and multicentre study is performed to assess the 5-year prognosis of patients undergoing coronary angiography through a centralized QFR analysis. Consecutive participants with confirmed or suspected diagnosis of stable coronary disease who underwent a coronary angiography between 01/01/2015 and 12/31/2015 were included. Aims of the study: To evaluate the prognosis of stable coronary disease depending on the functional assessment of coronary artery disease. To determine the % of percutaneous coronary interventions that could be avoided if this study had been carried out through functional assessment of coronary artery disease based on 3-dimensional vessel reconstruction.

POLYPATCH® study is RWE multicentre study which examine short and long-term outcomes of using POLYPATCH® when exposed to a larger and more varied population. All data will be retrieved from medical charts for each patient from time of surgery (considered as baseline of study) until a maximum of 3 years after surgery. A minimum of 250 up to a maximum of 300 subjects will be evaluated from 3 to 8 different sites. At least 100 subjects will be evaluated in carotid location and at least 100 in femoral location.

There is a wealth of evidence implicating the important role of blood flow throughout all stages of the process of atherogenesis. Two locations along the vascular tree at which atherosclerotic plaques are typically found are the carotid artery (CA) and the superficial femoral artery (SFA). Nowadays, ultrasound is the technique of choice for assessing the vascular condition in the CA and SFA. However, clinically used ultrasound techniques show a large variability in estimating the blood flow velocity, due to multiple limitations. With the advent of ultrafast ultrasound imaging, (almost) all elements of the transducer can be activated simultaneously. These so-called plane wave acquisition acquires thousands of images per second and makes continuous tracking of blood flow velocities in all directions in the field of view possible. This high-frame-rate acquisition opened up new possibilities for blood flow imaging at the CA and SFA, such as blood Speckle Tracking (bST) and ultrasound Particle Image Velocimetry (echoPIV). Both these vector flow imaging (VFI) techniques enable the quantification of 2D blood flow velocity profiles, where bST uses no contrast agents compared to echoPIV. Beside these novel ultrasound based techniques, 4D Phase Contrast Magnetic Resonance Imaging (4D flow MRI) enables a non-invasive quantification of the 4D blood flow velocity profiles (3D + time) and can be used as reference standard for blood flow assessments in-vivo. We therefore aim to evaluate the performance of both VFI techniques in comparison to 4D flow MRI measurements in the CA and SFA of healthy volunteers.

The primary objective of the study will be to determine whether remote limb ischemic conditioning (RLIC) compared with sham RLIC (placebo) treatment reduces the 12-month risk of recurrent IS in patients with a recent TIA or IS caused by stenosis of a major intracranial artery. After screening period, eligible patients will be randomly allocated into 2 groups. In addition, all participants receive an usual clinical therapy.

Calcified aortic valve stenosis (CAVS) is a progressive disease and nowadays, the cornerstone in diagnostics and follow-up is echocardiography. Cardiac biomarkers (such as cardiac troponins T and I and NT-pro-BNP) hold promise to fulfil a role in early recognition of complications concerning the aortic valve and decompensation. For this purpose, it is important to assess the normal biological variation (BV) of cardiac biomarkers in CAVS. The assessment of biological variation will contribute to a better understanding of fluctuation of cardiac biomarkers in subjects with stable CAVS. These data will improve monitoring of CAVS using cardiac biomarkers.