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NCT07438327
This study will test how well an artificial intelligence (AI) software called Aorta AIM measures the size of the aorta (the body's main blood vessel) from CT scans. The aorta can become enlarged over time, which may lead to serious health problems. Doctors need to measure the aorta accurately to monitor patients and decide on treatment. Currently, doctors measure the aorta manually on CT scans, which takes time and can vary between different doctors. Aorta AIM is designed to measure the aorta automatically and consistently. In this study, researchers will compare Aorta AIM's measurements to those made by experienced radiologists or cardiologists (doctors who specialize in reading medical images). The study will use CT scans that have already been taken as part of routine medical care - no additional scans or procedures are needed. The study will include approximately 250 participants across multiple hospitals in Brazil and the United States. Participants will be adults who have had a chest or abdominal CT scan that shows their aorta. The main goals are to: * Check if Aorta AIM measures the aorta as accurately as radiologists * See if Aorta AIM can help doctors work more efficiently * Evaluate if the software works well in different hospital settings and with different types of patients This research may help improve how doctors monitor aortic disease and make treatment decisions in the future. There are no risks to participants since the study only uses existing medical images.
NCT07422129
Surgical indication in patients suffering from Ascending aorta aneurysm is currently based mainly on the maximum diameter of the aortic dilatation and on the yearly growth rate. Several clinical preoperative patients characteristics have been, potentially, correlated to impaired mechanical characteristics of aortic wall, and therefore to an increased risk of rupture and or dissection. On other hands, such suppositions have been never confirmed, as a full characterization of the mechanical behaviour of the ascending aortic tissue, especially in case of aneurysm, has not been fully clarified yet. Objective of this observational study is to better elucidate, using direct in vivo evaluation, the mechanical characteristics of the aortic wall in patients with ascending aorta diseases. Our study will have a further peculiar characteristic as we have the intention of compare such mechanical characteristics to those of patients, without known aortic diseases, undergoing heart transplantation. Potential correlation between, directly measured mechanical characteristics of the aortic wall, and preoperative parameters (anagraphic patients characteristics, clinical data and diagnostic tests) will be also investigated.
NCT07078383
The Goal of this Clinical Study is to evaluate the safety and effectiveness of the Rapidlink device in the repair or replacement of the supra-aortic vessels during open surgical repair of aortic disease affecting the thoracic aorta. This study will collect information on patients who are already having surgery to repair their aorta and who will have Rapidlink device implanted into one or more of the aortic arch vessels. The first 32 subjects enrolled will undergo left subclavian artery repair or replacement, only, with the Rapidlink device. After the 32nd subject, enrollment will proceed to include subjects undergoing any supra-aortic vessel (i.e., left subclavian artery, left common carotid artery, and/or innominate artery) repair or replacement with the Rapidlink device in a planned surgery. After the 32nd subject is enrolled in the main group, up to 30 subjects will undergo supra-aortic vessel (i.e., left subclavian artery, left common carotid artery, and/or innominate artery) repair or replacement with the Rapidlink device in an emergency setting. Data will be collected before, during and after surgery including recovery at discharge, 30 days, 6 months, 1 and 2 years after the surgery.
NCT07382375
Aortic dissection has acute onset and high mortality, with immunoinflammatory response driving lesion progression. Current perioperative anti-inflammatory therapies are mostly empirical and poorly targeted, and AI-assisted typing lacks a complete clinical translation pathway. This study integrates multi-dimensional data to construct an AI immunoinflammatory subtyping system, enabling rapid subtyping and establishing a "subtyping-target-treatment" closed loop for emergency needs. Using a prospective multicenter RCT, 300 patients are randomly divided into two groups: the experimental group receives subtyping-based precision therapy, while the control group uses empirical strategies (treatment of physician's choice). It observes 7-day postoperative SOFA score, SIRS and other prognostic indicators to provide evidence-based support for precision treatment.
NCT06336213
According to the literature, presepsin was recommended not only as an effective indicator in the diagnosis of sepsis in intensive care units, but also as a reliable prognostic marker of postoperative inflammatory processes in cardiac surgery. Previous study carried out in Petrovsky NRCS related to biomarkers in cardiac surgery and presepsin in particular showed good sensitivity in infection complications prognosis.
NCT05754541
To explore the effect and prognosis of endovascular interventional therapy in high-risk patients with aortic arch dissection and aneurysm