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Cardiac MRI in Heart Transplantation: Approaches and Clinical Insights.

Radiographics

February 2025

From the Department of Radiology (S.Q., R.C., J.C.C., M.M., B.D.A., R.A.) and the Division of Cardiology, Department of Medicine (V.A., J.E.W., R.L.W., D.C.L.), Northwestern University Feinberg School of Medicine, 737 N Michigan Ave, Ste 1600, Chicago, IL 60611; Prince Charles Hospital, Chermside, Queensland, Australia (V.A.); and the Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Chicago, Ill (M.M.).

Orthotopic heart transplant (OHT) is a well-established therapy for end-stage heart failure that leads to improved long-term survival rates, with careful allograft surveillance essential for optimizing clinical outcomes after OHT. Unfortunately, complications can arise after OHT that can compromise the success of the OHT. Cardiac MRI is continually evolving, with a range of advanced techniques that can be applied to evaluate allograft structure and function.

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Intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver tumor and remains a fatal malignancy in most patients. Only 20% to 30% of patients can be treated with potentially curative surgical resection. Local therapies such as radioembolization and hepatic arterial perfusion may be a more effective treatment strategy.

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Background: A minority of patients with stroke qualify for intravenous thrombolysis (IVT) within 4.5-hour window. The safety and efficacy of IVT beyond this period have not been well studied.

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An AI-assisted algorithm has been developed to improve the detection of significant coronary artery disease (CAD) in high-risk individuals who have normal electrocardiograms (ECGs). This retrospective study analyzed ECGs from patients aged ≥ 18 years who were undergoing coronary angiography to obtain a clinical diagnosis at Chang Gung Memorial Hospital in Taiwan. Utilizing 12-lead ECG datasets, the algorithm integrated features like time intervals, amplitudes, and slope between peaks, a total of 561 features, with the XGBoost model yielding the best performance.

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Therapeutic efficacy and safety of adeno-associated virus (AAV) liver gene therapy depend on capsid choice. To predict AAV capsid performance under near-clinical conditions, we established side-by-side comparison at single-cell resolution in human livers maintained by normothermic machine perfusion. AAV-LK03 transduced hepatocytes much more efficiently and specifically than AAV5, AAV8 and AAV6, which are most commonly used clinically, and AAV-NP59, which is better at transducing human hepatocytes engrafted in immune-deficient mice.

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