All clinical trials

Retrospective monocentric study evaluating different immunohistochemical phenotypes related to mitochondrial functions with treatment outcomes

Researchers are looking to further our knowledge on disease biology and treatment selection for gastroesophageal adenocarcinoma. The purpose of this study is to see how useful it is to look for changes and characteristics in your genes (molecules that contain instructions for the development and functioning of the cells) and the genes within the tumour. These characteristics may be useful in choosing treatments for patients for the future.

Myopia is a common cause of vision loss, being particularly prevalent in children in East and Southeast Asia. The investigators will assess prevalence and incidence of myopia, identify digital biomarkers associated with myopia, and validate algorithms for the detection and/or predition of myopia and other ocular abnormalities in school-aged children in both urban and rural settings in Southern China.

The aim is to evaluate the impact of a complete course of antenatal steroids treatment on mortality and main morbidities in a current population of preterm infants.

Postoperative delirium is a common and important complication in patients. The aim of this study was to investigate whether preoperative anxiety predicted onset of postoperative delirium in elderly patients undergoing orthopaedic surgery, so as to help develop preventive approaches.

Based on the large population of patients, in-stent restenosis (ISR) is still an important problem in the field of cardiovascular disease. How to reduce the incidence of ISR and the treatment of ISR has become the focus and hot spot. The 2018 ESC Guidelines for Cardiovascular Intervention recommends treatment of ISR under the guidance of intravascular ultrasound (IVUS), or optical coherent tomography (OCT). Circulation published a new Waksman ISR classification based on mechanisms and components of the restenosis tissue, which provides guidance for treatment strategy. Because of its good resolution, OCT makes it more accurate to distinguish the components of vascular tissue, thus providing a decision-making basis for interventional therapy. OCT examination can obtain the characteristics of the ISR more precisely. Neoatherosclerosis (NA), is one of the ISR types and accounts for more stent failure and target lesion failure than other types. Identification NA is important for decision-making of interventional therapy. However, the acquisition and analysis of OCT images not only need the digital angiography machine (DSA) equipped with the majority of hospitals, but also need professional OCT imaging equipment and technicians. Patients with severely CKD cannot bear OCT examination because of the large amount of contrast agent. OCT catheter is more than ten times the price of the CAG catheter. Therefore, identification of NA by the use of artificial intelligence (AI) is of significance to set therapeutic strategy for ISR patients, especially in patients with CKD. Our study retrospectively analyzed CAG images and OCT images of ISR patients obtained from Jan 1st,2015 to Oct 31st,2020. Identify NA by analyzing OCT images, build up U-net and V-net to analyze the CAG and OCT images, and finally build up an identification system of NA based on CAG images by AI. This study has been approved by Ethics Committee of Chinese PLA General Hospital (S2018-033-01)

On clinically indicated Cardiovascular Magnetic Resonance studies, native T1-times and extracellular volume of the liver will be assessed and findings correlated with established risk calculators for non-alcoholic fatty liver disease.

The study intends to provide important data on whether the noval method using quantitative flow ratio could predict microvascular dysfunction.

Slit-lamp images are widely used in ophthalmology for the detection of cataract, keratopathy and other anterior segment disorders. In real-world practice, the quality of slit-lamp images can be unacceptable, which can undermine diagnostic accuracy and efficiency. Here, the researchers established and validated an artificial intelligence system to achieve automatic quality assessment of slit-lamp images upon capture. This system can also provide guidance to photographers according to the reasons for low quality.

Prospective Observation study to identify the rate of MACE in AMI with Livalo V(Pitavastatin/Valsartan) for 12 month in Korea