Cerebrovascular Diseases

Cone Beam CT (CBCT) is an imaging modality used in interventional digital subtraction angiography (DSA). It produces three-dimensional images via cone-beam X-ray scanning and computer reconstruction. Clinically, CBCT guides puncture for pulmonary and hepatic lesions and evaluates post-intervention outcomes in liver cancer and cerebrovascular diseases. However, CBCT-guided interventions carry high patient radiation exposure; dose reduction often degrades image quality and impairs procedural results. Studies report that each 100 mGy radiation increment elevates cancer risk by 1.96-fold. Artificial intelligence enables low-dose CBCT. Our prior DeepPriorCBCT model embedded anatomical priors using neural discrete representation learning, reducing thoracic CBCT dose to one-sixth of routine protocols while preserving image quality. We further developed DeepPriorCBCT-V2 using 55 000 pre-reconstruction CBCT datasets covering brain, thorax and abdomen. This multi-organ model maintains image quality at one-sixth standard radiation dose. Nevertheless, its real-world clinical performance remains unvalidated. We therefore designed this prospective multicenter randomized controlled trial to evaluate the clinical applicability of DeepPriorCBCT-V2.

Firstly, to screen out the high-risk population of COPD combined with cardiovascular and cerebrovascular diseases, COPD with cardiovascular and make a diagnosis. Then, to evaluate the therapeutic effect of Pulmonary rehabilitation exercise and usual care for three months. And finally, to build a trinity model of rehabilitation management of COPD patients. The objective of this project is to establish and promote the application of diagnostic and treatment norms.

This study encompasses the maintenance and utilization of a repository of samples from patients with cerebrovascular disease and stroke. The types of tissue taken are blood, cerebrospinal fluid (CSF), tissue, and microdialysis samples. Future analysis of these samples can potentially help investigators to better categorize groups of patients, understand the underlying etiology of these pathologies, identify markers that are associated with favorable or poor outcomes, and track changes that occur during the natural course of the disease or with treatment. This is a prospective observational study which will use samples from such patients to create this library which can be used to explore these questions in the future.

The purpose of this study is to understand more about why young people who were born to a hypertensive pregnancy may have increased risk of high blood pressure and are often at increased risk of heart and blood vessel disease later in life.