Clinical trials

This research takes patients with cerebrovascular diseases as the research subjects and employs the experimental design of a prospective cohort study, aiming to innovatively develop and validate a "one-stop" multimodal CT examination scheme. The 301-CTAP multimodal CT technique implies that three modalities are acquired through a single collection, including head and neck CTA (head and neck CTA), multiphase CTA imaging of the brain (multiphase CTA), and CT perfusion imaging of the brain (CT perfusion).

In this study, patients with chest pain, lung cancer, pulmonary embolism, and routine inpatient physical examination were selected as the research objects, and the experimental design of retrospective cohort study was adopted to carry out artificial intelligence analysis related to pulmonary vascular diseases in patients with multi-dimensional big data. The multi-modal CT acquisition process included plain scan CT(NCCT) and CT pulmonary angiography (CTPA). Ctpa-like image effects can be simulated or reconstructed by non-enhanced plain scan CT images, so that CTPA-like image quality can be obtained without injecting contrast agent. The synthetic CTPA images were further analyzed by artificial intelligence to assist doctors in the intelligent diagnosis of pulmonary vascular diseases.