Artificial Intelligent Image Processing and Diagnosis of Pulmonary Vessels in CT

Launched by XIN LOU · Sep 6, 2024

Keywords

ClinConnect Summary

This clinical trial is exploring how artificial intelligence (AI) can help doctors diagnose problems with the blood vessels in the lungs using CT scans. Specifically, it's looking at patients who have chest pain, lung cancer, or suspected blood clots in the lungs (pulmonary embolism). The study aims to improve the quality of images taken without needing to inject a special dye, making it easier to detect issues with the pulmonary blood vessels. The researchers will use advanced AI techniques to analyze these images and assist healthcare providers in making more accurate diagnoses.

To participate in the trial, individuals must be between 18 and 100 years old and have had CT scans related to their lung condition. However, people with certain health issues, such as severe heart problems or specific aortic conditions, may not be eligible. If someone qualifies and joins the study, they can expect to undergo CT imaging that includes both standard scans and specialized pulmonary scans, which will be analyzed by AI to improve diagnosis accuracy. Overall, this trial aims to enhance the way lung vascular diseases are diagnosed, potentially leading to better treatment outcomes for patients.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Age ≥18≤100 years old Scan the pulmonary artery and its major branches Patients with suspected pulmonary embolism who received CTPA had a set of CTPA and CT scans The image quality meets the requirements of diagnosis and post-processing Patients who completed the examination in accordance with the data collection criteria Clinical data and follow-up were complete
• Exclusion Criteria:
• • Age \<18 years or age \>100 years The image is incomplete or incorrect Pulmonary artery absent or underenhanced Severe motion artifacts or image noise affect evaluation of pulmonary embolism History of aortic reconstruction, replacement, or stent implantation Congenital variations in the whole or important branches of the aorta in adults (e.g. bovine aortic arch, abnormal right subclavian artery) Severe hypovolemia and hemodynamic instability Severe heart failure with low ejection fraction Dialysis patient