Evaluating deep learning for improving low-dose CT scans
Evaluation of Deep Learning Reconstruction Algorithms in Dual Low-dose CT Vascular Imaging
This study is testing if using advanced computer technology can improve the quality of low-dose CT scans for patients needing imaging of the head, neck, heart, or abdomen.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1200 (estimated) |
| Ages | 18 Years to 90 Years |
| Sex | All |
| Sponsor | Tongji Hospital Academic / other |
| Locations | 1 site (Wuhan, Hubei) |
| Trial ID | NCT06372756 on ClinicalTrials.gov |
What this trial studies
This observational study aims to assess the effectiveness of deep learning image reconstruction techniques on the quality and diagnostic accuracy of double low-dose computed tomography angiography (CTA) scans. It includes data from patients who underwent head and neck, coronary, and abdominal CTA, comparing standard dose and double low-dose methods. The study will utilize various reconstruction techniques, including filtered back projection and iterative reconstruction, to determine the feasibility of deep learning in enhancing image quality and diagnostic performance.
Who should consider this trial
Good fit: Ideal candidates include patients requiring head and neck, coronary, or abdominal CTA due to conditions like stroke, coronary heart disease, or abdominal tumors.
Not a fit: Patients under 18 years old, pregnant women, those with allergies to iodine contrast agents, renal insufficiency, or severe hyperthyroidism may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved diagnostic capabilities while reducing radiation exposure for patients undergoing CT scans.
How similar studies have performed: While the application of deep learning in medical imaging is a growing field, this specific approach to double low-dose CTA is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with head and neck CTA, coronary artery CTA, and abdominal CTA due to stroke, coronary heart disease and abdominal inflammatory disease, and abdominal tumors. Exclusion Criteria: * Age \<18 years, pregnancy, allergic reaction to iodine contrast agent, renal insufficiency, and severe hyperthyroidism.
Where this trial is running
Wuhan, Hubei
- Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology — Wuhan, Hubei, China (Recruiting)
Study contacts
- Principal investigator: Hao Tang, Doctor — Tongji Hospital
- Study coordinator: Youfa M Tang, Doctor
- Email: 1525573397@qq.com
- Phone: 8613554101223
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.