Clinical Application of a Low-Dose CBCT AI Model
Eligible age
18+ yrs
Accepts
All genders
Locations
0 states
Healthy volunteers
No
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About this study
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.
Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
You may qualify if…
- ✓ Age ≥18 years.
- ✓ Requires CBCT-guided interventional treatment or surgery (e.g., cerebral angiography, lung puncture biopsy, hepatic artery chemoembolization, or percutaneous liver biopsy) and meets operational indications.
- ✓ Can understand the study's purpose, procedures, potential risks, and benefits, and voluntarily signs a written informed consent form.
You may not qualify if…
- ✕ History of high-dose radiation exams or treatments.
- ✕ Known allergies or severe adverse reactions to iodine contrast agents or other relevant medications.
- ✕ Pregnant or breastfeeding women.
- ✕ Severe comorbidities or chronic diseases (e.g., severe diabetes, renal insufficiency).
- ✕ Severe mental illness or cognitive impairment preventing understanding of the study procedures or providing informed consent.
- ✕ ⑥ Participants are not suitable for the trial per investigator's opinion.
Source: ClinicalTrials.gov · NCT07845929 · last updated 2026-09-29