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Clinical trialNCT06372756UnknownObservational

Deep Learning Reconstruction Algorithms in Dual Low-dose CTA

SponsorHao TangEnrollment1,200Deep Learning
View the registry record on ClinicalTrials.gov

Summary

The lay summary the sponsor registered on ClinicalTrials.gov.

The goal of this observational study is to evaluate the impact of deep learning image reconstruction on the image quality and diagnostic performance of double low-dose CTA. The main question it aims to answer is to explore the feasibility of deep learning image reconstruction in double low-dose CTA.

Investigators

The overall officials registered on this study. Names that resolve to a findmyKOL profile link to it; the rest are shown as registered.

A profile link is shown only when the registered name resolves to a person record with a confident, namesake-checked match; ambiguous names stay unlinked.

Sites

1 registered facility, with the per-site recruitment status where the registry publishes one. ClinicalTrials.gov does not publish per-site enrollment counts.

China
  • Tongji Hospital Affiliated To Tongji Medical College of Huazhong University of Science and Technology

    Wuhan, Hubei, China

    Recruiting

Site investigator names are published by ClinicalTrials.gov only while a study recruits, so completed studies list sites without them.

Drugs studied

No drug or biological interventions are in our data for this study — it may test a procedure, device or behavioral intervention, or the intervention list isn't in our current snapshot. See the registry record ↗. Why? →

Registration & key dates

Registry attributes as recorded on the ClinicalTrials.gov study record.

Start
1 Jun 2023
Primary completion
31 Dec 2025
Completion
31 Mar 2026
Last update posted
18 Apr 2024
Registered enrollment
1,200
Registry id
NCT06372756

Source: ClinicalTrials.gov, via the CTTI AACT database, data as of 24 Aug 2026. Registry facts are shown as registered by the study sponsor; findmyKOL does not interpret them.