Spectral Precise Image Study for Coronary Artery

Image Quality Evaluation of Coronary CT Angiography Using Deep Learning-Based Spectral Precise Image Reconstruction

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07620457

Enrollment

200

Registered

2026-06-02

Start date

2026-06-01

Completion date

2026-12-31

Last updated

2026-06-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiac

Brief summary

This is a single-center, comparative, observational, retrospective data study. Datasets from patients who underwent spectral coronary CT angiography (CCTA) for suspected coronary artery disease (CAD) or other diagnosis needs as part of their routine clinical evaluation will be included.

Detailed description

Eligible dataset will be selected from the existing CT scan datasets generated at the study site, based on the CT scanning parameters, enrolled study participant datasets will be divided into Group A (120kVp, DRI=30) and Group B (100kVp, DRI=24). One hundred cases are planned to be enrolled in each group, with a total target of 200 datasets to be collected.

Interventions

DEVICENon-Interventional Study

This is an observational study

Study design

Observational model

CASE_CONTROL

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Yes

Inclusion criteria

1. Datasets from Patients who underwent spectral coronary CT angiography (CCTA). 2. Datasets from study participants with age ≥ 18 years old. 3. Scan parameters that meet the criteria defined in the 5.4.3.

Exclusion criteria

1. The clinical data information is considered incomplete after evaluation by the investigator. 2. The investigator determined that poor image quality (e.g. obvious artifacts, missing critical scan layers) would not satisfy post-processing analysis. 3. Data of patients deemed inappropriate for inclusion after evaluation by the investigator.

Design outcomes

Primary

Measure	Time frame	Description
Subjective Image quality using 5 Liket-scale (1-5)	From date of image reconstruction until the date of image reading completion, anticipated 3Months.	The subjective image quality will be assessed by 2 radiologists using Liket-scale on a range from 1(poor) to 5(Excellent).

Secondary

Measure	Time frame	Description
Objective image quality	From the date of image reconstruction completion to the date of image reading completion, anticipated up to 3 months	The objective image quality will be evaluated by measuring the CT value shown in the image.

Countries

China

Contacts

CONTACTJie Liu

liujieict@163.com+863613852079

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 3, 2026