Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
92 participants
INTERVENTIONAL
2021-06-01
2024-06-30
Brief Summary
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Detailed Description
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Coronary artery computed tomography angiography (CCTA) can provide a variety of anatomical information such as the degree of coronary artery stenosis and the nature of plaques. It is a commonly used tool for non-invasive imaging diagnosis of coronary heart disease. However, because of its low diagnostic specificity and can not reflect the lesion-related myocardial ischemia, the positive rate of coronary heart disease and the rate of revascularization in patients undergoing ICA are low. In recent years, based on CCTA data, CT-derived fractional flow reserve (CT-FFR) developed by artificial intelligence and other technologies can provide both anatomical and functional information of coronary artery disease. A number of studies have shown that, compared with CCTA alone, CT-FFR has a better ability to diagnose coronary ischemic lesions and can effectively reduce the need for unnecessary ICA, to predict revascularization more accurately. Due to the absence of metal foreign body implantation, DCB intervention makes it possible for CT-FFR to be used in imaging evaluation after DCB. At present, there is no study on the use of CT-FFR in patients after DCB.
In this study, the self-developed CT-FFR based on artificial intelligence was used for the first time to analyze coronary artery lesions in patients after DCB, and to compare the guiding value of CT-FFR and simple CCTA in ICA and revascularization, in order to provide an ideal non-invasive imaging follow-up tool for elderly patients after DCB.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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CT-FFR
The CCTA images of the patients in this group will be analyzed and the FFR values of the lesions will be measured using the indicated software. ICA will be determined according to the value of CTFFR.
CT-FFR
CCTA examination will be performed by qualified medical imaging technicians, and patients will be scanned with 256rows of CT, according to standard operating norms. The coronary artery physiological function evaluation software(Keya Medical Technology, Beijing, China)will be configured in the core laboratory in advance, and the relevant imaging analysts will be trained. The core laboratory will receive the CCTA inspection data and evaluate the CCTA image quality. According to the standard operation flow of the software specification, the CT-FFR analysis will be carried out on the images that meet the requirements, and the CT-FFR value of the lesions will be measured.
direct ICA
The patients will be submitted to undergoing ICA procedure according to the decision of the investigators.
No interventions assigned to this group
Interventions
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CT-FFR
CCTA examination will be performed by qualified medical imaging technicians, and patients will be scanned with 256rows of CT, according to standard operating norms. The coronary artery physiological function evaluation software(Keya Medical Technology, Beijing, China)will be configured in the core laboratory in advance, and the relevant imaging analysts will be trained. The core laboratory will receive the CCTA inspection data and evaluate the CCTA image quality. According to the standard operation flow of the software specification, the CT-FFR analysis will be carried out on the images that meet the requirements, and the CT-FFR value of the lesions will be measured.
Eligibility Criteria
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Inclusion Criteria
2. 6-12 months after DCB for coronary heart disease, there is no contraindication of coronary artery CTA examination.
3. Non-target lesions of unplanned revascularization within 6 months.
4. According to the clinical manifestations and auxiliary examinations (such as EET, SPECT, CCTA), the attending doctor will make a comprehensive judgment on the patients who plan to undergo ICA.
Exclusion Criteria
2. Persistent or active symptoms of clinical instability, including acute chest pain (sudden onset), cardiogenic shock, unstable blood pressure (systolic blood pressure less than 90 mmHg), severe congestive heart failure (NYHA heart function III or IV) or acute pulmonary edema.
3. Acute myocardial infarction occurred within 7 days before selection.
4. Patients with other severe diseases are not suitable to participate in clinical trials, such as history of complex congenital heart disease, sick sinus syndrome, long QT syndrome, severe arrhythmia or tachycardia, severe asthma, severe or extremely severe chronic obstructive pulmonary disease, chronic renal dysfunction (serum creatinine level \> 2.0mg / dl or creatinine clearance \< 30ml/ Kg ยท1.73m2).
5. Allergic to iodinated contrast medium.
6. Other serious allergic diseases such as allergic asthma.
7. Pregnancy or pregnancy status unknown.
8. Life expectancy is less than 6 months.
9. There are any factors that other researchers think are not suitable for selection or completion of this study.
\-
1. Obvious dislocation of coronary artery image.
2. CCTA images indicate that the reference vessel diameter of the stenotic segment is less than 2.0mm.
3. The image of coronary artery calcification accounting for more than 80% of the cross-sectional area of the lumen.
4. The standard deviation of CT value (SD value) of aortic root image was higher than that of 30HU.
5. Coronary artery occlusion.
6. The CT-FFR measurement can not be completed due to the quality problem of the image file.
7. The clinical trial could not be completed and no effective data were obtained due to other reasons.
18 Years
80 Years
ALL
No
Sponsors
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Cancer Institute and Hospital, Chinese Academy of Medical Sciences
OTHER
Peking Union Medical College
OTHER
Beijing Hospital
OTHER_GOV
Responsible Party
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Xue Yu
Vice Director of Cardiology Department
Principal Investigators
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Xue Yu, MD
Role: STUDY_CHAIR
Beijing Hospital
Locations
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Beijing Hospital
Beijing, , China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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CT-FFR after DCB
Identifier Type: -
Identifier Source: org_study_id
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