Clinical Trial Details
— Status: Recruiting
Administrative data
NCT number |
NCT04664439 |
Other study ID # |
CT-FFR after DCB |
Secondary ID |
|
Status |
Recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
June 1, 2021 |
Est. completion date |
June 30, 2024 |
Study information
Verified date |
February 2023 |
Source |
Beijing Hospital |
Contact |
Xue Yu, MD |
Phone |
00861085132266 |
Email |
yuxuemd[@]aliyun.com |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
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. 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.
Description:
Drug-coated balloon (DCB) intervention is a non-drug treatment of coronary heart disease with
the advantage of "no implantation". In recent years, it is more and more used in primary
coronary artery disease. Timely detection of restenosis after DCB is very important to ensure
the safety of patients. Invasive coronary angiography (ICA) is the "gold standard" to reflect
coronary artery stenosis, but it is difficult to become a routine follow-up tool for surgical
trauma, radiation exposure and other reasons, let alone for elderly patients.
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.