Role of On-site CT-derived FFR in the Management of Suspect CAD Patients

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

1216 participants

Study Classification

INTERVENTIONAL

Study Start Date

2019-05-10

Study Completion Date

2022-10-31

Brief Summary

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The primary of this registry is to evaluate whether the availability of CTA/CT-FFR procedure could effectively optimize the flow of clinical practice of stable chest pain versus conventional clinical pathway in decision making, avoid the overuse of invasive procedure, finally improve clinical prognosis and reduce total medical expenditure. This registry is randomized, open labeled, prospective designed and will be performed in 6 Chinese hospitals. Approximately 1200 subjects will be enrolled and subsequently assigned to either routine clinically-indicated diagnostic care group (CID arm) or CTA/CT-FFR care group (CTA/CT-FFR arm) via computer-generated random numbers (1:1 ratio)

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Detailed Description

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Based on the clinical fact that less stress myocardial perfusion scan are performed rather than stress exercise electrocardiogram (ECG) in China, more patients undergo coronary computed tomographic angiography (CTA) for determining whether they should be sent to catheter lab. However, nearly 30% of patients sent to catheter lab were found without obstructive coronary artery disease (CAD) and this invasive procedure was unnecessary and overused partly. Fortunately, fractional flow reserve (FFR) based non-invasive CT algorithm technology (CT-FFR) showed a great potential in detecting functional myocardial ischemia related to coronary specific lesion (Discovery-Flow, DEFACTO and NXT trial)\[1-3\]. Moreover, clinical care guided by CT-FFR could provide benefits with equivalent clinical outcomes and lower expenditure, compared with routine clinical care over 1-year follow-up (Platform trial). On the other aspect, ADVANCE trial revealed that CT-FFR modified treatment recommendation was associated with less negative invasive coronary angiography (ICA), predicted revascularization and identified subjects at low risk of adverse events through 90 days in real-world. However, these studies was not randomized designed and selection bias still existed. So our trial aims to evaluate whether CTA/CT-FFR outperforms the regular diagnostic care in ruling out patients without significantly obstructive CAD before catheter lab and improving clinical prognosis during follow-up in a randomized design.

Conditions

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Coronary Artery Disease

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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CTA/CT-FFR care group

If the subjects are randomly allocated to CT-FFR arm, they will be examined by on-site DeepFFR for three major epicardial coronary arteries. If the result of CT-FFR calculation is less than or equal to 0.8 in one or more major coronary arteries, the patient will be referred to ICA directly; if the result of CT-FFR value is more than 0.8, optimal medical therapy will be recommended. The decision on the mode of revascularization is left to the treating cardiologists and depends on local practice standard.

Group Type EXPERIMENTAL

CT-FFR assessment

Intervention Type DIAGNOSTIC_TEST

When subjects are randomized to the CTA/CT-FFR arm, FFR based on the coronary CTA imaging will be measured. DEEPVESSEL FFR workstation is very dedicated software utilizing the original CTA imaging to meter simulated FFR values based on a machine learning algorithm. The first step is to extract a 3D coronary artery model and generate coronary centerlines which are similar to the routine reconstruction of coronary CTA. The centerlines are extracted using a minimal path extraction filter. Then a novel path-based deep learning model, referred to DEEPVESSEL FFR, is used to predict the simulated FFR values on the vascular centerlines. Deep learning algorithm is used to establish characteristic sample database of coronary hemodynamics characteristic parameters. When deep training model is proved to be valid, it is applied to a new lesion-specific measurement. Lesion-specific CT-FFR is defined as simulated FFR value at distance of 20mm away from the lesion of interest.

Routine clinically-indicated diagnostic care group

If the subjects are randomized to usual care arm, attending physicians will decide the next step of diagnosis and treatment, such as exercise ECG, stress cardiac echo, cardiac MR, and SPECT. According to the results of examination combined with risk factors assessment and clinical manifestations, physicians should provide recommendation whether the subjects would undergo ICA or not.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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CT-FFR assessment

When subjects are randomized to the CTA/CT-FFR arm, FFR based on the coronary CTA imaging will be measured. DEEPVESSEL FFR workstation is very dedicated software utilizing the original CTA imaging to meter simulated FFR values based on a machine learning algorithm. The first step is to extract a 3D coronary artery model and generate coronary centerlines which are similar to the routine reconstruction of coronary CTA. The centerlines are extracted using a minimal path extraction filter. Then a novel path-based deep learning model, referred to DEEPVESSEL FFR, is used to predict the simulated FFR values on the vascular centerlines. Deep learning algorithm is used to establish characteristic sample database of coronary hemodynamics characteristic parameters. When deep training model is proved to be valid, it is applied to a new lesion-specific measurement. Lesion-specific CT-FFR is defined as simulated FFR value at distance of 20mm away from the lesion of interest.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* New-onset chest pain suspicious for CAD
* Coronary CTA result showed that the diameter stenosis is between 30 and 90% in at least one major coronary artery (coronary artery diameter ≥ 2.5 mm)
* Intermediate-to-high pretest probability of CAD based on CAD Consortium Score
* No prior evaluation for this episode of symptoms
* Agree to participate in this clinical study and sign written informed consent

Exclusion Criteria

* Diagnosed or suspected acute coronary syndrome requiring hospitalization or emergent testing
* Hemodynamically or clinically unstable condition systolic blood pressure \< 90 mmHg or serious atrial or ventricular arrhythmias
* Known CAD with prior myocardial infarction, percutaneous coronary intervention (PCI), coronary artery bypass graft (CABG), or any angiographic evidence of ≥ 50% stenosis in any major coronary artery
* Patients with left main branch stenosis ≥ 50% or major coronary artery stenosis \> 90%
* Known severe congenital, valvular (moderate and above), or cardiomyopathy process (hypertrophic cardiomyopathy or reduced systolic left ventricular function ≤ 40%) which could explain cardiac symptoms
* Unable to provide written informed consent or participate in long-term follow-up.

Minimum Eligible Age

40 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No