CCTA, CACS and ECG Stress Testing in Patients With Suspected CAD: Precision Phenotyping and Financial Evaluation

Summary

The "DATASET-PRECISE", a 3-arm parallel randomized study, aims to provide new insights in risk stratification of patients with suspected CAD in the Greek population. The convergence of information derived from exercise ECG stress test, CACS, CCTA and metabolomic profiling in artificial intelligence algorithms describes in brief the main objective of this protocol. The design of the present proposal is based on current state-of-the-art literature, incorporating, however, additional innovative elements. It is about the first randomized study to be conducted in Greece, investigating the role of CCTA and CACS in CAD diagnosis and risk assessment. Moreover, the present protocol aims to integrate information on patients' metabolomic profiling. The process of the whole information by using artificial intelligence technology will lead to the development of new risk stratification algorithms, promoting further personalized diagnostic and therapeutic approach. Regarding Greece, this is the first prospectively enrolling medical database of this scale.

Conditions

• Stable Angina
• Coronary Artery Disease
• Atherosclerosis
• Coronary Artery Calcification

Interventions

DIAGNOSTIC_TEST

CCTA

Coronary Computed Tomography Angiography

Sponsors & Collaborators

• Lefkos Stavros The Athens Clinic

  collaborator UNKNOWN

• National and Kapodistrian University of Athens

  collaborator OTHER

• Aristotle University Of Thessaloniki

  lead OTHER

Principal Investigators

• Haralambos Karvounis, Prof. in Cardiology · Aristotle University Of Thessaloniki

• Georgios Giannakoulas, Prof. in Cardiology · Aristotle University Of Thessaloniki

• Periklis Kounatiadis, MD, PhD · Aristotle University Of Thessaloniki

• Panagiotis Bamidis, Prof. in Bioinformatics · Aristotle University Of Thessaloniki

• Georgios Rampidis, MD, MSc · Aristotle University Of Thessaloniki

• Olga Deda, PhD · Aristotle University Of Thessaloniki

• Antonios Billis, PhD · Aristotle University Of Thessaloniki

Study Design

Allocation

RANDOMIZED

Purpose

DIAGNOSTIC

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2021-01-01

Primary Completion

2023-06-30

Completion

2023-12-31

Countries

• Greece

Study Locations