Multi-slice CT Coronary Angiography in Patients With Stable Angina

Benha University150 enrolled

Overview

early identification of vulnerable plaques by remodeling index prior to rupture and development of acute event is of considerable importance especially by a reliable non-invasive method as CT coronary angiography.

single-center, cross section, observational study included 150 patients with stable angina with normal resting ECG, negative markers, normal systolic function by 2D echocardiography (EF\>50%) and without regional wall motion abnormality at rest who were referred to MSCT evaluation of the coronary artery tree.

Study Type

OBSERVATIONAL

Enrollment

150

Conditions

Chronic Stable Angina

Interventions

multisclice CTRADIATION

assessment of the remodeling index by multisclice CT in patients with chronic stable angina

Eligibility

Sex: ALLMin age: 18 YearsMax age: 80 Years

Medical Language ↔ Plain English

Inclusion Criteria: * first attack, low to intermediate risk stable angina * normal resting ECG, * negative markers * normal systolic function by 2D echocardiography (EF\>50%) * without regional wall motion abnormality at rest who were referred to MSCT evaluation of the coronary artery tree. Exclusion Criteria: * previous acute coronary syndrome or revascularization, those with renal impairment or dye hypersensitivity, patients with morbid obesity (BMI\>40kg/m²), rhythm other than sinus rhythm inability to hold breath for 10sec to acquire the image lesions with heavy calcium score.

Outcomes

Primary Outcomes

remodeling of the coronary artery

to study the changes in wall of the arteries in patients with chronic stable angina early changes don't appear in coronary angiography as it occurs in the form of positive remodeling which can be detected by multisclice coronary angiography Remodeling index is defined as the ratio of the maximum vessel area (or diameter) to a normal reference vessel area (or diameter), and plaques are classified as having significant positive remodeling when the remodeling index is \>1.1

Time frame: 2 years

Data from ClinicalTrials.gov

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