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270598

Multi-Slice Computed Tomography in Coronary Artery Disease: Detection of Disease Severity, Calcium Score and Prediction of Percutaneous Coronary Intervention Complications

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Radiodiagnosis

Abstract

Background: Coronary artery calcifications comprise one of the most significant factors interfering with the diagnostic accuracy of Multi-Slice Computed Tomography (MSCT) .Despite this fact, measurement of Coronary Artery Calcification (CAC) score using Agatston method is a useful noninvasive test for expecting rare but serious potentially life -threatening Percutaneous Coronary Intervention (PCI) complications, our aim to highlight the role of MSCT in coronary disease severity and CAC score as a predictor tool to determine PCI associated complications.
Methods: A prospective study was carried out in period from January 2022 to May 2022, conducted at Radiodiagnosis and Cardiology departments of Zagzig university hospitals, enrolled 60 Patients with 78 significant stenotic calcified coronary lesions diagnosed by conventional coronary angiography and MSCT coronary angiography with total, target vessel and significant lesion CAC scores calculation using Agatston method prior to percutaneous coronary intervention (PCI).
Results: Our patients were divided into a lower CAC score cases (CAC score, ≤300, n=12 cases/ 12 lesions) and a higher CAC case (CAC score, >300, n=48 cases/ 66 lesions). The highest vessel CAC score mean is of LAD 100.1± 61.98 followed by RCA then LCX and lastly LM, with only three cases of higher CAC score group developed dissection during PCI. with significant difference between successful and complicated PCI regarding the total, target vessel and significant lesion CAC scores with P value < 0.02
Conclusion: Using MSCT to measure CCS prior to intervention can anticipate PCI problems and improve PCI outcomes.

DOI

10.21608/zumj.2022.133871.2571

Keywords

MSCT, CAC, PCI, CTA, coronary calcification

Authors

First Name

Rania

Last Name

Hassan

MiddleName

Mostafa

Affiliation

Radiodiagnosis department , faculty of medicine ,zagazig university ,zagazig , Egypt

Email

raniahassan@medicine.zu.edu.eg

City

-

Orcid

0000-0001-7478-7967

First Name

Asmaa

Last Name

Alshamy

MiddleName

A.

Affiliation

Radiodiagnosis department ,faculty of medicine ,Zagazig university,Egypt

Email

aashami@medicine.zu.edu.eg

City

zagazig

Orcid

-

First Name

Marwa

Last Name

Abd Elhamed

MiddleName

Elsayed

Affiliation

Radiodiagnosis department, faculty of Medicine, Zagazig University, Zagazig

Email

dr.meroelsayed34@gmail.com

City

Zagazig

Orcid

0000-0001-6777-579x

Volume

29

Article Issue

1

Related Issue

38591

Issue Date

2023-01-01

Receive Date

2022-05-24

Publish Date

2023-01-01

Page Start

245

Page End

254

Print ISSN

1110-1431

Online ISSN

2357-0717

Link

https://zumj.journals.ekb.eg/article_270598.html

Detail API

https://zumj.journals.ekb.eg/service?article_code=270598

Order

30

Type

Original Article

Type Code

273

Publication Type

Journal

Publication Title

Zagazig University Medical Journal

Publication Link

https://zumj.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023