Citation
Zyoud, Tawfiq Y T
(2024)
Establishing susceptibility weighted imaging for evaluating intracranial calcium scoring in stroke patients.
Doctoral thesis, Universiti Putra Malaysia.
Abstract
Intracranial atherosclerotic disease (ICAD) is a leading cause of ischemic stroke and
is characterized by the buildup of atherosclerotic plaques in the intracranial arteries,
leading to luminal stenosis and calcification. Effective diagnosis and stratification of
ICAD are critical for optimizing stroke prevention and management. The ICAD
scoring system is a critical tool for predicting stroke as it enables precise risk
stratification by integrating imaging findings with clinical factors. By identifying
patients at high risk of stroke based on stenosis severity and calcification patterns, the
scoring system enhances early intervention and tailored management, significantly
improving patient outcomes and reducing the incidence of stroke. Susceptibility-
weighted imaging phase (SWIp) and cone-beam computed tomography (CBCT) differ
significantly in their imaging mechanisms and clinical applications. SWIp is a
magnetic resonance imaging (MRI) technique that excels in detecting subtle
calcifications and venous vasculature due to its sensitivity to differences in magnetic
susceptibility. In contrast, CBCT is an X-ray-based modality that provides high- resolution, three-dimensional images of bony structures and calcifications but lacks
the ability to visualize venous vasculature or detect smaller calcifications as
effectively as SWIp. These differences make SWIp more suitable for assessing severe
stenosis and stratifying stroke risk, while CBCT performs better in detecting moderate
stenosis and providing structural details of calcifications. This study aims to evaluate
the diagnostic accuracy of SWIp compared to CBCT for assessing intracranial
calcifications, predicting stenosis severity and establishing an ICAD scoring system.
The objectives of this study were to identify the locations and grades of intracranial
calcifications, estimate the sensitivity and specificity of CBCT and SWIp for ICAD
diagnosis, generate cutoff values for stenosis prediction and develop a scoring system
for stratifying stroke risk. A prospective cross-sectional study was conducted at
Hospital Sultan Abdul Aziz Shah, Universiti Putra Malaysia, involving 146 stroke
patients who underwent both CBCT and SWIp imaging from January 2022 to
December 2023. The prevalence of intracranial calcifications was 87.7% and 92.5%
for CBCT and SWIp, respectively. For stenosis grading, CBCT detected minimum-
to-mild, moderate and severe stenosis at 18.5%, 58.9% and 10.3%, while SWIp
reported 2.7%, 33.8% and 57.5%, respectively. SWIp demonstrated superior
diagnostic performance for severe stenosis, with sensitivity and specificity of 93% and
52%, compared to CBCT’s 100% and 60%. However, CBCT exhibited higher
sensitivity for moderate stenosis (99%) compared to SWIp (89%). These findings
underscore the complementary strengths of both modalities, with SWIp offering
greater accuracy for severe stenosis due to its ability to visualize venous vasculature
and detect subtle calcifications often missed by CBCT. Furthermore, the ICAD
scoring system developed in this study, based on SWIp parameters, effectively
correlated imaging findings with clinical risk factors, enhancing stroke risk prediction. In conclusion, SWIp demonstrated superior diagnostic accuracy for severe stenosis
and stroke risk stratification, making it an invaluable tool for ICAD assessment. This
study advocates integrating SWIp into routine clinical practice to complement CBCT
for improved stroke prevention and management strategies.
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Additional Metadata
| Item Type: |
Thesis
(Doctoral)
|
| Subject: |
Cerebrovascular disease -- Patients -- Malaysia |
| Subject: |
Magnetic resonance imaging -- Malaysia |
| Subject: |
Diagnostic imaging -- Malaysia |
| Call Number: |
FPSK(p) 2024 46 |
| Chairman Supervisor: |
Associate Professor Ezamin bin Abdul Rahim |
| Divisions: |
Faculty of Medicine and Health Science |
| Keywords: |
Susceptibility weighted imaging; Stroke; Intracranial calcium scoring |
| Sustainable Development Goals (SDGs): |
SDG 3: Good Health and Well-being, SDG 17: Partnerships for the Goals, SDG 9: Industry, Innovation and Infrastructure |
| Depositing User: |
MS. HADIZAH NORDIN
|
| Date Deposited: |
21 Jul 2026 02:09 |
| Last Modified: |
21 Jul 2026 14:02 |
| URI: |
http://psasir.upm.edu.my/id/eprint/126698 |
| Statistic Details: |
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