Comparing Susceptibility-Weighted Imaging and T2* Gradient-Recalled Echo for Cerebral Microbleeds Detection: A Systematic Review and Meta-Analysis
- Author:
Su Jeong YANG
1
;
Jae‑Sung LIM
;
Yangsean CHOI
;
Ho Sung KIM
;
Sang Joon KIM
;
Jae-Hong LEE
;
Chong Hyun SUH
Author Information
- Publication Type:ORIGINAL ARTICLE
- From:Journal of Clinical Neurology 2026;22(2):193-202
- CountryRepublic of Korea
- Language:English
-
Abstract:
Background:and Purpose Criteria for amyloid-related imaging abnormalities in anti-amyloid therapy are based on T2* gradient-recalled echo (GRE), but susceptibility-weighted imaging (SWI) is widely used, creating uncertainty. This study quantitatively compared the detectability of SWI and GRE for cerebral microbleeds and established evidence supporting distinct microbleed criteria for each.
Methods:A systematic review and meta-analysis were conducted following PRISMA guidelines. PubMed and Embase were searched for studies directly comparing SWI and GRE up to August 8, 2024. Study quality was assessed with QUADAS-2. The pooled proportion of microbleed detection and detection ratio were calculated. Subgroup analyses were performed based on magnetic field strength (1.5 T vs. 3 T) and SWI slice thickness (<2 mm vs. ≥2 mm), equipment vendor, and study quality.
Results:Thirteen studies were included. SWI detected cerebral microbleeds approximately 1.6times more effectively than GRE. At 3.0 T and 1.5 T, SWI exhibited 1.7-fold and 1.5-fold greater detectability, respectively. SWI with thinner slices (<2 mm) showed a 1.9-fold improvement, while thicker slices (≥2 mm) showed a 1.3-fold improvement. Subgroup analyses revealed no significant differences between vendors (0.61 vs. 0.60, p=0.89), or by study quality (0.61 vs. 0.59,p=0.89).
Conclusions:SWI detects cerebral microbleeds about 1.6 times more effectively than GRE, highlighting important differences between the two techniques. Cautious exploration of adjusted thresholds may be needed, and prospective validation in therapy-specific cohorts will be essential before clinical application.
