Evidence map›Paper›PMID 42192316›Full record

ArticleBMC neurology2026

Posterior-to-anterior periventricular white matter hyperintensity area ratio: a supportive MRI feature for differentiating cerebral amyloid angiopathy in lobar intracerebral hemorrhage.

Yingjie Zhang, Sihui Wang, Xinrong Wu, Yao Zhong, Shengjun Sun, Yi Ju

Abstract read
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Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yingjie Zhang *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Sihui Wang *Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xinrong WuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yao ZhongDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shengjun SunDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. sunshengjun0212@163.com.
Yi JuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. juyi1226@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnosing cerebral amyloid angiopathy (CAA) in primary lobar intracerebral hemorrhage (ICH) remains challenging using routine MRI markers. We investigated a quantitative posterior-dominant pattern of periventricular white matter hyperintensity (PWMH) as a potential supportive imaging feature for CAA within the Boston v2.0 framework.

methodsWe retrospectively analyzed 229 patients aged ≥ 50 years with primary lobar ICH, classified as CAA (n = 123) or CAA-negative (n = 106) according to the Boston criteria v2.0. On FLAIR, the largest anterior and posterior periventricular WMH areas were measured bilaterally, and the posterior-to-anterior PWMH area ratio (PA-AR) was derived. Multivariable logistic regression models were developed, and diagnostic performance was evaluated using ROC analysis.

resultsPatients with CAA showed a greater posterior PWMH burden and higher PA-AR than CAA-negative controls (median 1.69 vs. 0.79; p < 0.001). Adding PA-AR to the covariate-adjusted model improved discrimination for CAA (AUC 0.804; bootstrap mean AUC 0.813, 95% CI 0.759-0.867). In the predefined diagnostic "gray zone" subgroup, PA-AR remained informative. The AUC was 0.887 in univariable analysis and 0.888 after age adjustment. PA-AR was also higher in patients with posterior lobar CMBs than in those with no CMBs or mixed-location hemorrhage.

conclusionsA posterior-dominant periventricular WMH pattern, quantified by PA-AR, is associated with CAA in lobar ICH. This pattern is also related to posterior-predominant lobar CMB topography. PA-AR may serve as a supportive MRI feature that complements Boston criteria v2.0 markers for identifying CAA within a real-world mixed lobar ICH population, particularly in diagnostically challenging patients.

Indexed as

Cerebral Amyloid AngiopathyCerebral HemorrhageMagnetic Resonance ImagingWhite MatterAgedAged, 80 and overDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective StudiesCerebral Amyloid AngiopathyCerebral HemorrhageMagnetic Resonance ImagingWhite Matter Hyperintensities

Identifiers

PMID42192316
PMCPMC13390337

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.