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Different patterns of white matter lesions among patent foramen ovale, atherosclerotic cerebral small vessel disease and cerebral venous thrombosis. J Thromb Thrombolysis 2022; 53:911-925. [PMID: 34985685 DOI: 10.1007/s11239-021-02624-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/19/2021] [Indexed: 01/10/2023]
Abstract
None of studies are available on the predictive ability of white matter lesions (WMLs) among patent foramen ovale (PFO), atherosclerotic cerebral small vessel disease (aCSVD) and cerebral venous thrombosis (CVT). Herein, we aimed to uncover the difference of the WML patterns among the three disease entities in a real-world setting to provide clinical references for predicting probable WML etiologies. We retrospectively reviewed data from consecutive patients with imaging-confirmed PFO, aCSVD, or CVT enrolled from 2014 through 2020. WMLs presented on fluid-attenuated inversion recovery (FLAIR) maps were compared among the three groups based on visual evaluation, Fazekas and modified Scheltens scales. Propensity score matching (PSM) was implemented to correct age and hypertension differences among groups. A total of 401 patients were entered into final analysis, including PFO (n = 112, 46.5 ± 12.8 years), aCSVD (n = 177, 61.6 ± 11.8 years) and CVT (n = 112, 37.4 ± 11.4 years) groups. In this study, WMLs occurred in all of the involved patients in the three groups (100%), which were independent to age, symptom onset and disease durations. On visual evaluation, PFO-WMLs were multiple spots distributed asymmetrically around bilateral subcortex and peri-ventricles. aCSVD-WMLs were dots or sheets distributed symmetrically in subcortex and peri-ventricles, and often coexisted with lacunar infarctions. CVT-WMLs were cloud-like around bilateral peri-ventricles, and enabled to attenuate after recanalization. Fazekas and modified Scheltens scores of PFO-WML vs. aCSVD-WML were significantly different even after being matched by 1:2 PSM (all p < 0.05), meaning that the WML burden in aCSVD was considerably heavier than that in PFO. WML patterns induced by PFO, aCSVD and CVT were obviously different, and were therefore of great clinical significance to preliminarily predict and differentiate the three diseases entities.
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Wu X, Ya J, Zhou D, Ding Y, Ji X, Meng R. Pathogeneses and Imaging Features of Cerebral White Matter Lesions of Vascular Origins. Aging Dis 2021; 12:2031-2051. [PMID: 34881084 PMCID: PMC8612616 DOI: 10.14336/ad.2021.0414] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/14/2021] [Indexed: 01/10/2023] Open
Abstract
White matter lesion (WML), also known as white matter hyperintensities or leukoaraiosis, was first termed in 1986 to describe the hyperintense signals on T2-weighted imaging (T2WI) and fluid-attenuated inversion recovery (FLAIR) maps. Over the past decades, a growing body of pathophysiological findings regarding WMLs have been discovered and discussed. Currently, the generally accepted WML pathogeneses mainly include hypoxia-ischemia, endothelial dysfunction, blood-brain barrier disruption, and infiltration of inflammatory mediators or cytokines. However, none of them can explain the whole dynamics of WML formation. Herein, we primarily focus on the pathogeneses and neuroimaging features of vascular WMLs. To achieve this goal, we searched papers with any type published in PubMed from 1950 to 2020 and cross-referenced the keywords including “leukoencephalopathy”, “leukoaraiosis”, “white matter hyperintensity”, “white matter lesion”, “pathogenesis”, “pathology”, “pathophysiology”, and “neuroimaging”. Moreover, references of the selected articles were browsed and searched for additional pertinent articles. We believe this work will supply the robust references for clinicians to further understand the different WML patterns of varying vascular etiologies and thus make customized treatment.
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Affiliation(s)
- Xiaoqin Wu
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jingyuan Ya
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.,4Division of Clinical Neuroscience, Queen's Medical Center School of Medicine, the University of Nottingham, Nottingham NG7 2UH, UK
| | - Da Zhou
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yuchuan Ding
- 3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China.,5Department of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan 48201, USA
| | - Xunming Ji
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Ran Meng
- 1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,2Advanced Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University, Beijing, China
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