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Quantitative comparison of CSVD imaging markers between patients with possible amyloid small vessel disease and with non-amyloid small vessel disease.
Lu, Chun-Qiang; Liu, Ying; Huang, Jia-Rong; Li, Meng-Shuang; Wang, Yan-Shuang; Gu, Yan; Chang, Di.
Afiliación
  • Lu CQ; Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, 87 Dingjiaqiao Road, Nanjing, Jiangsu 210009, China; Collaborative Innovation Center of Radiation Medicine of Jia
  • Liu Y; Department of Radiology, The First Affiliated Hospital of Kangda College of Nanjing Medical University, Lianyungang, Jiangsu 222000, China; The First Peoples Hospital of Lianyungang, Lianyungang, Jiangsu 222000, China.
  • Huang JR; Department of Radiology, The First Affiliated Hospital of Kangda College of Nanjing Medical University, Lianyungang, Jiangsu 222000, China; The First Peoples Hospital of Lianyungang, Lianyungang, Jiangsu 222000, China.
  • Li MS; Department of Radiology, The First Affiliated Hospital of Kangda College of Nanjing Medical University, Lianyungang, Jiangsu 222000, China; The First Peoples Hospital of Lianyungang, Lianyungang, Jiangsu 222000, China.
  • Wang YS; Department of Radiology, The First Affiliated Hospital of Kangda College of Nanjing Medical University, Lianyungang, Jiangsu 222000, China; The First Peoples Hospital of Lianyungang, Lianyungang, Jiangsu 222000, China.
  • Gu Y; Department of Radiology, The First Affiliated Hospital of Kangda College of Nanjing Medical University, Lianyungang, Jiangsu 222000, China; The First Peoples Hospital of Lianyungang, Lianyungang, Jiangsu 222000, China. Electronic address: guyan2020@njmu.edu.cn.
  • Chang D; Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, 87 Dingjiaqiao Road, Nanjing, Jiangsu 210009, China. Electronic address: dichang61@seu.edu.cn.
Neuroimage Clin ; 44: 103681, 2024 Oct 02.
Article en En | MEDLINE | ID: mdl-39368336
ABSTRACT
The spatial distribution patterns of cerebral microbleeds are associated with different types of cerebral small vessel disease (CSVD). This study aims to examine the disparities in brain imaging markers of CSVD among patients diagnosed with possible amyloid and non-amyloid small vessel disease. The head MR scans including susceptibility-weighted imaging (SWI) sequences from 351 patients at our institute were collected for analysis. CSVD imaging markers were quantified or graded across various CSVD dimensions in the patient images. Patients were categorized into the cerebral amyloid angiopathy group (CAA), hypertensive arteriopathy group (HA), or mixed small vessel disease group (Mixed), based on the spatial distribution of microbleeds. White matter lesions (WML) were segmented using an artificial neural network and assessed via a voxel-wise approach. Significant differences were observed among the three groups in several indices microbleed count, lacune count at the centrum semiovale and basal ganglia levels, grade of enlarged perivascular space (EPVS) at the basal ganglia, and white matter lesion volume. These indices were substantially higher in the Mixed group compared to the other groups. Additionally, the incidences of cerebral hemorrhages (χ2 = 7.659, P = 0.006) and recent small subcortical infarcts (χ2 = 4.660, P = 0.031) were significantly more frequent in the HA group than in the CAA group. These results indicate that mixed spatial distribution patterns of microbleeds demonstrated the highest burden of cerebral small vessel disease. Microbleeds located in the deep brain regions were associated with a higher incidence of recent small subcortical infarcts and cerebral hemorrhages compared to those in the cortical areas.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neuroimage Clin Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Neuroimage Clin Año: 2024 Tipo del documento: Article Pais de publicación: Países Bajos