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Predicting white-matter hyperintensity progression and cognitive decline in patients with cerebral small-vessel disease: a magnetic resonance-based habitat analysis | |
2024-09-01 | |
发表期刊 | QUANTITATIVE IMAGING IN MEDICINE AND SURGERY (IF:2.9[JCR-2023],3.2[5-Year]) |
ISSN | 2223-4292 |
EISSN | 2223-4306 |
卷号 | 14期号:9 |
发表状态 | 已发表 |
DOI | 10.21037/qims-24-238 |
摘要 | Background: White-matter hyperintensity (WMH) is the key magnetic resonance imaging (MRI) marker of cerebral small-vessel disease (CSVD). This study aimed to investigate whether habitat analysis based on physiologic MRI parameters can predict the progression of WMH and cognitive decline in CSVD. Methods: Diffusion- and perfusion-weighted imaging data were obtained from 69 patients with CSVD at baseline and at 1-year of follow-up. The white-matter region was classified into constant WMH, growing WMH, shrinking WMH, and normal-appearing white matter (NAWM) according to the T2- fluid-attenuated inversion recovery (FLAIR) sequences images at the baseline and follow-up. We employed k-means clustering on a voxel-wise basis to delineate WMH habitats, integrating multiple diffusion metrics and cerebral blood flow (CBF) values derived from perfusion data. The WMH at the baseline and the predicted WMH from the habitat analysis were used as regions of avoidance (ROAs). The decreased rate of global efficiency for the whole brain structural connectivity was calculated after removal of the ROA. The association between the decreased rate of global efficiency and Montreal Cognitive Assessment (MoCA) and mini-mental state examination (MMSE) scores was evaluated using Pearson correlation coefficients. Results: We found that the physiologic MRI habitats with lower fractional anisotropy and CBF values and higher mean diffusivity, axial diffusivity, and radial diffusivity values overlapped considerably with the new WMH (growing WMH of baseline) after a 1-year follow-up; the accuracy of distinguishing growing WMH from NAWM was 88.9%+/- 12.7% at baseline. Similar results were also found for the prediction of shrinking WMH. Moreover, after the removal of the predicted WMH, a decreased rate of global efficiency had a significantly negative correlation with the MoCA and MMSE scores at follow-up. Conclusions: This study revealed that a habitat analysis combining perfusion with diffusion parameters could predict the progression of WMH and related cognitive decline in patients with CSVD. |
关键词 | Cerebral small-vessel disease (CSVD) white-matter hyperintensities (WMHs) habitat analysis cognitive decline |
URL | 查看原文 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Medical Engineering Cross Research Foundation of Shanghai Jiao Tong University[YG2022QN035] ; National Natural Science Foundation of China[82171885] ; Shanghai Science and Technology Committee Project[21TS1400700] ; Shanghai Leading Talent Program of Shanghai Municipal Health Commission[2022LJ023] ; Technology Standardized Management and Promotion Projects of Shanghai Shenkang Hospital Development Center[SHDC22023022] |
WOS研究方向 | Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:001321421100014 |
出版者 | AME PUBLISHING COMPANY |
文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/430427 |
专题 | 生物医学工程学院 生物医学工程学院_PI研究组_胡鹏组 |
通讯作者 | Sun, Yawen; Zhou, Yan |
作者单位 | 1.Shanghai Jiao Tong Univ, Renji Hosp, Sch Med, Dept Radiol, 160 Pujian Rd, Shanghai 200127, Peoples R China 2.Shanghai Jiao Tong Univ, Renji Hosp, Sch Med, Dept Neurol, Shanghai, Peoples R China 3.Shanghai Jiao Tong Univ, Renji Hosp, Sch Med, Dept Anesthesiol, Shanghai, Peoples R China 4.ShanghaiTech Univ, Sch Biomed Engn, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Han, Xu,Wang, Yao,Chen, Yuewei,et al. Predicting white-matter hyperintensity progression and cognitive decline in patients with cerebral small-vessel disease: a magnetic resonance-based habitat analysis[J]. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY,2024,14(9). |
APA | Han, Xu.,Wang, Yao.,Chen, Yuewei.,Qiu, Yage.,Gu, Xiyao.,...&Zhou, Yan.(2024).Predicting white-matter hyperintensity progression and cognitive decline in patients with cerebral small-vessel disease: a magnetic resonance-based habitat analysis.QUANTITATIVE IMAGING IN MEDICINE AND SURGERY,14(9). |
MLA | Han, Xu,et al."Predicting white-matter hyperintensity progression and cognitive decline in patients with cerebral small-vessel disease: a magnetic resonance-based habitat analysis".QUANTITATIVE IMAGING IN MEDICINE AND SURGERY 14.9(2024). |
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