Prediction of early neurological deterioration using quantitative susceptibility mapping in small artery occlusion ischemic stroke

Background: Approximately 20-30% of ischemic stroke patients with small artery occlusion (SAO) experience early neurological deterioration (END) after stroke onset, which is associated with a poor prognosis. Our aim was to determine the predictive ability of quantitative susceptibility mapping (QSM) for END in patients with SAO. Methods: As neurological deficits, the National Institutes of Health Stroke Scale (NIHSS) was used. END was defined as an increase of ≥ 2 points on the NIHSS from baseline during the first week. 126 SAO stroke participants within 24 h of stroke onset were included in this study and divided into END group and nEND (no early neurological deterioration) group. QSM values were calculated from magnetic resonance imaging (MRI) data and clinical characteristics were collected. A cluster-based permutation test was conducted between groups and diagnostic efficacy of the QSM value was evaluated. Results: As a result, END group showed a different cortical susceptibility pattern compared with nEND group. Specifically, END group showed higher QSM value in the left/right precentral gyrus, the middle frontal gyrus, the opercular part of the left/right inferior frontal gyrus, the triangular part of left inferior frontal gyrus and postcentral gyrus, while lower in the dorsolateral part of left superior frontal. The support vector machine (SVM) classifier's analysis showed a high power for QSM diagnostic efficacy between END and nEND groups. In addition, homocysteine (Hcy), low-density lipoprotein (LDL), and total cholesterol (TC) were correlated with QSM values in some specific brain regions. Conclusion: The cluster-based permutation test indicated the differences of brain QSM value distribution between END and nEND groups. The SVM classifier's analysis showed a high power for QSM diagnostic efficacy between the two groups. Our study revealed the underlying predictive value of QSM in END of SAO stroke patients.

Authors

Institutions

Publication Details

Journal
IBRO Neuroscience Reports
Published
2026-04-01
DOI
https://doi.org/10.1016/j.ibneur.2026.03.013
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of early neurological deterioration using quantitative susceptibility mapping in small artery occlusion ischemic stroke

Jinan Chen, Yusheng Yu, Xuelian Tang, Yanhua Yu
IBRO Neuroscience Reports
Acute Ischemic Stroke Management
article

Prediction of early neurological deterioration using quantitative susceptibility mapping in small artery occlusion ischemic stroke

Jinan Chen, Yusheng Yu, Xuelian Tang, Yanhua Yu
article en

Abstract

Background: Approximately 20-30% of ischemic stroke patients with small artery occlusion (SAO) experience early neurological deterioration (END) after stroke onset, which is associated with a poor prognosis. Our aim was to determine the predictive ability of quantitative susceptibility mapping (QSM) for END in patients with SAO. Methods: As neurological deficits, the National Institutes of Health Stroke Scale (NIHSS) was used. END was defined as an increase of ≥ 2 points on the NIHSS from baseline during the first week. 126 SAO stroke participants within 24 h of stroke onset were included in this study and divided into END group and nEND (no early neurological deterioration) group. QSM values were calculated from magnetic resonance imaging (MRI) data and clinical characteristics were collected. A cluster-based permutation test was conducted between groups and diagnostic efficacy of the QSM value was evaluated. Results: As a result, END group showed a different cortical susceptibility pattern compared with nEND group. Specifically, END group showed higher QSM value in the left/right precentral gyrus, the middle frontal gyrus, the opercular part of the left/right inferior frontal gyrus, the triangular part of left inferior frontal gyrus and postcentral gyrus, while lower in the dorsolateral part of left superior frontal. The support vector machine (SVM) classifier's analysis showed a high power for QSM diagnostic efficacy between END and nEND groups. In addition, homocysteine (Hcy), low-density lipoprotein (LDL), and total cholesterol (TC) were correlated with QSM values in some specific brain regions. Conclusion: The cluster-based permutation test indicated the differences of brain QSM value distribution between END and nEND groups. The SVM classifier's analysis showed a high power for QSM diagnostic efficacy between the two groups. Our study revealed the underlying predictive value of QSM in END of SAO stroke patients.

IBRO Neuroscience ReportsVol. 20
Nanjing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 31%
Acute Ischemic Stroke Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.