Cardiovascular

Neuroimaging characteristics associated with early neurological deterioration in single subcortical infarction patients.

TL;DR

rADC and MCA plaque are independent neuroimaging predictors of early neurological deterioration in single subcortical infarction patients, while CSVD burden showed no significant association.

Key Findings

Early neurological deterioration (END) occurred in 24.8% of single subcortical infarction (SSI) patients within 72 hours of admission.

  • 129 consecutive SSI patients in the middle cerebral artery perforating territory were retrospectively enrolled.
  • 32 of 129 patients (24.8%) developed END.
  • END was defined as an increase of ≥2 points in the total NIHSS score or ≥1 point in the motor subscore within 72 hours of admission.

Lower rADC values were an independent predictor of END, with an optimal cut-off of 0.61 demonstrating sensitivity of 84% and specificity of 50%.

  • rADC < 0.61 had an odds ratio of 4.23 (95% CI: 1.58–11.61, P = 0.004) on multivariable logistic regression.
  • rADC demonstrated superior predictive performance over absolute ADC values.
  • The optimal cut-off for rADC was 0.61, with 84% sensitivity and 50% specificity.

Presence of MCA plaques was an independent predictor of END in SSI patients.

  • MCA plaque presence had an odds ratio of 2.80 (95% CI: 1.14–6.89, P = 0.025) on multivariable logistic regression.
  • MCA plaque status was evaluated by whole-brain vessel wall imaging.
  • MCA plaque presence was significantly associated with END on univariate analysis as well.

Lower ADC and rADC values, larger maximum infarct diameter, more proximal axial infarct location, and presence of MCA plaques were all significantly associated with END on univariate analysis.

  • These five neuroimaging features were identified as significant univariate predictors of END.
  • On multivariable analysis, only rADC < 0.61 and MCA plaque presence remained independent predictors.
  • Larger maximum infarct diameter and more proximal axial infarct location did not retain significance in the multivariable model.

CSVD burden and individual CSVD imaging markers were not significantly associated with END in SSI patients.

  • Neither overall CSVD burden nor any individual CSVD imaging marker reached statistical significance in association with END.
  • This finding contrasts with the significant associations observed for rADC and MCA plaque status.
  • CSVD burden was assessed as part of the comprehensive neuroimaging evaluation.

What This Means

This research suggests that among patients who suffer a specific type of small stroke called a single subcortical infarction (SSI), about one in four will experience early neurological deterioration (END) — meaning their symptoms worsen significantly within the first three days of hospitalization. The study, which looked at 129 patients, found that two features visible on MRI brain scans could independently predict which patients were most at risk: a lower value on a measure called relative apparent diffusion coefficient (rADC), which reflects how severely brain tissue is damaged, and the presence of plaques in a major brain artery called the middle cerebral artery (MCA), detected using specialized vessel wall imaging. Importantly, the study found that the relative ADC measure (rADC) was a better predictor than the standard ADC measure, with a specific cut-off value of 0.61 identifying high-risk patients with 84% sensitivity. Patients with rADC below this threshold were over four times more likely to experience early worsening, and those with MCA plaques were nearly three times more likely. By contrast, the overall burden of small vessel disease in the brain — often considered a risk factor for stroke complications — was not significantly linked to early deterioration in this group. This research suggests that routine MRI data collected at hospital admission, specifically rADC values and vessel wall imaging for MCA plaques, could help doctors identify SSI patients at higher risk of early worsening and potentially guide more individualized treatment decisions. The findings highlight the value of comprehensive neuroimaging in the acute stroke setting for risk stratification.

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Citation

Wu Y, Chen L, Sun Z, Pi J, Wu J. (2026). Neuroimaging characteristics associated with early neurological deterioration in single subcortical infarction patients.. Frontiers in neurology. https://doi.org/10.3389/fneur.2026.1849475