From the Journals

Can MRI Predict Perforator Stroke Progression?

Investigators evaluate multisequence imaging for its ability to identify patients at risk for neurologic progression.

Share

A multiparameter MRI-based radiomics model has been developed to predict progressive neurologic deterioration in patients suffering from subacute ischemic perforator artery cerebral infarction. This model demonstrates enhanced predictive performance with an area under the curve of 0.844 in a training cohort of 131 patients and 0.824 in a validation cohort of 57 patients. The study, led by Wenjing Yu from The First Affiliated Hospital of Zhejiang Chinese Medical University, utilized radiomic features extracted from multiple imaging sequences to achieve a significant prediction of clinical symptom progression.

Original Source(s)

Can MRI Predict Perforator Stroke Progression?

Investigators evaluate multisequence imaging for its ability to identify patients at risk for neurologic progression.

  • by Kathryn Wighton

  • February 24, 2026

  • 3 min

Related Content

Radiology AI in Routine Practice

Real-world deployment reveals adoption gaps and varying engagement with regulator-approved artificial intelligence decision support tools

Body Fat Distribution and Brain Health

A UK Biobank analysis links MRI-derived fat distribution patterns to differences in brain structure and neurologic outcomes.

How Safe Are FDA-Cleared AI Tools?

“These findings indicate that standardized efficacy, safety, and risk assessment reporting remains inadequate for FDA-cleared AI/ML devices, underscoring the need for dedicated regulatory pathways and robust postmarket surveillance to ensure patient safety."