ArticleNeuroImage. Clinical2022
The value of diffusion weighted imaging in predicting the clinical progression of perforator artery cerebral infarction.
Article in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 10 citations in OpenAlex.
- Evaluating the predictive efficacy of multi-parameter MRI based radiomic models on clinical symptom progression in perforator artery cerebral infarction.BMC medical imaging · 2026Article
- Neuroimaging characteristics associated with early neurological deterioration in single subcortical infarction patients.Frontiers in neurology · 2026Article
- Comparative study of image quality, ADC, and IVIM data between multi-b value MUSE-DWI and SS-EPI-DWI in brain imaging.BMC medical imaging · 2025Article
- Article
- Prediction of early neurologic deterioration in patients with perforating artery territory infarction using machine learning: a retrospective study.Frontiers in neurology · 2024Article
- Predicting Mechanical Thrombectomy Outcome and Time Limit through ADC Value Analysis: A Comprehensive Clinical and Simulation Study Using Machine Learning.Diagnostics (Basel, Switzerland) · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
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Abstract
objectivesTo investigate the value of diffusion weighted imaging (DWI) in predicting the clinical progression of perforator artery cerebral infarction.
methodsThe magnetic resonance imaging (MRI) data of patients with perforator artery cerebral infarction hospitalized in our hospital from October 2015 to February 2022 were analyzed retrospectively. Then we compared the differences of apparent diffusion coefficient (ADC) value, maximal size, location of cerebral infarction, clinical data and treatment plan between the two groups.
resultsA total of 81 patients with perforating artery cerebral infarction were included, with 33 patients in the progressive cerebral infarction (PCI) group and 48 patients in the non-progressive cerebral infarction (NPCI) group. The ADC value in the progressive group was lower than that in the non-progressive group (P < 0.001), and ADC value was an independent factor influencing the clinical progression (OR = 0.974, 95 %CI = 0.960-0.989, P = 0.001); The average area of cerebral infarction in the progressive group was larger than that in the non-progressive group (P = 0.004). There was no difference between the two groups (P > 0.05) in terms of clinical data and treatment plan.
conclusionsThe ADC value and maximal size of infarction were correlated with the clinical Progression. ADC value was an independent factor influencing the clinical progression of perforating artery cerebral infarction, which could be used for the prediction of clinical progress and provide guidance for the development of individualized treatment.
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