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Automated Diffusion-Weighted MRI Analysis for Exploratory Risk Stratification of Malignant Cerebral Edema After Acute
Cheng-Hsuan Juan1,2, Chia-Hui Tsao3, Ya-Hui Li1,3
1Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei 106, Taiwan.
Abstract:
Background/Objectives: Malignant cerebral edema (MCE) is an infrequent but devastating complication of acute ischemic stroke (AIS). Early, reliable identification of patients at risk remains a major clinical challenge. The purpose of this study was to evaluate SCR-U1.8, a single automated imaging biomarker integrating stroke lesion burden and cerebrospinal fluid reserve, for exploratory risk stratification of MCE after AIS. Methods: In this retrospective study, consecutive patients with AIS who underwent diffusion-weighted imaging (DWI) between January 2019 and October 2022 were screened. Stroke lesions were automatically segmented on initial DWI using an ADC threshold of <1.8 × 10-3 mm2/s to derive U1.8 lesion volume. Cerebrospinal fluid volume (CSFV) was automatically estimated within the intracranial compartment, and SCR-U1.8 was calculated as U1.8/CSFV. Four low-complexity prediction strategies were evaluated: U1.8 > 82 mL, U1.8 > 145 mL, single-predictor U1.8 logistic regression, and single-predictor SCR-U1.8 logistic regression. Performance was evaluated across 100 repeated stratified patient-level train-test splits. Random undersampling was restricted to the training data, and no synthetic samples were generated. Model performance was assessed by accuracy, sensitivity, specificity, precision, negative predictive value (NPV), F1 score, receiver operating characteristic area under the curve (ROC-AUC), and average precision (AP) as appropriate. Results: A total of 530 patients were included, comprising 198 women and 332 men (mean age, 68 ± 14 years); a total of 12 patients developed MCE. Across 100 repeated stratified train-test splits, SCR-U1.8-LR achieved the highest accuracy (0.990 ± 0.006), precision (0.759 ± 0.150), specificity (0.992 ± 0.005), F1 score (0.806 ± 0.131), ROC-AUC (0.998 ± 0.002), and average precision (0.935 ± 0.062). Compared with the U1.8 > 82 mL threshold, SCR-U1.8-LR achieved significantly higher accuracy, precision, specificity, and F1 score, although sensitivity decreased from 1.000 to 0.900 and NPV decreased slightly from 1.000 to 0.998. Conclusions: SCR-U1.8 may provide a simple and physiologically interpretable measure of stroke lesion burden relative to CSF reserve. The findings remain exploratory because only 12 independent MCE events were available and require external validation.
Insights
A new imaging biomarker, SCR-U1.8, shows promise for identifying patients at risk of malignant cerebral edema after acute ischemic stroke. This automated tool integrates lesion burden and cerebrospinal fluid reserve for improved risk stratification.
Area of Science:
- Neurology
- Radiology
- Medical Imaging
Background:
- Malignant cerebral edema (MCE) is a rare but severe complication of acute ischemic stroke (AIS).
- Early identification of patients at high risk for MCE remains a significant clinical challenge.
- Current diagnostic methods lack sufficient accuracy for timely MCE risk assessment.
Purpose of the Study:
- To evaluate SCR-U1.8, an automated imaging biomarker, for exploratory risk stratification of MCE in AIS patients.
- To assess the performance of SCR-U1.8 in integrating stroke lesion burden and cerebrospinal fluid reserve.
- To compare SCR-U1.8-based prediction with simpler threshold-based methods.
Main Methods:
- Retrospective analysis of AIS patients who underwent diffusion-weighted imaging (DWI).
- Automated segmentation of stroke lesions (U1.8 lesion volume) and cerebrospinal fluid volume (CSFV).
- Calculation of SCR-U1.8 (U1.8/CSFV) and evaluation of logistic regression models.
Main Results:
- SCR-U1.8 logistic regression (SCR-U1.8-LR) demonstrated high performance across 100 train-test splits, achieving superior accuracy, precision, F1 score, and ROC-AUC.
- SCR-U1.8-LR showed significantly improved accuracy, precision, and F1 score compared to a U1.8 volume threshold.
- While sensitivity and NPV slightly decreased, SCR-U1.8-LR offered a more robust risk stratification.
Conclusions:
- SCR-U1.8 offers a simple, physiologically interpretable biomarker for assessing stroke lesion burden relative to CSF reserve.
- The biomarker shows potential for exploratory risk stratification of MCE after AIS.
- Further external validation is required due to the limited number of MCE events observed in this study.
