ArticleFrontiers in neurology2023
Automated acute ischemic stroke lesion delineation based on apparent diffusion coefficient thresholds.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00715533 (3T Stroke MRT for Examining Mismatch in the CSB of the Charité Universitätsmedizin Berlin), which is not on this map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
3T Stroke MRT for Examining Mismatch in the CSB of the Charité Universitätsmedizin Berlin (3Tesla in 1000+)
Who cites it
6 citing papers in PubMed.
- Automated Apparent Diffusion Coefficient Measurement of Breast Tumors in Diffusion-weighted MRI for Early Neoadjuvant Chemotherapy Response Assessment.Radiology. Imaging cancer · 2026Article
- Predicting lesion reversal in acute cerebral ischaemia via apparent diffusion coefficient threshold on diffusion-weighted MRI.European radiology · 2026Article
- Limitations and Blind Spots of Diffusion-Weighted Imaging in the Evaluation of Acute Brain Ischemia: A Narrative Review.Journal of clinical medicine · 2026Review
- Evaluation of Siemens Healthineers' StrokeSegApp for automated diffusion and perfusion lesion segmentation in patients with ischemic stroke.Frontiers in neurology · 2025Article
- Cerebral collaterals are associated with pre-treatment brain-blood barrier permeability in acute ischemic stroke patients.European radiology · 2024Observational
- Infarct density defined by ADC threshold is associated with long-term functional outcome after endovascular thrombectomy.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
Purpose: Automated lesion segmentation is increasingly used in acute ischemic stroke magnetic resonance imaging (MRI). We explored in detail the performance of apparent diffusion coefficient (ADC) thresholding for delineating baseline diffusion-weighted imaging (DWI) lesions. Methods: Retrospective, exploratory analysis of the prospective observational single-center 1000Plus study from September 2008 to June 2013 (clinicaltrials.org; NCT00715533). We built a fully automated lesion segmentation algorithm using a fixed ADC threshold (≤620 × 10-6 mm Results: 108 acute ischemic stroke patients were selected for analysis. The median Dice coefficient for the algorithm was 0.43 (IQR 0.20-0.64). Mean ADC values in the DWI lesion ( Conclusion: The performance of ADC thresholds for delineating acute stroke lesions varies substantially between patients. It is influenced by factors such as lesion size as well as lesion and parenchymal ADC values. Considering the inherent noisiness of ADC maps, ADC threshold-based automated delineation of very small lesions is not reliable.
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