Automated acute ischemic stroke lesion delineation based on apparent diffusion coefficient thresholds
نویسندگان
چکیده
Purpose Automated lesion segmentation is increasingly used in acute ischemic stroke magnetic resonance imaging (MRI). We explored detail the performance of apparent diffusion coefficient (ADC) thresholding for delineating baseline diffusion-weighted (DWI) lesions. Methods Retrospective, exploratory analysis prospective observational single-center 1000Plus study from September 2008 to June 2013 ( clinicaltrials.org ; NCT00715533). built a fully automated algorithm using fixed ADC threshold (≤620 × 10–6 mm 2 /s) delineate DWI and analyzed its compared manual assessments. Diagnostic capabilities best possible thresholds were investigated receiver operating characteristic curves. Influential patient factors on techniques’ studied by conducting multiple linear regression. Results 108 patients selected analysis. The median Dice was 0.43 (IQR 0.20–0.64). Mean values β = −0.68, p < 0.001) volumes 0.29, predicted performance. Optimal individual differed between subjects with ≤691 10 −6 /s ≤660–750 /s). −0.96, mean brain parenchyma 0.24, associated thresholds. Conclusion lesions varies substantially patients. It influenced such as size well parenchymal values. Considering inherent noisiness maps, threshold-based delineation very small not reliable.
منابع مشابه
Apparent diffusion coefficient thresholds do not predict the response to acute stroke thrombolysis.
BACKGROUND AND PURPOSE Apparent diffusion coefficient (ADC) thresholds for tissue infarction have been identified in acute stroke. IV tissue plasminogen activator (tPA) is associated with tissue salvage. We hypothesized that tPA would lower the ADC threshold for infarction. METHODS ADC and mean transit time (MTT) maps were generated for 26 patients imaged within 6 hours of stroke onset (12 tP...
متن کاملAssociation of early CT abnormalities, infarct size, and apparent diffusion coefficient reduction in acute ischemic stroke.
BACKGROUND AND PURPOSE Diffusion-weighted (DW) imaging is more sensitive for early ischemia than CT, and apparent diffusion coefficient (ADC) mapping permits quantification of the severity of cytotoxic edema. We examined the relationship between early CT findings, ischemic lesion volume on DW images, and edema subtype. METHODS Patients in whom early signs of ischemia were detected on baseline...
متن کاملRelationship between apparent diffusion coefficient and subsequent hemorrhagic transformation following acute ischemic stroke.
BACKGROUND AND PURPOSE A method for identifying patients at increased risk for developing secondary hemorrhagic transformation (HT) after acute ischemic stroke could be of significant value, particularly in patients being considered for thrombolytic therapy. We hypothesized that diffusion-weighted MRI might aid in the identification of such patients. METHODS We retrospectively analyzed 17 pat...
متن کاملCorrelation of apparent diffusion coefficient and computed tomography density in acute ischemic stroke.
BACKGROUND AND PURPOSE Diffusion-weighted MR imaging is very sensitive for the detection of restricted molecular water diffusion in acute ischemic stroke. CT is sensitive to net water uptake in ischemic edema. We compared the decrease in the apparent diffusion coefficient (ADC) in diffusion-weighted MR imaging with CT density changes to study the correlation between diffusion restriction and wa...
متن کاملCorrelation of Apparent Diffusion Coefficient and Computed Tomography Density in Acute Ischemic Stroke
and Computed Tomography Density in Acute Ischemic Stroke To the Editor: We read with interest the recent article by Kucinski et al.1 The authors observed a decrease in the apparent diffusion coefficient (ADC) in diffusion-weighted MR imaging and a corresponding decrease in CT density in patients suffering from acute ischemic stroke of the anterior cerebral circulation. CT measurements showed a ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Neurology
سال: 2023
ISSN: ['1664-2295']
DOI: https://doi.org/10.3389/fneur.2023.1203241