Frontiers in Neuroimaging · 2023 · 18 citations · 13 references
MedicineNeurologyRadiologyBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyAcute Ischemic StrokeBrain ImagingMagnetic Resonance ImagingMedical ImagingStrokeStroke ImagingDiceInter-rater ReliabilityInter-rater Reliability AssessmentIntraclass CorrelationLesion SegmentationStroke Lesion SegmentationStroke NeuroimagingT1-weighted Imaging
Although automated methods for stroke lesion segmentation exist, many researchers still rely on manual segmentation as the gold standard. Our detailed, standardized protocol for stroke lesion tracing on high-resolution 3D T1-weighted (T1w) magnetic resonance imaging (MRI) has been used to trace over 1,300 stroke MRI. In the current study, we describe the protocol, including a step-by-step method utilized for training multiple individuals to trace lesions ("tracers") in a consistent manner and suggestions for distinguishing between lesioned and non-lesioned areas in stroke brains. Inter-rater and intra-rater reliability were calculated across six tracers trained using our protocol, resulting in an average intraclass correlation of 0.98 and 0.99, respectively, as well as a Dice similarity coefficient of 0.727 and 0.839, respectively. This protocol provides a standardized guideline for researchers performing manual lesion segmentation in stroke T1-weighted MRI, with detailed methods to promote reproducibility in stroke research.
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Corticospinal tract lesion load: An imaging biomarker for stroke motor outcomes
Wuwei Feng, Jasmine Wang, Pratik Y. Chhatbar et al. · Annals of Neurology · 2015 · 348 citations · Full text