Caudate body (CB) sign: New early CT sign of hyperacute anterior cerebral circulation infarction

Khalaf, Hamzah Suhail; Ahmed, Shamima; Kurman, Andrew J.

doi:10.1007/s10140-011-0979-y

Cited by 1 publication

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“…Although the signs suggesting ischemic stroke on ncCT images have been studied, they are not always visible within first 8 hours from the stroke onset (usually referred as the hyperacute phase) . Moreover, increased workloads and odd work hours can decrease the sensitivity of trained neuroradiologists to subtle changes of the brain tissue in ncCT.…”

Section: Introductionmentioning

confidence: 99%

A quantitative symmetry‐based analysis of hyperacute ischemic stroke lesions in noncontrast computed tomography

et al. 2017

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Purpose Early identification of ischemic stroke plays a significant role in treatment and potential recovery of damaged brain tissue. In non-contrast CT (ncCT), the differences between ischemic changes and healthy tissue are usually very subtle during the hyper-acute phase (<8 hours from the stroke onset). Therefore, visual comparison of both hemispheres is an important step in clinical assessment. A quantitative symmetry-based analysis of texture features of ischemic lesions in non-contrast CT images may provide an important information for differentiation of ischemic and healthy brain tissue in this phase. Methods One hundred thirty-nine (139) ncCT scans of hyperacute ischemic stroke with follow-up magnetic resonance diffusion-weighted (MR-DW) images were collected. The regions of stroke were identified in the MR-DW images, which were spatially aligned to corresponding ncCT images. A state-of-the-art symmetric diffeomorphic image registration was utilized for the alignment of CT and MR-DW, for identification of individual brain hemispheres, and for localization of the region representing healthy tissue contralateral to the stroke cores. Texture analysis included extraction and classification of co-occurrence and run length texture-based image features in the regions of ischemic stroke and their contralateral regions. Results The classification schemes achieved area under the receiver operating characteristic [Az] ≈ 0.82 for the whole dataset. There was no statistically significant difference in the performance of classifiers for the data sets with time between 2 and 8 hours from symptom onset. The performance of the classifiers did not depend on the size of the stroke regions. Conclusions The results provide a set of optimal texture features which are suitable for distinguishing between hyperacute ischemic lesions and their corresponding contralateral brain tissue in non-contrast CT. This work is an initial step towards development of an automated decision support system for detection of hyperacute ischemic stroke lesions on non-contrast CT of the brain.

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Section: Introductionmentioning

confidence: 99%