Yayın:
Diagnostic accuracy of computed tomography in acute ischemic stroke: A retrospective evaluation of sensitivity, specificity, and time-dependent performance

dc.contributor.authorİsmail, Taşkent
dc.date.accessioned2026-01-04T21:20:36Z
dc.date.issued2024-12-31
dc.description.abstractComputed tomography (CT) is a widely accessible and rapid imaging modality for acute ischemic stroke diagnosis, but its sensitivity in early stages remains suboptimal compared to diffusion-weighted MRI (DWI-MRI). This study aimed to evaluate the diagnostic performance of CT in comparison with DWI-MRI in acute ischemic stroke. A retrospective, single-center study was conducted, including 80 patients with suspected acute ischemic stroke and 30 controls who underwent both CT and DWI-MRI within 24 hours of presentation. Gray-white matter density differences and the hyperdense middle cerebral artery (HD-MCA) sign were analyzed to enhance CT’s diagnostic accuracy. Sensitivity, specificity, and the Area Under the Curve (AUC) were calculated for CT across four time intervals (0-6h, 6-12h, 12-24h, 24-48h). The overall diagnostic accuracy of CT (AUC=0.717) was moderate, with sensitivity and specificity values of 69.6% and 50% in the 0-6-hour interval. CT performance improved in the 12-24-hour interval, with sensitivity and specificity reaching 68.8% and 66.7%, respectively. The HD-MCA sign was observed in 18.8% of patients and showed 100% specificity but low sensitivity (30%). Gray-white matter density measurements significantly improved the diagnostic objectivity of CT, particularly in early stages. CT remains a crucial tool for the early evaluation of stroke due to its accessibility and rapid imaging capabilities. However, integrating objective measurements such as gray-white matter density ratios and complementary imaging modalities like DWI-MRI can enhance its diagnostic performance. Future studies should focus on prospective, multi-center designs with larger patient cohorts, potentially integrating artificial intelligence, to refine these strategies.  Keywords: Acute ischemic stroke; Computed tomography; Diffusion-weighted MRI; Diagnostic accuracy
dc.description.urihttps://dx.doi.org/10.5281/zenodo.14557797
dc.description.urihttps://dx.doi.org/10.5281/zenodo.14557798
dc.identifier.doi10.5281/zenodo.14557797
dc.identifier.openairedoi_dedup___::24bf87872dacf7f9507d85f95f12d195
dc.identifier.orcid0000-0001-6278-7863
dc.identifier.urihttps://hdl.handle.net/20.500.12597/42403
dc.publisherNeuro-Cell Molecular Research
dc.titleDiagnostic accuracy of computed tomography in acute ischemic stroke: A retrospective evaluation of sensitivity, specificity, and time-dependent performance
dc.typeArticle
dspace.entity.typePublication
local.api.response{"authors":[{"fullName":"İsmail, Taşkent","name":"Taşkent","surname":"İsmail","rank":1,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0001-6278-7863"},"provenance":null}}],"openAccessColor":null,"publiclyFunded":false,"type":"publication","language":{"code":"und","label":"Undetermined"},"countries":null,"subjects":null,"mainTitle":"Diagnostic accuracy of computed tomography in acute ischemic stroke: A retrospective evaluation of sensitivity, specificity, and time-dependent performance","subTitle":null,"descriptions":["Computed tomography (CT) is a widely accessible and rapid imaging modality for acute ischemic stroke diagnosis, but its sensitivity in early stages remains suboptimal compared to diffusion-weighted MRI (DWI-MRI). This study aimed to evaluate the diagnostic performance of CT in comparison with DWI-MRI in acute ischemic stroke. A retrospective, single-center study was conducted, including 80 patients with suspected acute ischemic stroke and 30 controls who underwent both CT and DWI-MRI within 24 hours of presentation. Gray-white matter density differences and the hyperdense middle cerebral artery (HD-MCA) sign were analyzed to enhance CT’s diagnostic accuracy. Sensitivity, specificity, and the Area Under the Curve (AUC) were calculated for CT across four time intervals (0-6h, 6-12h, 12-24h, 24-48h). The overall diagnostic accuracy of CT (AUC=0.717) was moderate, with sensitivity and specificity values of 69.6% and 50% in the 0-6-hour interval. CT performance improved in the 12-24-hour interval, with sensitivity and specificity reaching 68.8% and 66.7%, respectively. The HD-MCA sign was observed in 18.8% of patients and showed 100% specificity but low sensitivity (30%). Gray-white matter density measurements significantly improved the diagnostic objectivity of CT, particularly in early stages. CT remains a crucial tool for the early evaluation of stroke due to its accessibility and rapid imaging capabilities. However, integrating objective measurements such as gray-white matter density ratios and complementary imaging modalities like DWI-MRI can enhance its diagnostic performance. Future studies should focus on prospective, multi-center designs with larger patient cohorts, potentially integrating artificial intelligence, to refine these strategies.  Keywords: Acute ischemic stroke; Computed tomography; Diffusion-weighted MRI; Diagnostic accuracy"],"publicationDate":"2024-12-31","publisher":"Neuro-Cell Molecular Research","embargoEndDate":null,"sources":null,"formats":null,"contributors":null,"coverages":null,"bestAccessRight":null,"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"doi_dedup___::24bf87872dacf7f9507d85f95f12d195","originalIds":["50|datacite____::24bf87872dacf7f9507d85f95f12d195","10.5281/zenodo.14557797","50|datacite____::88d393d83a5f4dbedf2794a08d4bff6e","10.5281/zenodo.14557798"],"pids":[{"scheme":"doi","value":"10.5281/zenodo.14557797"},{"scheme":"doi","value":"10.5281/zenodo.14557798"}],"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0,"influence":2.5349236e-9,"popularity":2.4744335e-9,"impulse":0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"instances":[{"pids":[{"scheme":"doi","value":"10.5281/zenodo.14557797"}],"license":"CC BY NC","type":"Article","urls":["https://dx.doi.org/10.5281/zenodo.14557797"],"publicationDate":"2024-12-31","refereed":"nonPeerReviewed"},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.14557798"}],"license":"CC BY NC","type":"Article","urls":["https://dx.doi.org/10.5281/zenodo.14557798"],"publicationDate":"2024-12-31","refereed":"nonPeerReviewed"}],"isGreen":false,"isInDiamondJournal":false}
local.import.sourceOpenAire

Dosyalar

Koleksiyonlar