Publications by authors named "F Werdiger"
Background: Hemorrhagic transformation (HT) following reperfusion therapies is a serious complication for patients with acute ischemic stroke. Segmentation and quantification of hemorrhage provides critical insights into patients' condition and aids in prognosis. This study aims to automatically segment hemorrhagic regions on follow-up non-contrast head CT (NCCT) for stroke patients treated with endovascular thrombectomy (EVT).
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- Stroke is a major health issue globally, prompting the need for automated detection techniques on brain scans to identify intracranial occlusions quickly in emergencies.
- Researchers developed a method that processes dynamic CT Angiography (CTA) images from CT Perfusion data, tested it on 207 patients, and evaluated its effectiveness based on occlusion difficulty and other factors.
- Results showed that lower difficulty images had high sensitivity (96%) and specificity (90%), while more complex cases performed poorly, highlighting that adding perfusion data improved specificity significantly.
We present an annotated dataset for the purposes of creating a benchmark in Artificial Intelligence for automated clot detection. While there are commercial tools available for automated clot detection on computed tomographic (CT) angiographs, they have not been compared in a standardized manner whereby accuracy is reported on a publicly available benchmark dataset. Furthermore, there are known difficulties in automated clot detection - namely, cases where there is robust collateral flow, or residual flow and occlusions of the smaller vessels - and it is necessary to drive an initiative to overcome these challenges.
View Article and Find Full Text PDFIntroduction: Computed tomography perfusion (CTP) imaging is widely used in cases of suspected acute ischemic stroke to positively identify ischemia and assess suitability for treatment through identification of reversible and irreversible tissue injury. Traditionally, this has been done setting single perfusion thresholds on two or four CTP parameter maps. We present an alternative model for the estimation of tissue fate using multiple perfusion measures simultaneously.
View Article and Find Full Text PDFBackground: Hemorrhagic transformation (HT) following reperfusion therapies for acute ischaemic stroke often predicts a poor prognosis. This systematic review and meta-analysis aims to identify risk factors for HT, and how these vary with hyperacute treatment [intravenous thrombolysis (IVT) and endovascular thrombectomy (EVT)].
Methods: Electronic databases PubMed and EMBASE were used to search relevant studies.