Publications by authors named "M Mlynash"
Background: While advances in endovascular thrombectomy (EVT) have led to high reperfusion rates, most patients treated with EVT do not avoid disability. Post-reperfusion hemorrhagic transformation (HT) is a potential target for improving outcomes. This study examined pretreatment blood-brain barrier (BBB) disruption in tissue that would subsequently become part of the final infarct to evaluate its role in post-EVT HT.
View Article and Find Full Text PDFArticle Synopsis
- HARM is an indicator of blood-brain barrier damage linked to negative outcomes in patients suffering from acute ischemic stroke caused by blocked large blood vessels (AIS-LVO).
- The study investigated whether poor venous outflow (VO) is associated with higher rates of HARM in patients after thrombectomy, finding that patients with bad VO experienced significantly more HARM.
- Key findings showed that patients with poor VO had worse stroke severity scores, larger ischemic tissue damage, and a higher likelihood (31%) of developing HARM post-treatment compared to those with good VO (10%).
Background: In patients with an acute ischemic stroke, the penumbra is defined as ischemic tissue that remains salvageable when reperfusion occurs. However, the expected clinical recovery congruent with penumbral salvage is not always observed.
Aims: We aimed to determine whether the magnetic resonance imaging (MRI)-defined penumbra includes irreversible neuronal loss that impedes expected clinical recovery after reperfusion.
Objectives: This study aimed to compare clinical and perfusion imaging profiles in acute ischemic stroke with large vessel occlusion (AIS-LVO) between patients with intracranial atherosclerotic disease (ICAD) and non-ICAD who underwent endovascular treatment (EVT).
Methods: Data from AIS-LVO patients over the anterior circulation undergoing EVT across two stroke centers were retrospectively analyzed. Clinical profiles and perfusion parameters from automated processing of perfusion imaging were compared between ICAD and non-ICAD groups.
Article Synopsis
- * This study looked at how well doctors could tell if patients had DCI by looking at special brain images called perfusion maps, comparing those with patients who didn't have aSAH.
- * The results showed that the doctors were fairly good at diagnosing DCI, with around 65-78% accuracy, meaning they could spot problems pretty well most of the time.