Rapid Automated Quantification of Cerebral Leukoaraiosis on CT Images: A Multicenter Validation Study.

Purpose To validate a random forest method for segmenting cerebral white matter lesions (WMLs) on computed tomographic (CT) images in a multicenter cohort of patients with acute ischemic stroke, by comparison with fluid-attenuated recovery (FLAIR) magnetic resonance (MR) images and expert consensus. Materials and Methods A retrospective sample of 1082 acute ischemic stroke cases was obtained that was composed of unselected patients who were treated with thrombolysis or who were undergoing contemporaneous MR imaging and CT, and a subset of International Stroke Thrombolysis-3 trial participants. Automated delineations of WML on images were validated relative to experts' manual tracings on CT images, and co-registered FLAIR MR imaging, and ratings were performed by using two conventional ordinal scales. Analyses included correlations between CT and MR imaging volumes, and agreements between automated and expert ratings. Results Automated WML volumes correlated strongly with expert-delineated WML volumes at MR imaging and CT (r2 = 0.85 and 0.71 respectively; P < .001). Spatial-similarity of automated maps, relative to WML MR imaging, was not significantly different to that of expert WML tracings on CT images. Individual expert WML volumes at CT correlated well with each other (r2 = 0.85), but varied widely (range, 91% of mean estimate; median estimate, 11 mL; range of estimated ranges, 0.2-68 mL). Agreements (κ) between automated ratings and consensus ratings were 0.60 (Wahlund system) and 0.64 (van Swieten system) compared with agreements between individual pairs of experts of 0.51 and 0.67, respectively, for the two rating systems (P < .01 for Wahlund system comparison of agreements). Accuracy was unaffected by established infarction, acute ischemic changes, or atrophy (P > .05). Automated preprocessing failure rate was 4%; rating errors occurred in a further 4%. Total automated processing time averaged 109 seconds (range, 79-140 seconds). Conclusion An automated method for quantifying CT cerebral white matter lesions achieves a similar accuracy to experts in unselected and multicenter cohorts.

Rehabilitation using virtual gaming for Hospital and hOMe-Based training for the Upper limb post Stroke (RHOMBUS II): protocol of a feasibility randomised controlled trial.

INTRODUCTION: Upper limb (UL) rehabilitation is most effective early after stroke, with higher doses leading to improved outcomes. For the stroke survivor, the repetition may be monotonous. For clinicians, providing a clinically meaningful level of input can be challenging. As such, time spent engaged in UL activity among subacute stroke survivors remains inadequate. Opportunities for the stroke survivor to engage with UL rehabilitation in a safe, accessible and engaging way are essential to improving UL outcomes following stroke. The NeuroBall is a non-immersive virtual reality (VR) digital system designed for stroke rehabilitation, specifically for the arm and hand. The aim of the Rehabilitation using virtual gaming for Hospital and hOMe-Based training for the Upper limb post Stroke study is to determine the safety, feasibility and acceptability of the NeuroBall as a rehabilitation intervention for the UL in subacute stroke. METHODS AND ANALYSIS: A feasibility randomised controlled trial (RCT) will compare the NeuroBall plus usual care with usual care only, in supporting UL rehabilitation over 7 weeks. Twenty-four participants in the subacute poststroke phase will be recruited while on the inpatient or early supported discharge (ESD) stroke pathway. Sixteen participants will be randomised to the intervention group and eight to the control group. Outcomes assessed at baseline and 7 weeks include gross level of disability, arm function, spasticity, pain, fatigue and quality of life (QoL). Safety will be assessed by recording adverse events and using pain, spasticity and fatigue scores. A parallel process evaluation will assess feasibility and acceptability of the intervention. Feasibility will also be determined by assessing fidelity to the intervention. Postintervention, semistructured interviews will be used to explore acceptability with 12 participants from the intervention group, four from the usual care group and with up to nine staff involved in delivering the intervention. ETHICS AND DISSEMINATION: This trial has ethical approval from Brunel University London's Research Ethics Committee 25257-NHS-Oct/2020-28121-2 and the Wales Research Ethics Committee 5 Bangor (Health and Care Research Wales) REC ref: 20/WA/0347. The study is sponsored by Brunel University London. CONTACT: Dr Derek Healy, Chair, University Research Ethics committee (Derek.healy@brunel.ac.uk). Trial results will be submitted for publication in peer-reviewed journals, presented at national and international conferences and distributed to people with stroke. TRIAL REGISTRATION NUMBER: ISRCTN11440079; Pre-results.