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Background and Purpose: Investigating mutation carriers with Dutch-type hereditary (D-) cerebral amyloid angiopathy (CAA), offers the possibility to identify markers in pre- and symptomatic stages of CAA. Optical coherence tomography (OCT) has shown potential to detect retinal changes in several neurodegenerative diseases. The aim of the present exploratory study was to investigate thinning of retinal layers as a possible (early) biomarker in D-CAA mutation carriers., Methods: Twenty-one D-CAA mutation carriers (n = 8 presymptomatic, n = 13 symptomatic, median age 50 years) and nine controls (median age 53 years) were scanned using spectral-domain OCT. Symptomatic mutation carriers were defined as having a history of ≥1 symptomatic intracerebral hemorrhage. D-CAA mutation carriers and controls were recruited from our D-CAA cohort and a healthy control cohort. Total peripapillary retinal nerve fiber layer (pRNFL) thickness, six regions of pRNFL, total macular volume (TMV), and individual macular region thickness were measured and analysed, adjusted for age., Results: The overall median (interquartile range) thickness of pRNFL was lower in symptomatic, but not presymptomatic D-CAA mutation carriers compared with controls [91 (86-95) µm vs. 99 (87-108) µm; P = 0.006]. Both presymptomatic [111 (93-122) µm vs. 131 (123-143) µm; P < 0.001] and symptomatic carriers [119 (95-128) µm vs. 131 (123-143) µm; P = 0.034] had a thinner temporal-superior quadrant of the pRNFL versus controls. TMV or individual macular layer thickness did not differ between carriers and controls., Conclusions: Thinning of the retinal nerve fiber layer may be a candidate marker of disease in hereditary CAA. Further studies are needed to determine whether retinal thinning is present in sporadic CAA and estimate its value as a marker for disease progression., (© 2020 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.)

Treatment selection is becoming increasingly more important in acute ischemic stroke patient care. Clinical variables and radiological image biomarkers (old age, pre-stroke mRS, NIHSS, occlusion location, ASPECTS, among others) have an important role in treatment selection and prognosis. Radiological biomarkers require expert annotation and are subject to inter-observer variability. Recently, Deep Learning has been introduced to reproduce these radiological image biomarkers. Instead of reproducing these biomarkers, in this work, we investigated Deep Learning techniques for building models to directly predict good reperfusion after endovascular treatment (EVT) and good functional outcome using CT angiography images. These models do not require image annotation and are fast to compute. We compare the Deep Learning models to Machine Learning models using traditional radiological image biomarkers. We explored Residual Neural Network (ResNet) architectures, adapted them with Structured Receptive Fields (RFNN) and auto-encoders (AE) for network weight initialization. We further included model visualization techniques to provide insight into the network's decision-making process. We applied the methods on the MR CLEAN Registry dataset with 1301 patients. The Deep Learning models outperformed the models using traditional radiological image biomarkers in three out of four cross-validation folds for functional outcome (average AUC of 0.71) and for all folds for reperfusion (average AUC of 0.65). Model visualization showed that the arteries were relevant features for functional outcome prediction. The best results were obtained for the ResNet models with RFNN. Auto-encoder initialization often improved the results. We concluded that, in our dataset, automated image analysis with Deep Learning methods outperforms radiological image biomarkers for stroke outcome prediction and has the potential to improve treatment selection., (Copyright © 2019. Published by Elsevier Ltd.)

Migraine is often regarded as a debilitating headache disorder without long-term consequences. However, migraine is an important risk factor for cardiovascular disease, especially in young women who suffer from migraine with aura. This increased risk is not limited to stroke but includes cardiac disease. The absolute risk for cardiovascular disease remains low in young women, however the prevalence of migraine is particularly high in this population. Migraine should therefore be incorporated as a factor in cardiovascular risk assessment. Mechanisms underlying the relationship between migraine and cardiovascular disease are complex and probably multifactorial. Endothelial dysfunction may play a pivotal role. Knowledge about the interaction of migraine with other risk factors and evidence-based recommendations on clinical management remain limited. Lifestyle advice, including the promotion of smoking cessation, is of utmost importance.

Background and Purpose: Dynamic CTA is a promising technique for visualization of collateral filling in patients with acute ischemic stroke. Our aim was to describe collateral filling with dynamic CTA and assess the relationship with infarct volume at follow-up., Materials and Methods: We selected patients with acute ischemic stroke due to proximal MCA occlusion. Patients underwent NCCT, single-phase CTA, and whole-brain CT perfusion/dynamic CTA within 9 hours after stroke onset. For each patient, a detailed assessment of the extent and velocity of arterial filling was obtained. Poor radiologic outcome was defined as an infarct volume of ≥70 mL. The association between collateral score and follow-up infarct volume was analyzed with Poisson regression., Results: Sixty-one patients with a mean age of 67 years were included. For all patients combined, the interval that contained the peak of arterial filling in both hemispheres was between 11 and 21 seconds after ICA contrast entry. Poor collateral status as assessed with dynamic CTA was more strongly associated with infarct volume of ≥70 mL (risk ratio, 1.9; 95% CI, 1.3-2.9) than with single-phase CTA (risk ratio, 1.4; 95% CI, 0.8-2.5). Four subgroups (good-versus-poor and fast-versus-slow collaterals) were analyzed separately; the results showed that compared with good and fast collaterals, a similar risk ratio was found for patients with good-but-slow collaterals (risk ratio, 1.3; 95% CI, 0.7-2.4)., Conclusions: Dynamic CTA provides a more detailed assessment of collaterals than single-phase CTA and has a stronger relationship with infarct volume at follow-up. The extent of collateral flow is more important in determining tissue fate than the velocity of collateral filling. The timing of dynamic CTA acquisition in relation to intravenous contrast administration is critical for the optimal assessment of the extent of collaterals., (© 2016 by American Journal of Neuroradiology.)

Background: Suffering a stroke has major implications for the patient. To understand human suffering, one should understand society. Pirandello described society as a higher entity than the individual, thereby justifying human adaptability to society. We explore a qualitative finding that suggests that social trends may influence how stroke patients prioritize aspects of their rehabilitation., Methods: We compare a contemporary patient's experience of stroke recovery with that of a fictional character from the works of Luigi Pirandello. Both patients had two main residual symptoms: hemiparesis and aphasia., Results: The rehabilitation priorities of the two patients differed, and appeared to reflect the contemporaneous demands of society. Mobility was prioritized in 1910; communication was prioritized in 2010. However, essential aspects of 'being a stroke patient' remained unchanged; both patients retained a sense of self and both coped emotionally by being hopeful., Conclusions: We conclude that stroke patients respond to society's contemporaneous demands and expectations. Currently, society demands participation in a large social environment and this is reflected in stroke patients' priorities. This analogy could enable medical professionals to better understand the social impact of stroke, and consequently offer appropriate interventions to improve rehabilitation outcomes for individual patients., (Copyright © 2012 S. Karger AG, Basel.)

In patients with supratentorial intracerebral haemorrhage (ICH), it is important to discriminate superficial (lobar) and deep (basal ganglia) location, since this has consequences for research and prognosis. Haemorrhages at these sites have different causes and different risk factors. We studied the interobserver variation between three radiologists in classifying fifty large haematomas on CT as deep or lobar. The kappa values were almost perfect, ranging from 0.88 to 0.96. We conclude that the assessment of CT by radiologist is a reliable method to discriminate between lobar versus deep origin even for large intracerebral haematomas.