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Quantification of cerebral veins in patients with acute migraine with aura: A fully automated quantification algorithm using susceptibility-weighted imaging.

ABSTRACT: INTRODUCTION:Susceptibility weighted imaging (SWI) is a very sensitive technique that often depicts prominent focal veins (PFV) in patients with acute migraine with aura (MwA). Interpretation of visual venous asymmetry (VVA) between brain hemispheres on SWI may help support the clinical diagnosis of MwA. Our goal was to develop an automated algorithm for segmentation and quantification of cerebral veins using SWI. MATERIALS AND METHODS:Expert readers visually evaluated SWI of patients with acute MwA for VVA. Subsequently a fully automated algorithm based on 3D normalization and 2D imaging processing using SPM and MATLAB image processing software including top-hat transform was used to quantify cerebral veins and to calculate volumetric differences between hemispheres. RESULTS:Fifty patients with MwA were examined with SWI. VVA was present in 20 of 50 patients (40%). In 95% of patients with VVA, the fully automated calculation agreed with the side that visually harboured more PFV. Our algorithm showed a sensitivity of 95%, specificity of 90% and accuracy of 92% for detecting VVA. Patients with VVA had significantly larger vein volume on the hemisphere with more PFV compared to patients without (15.90 ± 5.38 ml vs 11.93 ± 5.31 ml; p = 0.013). The mean difference in venous volume between hemispheres in patients with VVA was larger compared to patients without VVA (16.34 ± 7.76% vs 4.31 ± 3.26% p < 1E-10). The average time between aura onset and SWI correlated negatively with venous volume of the dominant brain hemisphere (r = -0.348; p = 0.038). CONCLUSION:A fully automated algorithm can accurately identify and quantify cerebral venous distribution on SWI. Absolute quantification may be useful for the future assessment of patients with suspected diseases, which may be associated with a unilateral abnormal degree of venous oxygenation.

SUBMITTER: Breiding PS

PROVIDER: S-EPMC7269254 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Quantification of cerebral veins in patients with acute migraine with aura: A fully automated quantification algorithm using susceptibility-weighted imaging.

Breiding Philipe Sebastian PS Kellner-Weldon Frauke F Grunder Lorenz L Scutelnic Adrian A Fischer Urs U Meinel Thomas Raphael TR Slavova Nedelina N Gralla Jan J El-Koussy Marwan M Denier Niklaus N

PloS one 20200603 6

<h4>Introduction</h4>Susceptibility weighted imaging (SWI) is a very sensitive technique that often depicts prominent focal veins (PFV) in patients with acute migraine with aura (MwA). Interpretation of visual venous asymmetry (VVA) between brain hemispheres on SWI may help support the clinical diagnosis of MwA. Our goal was to develop an automated algorithm for segmentation and quantification of cerebral veins using SWI.<h4>Materials and methods</h4>Expert readers visually evaluated SWI of pati ...[more]

PMID: 32492059

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Project description:ObjectiveThis systematic review provides a summary and evaluation of cases of migraine aura-like episodes elicited by sclerotherapy of veins of the lower extremities and discusses possible underlying mechanisms.BackgroundSclerotherapy is a commonly used treatment for varicose veins. Symptoms resembling migraine aura have been reported during and following sclerotherapy of the lower extremities, suggesting that sclerotherapy may elicit migraine aura.MethodsWe searched PubMed for articles reporting neurological complications that were transient and fully reversible following sclerotherapy treatment for varicose veins in the lower limbs. There were no restrictions regarding article language or publication date. Only original studies and case reports were included. Two authors independently reviewed included articles in detail. Data were extracted from each article, including details on symptoms, previous migraine history, sclerotherapy method, and the presence of a right-to-left cardiac shunt in patients. We evaluated whether episodes fulfilled modified International Classification of Headache Disorders, 3rd edition, criteria for 1.2 Migraine with aura or 1.5.2 Probable migraine with aura.ResultsThe search yielded 777 articles, 28 of which were included. Twenty-six articles reported 119 episodes of transient neurological symptoms in 34,500 sclerotherapy sessions. Two additional articles reported six episodes of transient neurological symptoms with no specification of the number of sessions. Of the 125 episodes, 119 involved transient visual disturbances, and eight met the modified criteria for Probable migraine with aura. In most episodes (98%), clinical information was insufficient to determine if the criteria were fulfilled.ConclusionsSymptoms that are clinically indistinguishable from migraine with aura attacks may occur following sclerotherapy, although this likely is rare. Microembolization through a right-to-left shunt triggering cortical spreading depolarization is a possible mechanism. Our findings are limited by infrequent specific assessments for neurological complications and a low level of detail in the description of symptoms in the available literature. Future prospective studies are needed to determine this phenomenon's incidence and underlying mechanisms.

Project description:IntroductionIt is unclear whether patients diagnosed according to International Classification of Headache Disorders criteria for migraine with aura (MA) and migraine without aura (MO) experience distinct disorders or whether their migraine subtypes are genetically related.AimUsing a novel gene-based (statistical) approach, we aimed to identify individual genes and pathways associated both with MA and MO.MethodsGene-based tests were performed using genome-wide association summary statistic results from the most recent International Headache Genetics Consortium study comparing 4505 MA cases with 34,813 controls and 4038 MO cases with 40,294 controls. After accounting for non-independence of gene-based test results, we examined the significance of the proportion of shared genes associated with MA and MO.ResultsWe found a significant overlap in genes associated with MA and MO. Of the total 1514 genes with a nominally significant gene-based p value (pgene-based ≤ 0.05) in the MA subgroup, 107 also produced pgene-based ≤ 0.05 in the MO subgroup. The proportion of overlapping genes is almost double the empirically derived null expectation, producing significant evidence of gene-based overlap (pleiotropy) (pbinomial-test = 1.5 × 10(-4)). Combining results across MA and MO, six genes produced genome-wide significant gene-based p values. Four of these genes (TRPM8, UFL1, FHL5 and LRP1) were located in close proximity to previously reported genome-wide significant SNPs for migraine, while two genes, TARBP2 and NPFF separated by just 259 bp on chromosome 12q13.13, represent a novel risk locus. The genes overlapping in both migraine types were enriched for functions related to inflammation, the cardiovascular system and connective tissue.ConclusionsOur results provide novel insight into the likely genes and biological mechanisms that underlie both MA and MO, and when combined with previous data, highlight the neuropeptide FF-amide peptide encoding gene (NPFF) as a novel candidate risk gene for both types of migraine.

Project description:Background and objectivesIn general, suddenly occurring neurological deficits, i.e., negative neurological symptoms, are considered symptoms of focal cerebral ischemia, while positive irritative symptoms with gradual onset are viewed as the characteristics of migraine aura. Nevertheless, cortical spreading depolarization, the pathophysiological basis of migraine aura, has also been observed in acute ischemic stroke. The aim of our study was to determine the frequency of migraine aura-like symptoms at ischemic stroke onset and stroke-like symptoms in migraine with aura.MethodsWe interviewed 350 consecutive patients with ischemic stroke and 343 with migraine with aura using a structured questionnaire. Stroke diagnosis was confirmed by imaging, and migraine with aura was diagnosed according to the current criteria of the International Headache Society. Patients with wake-up strokes or severe cognitive deficits that precluded a useful interview were excluded from the study.ResultsSeventy-eight patients with stroke (22.3%) reported visual symptoms, 145 (41.4%) sensory symptoms, 197 (56.3%) a paresis, and 201 patients (57.4%) more than one symptom, compared to 326 migraine patients with aura (95%) with visual symptoms (P < 0.001), 175 (51%) with sensory symptoms (p = 0.011), 50 (14.6%) with paresis (P < 0.001), and 211 (61.5%) with more than one symptom (p = 0.27). Among patients with stroke, migraine-like symptoms were frequent: 36 patients (46.2%) with visual disturbance and 78 (53.8%) with sensory symptoms experienced irritative sensations. Paresis-onset in stroke lasted longer than 5 min in 43 patients (21.8%). Spreading of sensory and motor symptoms occurred in 37 (25.5%) and 37 (18.8%) patients, respectively. Stroke-like negative symptoms in migraine with aura occurred in 39 patients (12%) with visual symptoms, in 55 (31.4%) with sensory symptoms, and paresis appeared suddenly in 14 patients (28%). More than one symptom in succession occurred in 117 patients with stroke (58.2%) and in 201 migraine with aura patients (95.3%; P < 0.001).ConclusionMany patients with stroke experience migraine-like symptoms at stroke onset, and many migraine with aura patients have stroke-like symptoms. Though overall the symptom frequencies of the two groups are significantly different, clarifying the differential diagnosis in an individual patient requires additional history elements, physical findings, or results of ancillary investigations.

Dataset Information

Quantification of cerebral veins in patients with acute migraine with aura: A fully automated quantification algorithm using susceptibility-weighted imaging.

Publications

Quantification of cerebral veins in patients with acute migraine with aura: A fully automated quantification algorithm using susceptibility-weighted imaging.

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