New aspects in the analysis of atherosclerotic vessel wall lesions

1993 ◽  
pp. 541-547
Author(s):  
P. Pavlov ◽  
J. Metz ◽  
J. Pill ◽  
H. Dickhaus
Keyword(s):  
Stroke ◽  
2019 ◽  
Vol 50 (1) ◽  
pp. 88-94 ◽  
Author(s):  
Maarten H.T. Zwartbol ◽  
Anja G. van der Kolk ◽  
Rashid Ghaznawi ◽  
Yolanda van der Graaf ◽  
Jeroen Hendrikse ◽  
...  

2014 ◽  
Vol 23 (9) ◽  
pp. 2419-2424 ◽  
Author(s):  
Tatsunori Natori ◽  
Makoto Sasaki ◽  
Mitsuharu Miyoshi ◽  
Hideki Ohba ◽  
Mao Yamaguchi Oura ◽  
...  

2015 ◽  
Vol 25 (6) ◽  
pp. 1692-1700 ◽  
Author(s):  
Anja G. van der Kolk ◽  
Jaco J. M. Zwanenburg ◽  
Manon Brundel ◽  
Geert Jan Biessels ◽  
Fredy Visser ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e103980 ◽  
Author(s):  
Birger Mensel ◽  
Jens-Peter Kühn ◽  
Andreas Hoene ◽  
Norbert Hosten ◽  
Ralf Puls

2017 ◽  
Vol 46 (4) ◽  
pp. 1167-1176 ◽  
Author(s):  
Petrice M. Cogswell ◽  
Taylor L. Davis ◽  
Megan K. Strother ◽  
Carlos C. Faraco ◽  
Allison O. Scott ◽  
...  

2020 ◽  
pp. 0271678X2095851
Author(s):  
Maarten HT Zwartbol ◽  
Anja G van der Kolk ◽  
Hugo J Kuijf ◽  
Theo D Witkamp ◽  
Rashid Ghaznawi ◽  
...  

The etiology of cerebral small vessel disease (CSVD) is the subject of ongoing research. Although intracranial atherosclerosis (ICAS) has been proposed as a possible cause, studies on their relationship remain sparse. We used 7 T vessel wall magnetic resonance imaging (MRI) to study the association between intracranial vessel wall lesions—a neuroimaging marker of ICAS—and MRI features of CSVD. Within the SMART-MR study, cross-sectional analyses were performed in 130 patients (68 ± 9 years; 88% male). ICAS burden—defined as the number of vessel wall lesions—was determined on 7 T vessel wall MRI. CSVD features were determined on 1.5 T and 7 T MRI. Associations between ICAS burden and CSVD features were estimated with linear or modified Poisson regression, adjusted for age, sex, vascular risk factors, and medication use. In 125 patients, ≥1 vessel wall lesions were found (mean 8.5 ± 5.7 lesions). ICAS burden (per + 1 SD) was associated with presence of large subcortical and/or cortical infarcts (RR = 1.65; 95%CI: 1.12–2.43), lacunes (RR = 1.45; 95% CI: 1.14–1.86), cortical microinfarcts (RR = 1.48; 95%CI: 1.13–1.94), and total white matter hyperintensity volume ( b = 0.24; 95%CI: 0.02–0.46). Concluding, patients with a higher ICAS burden had more CSVD features, although no evidence of co-location was observed. Further longitudinal studies are required to determine if ICAS precedes development of CSVD.


2019 ◽  
Vol 4 (2) ◽  
pp. 102-104 ◽  
Author(s):  
Weihai Xu

High-resolution MRI (HRMRI) has emerged as a useful tool for clinical research in recent years. Compared with traditional cranial and vessel imaging, HRMRI provides more additional valuable pathophysiology information that is helpful for the differential diagnosis of intracranial atherosclerosis, dissection and vasculitis. However, there are some points that a neurologist should keep in mind. First, although enhanced vessel wall imaging is widely applied for research purposes, it is not appropriate for routine clinical use. Any injury or inflammation within vessel wall can result in enhancement, which is unspecific for a diagnosis. Second, although plaque components identified on HRMRI arouse researchers’ interest, they may have limited positive predictive value for future stroke. Ruptured plaques may have higher prevalence in asymptomatic patients than expected. More prospective observational studies are required. Third, the vessel wall morphology features remain the useful and reliable clue for a diagnosis. It is true that eccentric vessel wall lesions most likely represent atherosclerosis if vessel dissection is easily excluded. For concentric wall lesions, however, the underlying pathophysiology is complicated, either atherosclerotic or non-atherosclerotic. Fourth, HRMRI can show luminal thrombus directly and provide valuable details. All in all, when HRMRI is used by a neurologist, it should not be viewed as the only key for a diagnosis. The diagnosis should be made based on patient history, lab works, other imaging technique and even genetic examinations.


2018 ◽  
Vol 48 (5) ◽  
pp. 1237-1246 ◽  
Author(s):  
Satoru Ide ◽  
Shingo Kakeda ◽  
Mari Miyata ◽  
Shigeru Iwata ◽  
Naoaki Ohkubo ◽  
...  

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