Literature DB >> 30355108

Magnetic Resonance Imaging and Clinical Factors Associated With Ischemic Stroke in Patients Suspected of Cervical Artery Dissection.

J Scott McNally1, Peter J Hinckley1, Akihiko Sakata1, Laura B Eisenmenger1, Seong-Eun Kim1, Adam H De Havenon2, Edward P Quigley1, Eli Iacob1, Gerald S Treiman1,3,4, Dennis L Parker1.   

Abstract

Background and Purpose- Cervical artery dissection is a major cause of ischemic stroke in the young and presents with various imaging findings, including stenosis and intramural hematoma (IMH). Our goal was to determine the relative contribution of lumen findings and IMH to acute ischemic stroke and whether a heavily T1-weighted sequence could more reliably detect IMH. Methods- Institutional review board approval was obtained for this retrospective study of 254 patients undergoing magnetic resonance imaging/magnetic resonance angiography for suspected dissection. Imaging included standard turbo spin-echo (TSE) T1-fat saturation and heavily T1-weighted flow-suppressed magnetization-prepared rapid acquisition gradient-recalled echo sequences. Subjects with stents (1) or atherosclerotic disease (26) were excluded, leaving 227 subjects. Kappa analysis was used to determine IMH interrater reliability on magnetization-prepared rapid acquisition gradient-recalled echo and T1-fat saturation in 4 vessels per subject. Lumen findings, cardiovascular risk factors, medications, and nondissection stroke sources were recorded. Mixed-effects multivariate Poisson regression was used to determine the prevalence ratio of each factor with acute ischemic stroke, accounting for 4 vessels per patient with backward elimination to a threshold P value of 0.10. Results- Patients were 41.9% men, mean age of 47.3±16.6 years, with 114 dissections and 107 strokes. IMH interrater reliability was significantly higher for magnetization-prepared rapid acquisition gradient-recalled echo (κ=0.83; 95% CI, 0.78-0.86) versus T1-fat saturation (0.58; 95% CI, 0.57-0.68). The final acute stroke prediction model included magnetization-prepared rapid acquisition gradient-recalled echo-detected IMH (prevalence ratio, 2.0; 95% CI, 1.1-3.9; P=0.034), stenosis, pseudoaneurysm, male sex, current smoking, and nondissection stroke sources. The final model had high discrimination for acute stroke (area under the curve, 0.902; 95% CI, 0.872-0.932), compared with models without stenosis (0.861; 95% CI, 0.821-0.902), and without stenosis and IMH (0.831; 95% CI, 0.783-0.879). All 3 models were significantly different at P<0.05. Conclusions- Along with stenosis, IMH detection significantly contributed to acute ischemic stroke pathogenesis in patients with suspected cervical artery dissection. In addition, IMH detection can be made more reliable with heavily T1-weighted sequences.

Entities:  

Keywords:  carotid arteries; dissection; magnetic resonance imaging; risk factors; stroke; vertebral artery

Mesh:

Year:  2018        PMID: 30355108      PMCID: PMC6208137          DOI: 10.1161/STROKEAHA.118.021868

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  46 in total

1.  An optimized 3D inversion recovery prepared fast spoiled gradient recalled sequence for carotid plaque hemorrhage imaging at 3.0 T.

Authors:  David C Zhu; Marina S Ferguson; J Kevin DeMarco
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2.  An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American Heart Association/American Stroke Association.

Authors:  Ralph L Sacco; Scott E Kasner; Joseph P Broderick; Louis R Caplan; J J Buddy Connors; Antonio Culebras; Mitchell S V Elkind; Mary G George; Allen D Hamdan; Randall T Higashida; Brian L Hoh; L Scott Janis; Carlos S Kase; Dawn O Kleindorfer; Jin-Moo Lee; Michael E Moseley; Eric D Peterson; Tanya N Turan; Amy L Valderrama; Harry V Vinters
Journal:  Stroke       Date:  2013-05-07       Impact factor: 7.914

3.  The new MRI modalities "BPAS and VISTA" for the diagnosis of VA dissection.

Authors:  Koichiro Takemoto; Koichi Takano; Hiroshi Abe; Masakazu Okawa; Mitsutoshi Iwaasa; Toshio Higashi; Tooru Inoue
Journal:  Acta Neurochir Suppl       Date:  2011

Review 4.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

Review 5.  Influence of Erythrocyte Membrane Stability in Atherosclerosis.

Authors:  Mario da Silva Garrote-Filho; Morun Bernardino-Neto; Nilson Penha-Silva
Journal:  Curr Atheroscler Rep       Date:  2017-04       Impact factor: 5.113

6.  Association between signal hyperintensity on T1-weighted MR imaging of carotid plaques and ipsilateral ischemic events.

Authors:  N Yamada; M Higashi; R Otsubo; T Sakuma; N Oyama; R Tanaka; K Iihara; H Naritomi; K Minematsu; H Naito
Journal:  AJNR Am J Neuroradiol       Date:  2007-02       Impact factor: 3.825

7.  Timing of Incident Stroke Risk After Cervical Artery Dissection Presenting Without Ischemia.

Authors:  Nicholas A Morris; Alexander E Merkler; Gino Gialdini; Hooman Kamel
Journal:  Stroke       Date:  2017-03       Impact factor: 7.914

8.  Hemorrhage in the atherosclerotic carotid plaque: a high-resolution MRI study.

Authors:  Baocheng Chu; Annette Kampschulte; Marina S Ferguson; William S Kerwin; Vasily L Yarnykh; Kevin D O'Brien; Nayak L Polissar; Thomas S Hatsukami; Chun Yuan
Journal:  Stroke       Date:  2004-04-01       Impact factor: 7.914

9.  Diffusion measurement of intraplaque hemorrhage and intramural hematoma using diffusion weighted MRI at 3T in cervical artery.

Authors:  Bin Yao; Li Yang; Guangbin Wang; Honglu Shi; Shanshan Wang; Huihua Li; Weibo Chen; Queenie Chan
Journal:  Eur Radiol       Date:  2015-12-15       Impact factor: 5.315

10.  Reproducibility of Middle Cerebral Artery Stenosis Measurements by DSA: Comparison of the NASCET and WASID Methods.

Authors:  Luguang Chen; Qian Zhan; Chao Ma; Qi Liu; Xuefeng Zhang; Xia Tian; Yuanliang Jiang; Yinmei Dong; Shiyue Chen; Jianping Lu
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

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  6 in total

1.  High-Resolution Magnetic Resonance Imaging of Cervicocranial Artery Dissection: Imaging Features Associated With Stroke.

Authors:  Ye Wu; Fang Wu; Yuehong Liu; Zhaoyang Fan; Marc Fisher; Debiao Li; Weihai Xu; Tao Jiang; Jingliang Cheng; Bin Sun; Xunming Ji; Qi Yang
Journal:  Stroke       Date:  2019-09-13       Impact factor: 7.914

2.  The etiologies and prognosis associated with spinal cord infarction.

Authors:  Jung Lung Hsu; Mei-Yun Cheng; Ming-Feng Liao; Hui-Ching Hsu; Yi-Ching Weng; Kuo-Hsuan Chang; Hong-Shiu Chang; Hung-Chou Kuo; Chin-Chang Huang; Rong-Kuo Lyu; Kun-Ju Lin; Long-Sun Ro
Journal:  Ann Clin Transl Neurol       Date:  2019-07-15       Impact factor: 4.511

3.  The Added Value of Vessel Wall MRI in the Detection of Intraluminal Thrombus in Patients Suspected of Craniocervical Artery Dissection.

Authors:  Yuehong Liu; Sijie Li; Ye Wu; Fang Wu; Ying Chang; Haibin Li; Xiuqin Jia; Luca Saba; Xunming Ji; Qi Yang
Journal:  Aging Dis       Date:  2021-12-01       Impact factor: 6.745

Review 4.  Vessel wall MR imaging in neuroradiology.

Authors:  Yasutaka Fushimi; Kazumichi Yoshida; Masakazu Okawa; Takakuni Maki; Satoshi Nakajima; Akihiko Sakata; Sachi Okuchi; Takuya Hinoda; Mitsunori Kanagaki; Yuji Nakamoto
Journal:  Radiol Med       Date:  2022-07-30       Impact factor: 6.313

5.  Predictors of ischemic events in patients with unilateral extracranial vertebral artery dissection: A single-center exploratory study.

Authors:  Yanhong Yan; Ziwei Lu; Yafang Ding; Jianhong Pu; Chunhong Hu; Zhongzhao Teng; Pinjing Hui
Journal:  Front Neurol       Date:  2022-07-28       Impact factor: 4.086

6.  Three-Dimensional High-Resolution Magnetic Resonance Imaging for the Assessment of Cervical Artery Dissection.

Authors:  Xianjin Zhu; Yi Shan; Runcai Guo; Tao Zheng; Xuebin Zhang; Zunjing Liu; Kunpeng Liu
Journal:  Front Aging Neurosci       Date:  2022-07-05       Impact factor: 5.702

  6 in total

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