Literature DB >> 30861249

Semiautomatic carotid intraplaque hemorrhage volume measurement using 3D carotid MRI.

Jin Liu1, Jie Sun2, Niranjan Balu2, Marina S Ferguson2, Jinnan Wang2, William S Kerwin2, Daniel S Hippe2, Amy Wang2, Thomas S Hatsukami3, Chun Yuan1,2.   

Abstract

BACKGROUND: Presence of intraplaque hemorrhage (IPH) is a known risk factor for stroke and plaque progression. Accurate and reproducible measurement of IPH volume are required for further risk stratification.
PURPOSE: To develop a semiautomatic method to measure carotid IPH volume. STUDY TYPE: Retrospective. POPULATION: Patients scheduled for carotid endarterectomy and patients with 16-79% asymptomatic carotid stenosis by ultrasound. FIELD STRENGTH: 3T. SEQUENCE: Simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) MRI. ASSESSMENT: A semiautomated volumetric measurement of IPH using signal intensity thresholding of 3D SNAP volume was implemented. Fourteen carotid endarterectomy patients were enrolled to determine the signal intensity threshold of IPH using histology. Thirty-three patients with 16-79% asymptomatic stenosis were scanned twice within 1 month to evaluate reproducibility. The normalized SNAP intensity with the highest Youden index for predicting IPH on histology was used for thresholding. Scan-rescan reproducibility of IPH measurement was assessed using the intraclass correlation coefficient (ICC) and coefficient of variation (CV). STATISTICAL TESTS: Receiver operating characteristic curve, area under the curve, Cohen's kappa, intraclass correlation coefficient, coefficient of variance (CV), and paired t-test.
RESULTS: IPH detection by the algorithm had substantial agreement with manual review (kappa: 0.92; 95% confidence interval [CI]: 0.83, 1.00) and moderate agreement with histology (kappa: 0.55; 95% CI: 0.34, 0.68). IPH volume measurements by the algorithm were strongly correlated with histology (Spearman's rho = 0.76, P = 0.002). IPH measurements were also reproducible, with ICCs of 0.86 (95% CI: 0.57, 0.96), 0.77 (95% CI: 0.32, 0.94), and 0.99 (95% CI: 0.93, 1.00) for maximum/mean normalized intensity and IPH volume, respectively. The corresponding CVs were 10.6%, 5.2%, and 11.8%. DATA
CONCLUSION: IPH volume measurements on SNAP MRI are highly reproducible using semiautomatic measurement. Level of Evidence 2 Technical Efficacy Stage 2 J. Magn. Reson. Imaging 2019;50:1055-1062.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  3D volume; SNAP MRI; carotid; intraplaque hemorrhage; vessel wall MRI

Mesh:

Year:  2019        PMID: 30861249      PMCID: PMC6742582          DOI: 10.1002/jmri.26698

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  32 in total

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2.  Automated in vivo segmentation of carotid plaque MRI with Morphology-Enhanced probability maps.

Authors:  Fei Liu; Dongxiang Xu; Marina S Ferguson; Baocheng Chu; Tobias Saam; Norihide Takaya; Thomas S Hatsukami; Chun Yuan; William S Kerwin
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3.  Reproducibility of high-resolution MRI for the identification and the quantification of carotid atherosclerotic plaque components: consequences for prognosis studies and therapeutic trials.

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4.  In vivo quantitative measurement of intact fibrous cap and lipid-rich necrotic core size in atherosclerotic carotid plaque: comparison of high-resolution, contrast-enhanced magnetic resonance imaging and histology.

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

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7.  Presence of intraplaque hemorrhage stimulates progression of carotid atherosclerotic plaques: a high-resolution magnetic resonance imaging study.

Authors:  Norihide Takaya; Chun Yuan; Baocheng Chu; Tobias Saam; Nayak L Polissar; Gail P Jarvik; Carol Isaac; Judith McDonough; Cynthia Natiello; Randy Small; Marina S Ferguson; Thomas S Hatsukami
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8.  Moderate carotid artery stenosis: MR imaging-depicted intraplaque hemorrhage predicts risk of cerebrovascular ischemic events in asymptomatic men.

Authors:  Navneet Singh; Alan R Moody; David J Gladstone; General Leung; Radhakrishnan Ravikumar; James Zhan; Robert Maggisano
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9.  Association between carotid plaque characteristics and subsequent ischemic cerebrovascular events: a prospective assessment with MRI--initial results.

Authors:  Norihide Takaya; Chun Yuan; Baocheng Chu; Tobias Saam; Hunter Underhill; Jianming Cai; Nam Tran; Nayak L Polissar; Carol Isaac; Marina S Ferguson; Gwenn A Garden; Steven C Cramer; Kenneth R Maravilla; Beverly Hashimoto; Thomas S Hatsukami
Journal:  Stroke       Date:  2006-02-09       Impact factor: 7.914

10.  Characterization of complicated carotid plaque with magnetic resonance direct thrombus imaging in patients with cerebral ischemia.

Authors:  Alan R Moody; Rachael E Murphy; Paul S Morgan; Anne L Martel; G S Delay; Steve Allder; Shane T MacSweeney; William G Tennant; John Gladman; John Lowe; Beverley J Hunt
Journal:  Circulation       Date:  2003-06-09       Impact factor: 29.690

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  6 in total

1.  Predictive power of high-resolution vessel wall magnetic resonance imaging in ischemic stroke.

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2.  Semiautomated Segmentation and Volume Measurements of Cervical Carotid High-Signal Plaques Using 3D Turbo Spin-Echo T1-Weighted Black-Blood Vessel Wall Imaging: A Preliminary Study.

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3.  Assessment of carotid atherosclerotic plaque using 3D motion-sensitized driven-equilibrium prepared rapid gradient echo: a comparative study.

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4.  Plaque Morphologic Quantification Reliability of 3D Whole-Brain Vessel Wall Imaging in Patients With Intracranial Atherosclerotic Disease: A Comparison With Conventional 3D Targeted Vessel Wall Imaging.

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5.  Integrated head and neck imaging of symptomatic patients with stroke using simultaneous non-contrast cardiovascular magnetic resonance angiography and intraplaque hemorrhage imaging as compared with digital subtraction angiography.

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Review 6.  Magnetic resonance imaging of carotid plaques: current status and clinical perspectives.

Authors:  Mohamed Kassem; Alexandru Florea; Felix M Mottaghy; Robert van Oostenbrugge; M Eline Kooi
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  6 in total

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