Histological validation of simultaneous non-contrast angiography and intraplaque hemorrhage imaging (SNAP) for characterizing carotid intraplaque hemorrhage

被引:14
作者
Li, Dongye [1 ]
Qiao, Huiyu [2 ]
Han, Yongjun [2 ,3 ]
Han, Hualu [2 ]
Yang, Dandan [2 ,3 ]
Cao, Jingli [4 ]
Xu, Huimin [5 ]
Wang, Tao [6 ]
Wang, Yajie [7 ]
Shen, Jun [1 ]
Zhao, Xihai [2 ]
机构
[1] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Radiol, 107 Yanjiang Rd West, Guangzhou 510120, Peoples R China
[2] Tsinghua Univ, Sch Med, Ctr Biomed Imaging Res, Dept Biomed Engn, Beijing 100084, Peoples R China
[3] Capital Med Univ, Beijing Inst Brain Disorders, Lab Brain Disorders, Minist Sci & Technol,Collaborat Innovat Ctr Brain, Beijing, Peoples R China
[4] Capital Med Univ, China Natl Clin Res Ctr Neurol Dis, Beijing Tiantan Hosp, Beijing, Peoples R China
[5] Peking Univ Third Hosp, Dept Radiol, Beijing, Peoples R China
[6] Peking Univ Third Hosp, Dept Neurosurg, Beijing, Peoples R China
[7] Capital Med Univ, Beijing Ditan Hosp, Dept Clin Lab, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Carotid artery; Atherosclerotic plaque; Magnetic resonance imaging; ATHEROSCLEROSIS CHARACTERIZATION MATCH; PLAQUE HEMORRHAGE; PROGRESSION; MRI;
D O I
10.1007/s00330-020-07352-0
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objectives This study sought to validate the performance of simultaneous non-contrast angiography and intraplaque hemorrhage (SNAP) imaging in characterizing carotid IPH by histology. Methods Thirty-five patients with carotid atherosclerotic disease (symptomatic 50-70% stenosis or > 70% stenosis) scheduled for carotid endarterectomy underwent 3.0-T carotid MR imaging by acquiring SNAP and magnetization-prepared rapid acquisition gradient-echo (MP-RAGE) sequences. Presence and area of IPH were separately evaluated on SNAP and MP-RAGE images. Presence and area of IPH were also assessed on histology. Agreement between SNAP/MP-RAGE and histology was determined in identify and quantify IPH using Cohen kappa, Spearman correlation, and Bland-Altman analyses. Results Of all 35 patients (mean age: 63.1 +/- 8.8 years; 27 males), 128 slices with successful registration were eligible for analysis. The accuracy, sensitivity, specificity, and positive and negative predictive values were 86.7%, 85%, 89.6%, 93.2%, and 78.2% for SNAP, and 76.6%, 75%, 79.2%, 85.7%, and 65.5% for MP-RAGE in identification of IPH, respectively. In identification of IPH, the kappa value between SNAP and histology and between MP-RAGE and histology was 0.725 and 0.520, respectively. The correlation between SNAP and histology (r= 0.805,p< 0.001) was stronger than that between MP-RAGE and histology (r= 0.637,p< 0.001) in measuring IPH area. Bland-Altman analysis showed that, in measuring IPH area, the bias of SNAP (1.4 mm(2), 95% CI: - 0.016 to 2.883) was smaller than that of MP-RAGE (1.7 mm(2), 95% CI: - 0.039 to 3.430) compared with histology. Conclusions This validation study by histology demonstrates that SNAP sequence better identifies and quantifies carotid intraplaque hemorrhage compared with traditional MP-RAGE sequence.
引用
收藏
页码:3106 / 3115
页数:10
相关论文
共 25 条
[1]   Carotid intraplaque hemorrhage predicts recurrent symptoms in patients with high-grade carotid stenosis [J].
Altaf, Nishath ;
MacSweeney, Shane T. ;
Gladman, John ;
Auer, Dorothee P. .
STROKE, 2007, 38 (05) :1633-1635
[2]   Hemorrhage in the atherosclerotic carotid plaque: A high-resolution MRI study [J].
Chu, BC ;
Kampschulte, A ;
Ferguson, MS ;
Kerwin, WS ;
Yarnykh, VL ;
O'Brien, KD ;
Polissar, NL ;
Hatsukami, TS ;
Yuan, C .
STROKE, 2004, 35 (05) :1079-1084
[3]   Comparison Study Between Multicontrast Atherosclerosis Characterization (MATCH) and Conventional Multicontrast MRI of Carotid Plaque With Histology Validation [J].
Dai, Yuanyuan ;
Lv, Peng ;
Lin, Jiang ;
Luo, Rongkui ;
Liu, Hao ;
Ji, Aihua ;
Liu, Hui ;
Fu, Caixia .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2017, 45 (03) :764-770
[4]   Multi-contrast atherosclerosis characterization (MATCH) of carotid plaque with a single 5-min scan: technical development and clinical feasibility [J].
Fan, Zhaoyang ;
Yu, Wei ;
Xie, Yibin ;
Dong, Li ;
Yang, Lixin ;
Wang, Zhanhong ;
Conte, Antonio Hernandez ;
Bi, Xiaoming ;
An, Jing ;
Zhang, Tianjing ;
Laub, Gerhard ;
Shah, Prediman Krishan ;
Zhang, Zhaoqi ;
Li, Debiao .
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, 2014, 16
[5]   Carotid Plaque MRI and Stroke Risk A Systematic Review and Meta-analysis [J].
Gupta, Ajay ;
Baradaran, Hediyeh ;
Schweitzer, Andrew D. ;
Kamel, Hooman ;
Pandya, Ankur ;
Delgado, Diana ;
Dunning, Allison ;
Mushlin, Alvin I. ;
Sanelli, Pina C. .
STROKE, 2013, 44 (11) :3071-3077
[6]   Carotid plaque hemorrhage on magnetic resonance imaging strongly predicts recurrent ischemia and stroke [J].
Hosseini, Akram A. ;
Kandiyil, Neghal ;
MacSweeney, Shane T. S. ;
Altaf, Nishath ;
Auer, Dorothee P. .
ANNALS OF NEUROLOGY, 2013, 73 (06) :774-784
[7]   Differentiation of intraplaque versus juxtaluminal hemorrhage/thrombus in advanced human carotid atherosclerotic lesions by in vivo magnetic resonance imaging [J].
Kampschulte, A ;
Ferguson, MS ;
Kerwin, WS ;
Polissar, NL ;
Chu, B ;
Saam, T ;
Hatsukami, TS ;
Yuan, C .
CIRCULATION, 2004, 110 (20) :3239-3244
[8]   Identification of intraplaque haemorrhage in carotid artery by simultaneous non-contrast angiography and intraPlaque haemorrhage (SNAP) imaging: a magnetic resonance vessel wall imaging study [J].
Li, Dongye ;
Zhao, Huilin ;
Chen, Xiaoyi ;
Chen, Shuo ;
Qiao, Huiyu ;
He, Le ;
Li, Rui ;
Xu, Jianrong ;
Yuan, Chun ;
Zhao, Xihai .
EUROPEAN RADIOLOGY, 2018, 28 (04) :1681-1686
[9]   Semiautomatic carotid intraplaque hemorrhage volume measurement using 3D carotid MRI [J].
Liu, Jin ;
Sun, Jie ;
Balu, Niranjan ;
Ferguson, Marina S. ;
Wang, Jinnan ;
Kerwin, William S. ;
Hippe, Daniel S. ;
Wang, Amy ;
Hatsukami, Thomas S. ;
Yuan, Chun .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 50 (04) :1055-1062
[10]   Semi-automatic carotid intraplaque hemorrhage detection and quantification on Magnetization-Prepared Rapid Acquisition Gradient-Echo (MP-RAGE) with optimized threshold selection [J].
Liu, Jin ;
Balu, Niranjan ;
Hippe, Daniel S. ;
Ferguson, Marina S. ;
Martinez-Malo, Vanesa ;
DeMarco, J. Kevin ;
Zhu, David C. ;
Ota, Hideki ;
Sun, Jie ;
Xu, Dongxiang ;
Kerwin, William S. ;
Hatsukami, Thomas S. ;
Yuan, Chun .
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, 2016, 18