Carotid Plaque Diagnosis With 3-Dimensional Computed Tomography Angiography: A Comparison With Magnetic Resonance Imaging-Based Plaque Diagnosis

被引:0
|
作者
Omi, Tatsuo [1 ,2 ,5 ]
Hayakawa, Motoharu [2 ]
Adachi, Kazuhide [2 ]
Ohba, Shigeo [2 ]
Sadato, Akiyo [1 ,2 ]
Hasebe, Akiko [3 ]
Ishihara, Takuma [4 ]
Nakahara, Ichiro [3 ]
Hirose, Yuichi [2 ]
机构
[1] Fujita Hlth Univ, Dept Neurosurg, Okazaki Med Ctr, Toyoake, Japan
[2] Fujita Hlth Univ, Dept Neurosurg, Toyoake, Japan
[3] Fujita Hlth Univ, Dept Comprehens Strokol, Toyoake, Japan
[4] Gifu Univ, Innovat & Clin Res Promot Ctr, Hosp 1, Gifu, Japan
[5] 1-98 Dengakugakubo, Toyoake, Aichi 4701192, Japan
关键词
carotid artery stenosis; computed tomography angiography; plaque image; magnetic resonance angiography; HIGH-RISK; CT ANGIOGRAPHY; ARTERY; ENDARTERECTOMY; STENOSIS; SIGNAL; ANGIOPLASTY;
D O I
10.1097/RCT.0000000000001416
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
ObjectiveAlthough a qualitative diagnosis of plaque causing carotid stenosis has been attempted with carotid computed tomography angiography (CaCTA), no clear findings have been reported. We examined the correlation between the plaque CT values and plaque images obtained by magnetic resonance imaging to derive a qualitative diagnosis of the plaque using CaCTA.MethodsPreoperative CaCTA images acquired from patients stented for carotid stenosis were retrospectively analyzed with respect to magnetization-prepared rapid acquisition with gradient echo and time-of-flight magnetic resonance angiography data. Carotid plaques in the stenosed region were quantified in terms of CT density and the plaque/muscle ratio (magnetization-prepared rapid acquisition with gradient echo), and correlations between these 2 features were determined. Plaques were classified as stable or unstable based on the plaque/muscle ratio, with the smallest plaque/muscle ratio observed among plaques positive for intraplaque hemorrhage set as the cutoff value (1.76).ResultsA total of 165 patients (179 plaques) were included. Perioperative complications included minor stroke (n = 3), major stroke (n = 1, fatal), and hyperperfusion (n = 2). The correlation between CT density and the plaque/muscle ratio was nonlinear (P = 0.0139) and negative (P < 0.0001). The cutoff point (1.76) corresponded to a CT density of 83 HU, supporting this value as a standard reference for plaque stability.ConclusionsComputed tomography density exhibits a nonlinear (P = 0.0139) and highly negative correlation (P < 0.0001) with the plaque/muscle ratio. Our results demonstrate that plaque characteristics can be meaningfully diagnosed based on CaCTA image data.
引用
收藏
页码:488 / 493
页数:6
相关论文
共 50 条
  • [21] Carotid Plaque Characteristics on Magnetic Resonance Plaque Imaging Following Long-term Cilostazol Therapy
    Oura, Mao Yamaguchi
    Sasaki, Makoto
    Ohba, Hideki
    Narumi, Shinsuke
    Oura, Kazumasa
    Uwano, Ikuko
    Terayama, Yasuo
    JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2014, 23 (09) : 2425 - 2430
  • [22] Carotid Plaque Hemorrhage on Magnetic Resonance Imaging and Recurrent Cerebrovascular Events
    Hosseini, Akram A.
    Simpson, Richard J.
    Altaf, Nishath
    Auer, Dorothee P.
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2014, 63 (20) : 2172 - 2173
  • [23] Semiautomated Characterization of Carotid Artery Plaque Features From Computed Tomography Angiography to Predict Atherosclerotic Cardiovascular Disease Risk Score
    Zhu, Guangming
    Li, Ying
    Ding, Victoria
    Jiang, Bin
    Ball, Robyn L.
    Rodriguez, Fatima
    Fleischmann, Dominik
    Desai, Manisha
    Saloner, David
    Gupta, Ajay
    Saba, Luca
    Hom, Jason
    Wintermark, Max
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2019, 43 (03) : 452 - 459
  • [24] Comparison of Magnetic Resonance Angiography and Computed Tomography Angiography Stereoscopic Cerebral Vascular Models
    Yang, Gongchao
    Wilson, Timothy D.
    Lehman, Michael N.
    Cui, Dongmei
    BIOMEDICAL VISUALISATION, VOL 5, 2019, 1205 : 1 - 9
  • [25] A comparison of digital subtraction angiography and computed tomography angiography for the diagnosis of penetrating cerebrovascular injury
    Ares, William J.
    Jankowitz, Brian T.
    Tonetti, Daniel A.
    Gross, Bradley A.
    Grandhi, Ramesh
    NEUROSURGICAL FOCUS, 2019, 47 (05)
  • [26] COLOR DOPPLER ULTRASOUND IN DIAGNOSIS AND ASSESSMENT OF CAROTID BODY TUMORS: COMPARISON WITH COMPUTED TOMOGRAPHY ANGIOGRAPHY
    Jin, Zhan-Qiang
    He, Wen
    Wu, Dong-Fang
    Lin, Mei-Ying
    Jiang, Hua-Tang
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2016, 42 (09) : 2106 - 2113
  • [27] Semiautomated Magnetic Resonance Imaging Assessment of Carotid Plaque Lipid Content
    Skagen, Karolina
    Evensen, Kristin
    Scott, Helge
    Krohg-Sorensen, Kirsten
    Vatnehol, Svein Are
    Kristian, Per
    Skjelland, Mona
    Russell, David
    JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2016, 25 (08) : 2004 - 2010
  • [28] Computed tomography or cardiovascular magnetic resonance imaging for diagnosis of chronic coronary syndrome?
    Haenel, A.
    Stahlberg, E.
    Sieren, M. M.
    Barkhausen, J.
    RADIOLOGE, 2020, 60 (12): : 1114 - 1121
  • [29] Added prognostic value of plaque burden to computed tomography angiography and myocardial perfusion imaging
    Ahmed, Ahmed Ibrahim
    Han, Yushui
    Al Rifai, Mahmoud
    Alnabelsi, Talal
    Nabi, Faisal
    Chang, Su Min
    Chamsi-Pasha, Mohammed A.
    Nasir, Khurram
    Mahmarian, John J.
    Cainzos-Achirica, Miguel
    Al-Mallah, Mouaz H.
    ATHEROSCLEROSIS, 2021, 334 : 9 - 16
  • [30] Comparison of Predictive Ability of Computed Tomography and Magnetic Resonance Imaging in Patients with Carotid Atherosclerosis Complicated with Stroke
    Zhou, Jiangfeng
    Chen, Hongling
    Yang, Tao
    Xing, Cuihong
    Jia, Fengxia
    IRANIAN JOURNAL OF PUBLIC HEALTH, 2019, 48 (06) : 1052 - 1058