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Tachikawa Y, Maki Y, Ikeda K, Yoshikai H, Toyonari N, Hamano H, Chiwata N, Suzuyama K, Takahashi Y. Flow independent black blood imaging with a large FOV from the neck to the aortic arch: A feasibility study at 3 tesla. Magn Reson Imaging 2024; 108:77-85. [PMID: 38331052 DOI: 10.1016/j.mri.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 02/03/2024] [Accepted: 02/03/2024] [Indexed: 02/10/2024]
Abstract
PURPOSE To investigate the feasibility of obtaining black-blood imaging with a large FOV from the neck to the aortic arch at 3 T using a newly modified Relaxation-Enhanced Angiography without Contrast and Triggering for Black-Blood Imaging (REACT-BB). MATERIALS AND METHODS REACT-BB provides black-blood images by adjusting the inversion time (TI) in REACT to the null point of blood. The optimal TI for REACT-BB was investigated in 10 healthy volunteers with TI varied from 200 ms to 1400 ms. Contrast ratios were calculated between muscle and three branch arteries of the aortic arch. Additionally, a comparison between REACT-BB and MPRAGE involved evaluating the depiction of high-intensity plaques in 222 patients with stroke or transient ischemic attack. Measurements included plaque-to-muscle signal intensity ratios (PMR), plaque volumes, and carotid artery stenosis rates in 60 patients with high-intensity plaques in carotid arteries. RESULTS REACT-BB with TI = 850 ms produced the black-blood image with the best contrast between blood and background tissues. REACT-BB outperformed MPRAGE in depicting high-intensity plaques in the aortic arch (55.4% vs 45.5%) and exhibited superior overall image quality in visual assessment (3.31 ± 0.70 vs 2.89 ± 0.73; p < 0.05). Although the PMR of REACT-BB was significantly lower than MPRAGE (2.227 ± 0.601 vs 2.285 ± 0.662; P < 0.05), a strong positive correlation existed between REACT-BB and MPRAGE (ρ = 0.935; P < 0.05), and all high-intensity plaques that MPRAGE detected were clearly detected by REACT-BB. CONCLUSION REACT-BB provides black-blood images with uniformly suppressed fat and blood signals over a large FOV from the neck to the aortic arch with comparable or better high-signal plaque depiction than MPRAGE.
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Affiliation(s)
- Yoshihiko Tachikawa
- Division of Radiological Technology, Department of Medical Technology, Karatsu Red Cross Hospital, 2430 Watada, Karatsu, Saga 847-8588, Japan.
| | - Yasunori Maki
- Division of Radiological Technology, Department of Medical Technology, Karatsu Red Cross Hospital, 2430 Watada, Karatsu, Saga 847-8588, Japan
| | - Kento Ikeda
- Division of Radiological Technology, Department of Medical Technology, Karatsu Red Cross Hospital, 2430 Watada, Karatsu, Saga 847-8588, Japan
| | - Hikaru Yoshikai
- Division of Radiological Technology, Department of Medical Technology, Karatsu Red Cross Hospital, 2430 Watada, Karatsu, Saga 847-8588, Japan
| | - Nobuyuki Toyonari
- Department of Radiology, Kumamoto Chuo Hospital, 1-5-1 Tainoshima, Minami-ku, Kumamoto 862-0962, Japan
| | - Hiroshi Hamano
- Philips Japan, Philips Building, 2-13-37 Kohnan, Minato-ku, Tokyo 108-8507, Japan
| | - Naoya Chiwata
- Division of Radiological Technology, Department of Medical Technology, Karatsu Red Cross Hospital, 2430 Watada, Karatsu, Saga 847-8588, Japan
| | - Kenji Suzuyama
- Department of Neurosurgery, Karatsu Red Cross Hospital, 2430 Watada, Karatsu, Saga 847-8588, Japan
| | - Yukihiko Takahashi
- Department of Radiology, Karatsu Red Cross Hospital, 2430 Watada, Karatsu, Saga 847-8588, Japan
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Gemmete JJ. Vessel Wall Characterization Using Quantitative MR Imaging. Neuroimaging Clin N Am 2024; 34:281-292. [PMID: 38604712 DOI: 10.1016/j.nic.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
MR imaging's exceptional capabilities in vascular imaging stem from its ability to visualize and quantify vessel wall features, such as plaque burden, composition, and biomechanical properties. The application of advanced MR imaging techniques, including two-dimensional and three-dimensional black-blood MR imaging, T1 and T2 relaxometry, diffusion-weighted imaging, and dynamic contrast-enhanced MR imaging, wall shear stress, and arterial stiffness, empowers clinicians and researchers to explore the intricacies of vascular diseases. This array of techniques provides comprehensive insights into the development and progression of vascular pathologies, facilitating earlier diagnosis, targeted treatment, and improved patient outcomes in the management of vascular health.
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Affiliation(s)
- Joseph J Gemmete
- Department of Radiology, Michigan Medicine, 1500 East Medican Center Drive, UH B1D 328, Ann Arbor, MI 48109.
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Ren L, Xu R, Zhao C, Li W, Wang S, Cao C, Gong Y, Zhu J, Feng X, Ren B, Xia S. Tortuosity and Proximal-Specific Hemodynamics Associated with Plaque Location in the Carotid Bulb Stenosis. J Vasc Res 2023; 60:160-171. [PMID: 37499638 DOI: 10.1159/000531584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 03/14/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND Atherosclerotic plaque locations in the carotid bulb increasingly have been found to be associated with patterns of ischemic lesions and plaque progression. However, the occurrence of carotid bulb plaque is a complex process. We aimed to investigate plaque characteristics and geometric and hemodynamic parameters among patients with body and apical plaques of the carotid bulb and to identify the mechanism of bulb plaque formation and location. METHODS Consecutive patients with single carotid bulb stenosis (50-99%) were enrolled retrospectively. Patients were divided into body and apical plaque groups based on plaque location. Plaque location and characteristics were identified and measured on high-resolution vessel wall magnetic resonance imaging. Geometric parameters were derived from time-of-flight magnetic resonance imaging. Computational fluid dynamics simulations were performed to quantify wall shear stress (WSS) and four associated WSS-based metrics on the plaque side, on the non-plaque side, and in different parts of the lesion. Plaque characteristics and geometric and hemodynamic parameters were compared, and their associations with the plaque location were determined. RESULTS Seventy patients were recruited (41 body plaques and 29 apical plaques). WSSplaque values were lower than WSSnon-plaque values for all plaques (median [interquartile range], 12.59 [9.83-22.14] vs. 17.27 [11.63-27.63] Pa, p = 0.001). In a multivariate binary logistic regression, the tortuosity of the stenosed region, the magnitudes of the mean relative residence time, and the minimum transverse WSS in the proximal part of the lesion were the key factors independently associated with plaque location (p = 0.022, 0.013, and 0.012, respectively). CONCLUSIONS Plaque formation was associated with the local flow pattern, and the tortuosity and proximal-specific hemodynamics were significantly associated with plaque location in the carotid bulb.
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Affiliation(s)
- Lei Ren
- Department of Radiology, First Central Clinical School, Tianjin Medical University, Tianjin, China
- Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Rongjie Xu
- College of Computer Science, Nankai University, Tianjin, China
| | - Chenxi Zhao
- Department of Radiology, First Central Clinical School, Tianjin Medical University, Tianjin, China
| | - Wenfei Li
- Department of Radiology, First Central Clinical School, Tianjin Medical University, Tianjin, China
- Department of Radiology, First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Shu Wang
- Department of Breast Oncoplastic Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Chen Cao
- Department of Radiology, Tianjin University Huanhu Hospital, Tianjin, China
| | - Yan Gong
- Department of Radiology, Tianjin Nankai Hospital, Tianjin, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthineers Ltd., Beijing, China
| | - Xuequan Feng
- Department of Neurosurgery, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Bo Ren
- College of Computer Science, Nankai University, Tianjin, China
| | - Shuang Xia
- Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
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Wan M, Yan L, Xu Z, Hou Z, Kang K, Cui R, Yu Y, Song J, Hui F, Wang Y, Miao Z, Lou X, Ma N. Symptomatic and Asymptomatic Chronic Carotid Artery Occlusion on High-Resolution MR Vessel Wall Imaging. AJNR Am J Neuroradiol 2022; 43:110-116. [PMID: 34857516 PMCID: PMC8757554 DOI: 10.3174/ajnr.a7365] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/28/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE Chronic carotid artery occlusion remains a poorly understood risk factor for subsequent stroke, and potential revascularization is dependent on understanding the anatomy and nature of the occlusion. Luminal imaging cannot assess the nature of an occlusion, so the internal structure of the occlusion must be inferred. The present study examines the signal characteristics of symptomatic and asymptomatic carotid occlusion that may point to management differentiation. MATERIALS AND METHODS We prospectively recruited patients who were diagnosed with chronic carotid artery occlusion defined as longer than 4 weeks and confirmed by DSA. All patients underwent high-resolution MR vessel wall imaging examinations after enrollment. Baseline characteristics, vessel wall imaging features, and DSA features were collected and evaluated. The vessel wall imaging features included segment involvement, signal intensity, contrast enhancement, and vessel wall thickness. The symptomatic and asymptomatic chronic carotid artery occlusions were compared. RESULTS A total of 44 patients with 48 lesions were included in this study from February 2020 to December 2020. Of the 48 lesions, 35 (72.9%) were symptomatic and 13 (27.1%) were asymptomatic. There was no difference in baseline and DSA features. On vessel wall imaging, C1 and C2 were the most commonly involved segments (91.7% and 68.8%, respectively). Compared with symptomatic lesions, asymptomatic lesions were more often isointense (69.2%) in the distal segment (P = .03). Both groups had diffuse wall thickening (80% and 100%). CONCLUSIONS Signal characteristics between those with symptomatic and asymptomatic carotid artery occlusions differ in a statistically significant fashion, indicating a different structure of the occlusion.
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Affiliation(s)
- M. Wan
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China,Department of Neurology (M.W.), Shijingshan Teaching Hospital of Capital Medical University, Beijing Shijingshan Hospital, Beijing, China
| | - L. Yan
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - Z. Xu
- Department of Neurology (Z.X.), The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Z. Hou
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - K. Kang
- Neurology (K.K., Y.W.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China,China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - R. Cui
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - Y. Yu
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - J. Song
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - F.K. Hui
- Department of Radiology and Radiological Sciences (F.K.H.), Johns Hopkins Hospital, Baltimore, Maryland
| | - Y. Wang
- Neurology (K.K., Y.W.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China,China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - Z. Miao
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
| | - X. Lou
- Department of Radiology (X.L.), Chinese PLA General Hospital, Beijing, China
| | - N. Ma
- From the Department of Interventional Neuroradiology (M.W., L.Y., Z.H., R.C., Y.Y., J.S., Z.M., N.M.),China National Clinical Research Center for Neurological Diseases (M.W., L.Y., Z.H., K.K., R.C., Y.Y., J.S., Y.W., Z.M., N.M.), Beijing, China
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Baylam Geleri D, Watase H, Chu B, Chen L, Zhao H, Zhao X, Hatsukami TS, Yuan C. Detection of Advanced Lesions of Atherosclerosis in Carotid Arteries Using 3-Dimensional Motion-Sensitized Driven-Equilibrium Prepared Rapid Gradient Echo (3D-MERGE) Magnetic Resonance Imaging as a Screening Tool. Stroke 2021; 53:194-200. [PMID: 34587796 DOI: 10.1161/strokeaha.120.032505] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Two-dimensional high-resolution multicontrast magnetic resonance imaging (2D-MC MRI) is currently the most reliable and reproducible noninvasive carotid vessel wall imaging technique. However, the long scan time required for 2D-MC MRI restricts its practical clinical application. Alternatively, 3-dimensional motion-sensitized driven-equilibrium prepared rapid gradient echo (3D-MERGE) vessel wall MRI can provide high isotropic resolution with extensive coverage in two minutes. In this study, we sought to prove that 3D-MERGE alone can serve as a screening tool to identify advanced carotid lesions. METHODS Two hundred twenty-seven subjects suspected of recent ischemic stroke or transient ischemic attack were imaged using 2D-MC MRI with an imaging time of 30 minutes, then with 3D-MERGE with an imaging time of 2 minutes, on 3T-MRI scanners. Two experienced reviewers interpreted plaque components using 2D-MC MRI as the reference standard and categorized plaques using a modified American Heart Association lesion classification for MRI. Plaques of American Heart Association type IV and above were classified as advanced. Arteries of American Heart Association types I to II and III were categorized as normal or with early lesions, respectively. One radiologist independently reviewed only 3D-MERGE and labeled the plaques as advanced if they had a wall thickness of >2 mm with high or low signal intensity compared with the adjacent sternocleidomastoid muscle. Sensitivity, specificity, and accuracy for 3D-MERGE were calculated. RESULTS Four hundred forty-nine arteries from 227 participants (mean age 61.2 years old, 64% male) were included in the analysis. Sensitivity, specificity, and accuracy for identification of advanced lesions on 3D-MERGE were 95.0% (95% CI, 91.8-97.2), 86.9% (95% CI, 81.4-92.0), 93.8% (95% CI, 91.1-95.8), respectively. CONCLUSIONS 3D-MERGE can accurately identify advanced carotid atherosclerotic plaques in patients suspected of stroke or transient ischemic attack. It has a more extensive coverage and higher sensitivity and specificity for advanced plaque detection with a much shorter acquisition time than 2D-MC MRI. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT02017756.
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Affiliation(s)
- Duygu Baylam Geleri
- Department of Radiology, University of Washington, Seattle, WA. (D.B.G, B.C., C.Y.)
| | - Hiroko Watase
- Department of Surgery, University of Washington, Seattle, WA. (H.W., T.S.H.)
| | - Baocheng Chu
- Department of Radiology, University of Washington, Seattle, WA. (D.B.G, B.C., C.Y.).,BioMolecular Imaging Center, University of Washington, Seattle, WA. (B.C., C.Y.)
| | - Li Chen
- Department of Electrical and Computer Engineering, University of Washington, Seattle, WA. (L.C.)
| | - Huilin Zhao
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University Shanghai, China (H.Z.)
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China (X.Z.)
| | - Thomas S Hatsukami
- Department of Surgery, University of Washington, Seattle, WA. (H.W., T.S.H.)
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA. (D.B.G, B.C., C.Y.).,BioMolecular Imaging Center, University of Washington, Seattle, WA. (B.C., C.Y.)
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Xu X, Zhou F, Hua Y, Liu B, Wang L, Hou W, Xia M. Current Smoking is a Risk Factor for the Irregular Surface and Calcification of Carotid Plaque in Men. Int J Gen Med 2021; 14:3989-3997. [PMID: 34349548 PMCID: PMC8326222 DOI: 10.2147/ijgm.s295921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 03/25/2021] [Indexed: 11/23/2022] Open
Abstract
Objective To explore whether current smoking could influence plaque characteristics and determine its correlation to the irregular surface and calcification of carotid plaque. Methods Three hundred and seventeen patients with severe carotid atherosclerosis stenosis (SCAS) detected by color duplex flow imaging (CDFI) and confirmed by CT angiography (CTA) were recruited. The results of laboratory parameters were collected by using electronic database of the hospital. Computerized tomography (CT) scanning and high-resolution ultrasonography were performed for assessment of plaque morphology, respectively. Results All enrolled smokers and non-smokers had no significant difference among all characteristics not related to smoking. CT scanning could efficiently identify the difference among enrolled smokers and non-smokers not only for the characteristics related to smoking but also the onsets of carotid plaque. Surface morphology was also efficiently detected by ultrasonography. Further ridge trace analysis showed that ultrasonography is efficient for diagnosis of calcified plaque compared with gold standard for plaque diagnosis. Further correlation analysis showed that ultrasonography parameters could offer reliable evidence for plaque scores, which was associated with age index. Ultrasonography parameters could efficiently differentiate plaque morphologies among enrolled smokers and never-smokers. Conclusion Current smoking was positively associated with plaque calcification onsets, and smoking cessation could efficiently attenuate such injury. High-frequency ultrasound can clearly distinguish the details of calcification with promising clinical significance for current smoking patients.
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Affiliation(s)
- Xiangli Xu
- Department of Ultrasound, The Second Hospital of Harbin, Harbin, People's Republic of China
| | - Fubo Zhou
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yang Hua
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Beibei Liu
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Lili Wang
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Weihong Hou
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Mingyu Xia
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China
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7
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Saba L, Sanagala SS, Gupta SK, Koppula VK, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Pareek G, Miner M, Sfikakis PP, Protogerou A, Misra DP, Agarwal V, Sharma AM, Viswanathan V, Rathore VS, Turk M, Kolluri R, Viskovic K, Cuadrado-Godia E, Kitas GD, Sharma N, Nicolaides A, Suri JS. Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1206. [PMID: 34430647 PMCID: PMC8350643 DOI: 10.21037/atm-20-7676] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 02/25/2021] [Indexed: 12/12/2022]
Abstract
Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the United States of America and globally. Carotid arterial plaque, a cause and also a marker of such CVD, can be detected by various non-invasive imaging modalities such as magnetic resonance imaging (MRI), computer tomography (CT), and ultrasound (US). Characterization and classification of carotid plaque-type in these imaging modalities, especially into symptomatic and asymptomatic plaque, helps in the planning of carotid endarterectomy or stenting. It can be challenging to characterize plaque components due to (I) partial volume effect in magnetic resonance imaging (MRI) or (II) varying Hausdorff values in plaque regions in CT, and (III) attenuation of echoes reflected by the plaque during US causing acoustic shadowing. Artificial intelligence (AI) methods have become an indispensable part of healthcare and their applications to the non-invasive imaging technologies such as MRI, CT, and the US. In this narrative review, three main types of AI models (machine learning, deep learning, and transfer learning) are analyzed when applied to MRI, CT, and the US. A link between carotid plaque characteristics and the risk of coronary artery disease is presented. With regard to characterization, we review tools and techniques that use AI models to distinguish carotid plaque types based on signal processing and feature strengths. We conclude that AI-based solutions offer an accurate and robust path for tissue characterization and classification for carotid artery plaque imaging in all three imaging modalities. Due to cost, user-friendliness, and clinical effectiveness, AI in the US has dominated the most.
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Affiliation(s)
- Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (AOU), Cagliari, Italy
| | - Skandha S Sanagala
- CSE Department, CMR College of Engineering & Technology, Hyderabad, India.,CSE Department, Bennett University, Greater Noida, UP, India
| | - Suneet K Gupta
- CSE Department, Bennett University, Greater Noida, UP, India
| | - Vijaya K Koppula
- CSE Department, CMR College of Engineering & Technology, Hyderabad, India
| | - Amer M Johri
- Department of Medicine, Division of Cardiology, Queen's University, Kingston, Ontario, Canada
| | - Narendra N Khanna
- Department of Cardiology, Indraprastha APOLLO Hospitals, New Delhi, India
| | - Sophie Mavrogeni
- Cardiology Clinic, Onassis Cardiac Surgery Center, Athens, Greece
| | - John R Laird
- Heart and Vascular Institute, Adventist Health St. Helena, St Helena, CA, USA
| | - Gyan Pareek
- Minimally Invasive Urology Institute, Brown University, Providence, Rhode Island, USA
| | - Martin Miner
- Men's Health Center, Miriam Hospital Providence, Rhode Island, USA
| | - Petros P Sfikakis
- Rheumatology Unit, National Kapodistrian University of Athens, Greece
| | - Athanasios Protogerou
- Department of Cardiovascular Prevention, National and Kapodistrian University of Athens, Athens, Greece
| | - Durga P Misra
- Department of Clinical Immunology and Rheumatology, SGPGIMS, Lucknow, India
| | - Vikas Agarwal
- Department of Clinical Immunology and Rheumatology, SGPGIMS, Lucknow, India
| | - Aditya M Sharma
- Division of Cardiovascular Medicine, University of Virginia, VA, USA
| | - Vijay Viswanathan
- MV Hospital for Diabetes & Professor M Viswanathan Diabetes Research Centre, Chennai, India
| | - Vijay S Rathore
- Nephrology Department, Kaiser Permanente, Sacramento, CA, USA
| | - Monika Turk
- The Hanse-Wissenschaftskolleg Institute for Advanced Study, Delmenhorst, Germany
| | | | | | | | - George D Kitas
- R & D Academic Affairs, Dudley Group NHS Foundation Trust, Dudley, UK
| | - Neeraj Sharma
- Department of Biomedical Engineering, IIT-BHU, Banaras, UP, India
| | - Andrew Nicolaides
- Vascular Screening and Diagnostic Centre, University of Nicosia, Nicosia, Cyprus
| | - Jasjit S Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, USA
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8
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Cao X, Tang Y, Pan L, Yang J, Wu Y, Geng D, Zhang J. Assessment of carotid atherosclerotic plaque using 3D motion-sensitized driven-equilibrium prepared rapid gradient echo: a comparative study. Quant Imaging Med Surg 2021; 11:2744-2755. [PMID: 34079738 DOI: 10.21037/qims-20-869] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Background 3D motion-sensitized driven-equilibrium prepared rapid gradient echo (MERGE) can characterize carotid atherosclerotic plaque morphology and composition. The present study aimed to evaluate its performance by comparing it with reference images and assessing the inter-reader agreement. Methods Eighty-four patients were prospectively recruited and scanned with 3D MERGE. Two trained magnetic resonance imaging (MRI) readers measured and calculated the maximum wall thickness (WT), maximum vessel diameter, total vessel area, lumen area, wall area, normalized wall index, plaque volume, intraplaque hemorrhage (IPH) volume, and calcification volume independently. IPH, calcification, mixed calcification, and ulceration were identified. The intraclass correlation coefficient (ICC) with 95% confidence interval (CI) was used to assess the inter-reader agreement. MERGE performance was assessed in terms of sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, kappa value (κ), and the results of the Bland-Altman analysis and compared with reference images. Results MERGE showed excellent inter-reader agreement (All ICCs >0.90). MERGE and simultaneous non-contrast angiography and intraplaque hemorrhage (SNAP) showed excellent agreement in detecting IPH (κ=0.938) and measuring IPH volume (ICC =0.995; 95% CI: 0.991-0.997). MERGE and computed tomography angiography (CTA) showed strong consistency in detecting calcification (κ=0.814) and mixed calcification (κ=0.972), and in measuring calcification volume (ICC =0.996; 95% CI: 0.993-0.997). MERGE and digital subtraction angiography (DSA) showed relatively strong consistency in identifying ulceration (κ=0.737). Conclusions MERGE showed excellent performance in identifying and measuring IPH and calcification in carotid atherosclerotic plaques. Therefore, MERGE can be a promising imaging approach in atherosclerotic-vulnerable plaque.
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Affiliation(s)
- Xin Cao
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.,Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
| | - Ye Tang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Lei Pan
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Jinming Yang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yifan Wu
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.,Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
| | - Daoying Geng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.,Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
| | - Jun Zhang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.,Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
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Murkamilov I, Sabirov I, Fomin V, Kudaibergenova I, Yusupov F, Schastlivenko A, Murkamilova Z. Cerebrovascular complications in patients with malignant neoplasms. Zh Nevrol Psikhiatr Im S S Korsakova 2021; 121:128-133. [DOI: 10.17116/jnevro2021121121128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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10
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Yuan C, Miller Z, Zhao XQ. Magnetic Resonance Imaging: Cardiovascular Applications for Clinical Trials. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00059-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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11
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Li Z, Wang Y, Wu X, Liu X, Huang S, He Y, Liu S, Ren L. Studying the Factors of Human Carotid Atherosclerotic Plaque Rupture, by Calculating Stress/Strain in the Plaque, Based on CEUS Images: A Numerical Study. Front Neuroinform 2020; 14:596340. [PMID: 33324188 PMCID: PMC7721669 DOI: 10.3389/fninf.2020.596340] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 09/11/2020] [Indexed: 01/08/2023] Open
Abstract
Carotid plaque neovascularization is one of the major factors for the classification of vulnerable plaque, but the axial force effects of the pulsatile blood flow on the plaque with neovessel and intraplaque hemorrhage was unclear. Together with the severity of stenosis, the fibrous cap thickness, large lipid core, and the neovascularization followed by intraplaque hemorrhage (IPH) have been regarded as high-risk features of plaque rupture. In this work, the effects of these factors were evaluated on the progression and rupture of the carotid atherosclerotic plaques. Five geometries of carotid artery plaque were developed based on contrast-enhanced ultrasound (CEUS) images, which contain two types of neovessel and IPH, and geometry without neovessel and IPH. A one-way fluid-structure interaction model was applied to compute the maximum principal stress and strain in the plaque. For that hyper-elastic and non-linear material, Yeoh 3rd Order strain energy density function was used for components of the plaque. The simulation results indicated that the maximum principal stress of plaque in the carotid artery was higher when the degree of the luminal stenosis increased and the thickness of the fibrous cap decreased. The neovessels within the plaque could introduce a 2.5% increments of deformation in the plaque under the pulsatile blood flow pressure. The IPH also contributed to the increased risk of plaque rupture that a gain of stress was 8.983, 14.526, and 34.47 kPa for the plaque with 50, 65, and 75%, respectively, when comparing stress in the plaque with IPH distributed at the middle to the shoulder of the plaque. In conclusion, neovascularization in the plaque could reduce the stability of the plaque by increasing the stress within the plaque. Also, the risk of plaque rupture increased when large luminal stenosis, thin fibrous cap, and IPH were observed.
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Affiliation(s)
- Zhenzhou Li
- Department of Ultrasound, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Yongfeng Wang
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Xinyin Wu
- Department of Ultrasound, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Xin Liu
- Guangdong Academy Research on Virtual Reality (VR) Industry, Foshan University, Foshan, China
| | - Shanshan Huang
- Department of Ultrasound, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Yi He
- Department of Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Shuyu Liu
- School of Pharmacy, Sun Yat-sen University, Guangzhou, China
| | - Lijie Ren
- Department of Neurology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China
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12
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Zhang J, Ding S, Zhao H, Sun B, Li X, Zhou Y, Wan J, Degnan AJ, Xu J, Zhu C. Evaluation of chronic carotid artery occlusion by non-contrast 3D-MERGE MR vessel wall imaging: comparison with 3D-TOF-MRA, contrast-enhanced MRA, and DSA. Eur Radiol 2020; 30:5805-5814. [PMID: 32529567 DOI: 10.1007/s00330-020-06989-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 04/17/2020] [Accepted: 05/27/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To analyze the accuracy of a non-contrast MR vessel wall imaging technique, three-dimensional motion-sensitized driven equilibrium prepared rapid gradient echo (3D-MERGE) for diagnosing chronic carotid artery occlusion (CCAO) characteristics compared with 3D time-of-flight (TOF) MRA, and contrast-enhanced MRA (CE-MRA), using digital subtraction angiography (DSA) as a reference standard. METHODS Subjects diagnosed with possible CCAO by ultrasound were retrospectively analyzed. Patients underwent 3.0-T MR imaging with 3D-MERGE, 3D-TOF-MRA, and CE-MRA followed by DSA within 1 week. Diagnostic accuracy of occlusion, occlusion site, and proximal stump condition were assessed independently on 3 MRI sequences and DSA. Agreement of the above indicators was evaluated in reference to DSA. RESULTS One hundred twenty-four patients with 129 suspected CCAO (5 with bilateral occlusions) met the inclusion criteria for our study. 3D-MERGE demonstrated a sensitivity, specificity, and accuracy of 97.0%, 86.7%, and 94.6%, respectively, with excellent agreement (Cohen's κ = 0.85; 95% CI, 0.71, 0.94) for diagnosing CCAO in reference to DSA. 3D-MERGE was superior in diagnosing CCAO compared with 3D-TOF-MRA (Cohen's κ = 0.61; 95% CI, 0.42, 0.77) and similar to CE-MRA (Cohen's κ = 0.93; 95% CI, 0.86, 1.00). 3D-MERGE also had excellent agreement compared with DSA for assessing occlusion sites (Cohen's κ = 0.85; 95% CI, 0.71, 0.97) and stump condition (Cohen's κ = 0.83; 95% CI, 0.71, 0.94). Moreover, 3D-MERGE provided additional information regarding the occluded segment, such as distal lumen collapse and vessel wall lesion components. CONCLUSION 3D-MERGE can reliably assess chronic carotid occlusive characteristics and has the ability to identify other vessel wall features of the occluded segment. This non-contrast MR vessel wall imaging technique is promising for assessment of CCAO. KEY POINTS • Excellent agreement was found between 3D-MERGE and DSA for assessing chronic carotid artery occlusion, occlusion site, and proximal stump condition. • 3D-MERGE was shown to be a more accurate and efficient tool than 3D-TOF-MRA to detect the characteristics of the occluded segment. • 3D-MERGE provides not only luminal images for characterizing the proximal characteristics of occlusion but also vessel wall images for assessing the distal lumen and morphology of occlusion segment, which might help clinicians to optimize the treatment strategy for patients with chronic carotid artery occlusion.
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Affiliation(s)
- Jin Zhang
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Shenghao Ding
- Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Huilin Zhao
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
| | - Beibei Sun
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Xiao Li
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Yan Zhou
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Jieqing Wan
- Department of Neurosurgery, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Andrew J Degnan
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.,American Institute for Radiologic Pathology, Silver Spring, MD, USA.,Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jianrong Xu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, WA, USA
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