1
|
Marko M, Singh N, Ospel JM, Uchida K, Almekhlafi MA, Demchuk AM, Nogueira RG, McTaggart RA, Poppe AY, Rempel JL, Tymianski M, Hill MD, Goyal M, Menon BK. Symptomatic Non-stenotic Carotid Disease in Embolic Stroke of Undetermined Source : Analysis of the ESCAPE-NA1 Trial. Clin Neuroradiol 2024; 34:333-339. [PMID: 38108829 PMCID: PMC11130033 DOI: 10.1007/s00062-023-01365-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 11/09/2023] [Indexed: 12/19/2023]
Abstract
PURPOSE Non-stenotic (< 50%) carotid disease may play an important etiological role in ischemic stroke classified as embolic stroke of undetermined source (ESUS). We aimed to assess the prevalence of non-stenotic carotid disease and its association with ipsilateral ischemic stroke. METHODS Data are from ESCAPE-NA1, a randomized controlled trial investigating the neuroprotectant nerinetide in patients with acute ischemic stroke and large vessel occlusion (LVO). The degree of stenosis of the extracranial internal carotid artery (ICA) and high-risk plaque features were assessed on baseline computed tomography (CT) angiography. We evaluated the association of non-stenotic carotid disease and ipsilateral stroke by age-adjusted and sex-adjusted logistic regression and calculated the attributable risk of ipsilateral stroke caused by non-stenotic carotid disease. RESULTS After excluding patients with non-assessable imaging, symptomatic > 50% carotid stenosis and extracranial dissection, 799/1105 (72.1%) patients enrolled in ESCAPE-NA1 remained for this analysis. Of these, 127 (15.9%) were classified as ESUS. Non-stenotic carotid disease occurred in 34/127 ESUS patients (26.8%) and was associated with the presence of ipsilateral ischemic stroke (odds ratio, OR 1.6, 95% confidence interval, CI 1.0-2.6, p = 0.049). The risk of ipsilateral ischemic stroke attributable to non-stenotic carotid disease in ESUS was estimated to be 19.7% (95% CI -5.7% to 39%), the population attributable risk was calculated as 4.3%. Imaging features such as plaque thickness, plaque irregularity or plaque ulceration were not different between non-stenotic carotids with vs. without ipsilateral stroke. CONCLUSION Non-stenotic carotid disease frequently occurs in patients classified as ESUS and is associated with ipsilateral ischemic stroke. Our findings support the role of non-stenotic carotid disease as stroke etiology in ESUS, but further prospective research is needed to prove a causal relationship.
Collapse
Affiliation(s)
- Martha Marko
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
| | - Nishita Singh
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Johanna M Ospel
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Diagnostic Imaging, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Kazutaka Uchida
- Department of Neurosurgery, Hyogo Medical University, Nishinomiya, Japan
| | - Mohammed A Almekhlafi
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Diagnostic Imaging, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Andrew M Demchuk
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Diagnostic Imaging, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Raul G Nogueira
- Emory University School of Medicine, Grady Memorial Hospital, Atlanta, USA
| | - Ryan A McTaggart
- Warren Alpert School of Medicine, Brown University, Providence, RI, USA
| | - Alexandre Y Poppe
- Department of Medicine (Neurology), Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada
| | | | | | - Michael D Hill
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Diagnostic Imaging, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Mayank Goyal
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Diagnostic Imaging, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Bijoy K Menon
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Diagnostic Imaging, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| |
Collapse
|
2
|
Wu J, Xin J, Yang X, Matkovic LA, Zhao X, Zheng N, Li R. Segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black blood magnetic resonance imaging with multi-task learning. Med Phys 2024; 51:1775-1797. [PMID: 37681965 DOI: 10.1002/mp.16728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 07/04/2023] [Accepted: 07/29/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Atherosclerotic cardiovascular disease is the leading cause of death worldwide. Early detection of carotid atherosclerosis can prevent the progression of cardiovascular disease. Many (semi-) automatic methods have been designed for the segmentation of carotid vessel wall and the diagnosis of carotid atherosclerosis (i.e., the lumen segmentation, the outer wall segmentation, and the carotid atherosclerosis diagnosis) on black blood magnetic resonance imaging (BB-MRI). However, most of these methods ignore the intrinsic correlation among different tasks on BB-MRI, leading to limited performance. PURPOSE Thus, we model the intrinsic correlation among the lumen segmentation, the outer wall segmentation, and the carotid atherosclerosis diagnosis tasks on BB-MRI by using the multi-task learning technique and propose a gated multi-task network (GMT-Net) to perform three related tasks in a neural network (i.e., carotid artery lumen segmentation, outer wall segmentation, and carotid atherosclerosis diagnosis). METHODS In the proposed method, the GMT-Net is composed of three modules, including the sharing module, the segmentation module, and the diagnosis module, which interact with each other to achieve better learning performance. At the same time, two new adaptive layers, namely, the gated exchange layer and the gated fusion layer, are presented to exchange and merge branch features. RESULTS The proposed method is applied to the CAREII dataset (i.e., 1057 scans) for the lumen segmentation, the outer wall segmentation, and the carotid atherosclerosis diagnosis. The proposed method can achieve promising segmentation performances (0.9677 Dice for the lumen and 0.9669 Dice for the outer wall) and better diagnosis accuracy of carotid atherosclerosis (0.9516 AUC and 0.9024 Accuracy) in the "CAREII test" dataset (i.e., 106 scans). The results show that the proposed method has statistically significant accuracy and efficiency. CONCLUSIONS Even without the intervention of reviewers required for the previous works, the proposed method automatically segments the lumen and outer wall together and diagnoses carotid atherosclerosis with high performance. The proposed method can be used in clinical trials to help radiologists get rid of tedious reading tasks, such as screening review to separate normal carotid arteries from atherosclerotic arteries and to outline vessel wall contours.
Collapse
Affiliation(s)
- Jiayi Wu
- National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University
| | - Jingmin Xin
- National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University
| | - Xiaofeng Yang
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA
| | - Luke A Matkovic
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Nanning Zheng
- National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University
| | - Rui Li
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| |
Collapse
|
3
|
Saba L, Cau R, Murgia A, Nicolaides AN, Wintermark M, Castillo M, Staub D, Kakkos SK, Yang Q, Paraskevas KI, Yuan C, Edjlali M, Sanfilippo R, Hendrikse J, Johansson E, Mossa-Basha M, Balu N, Dichgans M, Saloner D, Bos D, Jager HR, Naylor R, Faa G, Suri JS, Costello J, Auer DP, Mcnally JS, Bonati LH, Nardi V, van der Lugt A, Griffin M, Wasserman BA, Kooi ME, Gillard J, Lanzino G, Mikhailidis DP, Mandell DM, Benson JC, van Dam-Nolen DHK, Kopczak A, Song JW, Gupta A, DeMarco JK, Chaturvedi S, Virmani R, Hatsukami TS, Brown M, Moody AR, Libby P, Schindler A, Saam T. Carotid Plaque-RADS: A Novel Stroke Risk Classification System. JACC Cardiovasc Imaging 2024; 17:62-75. [PMID: 37823860 DOI: 10.1016/j.jcmg.2023.09.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/06/2023] [Accepted: 09/12/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Carotid artery atherosclerosis is highly prevalent in the general population and is a well-established risk factor for acute ischemic stroke. Although the morphological characteristics of vulnerable plaques are well recognized, there is a lack of consensus in reporting and interpreting carotid plaque features. OBJECTIVES The aim of this paper is to establish a consistent and comprehensive approach for imaging and reporting carotid plaque by introducing the Plaque-RADS (Reporting and Data System) score. METHODS A panel of experts recognized the necessity to develop a classification system for carotid plaque and its defining characteristics. Using a multimodality analysis approach, the Plaque-RADS categories were established through consensus, drawing on existing published reports. RESULTS The authors present a universal classification that is applicable to both researchers and clinicians. The Plaque-RADS score offers a morphological assessment in addition to the prevailing quantitative parameter of "stenosis." The Plaque-RADS score spans from grade 1 (indicating complete absence of plaque) to grade 4 (representing complicated plaque). Accompanying visual examples are included to facilitate a clear understanding of the Plaque-RADS categories. CONCLUSIONS Plaque-RADS is a standardized and reliable system of reporting carotid plaque composition and morphology via different imaging modalities, such as ultrasound, computed tomography, and magnetic resonance imaging. This scoring system has the potential to help in the precise identification of patients who may benefit from exclusive medical intervention and those who require alternative treatments, thereby enhancing patient care. A standardized lexicon and structured reporting promise to enhance communication between radiologists, referring clinicians, and scientists.
Collapse
Affiliation(s)
- Luca Saba
- Department of Radiology, University of Cagliari, Cagliari, Italy.
| | - Riccardo Cau
- Department of Radiology, University of Cagliari, Cagliari, Italy
| | | | - Andrew N Nicolaides
- Vascular Screening and Diagnostic Centre, Nicosia, Cyprus; University of Nicosia Medical School, Nicosia, Cyprus; Department of Vascular Surgery, Imperial College, London, United Kingdom
| | - Max Wintermark
- Department of Neuroradiology, The University of Texas MD Anderson Center, Houston, Texas, USA
| | - Mauricio Castillo
- Department of Radiology, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Daniel Staub
- Vascular Medicine/Angiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stavros K Kakkos
- Department of Vascular Surgery, University of Patras Medical School, Patras, Greece
| | - Qi Yang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | | | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Myriam Edjlali
- Multimodal Biomedical Imaging Laboratory (BioMaps), Paris-Saclay University, CEA, CNRS, Inserm, Frédéric Joliot Hospital Department, Orsay, France; Department of Radiology, APHP, Paris, France
| | | | | | - Elias Johansson
- Clinical Science, Umeå University, Neurosciences, Umeå, Sweden
| | - Mahmud Mossa-Basha
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Niranjan Balu
- Department of Surgery, University of Washington, Seattle, WA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, California, USA
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands; Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium; Department of Clinical Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - H Rolf Jager
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, United Kingdom
| | - Ross Naylor
- The Leicester Vascular Institute, Glenfield Hospital, Leicester, United Kingdom
| | - Gavino Faa
- Department of Pathology, University of Cagliari, Cagliari, Italy
| | - Jasjit S Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoin, Roseville, California, USA
| | - Justin Costello
- Department of Neuroradiology, Walter Reed National Military Medical Center and Uniformed Services University of Health Sciences, Bethesda, Maryland, USA
| | - Dorothee P Auer
- Radiological Sciences, Division of Clinical Neuroscience, and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom
| | - J Scott Mcnally
- Department of Radiology, University of Utah, Salt Lake City, Utah, USA
| | - Leo H Bonati
- Department of Neurology and Stroke Center, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Valentina Nardi
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, Minnesota, USA
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Maura Griffin
- Vascular Screening and Diagnostic Centre, Nicosia, Cyprus
| | - Bruce A Wasserman
- Department of Radiology, University of Maryland School of Medicine and Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands
| | | | - Giuseppe Lanzino
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Dimitri P Mikhailidis
- Department of Clinical Biochemistry, Royal Free Hospital Campus, University College London School, University College London, London, United Kingdom
| | - Daniel M Mandell
- Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada
| | - John C Benson
- Department of Radiology Mayo Clinic, Rochester, Minnesota, USA
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC Rotterdam, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Anna Kopczak
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Jae W Song
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ajay Gupta
- Department of Radiology Weill Cornell Medical College, New York, New York, USA
| | - J Kevin DeMarco
- Walter Reed National Military Medical Center and Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Seemant Chaturvedi
- Department of Neurology, University of Maryland Medical Center, Baltimore, Maryland, USA
| | - Renu Virmani
- Department of Cardiovascular Pathology, CVPath Institute, Gaithersburg, Maryland, USA
| | | | - Martin Brown
- Department of Neurology and Neurosurgery, University College London Hospitals, London, United Kingdom
| | - Alan R Moody
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Andreas Schindler
- Institute of Neuroradiology, University Hospital, LMU Munich, Munich, Germany
| | - Tobias Saam
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany; Die Radiologie, Rosenheim, Germany
| |
Collapse
|
4
|
Good E, Bilos L, Dyverfeldt P. Editorial for "Investigating the Association of Carotid Atherosclerotic Plaque MRI Features and Silent Stroke After Carotid Endarterectomy". J Magn Reson Imaging 2023. [PMID: 38018903 DOI: 10.1002/jmri.29116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 08/11/2023] [Indexed: 11/30/2023] Open
Affiliation(s)
- Elin Good
- Department of Cardiology in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Linda Bilos
- Department of Cardiothoracic and Vascular Surgery in Linköping, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Petter Dyverfeldt
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
- Unit of Cardiovascular Sciences, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| |
Collapse
|
5
|
Badescu MC, Badulescu OV, Costache AD, Mitu O, Lupu VV, Dmour BA, Lupu A, Foia LG, Costache II, Rezus C. Atherosclerosis in Patients with Congenital Hemophilia: A Focus on Peripheral Artery Disease. Life (Basel) 2023; 13:2221. [PMID: 38004361 PMCID: PMC10672485 DOI: 10.3390/life13112221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 11/15/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023] Open
Abstract
Advances in the treatment of hemophilia have increased the life expectancy of this population and we are currently facing diseases associated with aging, including cardiovascular ones. Coronary atherosclerosis, with acute myocardial infarction as the most severe form of manifestation, has been recognized as part of the comorbidities of hemophiliacs. However, little is known about peripheral artery disease. Available data show that hemophiliacs have cardiovascular risk factors and atherosclerosis similar to the general population. Impaired thrombus formation and phenotype of atheroma plaque rather than the burden of atherosclerosis explains their lower cardiovascular mortality. Since the effect of traditional cardiovascular risk factors overpowers that of decreased coagulability and promotes the onset and progression of atherosclerotic lesions, screening for traditional cardiovascular risk factors and peripheral artery disease should be integrated into standard hemophilia care. There is evidence that invasive treatments and long-term antithrombotic therapy are generally safe, provided that coagulation factor levels are taken into account and replacement therapy is given when necessary.
Collapse
Affiliation(s)
- Minerva Codruta Badescu
- Department of Internal Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania; (M.C.B.); (O.M.); (B.-A.D.); (I.-I.C.); (C.R.)
- III Internal Medicine Clinic, “St. Spiridon” County Emergency Clinical Hospital, 1 Independence Boulevard, 700111 Iasi, Romania
| | - Oana Viola Badulescu
- Department of Pathophysiology, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania
- Hematology Clinic, “St. Spiridon” County Emergency Clinical Hospital, 1 Independence Boulevard, 700111 Iasi, Romania
| | - Alexandru Dan Costache
- Department of Internal Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania; (M.C.B.); (O.M.); (B.-A.D.); (I.-I.C.); (C.R.)
- Cardiovascular Rehabilitation Clinic, Clinical Rehabilitation Hospital, 700661 Iasi, Romania
| | - Ovidiu Mitu
- Department of Internal Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania; (M.C.B.); (O.M.); (B.-A.D.); (I.-I.C.); (C.R.)
- Cardiology Clinic, “St. Spiridon” County Emergency Clinical Hospital, 1 Independence Boulevard, 700111 Iasi, Romania
| | - Vasile Valeriu Lupu
- Pediatrics Department, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania (A.L.)
| | - Bianca-Ana Dmour
- Department of Internal Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania; (M.C.B.); (O.M.); (B.-A.D.); (I.-I.C.); (C.R.)
| | - Ancuta Lupu
- Pediatrics Department, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania (A.L.)
| | - Liliana Georgeta Foia
- Department of Biochemistry, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania;
| | - Irina-Iuliana Costache
- Department of Internal Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania; (M.C.B.); (O.M.); (B.-A.D.); (I.-I.C.); (C.R.)
- Cardiology Clinic, “St. Spiridon” County Emergency Clinical Hospital, 1 Independence Boulevard, 700111 Iasi, Romania
| | - Ciprian Rezus
- Department of Internal Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 16 University Street, 700115 Iasi, Romania; (M.C.B.); (O.M.); (B.-A.D.); (I.-I.C.); (C.R.)
- III Internal Medicine Clinic, “St. Spiridon” County Emergency Clinical Hospital, 1 Independence Boulevard, 700111 Iasi, Romania
| |
Collapse
|
6
|
Onishi S, Ohba S, Isobe N, Ito Y, Takano M, Maeda Y, Horie N. T1-T2 Mismatch Sign as a Predictor of Ipsilateral Ischemic Change After Carotid Artery Stenting. World Neurosurg 2023; 179:e450-e457. [PMID: 37660840 DOI: 10.1016/j.wneu.2023.08.117] [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: 03/08/2023] [Revised: 08/26/2023] [Accepted: 08/28/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Magnetic resonance (MR)-plaque imaging reflects the characteristics of carotid plaque. We evaluated the relationship between MR-plaque images and ischemic change after carotid artery stenting (CAS). METHODS MR-plaque images were acquired from patients with carotid artery stenosis before CAS treatment. We calculated the relative signal intensity of plaque components compared with that of the sternocleidomastoid muscle and evaluated the presence/absence of T1-T2 mismatch and match sign. We then assessed the appearance of new ischemic lesions after CAS on diffusion-weighted imaging (DWI). Factors associated with the appearance of a high-intensity lesion on DWI were retrospectively analyzed. RESULTS A total of 64 patients with carotid artery stenoses treated with CAS were included in this study. In univariate analysis, T1-T2 mismatch sign was associated with the appearance of high-intensity lesions on DWI after CAS (odds ratio [OR], 12.00; 95% confidence interval [CI], 3.593-40.072; P < 0.0001), whereas T1-T2 match sign and high intensity on T2-weighted imaging were negatively associated (OR, 0.061, 95% CI, 0.007-0.502, P = 0.009 and OR, 0.085; 95% CI, 0.022-0.334, P = 0.0004, respectively). In multivariate logistic regression analysis, T1-T2 mismatch sign was independently associated with the appearance of a high-intensity lesion on DWI after CAS (OR, 16.695; 95% CI, 1.324-210.52; P = 0.0295). CONCLUSIONS T1-T2 mismatch sign on MR-plaque imaging is significantly associated with the appearance of new ischemic lesions after CAS. T1-T2 mismatch sign may be useful in considering treatment strategies for carotid artery stenosis.
Collapse
Affiliation(s)
- Shumpei Onishi
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan; Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
| | - Shinji Ohba
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
| | - Naoyuki Isobe
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
| | - Yoko Ito
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
| | - Motoki Takano
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
| | - Yugo Maeda
- Department of Neurosurgery, National Hospital Organization Kure Medical Center and Chugoku Cancer Center, Hiroshima, Japan
| | - Nobutaka Horie
- Department of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| |
Collapse
|
7
|
Blind spectral unmixing for characterization of plaque composition based on multispectral photoacoustic imaging. Sci Rep 2023; 13:4119. [PMID: 36914717 PMCID: PMC10011570 DOI: 10.1038/s41598-023-31343-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 03/10/2023] [Indexed: 03/16/2023] Open
Abstract
To improve the assessment of carotid plaque vulnerability, a comprehensive characterization of their composition is paramount. Multispectral photoacoustic imaging (MSPAI) can provide plaque composition based on their absorption spectra. However, although various spectral unmixing methods have been developed to characterize different tissue constituents, plaque analysis remains a challenge since its composition is highly complex and diverse. In this study, we employed an adapted piecewise convex multiple-model endmember detection method to identify carotid plaque constituents. Additionally, we explore the selection of the imaging wavelengths in linear models by conditioning the coefficient matrix and its synergy with our unmixing approach. We verified our method using plaque mimicking phantoms and performed ex-vivo MSPAI on carotid endarterectomy samples in a spectral range from 500 to 1300 nm to identify the main spectral features of plaque materials for vulnerability assessment. After imaging, the samples were processed for histological analysis to validate the photoacoustic decomposition. Results show that our approach can perform spectral unmixing and classification of highly heterogeneous biological samples without requiring an extensive fluence correction, enabling the identification of relevant components to assess plaque vulnerability.
Collapse
|
8
|
Lin A. Artificial intelligence for high-risk plaque detection on carotid CT angiography. Atherosclerosis 2023; 366:40-41. [PMID: 36682983 DOI: 10.1016/j.atherosclerosis.2023.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 12/26/2022] [Accepted: 01/11/2023] [Indexed: 01/15/2023]
Affiliation(s)
- Andrew Lin
- Monash Victorian Heart Institute, Monash University and MonashHeart, Monash Health, Melbourne, Victoria, Australia; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
| |
Collapse
|
9
|
Saba L, Loewe C, Weikert T, Williams MC, Galea N, Budde RPJ, Vliegenthart R, Velthuis BK, Francone M, Bremerich J, Natale L, Nikolaou K, Dacher JN, Peebles C, Caobelli F, Redheuil A, Dewey M, Kreitner KF, Salgado R. State-of-the-art CT and MR imaging and assessment of atherosclerotic carotid artery disease: standardization of scanning protocols and measurements-a consensus document by the European Society of Cardiovascular Radiology (ESCR). Eur Radiol 2023; 33:1063-1087. [PMID: 36194267 PMCID: PMC9889495 DOI: 10.1007/s00330-022-09024-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 06/26/2022] [Accepted: 06/30/2022] [Indexed: 02/04/2023]
Abstract
The European Society of Cardiovascular Radiology (ESCR) is the European specialist society of cardiac and vascular imaging. This society's highest priority is the continuous improvement, development, and standardization of education, training, and best medical practice, based on experience and evidence. The present intra-society consensus is based on the existing scientific evidence and on the individual experience of the members of the ESCR writing group on carotid diseases, the members of the ESCR guidelines committee, and the members of the executive committee of the ESCR. The recommendations published herein reflect the evidence-based society opinion of ESCR. We have produced a twin-papers consensus, indicated through the documents as respectively "Part I" and "Part II." The first document (Part I) begins with a discussion of features, role, indications, and evidence for CT and MR imaging-based diagnosis of carotid artery disease for risk stratification and prediction of stroke (Section I). It then provides an extensive overview and insight into imaging-derived biomarkers and their potential use in risk stratification (Section II). Finally, detailed recommendations about optimized imaging technique and imaging strategies are summarized (Section III). The second part of this consensus paper (Part II) is focused on structured reporting of carotid imaging studies with CT/MR. KEY POINTS: • CT and MR imaging-based evaluation of carotid artery disease provides essential information for risk stratification and prediction of stroke. • Imaging-derived biomarkers and their potential use in risk stratification are evolving; their correct interpretation and use in clinical practice must be well-understood. • A correct imaging strategy and scan protocol will produce the best possible results for disease evaluation.
Collapse
Affiliation(s)
- Luca Saba
- Department of Radiology, University of Cagliari, Cagliari, Italy
| | - Christian Loewe
- Division of Cardiovascular and Interventional Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Thomas Weikert
- Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Michelle C Williams
- BHF Centre for Cardiovascular Science, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, EH164SB, UK
- Edinburgh Imaging Facility QMRI, University of Edinburgh, Edinburgh, UK
| | - Nicola Galea
- Policlinico Umberto I, Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Ricardo P J Budde
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Rozemarijn Vliegenthart
- Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Birgitta K Velthuis
- Department of Radiology, Utrecht University Medical Center, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Marco Francone
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072, Milan, Italy
- IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089, Milan, Italy
| | - Jens Bremerich
- Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Luigi Natale
- Department of Radiological Sciences - Institute of Radiology, Catholic University of Rome, "A. Gemelli" University Hospital, Rome, Italy
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tübingen, Germany
| | - Jean-Nicolas Dacher
- Department of Radiology, Normandie University, UNIROUEN, INSERM U1096 - Rouen University Hospital, F 76000, Rouen, France
| | - Charles Peebles
- Department of Cardiothoracic Radiology, University Hospital Southampton, Southampton, UK
| | - Federico Caobelli
- University Clinic of Nuclear Medicine Inselspital Bern, University of Bern, Bern, Switzerland
| | - Alban Redheuil
- Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
- Department of Cardiovascular and Thoracic, Imaging and Interventional Radiology, Institute of Cardiology, APHP, Pitié-Salpêtrière University Hospital, Paris, France
- Laboratoire d'Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, INSERM 1146, CNRS 7371, Paris, France
| | - Marc Dewey
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Karl-Friedrich Kreitner
- Department of Diagnostic and Interventional Radiology, University Medical Center, Mainz; Langenbeckstraße 1, 55131, Mainz, Germany
| | - Rodrigo Salgado
- Department of Radiology, Antwerp University Hospital & Antwerp University, Holy Heart Lier, Belgium.
| |
Collapse
|
10
|
Cheng L, Zheng S, Zhang J, Wang F, Liu X, Zhang L, Chen Z, Cheng Y, Zhang W, Li Y, He W. Multimodal ultrasound-based carotid plaque risk biomarkers predict poor functional outcome in patients with ischemic stroke or TIA. BMC Neurol 2023; 23:13. [PMID: 36631804 PMCID: PMC9835263 DOI: 10.1186/s12883-023-03052-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 01/04/2023] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Carotid vulnerable plaque is an important risk factor for stroke occurrence and recurrence. However, the relationship between risk parameters related to carotid vulnerable plaque (plaque size, echogenicity, intraplaque neovascularization, and plaque stiffness) and neurological outcome after ischemic stroke or TIA is unclear. This study investigates the value of multimodal ultrasound-based carotid plaque risk biomarkers to predict poor short-term functional outcome after ischemic stroke or TIA. METHODS This study was a single-center, prospective, continuous, cohort study to observe the occurrence of adverse functional outcomes (mRS 2-6/3-6) 90 days after ischemic stroke or TIA in patients, where the exposure factors in this study were carotid plaque ultrasound risk biomarkers and the risk factors were sex, age, disease history, and medication history. Patients with ischemic stroke or TIA (mRS ≤3) whose ipsilateral internal carotid artery stenosis was ≥50% within 30 days were included. All patients underwent multimodal ultrasound at baseline, including conventional ultrasound, superb microvascular imaging (SMI), and shear wave elastography (SWE). Continuous variables were divided into four groups at interquartile spacing for inclusion in univariate and multifactorial analyses. After completion of a baseline ultrasound, all patients were followed up at 90 days after ultrasound, and patient modified neurological function scores (mRSs) were recorded. Multivariate Cox regression and ROC curves were used to assess the risk factors and predictive power for predicting poor neurological function. RESULTS SMI revealed that 20 (30.8%) patients showed extensive neovascularization in the carotid plaque, and 45 (69.2%) patients showed limited neovascularization in the carotid plaque. SWE imaging showed that the mean carotid plaque stiffness was 51.49 ± 18.34 kPa (23.19-111.39 kPa). After a mean follow-up of 90 ± 14 days, a total of 21 (32.3%) patients had a mRS of 2-6, and a total of 10 (15.4%) patients had a mRS of 3-6. Cox regression analysis showed that the level of intraplaque neovascularization and plaque stiffness were independent risk factors for a mRS of 2-6, and the level of intraplaque neovascularization was an independent risk factor for a mRS of 3-6. After correcting for confounders, the HR of intraplaque neovascularization level and plaque stiffness predicting a mRS 2-6 was 3.06 (95% CI 1.05-12.59, P = 0.041) and 0.51 (95% CI 0.31-0.83, P = 0.007), respectively; the HR of intraplaque neovascularization level predicting a mRS 3-6 was 6.11 (95% CI 1.19-31.45, P = 0.031). For ROC curve analysis, the mRSs for intraplaque neovascularization level, plaque stiffness, and combined application to predict 90-day neurological outcome ranged from 2 to 6, with AUCs of 0.73 (95% CI 0.59-0.87), 0.76 (95% CI 0.64-0.89) and 0.85 (95% CI 0.76-0.95), respectively. The mRSs for the intraplaque neovascularization level to predict 90-day neurological outcome ranged from 3 to 6, with AUCs of 0.79 (95% CI 0.63-0.95). CONCLUSION Intraplaque neovascularization level and plaque stiffness may be associated with an increased risk of poor short-term functional outcome after stroke in patients with recent anterior circulation ischemic stroke due to carotid atherosclerosis. The combined application of multiple parameters has efficacy in predicting poor short-term functional outcome after stroke.
Collapse
Affiliation(s)
- Linggang Cheng
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Shuai Zheng
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Jinghan Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Fumin Wang
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Xinyao Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Lin Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Zhiguang Chen
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Ye Cheng
- grid.410318.f0000 0004 0632 3409Guang’anmen Hospital, Chinese Academy of traditional Chinese Medicine, Beijing, China
| | - Wei Zhang
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Yi Li
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| | - Wen He
- grid.24696.3f0000 0004 0369 153XDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100160 China
| |
Collapse
|
11
|
Shen R, Tong X, Li D, Ning Z, Han H, Han Y, Yang D, Du C, Wang T, Cao J, Xu Y, Huo R, Qiao H, Zhao X. Slice-based and time-specific hemodynamic measurements discriminate carotid artery vulnerable atherosclerotic plaques. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 225:107050. [PMID: 35985150 DOI: 10.1016/j.cmpb.2022.107050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/28/2022] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVE Hemodynamic patterns play key roles in progression of carotid vulnerable plaques. However, most of previous studies utilized maximum or averaged value of hemodynamic measurements which is not an ideal representative of hemodynamic patterns. This study aimed to investigate the association of slice-based and time-specific hemodynamic measurements with carotid vulnerable plaque using magnetic resonance (MR) vessel wall imaging and histology. METHODS Thirty-two patients (mean age: 63.9±8.1 years; 25 males) with carotid atherosclerotic stenosis (≥50% stenosis) referred to carotid endarterectomy were recruited and underwent MR vessel wall imaging. Carotid plaque burden was evaluated on MR images and vulnerable plaque features including calcification, lipid-rich necrotic core, and intra-plaque hemorrhage (IPH) were identified by histology. The slice-based and time-specific hemodynamic measurements were extracted from computational fluid dynamics simulation of 3D carotid arterial model. Correlation coefficients between hemodynamic measurements and carotid plaque features were calculated and the logistic regressions with generalized estimating equation (GEE) were conducted. The value in discriminating carotid vulnerable plaque features was determined by receiver-operating-characteristic analysis. RESULTS Of 102 MR-histology matched slices from 32 patients, time-averaged wall shear stress (TAWSS) (r=0.263, p=0.008), oscillatory shear index (OSI) (r=-0.374, p<0.001), and peakWSS (r=0.232, p=0.019) were significantly associated with carotid IPH. The logistic regression with GEE revealed that peakWSS (OR, 1.206; 95% CI, 1.026-1.418; p, 0.023) and TAWSS (OR, 0.364, 95% CI, 0.138-0.959; p, 0.041) were significantly associated with presence of IPH after adjusting for age and BMI. In discriminating carotid IPH, the AUC of TAWSS, OSI, combined TAWSS with maximum wall thickness (MWT) and combined OSI with MWT was 0.656, 0.722, 0.761, and 0.764, respectively. CONCLUSIONS Slice-based and time-specific hemodynamic characteristics could effectively discriminate carotid IPH. Combination of hemodynamic measurements with carotid plaque burden might be a stronger indicator for carotid vulnerable plaque features than each measurement alone.
Collapse
Affiliation(s)
- Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Xinyu Tong
- Department of Biomedical Engineering, School of Life and Science, Beijing Institute of Technology, Beijing, China
| | - Dongye Li
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Yongjun Han
- Department of Radiology, Aerospace Center Hospital, Beijing, China
| | - Dandan Yang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Chenlin Du
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Tao Wang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China
| | - Jingli Cao
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yilan Xu
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Ran Huo
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
| |
Collapse
|
12
|
Qiao H, Yang Q, Huo R, Han H, Ning Z, Shen R, Song X, Chen H, Chen S, Zhao X. Reliability and Value of 3D Sequential QUantitative T 1 -T 2 -T 2 * MAppings (SQUMA) MR Multi-Parametric Imaging in Characterizing Carotid Artery Atherosclerosis. J Magn Reson Imaging 2022; 57:1376-1389. [PMID: 36173363 DOI: 10.1002/jmri.28445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND T1 , T2 , and T2 * mappings are seldom performed in a single examination, and their values in evaluating symptomatic atherosclerosis are lacking. PURPOSE To perform three-dimensional (3D) quantitative T1 , T2 , and T2 * mappings (SQUMA) multi-parametric imaging for carotid vessel wall and evaluate its reliability and value in assessing carotid atherosclerosis. STUDY TYPE Prospective. SUBJECTS Eight healthy subjects and 20 patients with symptomatic carotid atherosclerosis. FIELD STRENGTH/SEQUENCE 3 T, SQUMA imaging T1 -, T2 -, and T2 *-mapping, multi-contrast vessel wall imaging including T1 - and T2 -weighted, time-of-flight, and SNAP sequences. ASSESSMENT SQUMA was acquired in all subjects and multi-contrast images were acquired in healthy subjects. T1 , T2 , and T2 * values and lumen area (LA), wall area (WA), mean wall thickness (MeanWT), and normalized wall index (NWI) of carotid arteries were measured. SQUMA and multi-contrast measurements were compared in healthy subjects and differences in SQUMA measurements between healthy subjects and patients were assessed. The discriminative value of SQUMA measurements for symptomatic vessel was determined. STATISTICAL TESTS Paired t or Wilcoxon signed-rank test, independent t or Mann-Whitney U test, area under the receiver operating characteristic curve (AUC), intraclass correlation coefficients, and Bland-Altman plots. Statistically significant level, P < 0.05. RESULTS There were no significant differences in LA (P = 0.340), WA (P = 0.317), MeanWT (P = 0.088), and NWI (P = 0.091) of carotid arteries between SQUMA and multi-contrast vessel wall images. The values of T2 (50.9 ± 2.9 msec vs. 44.5 ± 4.2 msec), T2 * (28.2 ± 4.3 msec vs. 24.7 ± 2.6 msec), WA (23.7 ± 4.6 mm2 vs. 36.2 ± 7.7 mm2 ), MeanWT (0.99 ± 0.05 mm vs. 1.50 ± 0.28 mm), and NWI (40.7 ± 3.0% vs. 53.8 ± 5.4%) of carotid arteries in healthy subjects were significantly different from those in atherosclerotic patients. The combination of quantitative T1 , T2 , and T2 * values and MeanWT showed greatest AUC (0.81; 95% CI: 0.65-0.92) in discriminating symptomatic vessels. DATA CONCLUSION Carotid MR 3D quantitative multi-parametric imaging of SQUMA enables acquisition of T1 , T2 , and T2 * maps, reliably measuring carotid morphology and discriminating carotid symptomatic atherosclerosis. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
Collapse
Affiliation(s)
- Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China.,School of Medicine, Tsinghua University-Peking University Joint Center for Life Sciences, Beijing, China
| | - Qiansu Yang
- Center of Medicine Clinical Research, Department of Pharmacy, Medical Supplies Center of PLA General Hospital, Beijing, China
| | - Ran Huo
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Xiaowei Song
- Department of Neurology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| |
Collapse
|
13
|
Cilla S, Macchia G, Lenkowicz J, Tran EH, Pierro A, Petrella L, Fanelli M, Sardu C, Re A, Boldrini L, Indovina L, De Filippo CM, Caradonna E, Deodato F, Massetti M, Valentini V, Modugno P. CT angiography-based radiomics as a tool for carotid plaque characterization: a pilot study. Radiol Med 2022; 127:743-753. [DOI: 10.1007/s11547-022-01505-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/20/2022] [Indexed: 11/27/2022]
|
14
|
Hu F, Lu F, Xiao H, Dong M, Xu Y. Relationship Between Hypertension and Basilar Atherosclerosis in Chinese Han Population: A High-Resolution Magnetic Resonance Imaging Study. Front Cardiovasc Med 2022; 9:830664. [PMID: 35571152 PMCID: PMC9094699 DOI: 10.3389/fcvm.2022.830664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 03/29/2022] [Indexed: 11/28/2022] Open
Abstract
Objective To investigate the relationship between hypertension and basilar atherosclerosis evaluated by high-resolution magnetic resonance imaging (HR-MRI) in the Chinese Han population. Methods High resolution-MRI vessel wall imaging was performed in selected 193 patients for various indications. Multivariable logistic regression models based on odds ratio (OR) with their associated 95% confidence interval (CI) were used to assess the relationship between hypertension and basilar artery (BA) plaque, moderate or severe stenosis of BA plaque, and vulnerable plaque. A linear regression model was used to assess the relationship between hypertension and BA plaque numbers. Results Patients with hypertension had a higher proportion of BA plaque and vulnerable plaque as well as more number of enhancements of BA plaque and serious plaque compared with normotensive patients (all values of p < 0.05). Multivariable logistic regression analysis indicated that patients with hypertension had an increased risk for and more number of enhancements of BA plaque (adjusted-OR: 4.32, 95% CI 1.89–9.88, p < 0.001; adjusted-β: 0.55, 95% CI 0.14–0.96, p = 0.009, respectively) and had a higher proportion of moderate or severe stenosis of BA plaque and vulnerable plaque (adjusted-OR: 3.08, 95% CI 0.77–12.32, p = 0.111; adjusted-OR: 4.52, 95% CI 1.50–13.64, p = 0.007, respectively) compared with the normotensive group. Moreover, there was a saturation effect of age on the prevalence of BA plaque and vulnerable plaque. Conclusion Hypertension was the independent risk factor of BA plaque and vulnerable plaque assessed by HR-MRI in the Chinese Han population.
Collapse
Affiliation(s)
- Feng Hu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Feng Lu
- Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Huiling Xiao
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Meixue Dong
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yan Xu
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- *Correspondence: Yan Xu,
| |
Collapse
|
15
|
Takami Y, Norikane T, Yamamoto Y, Fujimoto K, Mitamura K, Okauchi M, Kawanishi M, Nishiyama Y. A preliminary study of relationship among the degree of internal carotid artery stenosis, wall shear stress on MR angiography and 18F-FDG uptake on PET/CT. J Nucl Cardiol 2022; 29:569-577. [PMID: 32743752 DOI: 10.1007/s12350-020-02300-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 07/18/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND This preliminary study was undertaken to evaluate relationship among the degree of internal carotid artery (ICA) stenosis, wall shear stress (WSS) by computational fluid dynamics (CFD) on magnetic resonance angiography (MRA) and 18F-FDG uptake of ICA on PET/CT. METHODS A total of 40 carotid arteries in 20 patients with carotid atherosclerotic disease were examined with MRA and 18F-FDG PET/CT. Atherosclerotic risk factors were assessed in all patients. Degree of ICA stenosis was calculated according to NASCET method. CFD analysis was performed and maximum WSS (WSSmax) was measured. 18F-FDG uptake in ICA was quantified using maximum target-to-blood pool ratio (TBRmax). RESULTS Atherosclerotic risk factors did not affect imaging findings. There were significant correlations between WSSmax and degree of ICA stenosis (ρ = .81, P < .001), WSSmax and TBRmax (ρ = .64, P < .001), and TBRmax and degree of ICA stenosis (ρ = .50, P = .001). CONCLUSIONS These preliminary results indicate that there may be significant correlations among the degree of ICA stenosis, WSSmax and TBRmax in patients with carotid artery stenosis.
Collapse
Affiliation(s)
- Yasukage Takami
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan.
| | - Takashi Norikane
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
| | - Yuka Yamamoto
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
| | - Kengo Fujimoto
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
| | - Katsuya Mitamura
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
| | - Masanobu Okauchi
- Department of Neurological Surgery, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Masahiko Kawanishi
- Department of Neurological Surgery, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Yoshihiro Nishiyama
- Department of Radiology, Faculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-cho, Kita-gun, Kagawa, 761-0793, Japan
| |
Collapse
|
16
|
Unbiased plasma proteomics discovery of biomarkers for improved detection of subclinical atherosclerosis. EBioMedicine 2022; 76:103874. [PMID: 35152150 PMCID: PMC8844841 DOI: 10.1016/j.ebiom.2022.103874] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 01/14/2022] [Accepted: 01/25/2022] [Indexed: 01/21/2023] Open
Abstract
Background Imaging of subclinical atherosclerosis improves cardiovascular risk prediction on top of traditional risk factors. However, cardiovascular imaging is not universally available. This work aims to identify circulating proteins that could predict subclinical atherosclerosis. Methods Hypothesis-free proteomics was used to analyze plasma from 444 subjects from PESA cohort study (222 with extensive atherosclerosis on imaging, and 222 matched controls) at two timepoints (three years apart) for discovery, and from 350 subjects from AWHS cohort study (175 subjects with extensive atherosclerosis on imaging and 175 matched controls) for external validation. A selected three-protein panel was further validated by immunoturbidimetry in the AWHS population and in 2999 subjects from ILERVAS cohort study. Findings PIGR, IGHA2, APOA, HPT and HEP2 were associated with subclinical atherosclerosis independently from traditional risk factors at both timepoints in the discovery and validation cohorts. Multivariate analysis rendered a potential three-protein biomarker panel, including IGHA2, APOA and HPT. Immunoturbidimetry confirmed the independent associations of these three proteins with subclinical atherosclerosis in AWHS and ILERVAS. A machine-learning model with these three proteins was able to predict subclinical atherosclerosis in ILERVAS (AUC [95%CI]:0.73 [0.70–0.74], p < 1 × 10−99), and also in the subpopulation of individuals with low cardiovascular risk according to FHS 10-year score (0.71 [0.69–0.73], p < 1 × 10−69). Interpretation Plasma levels of IGHA2, APOA and HPT are associated with subclinical atherosclerosis independently of traditional risk factors and offers potential to predict this disease. The panel could improve primary prevention strategies in areas where imaging is not available.
Collapse
|
17
|
Gimnich OA, Zil-E-Ali A, Brunner G. Imaging Approaches to the Diagnosis of Vascular Diseases. Curr Atheroscler Rep 2022; 24:85-96. [PMID: 35080717 DOI: 10.1007/s11883-022-00988-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/13/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW Vascular imaging is a complex field including numerous modalities and imaging markers. This review is focused on important and recent findings in atherosclerotic carotid artery plaque imaging with an emphasis on developments in magnetic resonance imaging (MRI) and computed tomography (CT). RECENT FINDINGS Recent evidence shows that carotid plaque characteristics and not only established measures of carotid plaque burden and stenosis are associated independently with cardiovascular outcomes. On carotid MRI, the presence of a lipid-rich necrotic core (LRNC) has been associated with incident cardiovascular disease (CVD) events independent of wall thickness, a traditional measure of plaque burden. On carotid MRI, intraplaque hemorrhage (IPH) presence has been identified as an independent predictor of stroke. The presence of a fissured carotid fibrous cap has been associated with contrast enhancement on CT angiography imaging. Carotid artery plaque characteristics have been associated with incident CVD events, and advanced plaque imaging techniques may gain additional prominence in the clinical treatment decision process.
Collapse
Affiliation(s)
- Olga A Gimnich
- Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Ahsan Zil-E-Ali
- Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Gerd Brunner
- Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, PA, USA.
| |
Collapse
|
18
|
Kafouris PP, Koutagiar IP, Georgakopoulos AT, Spyrou GM, Visvikis D, Anagnostopoulos CD. Fluorine-18 fluorodeoxyglucose positron emission tomography-based textural features for prediction of event prone carotid atherosclerotic plaques. J Nucl Cardiol 2021; 28:1861-1871. [PMID: 31823329 DOI: 10.1007/s12350-019-01943-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 10/13/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND Texture analysis has been increasingly used in the field of positron emission tomography (PET)/computed tomography (CT) imaging with Fluorine-18 fluorodeoxyglucose (18F-FDG), aiming at assessing tumor heterogeneity. The purpose of the present study is to examine the feasibility of performing texture analysis in carotid arteries, investigate the value of textural features as predictors of potential plaque vulnerability using as reference standards histological and immunohistochemical data and compare their performance with conventional uptake measurements. METHODS 67 different 18F-FDG PET-based textural features were extracted from carotid images of 21 patients with high-grade carotid stenosis undergoing endarterectomy. To identify the more reliable predictors, univariate logistic regression analysis was performed. The accuracy was satisfactory in case of an Area Under the Receiver Operating Characteristic (ROC) curve (AUC) ≥ 0.80. RESULTS First measure of information correlation (AUC = 0.87, P < 0.001), large zone low gray level emphasis (AUC = 0.87, P < 0.001), and normalized run length non-uniformity (AUC = 0.84, P < 0.001) were the most optimal textural features for identifying characteristics of plaque vulnerability based on histological analysis. Addition of textural features to target-to-background ratio (TBR) (AUC = 0.74, P = 0.031) resulted in an AUC = 0.92 (P < 0.001), however, this did not reach statistical significance (Pdiff = 0.09). Intensity histogram standard deviation (AUC = 0.87, P < 0.001) and joint variance (AUC = 0.81, P = 0.001) were the most efficient features for signal differential in relation to immunohistochemical findings and provided incremental value compared to TBR (Pdiff = 0.02). CONCLUSION Texture analysis can be applied in 18F-FDG PET carotid imaging providing valuable information for plaque characterization.
Collapse
Affiliation(s)
- Pavlos P Kafouris
- Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece
- Experimental Surgery, Clinical and Translational Research Centre, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Ephessiou St., 11527, Athens, Greece
| | - Iosif P Koutagiar
- First Department of Cardiology, Hippokration Hospital, Athens, Greece
| | - Alexandros T Georgakopoulos
- Experimental Surgery, Clinical and Translational Research Centre, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Ephessiou St., 11527, Athens, Greece
| | - George M Spyrou
- The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
| | | | - Constantinos D Anagnostopoulos
- Experimental Surgery, Clinical and Translational Research Centre, Biomedical Research Foundation of the Academy of Athens, 4 Soranou Ephessiou St., 11527, Athens, Greece.
| |
Collapse
|
19
|
Poredos P, Jezovnik MK. Preclinical carotid atherosclerosis as an indicator of polyvascular disease: a narrative review. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1204. [PMID: 34430645 PMCID: PMC8350699 DOI: 10.21037/atm-20-5570] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 06/29/2021] [Indexed: 12/15/2022]
Abstract
Carotid atherosclerotic lesions are correlated with atherosclerotic deterioration of the arterial wall in other vascular territories and with cardiovascular events. The detection of pre-symptomatic carotid lesions like intima-media thickness (IMT) and asymptomatic carotid plaques is possible by non-invasive ultrasound duplex scanning. Current measurement guidelines suggest an average measurement of IMT within 10 mm of the segment of the common carotid artery. The thickening of intima-media appears in a long subclinical period of atherosclerosis. Therefore, the determination of IMT has emerged as one of the methods for determining early structural deterioration of the arterial wall. A close interrelationship was shown between IMT and risk factors of atherosclerosis, their duration, and intensity. Different studies demonstrated that increased IMT is a powerful predictor of coronary, cerebrovascular, and peripheral arterial occlusive disease and their complication. A recent meta-analysis indicated a minimal improvement in the risk estimation of cardiovascular events after adding IMT to the Framingham Risk Score. These findings influenced the latest ACC/AHA guidelines which again recommend the use of carotid IMT measurement for individual risk assessment. The presence of atherosclerotic plaques indicates that the atherosclerotic process is already ongoing. The findings of different studies are equivocal that carotid plaques independently predict cardiovascular events and improve risk predictions for coronary artery disease when added to the Framingham Risk Score. However, besides the size of plaque and grade of stenosis, the structure of plaque calcification, vascularization, lipid core, and the surface of plaques are important indicators of related risks for cardiovascular events.
Collapse
Affiliation(s)
- Pavel Poredos
- Department of Vascular Disease, University Medical Centre Ljubljana, Ljubljana, Slovenia.,Department of Advanced Cardiopulmonary Therapies and Transplantation, The University of Texas Health Science Centre at Houston, Houston, TX, USA
| | - Mateja K Jezovnik
- Department of Advanced Cardiopulmonary Therapies and Transplantation, The University of Texas Health Science Centre at Houston, Houston, TX, USA
| |
Collapse
|
20
|
Anand SS, Tu JV, Desai D, Awadalla P, Robson P, Jacquemont S, Dummer T, Le N, Parker L, Poirier P, Teo K, Lear SA, Yusuf S, Tardif JC, Marcotte F, Busseuil D, Després JP, Black SE, Kirpalani A, Parraga G, Noseworthy MD, Dick A, Leipsic J, Kelton D, Vena J, Thomas M, Schulze KM, Larose E, Moody AR, Smith EE, Friedrich MG. Cardiovascular risk scoring and magnetic resonance imaging detected subclinical cerebrovascular disease. Eur Heart J Cardiovasc Imaging 2021; 21:692-700. [PMID: 31565735 PMCID: PMC7237958 DOI: 10.1093/ehjci/jez226] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 06/26/2019] [Accepted: 08/21/2019] [Indexed: 12/04/2022] Open
Abstract
Aims Cardiovascular risk factors are used for risk stratification in primary prevention. We sought to determine if simple cardiac risk scores are associated with magnetic resonance imaging (MRI)-detected subclinical cerebrovascular disease including carotid wall volume (CWV), carotid intraplaque haemorrhage (IPH), and silent brain infarction (SBI). Methods and results A total of 7594 adults with no history of cardiovascular disease (CVD) underwent risk factor assessment and a non-contrast enhanced MRI of the carotid arteries and brain using a standardized protocol in a population-based cohort recruited between 2014 and 2018. The non-lab-based INTERHEART risk score (IHRS) was calculated in all participants; the Framingham Risk Score was calculated in a subset who provided blood samples (n = 3889). The association between these risk scores and MRI measures of CWV, carotid IPH, and SBI was determined. The mean age of the cohort was 58 (8.9) years, 55% were women. Each 5-point increase (∼1 SD) in the IHRS was associated with a 9 mm3 increase in CWV, adjusted for sex (P < 0.0001), a 23% increase in IPH [95% confidence interval (CI) 9–38%], and a 32% (95% CI 20–45%) increase in SBI. These associations were consistent for lacunar and non-lacunar brain infarction. The Framingham Risk Score was also significantly associated with CWV, IPH, and SBI. CWV was additive and independent to the risk scores in its association with IPH and SBI. Conclusion Simple cardiovascular risk scores are significantly associated with the presence of MRI-detected subclinical cerebrovascular disease, including CWV, IPH, and SBI in an adult population without known clinical CVD.
Collapse
Affiliation(s)
- Sonia S Anand
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, 237 Barton St East, Hamilton, Ontario L8L 2X2, Canada.,Department of Medicine, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada
| | - Jack V Tu
- Department of Medicine, University of Toronto, ICES, Sunnybrook Schulich Heart Centre; 2075 Bayview Ave, Toronto, Ontario M4N 3M5, Canada
| | - Dipika Desai
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, 237 Barton St East, Hamilton, Ontario L8L 2X2, Canada
| | - Phillip Awadalla
- Department of Molecular Genetics, Ontario Institute for Cancer Research, University of Toronto, 661 University Avenue Suite 510, Toronto, Ontario M5G 0A3, Canada
| | - Paula Robson
- Cancer Research and Analytics, Cancer Control Alberta, Alberta Health Services, Suite 1500 Sun Life Place, 10123 99th Street NW, Edmonton, Alberta T5J 3H1, Canada
| | - Sébastien Jacquemont
- Department of Medicine, Université de Montréal, CHU Sainte Justine; 3175 Chemin de la Cote-Sainte-Catherine, Montreal, Quebec H3T 1C5, Canada.,Department of Pediatrics, Université de Montréal, CHU Sainte Justine, 3175 Chemin de la Cote-Sainte-Catherine, Montreal, Quebec H3T 1C5, Canada
| | - Trevor Dummer
- School of Population and Public Health, University of British Columbia, 675 W 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
| | - Nhu Le
- Department of Statistics, BC Cancer Agency, University of British Columbia, 675 W 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada
| | - Louise Parker
- Department of Medicine, Dalhousie University; 1494 Carlton Street, P.O. Box 15000, Halifax, Nova Scotia B3H 4R2, Canada
| | - Paul Poirier
- Institut universitaire de cardiologie et de pneumologie de Québec - Université Laval, 2725 chemin Sainte-Foy, Québec G1V 4G5, Canada
| | - Koon Teo
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, 237 Barton St East, Hamilton, Ontario L8L 2X2, Canada.,Department of Medicine, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada
| | - Scott A Lear
- Faculty of Health Sciences, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada
| | - Salim Yusuf
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, 237 Barton St East, Hamilton, Ontario L8L 2X2, Canada.,Department of Medicine, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada
| | - Jean-Claude Tardif
- Research Centre, Montreal Heart Institute, Université de Montréal, 5000 Belanger Street, Montreal H1T 1C8, Quebec, Canada
| | - Francois Marcotte
- Research Centre, Montreal Heart Institute, Université de Montréal, 5000 Belanger Street, Montreal H1T 1C8, Quebec, Canada
| | - David Busseuil
- Research Centre, Montreal Heart Institute, Université de Montréal, 5000 Belanger Street, Montreal H1T 1C8, Quebec, Canada
| | - Jean-Pierre Després
- Department of Kinesiology, Université Laval, 2325 rue de l'Université, Québec, Québec G1V 0A6, Canada
| | - Sandra E Black
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada.,Hurvitz Brain Sciences Research Program Director, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Anish Kirpalani
- Department of Medical Imaging, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada
| | - Grace Parraga
- Department of Medical Biophysics, Western University, 1151 Richmond Street North, London, Ontario N6A 5C1, Canada.,Robarts Research Institute, Western University, 1151 Richmond Street North, London, Ontario N6A 5B7, Canada
| | - Michael D Noseworthy
- Department of Electrical and Computer Engineering, School of Biomedical Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada.,Diagnostic Imaging, St. Joseph's Health Care, 50 Charlton Avenue East, Hamilton, Ontario L8N 4A6, Canada
| | - Alexander Dick
- Division of Cardiology, University of Ottawa Heart Institute, University of Ottawa, 40 Ruskin Street, Ottawa, Ontario K1Y 4W7, Canada
| | - Jonathan Leipsic
- Department of Radiology, University of British Columbia, St. Paul's Hospital, 1081 Burrard Street, Vancouver, British Columbia V6Z 1Y6, Canada
| | - David Kelton
- Diagnostic Imaging, Brampton Civic Hospital, William Osler Health System, 2100 Bovaird Street East, Brampton, Ontario L6R 3J7, Canada
| | - Jennifer Vena
- Cancer Research and Analytics, Cancer Control Alberta, Alberta Health Services, Richmond Road Diagnostic and Treatment Centre, 1820 Richmond Road SW Calgary, Alberta T2T 5C7, Canada
| | - Melissa Thomas
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, 237 Barton St East, Hamilton, Ontario L8L 2X2, Canada
| | - Karleen M Schulze
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, 237 Barton St East, Hamilton, Ontario L8L 2X2, Canada.,Department of Medicine, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4K1, Canada
| | - Eric Larose
- Institut universitaire de cardiologie et de pneumologie de Québec - Université Laval, 2725 chemin Sainte-Foy, Québec G1V 4G5, Canada
| | - Alan R Moody
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, Ontario M4N 3M5, Canada
| | - Eric E Smith
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, 3330 Hospital Drive NW, Calgary, Alberta T2N 4N1, Canada
| | - Matthias G Friedrich
- Department of Medicine and Diagnostic Radiology, McGill University, 1001 Decarie Boulevard, Montreal, Quebec H4A 3J1, Canada
| |
Collapse
|
21
|
Bos D, Arshi B, van den Bouwhuijsen QJA, Ikram MK, Selwaness M, Vernooij MW, Kavousi M, van der Lugt A. Atherosclerotic Carotid Plaque Composition and Incident Stroke and Coronary Events. J Am Coll Cardiol 2021; 77:1426-1435. [PMID: 33736825 DOI: 10.1016/j.jacc.2021.01.038] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 01/15/2021] [Accepted: 01/19/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Increasing evidence suggests that atherosclerotic plaque composition rather than plaque size is linked to ischemic cardiovascular events, yet largescale population-based data in asymptomatic individuals remain scarce. OBJECTIVES This study sought to investigate carotid plaque composition in relation to incident stroke and coronary heart disease (CHD) in a population-based setting. METHODS Between 2007 and 2012, 1,349 persons (mean age 72 years, 49.5% women) from the population-based Rotterdam Study who were free from a history of stroke or CHD, in whom carotid ultrasonography showed subclinical atherosclerosis, and who underwent high-resolution magnetic resonance imaging of the carotid arteries to assess plaque characteristics. These included the presence of specific plaque components (intraplaque hemorrhage [IPH], lipid-rich necrotic core, and calcification), and measures of plaque size (maximum plaque thickness and presence of stenosis of more than 30%). Individuals were continuously followed for the occurrence of stroke or CHD until January 1, 2015. The authors used Cox regression models to assess the association of the plaque characteristics with the incidence of stroke and CHD, with adjustments for age, sex, and cardiovascular risk factors. RESULTS During a median of 5.1 years' follow-up for stroke and 4.8 years for CHD, 51 individuals had a stroke and 83 developed CHD. Independent of maximum plaque thickness and cardiovascular risk factors, the presence of IPH was associated with incident stroke and CHD (fully adjusted hazard ratio: 2.42 [95% confidence interval: 1.30 to 4.50], and 1.95 [95% confidence interval: 1.20 to 3.14]). Presence of a lipid-rich necrotic core and calcification were not associated with stroke or CHD. CONCLUSIONS The presence of IPH in the carotid atherosclerotic plaque is an independent risk factor for stroke and CHD. These findings indicate the promise of IPH as a marker of plaque vulnerability in healthy persons with subclinical atherosclerosis.
Collapse
Affiliation(s)
- Daniel Bos
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands.
| | - Banafsheh Arshi
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Quirijn J A van den Bouwhuijsen
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Mariana Selwaness
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| |
Collapse
|
22
|
Saba PS, Parodi G, Ganau A. From Risk Factors to Clinical Disease: New Opportunities and Challenges for Cardiovascular Risk Prediction. J Am Coll Cardiol 2021; 77:1436-1438. [PMID: 33736826 DOI: 10.1016/j.jacc.2021.01.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 01/28/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Pier Sergio Saba
- Clinical and Interventional Cardiology, Sassari University Hospital, Sassari, Italy.
| | - Guido Parodi
- Clinical and Interventional Cardiology, Sassari University Hospital, Sassari, Italy
| | - Antonello Ganau
- Clinical and Interventional Cardiology, Sassari University Hospital, Sassari, Italy
| |
Collapse
|
23
|
Alkhalil M, Kuzemczak M, Whitehead N, Kavvouras C, Džavík V. Meta-Analysis of Intensive Lipid-Lowering Therapy in Patients With Polyvascular Disease. J Am Heart Assoc 2021; 10:e017948. [PMID: 33586467 PMCID: PMC8174253 DOI: 10.1161/jaha.120.017948] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background Polyvascular atherosclerotic disease is associated with an increased risk of future cardiovascular events. Intensive lipid-lowering therapy (ILT) may mitigate this risk. The aims of this study-level meta-analysis were to examine the effects of ILT in patients with polyvascular disease and whether baseline low-density lipoprotein cholesterol (LDL-C) may determine the level of benefit. Methods and Results Electronic databases were searched through January 2020 to identify randomized controlled trials of treatments targeting upregulation of LDL-C receptors (ie, statins, ezetimibe, and PCSK9 [proprotein convertase subtilisin-kexin type 9] inhibitors). The primary end point was major adverse vascular events as defined by the included studies. A total of 94 362 patients (14 821 [18.6%] with polyvascular disease) from 7 studies were included. In patients with monovascular disease, ILT was associated with a 13% reduction in the primary end point (rate ratio [RR] 0.87; 95% CI, 0.81-0.93 [P=0.0002]) (absolute RR, 1.8%) compared with less ILT, while patients with polyvascular disease had 15% relative RR (0.85; 95% CI, 0.80-0.90 [P<0.00001]) (absolute RR, 6.5%) (P=0.66 for interaction). When factoring LDL-C, unlike patients with monovascular disease, the relative benefits of ILT, compared with less ILT, in patients with polyvascular disease were comparable with LDL-C >100 mg/dL (RR, 0.85; 95% CI, 0.80-0.90 [P<0.00001]) and LDL-C <100 mg/dL (RR, 0.88; 95% CI, 0.81-0.96 [P=0.003]) (P=0.23 for interaction). Conclusions Patients with polyvascular disease experienced comparable benefits to those with monovascular disease in response to ILT. The benefits of ILT in patients with polyvascular disease were not dependent on baseline LDL-C, challenging the approach of using LDL-C as a prerequisite to commence ILT for this high-risk subgroup.
Collapse
Affiliation(s)
- Mohammad Alkhalil
- Division of Cardiology Peter Munk Cardiac CentreToronto General Hospital Toronto Canada.,Department of Cardiothoracic Services Freeman Hospital Newcastle-upon-Tyne United Kingdom
| | - Michał Kuzemczak
- Division of Cardiology Peter Munk Cardiac CentreToronto General Hospital Toronto Canada.,Division of Emergency Medicine Poznan University of Medical Sciences Poznań Poland.,Department of Interventional Cardiology Central Clinical Hospital of the Ministry of Interior and Administration Warsaw Poland
| | - Nicholas Whitehead
- Division of Cardiology Peter Munk Cardiac CentreToronto General Hospital Toronto Canada
| | - Charalampos Kavvouras
- Division of Cardiology Peter Munk Cardiac CentreToronto General Hospital Toronto Canada
| | - Vladimír Džavík
- Division of Cardiology Peter Munk Cardiac CentreToronto General Hospital Toronto Canada
| |
Collapse
|
24
|
Advances in Multimodality Carotid Plaque Imaging: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2021; 217:16-26. [PMID: 33438455 DOI: 10.2214/ajr.20.24869] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Contemporary imaging methods provide detailed visualization of carotid athero-sclerotic plaque, enabling a major evolution of in vivo carotid plaque imaging evaluation. The degree of luminal stenosis in the carotid artery bifurcation, as assessed by ultrasound, has historically served as the primary imaging feature for determining ischemic stroke risk and the potential need for surgery. However, stroke risk may be more strongly driven by the presence of specific characteristics of vulnerable plaque, as visualized on CT and MRI, than by traditional ultrasound-based assessment of luminal narrowing. This review highlights six promising imaging-based plaque characteristics that harbor unique information regarding plaque vulnerability: maximum plaque thickness and volume, calcification, ulceration, intraplaque hemorrhage, lipid-rich necrotic core, and thin or ruptured fibrous cap. Increasing evidence supports the association of these plaque characteristics with risk of ischemic stroke, although these characteristics have varying suitability for clinical implementation. Key aspects of CT and MRI protocols for carotid plaque imaging are also considered. Practical next steps and hurdles are explored for implementing routine imaging assessment of these plaque characteristics in addition to, or even as replacement for, traditional assessment of the degree of vascular stenosis on ultrasound, in the identification of individuals at high risk of ischemic stroke.
Collapse
|
25
|
Sun J, Lepor NE, Cantón G, Contreras L, Hippe DS, Isquith DA, Balu N, Kedan I, Simonini AA, Yuan C, Zhao XQ, Hatsukami TS. Serial magnetic resonance imaging detects a rapid reduction in plaque lipid content under PCSK9 inhibition with alirocumab. Int J Cardiovasc Imaging 2021; 37:1415-1422. [DOI: 10.1007/s10554-020-02115-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 11/21/2020] [Indexed: 12/29/2022]
|
26
|
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
|
27
|
Brunner G, Virani SS, Sun W, Liu L, Dodge RC, Nambi V, Coresh J, Mosley TH, Sharrett AR, Boerwinkle E, Ballantyne CM, Wasserman BA. Associations Between Carotid Artery Plaque Burden, Plaque Characteristics, and Cardiovascular Events: The ARIC Carotid Magnetic Resonance Imaging Study. JAMA Cardiol 2020; 6:79-86. [PMID: 33206125 DOI: 10.1001/jamacardio.2020.5573] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance It remains unknown whether in an asymptomatic community-based cohort magnetic resonance imaging (MRI) measures of plaque characteristics are independently associated with incident cardiovascular disease (CVD) events when adjusted for carotid artery (CA) wall thickness, a measure of plaque burden. Objective To assess associations of CA MRI plaque characteristics with incident CVD events. Design, Setting, and Participants The Atherosclerosis Risk in Communities (ARIC) study is a prospective epidemiologic study of the incidence of CVD in 15 792 adults of which 2066 women and men were enrolled in the ARIC Carotid MRI substudy. ARIC participants were enrolled from 1987 to 1989, and the substudy was conducted between January 2004 and December 2005. Analysis began January 2017 and ended August 2020. Exposures Incident CVD events during a median (interquartile range [IQR]) follow-up time of 10.5 (8.1-10.9) years were assessed. Main Outcomes and Measures Proportional hazards Cox analyses were performed to ascertain associations between MRI variables of CA plaque burden and plaque characteristics. Results Of 15 792 ARIC participants, 2066 were enrolled in the substudy, of whom 1256 (701 women [55.8%]) had complete data and were eligible for incident CVD analyses. Carotid artery plaques in participants with incident CVD events (172 [13.7%]) compared with those without (1084 [86.3%]) had a higher normalized wall index (median [IQR], 0.48 [0.36-0.62] vs 0.43 [0.34-0.55]; P = .001), maximum CA wall thickness (median [IQR], 2.22 [1.37-3.52] mm vs 1.96 [1.29-2.85] mm; P = .01), maximum CA stenosis (median [IQR], 5% [0%-22%] vs 0% [0%-13%]; P < .001), and when present, a larger lipid core volume (median [IQR], 0.05 [0.02-0.11] mL vs 0.03 [0.01-0.07] mL; P = .03), respectively. The presence of a lipid core was independently associated with incident CVD events when adjusted for traditional CVD risk factors and maximum CA wall thickness (hazard ratio, 2.48 [95% CI, 1.36-4.51]; P = .003), whereas the presence of calcification was not. The frequency of intraplaque hemorrhage presence in this population of individuals free of CVD at baseline who were not recruited for carotid stenosis was too small to draw any meaningful conclusions (intraplaque hemorrhage presence: 68 of 1256 participants [5.4%]). Carotid artery lumen area and maximum stenosis, which were overall low, were independently associated with incident CVD events when adjusted for traditional CVD risk factors, as anticipated. Conclusions and Relevance The presence of a CA lipid core on MRI is associated with incident CVD events independent of maximum CA wall thickness in asymptomatic participants.
Collapse
Affiliation(s)
- Gerd Brunner
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey
| | - Salim S Virani
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Michael E. DeBakey VA Medical Center, Houston, Texas
| | - Wensheng Sun
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Li Liu
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Rhiannon C Dodge
- The University of Texas Health Science Center School of Public Health, Houston
| | - Vijay Nambi
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Michael E. DeBakey VA Medical Center, Houston, Texas
| | - Josef Coresh
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Thomas H Mosley
- Division of Geriatric Medicine, University of Mississippi Medical Center, Jackson
| | - A Richey Sharrett
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Eric Boerwinkle
- The University of Texas Health Science Center School of Public Health, Houston
| | - Christie M Ballantyne
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Bruce A Wasserman
- The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| |
Collapse
|
28
|
Hop H, Potze JH, van den Berg-Faaij S, Borra RJH, Zheng KH, Nederveen AJ, Meijer K, Kamphuisen PW. Carotid plaque composition in persons with hemophilia: An explorative study with multi-contrast MRI. Thromb Res 2020; 197:138-140. [PMID: 33212381 DOI: 10.1016/j.thromres.2020.10.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 10/11/2020] [Accepted: 10/31/2020] [Indexed: 10/23/2022]
Affiliation(s)
- Hilde Hop
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, the Netherlands.
| | - Jan-Hendrik Potze
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Sandra van den Berg-Faaij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location AMC, the Netherlands
| | - Ronald J H Borra
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Kang H Zheng
- Department of Vascular Medicine, Amsterdam University Medical Center, location AMC, the Netherlands
| | - Aart J Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location AMC, the Netherlands
| | - Karina Meijer
- Department of Hematology, University Medical Center Groningen, University of Groningen, the Netherlands
| | - Pieter Willem Kamphuisen
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, the Netherlands; Department of Internal Medicine, Tergooi Hospital, location Hilversum, the Netherlands
| |
Collapse
|
29
|
Vessel Wall–Imaging Biomarkers of Carotid Plaque Vulnerability in Stroke Prevention Trials. JACC Cardiovasc Imaging 2020; 13:2445-2456. [DOI: 10.1016/j.jcmg.2020.07.046] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/27/2020] [Accepted: 07/31/2020] [Indexed: 02/06/2023]
|
30
|
Abstract
OBJECTIVES Embolic ischemic strokes cause significant mortality and morbidity worldwide. It has been proposed that some of these strokes are due to unstable carotid plaques with intraplaque hemorrhage (IPH) but a low overall degree of stenosis. Our aim was to test a fat-saturated T1-weighted (T1WI) black-blood sequence on MRI for the detection of IPH in symptomatic individuals and to quantify the relation between IPH, severity of stenoses, and ischemic brain lesions. MATERIALS AND METHODS Sixty-two patients were examined by 3T MRI. Sequences included brain diffusion-weighted imaging (DWI) as well as 3D turbo spin echo (TSE) fat-saturated black-blood T1 of the carotid bifurcations, to detect IPH as a focal intraplaque hyperintensity. Both carotid arteries were analyzed in each patient. The North American Symptomatic Carotid Endarterectomy Trial scale was used for quantification of stenosis degree. RESULTS Thirty-six out of 62 patients (mean age, 74) showed brain ischemia on DWI. Fifteen of these 36 patients (42%) had associated ipsilateral IPH at the carotid bifurcation or the proximal internal carotid artery. Mean degree of stenosis in this group was 50%. In 21 patients with ischemia without IPH, the mean degree of stenosis was 44%. CONCLUSIONS MRI with 3D TSE fat-saturated black-blood T1 technique is a safe, reliable, and noninvasive tool for the detection of IPH. A high percentage (42%) of ischemic events in patients with low- to moderate-degree stenosis were associated with IPH, an easily detectable imaging biomarker of plaque vulnerability. The ability to confirm IPH by MRI may help stratify patients into different risk and treatment groups in the future.
Collapse
|
31
|
Zhu G, Hom J, Li Y, Jiang B, Rodriguez F, Fleischmann D, Saloner D, Porcu M, Zhang Y, Saba L, Wintermark M. Carotid plaque imaging and the risk of atherosclerotic cardiovascular disease. Cardiovasc Diagn Ther 2020; 10:1048-1067. [PMID: 32968660 DOI: 10.21037/cdt.2020.03.10] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Carotid artery plaque is a measure of atherosclerosis and is associated with future risk of atherosclerotic cardiovascular disease (ASCVD), which encompasses coronary, cerebrovascular, and peripheral arterial diseases. With advanced imaging techniques, computerized tomography (CT) and magnetic resonance imaging (MRI) have shown their potential superiority to routine ultrasound to detect features of carotid plaque vulnerability, such as intraplaque hemorrhage (IPH), lipid-rich necrotic core (LRNC), fibrous cap (FC), and calcification. The correlation between imaging features and histological changes of carotid plaques has been investigated. Imaging of carotid features has been used to predict the risk of cardiovascular events. Other techniques such as nuclear imaging and intra-vascular ultrasound (IVUS) have also been proposed to better understand the vulnerable carotid plaque features. In this article, we review the studies of imaging specific carotid plaque components and their correlation with risk scores.
Collapse
Affiliation(s)
- Guangming Zhu
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Jason Hom
- Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Ying Li
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA.,Clinical Medical Research Center, Luye Pharma Group Ltd., Beijing 100000, China
| | - Bin Jiang
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Fatima Rodriguez
- Division of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University, Palo Alto, CA, USA
| | - Dominik Fleischmann
- Department of Radiology, Cardiovascular Imaging Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - David Saloner
- Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Michele Porcu
- Dipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy
| | - Yanrong Zhang
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Luca Saba
- Dipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy
| | - Max Wintermark
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
| |
Collapse
|
32
|
Fu Q, Wang X, Wu T, Wang R, Wu X, Wang Y, Feng Z. Carotid atherosclerosis biomarkers in cardiovascular diseases prevention: A systematic review and bibliometric analysis. Eur J Radiol 2020; 129:109133. [PMID: 32610187 DOI: 10.1016/j.ejrad.2020.109133] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 02/09/2020] [Accepted: 06/12/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE While carotid atherosclerosis (CA) biomarkers are valuable surrogates for cardiovascular events, their inadequate utility is highlighted by clinical practice. We performed an interdisciplinary systematic review and bibliometric analysis to identify the knowledge gaps and offer directions for future research. METHODS We applied a comprehensive search strategy to construct a representative dataset of the bibliographic records of CA from 1997 to 2018. A total of 31,793 retrieved articles and 407,473 cited references were included in the analysis. The co-word network and co-citation network were derived to describe the major disciplines and topics of CA research. Milestones detected by burst analysis were reviewed to delineate the evolutionary patterns and emerging trends of research on CA biomarkers. RESULTS CA is a multidisciplinary field of study which could be divided into 3 communities: the primary prevention of CVD, the secondary prevention of CVD and imaging techniques to characterize carotid atherosclerosis. The evolution of a CA biomarker may go through 3 stages: the conceptualization stage, the validation stage and the reclassification stage. Measurements that include different CA plaque features, rather than separately, have shown greater value for cardiovascular risk or clinical decision-making. CONCLUSIONS Although wide variability exists in the evolutionary stages of CA biomarkers, combined evaluation of CA plaque imaging features shows potential value to improve risk prediction and clinical decision-making for CVD prevention.
Collapse
Affiliation(s)
- Qian Fu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Xiaojun Wang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Tailai Wu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Ruoxi Wang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Xiang Wu
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Yang Wang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China
| | - Zhanchun Feng
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, China.
| |
Collapse
|
33
|
Abstract
BACKGROUND Data mining technology used in the field of medicine has been widely studied by scholars all over the world. But there is little research on medical data mining (MDM) from the perspectives of bibliometrics and visualization, and the research topics and development trends in this field are still unclear. METHODS This paper has applied bibliometric visualization software tools, VOSviewer 1.6.10 and CiteSpace V, to study the citation characteristics, international cooperation, author cooperation, and geographical distribution of the MDM. RESULTS A total of 1575 documents are obtained, and the most frequent document type is article (1376). SHAN NH is the most productive author, with the highest number of publications of 12, and the Gillies's article (750 times citation) is the most cited paper. The most productive country and institution in MDM is the USA (559) and US FDA (35), respectively. The Journal of Biomedical Informatics, Expert Systems with Applications and Journal of Medical Systems are the most productive journals, which reflected the nature of the research, and keywords "classification (790)" and "system (576)" have the strongest strength. The hot topics in MDM are drug discovery, medical imaging, vaccine safety, and so on. The 3 frontier topics are reporting system, precision medicine, and inflammation, and would be the foci of future research. CONCLUSION The present study provides a panoramic view of data mining methods applied in medicine by visualization and bibliometrics. Analysis of authors, journals, institutions, and countries could provide reference for researchers who are fresh to the field in different ways. Researchers may also consider the emerging trends when deciding the direction of their study.
Collapse
Affiliation(s)
- Yuanzhang Hu
- School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan
| | - Zeyun Yu
- College of Acupuncture and TuiNa, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xiaoen Cheng
- School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan
| | - Yue Luo
- School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan
| | - Chuanbiao Wen
- School of Medical Information Engineering, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan
| |
Collapse
|
34
|
Qiao H, Li D, Cao J, Qi H, Han Y, Han H, Xu H, Wang T, Chen S, Chen H, Wang Y, Zhao X. Quantitative evaluation of carotid atherosclerotic vulnerable plaques using in vivo T1 mapping cardiovascular magnetic resonaonce: validation by histology. J Cardiovasc Magn Reson 2020; 22:38. [PMID: 32434582 PMCID: PMC7240932 DOI: 10.1186/s12968-020-00624-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 04/07/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND It has been proved that multi-contrast cardiovascular magnetic resonance (CMR) vessel wall imaging could be used to characterize carotid vulnerable plaque components according to the signal intensity on different contrast images. The signal intensity of plaque components is mainly dependent on the values of T1 and T2 relaxation. T1 mapping recently showed a potential in identifying plaque components but it is not well validated by histology. This study aimed to validate the usefulness of in vivo T1 mapping in assessing carotid vulnerable plaque components by histology. METHODS Thirty-four subjects (mean age, 64.0 ± 8.9 years; 26 males) with carotid plaques referred to carotid endarterectomy were prospectively enrolled and underwent 3 T CMR imaging from May 2017 to October 2017. The T1 values of intraplaque hemorrhage (IPH), necrotic core (NC) and loose matrix (LM) which were identified on multi-contrast vessel wall images or histology were measured on in-vivo T1 mapping. The IPHs were divided into two types based on the proportion of the area of fresh hemorrhage on histology. The T1 values of different plaque components were compared using Mann-Whitney U test and the agreement between T1 mapping and histology in identifying and quantifying IPH was analyzed with Cohen's Kappa and intraclass correlation coefficient (ICC). RESULTS Of 34 subjects, 19 had histological specimens matched with CMR imaging. The mean T1 values of IPH (651 ± 253 ms), NC (1161 ± 182 ms) and LM (1447 ± 310 ms) identified by histology were significantly different. The T1 values of Type 1 IPH were significantly shorter than that of Type 2 IPH (456 ± 193 ms vs. 775 ± 205 ms, p < 0.001). Moderate to excellent agreement was found in identification (kappa = 0.51, p < 0.001), classification (kappa = 0.40, p = 0.028) and segmentation (ICC = 0.816, 95% CI 0.679-0.894) of IPHs between T1 mapping and histology. CONCLUSIONS The T1 values of carotid plaque components, particularly for intraplaque hemorrhage, are differentiable, and the stage of intraplaque hemorrhage can be classified according to T1 values, suggesting the potential capability of assessment of vulnerable plaque components by T1 mapping.
Collapse
Affiliation(s)
- Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Dongye Li
- Department of Radiology, Sun Yat-sen Memorial hospital, Sun Yat-sen University, Guangzhou, China
| | - Jingli Cao
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Haikun Qi
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Yongjun Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Huimin Xu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Tao Wang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Yajie Wang
- Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China.
| |
Collapse
|
35
|
Qiao H, Cai Y, Huang M, Liu Y, Zhang Q, Huang L, Chen H, Yuan C, Zhao X. Quantitative assessment of carotid artery atherosclerosis by three-dimensional magnetic resonance and two-dimensional ultrasound imaging: a comparison study. Quant Imaging Med Surg 2020; 10:1021-1032. [PMID: 32489926 DOI: 10.21037/qims-19-818] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Background It has been proven that magnetic resonance (MR) and ultrasound imaging are useful tools in the quantification of carotid atherosclerotic plaques. However, there are only a few pieces of evidence to illustrate the links of quantitative measurements of carotid plaques between MR and ultrasound imaging. This study looked to compare the quantitative measurements of carotid plaques and investigate their relationship between three-dimensional (3D) MR vessel wall imaging and two-dimensional (2D) ultrasound imaging. Methods Seventy-five asymptomatic elderly subjects (mean age: 73.3±5.7 years; 45 males) with carotid atherosclerotic plaques diagnosed by both ultrasound and MR imaging were included in this study. The plaque size, including the maximum wall thickness (Max WT), plaque length, and plaque area, was measured by 3D MR and ultrasound imaging on longitudinal and cross-sectional views. The quantitative assessments of carotid plaque size were compared and correlated between 3D MR and 2D ultrasound imaging. Results In total, the quantitative measurements of 101 plaques on longitudinal views or 44 plaques on cross-sectional views of both MR and ultrasound imaging were compared. The Max WT of the plaques (longitudinal: 2.9±0.8 vs. 2.4±0.9 mm; cross-sectional: 3.2±1.1 vs. 2.6±0.7 mm) and plaque areas (longitudinal: 24.3±13.4 vs. 17.0±12.7 mm2; cross-sectional: 24.9±24.6 vs. 16.8±13.3 mm2) measured by MR imaging were found to be significantly higher than those measured by ultrasound imaging (all P<0.001). Moderate to strong correlations were found in Max WT, plaque area, plaque length between 3D MR and ultrasound imaging. Conclusions The quantitative measurements of carotid plaques using 3D MR and 2D ultrasound are significantly correlated. The plaque area and Max WT measured by 3D MR imaging are more significant than these parameters measured by 2D ultrasound imaging, which might be explained by the resolution of MR imaging and the workflow of measurements.
Collapse
Affiliation(s)
- Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | - Ying Cai
- Department of Radiology, Taizhou People's Hospital, Taizhou 225400, China
| | - Manwei Huang
- Department of Ultrasound, China Meitan General Hospital, Beijing 100028, China
| | - Yang Liu
- Department of Radiology, The Affiliated Hospital of Yangzhou University, Yangzhou 225009, China
| | - Qiang Zhang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | | | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | - Chun Yuan
- Department of Radiology, University of Washington, Washington, Seattle, USA
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| |
Collapse
|
36
|
Daghem M, Bing R, Fayad ZA, Dweck MR. Noninvasive Imaging to Assess Atherosclerotic Plaque Composition and Disease Activity: Coronary and Carotid Applications. JACC Cardiovasc Imaging 2020; 13:1055-1068. [PMID: 31422147 PMCID: PMC10661368 DOI: 10.1016/j.jcmg.2019.03.033] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 03/07/2019] [Accepted: 03/24/2019] [Indexed: 12/20/2022]
Abstract
Cardiovascular disease is one of the leading causes of mortality and morbidity worldwide. Atherosclerosis imaging has traditionally focused on detection of obstructive luminal stenoses or measurements of plaque burden. However, with advances in imaging technology it has now become possible to noninvasively interrogate plaque composition and disease activity, thereby differentiating stable from unstable patterns of disease and potentially improving risk stratification. This manuscript reviews multimodality imaging in this field, focusing on carotid and coronary atherosclerosis and how these novel techniques have the potential to complement current imaging assessments and improve clinical decision making.
Collapse
Affiliation(s)
- Marwa Daghem
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Rong Bing
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Zahi A Fayad
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| |
Collapse
|
37
|
Alkhalil M. A promising tool to tackle the risk of cerebral vascular disease, the emergence of novel carotid wall imaging. Brain Circ 2020; 6:81-86. [PMID: 33033777 PMCID: PMC7511918 DOI: 10.4103/bc.bc_65_19] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/24/2020] [Accepted: 03/25/2020] [Indexed: 11/24/2022] Open
Abstract
Stroke is a heterogeneous vascular disease. Carotid artery atherosclerosis is associated with almost one-quarter of ischemic strokes. Moreover, a large percentage of preventable strokes are currently attributed to carotid atherosclerosis. Over the past three decades, the management of carotid artery disease has evolved. The benefits of carotid revascularization alongside medical therapy have early been recognized. Nonetheless, the debate regarding the optimal strategy is still ongoing, particularly in patients with asymptomatic carotid artery disease. One of the challenges is the use of luminal stenosis to quantify the severity of the carotid artery disease and to guide decision-making regarding invasive revascularization. Characterizing carotid atherosclerotic plaque is a promising tool to identify vulnerable plaque. Certain features such as large lipid core have already been linked to acute vascular events, not only at the plaque level but also to predict systemic cardiovascular events. Recently, a quantitative T2 mapping magnetic resonance imaging technique was developed and validated against histology. The ability to accurately quantify plaque lipid content using this technique opens several new opportunities. In this review articles, we will discuss the current challenges in the management of carotid artery disease and the future roles of T2 mapping to aid therapeutic options. These roles may include how to determine the mode of invasive carotid revascularization in symptomatic patients. Moreover, there may be a rational to use T2 mapping as a risk stratification tool in asymptomatic patients with carotid artery stenosis. It may also provide an opportunity to stage atherosclerosis and identify patients with coronary atherosclerosis who may benefit maximally from intensive lipid interventions.
Collapse
Affiliation(s)
- Mohammad Alkhalil
- Department of Cardiology, Royal Victoria Hospital, Belfast, UK
- Department of Cardiology, Toronto General Hospital, Toronto, Canada
| |
Collapse
|
38
|
Rafati M, Rafati-Rahimzadeh M, Moladoust H, Sehhati M. Vascular deformation in human atherosclerotic carotid artery evaluated by 2D analysis of ultrasonography. Vascular 2020; 28:441-449. [PMID: 32106794 DOI: 10.1177/1708538119890163] [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: 11/15/2022]
Abstract
OBJECTIVES Common carotid artery (CCA) remodelling in the atherosclerosis process is an inherent necessary element that decreases the progress of significant lumen compromise. The present study used a semi-automated method to assess relationships of intima-media thickness (IMT), lumen diameter (LD) and inter-adventitial diameter (IAD) using ultrasound B-mode images of atherosclerotic carotid artery. METHODS In the cross-sectional study, 120 male subjects (age range: 40-60 years) were classified into four research groups namely control, mild, moderate, and severe stenosis. The maximum near and far wall IMT, mean of both walls' IMT and IAD, and also LD of the left CCA were extracted for all participants. Pearson correlation coefficient was utilized to investigate relationships of IMT, LD, and IAD. RESULTS Results revealed that the maximum far and near wall IMT, mean of both walls' IMT and IAD in the CCA were significantly different in stenosis patients and the control group (p< 0.001). However, there were no significant differences among the four studied groups in terms of LD of CCA (p = 0.65). There was a stronger correlation between mean of both walls' IMT and IAD in comparison with mean far wall IMT and IAD (p < 0.001). CONCLUSIONS Results indicated that changes of IAD in the left CCA were associated with carotid deformation, and thus it can be considered as a predictor of atherosclerosis process.
Collapse
Affiliation(s)
- Mehravar Rafati
- Faculty of Paramedicine, Department of Medical Physics and Radiology, Kashan University of Medical Sciences, Kashan, Iran
| | | | - Hassan Moladoust
- Cardiovascular Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mohammadreza Sehhati
- Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| |
Collapse
|
39
|
Chorath A, Choi Y, Turkbey EB, Ahlman MA, Sibley CT, Liu S, Bluemke DA, Sandfort V. Coronary CT Angiography and Carotid MRI Improve Phenotyping of Disease Extent Compared with ACC/AHA Risk Score Alone. Radiol Cardiothorac Imaging 2020; 2:e190068. [PMID: 32715300 PMCID: PMC7053177 DOI: 10.1148/ryct.2020190068] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 11/06/2019] [Accepted: 11/25/2019] [Indexed: 06/11/2023]
Abstract
PURPOSE To determine the relationship between the American College of Cardiology/American Heart Association (ACC/AHA) risk score and plaque phenotype of the coronary and carotid arteries assessed directly using CT angiography and MRI. MATERIALS AND METHODS Asymptomatic subjects eligible for statin therapy by risk score were enrolled in a prospective study of disease burden using coronary artery calcium (CAC) scoring, coronary CT angiography, and MRI of the carotid arteries. Quartiles were calculated for noncalcified plaque, CAC, and average carotid wall volume and were compared with ACC/AHA risk quartiles. RESULTS Two hundred three subjects were studied (60% men; mean age, 65 years). There were weak correlations between risk and carotid wall volume (Kendall tau = 0.29), noncalcified plaque (tau = 0.16), and CAC (tau = 0.33). ACC/AHA risk alone misclassified plaque extent compared with measurement by carotid wall volume, CAC, and noncalcified plaque in 22.1%, 24.1%, and 29.6% of subjects, respectively. On average, 13% of the subjects were underclassified, and 12.5% were overclassified. CONCLUSION Approximately 25% of subjects had large discrepancies between ACC/AHA risk and plaque burden at imaging. These results suggest that clinical risk score models alone do not fully reflect the amount of atherosclerotic disease present.© RSNA, 2020See also the commentary by Truong and Villines in this issue.
Collapse
|
40
|
Baradaran H, Gupta A. Carotid Vessel Wall Imaging on CTA. AJNR Am J Neuroradiol 2020; 41:380-386. [PMID: 32029468 DOI: 10.3174/ajnr.a6403] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 12/17/2019] [Indexed: 02/06/2023]
Abstract
Vessel wall imaging has been increasingly used to characterize plaque beyond luminal narrowing to identify patients who may be at the highest risk of cerebrovascular ischemia. Although detailed plaque information can be obtained from many imaging modalities, CTA is particularly appealing for carotid plaque imaging due to its relatively low cost, wide availability, operator independence, and ability to discern high-risk features. The present Review Article describes the current understanding of plaque characteristics on CTA by describing commonly encountered plaque features, including calcified and soft plaque, surface irregularities, neovascularization, and inflammation. The goal of this Review Article was to provide a more robust understanding of clinically relevant plaque features detectable on routine CTA of the carotid arteries.
Collapse
Affiliation(s)
- H Baradaran
- From the Department of Radiology (H.B.), University of Utah, Salt Lake City, Utah
| | - A Gupta
- Department of Radiology (A.G.), Weill Cornell Medicine, New York, New York
| |
Collapse
|
41
|
Moreyra E, Moreyra C, Tibaldi MA, Crespo F, Arias V, Lepori AJ, Moreyra EA. Concordance and prevalence of subclinical atherosclerosis in different vascular territories. Vascular 2020; 28:285-294. [DOI: 10.1177/1708538119894178] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background Subclinical atherosclerosis (SA) in the carotid, femoral, and coronary territories is a powerful predictor of cardiovascular (CV) events. Whether it is sufficient to assess SA in a single vascular territory in early-stage disease is uncertain. We aimed to determine the prevalence and concordance of SA in these vascular beds in asymptomatic patients without known CV disease. Methods We enrolled patients aged 35 to 75 years who were asymptomatic, without known CV disease, and had undergone carotid and femoral Doppler ultrasonography and calcium scoring. Those receiving statins were excluded. SA was defined as the presence of plaques in the carotid and/or femoral arteries or the presence of calcium in the coronary arteries (Agatston score >0). Results A total of 212 patients were identified with a mean age of 53 ± 7 years, of which 60% (128 patients) were men. The prevalence of SA was 62%. The distribution of SA between the three territories was similar, involving the carotid territory in 38% of cases, the femoral in 31%, and the coronaries in 37%. The concordance between the different vascular territories was weak, with a k index of 0.21 between the coronary and carotid territories, 0.27 between the coronary and femoral territories, and 0.34 between the carotid and femoral territories. Conclusions The prevalence of SA in asymptomatic patients without known CV disease is high. The concordance in the presence of SA between the three vascular territories is weak. Therefore, all three vascular beds need to be investigated.
Collapse
|
42
|
Li J, Li D, Yang D, Huo R, Chen X, Xu Y, Dai W, Zhou D, Zhao X. Co-existing cerebrovascular atherosclerosis predicts subsequent vascular event: a multi-contrast cardiovascular magnetic resonance imaging study. J Cardiovasc Magn Reson 2020; 22:4. [PMID: 31928532 PMCID: PMC6956475 DOI: 10.1186/s12968-019-0596-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 12/20/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND It is still unknown that whether co-existing intracranial stenosis and extracranial carotid vulnerable plaques have higher predictive value for subsequent vascular events. This study aimed to determine the relationship between co-existing extracranial carotid vulnerable plaques and intracranial stenosis and subsequent vascular events utilizing cardiovascular magnetic resonance (CMR) vessel wall imaging. METHODS Patients who had recent cerebrovascular symptoms in anterior circulation (< 2 weeks) were consecutively enrolled and underwent multi-contrast CMR vessel wall imaging for extracranial carotid arteries and 3D time-of flight CMR angiography for intracranial arteries at baseline. After baseline examination, all patients were followed-up for at least 1 year to determined recurrence of vascular events. The co-existing cerebrovascular atherosclerosis was defined as presence of both intracranial artery stenosis and at least one the following measures of extracranial artery atherosclerosis: plaque, calcification, lipid-rich necrotic core (LRNC), or intraplaque hemorrhage. Univariate and multivariate Cox regressions were used to calculate the hazard ratio (HR) and corresponding 95% confidence interval (CI) of co-existing plaques in predicting subsequent vascular events. RESULTS In total, 150 patients (mean age: 61.8 ± 11.9 years; 109 males) were recruited. During the median follow-up time of 12.1 months, 41 (27.3%) patients experienced vascular events. Co-existing intracranial artery stenosis and extracranial carotid plaque (HR, 3.57; 95% CI, 1.63-7.82; P = 0.001) and co-existing intracranial artery stenosis and extracranial carotid LRNC (HR, 4.47; 95% CI, 2.15-9.27; P < 0.001) were significantly associated with subsequent vascular events, respectively. After adjusted for confounding factors and carotid stenosis, these associations remained statistically significant (HR, 5.12; 95% CI, 1.36-19.24; P = 0.016 and HR, 8.12; 95% CI, 2.41-27.31; P = 0.001, respectively). CONCLUSIONS The co-existing cerebrovascular atherosclerotic diseases, particularly co-existing carotid lipid-rich necrotic core and intracranial stenosis, are independent predictors for subsequent vascular events.
Collapse
Affiliation(s)
- Jin Li
- Department of Radiology, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084 China
| | - Dongye Li
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084 China
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Dandan Yang
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Ran Huo
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Xiaoyi Chen
- Department of Radiology, Beijing Geriatric Hospital, Beijing, China
| | - Yilan Xu
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Wei Dai
- Department of Neurology, Fourth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Dan Zhou
- Department of Radiology, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084 China
| |
Collapse
|
43
|
18F-FDG uptake velocity but not uptake level is associated with progression of carotid plaque. Eur Radiol 2020; 30:2403-2411. [PMID: 31900697 DOI: 10.1007/s00330-019-06535-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/05/2019] [Accepted: 10/22/2019] [Indexed: 10/25/2022]
Abstract
OBJECTIVES The objective of this study was to evaluate whether baseline 18F-fluorodeoxyglucose (FDG) uptake is associated with carotid plaque progression. METHODS A total of 156 subjects with carotid plaque were enrolled and underwent carotid magnetic resonance imaging (MRI) (at baseline and the 12-month follow-up) and positron emission tomography-computed tomography (PET-CT) (baseline). Carotid plaque progression was evaluated by two indices (the incidence of plaque progression and percentage of plaque increase) with three-dimensional (3D) imaging, while the 18F-FDG uptake was evaluated by the 18F-FDG uptake levels and 18F-FDG uptake velocity. The association between plaque progression and 18F-FDG uptake was investigated by the trend test and multivariate logistic regression analysis. RESULTS Of the 156 subjects, 80 (51.3%) showed carotid plaque progression during the 12-month follow-up. Firstly, no association was found between 18F-FDG uptake levels and plaque progression. Secondly, significant differences in the incidence of plaque progression were observed among the groups with different uptake velocities, showing a significant decreasing trend ranging from high to intermediate to low (p = 0.002, trend test). After adjusting for covariates, an adequate prediction of the 18F-FDG uptake velocity for the incidence of plaque progression was revealed (OR = 0.682, p < 0.05). In addition, no association was found between the 18F-FDG uptake velocity and the percentage of plaque increase in the subjects with plaque progression (p = 0.757, trend test). CONCLUSIONS Our findings suggest 18F-FDG uptake velocity is independently associated with the incidence of carotid plaque progression. Additionally, the 18F-FDG uptake velocity, as another important parameter of PET-CT, warrants further study in future clinical research. KEY POINTS • The18F-FDG uptake levels were not associated with the carotid plaque progression. • The18F-FDG uptake velocity could predict the incidence of carotid plaque progression. • The18F-FDG uptake velocity with related factors warrants more attention in future clinical research.
Collapse
|
44
|
Kim K, Lim C, Kim G, Chung JH, Cho YS, Cho JH, Seo JB, Chung WY, Oh SJ, Choi JS, Kim JS, Park JJ, Suh JW, Youn TJ, Chae IH, Choi DJ. Association of Plasma Marker of Oxidized Lipid with Histologic Plaque Instability in Patients with Peripheral Artery Disease. Ann Vasc Surg 2019; 66:554-565. [PMID: 31706994 DOI: 10.1016/j.avsg.2019.11.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 10/05/2019] [Accepted: 11/01/2019] [Indexed: 12/24/2022]
Abstract
BACKGROUND The association between oxidized low-density lipoprotein (OxLDL) and plaque instability in coronary and carotid artery disease is well established. However, the association between OxLDL and the histologic changes of plaque in peripheral artery disease has not been clearly elucidated. This study aims to investigate the association between plasma OxLDL and histologic plaque instability in patients with peripheral artery disease. METHODS Prospectively obtained plaques from 48 patients who underwent endovascular atherectomy (n = 20), surgical endarterectomy (n = 9), or bypass surgery (n = 19) for treatment of atherosclerotic femoropopliteal artery disease were evaluated for histologic fibrosis, sclerosis, calcification, necrosis, cholesterol cleft, and foamy macrophages using hematoxylin and eosin, oil red O, and immunohistochemical staining. Unstable plaques were defined as plaques that were positive for foamy macrophages and with lipid content of more than 10% of the total plaque area. Plasma OxLDL levels were measured using an enzyme-linked immunosorbent assay (Mercodia AB, Uppsala, Sweden). RESULTS Of the 48 patients, 26 (54%) had unstable plaques. The unstable plaque group was younger, had fewer angiographic total occlusions, less calcification, and more CD68-positive and LOX-1-positive cells than the stable plaque group. Plasma OxLDL levels were significantly higher in the unstable plaque group than in the stable plaque group (57.4 ± 13.9 vs. 47.2 ± 13.6 U/L, P = 0.014). Multivariate analysis revealed that plasma OxLDL level, smoking, angiographic nontotal occlusion, and statin nonuse were independent predictors of unstable plaque. CONCLUSIONS Among patients with peripheral artery disease, the histologic instability of femoropopliteal plaque was independently associated with high plasma OxLDL, smoking, nontotal occlusion, and statin nonuse. Further large-scale studies are necessary to evaluate the role of noninvasive OxLDL measurement for predicting plaque instability and future adverse vascular event.
Collapse
Affiliation(s)
- Kichun Kim
- The Armed Forces Medical Command, Seongnam, South Korea
| | - Cheong Lim
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Gilhyang Kim
- Department of Pathology, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jin-Haeng Chung
- Department of Pathology, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Young-Seok Cho
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
| | - Jun Hwan Cho
- Department of Internal Medicine, Chung-Ang University Hospital, Seoul, South Korea
| | - Jae-Bin Seo
- Department of Internal Medicine, Seoul National University-Seoul Metropolitan Government Boramae Medical Center, Seoul, South Korea
| | - Woo-Young Chung
- Department of Internal Medicine, Seoul National University-Seoul Metropolitan Government Boramae Medical Center, Seoul, South Korea
| | - Se-Jin Oh
- Department of Cardiothoracic Surgery, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Jae-Sung Choi
- Department of Cardiothoracic Surgery, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Jun-Sung Kim
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jin Joo Park
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jung-Won Suh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Tae-Jin Youn
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - In-Ho Chae
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Dong-Ju Choi
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| |
Collapse
|
45
|
Wu J, Xin J, Yang X, Sun J, Xu D, Zheng N, Yuan C. Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI. Med Phys 2019; 46:5544-5561. [PMID: 31356693 DOI: 10.1002/mp.13739] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 06/14/2019] [Accepted: 07/11/2019] [Indexed: 12/21/2022] Open
Abstract
PURPOSE Early detection of carotid atherosclerosis on the vessel wall (VW) magnetic resonance imaging (MRI) (VW-MRI) images can prevent the progression of cardiovascular disease. However, the manual inspection process of the VW-MRI images is cumbersome and has low reproducibility. Therefore in this paper, by using the convolutional neural networks (CNNs), we develop a deep morphology aided diagnosis (DeepMAD) network for automated segmentation of the VW of carotid artery and for automated diagnosis of the carotid atherosclerosis with the black-blood (BB) VW-MRI (i.e., the T1-weighted MRI) in a slice-by-slice manner. METHODS The proposed DeepMAD network consists of a segmentation subnetwork and a diagnosis subnetwork for performing the segmentation and diagnosis tasks on the BB-VW-MRI images, where the manual labeled lumen area, the manual labeled outer wall area and the manual labeled lesion Types based on the modified American Heart Association (AHA) criteria are used as the ground-truth. Specifically, a deep U-shape CNN with a weighted fusion layer is designed as the segmentation subnetwork, where the lumen area and the outer wall area can be simultaneously segmented under the supervision of the triple Dice loss to provide the vessel wall map as morphological information. Then, the image stream from the BB-VWMRI image and the morphology stream from the obtained vessel wall map are extracted from two deep CNNs and combined to obtain the diagnosis results of atherosclerosis in the diagnosis subnetwork. In addition, the triple input set is formed by three carotid regions of interest (ROIs) from three consecutive slices of the MRI sequence and input to the DeepMAD network, where the first and last slices used as additional adjacent slices to provide 2.5D spatial information along the carotid artery centerline for the intermediate slice, which is the target slice for segmentation and diagnosis in the study. RESULTS Compared to other existing methods, the DeepMAD network can achieve promising segmentation performances (0.9594 Dice for the lumen and 0.9657 Dice for the outer wall) and better diagnosis Accuracy of the carotid atherosclerosis (0.9503 AUC and 0.8916 Accuracy) in the test dataset (including invisible subjects) from same source as the training dataset. In addition, the trained DeepMAD model can be successfully transferred to another test dataset for segmentation and diagnosis tasks with remarkable performance (0.9475 Dice for the lumen and 0.9542 Dice for the outer wall, 0. 9227 AUC and 0.8679 Accuracy for diagnosis). CONCLUSIONS Even without the intervention of reviewers required for previous works, the proposed DeepMAD network automatically segments the lumen and the outer wall together and diagnoses the carotid atherosclerosis with high performances. The DeepMAD network can be used in clinical trials to help radiologists get rid of tedious reading tasks, such as screening review to separate the normal carotid from the atherosclerotic arteries and outlining the vessel wall contours.
Collapse
Affiliation(s)
- Jiayi Wu
- Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jingmin Xin
- Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Xiaofeng Yang
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
| | - Jie Sun
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Dongxiang Xu
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Nanning Zheng
- Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA, USA
| |
Collapse
|
46
|
Sánchez E, Betriu À, Yeramian A, Fernández E, Purroy F, Sánchez-de-la-Torre M, Pamplona R, Miquel E, Kerkeni M, Hernández C, Simó R, Lecube A, Hernández M, Rius F, Polanco D, Barbé F, Torres G, Suárez G, Portero-Otin M, Jové M, Colàs-Campàs L, Benabdelhak I, Farràs C, Ortega M, Manuel Valdivielso J, Bermúdez-López M, Martínez-Alonso M. Skin Autofluorescence Measurement in Subclinical Atheromatous Disease: Results from the ILERVAS Project. J Atheroscler Thromb 2019; 26:879-889. [PMID: 30842389 PMCID: PMC6800392 DOI: 10.5551/jat.47498] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Aim: Advanced glycation end-products (AGEs) have been involved in the atherogenic process in the high-risk population. The goal of this study was to demonstrate that AGEs are related to subclinical atheromatous disease in subjects with low to moderate vascular risk. Methods: A cross-sectional study in which 2,568 non-diabetic subjects of both sexes without cardiovascular disease were included. Subcutaneous content of AGEs was assessed by skin autofluorescence (SAF) and subclinical atheromatous disease was measured by assessing the atheromatous plaque burden in carotid and femoral regions using ultrasonography. In addition, serum pentosidine, carboxymethyl-lysine (CML) and AGE receptors (RAGE) were assessed in a nested case-control study with 41 subjects without plaque and 41 individuals subjects with generalized disease. Results: Patients with atheromatous plaque had a higher SAF than those with no plaque (1.9 [1.7 to 2.3] vs. 1.8 [1.6 to 2.1] arbitrary units (AU), p % 0.001). The SAF correlated with the total number of affected regions (r = 0.171, p < 0.001), increasing progressively from 1.8 [1.6 to 2.1] AU in those without atheromatous disease to 2.3 [1.9 to 2.7] AU in patients with ≥ 8 plaques (p < 0.001). A correlation was also observed between SAF and the total plaque area (r = 0.113, p < 0.001). The area under the Receiver Operating Characteristic curve was 0.65 (0.61 to 0.68) for identifying male subjects with atheromatous disease. The multivariable logistic regression model showed a significant and independent association between SAF and the presence of atheromatous disease. However, no significant differences in serum pentosidine, CML, and RAGE were observed. Conclusions: Increased subcutaneous content of AGEs is associated with augmented atheromatous plaque burden. Our results suggest that SAF may provide clinically relevant information to the current strategies for the evaluation of cardiovascular risk, especially among the male population.
Collapse
Affiliation(s)
- Enric Sánchez
- Endocrinology and Nutrition Department. University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) research group. IRBLleida. University of Lleida
| | - Àngels Betriu
- Unit for the Detection and Treatment of Atherothrombotic Diseases (UDETMA V&R). University Hospital Arnau de Vilanova. Vascular and Renal Translational Research Group. IRBLleida. University of Lleida
| | - Andree Yeramian
- Endocrinology and Nutrition Department. University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) research group. IRBLleida. University of Lleida
| | - Elvira Fernández
- Unit for the Detection and Treatment of Atherothrombotic Diseases (UDETMA V&R). University Hospital Arnau de Vilanova. Vascular and Renal Translational Research Group. IRBLleida. University of Lleida
| | - Francesc Purroy
- Stroke Unit. University Hospital Arnau de Vilanova. Clinical Neurosciences Group. IRBLleida. University of Lleida
| | - Manuel Sánchez-de-la-Torre
- Respiratory Department. University Hospital Arnau de Vilanova-Santa Maria. Translational Research in Respiratory Medicine. IRBLleida. University of Lleida.,Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII)
| | - Reinald Pamplona
- Department of Experimental Medicine. IRBLleida. University of Lleida
| | - Eva Miquel
- Borges Blanques Primary Health Care Unit
| | - Mohsen Kerkeni
- Laboratory of Biochemistry, LR12ES05, Faculty of Medicine, University of Monastir
| | - Cristina Hernández
- Endocrinology and Nutrition Department, University Hospital Vall d'Hebron. Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca (VHIR). Universitat Autònoma de Barcelona.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII)
| | - Rafael Simó
- Endocrinology and Nutrition Department, University Hospital Vall d'Hebron. Diabetes and Metabolism Research Unit, Vall d'Hebron Institut de Recerca (VHIR). Universitat Autònoma de Barcelona.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII)
| | - Albert Lecube
- Endocrinology and Nutrition Department. University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) research group. IRBLleida. University of Lleida.,Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII)
| | | | | | - Marta Hernández
- Endocrinology and Nutrition Department. University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) research group. IRBLleida. University of Lleida
| | - Ferran Rius
- Endocrinology and Nutrition Department. University Hospital Arnau de Vilanova. Obesity, Diabetes and Metabolism (ODIM) research group. IRBLleida. University of Lleida
| | - Dinora Polanco
- Respiratory Department. University Hospital Arnau de Vilanova-Santa Maria. Translational Research in Respiratory Medicine. IRBLleida. University of Lleida
| | - Ferran Barbé
- Respiratory Department. University Hospital Arnau de Vilanova-Santa Maria. Translational Research in Respiratory Medicine. IRBLleida. University of Lleida.,Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII)
| | - Gerard Torres
- Respiratory Department. University Hospital Arnau de Vilanova-Santa Maria. Translational Research in Respiratory Medicine. IRBLleida. University of Lleida.,Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII)
| | - Guillermo Suárez
- Respiratory Department. University Hospital Arnau de Vilanova-Santa Maria. Translational Research in Respiratory Medicine. IRBLleida. University of Lleida.,Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII)
| | | | - Mariona Jové
- Department of Experimental Medicine. IRBLleida. University of Lleida
| | - Laura Colàs-Campàs
- Stroke Unit. University Hospital Arnau de Vilanova. Clinical Neurosciences Group. IRBLleida. University of Lleida
| | - Ikram Benabdelhak
- Stroke Unit. University Hospital Arnau de Vilanova. Clinical Neurosciences Group. IRBLleida. University of Lleida
| | | | | | - José Manuel Valdivielso
- Unit for the Detection and Treatment of Atherothrombotic Diseases (UDETMA V&R). University Hospital Arnau de Vilanova. Vascular and Renal Translational Research Group. IRBLleida. University of Lleida
| | - Marcelino Bermúdez-López
- Unit for the Detection and Treatment of Atherothrombotic Diseases (UDETMA V&R). University Hospital Arnau de Vilanova. Vascular and Renal Translational Research Group. IRBLleida. University of Lleida
| | - Montse Martínez-Alonso
- Unit for the Detection and Treatment of Atherothrombotic Diseases (UDETMA V&R). University Hospital Arnau de Vilanova. Vascular and Renal Translational Research Group. IRBLleida. University of Lleida
| |
Collapse
|
47
|
Berry JD, Mehta A, Lin K, Ayers CR, Carroll T, Pandey A, Garside DB, Daviglus ML, Yuan C, Lloyd-Jones DM. Association of Long-Term Risk Factor Levels With Carotid Atherosclerosis: The Chicago Healthy Aging Magnetic Resonance Imaging Plaque Study (CHAMPS). Circ Cardiovasc Imaging 2019; 12:e009226. [PMID: 31522549 DOI: 10.1161/circimaging.119.009226] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Absence of cardiovascular risk factors (RF) in young adulthood is associated with a lower risk for cardiovascular disease. However, it is unclear if low RF burden in young adulthood decreases the quantitative burden and qualitative features of atherosclerosis. METHODS Multi-contrast carotid magnetic resonance imaging was performed on 440 Chicago Healthy Aging Study participants in 2009 to 2011, whose RF (total cholesterol, blood pressure, diabetes mellitus, and smoking) were measured in 1967 to 1973. Participants were divided into 4 groups: low-risk (with total cholesterol <200 mg/dL and no treatment, blood pressure <120/80 mm Hg and no treatment, no smoking, and no diabetes mellitus), 0 high RF but some RF unfavorable (≥1 RF above low-risk threshold but below high-risk threshold), 1 high RF (total cholesterol ≥240 mg/dL or treated, blood pressure ≥140/90 or treated, diabetes mellitus, or smoking), and 2 or more high RF. Association of baseline RF status with carotid atherosclerosis (overall mean carotid wall thickness and lipid-rich necrotic core) at follow-up was assessed. RESULTS Among 424 participants with evaluable carotid magnetic resonance images, the mean age was 32 years at baseline and 73 years at follow-up; 67% were male, 86% white, and 36% were low-risk at baseline. Two or more high RF status was associated with higher carotid wall thickness (0.99±0.11 mm) and lipid-rich necrotic core prevalence (30%), as compared with low-risk group (0.94±0.09 mm and 17%, respectively). Each increment in baseline RF status was associated with higher carotid wall thickness (β-coefficient, 0.015; 95% CI, 0.004-0.026) and with higher lipid-rich necrotic core prevalence at older age (odds ratio, 1.26; 95% CI, 1.00-1.58) in models adjusted for baseline RF and demographics. CONCLUSIONS RF status in young adulthood is associated with the burden and quality of carotid atherosclerosis in older age suggesting that the decades-long protective effect of low-risk status might be mediated through a lower burden of quantitative and qualitative features of atherosclerotic plaque.
Collapse
Affiliation(s)
- Jarett D Berry
- Division of Cardiology, Department of Internal Medicine (J.D.B., A.P.), UT Southwestern Medical Center, Dallas, TX
| | - Anurag Mehta
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA (A.M.)
| | - Kai Lin
- Department of Radiology (K.L.), Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Colby R Ayers
- Department of Clinical Sciences (C.R.A.), UT Southwestern Medical Center, Dallas, TX
| | | | - Ambarish Pandey
- Division of Cardiology, Department of Internal Medicine (J.D.B., A.P.), UT Southwestern Medical Center, Dallas, TX
| | - Daniel B Garside
- Institute for Minority Health Research, University of Illinois College of Medicine, Chicago (D.B.G., M.L.D.)
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois College of Medicine, Chicago (D.B.G., M.L.D.)
| | - Chun Yuan
- Department of Radiology, University of Washington School of Medicine, Seattle (C.Y.)
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine (D.M.L.-J.), Northwestern University Feinberg School of Medicine, Chicago, IL
| |
Collapse
|
48
|
Visscher M, Moerman AM, Burgers PC, Van Beusekom HMM, Luider TM, Verhagen HJM, Van der Steen AFW, Van der Heiden K, Van Soest G. Data Processing Pipeline for Lipid Profiling of Carotid Atherosclerotic Plaque with Mass Spectrometry Imaging. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2019; 30:1790-1800. [PMID: 31250318 PMCID: PMC6695360 DOI: 10.1007/s13361-019-02254-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 04/25/2019] [Accepted: 05/20/2019] [Indexed: 05/09/2023]
Abstract
Atherosclerosis is a lipid and inflammation-driven disease of the arteries that is characterized by gradual buildup of plaques in the vascular wall. A so-called vulnerable plaque, consisting of a lipid-rich necrotic core contained by a thin fibrous cap, may rupture and trigger thrombus formation, which can lead to ischemia in the heart (heart attack) or in the brain (stroke). In this study, we present a protocol to investigate the lipid composition of advanced human carotid plaques using matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging (MSI), providing a framework that should enable the discrimination of vulnerable from stable plaques based on lipid composition. We optimized the tissue preparation and imaging methods by systematically analyzing data from three specimens: two human carotid endarterectomy samples (advanced plaque) and one autopsy sample (early stage plaque). We show a robust data reduction method and evaluate the variability of the endarterectomy samples. We found diacylglycerols to be more abundant in a thrombotic area compared to other plaque areas and could distinguish advanced plaque from early stage plaque based on cholesteryl ester composition. We plan to use this systematic approach to analyze a larger dataset of carotid atherosclerotic plaques.
Collapse
Affiliation(s)
- Mirjam Visscher
- Department of Biomedical Engineering, Thorax Center, Erasmus MC, Rotterdam, The Netherlands.
| | - Astrid M Moerman
- Department of Biomedical Engineering, Thorax Center, Erasmus MC, Rotterdam, The Netherlands
| | - Peter C Burgers
- Department of Neurology, Laboratory of Neuro-Oncology, Erasmus MC, Rotterdam, The Netherlands
| | - Heleen M M Van Beusekom
- Department of Experimental Cardiology, Thorax Center, Erasmus MC, Rotterdam, The Netherlands
| | - Theo M Luider
- Department of Neurology, Laboratory of Neuro-Oncology, Erasmus MC, Rotterdam, The Netherlands
| | - Hence J M Verhagen
- Department of Vascular and Endovascular Surgery, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Antonius F W Van der Steen
- Department of Biomedical Engineering, Thorax Center, Erasmus MC, Rotterdam, The Netherlands
- Medical Delta, Delft, Rotterdam, The Netherlands
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Kim Van der Heiden
- Department of Biomedical Engineering, Thorax Center, Erasmus MC, Rotterdam, The Netherlands
| | - Gijs Van Soest
- Department of Biomedical Engineering, Thorax Center, Erasmus MC, Rotterdam, The Netherlands
| |
Collapse
|
49
|
Wang T, Qiao H, Xu H, Xu D, Liu G, Yuan C, Zhao X. Identification of carotid non-hemorrhagic lipid-rich necrotic core by magnetization-prepared rapid acquisition gradient-echo imaging: Validation by contrast-enhanced T1 weighted imaging. Magn Reson Imaging 2019; 63:155-158. [PMID: 31425806 DOI: 10.1016/j.mri.2019.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 05/08/2019] [Accepted: 08/15/2019] [Indexed: 11/15/2022]
Affiliation(s)
- Tao Wang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Huimin Xu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Dongxiang Xu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Gaifen Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China.
| |
Collapse
|
50
|
Lipid-Rich Necrotic Core of Basilar Artery Atherosclerotic Plaque: Contrast-Enhanced Black Blood Imaging on Vessel Wall Imaging. Diagnostics (Basel) 2019; 9:diagnostics9030069. [PMID: 31269676 PMCID: PMC6787719 DOI: 10.3390/diagnostics9030069] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 06/30/2019] [Accepted: 07/01/2019] [Indexed: 11/30/2022] Open
Abstract
Purpose: We wished to evaluate the lipid-rich necrotic core (LRNC) using contrast-enhanced T1-weighted (CE-T1W) black-blood (BB) imaging for vessel walls. Methods: Ninety-five patients with basilar artery (BA) stenosis who underwent magnetic resonance angiography between January 2016 and August 2018 were enrolled into this present study. CE-T1W BB imaging was considered as a reference method for identifying an LRNC. Results: Ten (10.5%) patients were identified as having an LRNC on CE-T1W BB imaging. Of these patients, 9 had acute symptoms. The extent of stenosis in patients with an LRNC on CE-T1W BB imaging was significantly greater than that of patients without an LRNC (p < 0.001). The maximum wall thickness in patients with an LRNC on CE-T1W imaging was significantly thicker than that of patients without an LRNC (p = 0.008). Conclusions: Identification of an LRNC on CE-T1W BB imaging was associated with high-grade stenosis and massive plaque burden from BA atherosclerosis.
Collapse
|