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Jones B, Rane N, Finnegan M, Quest R, Abdel-Malek M, Biasiolli L, Shalhoub J, Davies A, Loyse N, Bassett P, Ray KK, Cegla J. Effect of evolocumab on carotid plaque composition in asymptomatic carotid artery stenosis (EVOCAR-1) using magnetic resonance imaging. J Clin Lipidol 2024; 18:e855-e866. [PMID: 39278770 DOI: 10.1016/j.jacl.2024.06.004] [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: 03/26/2024] [Revised: 05/22/2024] [Accepted: 06/11/2024] [Indexed: 09/18/2024]
Abstract
BACKGROUND AND AIMS To determine the effect of evolocumab treatment in patients with asymptomatic carotid artery stenosis ≥50% on carotid plaque morphology and composition, as determined by magnetic resonance imaging. METHODS We conducted a double-blind randomized controlled trial in patients with asymptomatic carotid artery plaque with ≥50% stenosis and low-density lipoprotein-associated cholesterol (LDL-C) ≥1.8 mmol/L, despite standard lipid-lowering therapy, with 12 months of evolocumab or placebo injection every two weeks. The primary endpoint was the between group difference in the absolute change from baseline in carotid plaque lipid-rich necrotic core (LRNC), assessed by carotid magnetic resonance. RESULTS Due to interrupted recruitment during the COVID-19 pandemic, 33 patients (36% female) were randomised, which was less than the target of 52. Mean age was 68.7 years (SD, 8.5) and baseline LDL-C 2.4 mmol/L (SD, 0.7). LDL-C was reduced with evolocumab to 0.8 mmol/L (SD, 0.5) vs 2.2 mmol/L (SD, 0.7) with placebo at 3 months (between group absolute difference -1.3 mmol/L [95% confidence interval [CI], -1.7 to -0.9], p < 0.001). Evolocumab treatment was associated with a favourable change in LRNC at 12 months of -16 mm3 (SD, 54) whereas the placebo group showed -4 mm3 (SD, 44). Between group differences did not show statistical significance with a placebo-adjusted LRNC change of -17 mm3 ([95% CI, -45 to 12], p = 0.25). Percentage carotid plaque LRNC also numerically reduced at 12 months, however this did not reach statistical significance (-2.4% vessel wall volume [95% CI, -5.7 to 0.9], p = 0.16). CONCLUSION Intensive LDL-C lowering with the addition of evolocumab to maximally tolerated lipid-lowering therapy did not lead to a statistically significant change in vulnerable plaque phenotype characteristics in patients with asymptomatic carotid artery stenosis, but the study was underpowered due to under-recruitment in the context of the COVID-19 pandemic.
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Affiliation(s)
- Ben Jones
- Lipids and Cardiovascular Risk Service, Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK (Drs Jones, Abdel-Malek, Loyse, and Ray, and Cegla); Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK (Drs Jones and Cegla)
| | - Neil Rane
- Department of Imaging, Imperial College Healthcare NHS Trust, London, UK (Drs Rane, Finnegan, and Quest)
| | - Mary Finnegan
- Department of Imaging, Imperial College Healthcare NHS Trust, London, UK (Drs Rane, Finnegan, and Quest); Department of Bioengineering, Imperial College London, London, UK (Drs Finnegan and Quest)
| | - Rebecca Quest
- Department of Imaging, Imperial College Healthcare NHS Trust, London, UK (Drs Rane, Finnegan, and Quest); Department of Bioengineering, Imperial College London, London, UK (Drs Finnegan and Quest)
| | - Mariana Abdel-Malek
- Lipids and Cardiovascular Risk Service, Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK (Drs Jones, Abdel-Malek, Loyse, and Ray, and Cegla)
| | - Luca Biasiolli
- OCMR Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK (Dr Biasiolli)
| | - Joseph Shalhoub
- Section of Vascular Surgery, Division of Surgery, Department of Surgery & Cancer, Imperial College London, UK (Dr Davies); Imperial Vascular Unit, Imperial College Healthcare NHS Trust, London, UK (Drs Shalhoub and Davies)
| | - Alun Davies
- Section of Vascular Surgery, Division of Surgery, Department of Surgery & Cancer, Imperial College London, UK (Dr Davies); Imperial Vascular Unit, Imperial College Healthcare NHS Trust, London, UK (Drs Shalhoub and Davies)
| | - Naomi Loyse
- Lipids and Cardiovascular Risk Service, Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK (Drs Jones, Abdel-Malek, Loyse, and Ray, and Cegla)
| | | | - Kausik K Ray
- Lipids and Cardiovascular Risk Service, Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK (Drs Jones, Abdel-Malek, Loyse, and Ray, and Cegla); Department of Primary Care and Public Health, Imperial College London, London, UK (Dr Ray)
| | - Jaimini Cegla
- Lipids and Cardiovascular Risk Service, Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK (Drs Jones, Abdel-Malek, Loyse, and Ray, and Cegla); Division of Diabetes, Endocrinology and Metabolism, Imperial College London, London, UK (Drs Jones and Cegla).
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Nie Y, Lu N, Liao L, Liu Z, Gu A, Huang X, Tie C, Liu H, Huang Z, Xie G. Black-Blood Magnetization Prepared 2 Rapid Acquisition Gradient Echoes: A Fast and Three-Dimensional MR Black-Blood T 1 Mapping Technique for Quantitative Assessment of Atherosclerosis and Venous Thrombosis. J Magn Reson Imaging 2024; 60:1148-1162. [PMID: 38009385 DOI: 10.1002/jmri.29156] [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: 08/28/2023] [Revised: 11/14/2023] [Accepted: 11/15/2023] [Indexed: 11/28/2023] Open
Abstract
BACKGROUND Blood flow signals may be a confounder in quantifying T1 values of plaque or thrombus and how to realize black-blood T1 mapping remains a challenge task. PURPOSE To develop a fast and three-dimensional black-blood T1 mapping technique for quantitative assessment of atherosclerosis and venous thrombosis. STUDY TYPE Sequence development and optimization via phantoms and volunteers as well as pilot prospective. PHANTOM AND SUBJECTS Numerical simulations, a standard phantom, 8 healthy volunteers (mean age, 22 ± 1 years; 5 males), and 19 patients (mean age, 57 ± 14 years; 13 males) with atherosclerosis or venous thrombosis. FIELD STRENGTH/SEQUENCE 3T/inversion recovery spin-echo sequence (IR-SE), magnetization prepared 2 rapid acquisition gradient echoes (MP2RAGE), and black-blood prepared MP2RAGE (BB-MP2RAGE). ASSESSMENT The black-blood preparation (i.e., delay alternating with nutation for tailored excitation, DANTE) was incorporated into MP2RAGE for black-blood T1 mapping. The BB-MP2RAGE was optimized numerically based on the Bloch equation, and then the phantom study was performed to verify the accuracy of T1 mapping by BB-MP2RAGE against IR-SE and MP2RAGE. Preliminary clinical validation was prospectively performed to assess the flow suppression effect and its potential application in plaque and thrombosis identification. STATISTICAL TESTS Pearson correlation test, Bland-Altman analysis, paired t-test, and intraclass correlation coefficient. A P value <0.05 indicates a statistically significant difference. RESULTS Phantom experiments showed comparable accuracy of T1 maps by BB-MP2RAGE with IR-SE and MP2RAGE (all r2 > 0.99); Compared to MP2RAGE, BB-MP2RAGE effectively nulled the blood flow signals, and had a significant improvement in contrast-to-noise ratio between static tissue and blood (250.5 ± 66.6 vs. 91.9 ± 35.9). BB-MP2RAGE can quantify plaque or thrombus T1 relaxation time with blood flow signal suppression. DATA CONCLUSION Accurate T1 mapping with sufficient blood flow suppression was achieved by BB-MP2RAGE. BB-MP2RAGE has the potential to quantitatively characterize atherosclerosis and venous thrombosis. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Yuhui Nie
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Na Lu
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Liping Liao
- Department of Radiology, The First People's Hospital of Qinzhou, Qinzhou, China
| | - Zeping Liu
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Anyan Gu
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xin Huang
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Changjun Tie
- Paul C. Lauterbur Imaging Center, Shenzhen Institutes Advanced Technology, Shenzhen, Guangdong, China
| | - Hongyan Liu
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zehe Huang
- Department of Radiology, The First People's Hospital of Qinzhou, Qinzhou, China
| | - Guoxi Xie
- School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
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Gemmete JJ. Vessel Wall Characterization Using Quantitative MR Imaging. Neuroimaging Clin N Am 2024; 34:281-292. [PMID: 38604712 DOI: 10.1016/j.nic.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
MR imaging's exceptional capabilities in vascular imaging stem from its ability to visualize and quantify vessel wall features, such as plaque burden, composition, and biomechanical properties. The application of advanced MR imaging techniques, including two-dimensional and three-dimensional black-blood MR imaging, T1 and T2 relaxometry, diffusion-weighted imaging, and dynamic contrast-enhanced MR imaging, wall shear stress, and arterial stiffness, empowers clinicians and researchers to explore the intricacies of vascular diseases. This array of techniques provides comprehensive insights into the development and progression of vascular pathologies, facilitating earlier diagnosis, targeted treatment, and improved patient outcomes in the management of vascular health.
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Affiliation(s)
- Joseph J Gemmete
- Department of Radiology, Michigan Medicine, 1500 East Medican Center Drive, UH B1D 328, Ann Arbor, MI 48109.
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Guimarães J, de Almeida J, Mendes PL, Ferreira MJ, Gonçalves L. Advancements in non-invasive imaging of atherosclerosis: Future perspectives. J Clin Lipidol 2024; 18:e142-e152. [PMID: 38142178 DOI: 10.1016/j.jacl.2023.11.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 11/11/2023] [Accepted: 11/14/2023] [Indexed: 12/25/2023]
Abstract
Atherosclerosis is a chronic inflammatory disease characterized by the buildup of plaques in arterial walls, leading to cardiovascular diseases and high morbidity and mortality rates worldwide. Non-invasive imaging techniques play a crucial role in evaluating patients with suspected or established atherosclerosis. However, there is a growing body of evidence suggesting the need to visualize the underlying processes of plaque progression and rupture to enhance risk stratification. This review explores recent advancements in non-invasive assessment of atherosclerosis, focusing on computed tomography, magnetic resonance imaging, and nuclear imaging. These advancements provide valuable insights into the assessment and management of atherosclerosis, potentially leading to better risk stratification and improved patient outcomes.
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Affiliation(s)
- Joana Guimarães
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal.
| | - José de Almeida
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal
| | - Paulo Lázaro Mendes
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal
| | - Maria João Ferreira
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal; Faculty of Medicine, Coimbra's University, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal
| | - Lino Gonçalves
- Cardiology Department, Coimbra's Hospital and University Center, Praceta Mota Pinto, 3000-561 Coimbra, Portugal; Faculty of Medicine, Coimbra's University, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal
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Dai Y, Hu W, Wu G, Wu D, Zhu M, Luo Y, Wang J, Zhou Y, Hu P. Grading Clear Cell Renal Cell Carcinoma Grade Using Diffusion Relaxation Correlated MR Spectroscopic Imaging. J Magn Reson Imaging 2024; 59:699-710. [PMID: 37209407 DOI: 10.1002/jmri.28777] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/22/2023] Open
Abstract
BACKGROUND Clear cell renal cell carcinoma (ccRCC) is the most common subtype of RCC, and accurate grading is crucial for prognosis and treatment selection. Biopsy is the reference standard for grading, but MRI methods can improve and complement the grading procedure. PURPOSE Assess the performance of diffusion relaxation correlation spectroscopic imaging (DR-CSI) in grading ccRCC. STUDY TYPE Prospective. SUBJECTS 79 patients (age: 58.1 +/- 11.5 years; 55 male) with ccRCC confirmed by histopathology (grade 1, 7; grade 2, 45; grade 3, 18; grade 4, 9) following surgery. FIELD STRENGTH/SEQUENCE 3.0 T MRI scanner. DR-CSI with a diffusion-weighted echo-planar imaging sequence and T2-mapping with a multi-echo spin echo sequence. ASSESSMENT DR-CSI results were analyzed for the solid tumor regions of interest using spectrum segmentation with five sub-region volume fraction metrics (VA , VB , VC , VD , and VE ). The regulations for spectrum segmentation were determined based on the D-T2 spectra of distinct macro-components. Tumor size, voxel-wise T2, and apparent diffusion coefficient (ADC) values were obtained. Histopathology assessed tumor grade (G1-G4) for each case. STATISTICAL TESTS One-way ANOVA or Kruskal-Wallis test, Spearman's correlation (coefficient, rho), multivariable logistic regression analysis, receiver operating characteristic curve analysis, and DeLong's test. Significance criteria: P < 0.05. RESULTS Significant differences were found in ADC, T2, DR-CSI VB , and VD among the ccRCC grades. Correlations were found for ccRCC grade to tumor size (rho = 0.419), age (rho = 0.253), VB (rho = 0.553) and VD (rho = -0.378). AUC of VB was slightly larger than ADC in distinguishing low-grade (G1-G2) from high-grade (G3-G4) ccRCC (0.801 vs. 0.762, P = 0.406) and G1 from G2 to G4 (0.796 vs. 0.647, P = 0.175), although not significant. Combining VB , VD , and VE had better diagnostic performance than combining ADC and T2 for differentiating G1 from G2-G4 (AUC: 0.814 vs 0.643). DATA CONCLUSION DR-CSI parameters are correlated with ccRCC grades, and may help to differentiate ccRCC grades. EVIDENCE LEVEL 2 TECHNICAL EFFICACY STAGE: 2.
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Affiliation(s)
- Yongming Dai
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - Wentao Hu
- Department of Radiology, Renji hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Guangyu Wu
- Department of Radiology, Renji hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Dongmei Wu
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Mengying Zhu
- Department of Radiology, Renji hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuansheng Luo
- Department of Radiology, Renji hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jieying Wang
- Clinical Research Center, Renji hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yan Zhou
- Department of Radiology, Renji hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Peng Hu
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
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Lao G, Liu Q, Li Z, Guan X, Xu X, Zhang Y, Wei H. Sub-voxel quantitative susceptibility mapping for assessing whole-brain magnetic susceptibility from ages 4 to 80. Hum Brain Mapp 2023; 44:5953-5971. [PMID: 37721369 PMCID: PMC10619378 DOI: 10.1002/hbm.26487] [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: 05/06/2023] [Revised: 08/17/2023] [Accepted: 09/06/2023] [Indexed: 09/19/2023] Open
Abstract
The evolution of magnetic susceptibility of the brain is mainly determined by myelin in white matter (WM) and iron deposition in deep gray matter (DGM). However, existing imaging techniques have limited abilities to simultaneously quantify the myelination and iron deposition within a voxel throughout brain development and aging. For instance, the temporal trajectories of iron in the brain WM and myelination in DGM have not been investigated during the aging process. This study aimed to map the age-related iron and myelin changes in the whole brain, encompassing myelin in DGM and iron deposition in WM, using a novel sub-voxel quantitative susceptibility mapping (QSM) method. To achieve this, a cohort of 494 healthy adults (18-80 years old) was studied. The sub-voxel QSM method was employed to obtain the paramagnetic and diamagnetic susceptibility based on the approximatedR 2 ' map from acquiredR 2 * map. The linear relationship betweenR 2 * andR 2 ' maps was established from the regression coefficients on a small cohort data acquired with both 3D gradient recalled echo data andR 2 mapping. Large cohort sub-voxel susceptibility maps were used to create longitudinal and age-specific atlases via group-wise registration. To explore the differential developmental trajectories in the DGM and WM, we employed nonlinear models including exponential and Poisson functions, along with generalized additive models. The constructed atlases reveal the iron accumulation in the posterior part of the putamen and the gradual myelination process in the globus pallidus with aging. Interestingly, the developmental trajectories show that the rate of myelination differs among various DGM regions. Furthermore, the process of myelin synthesis is paralleled by an associated pattern of iron accumulation in the primary WM fiber bundles. In summary, our study offers significant insights into the distinctive developmental trajectories of iron in the brain's WM and myelination/demyelination in the DGM in vivo. These findings highlight the potential of using sub-voxel QSM to uncover new perspectives in neuroscience and improve our understanding of whole-brain myelination and iron deposit processes across the lifespan.
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Affiliation(s)
- Guoyan Lao
- School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Qiangqiang Liu
- Department of Neurosurgery, Clinical Neuroscience Center Comprehensive Epilepsy Unit, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhenghao Li
- School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
| | - Xiaojun Guan
- Department of Radiology, The Second Affiliated Hospital of Zhejiang UniversityZhejiang University School of MedicineHangzhouChina
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang UniversityZhejiang University School of MedicineHangzhouChina
| | - Yuyao Zhang
- School of Information and Science and TechnologyShanghaiTech UniversityShanghaiChina
| | - Hongjiang Wei
- School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiChina
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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.
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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
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de Buck MHS, Jezzard P, Frost R, Randell C, Hurst K, Choudhury RP, Robson MD, Biasiolli L. 10-channel phased-array coil for carotid wall MRI at 3T. PLoS One 2023; 18:e0288529. [PMID: 37556496 PMCID: PMC10411804 DOI: 10.1371/journal.pone.0288529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 06/27/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Accurate assessment of plaque accumulation near the carotid bifurcation is important for the effective prevention and treatment of stroke. However, vessel and plaque delineation using MRI can be limited by low contrast-to-noise ratio (CNR) and long acquisition times. In this work, a 10-channel phased-array receive coil design for bilateral imaging of the carotid bifurcation using 3T MRI is proposed. METHODS The proposed 10-channel receive coil was compared to a commercial 4-channel receive coil configuration using data acquired from phantoms and healthy volunteers (N = 9). The relative performance of the coils was assessed, by comparing signal-to-noise ratio (SNR), noise correlation, g-factor noise amplification, and the CNR between vessel wall and lumen using black-blood sequences. Patient data were acquired from 12 atherosclerotic carotid artery disease patients. RESULTS The 10-channel coil consistently provided substantially increased SNR in phantoms (+77 ± 27%) and improved CNR in healthy carotid arteries (+62 ± 11%), or reduced g-factor noise amplification. Patient data showed excellent delineation of atherosclerotic plaque along the length of the carotid bifurcation using the 10-channel coil. CONCLUSIONS The proposed 10-channel coil design allows for improved visualization of the carotid arteries and the carotid bifurcation and increased parallel imaging acceleration factors relative to a commercial 4-channel coil design.
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Affiliation(s)
- Matthijs H. S. de Buck
- Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Peter Jezzard
- Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Robert Frost
- Wellcome Centre for Integrative Neuroimaging, FMRIB Division, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States of America
- Department of Radiology, Harvard Medical School, Boston, MA, United States of America
| | | | - Katherine Hurst
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Robin P. Choudhury
- Acute Vascular Imaging Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Matthew D. Robson
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Perspectum, Gemini One, John Smith Drive, Oxford, United Kingdom
| | - Luca Biasiolli
- Acute Vascular Imaging Centre, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
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Wang Y, Liu X, Wang J, Wang Y, Qi H, Kong X, Liu D, Liu J, Zheng H, Xiong F, Zhang L, Fu X, Zhang X, Guo R, Qiao H, Chen Z, Si D, Chen H. Simultaneous T1, T2, and T2* Mapping of Carotid Plaque: The SIMPLE* Technique. Radiology 2023; 307:e222061. [PMID: 36853181 DOI: 10.1148/radiol.222061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Background Quantitative T1, T2, and T2* measurements of carotid atherosclerotic plaque are important in evaluating plaque vulnerability and monitoring its progression. Purpose To develop a sequence to simultaneously quantify T1, T2, and T2* of carotid plaque. Materials and Methods The simultaneous T1, T2, and T2* mapping of carotid plaque (SIMPLE*) sequence is composed of three modules with different T2 preparation pulses, inversion-recovery pulses, and acquisition schemas. Single-echo data were used for T1 and T2 quantification, while the multiecho (ME) data were used for T2* quantification. The quantitative accuracy of SIMPLE* was tested in a phantom study by comparing its measurements with those of reference standard sequences. In vivo feasibility of the technique was prospectively evaluated between November 2020 and February 2022 in healthy volunteers and participants with carotid atherosclerotic plaque. The Pearson or Spearman correlation test, Student t test, and Wilcoxon rank-sum test were used. Results T1, T2, and T2* estimated with SIMPLE* strongly correlated with inversion-recovery spin-echo (SE) (correlation coefficient [r] = 0.99), ME-SE (r = 0.99), and ME gradient-echo (r = 0.99) sequences in the phantom study. In five healthy volunteers (mean age, 25 years ± 3 [SD]; three women), measurements were similar between SIMPLE* and modified Look-Locker inversion recovery, or MOLLI (1151 msec ± 71 vs 1098 msec ± 64; P = .14), ME turbo SE (31 msec ± 1 vs 31 msec ± 1; P = .32), and ME turbo field echo (24 msec ± 2 vs 25 msec ± 2; P = .19). In 18 participants with carotid plaque (mean age, 65 years ± 9; 16 men), quantitative T1, T2, and T2* of plaque components were consistent with their signal characteristics on multicontrast images. Conclusion A quantitative technique for simultaneous T1, T2, and T2* mapping of carotid plaque with 100-mm3 coverage and 0.8-mm3 resolution was developed using the proposed SIMPLE* sequence and demonstrated high accuracy and in vivo feasibility. © RSNA, 2023 Supplemental material is available for this article.
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Affiliation(s)
- Yajie Wang
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Xiaoming Liu
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Jing Wang
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Yishi Wang
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Haikun Qi
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Xiangchuang Kong
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Dingxi Liu
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Jia Liu
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Hanpei Zheng
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Fu Xiong
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Lan Zhang
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Xiaona Fu
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Xinli Zhang
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Rui Guo
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Huiyu Qiao
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Zhensen Chen
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Dongyue Si
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
| | - Huijun Chen
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Haidian District, Beijing, China 100084 (Yajie Wang, H. Qiao, D.S., H.C.); Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China (X.L., J.W., X.K., D.L., J.L., H.Z., F.X., L.Z., X.F., X.Z.); Philips Healthcare, Beijing, China (Yishi Wang); School of Biomedical Engineering, ShanghaiTech University, Shanghai, China (H. Qi); School of Medical Technology, Beijing Institution of Technology, Beijing, China (R.G.); and Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China (Z.C.)
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Dai Y, Jia X, Liao YP, Liu J, Deng J. Joint k-TE Space Image Reconstruction and Data Fitting for T2 Mapping. ARXIV 2023:arXiv:2301.04682v1. [PMID: 36713240 PMCID: PMC9882589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Objectives To develop a joint k-TE reconstruction algorithm to reconstruct the T2-weighted (T2W) images and T2 map simultaneously. Materials and Methods The joint k-TE reconstruction model was formulated as an optimization problem subject to a self-consistency condition of the exponential decay relationship between the T2W images and T2 map. The objective function included a data fidelity term enforcing the agreement between the solution and the measured k-space data, together with a spatial regularization term on image properties of the T2W images. The optimization problem was solved using Alternating-Direction Method of Multipliers (ADMM). We tested the joint k-TE method in phantom data and healthy volunteer scans with fully-sampled and under-sampled k-space lines. Image quality of the reconstructed T2W images and T2 map, and the accuracy of T2 measurements derived by the joint k- TE and the conventional signal fitting method were compared. Results The proposed method improved image quality with reduced noise and less artifacts on both T2W images and T2 map, and increased measurement consistency in T2 relaxation time measurements compared with the conventional method in all data sets. Conclusions The proposed reconstruction method outperformed the conventional magnitude image-based signal fitting method in image quality and stability of quantitative T2 measurements.
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Affiliation(s)
- Yan Dai
- Department of Radiation Oncology, University of Texas Southwestern Medical Centre, TX, USA
| | - Xun Jia
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, MD, USA
| | - Yen-Peng Liao
- Department of Radiation Oncology, University of Texas Southwestern Medical Centre, TX, USA
| | - Jiaen Liu
- Advanced Imaging Research Center, University of Texas Southwestern Medical Centre, TX, USA
| | - Jie Deng
- Department of Radiation Oncology, University of Texas Southwestern Medical Centre, TX, USA
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Johnston RD, Ghasemi M, Lally C. Inverse material parameter estimation of patient-specific finite element models at the carotid bifurcation: The impact of excluding the zero-pressure configuration and residual stress. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING 2023; 39:e3663. [PMID: 36443952 PMCID: PMC10078390 DOI: 10.1002/cnm.3663] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 09/17/2022] [Accepted: 11/07/2022] [Indexed: 06/16/2023]
Abstract
The carotid bifurcation experiences a complex loading environment due to its anatomical structure. Previous in-vivo material parameter estimation methods often use simplified model geometries, isotropic hyperelastic constitutive equations or neglect key aspects of the vessel, such as the zero-pressure configuration or residual stress, all of which have independently been shown to alter the stress environment of the vessel wall. Characterizing the location of high stress in the vessel wall has often been proposed as a potential indicator of structural weakness. However, excluding the afore-mentioned zero-pressure configuration, residual stress and patient-specific material parameters can lead to an incorrect estimation of the true stress values observed, meaning that stress alone as a risk indicator of rupture is insufficient. In this study, we investigate how the estimated material parameters and overall stress distributions in geometries of carotid bifurcations, extracted from in-vivo MR images, alter with the inclusion of the zero-pressure configuration and residual stress. This approach consists of the following steps: (1) geometry segmentation and hexahedral meshing from in-vivo magnetic resonance images (MRI) at two known phases; (2) computation of the zero-pressure configuration and the associated residual stresses; (3) minimization of an objective function built on the difference between the stress states of an "almost true" stress field at two known phases and a "deformed" stress field by altering the input material parameters to determine patient-specific material properties; and (4) comparison of the stress distributions throughout these carotid bifurcations for all cases with estimated material parameters. This numerical approach provides insights into the need for estimation of both the zero-pressure configuration and residual stress for accurate material property estimation and stress analysis for the carotid bifurcation, establishing the reliability of stress as a rupture risk metric.
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Affiliation(s)
- Robert D. Johnston
- Trinity Centre for Biomedical EngineeringTrinity College DublinDublin 2Ireland
- Department of Mechanical, Manufacturing and Biomedical EngineeringSchool of Engineering, Trinity College DublinDublin 2Ireland
| | - Milad Ghasemi
- Trinity Centre for Biomedical EngineeringTrinity College DublinDublin 2Ireland
- Department of Mechanical, Manufacturing and Biomedical EngineeringSchool of Engineering, Trinity College DublinDublin 2Ireland
| | - Caitríona Lally
- Trinity Centre for Biomedical EngineeringTrinity College DublinDublin 2Ireland
- Department of Mechanical, Manufacturing and Biomedical EngineeringSchool of Engineering, Trinity College DublinDublin 2Ireland
- Advanced Materials and Bioengineering Research Centre (AMBER)Royal College of Surgeons in Ireland, Trinity College DublinDublinIreland
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12
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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.
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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
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Ghasemi M, Johnston RD, Lally C. Development of a Collagen Fibre Remodelling Rupture Risk Metric for Potentially Vulnerable Carotid Artery Atherosclerotic Plaques. Front Physiol 2021; 12:718470. [PMID: 34776999 PMCID: PMC8586512 DOI: 10.3389/fphys.2021.718470] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/22/2021] [Indexed: 11/24/2022] Open
Abstract
Atherosclerotic plaque rupture in carotid arteries can lead to stroke which is one of the leading causes of death or disability worldwide. The accumulation of atherosclerotic plaque in an artery changes the mechanical properties of the vessel. Whilst healthy arteries can continuously adapt to mechanical loads by remodelling their internal structure, particularly the load-bearing collagen fibres, diseased vessels may have limited remodelling capabilities. In this study, a local stress modulated remodelling algorithm is proposed to explore the mechanical response of arterial tissue to the remodelling of collagen fibres. This stress driven remodelling algorithm is used to predict the optimum distribution of fibres in healthy and diseased human carotid bifurcations obtained using Magnetic Resonance Imaging (MRI). In the models, healthy geometries were segmented into two layers: media and adventitia and diseased into four components: adventitia, media, plaque atheroma and lipid pool (when present in the MRI images). A novel meshing technique for hexahedral meshing of these geometries is also demonstrated. Using the remodelling algorithm, the optimum fibre patterns in various patient specific plaques are identified and the role that deviations from these fibre configurations in plaque vulnerability is shown. This study provides critical insights into the collagen fibre patterns required in carotid artery and plaque tissue to maintain plaque stability.
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Affiliation(s)
- Milad Ghasemi
- Trinity Centre for Biomedical Engineering, Trinity College Dublin, Dublin, Ireland
- Department of Mechanical, Manufacturing and Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin, Ireland
| | - Robert D. Johnston
- Trinity Centre for Biomedical Engineering, Trinity College Dublin, Dublin, Ireland
- Department of Mechanical, Manufacturing and Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin, Ireland
| | - Caitríona Lally
- Trinity Centre for Biomedical Engineering, Trinity College Dublin, Dublin, Ireland
- Department of Mechanical, Manufacturing and Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin, Ireland
- Advanced Materials and Bioengineering Research Centre (AMBER), Royal College of Surgeons in Ireland and Trinity College Dublin, Dublin, Ireland
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Coolen BF, Schoormans J, Gilbert G, Kooreman ES, de Winter N, Viessmann O, Zwanenburg JJM, Majoie CBLM, Strijkers GJ, Nederveen AJ, Siero JCW. Double delay alternating with nutation for tailored excitation facilitates banding-free isotropic high-resolution intracranial vessel wall imaging. NMR IN BIOMEDICINE 2021; 34:e4567. [PMID: 34076305 PMCID: PMC8459252 DOI: 10.1002/nbm.4567] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 04/26/2021] [Accepted: 05/15/2021] [Indexed: 06/12/2023]
Abstract
The purpose of this study was to evaluate the use of a double delay alternating with nutation for tailored excitation (D-DANTE)-prepared sequence for banding-free isotropic high-resolution intracranial vessel wall imaging (IC-VWI) and to compare its performance with regular DANTE in terms of signal-to-noise ratio (SNR) as well as cerebrospinal fluid (CSF) and blood suppression efficiency. To this end, a D-DANTE-prepared 3D turbo spin echo sequence was implemented by interleaving two separate DANTE pulse trains with different RF phase-cycling schemes, but keeping all other DANTE parameters unchanged, including the total number of pulses and total preparation time. This achieved a reduction of the banding distance compared with regular DANTE enabling banding-free imaging up to higher resolutions. Bloch simulations assuming static vessel wall and flowing CSF spins were performed to compare DANTE and D-DANTE in terms of SNR and vessel wall/CSF contrast. Similar image quality measures were assessed from measurements on 13 healthy middle-aged volunteers. Both simulation and in vivo results showed that D-DANTE had only slightly lower vessel wall/CSF and vessel wall/blood contrast-to-noise ratio values compared with regular DANTE, which originated from a 10%-15% reduction in vessel wall SNR but not from reduced CSF or blood suppression efficiency. As anticipated, IC-VWI acquisitions showed that D-DANTE can successfully remove banding artifacts compared with regular DANTE with equal scan time or DANTE preparation length. Moreover, application was demonstrated in a patient with an intracranial aneurysm, indicating improved robustness to slow flow artifacts compared with clinically available 3D turbo spin echo scans. In conclusion, D-DANTE provides banding artifact-free IC-VWI up to higher isotropic resolutions compared with regular DANTE. This allows for a more flexible choice of DANTE preparation parameters in high-resolution IC-VWI protocols.
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Affiliation(s)
- Bram F. Coolen
- Department of Biomedical Engineering & PhysicsAmsterdam UMCAmsterdamThe Netherlands
| | - Jasper Schoormans
- Department of Biomedical Engineering & PhysicsAmsterdam UMCAmsterdamThe Netherlands
| | | | - Ernst S. Kooreman
- Department of Biomedical Engineering & PhysicsAmsterdam UMCAmsterdamThe Netherlands
- Department of Radiation OncologyThe Netherlands Cancer InstituteAmsterdamThe Netherlands
| | - Naomi de Winter
- Department of Biomedical Engineering & PhysicsAmsterdam UMCAmsterdamThe Netherlands
| | - Olivia Viessmann
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical SchoolMassachusetts General HospitalCharlestownMassachusettsUSA
| | - Jaco J. M. Zwanenburg
- Department of Radiology, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | | | - Gustav J. Strijkers
- Department of Biomedical Engineering & PhysicsAmsterdam UMCAmsterdamThe Netherlands
| | - Aart J. Nederveen
- Department of Radiology & Nuclear MedicineAmsterdam UMCAmsterdamThe Netherlands
| | - Jeroen C. W. Siero
- Department of Radiology, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
- Spinoza Centre for NeuroimagingAmsterdamThe Netherlands
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15
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Moonen RPM, Coolen BF, Sluimer JC, Daemen MJAP, Strijkers GJ. Iron Oxide Nanoparticle Uptake in Mouse Brachiocephalic Artery Atherosclerotic Plaque Quantified by T 2-Mapping MRI. Pharmaceutics 2021; 13:pharmaceutics13020279. [PMID: 33669667 PMCID: PMC7922981 DOI: 10.3390/pharmaceutics13020279] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 02/15/2021] [Accepted: 02/17/2021] [Indexed: 12/29/2022] Open
Abstract
The purpose of our study was to monitor the iron oxide contrast agent uptake in mouse brachiocephalic artery (BCA) atherosclerotic plaques in vivo by quantitative T2-mapping magnetic resonance imaging (MRI). Female ApoE−/− mice (n = 32) on a 15-week Western-type diet developed advanced plaques in the BCA and were injected with ultra-small superparamagnetic iron oxides (USPIOs). Quantitative in vivo MRI at 9.4 T was performed with a Malcolm-Levitt (MLEV) prepared T2-mapping sequence to monitor the nanoparticle uptake in the atherosclerotic plaque. Ex vivo histology and particle electron paramagnetic resonance (pEPR) were used for validation. Longitudinal high-resolution in vivo T2-value maps were acquired with consistent quality. Average T2 values in the plaque decreased from a baseline value of 34.5 ± 0.6 ms to 24.0 ± 0.4 ms one day after injection and partially recovered to an average T2 of 27 ± 0.5 ms after two days. T2 values were inversely related to iron levels in the plaque as determined by ex vivo particle electron paramagnetic resonance (pEPR). We concluded that MRI T2 mapping facilitates a robust quantitative readout for USPIO uptake in atherosclerotic plaques in arteries near the mouse heart.
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Affiliation(s)
- Rik P. M. Moonen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands;
- CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands;
| | - Bram F. Coolen
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam Cardiovascular Sciences, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands;
| | - Judith C. Sluimer
- CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands;
- Department of Pathology, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands
| | - Mat J. A. P. Daemen
- Department of Pathology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam Cardiovascular Sciences, 1105 AZ Amsterdam, The Netherlands;
| | - Gustav J. Strijkers
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam Cardiovascular Sciences, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands;
- Correspondence: ; Tel.: +31-20-566-52-02
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16
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Truong M, Lennartsson F, Bibic A, Sundius L, Persson A, Siemund R, In’t Zandt R, Goncalves I, Wassélius J. Classifications of atherosclerotic plaque components with T1 and T2* mapping in 11.7 T MRI. Eur J Radiol Open 2021; 8:100323. [PMID: 33532518 PMCID: PMC7822939 DOI: 10.1016/j.ejro.2021.100323] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 01/04/2021] [Accepted: 01/05/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND AND AIMS Histopathology is the gold standard for analysis of atherosclerotic plaques but has drawbacks due to the destructive nature of the method. Ex vivo MRI is a non-destructive method to image whole plaques. Our aim was to use quantitative high field ex vivo MRI to classify plaque components, with histology as gold standard. METHODS Surgically resected carotid plaques from 12 patients with recent TIA or stroke were imaged at 11.7 T MRI. Quantitative T1/T2* mapping sequences and qualitative T1/T2* gradient echo sequences with voxel size of 30 × 30 × 60 μm3 were obtained prior to histological preparation, sectioning and staining for lipids, inflammation, hemorrhage, and fibrous tissue. Regions of interest (ROI) were selected based on the histological staining at multiple levels matched between histology and MRI. The MRI parameters of each ROI were then analyzed with quadratic discriminant analysis (QDA) for classification. RESULTS A total of 965 ROIs, at 70 levels matched between histology and MRI, were registered based on histological staining. In the nine plaques where three or more plaque components were possible to co-localize with MRI, the mean degree of misclassification by QDA was 16.5 %. One of the plaques contained mostly fibrous tissue and lipids and had no misclassifications, and two plaques mostly contained fibrous tissue. QDA generally showed good classification for fibrous tissue and lipids, whereas plaques with hemorrhage and inflammation had more misclassifications. CONCLUSION 11.7 T ex vivo high field MRI shows good visual agreement with histology in carotid plaques. T1/T2* maps analyzed with QDA is a promising non-destructive method to classify plaque components, but with a higher degree of misclassifications in plaques with hemorrhage or inflammation.
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Key Words
- 11.7 T MRI
- 11.7T, 11.7 Tesla
- 3T, 3 Tesla
- Atherosclerosis
- BSA, bovine serum albumin
- CI, confidence interval
- CTA, computed tomography angiography
- Carotid plaque
- Classification
- FA, flip angle
- FOV, field of view
- GE3D, gradient echo three dimensional
- HRP, horse radish peroxidase
- ICA, internal carotid artery
- IPH, intra-plaque hemorrhage
- LRNC, lipid rich necrotic core
- MRI, magnetic resonance imaging
- OCT, optimal cutting temperature
- Plaque components
- RF, radio frequency
- ROI, region of interest
- SD, standard deviation
- T1 maps
- T1w, T1 weighted
- T2*maps
- T2*w, T2 star weighted
- TBS, tris-buffered saline
- TE, echo time
- TIA, transient ischemic attack
- TR, repetition time
- ms, millisecond
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Affiliation(s)
- My Truong
- Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Medical Imaging Department, Neuroradiology, 22185, Lund, Sweden
| | - Finn Lennartsson
- Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Medical Imaging Department, Neuroradiology, 22185, Lund, Sweden
| | - Adnan Bibic
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, F. M. Kirby Center, 707 North Broadway, Baltimore, MD, 21 205, USA
| | - Lena Sundius
- Clinical Sciences Malmö, Lund University, Jan Waldenströmsg 35, 91-12, Skåne University Hospital, 20502, Malmö, Sweden
| | - Ana Persson
- Clinical Sciences Malmö, Lund University, Jan Waldenströmsg 35, 91-12, Skåne University Hospital, 20502, Malmö, Sweden
| | - Roger Siemund
- Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Medical Imaging Department, Neuroradiology, 22185, Lund, Sweden
| | - René In’t Zandt
- Lund University Bioimaging Centre, Lund University, Klinikgatan 32, BMC D11, SE-221 84, Lund, Sweden
| | - Isabel Goncalves
- Cardiology, Skåne University Hospital, Sweden
- Clinical Sciences Malmö, Lund University, Jan Waldenströmsg 35, 91-12, Skåne University Hospital, 20502, Malmö, Sweden
| | - Johan Wassélius
- Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Medical Imaging Department, Neuroradiology, 22185, Lund, Sweden
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17
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Zhang S, Xu W, Gao P, Chen W, Zhou Q. Construction of dual nanomedicines for the imaging and alleviation of atherosclerosis. ARTIFICIAL CELLS, NANOMEDICINE, AND BIOTECHNOLOGY 2020; 48:169-179. [PMID: 31852323 DOI: 10.1080/21691401.2019.1699823] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Accepted: 08/10/2019] [Indexed: 12/13/2022]
Abstract
Magnetic resonance imaging (MRI) is an essential tool for the diagnosis of atherosclerosis, a chronic cardiovascular disease. MRI primarily uses superparamagnetic iron oxide (SPIO) as a contrast agent. However, SPIO integrated with therapeutic drugs has rarely been studied. In this study, we explored biocompatible paramagnetic iron-oxide nanoparticles (NPs) in a complex with low pH-sensitive cyclodextrin for the diagnostic imaging and treatment of atherosclerosis. The NPs were conjugated with profilin-1 antibody (PFN1) to specifically target vascular smooth muscle cells (VSMCs) in the atherosclerotic plaque and integrated with the anti-inflammatory drug, rapamycin. The PFN1-CD-MNPs were easily binded to the VSMCs, indicating their good biocompatibility and low renal toxicity over the long term. Ex vivo near-infrared fluorescence (NIRF) imaging and in vivo MRI indicated the accumulation of PFN1-CD-MNPs in the atherosclerotic plaque. The RAP@PFN1-CD-MNPs alleviated the progression of arteriosclerosis. Thus, PFN1-CD-MNPs served not only as multifunctional imaging probes but also as nanovehicles for the treatment of atherosclerosis.
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Affiliation(s)
- Shuihua Zhang
- Department of Radiology, Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
- Guangzhou Universal Medical Imaging Diagnostic Center, Universal Medical Imaging, Guangzhou, China
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Wan Xu
- Ministry of Education Key Laboratory of Laser Life Science and Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Peng Gao
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
- Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Wenli Chen
- Ministry of Education Key Laboratory of Laser Life Science and Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou, China
| | - Quan Zhou
- Department of Radiology, Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
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18
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Huang S, Gong X, Guan S, Zheng S, Li F, Xu Q, Pang X. Clinical value of MRI T2-mapping quantitative assessment of carotid plaque. Acta Radiol 2020; 61:1021-1025. [PMID: 31876163 DOI: 10.1177/0284185119894216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Stroke is a severe health problem, and magnetic resonance imaging (MRI) plays a significant role in stroke. PURPOSE To investigate the clinical value of MRI T2-mapping in carotid artery plaque. MATERIAL AND METHODS To locate the plaque in the carotid artery, 25 patients with carotid atherosclerosis were examined by 3.0-T MRI with three-dimensional (3D) time-of-flight and 3D fast spin-echo (FSE) T1-weighted scanning. The original images were obtained after T2-mapping (multi-spin-echo sequence) scanning. The T2 values of the plaque in the narrowest lumen were measured on T2 maps after postprocessing of the original images. Based on the symptoms, the patients were divided into two sub-groups; independent sample t-test was employed to compare the difference between the T2 values of the plaque in the two groups. We evaluated the optimal threshold and diagnostic efficacy of T2 values in predicting cerebrovascular symptoms by the receiver operating characteristic (ROC) curve. RESULTS The T2 values of the carotid artery plaque in symptomatic and asymptomatic patients were 111.43 ± 46.54 ms and 59.25 ± 39.77 ms, respectively (t = -3.421, P < 0.01). ROC analysis showed that the T2 value of 65.38 ms was the optimal threshold to predict cerebrovascular symptoms. The specificity, sensitivity, and accuracy attained were 94.1% (16/17), 93.3% (14/15), and 93.8% (30/32), respectively. CONCLUSION We quantitatively assessed carotid plaque components by MRI T2-mapping technology. The T2 values of the carotid plaque were associated with cerebrovascular symptoms. The T2 values of the symptomatic plaque group were significantly higher than those of the asymptomatic group.
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Affiliation(s)
- Shan Huang
- Department of Nuclear Medicine, the Second Hospital of Anhui Medical University, Hefei, PR China
- Department of Radiology, the Second Hospital of Anhui Medical University, Hefei, PR China
| | - Xijun Gong
- Department of Radiology, the Second Hospital of Anhui Medical University, Hefei, PR China
| | - Song Guan
- Department of Radiology, the Second Hospital of Anhui Medical University, Hefei, PR China
| | - Suisheng Zheng
- Department of Radiology, the Second Hospital of Anhui Medical University, Hefei, PR China
| | - Fei Li
- Department of Nuclear Medicine, the Second Hospital of Anhui Medical University, Hefei, PR China
| | - Qiqi Xu
- The Second Clinical College, Anhui Medical University, Hefei, PR China
| | - Xiaoxi Pang
- Department of Nuclear Medicine, the Second Hospital of Anhui Medical University, Hefei, PR China
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19
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Imaging Features of Vulnerable Carotid Atherosclerotic Plaque and the Associated Clinical Implications. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2020. [DOI: 10.1007/s11936-020-00821-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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20
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Frost R, Biasiolli L, Li L, Hurst K, Alkhalil M, Choudhury RP, Robson MD, Hess AT, Jezzard P. Navigator-based reacquisition and estimation of motion-corrupted data: Application to multi-echo spin echo for carotid wall MRI. Magn Reson Med 2020; 83:2026-2041. [PMID: 31697862 PMCID: PMC7065122 DOI: 10.1002/mrm.28063] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 10/10/2019] [Accepted: 10/11/2019] [Indexed: 12/14/2022]
Abstract
PURPOSE To assess whether artifacts in multi-slice multi-echo spin echo neck imaging, thought to be caused by brief motion events such as swallowing, can be corrected by reacquiring corrupted central k-space data and estimating the remainder with parallel imaging. METHODS A single phase-encode line (ky = 0, phase-encode direction anteroposterior) navigator echo was used to identify motion-corrupted data and guide the online reacquisition. If motion corruption was detected in the 7 central k-space lines, they were replaced with reacquired data. Subsequently, GRAPPA reconstruction was trained on the updated central portion of k-space and then used to estimate the remaining motion-corrupted k-space data from surrounding uncorrupted data. Similar compressed sensing-based approaches have been used previously to compensate for respiration in cardiac imaging. The g-factor noise amplification was calculated for the parallel imaging reconstruction of data acquired with a 10-channel neck coil. The method was assessed in scans with 9 volunteers and 12 patients. RESULTS The g-factor analysis showed that GRAPPA reconstruction of 2 adjacent motion-corrupted lines causes high noise amplification; therefore, the number of 2-line estimations should be limited. In volunteer scans, median ghosting reduction of 24% was achieved with 2 adjacent motion-corrupted lines correction, and image quality was improved in 2 patient scans that had motion corruption close to the center of k-space. CONCLUSION Motion-corrupted echo-trains can be identified with a navigator echo. Combined reacquisition and parallel imaging estimation reduced motion artifacts in multi-slice MESE when there were brief motion events, especially when motion corruption was close to the center of k-space.
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Affiliation(s)
- Robert Frost
- Wellcome Centre for Integrative NeuroimagingFMRIB DivisionNuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
- Athinoula A. Martinos Center for Biomedical ImagingMassachusetts General HospitalCharlestownMassachusetts
- Department of RadiologyHarvard Medical SchoolBostonMassachusetts
| | - Luca Biasiolli
- Oxford Centre for Clinical Magnetic Resonance ResearchDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
- Acute Vascular Imaging CentreDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Linqing Li
- Laboratory of Brain and CognitionNational Institute of Mental HealthBethesdaMaryland
| | - Katherine Hurst
- Nuffield Department of Surgical SciencesUniversity of OxfordOxfordUnited Kingdom
| | - Mohammad Alkhalil
- Acute Vascular Imaging CentreDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Robin P. Choudhury
- Acute Vascular Imaging CentreDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Matthew D. Robson
- Oxford Centre for Clinical Magnetic Resonance ResearchDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Aaron T. Hess
- Oxford Centre for Clinical Magnetic Resonance ResearchDivision of Cardiovascular MedicineRadcliffe Department of MedicineUniversity of OxfordOxfordUnited Kingdom
| | - Peter Jezzard
- Wellcome Centre for Integrative NeuroimagingFMRIB DivisionNuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
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21
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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: 1.0] [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.
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Affiliation(s)
- Mohammad Alkhalil
- Department of Cardiology, Royal Victoria Hospital, Belfast, UK
- Department of Cardiology, Toronto General Hospital, Toronto, Canada
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22
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Wüst RCI, Calcagno C, Daal MRR, Nederveen AJ, Coolen BF, Strijkers GJ. Emerging Magnetic Resonance Imaging Techniques for Atherosclerosis Imaging. Arterioscler Thromb Vasc Biol 2020; 39:841-849. [PMID: 30917678 DOI: 10.1161/atvbaha.118.311756] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Atherosclerosis is a prevalent disease affecting a large portion of the population at one point in their lives. There is an unmet need for noninvasive diagnostics to identify and characterize at-risk plaque phenotypes noninvasively and in vivo, to improve the stratification of patients with cardiovascular disease, and for treatment evaluation. Magnetic resonance imaging is uniquely positioned to address these diagnostic needs. However, currently available magnetic resonance imaging methods for vessel wall imaging lack sufficient discriminative and predictive power to guide the individual patient needs. To address this challenge, physicists are pushing the boundaries of magnetic resonance atherosclerosis imaging to increase image resolution, provide improved quantitative evaluation of plaque constituents, and obtain readouts of disease activity such as inflammation. Here, we review some of these important developments, with specific focus on emerging applications using high-field magnetic resonance imaging, the use of quantitative relaxation parameter mapping for improved plaque characterization, and novel 19F magnetic resonance imaging technology to image plaque inflammation.
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Affiliation(s)
- Rob C I Wüst
- From the Biomedical Engineering and Physics (R.C.I.W., M.R.R.D., B.F.C., G.J.S.), Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Claudia Calcagno
- Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York (C.C., G.J.S.)
| | - Mariah R R Daal
- From the Biomedical Engineering and Physics (R.C.I.W., M.R.R.D., B.F.C., G.J.S.), Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Aart J Nederveen
- Radiology and Nuclear Medicine (A.J.N.), Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Bram F Coolen
- From the Biomedical Engineering and Physics (R.C.I.W., M.R.R.D., B.F.C., G.J.S.), Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, the Netherlands
| | - Gustav J Strijkers
- From the Biomedical Engineering and Physics (R.C.I.W., M.R.R.D., B.F.C., G.J.S.), Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, the Netherlands.,Department of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York (C.C., G.J.S.)
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23
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Sato S, Okada T. [Image Characteristics of T 1 Weighted Magnetic Resonance Imaging Techniques for Plaque Tissue Characterization (Comparison with Conventional Spin Echo Method)]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2020; 76:41-53. [PMID: 31956186 DOI: 10.6009/jjrt.2020_jsrt_76.1.41] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
In the tissue characterization of plaques using magnetic resonance imaging (MRI), T1-weighted imaging is important. However, T1-weighted imaging are obtained by various imaging methods, and show different contrasts depending on parameters such as repetition time, echo time, and inversion time. To evaluate the tissue characterization of plaques using MRI, the characteristics are estimated and evaluated using the strength of the plaque-to-muscle signal intensity ratio (PMR), which is the value obtained by dividing the signal intensity of the plaque by that of the sternocleidomastoid muscle or myocardium. In the present research, we aim to obtain the PMR by phantom experiment and grasp the image characteristics for T1 and T2 values of different T1-weighted imaging methods. In addition, since the PMR of the conventional spin echo (SE) method of T1-weighted imaging (two-dimensional (2D) T1WI SE) is reported to have high discrimination ability in plaque tissue characterization, the experimental results were compared with those of 2D T1WI SE. Among the protocols examined, 3D sampling perfection with application optimized contrasts using different flip angle evolutions, T1-variable, motion-sensitized driven equilibrium (1-axis 300 ms2*mT/m) + had the same tissue characterization ability as 2D T1 WI SE, and was the most suitable imaging method. Moreover, in the gradient echo method, the effect of T2 values was smaller than that of 2D T1 WI SE, and it was suggested that the PMR of the plaque may be lowered when there is a change in the tissue properties that the T2 value and T1 value are prolonged due to liquefaction. The results of this phantom experiment are expected help in selecting the imaging method aimed at optimization and the image characteristics of different T1-weighted imaging method can be grasped.
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Affiliation(s)
- Satoru Sato
- Department of Radiology, Ehime Prefectural Imabari Hospital (Current address: Department of Radiology, Ehime Prefectural Central Hospital)
| | - Takeshi Okada
- Department of Radiology, Ehime Prefectural Imabari Hospital
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24
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Chai JT, Ruparelia N, Goel A, Kyriakou T, Biasiolli L, Edgar L, Handa A, Farrall M, Watkins H, Choudhury RP. Differential Gene Expression in Macrophages From Human Atherosclerotic Plaques Shows Convergence on Pathways Implicated by Genome-Wide Association Study Risk Variants. Arterioscler Thromb Vasc Biol 2019; 38:2718-2730. [PMID: 30354237 PMCID: PMC6217969 DOI: 10.1161/atvbaha.118.311209] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Supplemental Digital Content is available in the text. Objective— Plaque macrophages are intricately involved in atherogenesis and plaque destabilization. We sought to identify functional pathways in human plaque macrophages that are differentially regulated in respect of (1) plaque stability and (2) lipid content. We hypothesized that differentially regulated macrophage gene sets would relate to genome-wide association study variants associated with risk of acute complications of atherosclerosis. Approach and Results— Forty patients underwent carotid magnetic resonance imaging for lipid quantification before endarterectomy. Carotid plaque macrophages were procured by laser capture microdissection from (1) lipid core and (2) cap region, in 12 recently symptomatic and 12 asymptomatic carotid plaques. Applying gene set enrichment analysis, a number of gene sets were found to selectively upregulate in symptomatic plaque macrophages, which corresponded to 7 functional pathways: inflammation, lipid metabolism, hypoxic response, cell proliferation, apoptosis, antigen presentation, and cellular energetics. Predicted upstream regulators included IL-1β, TNF-α, and NF-κB. In vivo lipid quantification by magnetic resonance imaging correlated most strongly with the upregulation of genes of the IFN/STAT1 pathways. Cross-interrogation of gene set enrichment analysis and meta-analysis gene set enrichment of variant associations showed lipid metabolism pathways, driven by genes coding for APOE and ABCA1/G1 coincided with known risk-associated SNPs (single nucleotide polymorphisms) from genome-wide association studies. Conclusions— Macrophages from recently symptomatic carotid plaques show differential regulation of functional gene pathways. There were additional quantitative relationships between plaque lipid content and key gene sets. The data show a plausible mechanism by which known genome-wide association study risk variants for atherosclerotic complications could be linked to (1) a relevant cellular process, in (2) the key cell type of atherosclerosis, in (3) a human disease-relevant setting.
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Affiliation(s)
- Joshua T Chai
- From the Division of Cardiovascular Medicine, Radcliffe Department of Medicine (J.T.C., N.R., A.G., T.K., L.B., L.E., M.F., H.W., R.P.C.), University of Oxford, United Kingdom
| | - Neil Ruparelia
- From the Division of Cardiovascular Medicine, Radcliffe Department of Medicine (J.T.C., N.R., A.G., T.K., L.B., L.E., M.F., H.W., R.P.C.), University of Oxford, United Kingdom
| | - Anuj Goel
- From the Division of Cardiovascular Medicine, Radcliffe Department of Medicine (J.T.C., N.R., A.G., T.K., L.B., L.E., M.F., H.W., R.P.C.), University of Oxford, United Kingdom
| | - Theodosios Kyriakou
- From the Division of Cardiovascular Medicine, Radcliffe Department of Medicine (J.T.C., N.R., A.G., T.K., L.B., L.E., M.F., H.W., R.P.C.), University of Oxford, United Kingdom
| | - Luca Biasiolli
- From the Division of Cardiovascular Medicine, Radcliffe Department of Medicine (J.T.C., N.R., A.G., T.K., L.B., L.E., M.F., H.W., R.P.C.), University of Oxford, United Kingdom
| | - Laurienne Edgar
- From the Division of Cardiovascular Medicine, Radcliffe Department of Medicine (J.T.C., N.R., A.G., T.K., L.B., L.E., M.F., H.W., R.P.C.), University of Oxford, United Kingdom
| | - Ashok Handa
- Nuffield Department of Surgical Sciences (A.H.), University of Oxford, United Kingdom
| | - Martin Farrall
- From the Division of Cardiovascular Medicine, Radcliffe Department of Medicine (J.T.C., N.R., A.G., T.K., L.B., L.E., M.F., H.W., R.P.C.), University of Oxford, United Kingdom
| | - Hugh Watkins
- From the Division of Cardiovascular Medicine, Radcliffe Department of Medicine (J.T.C., N.R., A.G., T.K., L.B., L.E., M.F., H.W., R.P.C.), University of Oxford, United Kingdom
| | - Robin P Choudhury
- From the Division of Cardiovascular Medicine, Radcliffe Department of Medicine (J.T.C., N.R., A.G., T.K., L.B., L.E., M.F., H.W., R.P.C.), University of Oxford, United Kingdom
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Neumann S, Milano EG, Bucciarelli-Ducci C, Biglino G. Imaging the carotid atherosclerotic plaque. VASCULAR BIOLOGY (BRISTOL, ENGLAND) 2019; 1:H53-H58. [PMID: 32923954 PMCID: PMC7439847 DOI: 10.1530/vb-19-0010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 06/28/2019] [Indexed: 11/24/2022]
Abstract
This mini review provides a concise overview of imaging techniques that are currently used to image the atheroscletoric plaque in the carotid artery in vivo. The main techniques include ultrasound imaging, X-ray imaging, magnetic resonance imaging and positron emission tomography imaging. Each technique has advantages and limitations and may be chosen depending on the availability, cost and clinical justification for its use. Common to all the imaging techniques presented here is the need for a skilled imaging professional to allow for high reliability and repeatability. While ultrasound-based imaging currently is regarded as a first line technique in clinical practice, the use of other techniques such as computed tomography angiography or magnetic resonance angiography need to be considered in the presence of significant stenosis with or without symptoms. Advancements in these two modalities, as well as in positron emission tomography imaging, are increasingly moving toward a better understanding of the risk-stratification and pre-interventional monitoring of patients at risk of plaque rupture as well as early identification of plaque development and better understanding of plaque composition (e.g. metabolic imaging).
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Affiliation(s)
- Sandra Neumann
- Research and Imaging Centre (CRIC) Bristol, University of Bristol, Bristol, UK
| | - Elena G Milano
- UCL Institute of Cardiovascular Science and Great Ormond Street Hospital for Children, London, UK
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Verona, Italy
| | - Chiara Bucciarelli-Ducci
- Research and Imaging Centre (CRIC) Bristol, University of Bristol, Bristol, UK
- University Hospitals Bristol, NHS Foundation Trust, Bristol, UK
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Giovanni Biglino
- Research and Imaging Centre (CRIC) Bristol, University of Bristol, Bristol, UK
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Verona, Italy
- University Hospitals Bristol, NHS Foundation Trust, Bristol, UK
- Bristol Medical School, University of Bristol, Bristol, UK
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Adams LC, Bressem KK, Jurmeister P, Fahlenkamp UL, Ralla B, Engel G, Hamm B, Busch J, Makowski MR. Use of quantitative T2 mapping for the assessment of renal cell carcinomas: first results. Cancer Imaging 2019; 19:35. [PMID: 31174616 PMCID: PMC6555952 DOI: 10.1186/s40644-019-0222-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 05/27/2019] [Indexed: 12/19/2022] Open
Abstract
Background Correct staging and grading of patients with clear cell renal cell carcinoma (cRCC) is of clinical relevance for the prediction of operability and for individualized patient management. As partial or radial resection with postoperative tumor grading currently remain the methods of choice for the classification of cRCC, non-invasive preoperative alternatives to differentiate lower grade from higher grade cRCC would be beneficial. Methods This institutional-review-board approved cross-sectional study included twenty-seven patients (8 women, mean age ± SD, 61.3 ± 14.2) with histopathologically confirmed cRCC, graded according to the International Society of Urological Pathology (ISUP). A native, balanced steady-state free precession T2 mapping sequence (TrueFISP) was performed at 1.5 T. Quantitative T2 values were measured with circular 2D ROIs in the solid tumor portion and also in the normal renal parenchyma (cortex and medulla). To estimate the optimal cut-off T2 value for identifying lower grade cRCC, a Receiver Operating Characteristic Curve (ROC) analysis was performed and sensitivity and specificity were calculated. Students’ t-tests were used to evaluate the differences in mean values for continuous variables, while intergroup differences were tested for significance with two-tailed Mann-Whitney-U tests. Results There were significant differences between the T2 values for lower grade (ISUP 1–2) and higher grade (ISUP 3–4) cRCC (p < 0.001), with higher T2 values for lower grade cRCC compared to higher grade cRCC. The sensitivity and specificity for the differentiation of lower grade from higher grade tumors were 83.3% (95% CI: 0.59–0.96) and 88.9% (95% CI: 0.52–1.00), respectively, using a threshold value of ≥110 ms. Intraobserver/interobserver agreement for T2 measurements was excellent/substantial. Conclusions Native T2 mapping based on a balanced steady-state free precession MR sequence might support an image-based distinction between lower and higher grade cRCC in a two-tier-system and could be a helpful addition to multiparametric imaging. Electronic supplementary material The online version of this article (10.1186/s40644-019-0222-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lisa C Adams
- Department of Radiology, Charité, Charitéplatz 1, 10117, Berlin, Germany.
| | - Keno K Bressem
- Department of Radiology, Charité, Hindenburgdamm 30, 12203, Berlin, Germany
| | | | - Ute L Fahlenkamp
- Department of Radiology, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Bernhard Ralla
- Department of Urology, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Guenther Engel
- Department of Radiology, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Bernd Hamm
- Department of Radiology, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Jonas Busch
- Department of Radiology, Charité, Charitéplatz 1, 10117, Berlin, Germany
| | - Marcus R Makowski
- Department of Radiology, Charité, Charitéplatz 1, 10117, Berlin, Germany
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Alkhalil M, Biasiolli L, Akbar N, Galassi F, Chai JT, Robson MD, Choudhury RP. T2 mapping MRI technique quantifies carotid plaque lipid, and its depletion after statin initiation, following acute myocardial infarction. Atherosclerosis 2018; 279:100-106. [PMID: 30227984 DOI: 10.1016/j.atherosclerosis.2018.08.033] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 08/10/2018] [Accepted: 08/24/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS A recently-validated, highly-sensitive T2 mapping magnetic resonance (MRI) technique accurately quantifies carotid plaque lipid. The aims of this study were to determine: (i) the extent of carotid plaque lipid in patients with acute coronary syndromes (ACS); (ii) the effects of initiation of high-intensity statin on plaque lipid content and (iii) whether plaque lipid content is related to standard or 'functional' blood lipid measurements. METHODS Statin naïve subjects presenting with ACS underwent carotid artery MRI at 3 T scanner to quantify plaque lipid. Patients were subsequently commenced on high dose statin as part of clinical care and underwent a second MRI after three months. Plaque composition was measured using objective semi-automated techniques. RESULTS 23 out of 24 patients had measurable lipid. Three months after statin initiation there was a significant reduction in carotid lipid percentage [from 10.3% (7.2-14.2) to 7.4% (5.4-10.0), p = 0.002] and a significant increase in fibrous percentage [from 83.3% ± 6.6-85.5% ± 4.8, p = 0.039]. None of the studied functional blood biomarkers were related to either baseline carotid plaque lipid content or its propensity to change with statin treatment. CONCLUSIONS T2-mapping demonstrated depleted carotid plaque lipid following the initiation of high-intensity statin treatment. Standard or 'functional' blood biomarkers were dissociated from plaque lipid content or changes with treatment. These findings further reinforce the importance of disease characterisation over risk factor assessment. Subject to clinical trial findings, quantification of plaque lipid may provide the basis for an approach to identify patients suitable for intensive lipid reduction regimes.
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Affiliation(s)
- Mohammad Alkhalil
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, UK; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Luca Biasiolli
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, UK
| | - Naveed Akbar
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Francesca Galassi
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, UK
| | - Joshua T Chai
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, UK
| | - Matthew D Robson
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, UK
| | - Robin P Choudhury
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, UK; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
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28
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Qi H, Sun J, Qiao H, Zhao X, Guo R, Balu N, Yuan C, Chen H. Simultaneous T 1 and T 2 mapping of the carotid plaque (SIMPLE) with T 2 and inversion recovery prepared 3D radial imaging. Magn Reson Med 2018; 80:2598-2608. [PMID: 29802629 DOI: 10.1002/mrm.27361] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Revised: 04/21/2018] [Accepted: 04/23/2018] [Indexed: 12/30/2022]
Abstract
PURPOSE To propose a technique that can produce different T1 and T2 contrasts in a single scan for simultaneous T1 and T2 mapping of the carotid plaque (SIMPLE). METHODS An interleaved 3D golden angle radial trajectory was used in conjunction with T2 preparation with variable duration (TEprep ) and inversion recovery pulses. Sliding window reconstruction was adopted to reconstruct images at different inversion delay time and TEprep for joint T1 and T2 fitting. In the fitting procedure, a rapid B1 correction method was presented. The accuracy of SIMPLE was investigated in phantom experiments. In vivo scans were performed on 5 healthy volunteers with 2 scans each, and on 5 patients with carotid atherosclerosis. RESULTS The phantom T1 and T2 estimations of SIMPLE agreed well with the standard methods with the percentage difference smaller than 7.1%. In vivo T1 and T2 for normal carotid vessel wall were 1213 ± 48.3 ms and 51.1 ± 1.7 ms, with good interscan repeatability. Alternations of T1 and T2 in plaque regions were in agreement with the conventional multicontrast imaging findings. CONCLUSION The proposed SIMPLE allows simultaneous T1 and T2 mapping of the carotid artery in less than 10 minutes, serving as a quantitative tool with good accuracy and reproducibility for plaque characterization.
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Affiliation(s)
- Haikun Qi
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Jie Sun
- Department of Radiology, University of Washington, Seattle, Washington
| | - 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
| | - Rui Guo
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Niranjan Balu
- Department of Radiology, University of Washington, Seattle, Washington
| | - Chun Yuan
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.,Department of Radiology, University of Washington, Seattle, Washington
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
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Using 3D spatial correlations to improve the noise robustness of multi component analysis of 3D multi echo quantitative T2 relaxometry data. Neuroimage 2018; 178:583-601. [PMID: 29763672 DOI: 10.1016/j.neuroimage.2018.05.026] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 05/07/2018] [Accepted: 05/08/2018] [Indexed: 12/18/2022] Open
Abstract
PURPOSE We present a computationally feasible and iterative multi-voxel spatially regularized algorithm for myelin water fraction (MWF) reconstruction. This method utilizes 3D spatial correlations present in anatomical/pathological tissues and underlying B1+-inhomogeneity or flip angle inhomogeneity to enhance the noise robustness of the reconstruction while intrinsically accounting for stimulated echo contributions using T2-distribution data alone. METHODS Simulated data and in vivo data acquired using 3D non-selective multi-echo spin echo (3DNS-MESE) were used to compare the reconstruction quality of the proposed approach against those of the popular algorithm (the method by Prasloski et al.) and our previously proposed 2D multi-slice spatial regularization spatial regularization approach. We also investigated whether the inter-sequence correlations and agreements improved as a result of the proposed approach. MWF-quantifications from two sequences, 3DNS-MESE vs 3DNS-gradient and spin echo (3DNS-GRASE), were compared for both reconstruction approaches to assess correlations and agreements between inter-sequence MWF-value pairs. MWF values from whole-brain data of six volunteers and two multiple sclerosis patients are being reported as well. RESULTS In comparison with competing approaches such as Prasloski's method or our previously proposed 2D multi-slice spatial regularization method, the proposed method showed better agreements with simulated truths using regression analyses and Bland-Altman analyses. For 3DNS-MESE data, MWF-maps reconstructed using the proposed algorithm provided better depictions of white matter structures in subcortical areas adjoining gray matter which agreed more closely with corresponding contrasts on T2-weighted images than MWF-maps reconstructed with the method by Prasloski et al. We also achieved a higher level of correlations and agreements between inter-sequence (3DNS-MESE vs 3DNS-GRASE) MWF-value pairs. CONCLUSION The proposed algorithm provides more noise-robust fits to T2-decay data and improves MWF-quantifications in white matter structures especially in the sub-cortical white matter and major white matter tract regions.
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30
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McPhee KC, Wilman AH. Limitations of skipping echoes for exponential T2fitting. J Magn Reson Imaging 2018; 48:1432-1440. [DOI: 10.1002/jmri.26052] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 03/27/2018] [Indexed: 12/20/2022] Open
Affiliation(s)
- Kelly C. McPhee
- Department of Physics; University of Alberta; Edmonton Alberta Canada
- Department of Biomedical Engineering; University of Alberta; Edmonton Alberta Canada
| | - Alan H. Wilman
- Department of Physics; University of Alberta; Edmonton Alberta Canada
- Department of Biomedical Engineering; University of Alberta; Edmonton Alberta Canada
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Yuan J, Patterson AJ, Ruetten PPR, Reid SA, Gillard JH, Graves MJ. A Comparison of Black-blood T 2 Mapping Sequences for Carotid Vessel Wall Imaging at 3T: An Assessment of Accuracy and Repeatability. Magn Reson Med Sci 2018. [PMID: 29515084 PMCID: PMC6326764 DOI: 10.2463/mrms.mp.2017-0141] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Purpose: This study is to compare the accuracy of four different black-blood T2 mapping sequences in carotid vessel wall. Methods: Four different black-blood T2 mapping sequences were developed and tested through phantom experiments and 17 healthy volunteers. The four sequences were: 1) double inversion-recovery (DIR) prepared 2D multi-echo spin-echo (MESE); 2) DIR-prepared 2D multi-echo fast spin-echo (MEFSE); 3) improved motion-sensitized driven-equilibrium (iMSDE) prepared 3D FSE and 4) iMSDE prepared 3D fast spoiled gradient echo (FSPGR). The concordance correlation coefficient and Bland–Altman statistics were used to compare the sequences with a gold-standard 2D MESE, without blood suppression in phantom studies. The volunteers were scanned twice to test the repeatability. Mean and standard deviation of vessel wall T2, signal-to-noise (SNR), the coefficient of variance and interclass coefficient (ICC) of the two scans were compared. Results: The phantom study demonstrated that T2 measurements had high concordance with respect to the gold-standard (all r values >0.9). In the volunteer study, the DIR 2D MEFSE had significantly higher T2 values than the other three sequences (P < 0.01). There was no difference in T2 measurements obtained using the other three sequences (P > 0.05). iMSDE 3D FSE had the highest SNR (P < 0.05) compared with the other three sequences. The 2D DIR MESE has the highest repeatability (ICC: 0.96, [95% CI: 0.88–0.99]). Conclusion: Although accurate T2 measurements can be achieved in phantom by the four sequences, in vivo vessel wall T2 quantification shows significant differences. The in vivo images can be influenced by multiple factors including black-blood preparation and acquisition method. Therefore, a careful choice of acquisition methods and analysis of the confounding factors are required for accurate in vivo carotid vessel wall T2 measurements. From the settings in this study, the iMSDE prepared 3D FSE is preferred for the future volunteer/patient scans.
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Affiliation(s)
- Jianmin Yuan
- Department of Radiology, University of Cambridge, Level 5, Box 218, Addenbrooke's Hospital
| | - Andrew J Patterson
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust
| | - Pascal P R Ruetten
- Department of Radiology, University of Cambridge, Level 5, Box 218, Addenbrooke's Hospital
| | | | - Jonathan H Gillard
- Department of Radiology, University of Cambridge, Level 5, Box 218, Addenbrooke's Hospital
| | - Martin J Graves
- Department of Radiology, University of Cambridge, Level 5, Box 218, Addenbrooke's Hospital.,Department of Radiology, Cambridge University Hospitals NHS Foundation Trust
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32
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The development and optimisation of 3D black-blood R2* mapping of the carotid artery wall. Magn Reson Imaging 2017; 44:104-110. [DOI: 10.1016/j.mri.2017.08.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 08/05/2017] [Accepted: 08/30/2017] [Indexed: 11/22/2022]
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33
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Wang G, Zhang Y, Hegde SS, Bottomley PA. High-resolution and accelerated multi-parametric mapping with automated characterization of vessel disease using intravascular MRI. J Cardiovasc Magn Reson 2017; 19:89. [PMID: 29157260 PMCID: PMC5694914 DOI: 10.1186/s12968-017-0399-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 10/16/2017] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Atherosclerosis is prevalent in cardiovascular disease, but present imaging modalities have limited capabilities for characterizing lesion stage, progression and response to intervention. This study tests whether intravascular magnetic resonance imaging (IVMRI) measures of relaxation times (T1, T2) and proton density (PD) in a clinical 3 Tesla scanner could characterize vessel disease, and evaluates a practical strategy for accelerated quantification. METHODS IVMRI was performed in fresh human artery segments and swine vessels in vivo, using fast multi-parametric sequences, 1-2 mm diameter loopless antennae and 200-300 μm resolution. T1, T2 and PD data were used to train a machine learning classifier (support vector machine, SVM) to automatically classify normal vessel, and early or advanced disease, using histology for validation. Disease identification using the SVM was tested with receiver operating characteristic curves. To expedite acquisition of T1, T2 and PD data for vessel characterization, the linear algebraic method ('SLAM') was modified to accommodate the antenna's highly-nonuniform sensitivity, and used to provide average T1, T2 and PD measurements from compartments of normal and pathological tissue segmented from high-resolution images at acceleration factors of R ≤ 18-fold. The results were validated using compartment-average measures derived from the high-resolution scans. RESULTS The SVM accurately classified ~80% of samples into the three disease classes. The 'area-under-the-curve' was 0.96 for detecting disease in 248 samples, with T1 providing the best discrimination. SLAM T1, T2 and PD measures for R ≤ 10 were indistinguishable from the true means of segmented tissue compartments. CONCLUSION High-resolution IVMRI measures of T1, T2 and PD with a trained SVM can automatically classify normal, early and advanced atherosclerosis with high sensitivity and specificity. Replacing relaxometric MRI with SLAM yields good estimates of T1, T2 and PD an order-of-magnitude faster to facilitate IVMRI-based characterization of vessel disease.
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Affiliation(s)
- Guan Wang
- Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, MD USA
- Division of MR Research, Department of Radiology and Radiological Sciences, Johns Hopkins University, Park building 310, 600 N Wolfe Street, Baltimore, MD 21287 USA
| | - Yi Zhang
- Division of MR Research, Department of Radiology and Radiological Sciences, Johns Hopkins University, Park building 310, 600 N Wolfe Street, Baltimore, MD 21287 USA
| | - Shashank Sathyanarayana Hegde
- Division of MR Research, Department of Radiology and Radiological Sciences, Johns Hopkins University, Park building 310, 600 N Wolfe Street, Baltimore, MD 21287 USA
| | - Paul A. Bottomley
- Department of Electrical & Computer Engineering, Johns Hopkins University, Baltimore, MD USA
- Division of MR Research, Department of Radiology and Radiological Sciences, Johns Hopkins University, Park building 310, 600 N Wolfe Street, Baltimore, MD 21287 USA
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Coolen BF, Calcagno C, van Ooij P, Fayad ZA, Strijkers GJ, Nederveen AJ. Vessel wall characterization using quantitative MRI: what's in a number? MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2017; 31:201-222. [PMID: 28808823 PMCID: PMC5813061 DOI: 10.1007/s10334-017-0644-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 07/04/2017] [Accepted: 07/18/2017] [Indexed: 12/15/2022]
Abstract
The past decade has witnessed the rapid development of new MRI technology for vessel wall imaging. Today, with advances in MRI hardware and pulse sequences, quantitative MRI of the vessel wall represents a real alternative to conventional qualitative imaging, which is hindered by significant intra- and inter-observer variability. Quantitative MRI can measure several important morphological and functional characteristics of the vessel wall. This review provides a detailed introduction to novel quantitative MRI methods for measuring vessel wall dimensions, plaque composition and permeability, endothelial shear stress and wall stiffness. Together, these methods show the versatility of non-invasive quantitative MRI for probing vascular disease at several stages. These quantitative MRI biomarkers can play an important role in the context of both treatment response monitoring and risk prediction. Given the rapid developments in scan acceleration techniques and novel image reconstruction, we foresee the possibility of integrating the acquisition of multiple quantitative vessel wall parameters within a single scan session.
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Affiliation(s)
- Bram F Coolen
- Department of Biomedical Engineering and Physics, Academic Medical Center, PO BOX 22660, 1100 DD, Amsterdam, The Netherlands. .,Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands.
| | - Claudia Calcagno
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pim van Ooij
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Zahi A Fayad
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gustav J Strijkers
- Department of Biomedical Engineering and Physics, Academic Medical Center, PO BOX 22660, 1100 DD, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
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35
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Alkhalil M, Biasiolli L, Chai JT, Galassi F, Li L, Darby C, Halliday A, Hands L, Magee T, Perkins J, Sideso E, Jezzard P, Robson MD, Handa A, Choudhury RP. Quantification of carotid plaque lipid content with magnetic resonance T2 mapping in patients undergoing carotid endarterectomy. PLoS One 2017; 12:e0181668. [PMID: 28746385 PMCID: PMC5528883 DOI: 10.1371/journal.pone.0181668] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 07/05/2017] [Indexed: 12/13/2022] Open
Abstract
Background and purpose Techniques to stratify subgroups of patients with asymptomatic carotid artery disease are urgently needed to guide decisions on optimal treatment. Reliance on estimates of % luminal stenosis has not been effective, perhaps because that approach entirely disregards potentially important information on the pathological process in the wall of the artery. Methods Since plaque lipid is a key determinant of plaque behaviour we used a newly validated, high-sensitivity T2-mapping MR technique for a systematic survey of the quantity and distribution of plaque lipid in patients undergoing endarterectomy. Lipid percentage was quantified in 50 carotid endarterectomy patients. Lipid distribution was tested, using two imaging indices (contribution of the largest lipid deposit towards total lipid (LLD %) and a newly-developed LAI ‘lipid aggregation index’). Results The bifurcation contained maximal lipid volume. Lipid percentage was higher in symptomatic vs. asymptomatic patients with degree of stenosis (DS ≥ 50%) and in the total cohort (P = 0.013 and P = 0.005, respectively). Both LLD % and LAI was higher in symptomatic patients (P = 0.028 and P = 0.018, respectively), suggesting that for a given plaque lipid volume, coalesced deposits were more likely to be associated with symptomatic events. There was no correlation between plaque volume or lipid content and degree of luminal stenosis measured on ultrasound duplex (r = -0.09, P = 0.53 and r = -0.05, P = 0.75), respectively. However, there was a strong correlation in lipid between left and right carotid arteries (r = 0.5, P <0.0001, respectively). Conclusions Plaque lipid content and distribution is associated with symptomatic status of the carotid plaque. Importantly, plaque lipid content was not related to the degree of luminal stenosis assessed by ultrasound. Determination of plaque lipid content may prove useful for stratification of asymptomatic patients, including selection of optimal invasive treatments.
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Affiliation(s)
- Mohammad Alkhalil
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Luca Biasiolli
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Joshua T. Chai
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Francesca Galassi
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Linqing Li
- FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Christopher Darby
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Alison Halliday
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Linda Hands
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Timothy Magee
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Jeremy Perkins
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Ed Sideso
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Peter Jezzard
- FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Matthew D. Robson
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Ashok Handa
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Robin P. Choudhury
- Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
- * E-mail:
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Choudhury RP, Birks JS, Mani V, Biasiolli L, Robson MD, L'Allier PL, Gingras MA, Alie N, McLaughlin MA, Basson CT, Schecter AD, Svensson EC, Zhang Y, Yates D, Tardif JC, Fayad ZA. Arterial Effects of Canakinumab in Patients With Atherosclerosis and Type 2 Diabetes or Glucose Intolerance. J Am Coll Cardiol 2017; 68:1769-1780. [PMID: 27737744 PMCID: PMC5064025 DOI: 10.1016/j.jacc.2016.07.768] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 06/30/2016] [Accepted: 07/06/2016] [Indexed: 12/12/2022]
Abstract
Background Evidence suggests that interleukin (IL)-1β is important in the pathogenesis of atherosclerosis and its complications and that inhibiting IL-1β may favorably affect vascular disease progression. Objectives The goal of this study was to evaluate the effects of IL-1β inhibition with canakinumab versus placebo on arterial structure and function, determined by magnetic resonance imaging. Methods Patients (N = 189) with atherosclerotic disease and either type 2 diabetes mellitus or impaired glucose tolerance were randomized to receive placebo (n = 94) or canakinumab 150 mg monthly (n = 95) for 12 months. They underwent magnetic resonance imaging of the carotid arteries and aorta. Results There were no statistically significant differences between canakinumab compared with placebo in the primary efficacy and safety endpoints. There was no statistically significant change in mean carotid wall area and no effect on aortic distensibility, measured at 3 separate anatomic sites. The change in mean carotid artery wall area was –3.37 mm2 after 12 months with canakinumab versus placebo. High-sensitivity C-reactive protein was significantly reduced by canakinumab compared with placebo at 3 months (geometric mean ratio [GMR]: 0.568; 95% confidence interval [CI]: 0.436 to 0.740; p < 0.0001) and 12 months (GMR: 0.56; 95% CI: 0.414 to 0.758; p = 0.0002). Lipoprotein(a) levels were reduced by canakinumab compared with placebo (–4.30 mg/dl [range: –8.5 to –0.55 mg/dl]; p = 0.025] at 12 months), but triglyceride levels increased (GMR: 1.20; 95% CI: 1.046 to 1.380; p = 0.01). In these patients with type 2 diabetes mellitus or impaired glucose tolerance, canakinumab had no effect compared with placebo on any of the measures assessed by using a standard oral glucose tolerance test. Conclusions There were no statistically significant effects of canakinumab on measures of vascular structure or function. Canakinumab reduced markers of inflammation (high-sensitivity C-reactive protein and interleukin-6), and there were modest increases in levels of total cholesterol and triglycerides. (Safety & Effectiveness on Vascular Structure and Function of ACZ885 in Atherosclerosis and Either T2DM or IGT Patients; NCT00995930)
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Affiliation(s)
- Robin P Choudhury
- Oxford Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
| | - Jacqueline S Birks
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Oxford, United Kingdom
| | - Venkatesh Mani
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Luca Biasiolli
- Oxford Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Matthew D Robson
- Oxford Acute Vascular Imaging Centre, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Philippe L L'Allier
- Montreal Heart Institute, Université de Montréal, Montreal, Canada; Department of Medicine, Université de Montréal, Montreal, Canada
| | - Marc-Alexandre Gingras
- Montreal Heart Institute, Université de Montréal, Montreal, Canada; Department of Medicine, Université de Montréal, Montreal, Canada
| | - Nadia Alie
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Mary Ann McLaughlin
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Craig T Basson
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Alison D Schecter
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Eric C Svensson
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Yiming Zhang
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Denise Yates
- Novartis Institutes for BioMedical Research, Cambridge, Massachusetts
| | - Jean-Claude Tardif
- Montreal Heart Institute, Université de Montréal, Montreal, Canada; Department of Medicine, Université de Montréal, Montreal, Canada
| | - Zahi A Fayad
- Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
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Qi H, Huang F, Zhou Z, Koken P, Balu N, Zhang B, Yuan C, Chen H. Large coverage black-bright blood interleaved imaging sequence (LaBBI) for 3D dynamic contrast-enhanced MRI of vessel wall. Magn Reson Med 2017. [PMID: 28626998 DOI: 10.1002/mrm.26786] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
PURPOSE To propose a large coverage black-bright blood interleaved imaging sequence (LaBBI) for 3D dynamic contrast-enhanced MRI (DCE-MRI) of the vessel wall. METHODS LaBBI consists of a 3D black-blood stack-of-stars golden angle radial acquisition with high spatial resolution for vessel wall imaging and a 2D bright-blood Cartesian acquisition with high temporal resolution for arterial input function estimation. The two acquisitions were performed in an interleaved fashion within a single scan. Simulations, phantom experiments, and in vivo tests in three patients were performed to investigate the feasibility and performance of the proposed LaBBI. RESULTS In simulation tests, the estimated Ktrans and vp by LaBBI were more accurate than conventional bright-blood DCE-MRI with lower root mean square error in all the tested conditions. In phantom test, no signal interference was found on the 2D scan in LaBBI. Pharmacokinetic analysis of the patients' data acquired by LaBBI showed that Ktrans was higher in fibrous tissue (0.0717 ± 0.0279 min-1 ), while lower in necrotic core (0.0206 ± 0.0040 min-1 ) and intraplaque hemorrhage (0.0078 ± 0.0007 min-1 ), compared with normal vessel wall (0.0273 ± 0.0052 min-1 ). CONCLUSION The proposed LaBBI sequence, with high spatial and temporal resolution, and large coverage blood suppression, was promising to probe the perfusion properties of vessel wall lesions. Magn Reson Med 79:1334-1344, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Haikun Qi
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | | | | | | | - Niranjan Balu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | | | - Chun Yuan
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.,Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
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Three-dimensional black-blood T 2 mapping with compressed sensing and data-driven parallel imaging in the carotid artery. Magn Reson Imaging 2017; 37:62-69. [DOI: 10.1016/j.mri.2016.11.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2016] [Revised: 11/18/2016] [Accepted: 11/20/2016] [Indexed: 11/22/2022]
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39
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Viessmann O, Li L, Benjamin P, Jezzard P. T2-Weighted intracranial vessel wall imaging at 7 Tesla using a DANTE-prepared variable flip angle turbo spin echo readout (DANTE-SPACE). Magn Reson Med 2017; 77:655-663. [PMID: 26890988 PMCID: PMC5298018 DOI: 10.1002/mrm.26152] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 01/14/2016] [Accepted: 01/15/2016] [Indexed: 11/06/2022]
Abstract
PURPOSE To optimize intracranial vessel wall imaging (VWI) at 7T for sharp wall depiction and high boundary contrast. METHODS A variable flip angle turbo spin echo scheme (SPACE) was optimized for VWI. SPACE provides black-blood contrast, but has less crushing effect on cerebrospinal fluid (CSF). However, a delay alternating with nutation for tailored excitation (DANTE) preparation suppresses the signal from slowly moving spins of a few mm per second. Therefore, we optimized a DANTE-preparation module for 7T. Signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and signal ratio for vessel wall, CSF, and lumen were calculated for SPACE and DANTE-SPACE in 11 volunteers at the middle cerebral artery (MCA). An exemplar MCA stenosis patient was scanned with DANTE-SPACE. RESULTS The 7T-optimized SPACE sequence improved the vessel wall point-spread function by 17%. The CNR between the wall and CSF was doubled (12.2 versus 5.6) for the DANTE-SPACE scans compared with the unprepared SPACE. This increase was significant in the right hemisphere (P = 0.016), but not in the left (P = 0.090). The CNR between wall and lumen was halved, but remained at a high value (24.9 versus 56.5). CONCLUSION The optimized SPACE sequence improves VWI at 7T. Additional DANTE preparation increases the contrast between the wall and CSF. Increased outer boundary contrast comes at the cost of reduced inner boundary contrast. Magn Reson Med 77:655-663, 2017. © 2016 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Affiliation(s)
- Olivia Viessmann
- FMRIB Centre, Nuffield Department of Clinical NeurosciencesJohn Radcliffe HospitalOxfordOX3 9DUUK
| | - Linqing Li
- FMRIB Centre, Nuffield Department of Clinical NeurosciencesJohn Radcliffe HospitalOxfordOX3 9DUUK
- Molecular Imaging Branch, National Institute of Mental HealthNational Institutes of HealthBethesdaMaryland, USA
| | - Philip Benjamin
- Neurosciences Research Centre, St George's HospitalUniversity of LondonUK
| | - Peter Jezzard
- FMRIB Centre, Nuffield Department of Clinical NeurosciencesJohn Radcliffe HospitalOxfordOX3 9DUUK
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40
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Alkhalil M, Chai JT, Choudhury RP. Plaque imaging to refine indications for emerging lipid-lowering drugs. EUROPEAN HEART JOURNAL. CARDIOVASCULAR PHARMACOTHERAPY 2017; 3:58-67. [PMID: 27816944 PMCID: PMC5841877 DOI: 10.1093/ehjcvp/pvw034] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Revised: 09/27/2016] [Accepted: 10/27/2016] [Indexed: 12/13/2022]
Abstract
Statins have been effective in reducing adverse cardiovascular events. Their benefits have been proportional to the level of plasma LDL-cholesterol reduction and seem to extend to patients with 'normal' levels of cholesterol at outset. Statins are also inexpensive and have a favourable side-effect profile. As a result, they are used widely (almost indiscriminately) in patients with atherosclerotic vascular disease, and in those at risk of disease. Next generation lipid-modifying drugs seem unlikely to offer the same simplicity of application. The recent trials of new classes of lipid modifying drugs underline the need for a risk stratification tool which is not based on patients' category of diagnosis (for example, post-myocardial infarction) but based on the characterization of disease in that individual patient. Mechanistic staging, a process that matches the target of the drug action with an identifiable disease characteristic, may offer an opportunity to achieve more precise intervention. The upshots of this targeted approach will be greater efficacy, requiring smaller clinical trials to demonstrate effectiveness; a reduced number needed to treat to yield benefits and more cost-effective prescribing. This will be important, as purchasers require ever more rigorous demonstration of both efficacy and cost-effectiveness. In this context, we will discuss available pharmacological strategies of lipid reduction in anti-atherosclerotic treatment and how plaque imaging techniques may provide an ideal method in stratifying patients for new lipid-modifying drugs.
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Affiliation(s)
- Mohammad Alkhalil
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Joshua T Chai
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Robin P Choudhury
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Level 6, West Wing, John Radcliffe Hospital, Oxford OX3 9DU, UK
- Oxford Acute Vascular Imaging Centre (AVIC), Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
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Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans. PLoS One 2016; 11:e0164267. [PMID: 27930665 PMCID: PMC5145140 DOI: 10.1371/journal.pone.0164267] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 09/22/2016] [Indexed: 01/29/2023] Open
Abstract
PURPOSE To study the interscan reproducibility of manual versus automated segmentation of carotid artery plaque components, and the agreement between both methods, in high and lower quality MRI scans. METHODS 24 patients with 30-70% carotid artery stenosis were planned for 3T carotid MRI, followed by a rescan within 1 month. A multicontrast protocol (T1w,T2w, PDw and TOF sequences) was used. After co-registration and delineation of the lumen and outer wall, segmentation of plaque components (lipid-rich necrotic cores (LRNC) and calcifications) was performed both manually and automated. Scan quality was assessed using a visual quality scale. RESULTS Agreement for the detection of LRNC (Cohen's kappa (k) is 0.04) and calcification (k = 0.41) between both manual and automated segmentation methods was poor. In the high-quality scans (visual quality score ≥ 3), the agreement between manual and automated segmentation increased to k = 0.55 and k = 0.58 for, respectively, the detection of LRNC and calcification larger than 1 mm2. Both manual and automated analysis showed good interscan reproducibility for the quantification of LRNC (intraclass correlation coefficient (ICC) of 0.94 and 0.80 respectively) and calcified plaque area (ICC of 0.95 and 0.77, respectively). CONCLUSION Agreement between manual and automated segmentation of LRNC and calcifications was poor, despite a good interscan reproducibility of both methods. The agreement between both methods increased to moderate in high quality scans. These findings indicate that image quality is a critical determinant of the performance of both manual and automated segmentation of carotid artery plaque components.
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42
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Xu Y, Yuan C, Zhou Z, He L, Mi D, Li R, Cui Y, Wang Y, Wang Y, Liu G, Zheng Z, Zhao X. Co-existing intracranial and extracranial carotid artery atherosclerotic plaques and recurrent stroke risk: a three-dimensional multicontrast cardiovascular magnetic resonance study. J Cardiovasc Magn Reson 2016; 18:90. [PMID: 27908279 PMCID: PMC5134005 DOI: 10.1186/s12968-016-0309-3] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Accepted: 11/16/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND As a systemic disease, atherosclerosis commonly affects intracranial and extracranial carotid arteries simultaneously which is defined as co-existing plaques. Previous studies demonstrated that co-existing atherosclerotic diseases are significantly associated with ischemic cerebrovascular events. The aim of this study was to investigate the characteristics of co-existing intracranial and extracranial carotid atherosclerotic plaques and their relationships with recurrent stroke by using 3D multi-contrast magnetic resonance (MR) vessel wall imaging. METHODS Patients with recent cerebrovascular symptoms in anterior circulation and at least one carotid plaque were recruited. All patients underwent cardiovascular magnetic resonance (CMR) for brain and intracranial and extracranial arteries. Presence/absence of atherosclerotic plaque at each arterial segment was identified. The maximum wall thickness (Max WT), length, stenosis of each plaque was measured. The presence/absence of calcification, lipid-rich necrotic core (LRNC), and intraplaque hemorrhage (IPH) was assessed. Cerebral old and acute infarcts in anterior circulation were evaluated. RESULTS Fifty-eight patients (mean age: 58.0 ± 8.5 years old, 34 males) were recruited. Of the 58 patients, co-existing intracranial and extracranial carotid artery plaques were found in 45 patients (77.6%), of which 7 (15.6%) had first time acute stroke and 26 (57.8%) had recurrent stroke. For these 33 patients with stroke, the number of intracranial plaques (OR = 11.26; 95% CI, 1.27-100; p = 0.030) and co-existing intracranial and extracranial carotid artery plaques (OR = 2.42; 95% CI, 1.04-5.64; p = 0.040) was significantly associated with recurrent stroke. After adjusting for traditional risk factors, the number of co-existing plaques was still significantly correlated with recurrent stroke (OR = 3.31; 95% CI, 1.09-10.08; p = 0.035). No correlations were found between recurrent stroke and Max WT, length, stenosis, and compositions of plaques. CONCLUSIONS Co-existing intracranial and extracranial carotid artery plaques are prevalent in symptomatic patients and the number of co-existing plaques is independently associated with the risk of recurrent stroke.
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Affiliation(s)
- Yilan Xu
- Department of Radiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Chun Yuan
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
- Department of Radiology, University of Washington, Seattle, WA USA
| | - Zechen Zhou
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Le He
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Donghua Mi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Rui Li
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Yuanyuan Cui
- Department of Radiology, PLA General Hospital, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
| | - Gaifen Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
| | - Zhuozhao Zheng
- Department of Radiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Haidian District, 100084 Beijing, China
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Quantification of Lipid-Rich Core in Carotid Atherosclerosis Using Magnetic Resonance T 2 Mapping: Relation to Clinical Presentation. JACC Cardiovasc Imaging 2016; 10:747-756. [PMID: 27743954 PMCID: PMC5502905 DOI: 10.1016/j.jcmg.2016.06.013] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 06/07/2016] [Accepted: 06/15/2016] [Indexed: 11/23/2022]
Abstract
Objectives The aim of this study was to: 1) provide tissue validation of quantitative T2 mapping to measure plaque lipid content; and 2) investigate whether this technique could discern differences in plaque characteristics between symptom-related and non–symptom-related carotid plaques. Background Noninvasive plaque lipid quantification is appealing both for stratification in treatment selection and as a possible predictor of future plaque rupture. However, current cardiovascular magnetic resonance (CMR) methods are insensitive, require a coalesced mass of lipid core, and rely on multicontrast acquisition with contrast media and extensive post-processing. Methods Patients scheduled for carotid endarterectomy were recruited for 3-T carotid CMR before surgery. Lipid area was derived from segmented T2 maps and compared directly to plaque lipid defined by histology. Results Lipid area (%) on T2 mapping and histology showed excellent correlation, both by individual slices (R = 0.85, p < 0.001) and plaque average (R = 0.83, p < 0.001). Lipid area (%) on T2 maps was significantly higher in symptomatic compared with asymptomatic plaques (31.5 ± 3.7% vs. 15.8 ± 3.1%; p = 0.005) despite similar degrees of carotid stenosis and only modest difference in plaque volume (128.0 ± 6.0 mm3 symptomatic vs. 105.6 ± 9.4 mm3 asymptomatic; p = 0.04). Receiver-operating characteristic analysis showed that T2 mapping has a good ability to discriminate between symptomatic and asymptomatic plaques with 67% sensitivity and 91% specificity (area under the curve: 0.79; p = 0.012). Conclusions CMR T2 mapping distinguishes different plaque components and accurately quantifies plaque lipid content noninvasively. Compared with asymptomatic plaques, greater lipid content was found in symptomatic plaques despite similar degree of luminal stenosis and only modest difference in plaque volumes. This new technique may find a role in determining optimum treatment (e.g., providing an indication for intensive lipid lowering or by informing decisions of stents vs. surgery).
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Koppal S, Warntjes M, Swann J, Dyverfeldt P, Kihlberg J, Moreno R, Magee D, Roberts N, Zachrisson H, Forssell C, Länne T, Treanor D, de Muinck ED. Quantitative fat and R2* mapping in vivo to measure lipid-rich necrotic core and intraplaque hemorrhage in carotid atherosclerosis. Magn Reson Med 2016; 78:285-296. [PMID: 27510300 DOI: 10.1002/mrm.26359] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Revised: 06/29/2016] [Accepted: 07/07/2016] [Indexed: 11/08/2022]
Abstract
PURPOSE The aim of this work was to quantify the extent of lipid-rich necrotic core (LRNC) and intraplaque hemorrhage (IPH) in atherosclerotic plaques. METHODS Patients scheduled for carotid endarterectomy underwent four-point Dixon and T1-weighted magnetic resonance imaging (MRI) at 3 Tesla. Fat and R2* maps were generated from the Dixon sequence at the acquired spatial resolution of 0.60 × 0.60 × 0.70 mm voxel size. MRI and three-dimensional (3D) histology volumes of plaques were registered. The registration matrix was applied to segmentations denoting LRNC and IPH in 3D histology to split plaque volumes in regions with and without LRNC and IPH. RESULTS Five patients were included. Regarding volumes of LRNC identified by 3D histology, the average fat fraction by MRI was significantly higher inside LRNC than outside: 12.64 ± 0.2737% versus 9.294 ± 0.1762% (mean ± standard error of the mean [SEM]; P < 0.001). The same was true for IPH identified by 3D histology, R2* inside versus outside IPH was: 71.81 ± 1.276 s-1 versus 56.94 ± 0.9095 s-1 (mean ± SEM; P < 0.001). There was a strong correlation between the cumulative fat and the volume of LRNC from 3D histology (R2 = 0.92) as well as between cumulative R2* and IPH (R2 = 0.94). CONCLUSION Quantitative mapping of fat and R2* from Dixon MRI reliably quantifies the extent of LRNC and IPH. Magn Reson Med 78:285-296, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Sandeep Koppal
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Marcel Warntjes
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.,SyntheticMR AB, Linköping, Sweden
| | - Jeremy Swann
- School of Computing, University of Leeds, Leeds, United Kingdom
| | - Petter Dyverfeldt
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Johan Kihlberg
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Department of Radiology, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Rodrigo Moreno
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,KTH, Royal Institute of Technology, Stockholm, Sweden
| | - Derek Magee
- School of Computing, University of Leeds, Leeds, United Kingdom
| | - Nicholas Roberts
- Division of Brain Sciences, Department of Medicine, Institute of Neurology, Imperial College, London, United Kingdom
| | - Helene Zachrisson
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Claes Forssell
- Department of Thoracic and Vascular Surgery, and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Toste Länne
- Department of Thoracic and Vascular Surgery, and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Darren Treanor
- Department of Pathology and Tumor Biology, Leeds Institute of Molecular Medicine, University of Leeds, Leeds, United Kingdom.,Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Ebo D de Muinck
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
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45
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Jiang Y, Zhu C, Peng W, Degnan AJ, Chen L, Wang X, Liu Q, Wang Y, Xiang Z, Teng Z, Saloner D, Lu J. Ex-vivo imaging and plaque type classification of intracranial atherosclerotic plaque using high resolution MRI. Atherosclerosis 2016; 249:10-6. [PMID: 27062404 DOI: 10.1016/j.atherosclerosis.2016.03.033] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2015] [Revised: 03/23/2016] [Accepted: 03/24/2016] [Indexed: 10/22/2022]
Abstract
BACKGROUND AND AIMS Recent development of high resolution MRI techniques have enabled imaging of intracranial atherosclerotic plaque in vivo. However, identifying plaque composition remains challenging given the small size and the lack of histological validation. This study aims to quantify the relaxation times of intracranial plaque components ex vivo at 3 T and to determine whether multi-contrast MRI could classify intracranial plaque according to the American Heart Association classification with histological validation. METHODS A total of 53 intracranial arteries with atherosclerotic plaques from 20 cadavers (11 male, age 73.8 ± 10.9) were excised. Quantitative T1/T2/T2* mapping sequences and multi-contrast fast-spin echo sequences (T1, T2, proton-density weighted and short time inversion recovery) were acquired. Plaque components including: fibrous cap, lipid core, fibrous tissue, calcification, and healthy wall were segmented on histology, and their relaxation times were derived from quantitative images. Two radiologists independently classified plaque type blinded to the histology results. RESULTS Relaxation times of plaque components are distinct and different. T2 and T2* values of lipid core are lower than fibrous cap (p = 0.026 & p < 0.0001), but are comparable with fibrous tissue and healthy wall (p = 0.76 & p = 0.42). MRI reliably classified plaque type compared with histology (κ = 0.69) with an overall accuracy of 80.7%. The sensitivity and specificity using MRI to identify fibro-lipid atheroma (type IV-V) was 94.8% and 77.1%, respectively. Inter-observer agreement was excellent (κ = 0.77). CONCLUSION Intracranial plaque components have distinct and different relaxation times at 3 T. High-resolution MRI is able to characterize intracranial plaque composition and classify plaque types ex vivo at 3 T.
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Affiliation(s)
| | - Chengcheng Zhu
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA.
| | - Wenjia Peng
- Department of Radiology, Changhai Hospital, Shanghai, China
| | - Andrew J Degnan
- Department of Radiology, University of Pittsburgh, Pittsburgh, USA
| | - Luguang Chen
- Department of Radiology, Changhai Hospital, Shanghai, China
| | - Xinrui Wang
- Department of Radiology, Changhai Hospital, Shanghai, China
| | - Qi Liu
- Department of Radiology, Changhai Hospital, Shanghai, China
| | - Yang Wang
- Department of Pathology, Changhai Hospital, Shanghai, China
| | - Zhenzhen Xiang
- Department of Pathology, Changhai Hospital, Shanghai, China
| | - Zhongzhao Teng
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - David Saloner
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, USA
| | - Jianping Lu
- Department of Radiology, Changhai Hospital, Shanghai, China.
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46
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Pennell DJ, Baksi AJ, Prasad SK, Raphael CE, Kilner PJ, Mohiaddin RH, Alpendurada F, Babu-Narayan SV, Schneider J, Firmin DN. Review of Journal of Cardiovascular Magnetic Resonance 2014. J Cardiovasc Magn Reson 2015; 17:99. [PMID: 26589839 PMCID: PMC4654908 DOI: 10.1186/s12968-015-0203-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Accepted: 11/08/2015] [Indexed: 01/19/2023] Open
Abstract
There were 102 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2014, which is a 6% decrease on the 109 articles published in 2013. The quality of the submissions continues to increase. The 2013 JCMR Impact Factor (which is published in June 2014) fell to 4.72 from 5.11 for 2012 (as published in June 2013). The 2013 impact factor means that the JCMR papers that were published in 2011 and 2012 were cited on average 4.72 times in 2013. The impact factor undergoes natural variation according to citation rates of papers in the 2 years following publication, and is significantly influenced by highly cited papers such as official reports. However, the progress of the journal's impact over the last 5 years has been impressive. Our acceptance rate is <25% and has been falling because the number of articles being submitted has been increasing. In accordance with Open-Access publishing, the JCMR articles go on-line as they are accepted with no collating of the articles into sections or special thematic issues. For this reason, the Editors have felt that it is useful once per calendar year to summarize the papers for the readership into broad areas of interest or theme, so that areas of interest can be reviewed in a single article in relation to each other and other recent JCMR articles. The papers are presented in broad themes and set in context with related literature and previously published JCMR papers to guide continuity of thought in the journal. We hope that you find the open-access system increases wider reading and citation of your papers, and that you will continue to send your quality papers to JCMR for publication.
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Affiliation(s)
- D J Pennell
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - A J Baksi
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - S K Prasad
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - C E Raphael
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - P J Kilner
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - R H Mohiaddin
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - F Alpendurada
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - S V Babu-Narayan
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - J Schneider
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
| | - D N Firmin
- Cardiovascular Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust & Imperial College, Sydney Street, London, SW 3 6NP, UK.
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47
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Gao S, van 't Klooster R, van Wijk DF, Nederveen AJ, Lelieveldt BPF, van der Geest RJ. Repeatability of in vivo quantification of atherosclerotic carotid artery plaque components by supervised multispectral classification. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2015; 28:535-45. [PMID: 26162931 PMCID: PMC4651977 DOI: 10.1007/s10334-015-0495-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2015] [Revised: 06/24/2015] [Accepted: 06/29/2015] [Indexed: 12/17/2022]
Abstract
Objective
To evaluate the agreement and scan–rescan repeatability of automated and manual plaque segmentation for the quantification of in vivo carotid artery plaque components from multi-contrast MRI. Materials and methods Twenty-three patients with 30–70 % stenosis underwent two 3T MR carotid vessel wall exams within a 1 month interval. T1w, T2w, PDw and TOF images were acquired around the region of maximum vessel narrowing. Manual delineation of the vessel wall and plaque components (lipid, calcification, loose matrix) by an experienced observer provided the reference standard for training and evaluation of an automated plaque classifier. Areas of different plaque components and fibrous tissue were quantified and compared between segmentation methods and scan sessions. Results In total, 304 slices from 23 patients were included in the segmentation experiment, in which 144 aligned slice pairs were available for repeatability analysis. The correlation between manual and automated segmented areas was 0.35 for lipid, 0.66 for calcification, 0.50 for loose matrix and 0.82 for fibrous tissue. For the comparison between scan sessions, the coefficient of repeatability of area measurement obtained by automated segmentation was lower than by manual delineation for lipid (9.9 vs. 17.1 mm2), loose matrix (13.8 vs. 21.2 mm2) and fibrous tissue (24.6 vs. 35.0 mm2), and was similar for calcification (20.0 vs. 17.6 mm2). Conclusion Application of an automated classifier for segmentation of carotid vessel wall plaque components from in vivo MRI results in improved scan–rescan repeatability compared to manual analysis.
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Affiliation(s)
- Shan Gao
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Ronald van 't Klooster
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Diederik F van Wijk
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Boudewijn P F Lelieveldt
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Rob J van der Geest
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.
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48
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Xie Y, Yang Q, Xie G, Pang J, Fan Z, Li D. Improved black-blood imaging using DANTE-SPACE for simultaneous carotid and intracranial vessel wall evaluation. Magn Reson Med 2015; 75:2286-94. [PMID: 26152900 DOI: 10.1002/mrm.25785] [Citation(s) in RCA: 81] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 05/06/2015] [Accepted: 05/06/2015] [Indexed: 11/10/2022]
Abstract
PURPOSE The purpose of this study was to develop a three-dimensional black blood imaging method for simultaneously evaluating the carotid and intracranial arterial vessel walls with high spatial resolution and excellent blood suppression with and without contrast enhancement. METHODS The delay alternating with nutation for tailored excitation (DANTE) preparation module was incorporated into three-dimensional variable flip angle turbo spin echo (SPACE) sequence to improve blood signal suppression. Simulations and phantom studies were performed to quantify image contrast variations induced by DANTE. DANTE-SPACE, SPACE, and two-dimensional turbo spin echo were compared for apparent signal-to-noise ratio, contrast-to-noise ratio, and morphometric measurements in 14 healthy subjects. Preliminary clinical validation was performed in six symptomatic patients. RESULTS Apparent residual luminal blood was observed in five (pre-contrast) and nine (post-contrast) subjects with SPACE and only two (post-contrast) subjects with DANTE-SPACE. DANTE-SPACE showed 31% (pre-contrast) and 100% (post-contrast) improvement in wall-to-blood contrast-to-noise ratio over SPACE. Vessel wall area measured from SPACE was significantly larger than that from DANTE-SPACE due to possible residual blood signal contamination. DANTE-SPACE showed the potential to detect vessel wall dissection and identify plaque components in patients. CONCLUSION DANTE-SPACE significantly improved arterial and venous blood suppression compared with SPACE. Simultaneous high-resolution carotid and intracranial vessel wall imaging to potentially identify plaque components was feasible with a scan time under 6 min. Magn Reson Med 75:2286-2294, 2016. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Yibin Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Bioengineering, University of California, Los Angeles, California, USA
| | - Qi Yang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Guoxi Xie
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Shenzhen Key Lab for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jianing Pang
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Zhaoyang Fan
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Debiao Li
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.,Department of Bioengineering, University of California, Los Angeles, California, USA
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49
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Pennell DJ, Baksi AJ, Kilner PJ, Mohiaddin RH, Prasad SK, Alpendurada F, Babu-Narayan SV, Neubauer S, Firmin DN. Review of Journal of Cardiovascular Magnetic Resonance 2013. J Cardiovasc Magn Reson 2014; 16:100. [PMID: 25475898 PMCID: PMC4256918 DOI: 10.1186/s12968-014-0100-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Accepted: 11/21/2014] [Indexed: 01/19/2023] Open
Abstract
There were 109 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2013, which is a 21% increase on the 90 articles published in 2012. The quality of the submissions continues to increase. The editors are delighted to report that the 2012 JCMR Impact Factor (which is published in June 2013) has risen to 5.11, up from 4.44 for 2011 (as published in June 2012), a 15% increase and taking us through the 5 threshold for the first time. The 2012 impact factor means that the JCMR papers that were published in 2010 and 2011 were cited on average 5.11 times in 2012. The impact factor undergoes natural variation according to citation rates of papers in the 2 years following publication, and is significantly influenced by highly cited papers such as official reports. However, the progress of the journal's impact over the last 5 years has been impressive. Our acceptance rate is <25% and has been falling because the number of articles being submitted has been increasing. In accordance with Open-Access publishing, the JCMR articles go on-line as they are accepted with no collating of the articles into sections or special thematic issues. For this reason, the Editors have felt that it is useful once per calendar year to summarize the papers for the readership into broad areas of interest or theme, so that areas of interest can be reviewed in a single article in relation to each other and other recent JCMR articles. The papers are presented in broad themes and set in context with related literature and previously published JCMR papers to guide continuity of thought in the journal. We hope that you find the open-access system increases wider reading and citation of your papers, and that you will continue to send your quality manuscripts to JCMR for publication.
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Affiliation(s)
- Dudley John Pennell
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Arun John Baksi
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Philip John Kilner
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Raad Hashem Mohiaddin
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Sanjay Kumar Prasad
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Francisco Alpendurada
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | - Sonya Vidya Babu-Narayan
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
| | | | - David Nigel Firmin
- />Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP UK
- />Imperial College, London, UK
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50
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Li L, Chai JT, Biasiolli L, Robson MD, Choudhury RP, Handa AI, Near J, Jezzard P. Black-Blood Multicontrast Imaging of Carotid Arteries with DANTE-prepared 2D and 3D MR Imaging. Radiology 2014; 273:560-9. [DOI: 10.1148/radiol.14131717] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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