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Kurosaki Y, Kinosada M, Ikeda H, Yamashita H, Yoshida K, Chin M. Progressive T1 high-intensity plaques in carotid stenosis: Comparative MRI analyses in asymptomatic and symptomatic phases of low-grade stenosis. J Neuroradiol 2024; 51:101223. [PMID: 39424099 DOI: 10.1016/j.neurad.2024.101223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2024] [Revised: 10/12/2024] [Accepted: 10/12/2024] [Indexed: 10/21/2024]
Abstract
BACKGROUND AND PURPOSE Carotid artery stenosis, particularly the progression from asymptomatic to symptomatic lesions, is a key factor in cerebrovascular events. This study identifies predictors of symptom development in low-grade carotid stenosis (<50%), focusing on intraplaque hemorrhage (IPH) and dynamic plaque changes. MATERIALS AND METHODS We conducted a retrospective study analyzing 30 cases of symptomatic low-grade carotid stenosis, using carotid MRI before and after symptom onset. Key measures included relative plaque signal intensity (rSI) and high-intensity plaque (HI plaque) volume. Stepwise regression analysis examined the influence of these factors on Symptomatic rSI, Symptomatic plaque volume, and NIHSS scores. RESULTS Significant increases were observed in rSI (1.32 ± 0.32 to 1.69 ± 0.25, p < 0.001) and HI plaque volume (296.4 ± 362.7 mm³ to 717.5 ± 554.9 mm³, p < 0.001) from asymptomatic to symptomatic phases. Past smoking (p = 0.008) and statin use (p = 0.04) were associated with higher Symptomatic rSI, while poor risk factor control (p = 0.03) was negatively associated. Female sex (p = 0.007) and current smoking (p = 0.009) were linked to smaller Symptomatic plaque volumes, while ischemic heart disease (p = 0.0002) and poor risk factor control (p = 0.002) predicted larger plaque volumes. Larger plaques were correlated with higher NIHSS scores (p = 0.002). CONCLUSIONS IPH and plaque volume are key markers of progression in low-grade carotid stenosis. Poor control of cardiovascular risk factors and a history of ischemic heart disease contribute to plaque burden and stroke severity. Continuous monitoring and strict risk management are essential in reducing stroke severity in these patients.
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Affiliation(s)
- Yoshitaka Kurosaki
- Department of Neurosurgery, Kurashiki Central Hospital, Kurashiki, 710-8602, Japan.
| | - Masanori Kinosada
- Department of Neurosurgery, Kurashiki Central Hospital, Kurashiki, 710-8602, Japan
| | - Hiroyuki Ikeda
- Department of Neurosurgery, Kurashiki Central Hospital, Kurashiki, 710-8602, Japan
| | - Haruki Yamashita
- Department of Neurosurgery, Kyoto University School of Medicine, Kyoto, 606-8501, Japan
| | - Kazumichi Yoshida
- Department of Neurosurgery, Shiga University School of Medicine, 520-2192, Otsu, Japan
| | - Masaki Chin
- Department of Neurosurgery, Kurashiki Central Hospital, Kurashiki, 710-8602, Japan
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2
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Yuan C, Canton G, Hatsukami TS. Unfinished debate: Why IPH-based metrics are still needed-An Editorial for "Signal intensity and volume of carotid intraplaque hemorrhage on magnetic resonance imaging and the risk of ipsilateral cerebrovascular events: the Plaque At RISK (PARISK) study". J Cardiovasc Magn Reson 2024; 26:101071. [PMID: 39121951 PMCID: PMC11421226 DOI: 10.1016/j.jocmr.2024.101071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024] Open
Affiliation(s)
- Chun Yuan
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah, USA; Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Gador Canton
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Thomas S Hatsukami
- Department of Surgery, University of Washington, Seattle, Washington, USA
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3
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Nies KPH, Aizaz M, van Dam-Nolen DHK, Goring TCD, Schreuder TAHCML, van Orshoven NP, Postma AA, Bos D, Hendrikse J, Nederkoorn P, van der Geest R, van Oostenbrugge RJ, Mess WH, Kooi ME. Signal intensity and volume of carotid intraplaque hemorrhage on magnetic resonance imaging and the risk of ipsilateral cerebrovascular events: The Plaque At RISK (PARISK) study. J Cardiovasc Magn Reson 2024; 26:101049. [PMID: 38878969 PMCID: PMC11282977 DOI: 10.1016/j.jocmr.2024.101049] [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: 03/13/2024] [Revised: 05/17/2024] [Accepted: 06/06/2024] [Indexed: 07/08/2024] Open
Abstract
BACKGROUND The Plaque At RISK (PARISK) study demonstrated that patients with a carotid plaque with intraplaque hemorrhage (IPH) have an increased risk of recurrent ipsilateral ischemic cerebrovascular events. It was previously reported that symptomatic carotid plaques with IPH showed higher IPH signal intensity ratios (SIR) and larger IPH volumes than asymptomatic plaques. We explored whether IPH SIR and IPH volume are associated with future ipsilateral ischemic cerebrovascular events beyond the presence of IPH. METHODS Transient ischemic attack and ischemic stroke patients with mild-to-moderate carotid stenosis and an ipsilateral IPH-positive carotid plaque (n = 89) from the PARISK study were included. The clinical endpoint was a new ipsilateral ischemic cerebrovascular event during 5 years of follow-up, while the imaging-based endpoint was a new ipsilateral brain infarct on brain magnetic resonance imaging (MRI) after 2 years (n = 69). Trained observers delineated IPH, a hyperintense region compared to surrounding muscle tissue on hyper T1-weighted magnetic resonance images. The IPH SIR was the maximal signal intensity in the IPH region divided by the mean signal intensity of adjacent muscle tissue. The associations between IPH SIR or volume and the clinical and imaging-based endpoint were investigated using Cox proportional hazard models and logistic regression, respectively. RESULTS During 5.1 (interquartile range: 3.1-5.6) years of follow-up, 21 ipsilateral cerebrovascular ischemic events were identified. Twelve new ipsilateral brain infarcts were identified on the 2-year neuro MRI. There was no association for IPH SIR or IPH volume with the clinical endpoint (hazard ratio (HR): 0.89 [95% confidence interval: 0.67-1.10] and HR: 0.91 [0.69-1.19] per 100-µL increase, respectively) nor with the imaging-based endpoint (odds ratio (OR): 1.04 [0.75-1.45] and OR: 1.21 [0.87-1.68] per 100-µL increase, respectively). CONCLUSION IPH SIR and IPH volume were not associated with future ipsilateral ischemic cerebrovascular events. Therefore, quantitative assessment of IPH of SIR and volume does not seem to provide additional value beyond the presence of IPH for stroke risk assessment. TRIAL REGISTRATION The PARISK study was registered on ClinicalTrials.gov with ID NCT01208025 on September 21, 2010 (https://clinicaltrials.gov/study/NCT01208025).
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Affiliation(s)
- Kelly P H Nies
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Mueez Aizaz
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Dianne H K van Dam-Nolen
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Neurology, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Timothy C D Goring
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | | | - Narender P van Orshoven
- Department of Neurology, Zuyderland Medical Center, Heerlen, the Netherlands; Department of Neurology, Zuyderland Medical Center, Sittard, the Netherlands
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs) Maastricht University, Maastricht, the Netherlands
| | - Daniel Bos
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Jeroen Hendrikse
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Paul Nederkoorn
- Department of Neurology, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Rob van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Robert J van Oostenbrugge
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Werner H Mess
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Clinical Neurophysiology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - M Eline Kooi
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.
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4
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Zhang L, Xu X, Zhang X, Jiang S, Hui P. Systemic immune-inflammation index is associated with ulcerative plaque in patients with acute ischemic stroke: A single center exploratory study. JOURNAL OF CLINICAL ULTRASOUND : JCU 2024; 52:295-304. [PMID: 38143429 DOI: 10.1002/jcu.23632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/09/2023] [Accepted: 12/12/2023] [Indexed: 12/26/2023]
Abstract
PURPOSE This study explored the correlation between inflammatory markers and ulcerative plaques based on carotid doppler ultrasound (CDU) in individuals with acute ischemic stroke (AIS). METHODS A total of 202 cases diagnosed with AIS associated with atherosclerotic plaque (AP) in the carotid artery were enrolled in this research. Collecting clinical baseline data, laboratory data (such as the complete blood count) and imaging data (CDU and Brain magnetic resonance imaging [MRI]). Then the correlation between Systemic immune-inflammation index (SII, SII = P N/L, where P, N, and L were the peripheral blood platelet, neutrophil and lymphocyte counts, respectively), the shape and position of AP, the degree of carotid artery stenosis, and the presence of ulcerative plaques. Cutoff values were determined accordingly. RESULTS SII and high sensitivity CRP (hs-CRP) were independent risk factors for the presence of vulnerable carotid plaques. SII, type A plaque, plaque above carotid bifurcation, and severe carotid stenosis were independent risk factors for the presence of ulcerative plaque. The AUC value, the sensitivity, specificity, the best cutoff value of SII in predicting the presence of ulcerative plaque was 0.895, 93.3%, 89.2%, and 537.4 (109 /L), respectively. CONCLUSION SII at admission was found to be independently associated with the presence of AIS with vulnerable plaque, especially ulcerative plaques. Moreover, plaque ulceration was more likely to form when the area of higher plaque thickness was located in the upstream arterial wall of maximum plaque thickness (WTmax), plaque was above the carotid bifurcation and severe carotid stenosis.
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Affiliation(s)
- Lianlian Zhang
- Department of Ultrasound, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, Jiangsu, China
- Department of Stroke Center, The First Affiliated Hospital of Soochow University, Jiangsu, China
| | - Xinchun Xu
- Department of Stroke Center, The First Affiliated Hospital of Soochow University, Jiangsu, China
| | - Xinyuan Zhang
- Department of Ultrasound, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, Jiangsu, China
| | - Shu Jiang
- Department of Stroke Center, The First Affiliated Hospital of Soochow University, Jiangsu, China
- Department of Magnetic Resonance, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, Jiangsu, China
| | - Pinjing Hui
- Department of Stroke Center, The First Affiliated Hospital of Soochow University, Jiangsu, China
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Benson JC, Saba L, Bathla G, Brinjikji W, Nardi V, Lanzino G. MR Imaging of Carotid Artery Atherosclerosis: Updated Evidence on High-Risk Plaque Features and Emerging Trends. AJNR Am J Neuroradiol 2023; 44:880-888. [PMID: 37385681 PMCID: PMC10411837 DOI: 10.3174/ajnr.a7921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/14/2023] [Indexed: 07/01/2023]
Abstract
MR imaging is well-established as the criterion standard for carotid artery atherosclerosis imaging. The capability of MR imaging to differentiate numerous plaque components has been demonstrated, including those features that are associated with a high risk of sudden changes, thrombosis, or embolization. The field of carotid plaque MR imaging is constantly evolving, with continued insight into the imaging appearance and implications of various vulnerable plaque characteristics. This article will review the most up-to-date knowledge of these high-risk plaque features on MR imaging and will delve into 2 major emerging topics: the role of vulnerable plaques in cryptogenic strokes and the potential use of MR imaging to modify carotid endarterectomy treatment guidelines.
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Affiliation(s)
- J C Benson
- From the Departments of Radiology (J.C.B., G.B., W.B.)
| | - L Saba
- Department of Medical Sciences (L.S.), University of Cagliari, Cagliari, Italy
| | - G Bathla
- From the Departments of Radiology (J.C.B., G.B., W.B.)
| | - W Brinjikji
- From the Departments of Radiology (J.C.B., G.B., W.B.)
| | - V Nardi
- Cardiovascular Medicine (V.N.)
| | - G Lanzino
- Neurosurgery (G.L.), Mayo Clinic, Rochester, Minnesota
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6
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Mingming L, Peng P, Lichen Z, Shaohua L, Fei Y, Hongtao Z, Shitong L, Yao H, Xihai Z, Jianming C. Predictors of Progression in Intraplaque Hemorrhage Volume in Patients With Carotid Atherosclerosis: A Serial Magnetic Resonance Imaging Study. Front Neurol 2022; 13:815150. [PMID: 35911916 PMCID: PMC9334903 DOI: 10.3389/fneur.2022.815150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 06/14/2022] [Indexed: 11/13/2022] Open
Abstract
Background and PurposeThis study aimed to investigate the arterial disease risk factors for the progression of intraplaque hemorrhage (IPH) in patients with carotid atherosclerosis using serial high-resolution magnetic resonance (MR) imaging.MethodsConsecutive symptomatic patients who had MRI evidence of intraplaque hemorrhage present in the ipsilateral carotid artery with respect to the side of the brain affected by stroke or TIA were recruited in the study. All the patients underwent follow-up MR imaging at least 6 months after baseline. The annual change in IPH and other carotid plaque morphology was calculated, and a tertile method was used to classify the plaques as progressed or not with respect to IPH volume using the software CASCADE. Logistic regression and receiver operating characteristic (ROC) curve were conducted to evaluate the risk factors for the progression of IPH.ResultsA total of thirty-four symptomatic patients (mean age: 67.1 years, standard deviation [SD]: 9.8 years, 27 men) were eligible for the final analysis, and contralateral plaques containing IPH were seen in 11 of these patients (making 45 plaques with IPH in total). During mean 16.6-month (SD: 11.0 months) follow-up, the overall annual change in IPH volume in 45 plaques with IPH was mean −10.9 mm3 (SD: 49.1 mm3). Carotid plaques were significantly more likely to be classified in progressed IPH group if the patient was taking antiplatelet agent at baseline (OR: 9.76; 95%CI: 1.05 to 90.56; p = 0.045), had a baseline history of current or past smoking (OR: 9.28; 95%CI: 1.26 to 68.31; p = 0.029), or had a larger baseline carotid plaque-containing vessel wall volume (OR: 1.36 per 10 mm3; 95%CI: 1.02 to 1.81; p = 0.032) after adjustments for confounding factors. ROC analysis indicated that the combination of these three risk factors in the final model produced good discriminatory value for the progressed IPH group (area under the curve: 0.887).ConclusionsTaking an antiplatelet agent at baseline, a baseline history of current or past smoking and larger baseline carotid plaque-containing vessel wall volume were independently predictive of plaques being in the progressed IPH group. Our findings indicate that awareness and management of such risk factors may reduce the risk of intraplaque hemorrhage progression.
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Affiliation(s)
- Lu Mingming
- Department of Radiology, The Fifth Medical Center of PLA General Hospital, Beijing, China
- Department of Radiology, Pingjin Hospital, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, China
| | - Peng Peng
- Department of Radiology, Pingjin Hospital, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, China
| | - Zhang Lichen
- Department of Radiology, The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Liu Shaohua
- State Key Laboratory of Kidney Disease, Beijing Key Laboratory of Aging and Geriatrics, The Second Medical Center of PLA General Hospital, Institute of Geriatrics, Beijing, China
| | - Yuan Fei
- Department of Radiology, Pingjin Hospital, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, China
| | - Zhang Hongtao
- Department of Radiology, The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Liu Shitong
- Department of Radiology, The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - He Yao
- State Key Laboratory of Kidney Disease, Beijing Key Laboratory of Aging and Geriatrics, The Second Medical Center of PLA General Hospital, Institute of Geriatrics, Beijing, China
- He Yao
| | - Zhao Xihai
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
- Zhao Xihai
| | - Cai Jianming
- Department of Radiology, The Fifth Medical Center of PLA General Hospital, Beijing, China
- *Correspondence: Cai Jianming
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7
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Larson AS, Brinjikji W, Kroll NJ, Savastano L, Huston J, Benson JC. Normalized intraplaque hemorrhage signal on MP-RAGE as a marker for acute ischemic neurological events. Neuroradiol J 2022; 35:112-118. [PMID: 34224247 PMCID: PMC8826295 DOI: 10.1177/19714009211029263] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
PURPOSE This study sought to validate whether the signal intensity ratio (SIR) of carotid intraplaque hemorrhage (IPH) was associated with acute ischemic neurologic events. METHODS A retrospective review was completed of consecutive patients that underwent neck magnetic resonance angiography using magnetization prepared-rapid gradient echo (MP-RAGE) and T1-CUBE sequences between 2017 and 2020. Patients with magnetic resonance evidence of IPH were included. SIRs were measured by comparing the maximum IPH signal with the mean intramuscular signal from the adjacent sternocleidomastoid. Patients were stratified into ischemic or non-ischemic groups based on the presence of acute ipsilateral ischemic events (stroke, retinal artery occlusion). Logistic regression analysis was performed to determine if increasing IPH SIR was associated with an increased risk of ipsilateral ischemic events. RESULTS Of 85 included patients (85 arteries), 66 were male (77.6%). Mean age was 71.0 (SD ± 11.1). There were 70 arteries with IPH that were ipsilateral to an ischemic event, and 15 that belonged to patients without an ischemic event. No association was found between increasing IPH SIR seen on MP-RAGE (odds ratio (OR): 0.82; 95% confidence interval (CI): 0.58-1.4; P = 0.43) or T1-CUBE sequences (OR: 0.85; 95% CI: 0.53-1.5; P = 0.56). CONCLUSIONS There was no association between the SIR of IPH and acute ischemia on either MP-RAGE or T1-CUBE sequences. Further investigation is required prior to widespread acceptance of SIR as a predictive imaging marker of symptomatic carotid plaque.
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Affiliation(s)
- Anthony S Larson
- Department of Radiology, Mayo
Clinic, USA,Department of Neurosurgery, Mayo
Clinic, USA,Anthony S Larson, Department of Radiology,
Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
| | - Waleed Brinjikji
- Department of Radiology, Mayo
Clinic, USA,Department of Neurosurgery, Mayo
Clinic, USA
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Nakagawa I, Kotsugi M, Park H, Furuta T, Sato F, Myochin K, Nishimura F, Yamada S, Motoyama Y, Nakase H. Near-infrared spectroscopy carotid plaque characteristics and cerebral embolism in carotid artery stenting. EUROINTERVENTION 2021; 17:599-606. [PMID: 33283761 PMCID: PMC9725057 DOI: 10.4244/eij-d-20-01050] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Perioperative thromboembolism is the main consideration in carotid artery stenting (CAS). Precise evaluation of carotid plaque components is clinically important to reduce ischaemic complications since CAS mechanically pushes plaque outwards, which releases plaque debris into the bloodstream. AIMS This study aimed to determine whether high lipid core plaque (LCP) assessed by catheter-based near-infrared spectroscopy (NIRS) is associated with ipsilateral cerebral embolism by diffusion-weighted magnetic resonance imaging during CAS using a first-generation stent. METHODS Carotid stenosis magnetic resonance (MR) T1-weighted plaque signal intensity ratio (T1W-SIR) followed by NIRS assessment at the time of CAS (using the carotid artery Wallstent) was performed in 117 consecutive patients. RESULTS The maximum lipid core burden index (max-LCBI) at minimal luminal areas (MLA; max-LCBIMLA) and the max-LCBI for any 4 mm segment in a target lesion defined as max-LCBIarea were significantly higher for the post-procedural new ipsilateral diffusion-weighted magnetic resonance imaging (DWI)-positive than negative patients (p<0.001 for all). There was a significant linear correlation between max-LCBIarea and the number of new emboli (r=0.544, p<0.0001). We also found that the second quantile (Q2) of T1W-SIRMLA had a significantly higher max-LCBIMLA and a higher incidence of DWI positivity than Q1 and Q3 (p<0.001 for all). Furthermore, max-LCBIMLA appeared to distinguish between patients with and without postoperative new ipsilateral DWI positivity (AUC 0.91, 95% CI: 0.86-0.96; p<0.0001). CONCLUSIONS High LCP assessed by NIRS is associated with cerebral embolism by diffusion-weighted imaging in CAS using a first-generation stent.
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Affiliation(s)
- Ichiro Nakagawa
- Department of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan
| | - Masashi Kotsugi
- Department of Neurosurgery, Nara Medical University, Nara, Japan
| | - Hun Park
- Department of Neurosurgery, Nara Medical University, Nara, Japan
| | - Takanori Furuta
- Department of Neurosurgery, Nara Medical University, Nara, Japan
| | - Fumiya Sato
- Department of Neurosurgery, Nara Medical University, Nara, Japan
| | - Kaoru Myochin
- Department of Radiology, Nara Medical University, Nara, Japan
| | | | - Syuichi Yamada
- Department of Neurosurgery, Nara Medical University, Nara, Japan
| | - Yasushi Motoyama
- Department of Neurosurgery, Nara Medical University, Nara, Japan
| | - Hiroyuki Nakase
- Department of Neurosurgery, Nara Medical University, Nara, Japan
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Xin R, Yang D, Xu H, Han H, Li J, Miao Y, Du Z, Ding Q, Deng S, Ning Z, Shen R, Li R, Li C, Yuan C, Zhao X. Comparing Symptomatic and Asymptomatic Carotid Artery Atherosclerosis in Patients With Bilateral Carotid Vulnerable Plaques Using Magnetic Resonance Imaging. Angiology 2021; 73:104-111. [PMID: 34018407 DOI: 10.1177/00033197211012531] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
We compared plaque characteristics between symptomatic and asymptomatic sides in patients with bilateral carotid vulnerable plaques using magnetic resonance imaging (MRI). Participants (n = 67; mean age: 65.8 ± 7.7 years, 61 males) with bilateral carotid vulnerable plaques were included. Vulnerable plaques were characterized by intraplaque hemorrhage (IPH), large lipid-rich necrotic core (LRNC), or fibrous cap rupture (FCR) on MRI. Symptomatic vulnerable plaques showed greater plaque burden, LRNC volume (median: 221.4 vs 134.8 mm3, P = .003), IPH volume (median: 32.2 vs 22.5 mm3, P = .030), maximum percentage (Max%) LRNC (median: 51.3% vs 41.8%, P = .002), Max%IPH (median: 13.4% vs 9.5%, P = .022), cumulative slices of LRNC (median: 10 vs 8, P = .005), and more juxtaluminal IPH and/or thrombus (29.9% vs 6.0%, P = .001) and FCR (37.3% vs 16.4%, P = .007) than asymptomatic ones. After adjusting for plaque burden, differences in juxtaluminal IPH and/or thrombus (odds ratio [OR]: 5.49, 95% CI: 1.61-18.75, P = .007) and FCR (OR: 2.90, 95% CI: 1.16-7.24, P = .022) between bilateral sides remained statistically significant. For patients with bilateral carotid vulnerable plaques, symptomatic plaques had greater burden, more juxtaluminal IPH and/or thrombus, and FCR compared with asymptomatic ones. The differences in juxtaluminal IPH and/or thrombus and FCR between bilateral sides were independent of plaque burden.
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Affiliation(s)
- Ruijing Xin
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Dandan Yang
- Center for Brain Disorders Research, Capital Medical University and Beijing Institute of Brain Disorders, Beijing, China
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, 118223Tsinghua University School of Medicine, Beijing, China
| | - Huimin Xu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, 118223Tsinghua University School of Medicine, Beijing, China
| | - Jin Li
- Department of Radiology, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Yingyu Miao
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Ziwei Du
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Qian Ding
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Shasha Deng
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, 118223Tsinghua University School of Medicine, Beijing, China
| | - Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, 118223Tsinghua University School of Medicine, Beijing, China
| | - Rui Li
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, 118223Tsinghua University School of Medicine, Beijing, China
| | - Cheng Li
- Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China
| | - Chun Yuan
- Department of Radiology, 7284University of Washington, Seattle, USA
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, 118223Tsinghua University School of Medicine, Beijing, China
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Li Y, Wang Y, Qi H, Hu Z, Chen Z, Yang R, Qiao H, Sun J, Wang T, Zhao X, Guo H, Chen H. Deep learning-enhanced T 1 mapping with spatial-temporal and physical constraint. Magn Reson Med 2021; 86:1647-1661. [PMID: 33821529 DOI: 10.1002/mrm.28793] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 03/07/2021] [Accepted: 03/15/2021] [Indexed: 12/20/2022]
Abstract
PURPOSE To propose a reconstruction framework to generate accurate T1 maps for a fast MR T1 mapping sequence. METHODS A deep learning-enhanced T1 mapping method with spatial-temporal and physical constraint (DAINTY) was proposed. This method explicitly imposed low-rank and sparsity constraints on the multiframe T1 -weighted images to exploit the spatial-temporal correlation. A deep neural network was used to efficiently perform T1 mapping as well as denoise and reduce undersampling artifacts. Additionally, the physical constraint was used to build a bridge between low-rank and sparsity constraint and deep learning prior, so the benefits of constrained reconstruction and deep learning can be both available. The DAINTY method was trained on simulated brain data sets, but tested on real acquired phantom, 6 healthy volunteers, and 7 atherosclerosis patients, compared with the narrow-band k-space-weighted image contrast filter conjugate-gradient SENSE (NK-CS) method, kt-sparse-SENSE (kt-SS) method, and low-rank plus sparsity (L+S) method with least-squares T1 fitting and direct deep learning mapping. RESULTS The DAINTY method can generate more accurate T1 maps and higher-quality T1 -weighted images compared with other methods. For atherosclerosis patients, the intraplaque hemorrhage can be successfully detected. The computation speed of DAINTY was 10 times faster than traditional methods. Meanwhile, DAINTY can reconstruct images with comparable quality using only 50% of k-space data. CONCLUSION The proposed method can provide accurate T1 maps and good-quality T1 -weighted images with high efficiency.
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Affiliation(s)
- Yuze Li
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Yajie Wang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Haikun Qi
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - Zhangxuan Hu
- GE Healthcare, MR Research China, Beijing, China
| | - Zhensen Chen
- Vascular Imaging Lab and BioMolecular Imaging Center, Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Runyu Yang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Jie Sun
- GE Healthcare, MR Research China, Beijing, China
| | - Tao Wang
- Department of Neurology, Peking University Third Hospital, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Hua Guo
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
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11
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Yuan C, Miller Z, Zhao XQ. Magnetic Resonance Imaging: Cardiovascular Applications for Clinical Trials. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00059-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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12
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Histological validation of simultaneous non-contrast angiography and intraplaque hemorrhage imaging (SNAP) for characterizing carotid intraplaque hemorrhage. Eur Radiol 2020; 31:3106-3115. [PMID: 33052465 DOI: 10.1007/s00330-020-07352-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/17/2020] [Accepted: 09/24/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES This study sought to validate the performance of simultaneous non-contrast angiography and intraplaque hemorrhage (SNAP) imaging in characterizing carotid IPH by histology. METHODS Thirty-five patients with carotid atherosclerotic disease (symptomatic 50-70% stenosis or > 70% stenosis) scheduled for carotid endarterectomy underwent 3.0-T carotid MR imaging by acquiring SNAP and magnetization-prepared rapid acquisition gradient-echo (MP-RAGE) sequences. Presence and area of IPH were separately evaluated on SNAP and MP-RAGE images. Presence and area of IPH were also assessed on histology. Agreement between SNAP/MP-RAGE and histology was determined in identify and quantify IPH using Cohen kappa, Spearman correlation, and Bland-Altman analyses. RESULTS Of all 35 patients (mean age: 63.1 ± 8.8 years; 27 males), 128 slices with successful registration were eligible for analysis. The accuracy, sensitivity, specificity, and positive and negative predictive values were 86.7%, 85%, 89.6%, 93.2%, and 78.2% for SNAP, and 76.6%, 75%, 79.2%, 85.7%, and 65.5% for MP-RAGE in identification of IPH, respectively. In identification of IPH, the kappa value between SNAP and histology and between MP-RAGE and histology was 0.725 and 0.520, respectively. The correlation between SNAP and histology (r = 0.805, p < 0.001) was stronger than that between MP-RAGE and histology (r = 0.637, p < 0.001) in measuring IPH area. Bland-Altman analysis showed that, in measuring IPH area, the bias of SNAP (1.4 mm2, 95% CI: - 0.016 to 2.883) was smaller than that of MP-RAGE (1.7 mm2, 95% CI: - 0.039 to 3.430) compared with histology. CONCLUSIONS This validation study by histology demonstrates that SNAP sequence better identifies and quantifies carotid intraplaque hemorrhage compared with traditional MP-RAGE sequence. KEY POINTS • SNAP imaging showed better agreement with histology compared with MP-RAGE imaging, especially for the IPHs with small size. • SNAP sequence is a more effective tool to identify and quantify carotid IPH than traditional sequence of MP-RAGE that can help clinicians to optimizing the treatment strategy. • The plaque components of rich lipid pools or loose matrix and chronic/old IPH (cholesterol crystals) can lead to false positive and false negative results in SNAP and MP-RAGE imaging for identifying IPH.
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13
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Mura M, Della Schiava N, Long A, Chirico EN, Pialoux V, Millon A. Carotid intraplaque haemorrhage: pathogenesis, histological classification, imaging methods and clinical value. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:1273. [PMID: 33178805 PMCID: PMC7607119 DOI: 10.21037/atm-20-1974] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Vulnerable carotid atherosclerotic plaques are characterised by several risk factors, such as inflammation, neovascularization and intraplaque haemorrhage (IPH). Vulnerable plaques can lead to ischemic events such as stroke. Many studies reported a relationship between IPH, plaque rupture, and ischemic stroke. Histology is the gold standard to evaluate IPH, but it required carotid endarterectomy (CEA) surgery to collect the tissue sample. In this context, several imaging methods can be used as a non-invasive way to evaluate plaque vulnerability and detect IPH. Most imaging studies showed that IPH is associated with plaque vulnerability and stroke, with magnetic resonance imaging (MRI) being the most sensitive and specific to detect IPH as a predictor of ischemic events. These conclusions are however still debated because of the limited number of patients included in these studies; further studies are required to better assess risks associated with different IPH stages. Moreover, IPH is implicated in plaque vulnerability with other risk factors which need to be considered to predict ischemic risk. In addition, MRI sequences standardization is required to compare results from different studies and agree on biomarkers that need to be considered to predict plaque rupture. In these circumstances, IPH detection by MRI could be an efficient clinical method to predict stroke. The goal of this review article is to first describe the pathophysiological process responsible for IPH, its histological detection in carotid plaques and its correlation with plaque rupture. The second part will discuss the benefits and limitations of imaging the carotid plaque, and finally the clinical interest of imaging IPH to predict plaque rupture, focusing on MRI-IPH.
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Affiliation(s)
- Mathilde Mura
- Univ Lyon, University Claude Bernard Lyon 1, Interuniversity Laboratory of Human Movement Biology EA7424, Lyon, France
| | - Nellie Della Schiava
- Department of Vascular and Endovascular Surgery, Groupement Hospitalier Est, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France.,Institut National des Sciences Appliquées Lyon, Laboratoire de Génie Electrique et Ferroélectricité EA 682, Villeurbanne, France
| | - Anne Long
- Univ Lyon, University Claude Bernard Lyon 1, Interuniversity Laboratory of Human Movement Biology EA7424, Lyon, France.,Departement of Internal Medicine and Vascular Medicine, Groupement Hospitalier Edouard Herriot, Hospices Civils de Lyon, Lyon, France
| | - Erica N Chirico
- Department of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Vincent Pialoux
- Univ Lyon, University Claude Bernard Lyon 1, Interuniversity Laboratory of Human Movement Biology EA7424, Lyon, France.,Institut Universitaire de France, Paris, France
| | - Antoine Millon
- Department of Vascular and Endovascular Surgery, Groupement Hospitalier Est, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France.,Univ Lyon, University Claude Bernard Lyon 1, CarMeN Laboratory, INSERM U1060, Bron, France
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14
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Zhu G, Hom J, Li Y, Jiang B, Rodriguez F, Fleischmann D, Saloner D, Porcu M, Zhang Y, Saba L, Wintermark M. Carotid plaque imaging and the risk of atherosclerotic cardiovascular disease. Cardiovasc Diagn Ther 2020; 10:1048-1067. [PMID: 32968660 DOI: 10.21037/cdt.2020.03.10] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Carotid artery plaque is a measure of atherosclerosis and is associated with future risk of atherosclerotic cardiovascular disease (ASCVD), which encompasses coronary, cerebrovascular, and peripheral arterial diseases. With advanced imaging techniques, computerized tomography (CT) and magnetic resonance imaging (MRI) have shown their potential superiority to routine ultrasound to detect features of carotid plaque vulnerability, such as intraplaque hemorrhage (IPH), lipid-rich necrotic core (LRNC), fibrous cap (FC), and calcification. The correlation between imaging features and histological changes of carotid plaques has been investigated. Imaging of carotid features has been used to predict the risk of cardiovascular events. Other techniques such as nuclear imaging and intra-vascular ultrasound (IVUS) have also been proposed to better understand the vulnerable carotid plaque features. In this article, we review the studies of imaging specific carotid plaque components and their correlation with risk scores.
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Affiliation(s)
- Guangming Zhu
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Jason Hom
- Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Ying Li
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA.,Clinical Medical Research Center, Luye Pharma Group Ltd., Beijing 100000, China
| | - Bin Jiang
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Fatima Rodriguez
- Division of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University, Palo Alto, CA, USA
| | - Dominik Fleischmann
- Department of Radiology, Cardiovascular Imaging Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - David Saloner
- Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Michele Porcu
- Dipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy
| | - Yanrong Zhang
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Luca Saba
- Dipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy
| | - Max Wintermark
- Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA
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15
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Yang D, Liu Y, Han Y, Li D, Wang W, Li R, Yuan C, Zhao X. Signal of Carotid Intraplaque Hemorrhage on MR T1-Weighted Imaging: Association with Acute Cerebral Infarct. AJNR Am J Neuroradiol 2020; 41:836-843. [PMID: 32273265 DOI: 10.3174/ajnr.a6498] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/29/2020] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE Identifying the mere presence of carotid intraplaque hemorrhage would be insufficient to accurately discriminate the presence of acute cerebral infarct. We aimed to investigate the association between signal intensity ratios of carotid intraplaque hemorrhage on T1-weighted MR imaging and acute cerebral infarct in patients with hemorrhagic carotid plaques using MR vessel wall imaging. MATERIALS AND METHODS Symptomatic patients with carotid intraplaque hemorrhage were included. The signal intensity ratios of carotid intraplaque hemorrhage against muscle on T1-weighted, TOF, and MPRAGE images were measured. The acute cerebral infarct was determined on the hemisphere ipsilateral to the carotid intraplaque hemorrhage. The association between signal intensity ratios of carotid intraplaque hemorrhage and acute cerebral infarct was analyzed. RESULTS Of 109 included patients (mean, 66.8 ± 9.9 years of age; 96 men), 40 (36.7%) had acute cerebral infarct. Patients with acute cerebral infarct had significantly higher signal intensity ratios of carotid intraplaque hemorrhage on T1-weighted images than those without (Median, 1.44; 25-75 Percentiles, 1.14-1.82 versus Median, 1.27; 25-75 Percentiles, 1.06-1.55, P = .022). Logistic regression analysis revealed that the signal intensity ratio of carotid intraplaque hemorrhage on T1-weighted images was significantly associated with acute cerebral infarct before (OR, 4.08; 95% CI, 1.34-12.40; P = .013) and after (OR, 3.34; 95% CI, 1.08-10.31; P = .036) adjustment for clinical confounding factors. However, this association was not significant when further adjusted for occlusion of the carotid artery (P = .058) and volumes of intraplaque hemorrhage and lipid-rich necrotic core (P = .458). CONCLUSIONS The signal intensity ratio of carotid intraplaque hemorrhage on T1-weighted images is associated with acute cerebral infarct in symptomatic patients with carotid hemorrhagic plaques. This association is independent of traditional risk factors but not of the size of plaque composition. The possibility of applying T1 signals of carotid intraplaque hemorrhage to predict subsequent cerebrovascular ischemic events needs to be prospectively verified.
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Affiliation(s)
- D Yang
- From the Beijing Institute of Brain Disorders (D.Y., Y.H., D.L.), Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.,Department of Biomedical Engineering (D.Y., Y.H., D.L., R.L., X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - Y Liu
- Department of Radiology (Y.L., W.W.), The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Y Han
- From the Beijing Institute of Brain Disorders (D.Y., Y.H., D.L.), Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.,Department of Biomedical Engineering (D.Y., Y.H., D.L., R.L., X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - D Li
- From the Beijing Institute of Brain Disorders (D.Y., Y.H., D.L.), Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.,Department of Biomedical Engineering (D.Y., Y.H., D.L., R.L., X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - W Wang
- Department of Radiology (Y.L., W.W.), The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - R Li
- Department of Biomedical Engineering (D.Y., Y.H., D.L., R.L., X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - C Yuan
- Department of Radiology (C.Y.), University of Washington, Seattle, Washington
| | - X Zhao
- Department of Biomedical Engineering (D.Y., Y.H., D.L., R.L., X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
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16
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Saba L, Lanzino G, Lucatelli P, Lavra F, Sanfilippo R, Montisci R, Suri JS, Yuan C. Carotid Plaque CTA Analysis in Symptomatic Subjects with Bilateral Intraparenchymal Hemorrhage: A Preliminary Analysis. AJNR Am J Neuroradiol 2019; 40:1538-1545. [PMID: 31395662 DOI: 10.3174/ajnr.a6160] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 06/28/2019] [Indexed: 01/11/2023]
Abstract
BACKGROUND AND PURPOSE The presence of IPH is considered the most dangerous feature because it is significantly associated with clinical ipsilateral cerebrovascular events. Our aim was to explore the characterization of plaque with CT in symptomatic subjects with bilateral intraplaque hemorrhage. MATERIALS AND METHODS Three-hundred-forty-three consecutive patients with recent anterior circulation ischemic events (<2 weeks) and CT of the carotid arteries (performed within 14 days of the cerebrovascular event) evaluated between June 2012 and September 2017 were analyzed for plaque volume composition to identify all subjects with bilateral intraplaque hemorrhage. Plaque volume was semiautomatically measured, and tissue components were classified according to the attenuation values such as the following: calcified (for values of ≥130 HU), mixed (for values of ≥60 and <130 HU), lipid (for values of ≥25 and <60 HU), and intraplaque hemorrhage (for values of <25 HU). Twenty-one subjects (15 men; mean age, 70 ± 11 years; range, 44-87 years) had bilateral intraplaque hemorrhage and were included in the analysis. RESULTS Volume measurement revealed significantly larger plaques on the symptomatic side compared with the asymptomatic one (mean, 28 ± 9 versus 22 ± 8 mm, P = .007). Intraplaque hemorrhage volume and percentage were also significantly higher in the plaque ipsilateral to the cerebrovascular event (P < .001 and < .001, respectively). The volume of other plaque components did not show a statically significant association except for lipid and lipid + intraplaque hemorrhage percentages (23% versus 18% and 11% versus 15%), which were significantly different between the symptomatic and the asymptomatic sides (.016 and .011, respectively). The intraplaque hemorrhage/lipid ratio was higher on the symptomatic side (0.596 versus 0.171, P = .001). CONCLUSIONS In patients with bilateral intraplaque hemorrhage and recent ischemic symptoms, the plaque ipsilateral to the symptomatic side has significantly larger volume and a higher percentage of intraplaque hemorrhage compared with the contralateral, asymptomatic side.
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Affiliation(s)
- L Saba
- From the Department of Radiology (L.S., F.L., R.S., R.M.), Azienda Ospedaliero Universitaria di Cagliari, Monserrato (Cagliari), Italy
| | - G Lanzino
- Department of Neurologic Surgery (G.L.), Mayo Clinic, Rochester, Minnesota
| | - P Lucatelli
- Department of Radiological, Oncological and Anatomopathological Sciences-Radiology (P.L.), Sapienza University of Rome, Rome, Italy
| | - F Lavra
- From the Department of Radiology (L.S., F.L., R.S., R.M.), Azienda Ospedaliero Universitaria di Cagliari, Monserrato (Cagliari), Italy
| | - R Sanfilippo
- From the Department of Radiology (L.S., F.L., R.S., R.M.), Azienda Ospedaliero Universitaria di Cagliari, Monserrato (Cagliari), Italy
| | - R Montisci
- From the Department of Radiology (L.S., F.L., R.S., R.M.), Azienda Ospedaliero Universitaria di Cagliari, Monserrato (Cagliari), Italy
| | - J S Suri
- Diagnostic and Monitoring Division (J.S.S.), Atheropoint, Roseville, California.,Department of Electrical Engineering (J.S.S.), University of Idaho, Moscow, Idaho
| | - C Yuan
- Center for Biomedical Imaging Research (C.Y.), Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China.,Department of Radiology (C.Y.), University of Washington, Seattle, Washington
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Liu Y, Wang M, Zhang B, Wang W, Xu Y, Han Y, Yuan C, Zhao X. Size of carotid artery intraplaque hemorrhage and acute ischemic stroke: a cardiovascular magnetic resonance Chinese atherosclerosis risk evaluation study. J Cardiovasc Magn Reson 2019; 21:36. [PMID: 31262337 PMCID: PMC6604180 DOI: 10.1186/s12968-019-0548-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 05/30/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND To determine the usefulness of the size of carotid artery intraplaque hemorrhage (IPH) in discriminating the risk of acute ischemic stroke using cardiovascular magnetic resonance (CMR) vessel wall imaging. METHODS Symptomatic patients with carotid atherosclerotic plaque who participated in a cross-sectional, multicenter study of CARE-II (NCT02017756) were included. All patients underwent carotid and brain CMR imaging. Carotid plaque burden and the size of plaque compositions including calcification, lipid-rich necrotic core (LRNC), and IPH were measured. Presence of acute cerebral infarct (ACI) in ipsilateral hemisphere of carotid plaque was determined. The relationship between carotid plaque features and presence of ipsilateral ACI was then analyzed. RESULTS Of 687 recruited patients (62.7 ± 10.1 years; 69.4% males) with carotid plaque, 28.5% had ACI in ipsilateral hemispheres. Logistic regression revealed that carotid plaque burden was significantly associated with the presence of ACI before and after adjusted for clinical confounding factors. The volume of LRNC, %LRNC volume, volume of IPH, and %IPH volume were significantly associated with ACI before (volume of LRNC: OR = 1.297, p = 0.005; %LRNC volume: OR = 1.119, p = 0.018; volume of IPH: OR = 2.514, p = 0.003; %IPH volume: OR = 2.202, p = 0.003) and after (volume of LRNC: OR = 1.312, p = 0.006; %LRNC volume: OR = 1.90, p = 0.034; volume of IPH: OR = 2.907, p = 0.007; % IPH volume: OR = 2.374, p = 0.004) adjusted for clinical confounding factors. The association between volume of IPH and ACI remained statistically significant after further adjusted for plaque volume (OR = 2.813, p = 0.016) or both plaque volume and volume of LRNC (OR = 4.044, p = 0.024). CONCLUSIONS In symptomatic patients with carotid atherosclerotic plaques, the size of IPH is independently associated with ipsilateral ACI, suggesting the size of IPH might be a useful indicator for the risk of ACI. TRIAL REGISTRATION Clinical Trial Registration-URL: http://www.clinicaltrials.gov . Unique Identifier: NCT02017756.
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Affiliation(s)
- Yang Liu
- Department of Radiology, The Affiliated Hospital of Yangzhou University, Yangzhou, China
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - Maoxue Wang
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
- Department of Medical Imaging, Taikang Xianlin Drum Tower Hospital, Nanjing, China
| | - Bing Zhang
- Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Wei Wang
- Department of Radiology, The Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Yun Xu
- Department of Neurology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Yongjun Han
- Center for Brain Disorders Research, Capital Medical University and Beijing Institute for Brain Disorders, Beijing, China
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, USA
| | - Xihai Zhao
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
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18
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Saba L, Saam T, Jäger HR, Yuan C, Hatsukami TS, Saloner D, Wasserman BA, Bonati LH, Wintermark M. Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications. Lancet Neurol 2019; 18:559-572. [PMID: 30954372 DOI: 10.1016/s1474-4422(19)30035-3] [Citation(s) in RCA: 275] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 01/03/2019] [Accepted: 01/04/2019] [Indexed: 01/15/2023]
Abstract
Stroke represents a massive public health problem. Carotid atherosclerosis plays a fundamental part in the occurence of ischaemic stroke. European and US guidelines for prevention of stroke in patients with carotid plaques are based on quantification of the percentage reduction in luminal diameter due to the atherosclerotic process to select the best therapeutic approach. However, better strategies for prevention of stroke are needed because some subtypes of carotid plaques (eg, vulnerable plaques) can predict the occurrence of stroke independent of the degree of stenosis. Advances in imaging techniques have enabled routine characterisation and detection of the features of carotid plaque vulnerability. Intraplaque haemorrhage is accepted by neurologists and radiologists as one of the features of vulnerable plaques, but other characteristics-eg, plaque volume, neovascularisation, and inflammation-are promising as biomarkers of carotid plaque vulnerability. These biomarkers could change current management strategies based merely on the degree of stenosis.
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Affiliation(s)
- Luca Saba
- Department of Medical Sciences, University of Cagliari, Cagliari, Italy.
| | - Tobias Saam
- Department of Radiology, University Hospital Munich, Ludwig-Maximilians-University Munich, Munich, Germany; Radiologisches Zentrum Rosenheim, Rosenheim, Germany
| | - H Rolf Jäger
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, London, UK
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA, USA
| | | | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Bruce A Wasserman
- The Russell H Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD, USA
| | - Leo H Bonati
- Department of Neurology and Stroke Center, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Max Wintermark
- Department of Radiology, Neuroradiology Division, Stanford University, Stanford, CA, USA
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19
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Liu J, Sun J, Balu N, Ferguson MS, Wang J, Kerwin WS, Hippe DS, Wang A, Hatsukami TS, Yuan C. Semiautomatic carotid intraplaque hemorrhage volume measurement using 3D carotid MRI. J Magn Reson Imaging 2019; 50:1055-1062. [PMID: 30861249 DOI: 10.1002/jmri.26698] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 02/14/2019] [Accepted: 02/15/2019] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Presence of intraplaque hemorrhage (IPH) is a known risk factor for stroke and plaque progression. Accurate and reproducible measurement of IPH volume are required for further risk stratification. PURPOSE To develop a semiautomatic method to measure carotid IPH volume. STUDY TYPE Retrospective. POPULATION Patients scheduled for carotid endarterectomy and patients with 16-79% asymptomatic carotid stenosis by ultrasound. FIELD STRENGTH 3T. SEQUENCE Simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) MRI. ASSESSMENT A semiautomated volumetric measurement of IPH using signal intensity thresholding of 3D SNAP volume was implemented. Fourteen carotid endarterectomy patients were enrolled to determine the signal intensity threshold of IPH using histology. Thirty-three patients with 16-79% asymptomatic stenosis were scanned twice within 1 month to evaluate reproducibility. The normalized SNAP intensity with the highest Youden index for predicting IPH on histology was used for thresholding. Scan-rescan reproducibility of IPH measurement was assessed using the intraclass correlation coefficient (ICC) and coefficient of variation (CV). STATISTICAL TESTS Receiver operating characteristic curve, area under the curve, Cohen's kappa, intraclass correlation coefficient, coefficient of variance (CV), and paired t-test. RESULTS IPH detection by the algorithm had substantial agreement with manual review (kappa: 0.92; 95% confidence interval [CI]: 0.83, 1.00) and moderate agreement with histology (kappa: 0.55; 95% CI: 0.34, 0.68). IPH volume measurements by the algorithm were strongly correlated with histology (Spearman's rho = 0.76, P = 0.002). IPH measurements were also reproducible, with ICCs of 0.86 (95% CI: 0.57, 0.96), 0.77 (95% CI: 0.32, 0.94), and 0.99 (95% CI: 0.93, 1.00) for maximum/mean normalized intensity and IPH volume, respectively. The corresponding CVs were 10.6%, 5.2%, and 11.8%. DATA CONCLUSION IPH volume measurements on SNAP MRI are highly reproducible using semiautomatic measurement. Level of Evidence 2 Technical Efficacy Stage 2 J. Magn. Reson. Imaging 2019;50:1055-1062.
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Affiliation(s)
- Jin Liu
- Department of Bioengineering, University of Washington, Seattle, Washington, USA
| | - Jie Sun
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Niranjan Balu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Marina S Ferguson
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Jinnan Wang
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - William S Kerwin
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Daniel S Hippe
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Amy Wang
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Thomas S Hatsukami
- Department of Surgery, University of Washington, Seattle, Washington, USA
| | - Chun Yuan
- Department of Bioengineering, University of Washington, Seattle, Washington, USA.,Department of Radiology, University of Washington, Seattle, Washington, USA
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20
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Diagnostic performance of MRI for detecting intraplaque hemorrhage in the carotid arteries: a meta-analysis. Eur Radiol 2019; 29:5129-5138. [PMID: 30847588 DOI: 10.1007/s00330-019-06053-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/11/2019] [Accepted: 01/30/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To investigate the diagnostic performance of MRI in diagnosing carotid atherosclerotic intraplaque hemorrhage (IPH) and to provide a clinical guide for MRI application. METHODS We searched MEDLINE, Embase, and Cochrane library from the earliest available date of indexing through November 30, 2017. All investigators screened and selected studies comparing the use of MRI with histology. The accuracy to diagnose pathological IPH was expressed by sensitivity, specificity, negative likelihood ratios (LRs), positive LRs, and the area under summary receiver-operating characteristic (SROC) curve. We calculated the post-test probability to assess the clinical utility of MRI. RESULTS We analyzed 696 patients from 20 articles. The sensitivity and specificity were 87% (95% CI, 81-91%) and 92% (95% CI, 87-95%), respectively. The positive and negative LRs were 10.27 (95% CI, 6.76-15.59) and 0.15 (95% CI, 0.10-0.21), respectively. The area under SROC curve was 0.95 (95% CI, 0.93-0.97). MRI was accurate in confirming or in ruling out disease over a wide range of pre-test probabilities of IPH: MRI could increase the post-test probability to > 80% in patients with a pre-test probability > 27% and could decrease the post-test probability to < 20% in patients with a pre-test probability < 64%. CONCLUSION Non-invasive MRI has excellent specificity and good sensitivity for diagnosing IPH. MRI is a tool for confirming or ruling out carotid atherosclerotic IPH. KEY POINTS • Non-invasive MRI has excellent performance for diagnosing IPH, which is a component of vulnerable plaque. • The high accuracy of MRI for IPH helps clinicians analyze the prognosis of clinical events and plan personalized treatment.
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Zhu C, Tian X, Degnan AJ, Lu J, Liu Q. Reply. AJNR Am J Neuroradiol 2018; 40:E2. [PMID: 30442701 DOI: 10.3174/ajnr.a5895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- C Zhu
- Department of Radiology and Biomedical Imaging University of California, San Francisco San Francisco, California
| | - X Tian
- Department of Radiology Changhai Hospital Shanghai, China
| | - A J Degnan
- Department of Radiology Children's Hospital of Philadelphia Philadelphia, Pennsylvania
| | - J Lu
- Department of Radiology Changhai Hospital Shanghai, China
| | - Q Liu
- Department of Radiology Changhai Hospital Shanghai, China
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22
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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: 3.8] [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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23
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Qi H, Sun J, Qiao H, Chen S, Zhou Z, Pan X, Wang Y, Zhao X, Li R, Yuan C, Chen H. Carotid Intraplaque Hemorrhage Imaging with Quantitative Vessel Wall T1 Mapping: Technical Development and Initial Experience. Radiology 2017; 287:276-284. [PMID: 29117484 DOI: 10.1148/radiol.2017170526] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To develop a three-dimensional (3D) high-spatial-resolution time-efficient sequence for use in quantitative vessel wall T1 mapping. Materials and Methods A previously described sequence, simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) imaging, was extended by introducing 3D golden angle radial k-space sampling (GOAL-SNAP). Sliding window reconstruction was adopted to reconstruct images at different inversion delay times (different T1 contrasts) for voxelwise T1 fitting. Phantom studies were performed to test the accuracy of T1 mapping with GOAL-SNAP against a two-dimensional inversion recovery (IR) spin-echo (SE) sequence. In vivo studies were performed in six healthy volunteers (mean age, 27.8 years ± 3.0 [standard deviation]; age range, 24-32 years; five male) and five patients with atherosclerosis (mean age, 66.4 years ± 5.5; range, 60-73 years; five male) to compare T1 measurements between vessel wall sections (five per artery) with and without intraplaque hemorrhage (IPH). Statistical analyses included Pearson correlation coefficient, Bland-Altman analysis, and Wilcoxon rank-sum test with data permutation by subject. Results Phantom T1 measurements with GOAL-SNAP and IR SE sequences showed excellent correlation (R2 = 0.99), with a mean bias of -25.8 msec ± 43.6 and a mean percentage error of 4.3% ± 2.5. Minimum T1 was significantly different between sections with IPH and those without it (mean, 371 msec ± 93 vs 944 msec ± 120; P = .01). Estimated T1 of normal vessel wall and muscle were 1195 msec ± 136 and 1117 msec ± 153, respectively. Conclusion High-spatial-resolution (0.8 mm isotropic) time-efficient (5 minutes) vessel wall T1 mapping is achieved by using the GOAL-SNAP sequence. This sequence may yield more quantitative reproducible biomarkers with which to characterize IPH and monitor its progression. © RSNA, 2017.
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Affiliation(s)
- Haikun Qi
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
| | - Jie Sun
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
| | - Huiyu Qiao
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
| | - Shuo Chen
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
| | - Zechen Zhou
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
| | - Xinlei Pan
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
| | - Yishi Wang
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
| | - Xihai Zhao
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
| | - Rui Li
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
| | - Chun Yuan
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
| | - Huijun Chen
- From the Center for Biomedical Imaging Research, Department of Biomedical Engineering, Room 109, School of Medicine, Tsinghua University, Haidian District, Beijing 100084, China (H. Qi, H. Qiao, S.C., X.P., Y.W., X.Z., R.L., C.Y., H.C.); Philips Research China, Shanghai, China (Z.Z.); and Department of Radiology, University of Washington, Seattle, Wash (J.S., C.Y.)
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