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Yu M, Yang D, Zhang R, Jiang Y, Qiao H, Zhao X, Liu G, Wang Y. Carotid atherosclerotic plaque predicts progression of intracranial artery atherosclerosis: A MR imaging-based community cohort study. Eur J Radiol 2024; 172:111300. [PMID: 38281437 DOI: 10.1016/j.ejrad.2024.111300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 01/03/2024] [Accepted: 01/07/2024] [Indexed: 01/30/2024]
Abstract
PURPOSE Intracranial artery atherosclerosis (ICAS) progression is associated with stroke. However, the association of carotid plaque with ICAS progression among stroke-free participants is still unclear. This study aimed to evaluate the association between carotid plaque and ICAS progression in stroke-free participants. METHOD Stroke-free participants were recruited from a community-based cohort study. All participants underwent questionnaire interviews, blood tests, and high-resolution vessel wall magnetic resonance (MR) imaging at baseline and follow-up for around three years. The atherosclerotic plaque was defined as eccentric wall thickening on MR imaging. The presence, location, total number, and burden (maximum wall thickness, length, and stenosis) of carotid and intracranial plaque were evaluated. ICAS progression was defined as the number increased or plaque burden (maximum wall thickness, length, or stenosis increase) increased by ≥ 20 %. The association between carotid plaque and ICAS progression was evaluated using multivariable logistic regression. RESULTS Of the 312 participants (mean age at baseline: 59.85 ± 13.04 years; 136 males) who completed baseline and follow-up studies with a mean time interval of 3.15 ± 0.59 years, 85 (27.24 %) had progression of ICAS during follow-up. At least one carotid plaque was detected at baseline in 167 (53.53 %) participants. In the multivariable logistic analysis, carotid plaque was a significant predictor for the progression of ICAS (odds ratio, 2.04; 95 % confidence interval, 1.06-3.92; P = 0.032). CONCLUSIONS Carotid plaque is associated with intracranial artery atherosclerosis progression in stroke-free population. Our findings suggest that carotid plaque may be an effective predictor for intracranial artery atherosclerosis progression.
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Affiliation(s)
- Miaoxin Yu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Department of Neurology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Dandan Yang
- Department of Radiology, Beijing Geriatric Hospital, Beijing 100095, China
| | - Runhua Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Beijing Office for Cerebrovascular Disease Prevention and Control, Beijng Tiantan Hospital, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Yong Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China.
| | - Gaifen Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Beijing Office for Cerebrovascular Disease Prevention and Control, Beijng Tiantan Hospital, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing 100070, China.
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Beijing Institute of Brain Disorders, Capital Medical University, Beijing 100069, China
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Shen R, Tong X, Zhao C, Qiao H, Ning Z, Li J, Zhao H, Yuan C, Zhao X. Atherosclerotic plaque characteristics in extracranial carotid artery may indicate closer association with white matter hyperintensities than intracranial arteries: A CARE-II study. Eur J Radiol 2024; 170:111208. [PMID: 37988960 DOI: 10.1016/j.ejrad.2023.111208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 11/16/2023] [Indexed: 11/23/2023]
Abstract
PURPOSE This study aimed to investigate the associations of atherosclerotic plaque characteristics in intracranial and extracranial carotid arteries with severity of white matter hyperintensities (WMHs) in symptomatic patients using magnetic resonance (MR) imaging. METHOD Patients with cerebrovascular symptoms and carotid plaque were recruited from the cross-sectional, multicenter study of CARE-II. Luminal stenosis of intracranial and extracranial carotid arteries, carotid plaque compositional features, and WMHs were evaluated by brain structural and vascular MR imaging. The atherosclerotic plaque characteristics in intracranial and extracranial carotid arteries were compared between patients with and without moderate-to-severe WMHs (Fazekas score > 2), and their associations with severity of WMHs were analyzed using logistic regression. RESULTS Of the recruited 622 patients (mean age, 58.7 ± 10.9 years; 422 males), 221 (35.5 %) had moderate-to-severe WMHs with higher prevalence of moderate-to-severe luminal stenosis (17.0 % vs. 10.4 %), intraplaque hemorrhage (15.7 % vs. 9.0 %), thin/ruptured fibrous cap (30.2 % vs. 20.4 %), calcification (44.4 % vs. 22.2 %) and lipid-rich necrotic core (63.8 % vs. 51.1 %) in carotid artery compared to those without (all P < 0.05). Multivariate logistic regression showed that carotid calcification (OR, 1.854; 95 % CI, 1.187-2.898; P = 0.007) was independently associated with moderate-to-severe WMHs after adjusting for confounding factors. No significant association was found between intracranial atherosclerotic stenosis and moderate-to-severe WMHs (P > 0.05). CONCLUSION Carotid atherosclerotic plaque features, particularly presence of calcification, were independently associated with severity of WMHs, but such association was not found in intracranial atherosclerotic stenosis, suggesting that carotid atherosclerotic plaque characteristics may have closer association with severity of WMHs compared to intracranial atherosclerosis.
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Affiliation(s)
- Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Xinyu Tong
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Chenyang Zhao
- Department of Radiology, the Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Jin Li
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Huilin Zhao
- Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
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Liu X, Wu F, Jia X, Qiao H, Liu Y, Yang X, Li Y, Zhang M, Yang Q. Pericarotid adipose tissue computed tomography attenuation distinguishes different stages of carotid atherosclerotic disease: a cross-sectional study. Quant Imaging Med Surg 2023; 13:8247-8258. [PMID: 38106246 PMCID: PMC10722032 DOI: 10.21037/qims-23-454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 09/11/2023] [Indexed: 12/19/2023]
Abstract
Background Carotid atherosclerotic plaque inflammation plays a critical role in guiding the prevention of secondary stroke. Increased perivascular adipose tissue attenuation observed on computed tomography angiography (CTA) may indicate local inflammation. Our objective was to investigate whether pericarotid adipose tissue (PCAT), as a local inflammation biomarker, could distinguish between different stages of carotid atherosclerotic disease plaques. Methods We prospectively enrolled 45 consecutive acute stroke patients with carotid artery stenosis from September 2019 to September 2021. We then matched them to non-stroke patients (n=67) and no carotid atherosclerotic disease controls (n=65) based on gender, age, and cardiovascular risk factors. We compared PCAT attenuation, carotid plaque features on CTA, clinical risk factors, and serum inflammatory factors across the different groups. To detect the association of PCAT attenuation with stage of carotid atherosclerotic disease, we used multivariable logistic regression analysis. Results Patients with acute stroke had a higher PCAT attenuation (-78.80±11.62 HU) than patients with non-stroke (-89.01±10.81 HU, P<0.001) and no carotid atherosclerotic disease controls (-95.24±10.81 HU, P<0.001). PCAT attenuation was significantly increased in non-stroke patients compared to non-stroke patients over no carotid atherosclerotic disease controls (P=0.004). The association between PCAT attenuation and the stage of carotid atherosclerotic disease was independent of age, gender, cardiovascular risk factors, and CTA plaque characteristics. No interaction was observed between clinical features and CTA plaque characteristics on PCAT attenuation. Conclusions PCAT attenuation, which is an imaging biomarker of local inflammation, independently distinguishes patients with different stages of carotid atherosclerotic disease. Quantitative evaluation of PCAT attenuation in carotid atherosclerotic disease is expected to guide targeted surgical treatment of carotid plaque.
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Affiliation(s)
- Xin Liu
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Fang Wu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiuqin Jia
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Yuehong Liu
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xiaoxu Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yingying Li
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Mengke Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qi Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Beijing Laboratory for Cardiovascular Precision Medicine, Beijing, China
- Key Laboratory of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
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Yu S, Huo R, Qiao H, Ning Z, Xu H, Yang D, Shen R, Xu N, Han H, Chen S, Liu Y, Zhao X. Carotid artery perivascular adipose tissue on magnetic resonance imaging: a potential indicator for carotid vulnerable atherosclerotic plaque. Quant Imaging Med Surg 2023; 13:7695-7705. [PMID: 38106263 PMCID: PMC10722049 DOI: 10.21037/qims-23-280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 08/24/2023] [Indexed: 12/19/2023]
Abstract
Background Magnetic resonance imaging (MRI) has the potential in assessing the inflammation of perivascular adipose tissue (PVAT) due to its excellent soft tissue contrast. However, evidence is lacking for the association between carotid PVAT measured by MRI and carotid vulnerable atherosclerotic plaques. This study aimed to investigate the association between signal intensity of PVAT and vulnerable plaques in carotid arteries using multi-contrast magnetic resonance (MR) vessel wall imaging. Methods In this cross-sectional study, a total of 104 patients (mean age, 64.9±7.0 years; 86 men) with unilateral moderate-to-severe atherosclerotic stenosis referred to carotid endarterectomy (CEA) were recruited from April 2018 to December 2020 at Department of Neurosurgery of Peking University Third Hospital. All patients underwent multi-contrast MR vessel wall imaging including time-of-flight (ToF) MR angiography, black-blood T1-weighted (T1w) and T2-weighted (T2w) and simultaneous non-contrast angiography and intraplaque hemorrhage (IPH) imaging sequences. Patients with contraindications to endarterectomy or MRI examinations were excluded. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of PVAT were measured on ToF images and vulnerable plaque characteristics including IPH, large lipid-rich necrotic core (LRNC), and fibrous cap rupture (FCR) were identified. The SNR and CNR of PVAT were compared between slices with and without vulnerable plaque features using Mann-Whitney U test and their associations were analyzed using the generalized linear mixed model (GLMM). Results Carotid artery slices with IPH (30.93±14.56 vs. 27.34±10.02; P<0.001), FCR (30.35±13.82 vs. 27.53±10.37; P=0.006), and vulnerable plaque (29.15±12.52 vs. 27.32±10.05; P=0.016) had significantly higher value of SNR of PVAT compared to those without. After adjusting for clinical confounders, the SNR of PVAT was significantly associated with presence of IPH [odds ratio (OR) =0.627, 95% confidence interval (CI): 0.465-0.847, Puncorr=0.002, PFDR=0.016] and vulnerable plaque (OR =0.762, 95% CI: 0.629-0.924, Puncorr=0.006, PFDR=0.020). However, no significant association was found between the CNR of PVAT and presence of vulnerable plaque features (all P>0.05). Conclusions The SNR of carotid artery PVAT measured by ToF MR angiography is independently associated with vulnerable atherosclerotic plaque features, suggesting that the signal intensity of PVAT might be an effective indicator for vulnerable plaque.
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Affiliation(s)
- Shuwan Yu
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Ran Huo
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
- Tsinghua University-Peking University Joint Center for Life Sciences, Beijing, China
| | - Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Huimin Xu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Dandan Yang
- Department of Radiology, Beijing Geriatric Hospital, Beijing, China
| | - Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Ning Xu
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
- Tsinghua University-Peking University Joint Center for Life Sciences, Beijing, China
| | - Ying Liu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
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Huo R, Yuan W, Xu H, Yang D, Qiao H, Han H, Wang T, Liu Y, Yuan H, Zhao X. Investigating the Association of Carotid Atherosclerotic Plaque MRI Features and Silent Stroke After Carotid Endarterectomy. J Magn Reson Imaging 2023. [PMID: 38018669 DOI: 10.1002/jmri.29115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 10/04/2023] [Accepted: 10/05/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND The predictive value of carotid plaque characteristics for silent stroke (SS) after carotid endarterectomy (CEA) is unclear. OBJECTIVE To investigate the associations between carotid plaque characteristics and postoperative SS in patients undergoing CEA. STUDY TYPE Prospective. POPULATION One hundred fifty-three patients (mean age: 65.4 ± 7.9 years; 126 males) with unilateral moderate-to-severe carotid stenosis (evaluated by CT angiography) referred for CEA. FIELD STRENGTH/SEQUENCE 3 T, brain-MRI:T2-PROPELLER, T1-/T2-FLAIR, diffusion weighted imaging (DWI) and T2*, carotid-MRI:black-blood T1-/T2W, 3D TOF, Simultaneous Non-contrast Angiography intraplaque hemorrhage. ASSESSMENT Patients underwent carotid-MRI within 1-week before CEA, and brain-MRI within 48-hours pre-/post-CEA. The presence and size (volume, maximum-area-percentage) of carotid lipid-rich necrotic core (LRNC), intraplaque hemorrhage (Type-I/Type-II IPH) and calcification were evaluated on carotid-MR images. Postoperative SS was assessed from pre-/post-CEA brain DWI. Patients were divided into moderate-carotid-stenosis (50%-69%) and severe-carotid-stenosis (70%-99%) groups and the associations between carotid plaque characteristics and SS were analyzed. STATISTICAL TESTS Independent t test, Mann-Whitney U-test, chi-square test and logistic regressions (OR: odds ratio, CI: confidence interval). P value <0.05 was considered statistically significant. RESULTS SS was found in 8 (16.3%) of the 49 patients with moderate-carotid-stenosis and 21 (20.2%) of the 104 patients with severe-carotid-stenosis. In patients with severe-carotid-stenosis, those with SS had significantly higher IPH (66.7% vs. 39.8%) and Type-I IPH (66.7% vs. 38.6%) than those without. The presence of IPH (OR 3.030, 95% CI 1.106-8.305) and Type-I IPH (OR 3.187, 95% CI 1.162-8.745) was significantly associated with SS. After adjustment, the associations of SS with presence of IPH (OR 3.294, 95% CI 1.122-9.669) and Type-I IPH (OR 3.633, 95% CI 1.216-10.859) remained significant. Moreover, the volume of Type-II IPH (OR 1.014, 95% CI 1.001-1.028), and maximum-area-percentage of Type-II IPH (OR 1.070, 95% CI 1.002-1.142) and LRNC (OR 1.030, 95% CI 1.000-1.061) were significantly associated with SS after adjustment. No significant (P range: 0.203-0.980) associations were found between carotid plaque characteristics and SS in patients with moderate-carotid-stenosis. DATA CONCLUSIONS In patients with unilateral severe-carotid-stenosis, carotid vulnerable plaque MR features, particularly presence and size of IPH, might be effective predictors for SS after CEA. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Ran Huo
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Wanzhong Yuan
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China
| | - Huimin Xu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Dandan Yang
- Department of Radiology, Beijing Geriatric Hospital, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Tao Wang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China
| | - Ying Liu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Huishu Yuan
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
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Wang P, Li L, Gan L, Chen Q, Qiao H, Gao W, Zhang Y, Wang J. Andrographolide loaded montmorillonite attenuated enterotoxigenic Escherichia coli induced intestinal barrier injury and inflammation in a mouse model. Pol J Vet Sci 2023; 26:367-376. [PMID: 37727052 DOI: 10.24425/pjvs.2023.145042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
Montmorillonite (MMT), a natural absorbent agent, has widely been accepted for its antidiarrhea function in human and farm animals; however, its specific physicochemical property limits its biological function in practical use. In the current study, raw MMT was loaded by andrographolide, namely andrographolide loaded montmorillonite (AGP-MMT). The microstructure of AGP-MMT was observed by scanning electron microscope (SEM) and X-ray diffraction (XRD). The effect of AGP-MMT on the growth performance, intestinal barrier and inflammation was investigated in an enterotoxigenic Escherichia coli (ETEC) challenged mice model. The results show that the microstructure of MMT was obviously changed after andrographolide modification: AGP-MMT exhibited a large number of spheroid particles, and floccule aggregates, but lower interplanar spacing compared with MMT. ETEC infection induced body weight losses and intestinal barrier function injury, as indicated by a lower villus height and ratio of villus height/crypt depth, whereas the serum levels of diamine oxidase (DAO), D-xylose and ETEC shedding were higher in the ETEC group compared with the CON group. Mice pretreated with AGP-MMT showed alleviated body weight losses and the intestinal barrier function injury induced by ETEC challenge. The villus height and the ratio of villus height/crypt depth, were higher in mice pretreated with AGP-MMT than those pretreated with equal levels of MMT. Pretreatment with AGP-MMT also alleviated the increased concentration of serum tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β), and the corresponding genes in the jejunum induced by ETEC infection in mice. The protein and mRNA levels of IL-1β were lower in mice pretreated with AGP-MMT than those with equal levels of MMT. The results indicate that AGP-MMT was more effective in alleviating intestinal barrier injury and inflammation in mice with ETEC challenge than MMT.
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Affiliation(s)
- P Wang
- College of Biology Engineering, Henan University of Technology, Zhengzhou, China
| | - L Li
- College of Biology Engineering, Henan University of Technology, Zhengzhou, China
| | - L Gan
- College of Biology Engineering, Henan University of Technology, Zhengzhou, China
| | - Q Chen
- College of Biology Engineering, Henan University of Technology, Zhengzhou, China
| | - H Qiao
- College of Biology Engineering, Henan University of Technology, Zhengzhou, China
| | - W Gao
- College of Biology Engineering, Henan University of Technology, Zhengzhou, China
| | - Y Zhang
- College of Biology Engineering, Henan University of Technology, Zhengzhou, China
| | - J Wang
- College of Biology Engineering, Henan University of Technology, Zhengzhou, China
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Qiao H, Dumur É, Andersson G, Yan H, Chou MH, Grebel J, Conner CR, Joshi YJ, Miller JM, Povey RG, Wu X, Cleland AN. Splitting phonons: Building a platform for linear mechanical quantum computing. Science 2023; 380:1030-1033. [PMID: 37289889 DOI: 10.1126/science.adg8715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/28/2023] [Indexed: 06/10/2023]
Abstract
Linear optical quantum computing provides a desirable approach to quantum computing, with only a short list of required computational elements. The similarity between photons and phonons points to the interesting potential for linear mechanical quantum computing using phonons in place of photons. Although single-phonon sources and detectors have been demonstrated, a phononic beam splitter element remains an outstanding requirement. Here we demonstrate such an element, using two superconducting qubits to fully characterize a beam splitter with single phonons. We further use the beam splitter to demonstrate two-phonon interference, a requirement for two-qubit gates in linear computing. This advances a new solid-state system for implementing linear quantum computing, further providing straightforward conversion between itinerant phonons and superconducting qubits.
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Affiliation(s)
- H Qiao
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - É Dumur
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
- Center for Molecular Engineering and Material Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - G Andersson
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - H Yan
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - M-H Chou
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
- Department of Physics, University of Chicago, Chicago, IL 60637, USA
| | - J Grebel
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - C R Conner
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - Y J Joshi
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - J M Miller
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
- Department of Physics, University of Chicago, Chicago, IL 60637, USA
| | - R G Povey
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
- Department of Physics, University of Chicago, Chicago, IL 60637, USA
| | - X Wu
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - A N Cleland
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
- Center for Molecular Engineering and Material Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Gong T, Han H, Tan Z, Ning Z, Qiao H, Yu M, Zhao X, Tang X, Liu G, Shang F, Liu S. Segmentation and differentiation of periventricular and deep white matter hyperintensities in 2D T2-FLAIR MRI based on a cascade U-net. Front Neurol 2022; 13:1021477. [DOI: 10.3389/fneur.2022.1021477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/27/2022] [Indexed: 11/18/2022] Open
Abstract
BackgroundWhite matter hyperintensities (WMHs) are a subtype of cerebral small vessel disease and can be divided into periventricular WMHs (pvWMHs) and deep WMHs (dWMHs). pvWMHs and dWMHs were proved to be determined by different etiologies. This study aimed to develop a 2D Cascade U-net (Cascade U) for the segmentation and differentiation of pvWMHs and dWMHs on 2D T2-FLAIR images.MethodsA total of 253 subjects were recruited in the present study. All subjects underwent 2D T2-FLAIR scan on a 3.0 Tesla MR scanner. Both contours of pvWMHs and dWMHs were manually delineated by the observers and considered as the gold standard. Fazekas scale was used to evaluate the burdens of pvWMHs and dWMHs, respectively. Cascade U consisted of a segmentation U-net and a differentiation U-net and was trained with a combined loss function. The performance of Cascade U was compared with two other U-net models (Pipeline U and Separate U). Dice similarity coefficient (DSC), Matthews correlation coefficient (MCC), precision, and recall were used to evaluate the performances of all models. The linear correlations between WMHs volume (WMHV) measured by all models and the gold standard were also conducted.ResultsCompared with other models, Cascade U exhibited a better performance on WMHs segmentation and pvWMHs identification. Cascade U achieved DSC values of 0.605 ± 0.135, 0.517 ± 0.263, and 0.510 ± 0.241 and MCC values of 0.617 ± 0.122, 0.526 ± 0.263, and 0.522 ± 0.243 on the segmentation of total WMHs, pvWMHs, and dWMHs, respectively. Cascade U exhibited strong correlations with the gold standard on measuring WMHV (R2 = 0.954, p < 0.001), pvWMHV (R2 = 0.933, p < 0.001), and dWMHV (R2 = 0.918, p < 0.001). A significant correlation was found on lesion volume between Cascade U and gold standard (r > 0.510, p < 0.001).ConclusionCascade U showed competitive results in segmentation and differentiation of pvWMHs and dWMHs on 2D T2-FLAIR images, indicating potential feasibility in precisely evaluating the burdens of WMHs.
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Shen R, Tong X, Li D, Ning Z, Han H, Han Y, Yang D, Du C, Wang T, Cao J, Xu Y, Huo R, Qiao H, Zhao X. Slice-based and time-specific hemodynamic measurements discriminate carotid artery vulnerable atherosclerotic plaques. Comput Methods Programs Biomed 2022; 225:107050. [PMID: 35985150 DOI: 10.1016/j.cmpb.2022.107050] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/28/2022] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVE Hemodynamic patterns play key roles in progression of carotid vulnerable plaques. However, most of previous studies utilized maximum or averaged value of hemodynamic measurements which is not an ideal representative of hemodynamic patterns. This study aimed to investigate the association of slice-based and time-specific hemodynamic measurements with carotid vulnerable plaque using magnetic resonance (MR) vessel wall imaging and histology. METHODS Thirty-two patients (mean age: 63.9±8.1 years; 25 males) with carotid atherosclerotic stenosis (≥50% stenosis) referred to carotid endarterectomy were recruited and underwent MR vessel wall imaging. Carotid plaque burden was evaluated on MR images and vulnerable plaque features including calcification, lipid-rich necrotic core, and intra-plaque hemorrhage (IPH) were identified by histology. The slice-based and time-specific hemodynamic measurements were extracted from computational fluid dynamics simulation of 3D carotid arterial model. Correlation coefficients between hemodynamic measurements and carotid plaque features were calculated and the logistic regressions with generalized estimating equation (GEE) were conducted. The value in discriminating carotid vulnerable plaque features was determined by receiver-operating-characteristic analysis. RESULTS Of 102 MR-histology matched slices from 32 patients, time-averaged wall shear stress (TAWSS) (r=0.263, p=0.008), oscillatory shear index (OSI) (r=-0.374, p<0.001), and peakWSS (r=0.232, p=0.019) were significantly associated with carotid IPH. The logistic regression with GEE revealed that peakWSS (OR, 1.206; 95% CI, 1.026-1.418; p, 0.023) and TAWSS (OR, 0.364, 95% CI, 0.138-0.959; p, 0.041) were significantly associated with presence of IPH after adjusting for age and BMI. In discriminating carotid IPH, the AUC of TAWSS, OSI, combined TAWSS with maximum wall thickness (MWT) and combined OSI with MWT was 0.656, 0.722, 0.761, and 0.764, respectively. CONCLUSIONS Slice-based and time-specific hemodynamic characteristics could effectively discriminate carotid IPH. Combination of hemodynamic measurements with carotid plaque burden might be a stronger indicator for carotid vulnerable plaque features than each measurement alone.
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Affiliation(s)
- Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Xinyu Tong
- Department of Biomedical Engineering, School of Life and Science, Beijing Institute of Technology, Beijing, China
| | - Dongye Li
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Yongjun Han
- Department of Radiology, Aerospace Center Hospital, Beijing, China
| | - Dandan Yang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Chenlin Du
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Tao Wang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China
| | - Jingli Cao
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yilan Xu
- Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Ran Huo
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Yu M, Jia Y, Yang D, Zhang R, Jiang Y, Zhang G, Qiao H, Han H, Shen R, Ning Z, Zhao X, Liu G, Wang Y. Association between haemoglobin A1c and cerebral microbleeds in community-based stroke-free individuals: A cross-sectional study. Diabetes Metab Res Rev 2022; 38:e3557. [PMID: 35686956 DOI: 10.1002/dmrr.3557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/22/2022] [Accepted: 06/06/2022] [Indexed: 11/08/2022]
Abstract
AIMS The association between haemoglobin A1c (HbA1c) and cerebral microbleeds (CMBs) remains unclear. We aimed to investigate the association between HbA1c and CMBs in community-based individuals without stroke or transient ischaemic attack (TIA) and whether the association differs between individuals with and without diabetes mellitus (DM). MATERIALS AND METHODS All individuals were recruited from a community in Beijing, China, from January 2015 to September 2019. All individuals completed a questionnaire and underwent blood tests and brain magnetic resonance imaging. A susceptibility-weighted imaging sequence was acquired to detect CMBs, which were defined as small, round and low-signal lesions with <10 mm diameter. The association between HbA1c and CMBs was analysed using multivariable logistic regression adjusted for demographics, medical history and blood sample test results. Subgroup analyses stratified by history of DM were performed. RESULTS Of 544 recruited individuals, 119 (21.88%) had CMBs. HbA1c was independently associated with CMBs (odds ratio [OR], 1.51; 95% confidence interval [CI], 1.03-2.22). In 87 individuals with DM, multivariable logistic analysis showed that HbA1c was significantly associated with CMBs (OR, 1.67; 95% CI, 1.04-2.69), whereas in individuals without DM, no significant association was observed between HbA1c and CMBs (OR, 1.07; 95% CI, 0.50-2.30). CONCLUSIONS HbA1c was associated with CMBs in individuals without stroke or TIA, particularly in individuals with DM, suggesting that the status of glycaemic control warrants attention for the prevention of CMBs. It would be beneficial to manage HbA1c specifically to control the risk of CMBs, especially in individuals with DM.
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Affiliation(s)
- Miaoxin Yu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yanan Jia
- Department of Neurology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Dandan Yang
- Department of Radiology, Beijing Geriatric Hospital, Beijing, China
| | - Runhua Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Jiang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Guitao Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Zihan Ning
- 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
| | - Gaifen Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
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Han H, Ning Z, Yang D, Yu M, Qiao H, Chen S, Chen Z, Li D, Zhang R, Liu G, Zhao X. Associations between cerebral blood flow and progression of white matter hyperintensity in community-dwelling adults: a longitudinal cohort study. Quant Imaging Med Surg 2022; 12:4151-4165. [PMID: 35919044 PMCID: PMC9338364 DOI: 10.21037/qims-22-141] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 05/27/2022] [Indexed: 12/05/2022]
Abstract
Background White matter hyperintensity (WMH) is prevalent in elderly populations. Ischemia is characterized by a decline in cerebral blood flow (CBF) and may play a key role in the pathogenesis of WMH. However, the association between CBF reduction and WMH progression remains controversial. This study aimed to investigate the association between CBF and the progression of WMH at a 2-year follow-up of community-based, asymptomatic adults in a longitudinal cohort study across the lifespan. Methods Asymptomatic adults who participated in a community-based study were recruited and underwent brain structural and perfusion magnetic resonance imaging (MRI) at baseline and at a 2-year follow-up visit. The CBF was measured on pseudo-continuous arterial spin-labeling (pCASL) MRI. The WMH was evaluated on T2-weighted fluid-attenuated inversion recovery (T2-FLAIR) images. Tissue segmentation was conducted on T1-weighted (T1W) images to derive binary masks of gray matter and normal-appearing white matter. Linear mixed effect models were conducted to analyze the cross-sectional and longitudinal associations between CBF and WMH. Results A total of 229 adults (mean age 57.3±12.6 years; 94 males) were enrolled at baseline, among whom 84 participants (mean age 54.1±11.9 years; 41 males) completed a follow-up visit with a mean time interval of 2.77±0.44 years. At baseline, there was a decreasing trend in gray matter (GM) CBF with an increase of WMH burden (P=0.063), but this association was attenuated after adjusting for age (P=0.362). In the longitudinal analysis, baseline WMH volume was significantly associated with the reduction of perfusion in GM [coefficient =−1.96, 95% confidence interval (CI): −3.25 to −0.67; P=0.004] and normal appearing white matter (coefficient =−0.99, 95% CI: −1.66 to −0.31; P=0.005) during follow-up. On the contrary, neither baseline CBF in GM (P=0.888) nor normal appearing white matter (P=0.850) was associated with WMH progression. In addition, CBF changes within WMH were significantly associated with both baseline (coefficient =−0.014, 95% CI: −0.025 to −0.003; P=0.017) and progression (coefficient =−1.01, 95% CI: −1.81 to −0.20; P=0.015) of WMH volume. Conclusions A WMH burden was not found to be directly associated with cortex perfusion at baseline due to the effects of age on both CBF and WMH. However, baseline WMH volume could predict the reduction of perfusion.
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Affiliation(s)
- Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Dandan Yang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.,Department of Radiology, Beijing Geriatric Hospital, Beijing, China
| | - Miaoxin Yu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Zhensen Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.,Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Dongye Li
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Runhua Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Gaifen Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
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14
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Ning Z, Chen S, Chen Z, Han H, Qiao H, Zhang N, Wang R, Shen R, Zhao X. Saturated multi-delay renal arterial spin labeling technique for simultaneous perfusion and T 1 quantification in kidneys. Magn Reson Med 2022; 88:1055-1067. [PMID: 35506512 DOI: 10.1002/mrm.29268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 03/22/2022] [Accepted: 03/24/2022] [Indexed: 11/06/2022]
Abstract
PURPOSE To propose a free-breathing simultaneous multi-delay arterial spin labeling (ASL) and T1 mapping technique with a stepwise kinetic model for renal assessment in a single 4-min scan at 3 T. METHODS The proposed saturated multi-delay renal arterial spin labeling (SAMURAI) sequence used flow-sensitive alternating inversion recovery (FAIR) preparation, followed by acquisition of 9 images with Look-Locker spoiled gradient recalled echo (SPGR). Pre-saturation at the imaging slice was used to achieve saturation-based T1 mapping. A 4-step 2-compartment kinetic model was proposed to characterize water transition through artery- and tissue-compartment. The impact of the Look-Locker sampling scheme on the ASL signal was corrected in this model. T1 estimation with dictionary searching method and perfusion quantification based on the proposed kinetic model fitting were conducted after groupwise registration of the acquired images. The feasibility and repeatability of SAMURAI were validated in healthy subjects (n = 11) and patients with different renal diseases (n = 4). RESULTS The proposed SAMURAI technique can provide accurate T1 map with strong correlation (R2 = 0.98) with inversion recovery spin echo (IR-SE) on phantom. SAMURAI provided equally reliable whole kidney and cortical ASL and T1 quantification results compared with multi-TI FAIR (intraclass correlation coefficient [ICC], 0.880-0.958) and IR-SPGR (ICC, 0.875-0.912), respectively. Low renal blood flow and increased T1 were detected by SAMURAI in the affected kidneys of the patients. SAMURAI had excellent scan-rescan repeatability (ICC, 0.905-0.992) and significantly reduced scan time (4 min 6 s vs. 45 min for 9 TIs) compared to multi-TI FAIR. CONCLUSION The proposed SAMURAI technique is feasible and repeatable for simultaneously quantifying T1 and perfusion of kidneys with high time-efficiency.
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Affiliation(s)
- Zihan Ning
- 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.,Tsinghua University-Peking University Joint Center for Life Sciences, Beijing, China
| | - Zhensen Chen
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China.,Tsinghua University-Peking University Joint Center for Life Sciences, Beijing, China
| | - Nan Zhang
- Department of Radiology, Beijing Anzhen Hospital, Beijing, China
| | - Rui Wang
- Department of Radiology, Peking University First Hospital, Beijing, China
| | - Rui Shen
- 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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15
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Li D, Qiao H, Yang X, Li J, Dai W, Chen X, Shen J, Zhao X. Co-existing Hypertension and Hyperhomocysteinemia Increases the Risk of Carotid Vulnerable Plaque and Subsequent Vascular Event: An MR Vessel Wall Imaging Study. Front Cardiovasc Med 2022; 9:858066. [PMID: 35433864 PMCID: PMC9005821 DOI: 10.3389/fcvm.2022.858066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 03/07/2022] [Indexed: 11/17/2022] Open
Abstract
Purpose This study sought to determine the associations of co-existing hypertension and hyperhomocysteinemia (H-Hcy) with carotid vulnerable plaque features and subsequent vascular events. Methods Symptomatic patients with carotid atherosclerosis were enrolled and underwent carotid magnetic resonance (MR) vessel wall imaging. The patients were divided into the following groups: co-existing hypertension and H-Hcy group; isolated hypertension group; isolated H-Hcy group; and control group. The morphological and compositional characteristics of carotid plaques were assessed on MR images and compared among different groups. Univariate and multivariate cox regressions were used to calculate the hazard ratio (HR) and corresponding 95% confidence interval (CI) of co-existing hypertension and H-Hcy in predicting subsequent vascular events after at least 1-year followed-up. Results In total, 217 patients (mean age, 59.4 ± 11.9 years; 154 males) were recruited. Patients in co-existing hypertension and H-Hcy group had a significantly higher prevalence of carotid lipid-rich necrotic core (LRNC) than isolated H-Hcy and control group (73.2 vs. 43.3 vs. 50%, p = 0.015). During the median follow-up time of 12.2 ± 4.3 months, 61 (39.8%) patients experienced vascular events. After adjusting for baseline confounding factors, co-existing hypertension and H-Hcy (HR, 1.82; 95% CI, 1.01–3.27; p = 0.044), presence of carotid LRNC (HR, 2.25; 95% CI, 1.09–4.65; p = 0.029), and combination of co-existing hypertension and H-Hcy and carotid LRNC (HR, 2.39; 95% CI, 1.26–4.43; p = 0.007) were significantly associated with subsequent vascular events. Conclusions Co-existing hypertension and H-Hcy are associated with carotid vulnerable plaque features, such as LRNC. Combining co-existing hypertension and H-Hcy with carotid vulnerable plaque features has a stronger predictive value for subsequent vascular events than each measurement alone.
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Affiliation(s)
- Dongye Li
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Huiyu Qiao
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - Xieqing Yang
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jin Li
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Wei Dai
- Department of Neurology, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xiaoyi Chen
- Department of Radiology, Beijing Geriatric Hospital, Beijing, China
| | - Jun Shen
- Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
- *Correspondence: Jun Shen
| | - Xihai Zhao
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
- Xihai Zhao
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16
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Han Y, Zhang R, Yang D, Li D, Han H, Qiao H, Chen S, Wang Y, Yu M, Hong Y, Wang Z, Zhao X, Liu G. Risk Factors for Asymptomatic and Symptomatic Intracranial Atherosclerosis Determined by Magnetic Resonance Vessel Wall Imaging in Chinese Population: A Case–Control Study. Ther Clin Risk Manag 2022; 18:61-70. [PMID: 35058694 PMCID: PMC8764293 DOI: 10.2147/tcrm.s335401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 11/16/2021] [Indexed: 11/23/2022] Open
Abstract
Background and Purpose The association between risk factors and intracranial atherosclerosis disease (ICAD) determined by magnetic resonance (MR) vessel wall imaging in Chinese population has not been investigated. The aim of this study was to investigate the associations of conventional vascular risk factors with asymptomatic and symptomatic ICAD using MR vessel wall imaging in Chinese population. Methods The study population was recruited from two cohort studies of ICASMAP and CAMERA comprised 104 symptomatic ICAD subjects (57.1 ± 11.1 years; 35.6% females), 51 asymptomatic ICAD subjects (70.1 ± 8.4 years; 50.0% females) and 418 controls (58.0 ± 13.3 years; 61.0% females) defined as asymptomatic subjects without ICAD on MR vessel wall imaging. We compared the vascular risk factors between the three groups using a multivariate logistic regression analysis. Results Compared with controls, there was a significant positive association between age (OR: 1.07, 95% CI: 1.03–1.10, p < 0.001) and hypertension (OR: 3.03, 95% CI: 1.45–6.36, p = 0.003) and asymptomatic ICAD. There was a positive association of smoking (OR: 3.41, 95% CI: 1.57–7.42, p = 0.001), hypertension (OR: 7.43, 95% CI: 3.81–14.49, p < 0.001) and diabetes (OR: 3.54, 95% CI: 1.93–6.49, p < 0.001) and an inverse association of high-density lipoprotein (HDL) (p < 0.017) with symptomatic ICAD. Compared to asymptomatic ICAD, there was a significant inverse association of age (OR: 0.86, 95% CI: 0.81–0.92, p < 0.001) and HDL (p < 0.001) with symptomatic ICAD. Conclusion Old age and hypertension are associated with asymptomatic ICAD and smoking, hypertension, diabetes and lower HDL are associated with an increased risk of symptomatic ICAD in Chinese population. Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT03417063.
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Affiliation(s)
- Yongjun Han
- Department of Radiology, Aerospace Center Hospital, Beijing, People’s Republic of China
| | - Runhua Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, People’s Republic of China
| | - Dandan Yang
- Center for Brain Disorders Research, Capital Medical University and Beijing Institute of Brain Disorders, Beijing, People’s Republic of China
| | - Dongye Li
- Department of Radiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People’s Republic of China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, People’s Republic of China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, People’s Republic of China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, People’s Republic of China
| | - Yu Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, People’s Republic of China
| | - Miaoxin Yu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, People’s Republic of China
| | - Yin Hong
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, People’s Republic of China
| | - Zhiqun Wang
- Department of Radiology, Aerospace Center Hospital, Beijing, People’s Republic of China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, People’s Republic of China
- Correspondence: Xihai Zhao Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Haidian District, Beijing, 100084, People’s Republic of ChinaTel +86-10-62792662Fax +86-10-62796175 Email
| | - Gaifen Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, People’s Republic of China
- Gaifen Liu Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai District, Beijing, 100070,People’s Republic of ChinaTel +86-10-59976746 Email
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17
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Huang J, Yin H, Zhang Y, Qiao H, Su L, Wang J. Expression of TGF-β/Smads in Cecum and Spleen of Chicken Infected with E. Tenella. Braz J Poult Sci 2022. [DOI: 10.1590/1806-9061-2021-1446] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- J Huang
- Henan University of Technology, China; State Administration of Grain, China
| | - H Yin
- Henan University of Technology, China; State Administration of Grain, China
| | - Y Zhang
- Henan University of Technology, China
| | - H Qiao
- Henan University of Technology, China
| | - L Su
- Henan University of Technology, China
| | - J Wang
- Henan University of Technology, China
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18
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Ning Z, Zhang N, Qiao H, Han H, Shen R, Yang D, Chen S, Zhao X. Free-Breathing Three-Dimensional Isotropic-Resolution MR sequence for simultaneous vessel wall imaging of bilateral renal arteries and abdominal aorta: Feasibility and reproducibility. Med Phys 2021; 49:854-864. [PMID: 34967464 DOI: 10.1002/mp.15436] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 11/03/2021] [Accepted: 12/28/2021] [Indexed: 11/08/2022] Open
Abstract
PURPOSE Many diseases can simultaneously involve renal arteries and the adjacent abdominal aorta. The study proposed a free-breathing three-dimensional (3D) isotropic-resolution MR sequence for simultaneous vessel wall imaging of bilateral renal arteries and adjacent abdominal aorta. METHODS A respiratory triggered isotropic-resolution sequence which combined the improved motion-sensitized driven-equilibrium (iMSDE) preparation with the spoiled gradient recalled (SPGR) readout (iMSDE-SPGR) was proposed for simultaneous vessel wall imaging of renal arteries and abdominal aorta. The proposed iMSDE-SPGR sequence was optimized by positioning spatial saturation pulses (i.e. REST slabs) elaborately to further alleviate respiratory and gastrointestinal motion artifacts and selecting appropriate first-order gradient moment (m1 ) of the iMSDE preparation. Thirteen healthy subjects and thirteen patients with renal artery stenosis (RAS) underwent simultaneous vessel wall imaging with the optimized iMSDE-SPGR sequence at 3.0T. Signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and morphology of renal arterial wall and aortic wall were measured. Reproducibility of intra-observer, inter-observer and scan-rescan (n = 13 healthy subjects) in measuring SNR, CNR and morphology was evaluated. For the reproducibility test, the agreement was determined using intraclass correlation coefficients (ICC) and the differences were compared using paired-t test or non-parametric Wilcoxon test when appropriate. Bland-Altman plots were used to calculate the bias between observers and between scans. RESULTS The proposed iMSDE-SPGR sequence was feasible for simultaneous vessel wall imaging both in the healthy subjects and the patients. The sequence showed good to excellent inter-observer (ICC:0.615-0.999), excellent intra-observer (ICC:0.801-0.998) and scan-rescan (ICC:0.768-0.998) reproducibility in measuring morphology, SNR and CNR. There were no significant differences in SNR, CNR and morphology measurements between observers and between scans (all P>0.05). Bland-Altman plots showed small bias in assessing SNR, CNR and morphology. DATA CONCLUSION The proposed free-breathing 3D isotropic-resolution iMSDE-SPGR technique is feasible and reproducible for simultaneous vessel wall imaging of bilateral renal arteries and adjacent abdominal aorta. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, 100084, China
| | - Nan Zhang
- Department of Radiology, Beijing Anzhen Hospital, Beijing, 100029, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, 100084, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, 100084, China
| | - Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, 100084, China
| | - Dandan Yang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, 100084, China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, 100084, China.,Tsinghua University-Peking University Joint Center for Life Sciences, Beijing, 100084, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, 100084, China
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Kang YY, Li JJ, Sun JX, Wei JX, Ding C, Shi CL, Wu G, Li K, Ma YF, Sun Y, Qiao H. Genome-wide scanning for CHD1L gene in papillary thyroid carcinoma complicated with type 2 diabetes mellitus. Clin Transl Oncol 2021; 23:2536-2547. [PMID: 34245428 DOI: 10.1007/s12094-021-02656-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 05/28/2021] [Indexed: 02/06/2023]
Abstract
PURPOSE Papillary thyroid carcinoma (PTC) represents the most common subtype of thyroid cancer (TC). This study was set out to explore the potential effect of CHD1L on PTC and type 2 diabetes mellitus (T2DM). METHODS We searched for T2DM susceptibility genes through the GWAS database and obtained T2DM-related differentially expressed gene from the GEO database. The expression and clinical data of TC and normal samples were collated from the TCGA database. Receiver operating characteristic (ROC) curve analysis was subsequently applied to assess the sensitivity and specificity of the CHD1L for the diagnosis of PTC. The MCP-counter package in R language was then utilized to generate immune cell score to evaluate the relationship between CHD1L expression and immune cells. Then, we performed functional enrichment analysis of co-expressed genes and DEGs to determine significantly enriched GO terms and KEGG to predict the potential functions of CHD1L in PTC samples and T2DM adipose tissue. RESULTS From two genes (ABCB9, CHD1L) were identified to be DEGs (p < 1 * 10-5) that exerted effects on survival (HR > 1, p < 0.05) in PTC and served as T2DM susceptibility genes. The gene expression matrix-based scoring of immunocytes suggested that PTC samples with high and low CHD1L expression presented with significant differences in the tumor microenvironment (TME). The enrichment analysis of CHD1L co-expressed genes and DEGs suggested that CHD1L was involved in multiple pathways to regulate the development of PTC. Among them, Kaposi sarcoma-associated herpesvirus infection, salmonella infection and TNF signaling pathways were highlighted as the three most relevant pathways. GSEA analysis, employed to analyze the genome dataset of PTC samples and T2DM adipose tissue presenting with high and low expression groups of CHD1L, suggests that these differential genes are related to chemokine signaling pathway, leukocyte transendothelial migration and TCELL receptor signaling pathway. CONCLUSION CHD1L may potentially serve as an early diagnostic biomarker for PTC, and a target of immunotherapy for PTC and T2DM.
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Affiliation(s)
- Y Y Kang
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, No. 246, Xuefu Road, Nangang District, Harbin, 150081, Heilongjiang, People's Republic of China.,Department of Endocrinology and Metabolism, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, People's Republic of China
| | - J J Li
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, No. 246, Xuefu Road, Nangang District, Harbin, 150081, Heilongjiang, People's Republic of China
| | - J X Sun
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, No. 246, Xuefu Road, Nangang District, Harbin, 150081, Heilongjiang, People's Republic of China
| | - J X Wei
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, No. 246, Xuefu Road, Nangang District, Harbin, 150081, Heilongjiang, People's Republic of China
| | - C Ding
- Departments of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, People's Republic of China
| | - C L Shi
- Departments of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, People's Republic of China
| | - G Wu
- Departments of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, People's Republic of China
| | - K Li
- Departments of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, People's Republic of China
| | - Y F Ma
- Departments of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, People's Republic of China
| | - Y Sun
- Departments of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, Heilongjiang, People's Republic of China
| | - H Qiao
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, No. 246, Xuefu Road, Nangang District, Harbin, 150081, Heilongjiang, People's Republic of China.
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Liu XD, Qiao H, Wang C, Meng XJ, Pan XF, Niu DS, Li J. [Metabolomics study of urine with Benzene, Toluene and Xylene combined exposure based on ultra performance liquid chromatography-quadrupole time-of-flight mass spectrometry]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:248-252. [PMID: 33910281 DOI: 10.3760/cma.j.cn121094-20200228-00092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To study the effects of combined occupational exposure of benzene, toluene, and xylene on human metabolism at an overall level, and to screen biomarkers related to the combined occupational exposure of benzene, toluene, and xylene, and to explore the mechanism of early health effects preliminarily caused by combined occupational exposure of benzene, toluene, and xylene by identification of biomarkers and retrieval of metabolic pathways. Methods: A shoe-making company was selected as the research site. Twenty subjects for the exposed group and the control group were selected separately, and urine of the subjects was collected. The metabolic profiles of the samples were collected by liquid chromatography time-of-flight mass spectrometry, and professional metabolomics and multivariate statistical analysis software were used to establish PCA and OPLS-DA analysis models to screen potential biomarkers and identify biomarkers. Finally, based on the dynamic changes and trends of potential biomarkers between groups, the mechanism of body damage caused by benzene, toluene, and xylene was initially explored. Results: Urine metabolomics analysis showed that the metabolic profile of urine samples of the benzene, toluene, and xylene combined exposure group was different from that of the control group. 27 potential biomarkers that were closely related to the combined exposure of benzene, toluene, and xylene were screened and identified. These potential biomarkers were enriched in 16 metabolic pathways, of which 3 pathways were significantly enriched (P<0.05) , respectively, lysine metabolism, amino sugar metabolism, and nucleotide sugar metabolism. Conclusion: The metabonomics method can well reflect the changes in the metabolome of urine samples in the occupational population after the combined exposure of benzene, toluene, and xylene, which will help us better evaluate the risk of combined exposure of benzene, toluene, and xylene and prevent and control their health risks.
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Affiliation(s)
- X D Liu
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - H Qiao
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - C Wang
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - X J Meng
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - X F Pan
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - D S Niu
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - J Li
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, 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] [What about the content of this article? (0)] [Affiliation(s)] [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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Jiang BL, Gao X, Xiong J, Zhu PY, Luo Y, Xu D, Tang Y, Wang YT, Chen C, Yang HY, Qiao H, Zou JZ. Experimental study on synergistic effect of HIFU treatment of tumors using Bifidobacterium bound with cationic phase-change nanoparticles. Eur Rev Med Pharmacol Sci 2021; 24:5714-5725. [PMID: 32495907 DOI: 10.26355/eurrev_202005_21363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Anaerobic bacteria can enter the solid tumor in the hypoxic region to colonize and proliferate. Aggregation of nanoparticles in the tumor area can enhance molecular imaging and therapy. It is hypothesized that the combination of the two could possibly achieve better imaging and tumor treatment. This study presents a biocompatible bacteria-based system that can deliver cationic phase-change nanoparticles (CPNs) into solid tumor to achieve enhanced imaging and treatment integration. MATERIALS AND METHODS Cationic phase-change nanoparticles (CPNs) and Bifidobacterium longum (BF) were mixed to determine the best binding rate and were placed in an agar phantom for ultrasonography. BF-CPNs complex adhesion to breast cancer cells was observed by laser confocal microscopy. In vivo, BF-CPNs and control groups were injected into tumors in breast cancer nude mouse models. Nanoparticles distribution was observed by ultrasound and in vivo fluorescence imaging. HIFU ablation was performed after injection. Gross and histological changes were compared and synergy was evaluated. RESULTS Bifidobacterium longum (BF) and CPNs were combined by electrostatic adsorption. The BF-CPNs particles could increase the deposition of energy after liquid-gas phase-change during High Intensity Focused Ultrasound (HIFU) irradiation of tumor. CONCLUSIONS This study shows a valid method in diagnosis and therapy integration for providing stronger imaging, longer retention time, and more effective tumor treatment.
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Affiliation(s)
- B-L Jiang
- State Key Laboratory of Ultrasound Engineering in Medicine Co-Founded by Chongqing and the Ministry of Science and Technology, College of Biomedical Engineering, Chongqing Key Laboratory of Biomedical Engineering; Chongqing Medical University, Chongqing Collaborative Innovation Center for Minimally-Invasive and Noninvasive Medicine, Chongqing, China
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Ning Z, Chen S, Sun H, Shen R, Qiao H, Han H, Yang D, Zhao X. Evaluating renal arterial wall by non-enhanced 2D and 3D free-breathing black-blood techniques: Initial experience. Magn Reson Imaging 2021; 79:5-12. [PMID: 33677024 DOI: 10.1016/j.mri.2021.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 02/28/2021] [Accepted: 03/03/2021] [Indexed: 10/22/2022]
Abstract
OBJECTIVES To evaluate the feasibility and reproducibility of 2D and 3D black-blood sequences in measuring morphology of renal arterial wall. METHODS The 2D and 3D imaging sequences used variable-refocusing-flip-angle and constant-low-refocusing-flip-angle turbo spin echo (TSE) readout respectively, with delicately selected black-blood scheme and respiratory motion trigger for free-breathing imaging. Fourteen healthy subjects and three patients with Takayasu arteritis underwent renal artery wall imaging with 3D double inversion recovery (DIR) TSE and 2D Variable Flip Angle-TSE (VFA-TSE) black-blood sequences at 3.0 T. Four healthy subjects were randomly selected for scan-rescan reproducibility experiments. Signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and morphology of arterial wall were measured and compared using paired-t-test or Wilcoxon signed-rank test between 2D and 3D sequences. The inter-observer, intra-observer and scan-rescan agreements of above measurements were determined using intraclass correlation coefficient (ICC). RESULTS The 2D and 3D imaging sequences showed similar morphological measurements (lumen area, wall area, mean wall thickness and maximum wall thickness) of renal arterial wall (all P > 0.05) and excellent agreement (ICC: 0.853-0.954). Compared to 2D imaging, 3D imaging exhibited significantly lower SNRlumen (P < 0.01) and SNRwall (P = 0.037), similar contrast-to-noise ratio (CNR) (P = 0.285), and higher CNR efficiency (CNReff) (P < 0.01). Both 2D and 3D imaging showed good to excellent inter-observer (ICC: 0.723-0.997), intra-observer (ICC: 0.749-0.996) and scan-rescan (ICC: 0.710-0.992) reproducibility in measuring renal arterial wall morphology, SNR and CNR, respectively. CONCLUSIONS Both high-resolution free-breathing 2D VFA-TSE and 3D DIR TSE black-blood sequences are feasible and reproducible in high-resolution renal arterial wall imaging. The 2D imaging has high SNR, whereas 3D imaging has high imaging efficiency.
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Affiliation(s)
- Zihan Ning
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | - Hao Sun
- Department of Radiology, Peking Union Medical College Hospital, Beijing 100005, China
| | - Rui Shen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | - Dandan Yang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China.
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Zhao L, Zhang W, Song Q, Xuan Y, Li K, Cheng L, Qiao H, Wang G, Zhou C. A WRKY transcription factor, TaWRKY40-D, promotes leaf senescence associated with jasmonic acid and abscisic acid pathways in wheat. Plant Biol (Stuttg) 2020; 22:1072-1085. [PMID: 32609938 DOI: 10.1111/plb.13155] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 06/15/2020] [Indexed: 06/11/2023]
Abstract
Leaf senescence is a complex and precise regulatory process that is correlated with numerous internal and environmental factors. Leaf senescence is tightly related to the redistribution of nutrients, which significantly affects productivity and quality, especially in crops. Evidence shows that the mediation of transcriptional regulation by WRKY transcription factors is vital for the fine-tuning of leaf senescence. However, the underlying mechanisms of the involvement of WRKY in leaf senescence are still unclear in wheat. Using RNA sequencing data, we isolated a novel WRKY transcription factor, TaWRKY40-D, which localizes in the nucleus and is basically induced by the progression of leaf senescence. TaWRKY40-D is a promoter of natural and dark-induced leaf senescence in transgenic Arabidopsis thaliana and wheat. We also demonstrated a positive response of TaWRKY40-D in wheat upon jasmonic acid (JA) and abscisic acid (ABA) treatment. Consistent with this, the detached leaves of TaWRKY40-D VIGS (virus-induced gene silencing) wheat plants showed a stay-green phenotype, while TaWRKY40-D overexpressing Arabidopsis plants showed premature leaf senescence after JA and ABA treatment. Moreover, our results revealed that TaWRKY40-D positively regulates leaf senescence, possibly by altering the biosynthesis and signalling of JA and ABA pathway genes. Together, our results suggest a new regulator of JA- and ABA-related leaf senescence, as well as a new candidate gene that can be used for molecular breeding in wheat.
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Affiliation(s)
- L Zhao
- Ministry of Education Key Laboratory of Molecular and Cell Biology, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - W Zhang
- Ministry of Education Key Laboratory of Molecular and Cell Biology, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Q Song
- Hebei Key Laboratory of Chinese Medicine Research on Cardio-Cerebrovascular Disease, Hebei University of Chinese Medicine, Shijiazhuang, China
| | - Y Xuan
- Ministry of Education Key Laboratory of Molecular and Cell Biology, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - K Li
- Ministry of Education Key Laboratory of Molecular and Cell Biology, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - L Cheng
- Ministry of Education Key Laboratory of Molecular and Cell Biology, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - H Qiao
- Ministry of Education Key Laboratory of Molecular and Cell Biology, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - G Wang
- Ministry of Education Key Laboratory of Molecular and Cell Biology, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - C Zhou
- Ministry of Education Key Laboratory of Molecular and Cell Biology, Hebei Collaboration Innovation Center for Cell Signaling, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
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Jing SH, Yu B, Qiao H. Correlation between endothelial cell apoptosis and SIRT3 gene expression in atherosclerosis rats. Eur Rev Med Pharmacol Sci 2020; 23:9033-9040. [PMID: 31696493 DOI: 10.26355/eurrev_201910_19305] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To investigate the correlation between the endothelial cell apoptosis and sirtuin-3 (SIRT3) gene expression in atherosclerosis (AS) rats. MATERIALS AND METHODS The AS model in rats was established through the high-fat diet. A total of 12 rats fed normally were enrolled as the control group, while 12 rats fed with high-fat diet were enrolled as the experimental group. After the experiment, the aortic tissues of rats were collected, and the relative area of the arterial plaque (total area of plaque/total area of the vessel) was measured via oil red O staining. The serum was collected to detect the levels of blood lipid, including total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). Moreover, the expression levels of SIRT3 and apoptotic genes were determined via Reverse Transcription-Polymerase Chain Reaction (RT-PCR), Western blotting and immunohistochemistry (IHC), respectively. The apoptosis was detected via terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) staining. RESULTS The area of aortic plaque in the experimental group [(36.15±9.52)%] was significantly larger than that in the control group [(11.62±3.25)%] (p<0.01). Compared with those in the control group, the serum TC, TG and LDL-C levels were significantly increased in the experimental group, while the HDL-C level was significantly decreased (p<0.05). Compared with those in the control group, the mRNA and protein expression levels of SIRT3 in the aorta of rats markedly declined in the experimental group (p<0.05), while Caspase-3 and Caspase-9 expressions were significantly increased (p<0.05), respectively. The results of TUNEL staining revealed that the apoptosis in the aorta of rats in the experimental group was remarkably higher than that in the control group (p<0.05). CONCLUSIONS The expression of SIRT3 is deleted in the aorta of AS rats and closely related to the apoptosis. SIRT3 may serve as a potential target for the treatment of AS.
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Affiliation(s)
- S-H Jing
- Department of Cardiovascular, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
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Huo R, Xu H, Yang D, Qiao H, Li J, Han H, Liu Y, Wang T, Yuan H, Zhao X. Associations Between Carotid Plaque Characteristics and Improvement of Cerebral Blood Perfusion in Patients With Moderate to Severe Carotid Stenosis Undergoing Carotid Endarterectomy. J Magn Reson Imaging 2020; 53:613-625. [PMID: 33037860 DOI: 10.1002/jmri.27365] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/31/2020] [Accepted: 09/01/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND The relationship between plaque characteristics and their predictive value for perioperative cerebral blood flow (CBF) are unknown. PURPOSE To investigate the relationship between carotid plaque characteristics and perioperative CBF utilizing MRI. STUDY TYPE Prospective. POPULATION In all, 131 patients with carotid moderate-to-severe stenosis referred for carotid endarterectomy (CEA). FIELD STRENGTH/SEQUENCE 3T, black-blood T1 - and T2 -weighted, 3D time-of-flight, and simultaneous noncontrast angiography intraplaque hemorrhage. ASSESSMENT The relative CBF (rCBF = CBFindex-hemisphere /CBFcontralateral-hemisphere ) and the CBF difference ratio (DRCBF = [CBFpost-CEA - CBFpre-CEA ]/CBFpre-CEA ) in the middle cerebral artery territory were measured. The pre- and post-CEA CTP data were used as the assessment standard for CBF change. Carotid lipid-rich necrotic core (LRNC), intraplaque hemorrhage, calcification, fibrous cap rupture, maximum wall thickness, normalized wall index (NWI), and stenosis were determined. STATISTICAL TESTS Pearson or Spearman correlation, Mann-Whitney U-test, and linear regression. RESULTS Patients with LRNC had higher rCBFpre-CEA than those without (1.0 ± 0.1 vs. 0.9 ± 0.1, P < 0.05). NWI was weakly correlated with rCBFpre-CEA (r = -0.213, P < 0.05) and DRCBF (r = 0.185, P < 0.05) and marginally correlated with rCBFpost-CEA (r = 0.166, P = 0.057). LRNC was weakly correlated with rCBFpre-CEA (r = 0.179, P < 0.05). NWI was associated with rCBFpre-CEA (β = -0.035; 95% confidence interval [CI] [-0.064, -0.006]; P < 0.05), rCBFpost-CEA (β = 0.042; 95% CI [0.002, 0.081]; P < 0.05) and DRCBF (β = 0.105; 95% CI [0.026, 0.185]; P < 0.05). After adjusting for confounding factors, associations of NWI with rCBFpost-CEA (β = 0.059; 95% CI [0.016, 0.103]; P < 0.05) and DRCBF (β = 0.110; 95% CI [0.021, 0.199]; P < 0.05) remained statistically significant, while the association between NWI and rCBFpre-CEA was no longer significant (β = -0.026; 95% CI [-0.058, 0.006]; P = 0.112).The associations of LRNC with rCBFpre-CEA (β = 0.057; 95% CI [-0.0006, 0.114]; P = 0.052) and DRCBF (β = -0.157; 95% CI [-0.314, 0.001]; P = 0.051) were close to statistical significance. After adjusting for confounding factors, these associations were statistically significant (of LRNC vs. rCBFpre-CEA : β = 0.060; 95% CI [0.003, 0.118]; P < 0.05; LRNC vs. DRCBF : β = -0.205; 95% CI [-0.375, -0.036]; P < 0.05). DATA CONCLUSION Carotid plaque burden and components, particularly LRNC, might be effective indicators for CBF change following CEA. Level of Evidence 1 Technical Efficacy Stage 5.
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Affiliation(s)
- Ran Huo
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Huimin Xu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Dandan Yang
- Center for Brain Disorders Research, Capital Medical University and Beijing Institute for Brain Disorders, Beijing, China.,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
| | - Jin Li
- Department of Radiology, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Ying Liu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Tao Wang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China
| | - Huishu Yuan
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
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Qiao H, Li D, Cao J, Qi H, Han Y, Han H, Xu H, Wang T, Chen S, Chen H, Wang Y, Zhao X. Quantitative evaluation of carotid atherosclerotic vulnerable plaques using in vivo T1 mapping cardiovascular magnetic resonaonce: validation by histology. J Cardiovasc Magn Reson 2020; 22:38. [PMID: 32434582 PMCID: PMC7240932 DOI: 10.1186/s12968-020-00624-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 04/07/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND It has been proved that multi-contrast cardiovascular magnetic resonance (CMR) vessel wall imaging could be used to characterize carotid vulnerable plaque components according to the signal intensity on different contrast images. The signal intensity of plaque components is mainly dependent on the values of T1 and T2 relaxation. T1 mapping recently showed a potential in identifying plaque components but it is not well validated by histology. This study aimed to validate the usefulness of in vivo T1 mapping in assessing carotid vulnerable plaque components by histology. METHODS Thirty-four subjects (mean age, 64.0 ± 8.9 years; 26 males) with carotid plaques referred to carotid endarterectomy were prospectively enrolled and underwent 3 T CMR imaging from May 2017 to October 2017. The T1 values of intraplaque hemorrhage (IPH), necrotic core (NC) and loose matrix (LM) which were identified on multi-contrast vessel wall images or histology were measured on in-vivo T1 mapping. The IPHs were divided into two types based on the proportion of the area of fresh hemorrhage on histology. The T1 values of different plaque components were compared using Mann-Whitney U test and the agreement between T1 mapping and histology in identifying and quantifying IPH was analyzed with Cohen's Kappa and intraclass correlation coefficient (ICC). RESULTS Of 34 subjects, 19 had histological specimens matched with CMR imaging. The mean T1 values of IPH (651 ± 253 ms), NC (1161 ± 182 ms) and LM (1447 ± 310 ms) identified by histology were significantly different. The T1 values of Type 1 IPH were significantly shorter than that of Type 2 IPH (456 ± 193 ms vs. 775 ± 205 ms, p < 0.001). Moderate to excellent agreement was found in identification (kappa = 0.51, p < 0.001), classification (kappa = 0.40, p = 0.028) and segmentation (ICC = 0.816, 95% CI 0.679-0.894) of IPHs between T1 mapping and histology. CONCLUSIONS The T1 values of carotid plaque components, particularly for intraplaque hemorrhage, are differentiable, and the stage of intraplaque hemorrhage can be classified according to T1 values, suggesting the potential capability of assessment of vulnerable plaque components by T1 mapping.
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Affiliation(s)
- Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Dongye Li
- Department of Radiology, Sun Yat-sen Memorial hospital, Sun Yat-sen University, Guangzhou, China
| | - Jingli Cao
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Haikun Qi
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Yongjun Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Hualu Han
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Huimin Xu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Tao Wang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China
| | - Shuo Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Yajie Wang
- Department of Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China.
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Qiao H, Cai Y, Huang M, Liu Y, Zhang Q, Huang L, Chen H, Yuan C, Zhao X. Quantitative assessment of carotid artery atherosclerosis by three-dimensional magnetic resonance and two-dimensional ultrasound imaging: a comparison study. Quant Imaging Med Surg 2020; 10:1021-1032. [PMID: 32489926 DOI: 10.21037/qims-19-818] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Background It has been proven that magnetic resonance (MR) and ultrasound imaging are useful tools in the quantification of carotid atherosclerotic plaques. However, there are only a few pieces of evidence to illustrate the links of quantitative measurements of carotid plaques between MR and ultrasound imaging. This study looked to compare the quantitative measurements of carotid plaques and investigate their relationship between three-dimensional (3D) MR vessel wall imaging and two-dimensional (2D) ultrasound imaging. Methods Seventy-five asymptomatic elderly subjects (mean age: 73.3±5.7 years; 45 males) with carotid atherosclerotic plaques diagnosed by both ultrasound and MR imaging were included in this study. The plaque size, including the maximum wall thickness (Max WT), plaque length, and plaque area, was measured by 3D MR and ultrasound imaging on longitudinal and cross-sectional views. The quantitative assessments of carotid plaque size were compared and correlated between 3D MR and 2D ultrasound imaging. Results In total, the quantitative measurements of 101 plaques on longitudinal views or 44 plaques on cross-sectional views of both MR and ultrasound imaging were compared. The Max WT of the plaques (longitudinal: 2.9±0.8 vs. 2.4±0.9 mm; cross-sectional: 3.2±1.1 vs. 2.6±0.7 mm) and plaque areas (longitudinal: 24.3±13.4 vs. 17.0±12.7 mm2; cross-sectional: 24.9±24.6 vs. 16.8±13.3 mm2) measured by MR imaging were found to be significantly higher than those measured by ultrasound imaging (all P<0.001). Moderate to strong correlations were found in Max WT, plaque area, plaque length between 3D MR and ultrasound imaging. Conclusions The quantitative measurements of carotid plaques using 3D MR and 2D ultrasound are significantly correlated. The plaque area and Max WT measured by 3D MR imaging are more significant than these parameters measured by 2D ultrasound imaging, which might be explained by the resolution of MR imaging and the workflow of measurements.
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Affiliation(s)
- Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | - Ying Cai
- Department of Radiology, Taizhou People's Hospital, Taizhou 225400, China
| | - Manwei Huang
- Department of Ultrasound, China Meitan General Hospital, Beijing 100028, China
| | - Yang Liu
- Department of Radiology, The Affiliated Hospital of Yangzhou University, Yangzhou 225009, China
| | - Qiang Zhang
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | | | - Huijun Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
| | - Chun Yuan
- Department of Radiology, University of Washington, Washington, Seattle, USA
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing 100084, China
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Chang Y, Donglan Y, Xinchong S, Ganhua L, Bing Z, Yao L, Rutong Z, Qiao H, Xiangsong Z. One-day protocol for 18F-FDG and 13N-ammonia PET/CT with uptake decoupling score in differentiating untreated low-grade glioma from inflammation. Rev Esp Med Nucl Imagen Mol 2020; 39:68-74. [PMID: 32005511 DOI: 10.1016/j.remn.2019.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 07/27/2019] [Accepted: 08/27/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE Accurate identification of low-grade gliomas (LGGs; World Health Organization grades I and II) and their differentiation from brain inflammation lesions (BILs) remains difficult; however, it is essential for treatment. This study assessed whether a one-day protocol for voxel-wise 18F-FDG and 13N-ammonia PET/CT with uptake decoupling analysis could differentiate LGGs from BILs. MATERIALS AND METHODS Twenty-eight patients with LGGs and 16 patients with BILs underwent 18F-FDG and 13N-ammonia PET/CT on the same day before any type of therapy. The decoupling score and tumor-to-normal tissue (T/N) ratio of 18F-FDG and 13N-ammonia were calculated at each location. Student's t-test was used to compare values, and ROC curve analysis was used to establish a cut-off value for the T/N ratio and decoupling score. Area under the curve (AUC) was calculated to evaluate differential efficacy. RESULTS Significant differences were observed in 13N-ammonia T/N ratio (p=0.018) and decoupling score (p=0.003) between LGGs and BILs; however, the 18F-FDG T/N ratio did not show any differences (p=0.413). Optimal cut-off values for 18F-FDG T/N ratio, 13N-ammonia T/N ratio, and decoupling score were 0.73, 0.97, and 2.31, respectively, with corresponding AUCs of 0.48, 0.68, and 0.77. The respective sensitivity, specificity, and accuracy parameters using these cut-off values were 53.6%, 62.5%, and 56.8%, respectively, for 18F-FDG; 50.0%, 75.0%, and 59.1%, respectively, for 13N-ammonia; and 60.7%, 93.8%, and 72.7%, respectively, for decoupling score. CONCLUSIONS 18F-FDG/13N-ammonia uptake decoupling score can be used to discriminate between LGGs and BILs. Use of a decoupling map of these two tracers can improve visual analysis and diagnostic accuracy.
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Affiliation(s)
- Y Chang
- Department of Nuclear Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Y Donglan
- Department of Medical Engineering, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - S Xinchong
- Department of Nuclear Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - L Ganhua
- Department of Nuclear Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Z Bing
- Department of Nuclear Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - L Yao
- School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China
| | - Z Rutong
- School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China
| | - H Qiao
- Department of Nuclear Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Z Xiangsong
- Department of Nuclear Medicine, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
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Lu M, Yuan F, Zhang L, Peng P, Qiao H, Cai J, Zhao X. Correction to: Segment-specific progression of carotid artery atherosclerosis: a magnetic resonance vessel wall imaging study. Neuroradiology 2019; 62:221. [PMID: 31820064 DOI: 10.1007/s00234-019-02334-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The above article was published online with incorrect presentation of author name. Mingming is the given name and Lu is the family name. The presentation of the author name has been corrected above.
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Affiliation(s)
- Mingming Lu
- Department of Radiology, PLA General Hospital, Beijing, 100853, China.,Department of Radiology, Pingjin Hospital, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, China
| | - Fei Yuan
- Department of Radiology, Pingjin Hospital, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, China
| | - Lichen Zhang
- Department of Radiology, PLA General Hospital, Beijing, 100853, China
| | - Peng Peng
- Department of Radiology, Pingjin Hospital, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Jianming Cai
- Department of Radiology, PLA General Hospital, Beijing, 100853, China.
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
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Qiao H, Liu XD, Meng XJ, Li J, Niu DS, Ding XW, Nie J. [Determination of seven urinary metabolites of benzene, toluene and xylene by ultra-high performance liquid chromatography-triple quadrupole mass spectrometry]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2019; 37:303-307. [PMID: 31177703 DOI: 10.3760/cma.j.issn.1001-9391.2019.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To develop a method using ultra-high performance liquid chromatography-triple quadrupole mass spectrometry to determine the urinary metabolites of benzene, toluene and xylene. The selected metabolites are S-phenylmercapturic acid (S-PMA) , trans, trans-muconic acid (t, t-MA) , 8-hydroxy-2 deoxyguanosine (8-OHdG) , hippuric acid (HA) , 2-methylhippuric acid (2-MHA) , 3-methylhippuric acid (3-MHA) and 4-methylhippuric acid (4-MHA) . Methods: The urine sample was pretreated using methanol to precipitate the proteins. HSS T3 chromatographic column was used to separate the metabolites. The mass spectrometric acquisition was carried out using multiple reaction monitoring (MRM) after ionization with ESI source. External standard method was used for quantification. Results: All the standard curves showed good linear relation, and r of the seven metabolites was all above 0.999. The detection limits and quantitative limits of the seven metabolites were 0.01-500 ng/ml and 0.02-1 000 ng/ml (based on the actual dilution ratio) , respectively. The average spiked recoveries of four loadings ranged from 85.8% to 109.9%. The intra-day and inter-day precisions were 0.2%-4.5% and 0.6%-9.5%, respectively. The samples can be kept for at least 14 days at both 4 ℃ and -20 ℃. Conclusion: This method is simple, rapid and highly sensitive with low cost, and its accuracy, precision and stability can meet the daily test requirements. It can be applied for the determination of urinary S-PMA, t, t-MA, 8-OHdG, HA, 2-MHA, 3-MHA and 4-MHA for the occupational population exposed to benzene, toluene and xylene.
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Affiliation(s)
- H Qiao
- Beijing Institute of Occupational Medicine for Chemical Industry, Beijing Chemical Industry Group Co., Ltd., Beijing 100093, China; Beijing University of Chemical Technology, Beijing 100029, China
| | - X D Liu
- Beijing Institute of Occupational Medicine for Chemical Industry, Beijing Chemical Industry Group Co., Ltd., Beijing 100093, China
| | - X J Meng
- Beijing Institute of Occupational Medicine for Chemical Industry, Beijing Chemical Industry Group Co., Ltd., Beijing 100093, China
| | - J Li
- Beijing Institute of Occupational Medicine for Chemical Industry, Beijing Chemical Industry Group Co., Ltd., Beijing 100093, China
| | - D S Niu
- Beijing Institute of Occupational Medicine for Chemical Industry, Beijing Chemical Industry Group Co., Ltd., Beijing 100093, China
| | - X W Ding
- Beijing Institute of Occupational Medicine for Chemical Industry, Beijing Chemical Industry Group Co., Ltd., Beijing 100093, China
| | - J Nie
- Beijing University of Chemical Technology, Beijing 100029, China
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Wang T, Qiao H, Xu H, Xu D, Liu G, Yuan C, Zhao X. Identification of carotid non-hemorrhagic lipid-rich necrotic core by magnetization-prepared rapid acquisition gradient-echo imaging: Validation by contrast-enhanced T1 weighted imaging. Magn Reson Imaging 2019; 63:155-158. [PMID: 31425806 DOI: 10.1016/j.mri.2019.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 05/08/2019] [Accepted: 08/15/2019] [Indexed: 11/15/2022]
Affiliation(s)
- Tao Wang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China
| | - Huimin Xu
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Dongxiang Xu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Gaifen Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chun Yuan
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China.
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Liu XD, Qiao H, Meng XJ, Wang C, Ding XW, Niu DS, Li J. [Determination of Cortisol in Saliva by Liquid Chromatography Tandem Mass Spectrometry]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2019; 37:143-146. [PMID: 30929359 DOI: 10.3760/cma.j.issn.1001-9391.2019.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To establish a liquid chromatography tandem mass spectrometry method to determine the cortisol in saliva. Methods: Take 0.5 ml saliva sample into a 2 ml centrifuge tube, add excess sodium chloride and 1ml acetonitrile to it, then vortex for 3 min, centrifuge for 10 min at 15 000 r/min, and take 800 μl of the upper layer to another centrifuge tube. Finally, the sample was concentrated by a vacuum concentrator and brought to 200 μl with the initial mobile phase. Then, the sample was analyzed by liquid chromatography tandem mass spectrometry. The target compound was quantified by external standard curve method. Results: The linear range of the method was 0.02-5.00 ng/ml, r=0.999 9, the method limit of the detection was 0.002 ng/ml, the method limit of quantitative was 0.02 ng/ml, and the spiked recoveries were 89.60%-98.60%. The intra-assay precision was 1.90%-3.30%, and the inter-assay precision was 4.20%-9.00%; samples could be stored at -20 °C for at least 14 days. The determination of cortisol could not be interfered by other endogenous substances in the sample. Conclusion: The method is simple in pretreatment, high sensitivity, good reproducibility and good recovery, and it is suitable for the quantitative analysis of cortisol in saliva for normal and occupationally stressed populations.
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Affiliation(s)
- X D Liu
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - H Qiao
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China; Beijing University of Chemical Technology, Beiijng100029, China
| | - X J Meng
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - C Wang
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - X W Ding
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - D S Niu
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
| | - J Li
- The Beijing Prevention and Treatment of Hospital of Occupational Disease for Chemical Industry, Beijing 100093, China
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Horn L, Whisenant J, Wakelee H, Reckamp K, Qiao H, Du L, Hernandez J, Huang V, Waqar S, Patel S, Sanborn R, Shaffer T, Garg K, Holzhausen A, Harrow K, Liang C, Lim L, Li M, Lovly C. Circulating tumor (ct) DNA analysis to monitor response and resistance to ensartinib in patients (pts) with ALK+ non-small cell lung cancer (NSCLC). Ann Oncol 2019. [DOI: 10.1093/annonc/mdz063.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Lu M, Peng P, Qiao H, Cui Y, Ma L, Cui B, Cai J, Zhao X. Association between age and progression of carotid artery atherosclerosis: a serial high resolution magnetic resonance imaging study. Int J Cardiovasc Imaging 2019; 35:1287-1295. [PMID: 30739271 DOI: 10.1007/s10554-019-01538-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 01/16/2019] [Indexed: 01/15/2023]
Abstract
This study aimed to investigate the association between age and progression of carotid atherosclerotic plaques using serial high resolution magnetic resonance imaging (MRI). Symptomatic patients who had carotid atherosclerosis with 30-70% stenosis were enrolled in this study. Carotid MRI was performed at baseline and follow-up time point (≥ 6 months after baseline), respectively. The characteristics of carotid plaque progression among different age groups (> 75 years old, 60-75 years old and < 60 years old) were compared. Logistic regression was performed to relate age with carotid plaque progression. Of recruited 84 patients, 73 (mean age, 66.5 ± 11.4 years old; males, 82.2%) with 96 plaques were included in the final analysis. Compared with younger patients, older ones had significantly higher incidence of calcification in carotid plaques (> 75 years old: 91.3%, 60-75 years old: 65.7% and < 60 years old: 55.3%, p = 0.013), greater annual change of carotid wall volume (> 75 years old: 39.0 (4.3-104.6) mm3, 60-75 years old: 28.7 (- 28.0 to 73.7) mm3 and < 60 years old: 4.8 (- 27.1-31.9) mm3, p = 0.032) and maximum carotid wall area (> 75 years old: 6.1 (- 3.5 to 17.2) mm2, 60-75 years old: 2.4 (- 4.7 to 15.1) mm2 and < 60 years old: 1.4 (- 5.8 to 6.9) mm2, p = 0.046). Age (OR 1.44; 95% CI 1.10-1.89; p = 0.009) and hypertension (OR 4.61; 95% CI 1.41-15. 02; p = 0.011) were independent predictors in discriminating upper quartile of annual change of carotid wall volume after adjusting for all clinical factors. Older patients have faster progression rate in carotid plaques than younger ones and age is independently associated with carotid plaque progression. Our findings suggest that the carotid plaques of older patients need to be monitored more frequently.
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Affiliation(s)
- Mingming Lu
- Department of Radiology, PLA General Hospital, Beijing, 100853, China.,Department of Radiology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China
| | - Peng Peng
- Department of Radiology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces, Tianjin, China
| | - Huiyu Qiao
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, 100084, China
| | - Yuanyuan Cui
- Department of Radiology, PLA General Hospital, Beijing, 100853, China
| | - Lu Ma
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Bao Cui
- Department of Radiology, Chinese PLA Bethune International Peace Hospital, Shijiazhuang, China
| | - Jianming Cai
- Department of Radiology, PLA General Hospital, Beijing, 100853, China.
| | - Xihai Zhao
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, 100084, China.
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Lu M, Cui Y, Peng P, Qiao H, Cai J, Zhao X. Shape and Location of Carotid Atherosclerotic Plaque and Intraplaque Hemorrhage: A High-resolution Magnetic Resonance Imaging Study. J Atheroscler Thromb 2019; 26:720-727. [PMID: 30626781 PMCID: PMC6711842 DOI: 10.5551/jat.47449] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Aim: The present study aimed to investigate the association between shape and location of atherosclerotic plaques and intraplaque hemorrhage (IPH) in carotid arteries using magnetic resonance (MR) imaging. Methods: Overall, 114 symptomatic patients (mean age: 64.9±10.9 years; 81 males) who underwent MR imaging and had advanced carotid plaques were included in analysis. IPH presence and carotid plaque shape and location (below and above bifurcation) were evaluated. The plaque shape was defined as follows: type-I: the arc-length of plaque is greater in the upstream; type-II: the arc-length of plaque in downstream and upstream is equal; and type-III: the arc-length of plaque is greater in downstream. The plaque shape and location were compared between plaques with and without IPH and their associations with IPH were determined. Results: Of 181detectedplaques, 57 (31.5%) had IPH. Compared with plaques without IPH, those with IPH had higher incidence of the plaque shape of type-I (66.7% vs. 32.2%, P<0.001), lower incidence of plaque shape of type-III (24.6% vs. 50.0%, P=0.001), and were more likely located above carotid bifurcation (71.9% vs. 48.4%, P=0.003). The plaque shape of type-I (OR, 4.01; 95%CI, 1.36–11.83; P=0.012) and location above bifurcation (OR, 3.21; 95%CI, 1.07–9.61; P=0.037) of carotid plaques were significantly associated with IPH after adjusting for confounder factors. Conclusions: Carotid plaque shape and location are significantly associated with the occurrence of IPH. Our findings could provide new insights for the pathogenesis of IPH and vulnerably plaques.
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Affiliation(s)
- Mingming Lu
- Department of Radiology, PLA General Hospital.,Department of Radiology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces
| | | | - Peng Peng
- Department of Radiology, Pingjin Hospital, Logistics University of Chinese People's Armed Police Forces
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine
| | | | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine
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Han Y, Qiao H, Chen S, Jing J, Pan Y, Li D, Liu Y, Meng X, Wang Y, Zhao X. Intracranial artery stenosis magnetic resonance imaging aetiology and progression study: Rationale and design. Brain Behav 2018; 8:e01154. [PMID: 30456898 PMCID: PMC6305940 DOI: 10.1002/brb3.1154] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 10/01/2018] [Accepted: 10/06/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND It has been shown that intracranial artery stenosis (ICAS) plays a key role in Chinese ischemic stroke or transient ischemic attack (TIA) patients. Many vascular diseases can lead to ICAS, such as atherosclerosis, dissection, vasculitis, moyamoya disease, and reversible cerebral vasoconstriction syndrome (RCVS). In addition, progression of intracranial atherosclerotic disease (ICAD) will increase the risk of ischemic cerebrovascular events. The ICASMAP study primarily aims to determine the etiology and disease distribution of ICAS using noninvasive magnetic resonance (MR) imaging and evaluate the rate for progression of ICAD in symptomatic population. METHODS The ICASMAP study is a prospective, observational, and multicenter study by recruiting 300 subjects (18-80 years old) with recent stroke or TIA (within 2 weeks after onset of symptoms) in China. All the subjects will undergo MR imaging examination including brain and intracranial artery MR imaging at baseline. In addition, the clinical risk factors will be collected and blood biomarkers will be tested. A subgroup of more than 200 subjects who were diagnosed with ICAD according to baseline MR imaging will be followed up for 2 years. During the follow-up study, MR imaging examination will be performed at 12 and 24 months. The primary end point is presence of progression of intracranial artery atherosclerotic plaques. CONCLUSIONS The ICASMAP study investigates the etiology of ICAS and progression of ICAD in Chinese stroke patients and may help to improve the precise diagnosis and intervention of ICAS and stroke prevention.
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Affiliation(s)
- Yongjun Han
- Center for Brain Disorders Research, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China.,Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - Huiyu Qiao
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - Shuo Chen
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University, Beijing, China
| | - Yuesong Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Dongye Li
- Center for Brain Disorders Research, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China.,Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - Yang Liu
- Department of Radiology, Affiliated Hospital of Yangzhou University, Yangzhou, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University, Beijing, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan hospital, Capital Medical University, Beijing, China
| | - Xihai Zhao
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
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Tang K, Cui H, Qiao H, Fan H. PROPERTIES OF THERMOLUMINESCENT CARDS WITH HIGH SENSITIVE GR-200A LiF:Mg,Cu, P DETECTORS FOR HARSHAW AUTOMATIC READER. Radiat Prot Dosimetry 2018; 182:459-463. [PMID: 29897536 DOI: 10.1093/rpd/ncy102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Accepted: 05/28/2018] [Indexed: 06/08/2023]
Abstract
New DML TL cards with GR-200A detectors were developed. The TL sensitivity remains stable and the detectors were sealed firmly during the encapsulation process. The sensitivity, detection threshold, residual signal, reusability, dose response and Teflon capsule resistance of DML cards with two GR-200A detectors with diameter 3.6 mm and thickness 0.38 mm placed in positions 2 and 3 were evaluated. The detection thresholds were 0.61 μSv for the detector at position 2 and 1.15 μSv for the detector at position 3. The residual signals were 0.40% for the detector at position 2 and 0.57% for the detector at position 3. The 10 repeated readings of the same 10 irradiated cards were found within 1% for the two detectors on the cards. The DML cards demonstrate very high sensitivity, low background and good stability and can be used for very low dose ranges in personnel dosimetry and in environmental monitoring.
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Affiliation(s)
- K Tang
- Solid Dosimetric Detector and Method Laboratory, PO Box 1044, Ext. 202, Beijing, PR China
- State Key Laboratory of NBC Protection for Civilian, PO Box 1044, Ext. 202, Beijing, PR China
| | - H Cui
- Solid Dosimetric Detector and Method Laboratory, PO Box 1044, Ext. 202, Beijing, PR China
| | - H Qiao
- Solid Dosimetric Detector and Method Laboratory, PO Box 1044, Ext. 202, Beijing, PR China
| | - H Fan
- Solid Dosimetric Detector and Method Laboratory, PO Box 1044, Ext. 202, Beijing, PR China
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Cui Y, Qiao H, Ma L, Lu M, Yang J, Yao G, Cai J, Zhao X. Association of Age and Size of Carotid Artery Intraplaque Hemorrhage and Minor Fibrous Cap Disruption: A High Resolution Magnetic Resonance Imaging Study. J Atheroscler Thromb 2018; 25:1222-1230. [PMID: 29669957 PMCID: PMC6249358 DOI: 10.5551/jat.43679] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Aim: To investigate the association between the volumes of different aging intraplaque hemorrhage (IPH) and minor fibrous cap disruption (MFCD) in carotid arteries. Methods: Patients with cerebrovascular symptoms and carotid atherosclerotic plaques determined by ultrasound were recruited and underwent multi-contrast magnetic resonance (MR) vessel wall imaging for carotid arteries. Carotid plaques with IPH on MR imaging were included in the analysis. The age (fresh or recent) and the volume of IPH for each plaque were evaluated. Results: In total, 41 carotid plaques in 37 patients (mean age 70.2 ± 11.0 years old; 32 males) were eligible for statistical analysis. The absolute volume of fresh IPH in plaques with MFCD was significantly larger than that in plaques without MFCD (109.83 ± 75.49 mm3 vs. 30.54 ± 20.62 mm3, P = 0.002). Logistic regression showed that the absolute volume of fresh IPH was significantly associated with MFCD before (odds ratio [OR], 1.735; 95% confidence interval [CI], 1.127–2.670; P = 0.012) and after adjusting for confounding factors (OR, 1.823; 95% CI, 1.076–3.090; P = 0.026). There was no significant association between recent IPH volume and MFCD (P > 0.05). Conclusion: The volume of fresh IPH is independently associated with MFCD in carotid plaques, suggesting that integrity of fibrous cap may change with different age and size of IPH.
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Affiliation(s)
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine
| | - Lu Ma
- Department of Radiology, PLA General Hospital
| | - Mingming Lu
- Department of Radiology, PLA General Hospital
| | - Jiafei Yang
- Department of Radiology, First Affiliated Hospital of PLA General Hospital
| | - Guoen Yao
- Department of Neurology, First Affiliated Hospital of PLA General Hospital
| | - Jianming Cai
- Department of Radiology, PLA General Hospital.,Department of Radiology, First Affiliated Hospital of PLA General Hospital
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine
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Lu M, Peng P, Cui Y, Qiao H, Li D, Cai J, Zhao X. Association of Progression of Carotid Artery Wall Volume and Recurrent Transient Ischemic Attack or Stroke: A Magnetic Resonance Imaging Study. Stroke 2018; 49:614-620. [PMID: 29382804 DOI: 10.1161/strokeaha.117.019422] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Revised: 11/18/2017] [Accepted: 12/15/2017] [Indexed: 01/14/2023]
Abstract
BACKGROUND AND PURPOSE This study aimed to investigate the association between carotid plaque progression and subsequent recurrent events using magnetic resonance imaging. METHODS Sixty-three symptomatic patients with ipsilateral carotid atherosclerotic stenosis (30%-69% stenosis) determined by ultrasound underwent first and second carotid artery magnetic resonance imaging for carotid artery at baseline and ≥6 months after the first scan, respectively. All the patients had clinical follow-up after the second magnetic resonance scan for ≤5 years until the onset of recurrent transient ischemic attack or stroke. Presence/absence of carotid plaque compositional features, particularly intraplaque hemorrhage and fibrous cap rupture was identified. The annual progression of carotid wall volume between 2 magnetic resonance scans was measured. Univariate and multivariate Cox regression was used to calculate the hazard ratio and corresponding 95% confidence interval of carotid plaque features in discriminating recurrent events. Receiver-operating-characteristic-curve analysis was conducted to determine the area-under-the-curve of carotid plaque features in predicting recurrent events. RESULTS Sixty-three patients (mean age: 66.5±10.0 years old; 54 males) were eligible for final statistics analysis. During a mean follow-up duration of 55.1±13.6 months, 14.3% of patients (n=9) experienced ipsilateral recurrent transient ischemic attack/stroke. The annual progression of carotid wall volume was significantly associated with recurrent events before (hazard ratio, 1.14 per 10 mm3; 95% confidence interval, 1.02-1.27; P=0.019) and after (hazard ratio, 1.19 per 10 mm3; 95% confidence interval, 1.03-1.37; P=0.022) adjusted for confounding factors. In discriminating the recurrence of transient ischemia attack/stroke, receiver-operator curve analysis indicated that combined with annual progression of wall volume, there was a significant incremental improvement in the area-under-the-curve of intraplaque hemorrhage (area-under-the-curve: 0.69-0.81) and fibrous cap rupture (area-under-the-curve: 0.73-0.84). CONCLUSIONS The annual progression of carotid wall volume is independently associated with recurrent ischemic cerebrovascular events, and this measurement has added value for intraplaque hemorrhage and fibrous cap rupture in predicting future events.
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Affiliation(s)
- Mingming Lu
- From the Department of Radiology, PLA General Hospital, Beijing, China (M.L., Y.C., J.C.); Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China (H.Q., D.L., X.Z.); and Department of Radiology, The Affiliated Hospital of Logistics University of Chinese People's Armed Police Force, Tianjin, China (M.L., P.P.)
| | - Peng Peng
- From the Department of Radiology, PLA General Hospital, Beijing, China (M.L., Y.C., J.C.); Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China (H.Q., D.L., X.Z.); and Department of Radiology, The Affiliated Hospital of Logistics University of Chinese People's Armed Police Force, Tianjin, China (M.L., P.P.)
| | - Yuanyuan Cui
- From the Department of Radiology, PLA General Hospital, Beijing, China (M.L., Y.C., J.C.); Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China (H.Q., D.L., X.Z.); and Department of Radiology, The Affiliated Hospital of Logistics University of Chinese People's Armed Police Force, Tianjin, China (M.L., P.P.)
| | - Huiyu Qiao
- From the Department of Radiology, PLA General Hospital, Beijing, China (M.L., Y.C., J.C.); Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China (H.Q., D.L., X.Z.); and Department of Radiology, The Affiliated Hospital of Logistics University of Chinese People's Armed Police Force, Tianjin, China (M.L., P.P.)
| | - Dongye Li
- From the Department of Radiology, PLA General Hospital, Beijing, China (M.L., Y.C., J.C.); Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China (H.Q., D.L., X.Z.); and Department of Radiology, The Affiliated Hospital of Logistics University of Chinese People's Armed Police Force, Tianjin, China (M.L., P.P.)
| | - Jianming Cai
- From the Department of Radiology, PLA General Hospital, Beijing, China (M.L., Y.C., J.C.); Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China (H.Q., D.L., X.Z.); and Department of Radiology, The Affiliated Hospital of Logistics University of Chinese People's Armed Police Force, Tianjin, China (M.L., P.P.).
| | - Xihai Zhao
- From the Department of Radiology, PLA General Hospital, Beijing, China (M.L., Y.C., J.C.); Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, China (H.Q., D.L., X.Z.); and Department of Radiology, The Affiliated Hospital of Logistics University of Chinese People's Armed Police Force, Tianjin, China (M.L., P.P.).
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Li D, Zhao H, Chen X, Chen S, Qiao H, He L, Li R, Xu J, Yuan C, Zhao X. Identification of intraplaque haemorrhage in carotid artery by simultaneous non-contrast angiography and intraPlaque haemorrhage (SNAP) imaging: a magnetic resonance vessel wall imaging study. Eur Radiol 2017; 28:1681-1686. [PMID: 29098439 DOI: 10.1007/s00330-017-5096-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 09/05/2017] [Accepted: 09/25/2017] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To investigate the usefulness of Simultaneous Non-contrast Angiography and intraPlaque haemorrhage (SNAP) imaging in characterising carotid intraplaque haemorrhage (IPH) compared with magnetisation-prepared rapid acquisition gradient-echo (MP-RAGE) sequence. METHODS Fifty-four symptomatic patients (mean age: 63.1 ± 5.7 years, 38 males) with carotid atherosclerosis were recruited and underwent carotid MR imaging. The presence and area of IPH on SNAP and MP-RAGE images were determined. The agreement in identifying IPH and its area between SNAP and MP-RAGE was analysed. RESULTS Of 1368 slices with acceptable image quality in 54 patients, 13% and 22.6% were found to have IPH on MP-RAGE and SNAP images, respectively. There was moderate agreement between MP-RAGE and SNAP sequences in identifying IPH (κ = 0.511, p = 0.029). The area of IPH on SNAP images was significantly larger than that on MP-RAGE images (17.9 ± 18.2 mm2 vs. 9.2 ± 10.5 mm2, p < 0.001). For IPHs detected by SNAP imaging, the area of IPHs also detected by the MP-RAGE sequence was significantly larger than that of IPHs not detected by the MP-RAGE sequence (17.9 ± 19.2 mm2 vs. 6.4 ± 6.2 mm2, p < 0.001). CONCLUSION Compared with the MP-RAGE sequence, SNAP imaging detects more IPHs, particularly for smaller IPHs, suggesting that SNAP imaging might be a more sensitive tool for identification of carotid haemorrhagic plaques. KEY POINTS • Moderate agreement was found between SNAP and MP-RAGE in identification of IPH • SNAP imaging might be a more sensitive tool to detect carotid IPHs • Compared with the MP-RAGE sequence, SNAP imaging can detect carotid IPHs with smaller size • SNAP imaging can help clinicians to optimise the treatment strategy.
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Affiliation(s)
- Dongye Li
- Centre for Brain Disorders Research, Capital Medical University and Beijing Institute for Brain Disorders, Beijing, China
| | - Huilin Zhao
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyi Chen
- Centre for Brain Disorders Research, Capital Medical University and Beijing Institute for Brain Disorders, Beijing, China
- Centre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China
| | - Shuo Chen
- Centre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China
| | - Huiyu Qiao
- Centre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China
| | - Le He
- Centre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China
| | - Rui Li
- Centre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China
| | - Jianrong Xu
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chun Yuan
- Centre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Xihai Zhao
- Centre for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Beijing, Haidian District, 100084, China.
- Centre of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
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Bao CD, Sun B, Lan L, Qiao H, Zhang DF, Liu XY, Wang J, Zhao YS. [Interaction between family history of diabetes and hyperlipidemia on risk of diabetes in population with normotension in Harbin: a cross-sectional study]. Zhonghua Liu Xing Bing Xue Za Zhi 2017. [PMID: 28651396 DOI: 10.3760/cma.j.issn.0254-6450.2017.05.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the interaction between family history of diabetes and hyperlipidemia on the risk of diabetes in population with normotension. Methods: A multistage stratified probability random sampling was conducted to select a representative sample of urban residents aged 20-74 years in Harbin. A total of 376 diabetes patients with normotension and 3 692 residents with normal blood pressure, normal fasting glucose, and normal 2 hours glucose from OGTT were surveyed. The interaction was evaluated by using crossover analysis and additive model. Results: Multivariate logistic regression analysis indicated that there was a possible additive interaction between family history of diabetes and hyperlipidemia on the risk of diabetes. The relative excess risk due to the interaction, the attributable proportion due to the interaction, and the synergy index were 1.97 (95%CI:-0.32-4.26), 0.30 (95%CI: 0.03-0.57), and 1.54 (95%CI: 0.96-2.47), respectively. There were significant combination effects between family history of diabetes and high both total cholesterol and triglyceride, isolated high total cholesterol, and isolated high triglyceride levels; the ORs were 10.55 (95%CI: 5.62-19.80), 7.81 (95%CI: 3.65-16.71) and 5.13 (95%CI: 3.22-8.16), respectively. Conclusion: There might be synergistic effect between family history of diabetes and hyperlipidemia on the risk of diabetes in population with normotension.
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Affiliation(s)
- C D Bao
- Public Health College, Harbin Medical University, Harbin 150081, China
| | - B Sun
- Department of Chronic Non-communicable Disease Control and Prevention, Harbin Municipal Center for Disease Control and Prevention, Harbin 150056, China
| | - L Lan
- Department of Chronic Non-communicable Disease Control and Prevention, Harbin Municipal Center for Disease Control and Prevention, Harbin 150056, China
| | - H Qiao
- Department of Endocrinology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - D F Zhang
- Department of Chronic Non-communicable Disease Control and Prevention, Harbin Municipal Center for Disease Control and Prevention, Harbin 150056, China
| | - X Y Liu
- Public Health College, Harbin Medical University, Harbin 150081, China
| | - J Wang
- Department of Chronic Non-communicable Disease Control and Prevention, Harbin Municipal Center for Disease Control and Prevention, Harbin 150056, China
| | - Y S Zhao
- Public Health College, Harbin Medical University, Harbin 150081, China
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Hu J, Lyu WQ, Guo YL, Wen HW, Qiao H, Qu Y. [Perioperational management of gynecological cancer patients with severe internal medical complications: a serial of 37 clinical cases]. Zhonghua Fu Chan Ke Za Zhi 2017; 51:805-809. [PMID: 27916062 DOI: 10.3760/cma.j.issn.0529-567x.2016.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the effectiveness and safety of perioperational management of gynecological cancer patients with severe internal medical complications. Methods: We collected 37 cases of gynecological cancer patients with severe internal medical complications who were hospitalized in Peking University First Hospital from Jan. 2010 to Nov. 2014. All of the cases were planned to move to ICU right after operation based on the preoperational assessment of anesthetist and physician. The median age was 69.4 years, and 25 cases (68%,25/37) of them were over 70 years old. The pathological types, preoperational complications, preoperational preparation, process of anesthesia and surgery, post-operational short-term morbidity were retrospectively analyzed. Results: (1) Pathological type: among 37 cases of gynecological cancer patients, 16 cases of endometrial cancer, 12 cases of ovarian cancer, 5 cases of vulvar cancer, 3 cases of uterine sarcoma and 1 case of fallopian cancer. (2) Preoperational complication: all the patients had more than 2 types of internal complications, 34 cases (92%, 34/37)of them had no less than 3 types of internal complications. The preoperational complications mainly included 25 cases of hypertension, 13 cases of coronary heart disease and 5 cases of arrhythmia, 5 cases of history of cerebral infarction or hemorrhage, 19 cases of diabetes and 1 case of obesity, 6 cases of allergic asthma and history of pulmonary embolism. (3) Preoperational preparation: medication were taken according to internal physicians to make blood pressure lower than 140/90 mmHg(1 mmHg=0.133 kPa), fasting blood glucose lower than 8.0 mmol/L, postprandial blood glucose lower than 10.0 mmol/L and cardiac function return to a generally normal status. (4) Process of anesthesia and surgery: 37 cases completed operation successfully after preoperational anesthetic assessment and internal medication. No perioperational death was observed. (5) Post-operational morbidity: 17 cases of post-operational short-term morbidity were observed before discharge, including 9 cases of poor wound healing, 5 cases of gastro-intestinal dysfunction and 3 cases of pulmonary infection. All of them were improved or cured. Conclusion: Surgery is safe and applicable to gynecological cancer patients with severe internal medical complications on the compressive management of anesthesia assessment, perioperational internal adjustment and post-operational multi-discipline treatment.
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Affiliation(s)
- J Hu
- *Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China
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Ke Y, Dang E, Qiao H, Wang G. 013 Semaphrin4D drives CD8 + T cells skin trafficking in oral lichen planus via CXCL9 and CXCL10 upregulations in oral keratinocytes. J Invest Dermatol 2017. [DOI: 10.1016/j.jid.2017.02.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Chen X, Zhao H, Chen Z, Qiao H, Cui Y, Li D, Zhou Z, He L, Li R, Yuan C, Zhao X. Association between proximal internal carotid artery steno-occlusive disease and diffuse wall thickening in its petrous segment: a magnetic resonance vessel wall imaging study. Neuroradiology 2017; 59:485-490. [PMID: 28357461 DOI: 10.1007/s00234-017-1825-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 03/15/2017] [Indexed: 01/18/2023]
Abstract
PURPOSE Significant stenosis or occlusion in carotid arteries may lead to diffuse wall thickening (DWT) in the arterial wall of downstream. This study aimed to investigate the correlation between proximal internal carotid artery (ICA) steno-occlusive disease and DWT in ipsilateral petrous ICA. METHODS Symptomatic patients with atherosclerotic stenosis (>0%) in proximal ICA were recruited and underwent carotid MR vessel wall imaging. The 3D motion sensitized-driven equilibrium prepared rapid gradient-echo (3D-MERGE) was acquired for characterizing the wall thickness and longitudinal extent of the lesions in petrous ICA and the distance from proximal lesion to the petrous ICA. The stenosis degree in proximal ICA was measured on the time-of-flight (TOF) images. RESULTS In total, 166 carotid arteries from 125 patients (mean age 61.0 ± 10.5 years, 99 males) were eligible for final analysis and 64 showed DWT in petrous ICAs. The prevalence of severe DWT in petrous ICA was 1.4%, 5.3%, 5.9%, and 80.4% in ipsilateral proximal ICAs with stenosis category of 1%-49%, 50%-69%, 70%-99%, and total occlusion, respectively. Proximal ICA stenosis was significantly correlated with the wall thickness in petrous ICA (r = 0.767, P < 0.001). Logistic regression analysis showed that proximal ICA stenosis was independently associated with DWT in ipsilateral petrous ICA (odds ratio (OR) = 2.459, 95% confidence interval (CI) 1.896-3.189, P < 0.001]. CONCLUSION Proximal ICA steno-occlusive disease is independently associated with DWT in ipsilateral petrous ICA.
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Affiliation(s)
- Xiaoyi Chen
- Center for Brain Disorders Research, Capital Medical University and Beijing Institute for Brain Disorders, Beijing, China.,Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Huilin Zhao
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhensen Chen
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Huiyu Qiao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Yuanyuan Cui
- Department of Radiology, PLA General Hospital, Beijing, China
| | - Dongye Li
- Center for Brain Disorders Research, Capital Medical University and Beijing Institute for Brain Disorders, Beijing, China.,Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Zechen Zhou
- Healthcare Department, Philips Research China, Beijing, China
| | - Le He
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Rui Li
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China
| | - Chun Yuan
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China.,Department of Radiology, University of Washington, Seattle, WA, USA
| | - Xihai Zhao
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University School of Medicine, Haidian District, Beijing, 100084, China. .,Center for Stroke, Beijing Institute for Brain Disorders, Beijing, China.
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Zhou C, Qiao H, He L, Yuan C, Chen H, Zhang Q, Li R, Wang W, Du F, Li C, Zhao X. Characterization of atherosclerotic disease in thoracic aorta: A 3D, multicontrast vessel wall imaging study. Eur J Radiol 2016; 85:2030-2035. [DOI: 10.1016/j.ejrad.2016.09.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 09/01/2016] [Accepted: 09/10/2016] [Indexed: 01/25/2023]
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50
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Rahman NMA, Fu HT, Sun SM, Qiao H, Jin S, Bai HK, Zhang WY, Liang GX, Gong YS, Xiong YW, Wu Y. Molecular cloning and expression pattern of oriental river prawn (Macrobrachium nipponense) nitric oxide synthase. Genet Mol Res 2016; 15:gmr8541. [PMID: 27706647 DOI: 10.4238/gmr.15038541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Nitric oxide synthase (NOS) produces nitric oxide (NO) by catalyzing the conversion of l-arginine to l-citrulline, with the concomitant oxidation of nicotinamide adenine dinucleotide phosphate. Recently, various studies have verified the importance of NOS invertebrates and invertebrates. However, the NOS gene family in the oriental river prawn Macrobrachium nipponense is poorly understood. In this study, we cloned the full-length NOS complementary DNA from M. nipponense (MnNOS) and characterized its expression pattern in different tissues and at different developmental stages. Real-time quantitative polymerase chain reaction (RT-qPCR) showed the MnNOS gene to be expressed in all investigated tissues, with the highest levels observed in the androgenic gland (P < 0.05). Our results revealed that the MnNOS gene may play a key role in M. nipponense male sexual differentiation. Moreover, RT-qPCR revealed that MnNOS mRNA expression was significantly increased in post-larvae 10 days after metamorphosis (P < 0.05). The expression of this gene in various tissues indicates that it may perform versatile biological functions in M. nipponense.
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Affiliation(s)
- N M A Rahman
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, China.,Fisheries Research Center, Animal Research Corporation of the Ministry of Animal Resources, Khartoum, Sudan
| | - H T Fu
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, China .,Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, China
| | - S M Sun
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, China
| | - H Qiao
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, China
| | - S Jin
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, China.,Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, China
| | - H K Bai
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, China
| | - W Y Zhang
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, China
| | - G X Liang
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, China
| | - Y S Gong
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, China
| | - Y W Xiong
- Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization, Ministry of Agriculture, Freshwater Fisheries Research Center, Chinese Academy of Fishery Sciences, Wuxi, China
| | - Y Wu
- Wuxi Fisheries College, Nanjing Agricultural University, Wuxi, China
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