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Dolatshahi M, Sanjari Moghaddam H, Saberi P, Mohammadi S, Aarabi MH. Central nervous system microstructural alterations in Type 1 diabetes mellitus: A systematic review of diffusion Tensor imaging studies. Diabetes Res Clin Pract 2023; 205:110645. [PMID: 37004976 DOI: 10.1016/j.diabres.2023.110645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 02/18/2023] [Accepted: 03/24/2023] [Indexed: 04/03/2023]
Abstract
AIMS Type 1 diabetes mellitus (T1DM) is a chronic childhood disease with potentially persistent CNS disruptions. In this study, we aimed to systematically review diffusion tensor imaging studies in patients with T1DM to understand the microstructural effects of this entity on individuals' brains METHODS: We performed a systematic search and reviewed the studies to include the DTI studies in individuals with T1DM. The data for the relevant studies were extracted and a qualitative synthesis was performed. RESULTS A total of 19 studies were included, most of which showed reduced FA widespread in optic radiation, corona radiate, and corpus callosum, as well as other frontal, parietal, and temporal regions in the adult population, while most of the studies in the juvenile patients showed non-significant differences or a non-persistent pattern of changes. Also, reduced AD and MD in individuals with T1DM compared to controls and non-significant differences in RD were noted in the majority of studies. Microstructural alterations were associated with clinical profile, including age, hyperglycemia, diabetic ketoacidosis and cognitive performance. CONCLUSION T1DM is associated with microstructural brain alterations including reduced FA, MD, and AD in widespread brain regions, especially in association with glycemic fluctuations and in adult age.
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Affiliation(s)
- Mahsa Dolatshahi
- NeuroImaging Laboratories, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, United States; NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
| | | | - Parastoo Saberi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Soheil Mohammadi
- NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran; School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mohammad Hadi Aarabi
- Department of Neuroscience and Padova Neuroscience Center (PNC), University of Padova, Padova, Italy.
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Kulecki M, Uruska A, Naskret D, Zozulinska-Ziolkiewicz D. Arterial Stiffness and Type 1 Diabetes: The Current State of Knowledge. Curr Diabetes Rev 2022; 18:e140621194054. [PMID: 35546329 DOI: 10.2174/1573399817666210614113827] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 03/01/2021] [Accepted: 04/20/2021] [Indexed: 11/22/2022]
Abstract
The most common cause of mortality among people with type 1 diabetes is cardiovascular diseases. Arterial stiffness allows predicting cardiovascular complications, cardiovascular mortality, and all-cause mortality. There are different ways to measure arterial stiffness; the gold standard is pulse wave velocity. Arterial stiffness is increased in people with type 1 diabetes compared to healthy controls. It increases with age and duration of type 1 diabetes. Arterial stiffness among people with type 1 diabetes positively correlates with systolic blood pressure, obesity, glycated hemoglobin, waist circumference, and waist to hip ratio. It has a negative correlation with the estimated glomerular filtration rate, high-density lipoprotein, and the absence of carotid plaques. The increased arterial stiffness could result from insulin resistance, collagen increase due to inadequate enzymatic glycation, and endothelial and autonomic dysfunction. The insulin-induced decrease in arterial stiffness is impaired in type 1 diabetes. There are not enough proofs to use pharmacotherapy in the prevention of arterial stiffness, but some of the medicaments got promising results in single studies, for example, renin-angiotensin-aldosterone system inhibitors, statins, and SGLT2 inhibitors. The main strategy of prevention of arterial stiffness progression remains glycemic control and a healthy lifestyle.
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Affiliation(s)
- Michal Kulecki
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznań, Poland
| | - Aleksandra Uruska
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznań, Poland
| | - Dariusz Naskret
- Department of Internal Medicine and Diabetology, Poznan University of Medical Sciences, Poznań, Poland
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3
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Han F, Zhai FF, Li ML, Zhou LX, Ni J, Yao M, Jin ZY, Cui LY, Zhang SY, Zhu YC. Arterial Stiffness Is Associated with White Matter Disruption and Cognitive Impairment: A Community-Based Cohort Study. J Alzheimers Dis 2021; 80:567-576. [PMID: 33579854 DOI: 10.3233/jad-201424] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Mechanisms through which arterial stiffness impacts cognitive function are crucial for devising better strategies to prevent cognitive decline. OBJECTIVE To examine the associations of arterial stiffness with white matter integrity and cognition in community dwellings, and to investigate whether white matter injury was the intermediate of the associations between arterial stiffness and cognition. METHODS This study was a cross-sectional analysis on 952 subjects (aged 55.5±9.1 years) who underwent diffusion tensor imaging and measurement of brachial-ankle pulse wave velocity (baPWV). Both linear regression and tract-based spatial statistics were used to investigate the association between baPWV and white matter integrity. The association between baPWV and global cognitive function, measured as the mini-mental state examination (MMSE) was evaluated. Mediation analysis was performed to assess the influence of white matter integrity on the association of baPWV with MMSE. RESULTS Increased baPWV was significantly associated with lower mean global fractional anisotropy (β= -0.118, p < 0.001), higher mean diffusivity (β= 0.161, p < 0.001), axial diffusivity (β= 0.160, p < 0.001), and radial diffusivity (β= 0.147, p < 0.001) after adjustment of age, sex, and hypertension, which were measures having a direct effect on arterial stiffness and white matter integrity. After adjustment of age, sex, education, apolipoprotein E ɛ4, cardiovascular risk factors, and brain atrophy, we found an association of increased baPWV with worse performance on MMSE (β= -0.093, p = 0.011). White matter disruption partially mediated the effect of baPWV on MMSE. CONCLUSION Arterial stiffness is associated with white matter disruption and cognitive decline. Reduced white matter integrity partially explained the effect of arterial stiffness on cognition.
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Affiliation(s)
- Fei Han
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Fei-Fei Zhai
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Ming-Li Li
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Li-Xin Zhou
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Jun Ni
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Ming Yao
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Zheng-Yu Jin
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Li-Ying Cui
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Shu-Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China
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Wang Y, Jiang C, Huang H, Liu N, Wang Y, Chen Z, Liang S, Wu M, Jiang Y, Wang X, Zhou T, Chen H, Zhang L, Li H. Correlation of Cerebral White Matter Lesions with Carotid Intraplaque Neovascularization assessed by Contrast-enhanced Ultrasound. J Stroke Cerebrovasc Dis 2020; 29:104928. [PMID: 32689582 DOI: 10.1016/j.jstrokecerebrovasdis.2020.104928] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 04/27/2020] [Accepted: 04/29/2020] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Carotid atherosclerotic plaque is closely associated with cerebral white matter lesions (WMLs), while intraplaque neovascularization (IPN) contributes significantly to arterial remodeling and plaque vulnerability. In this study, we aim to evaluate the correlation of carotid IPN with cerebral WMLs. METHODS The presence of IPN and WMLs were assessed by contrast-enhanced ultrasound (CEUS) and MRI respectively. IPN was evaluated utilizing semi-quantification visual grading scale and WMLs was divided according to Fazekas grading scale. We investigated the baseline data, Fazekas grades, and IPN grades among 269 participants. We explored the influences of each variable on Fazekas grades using ordinal logistic regression and evaluated the relationship between IPN grades and WMLs Fazekas grades. RESULTS Increased age (OR: 1.06, P<0.001), hypertension (OR: 2.17, P=0.002), cerebral infarction (OR: 1.74, P=0.046), and elevated carotid IPN grading were significantly associated with aggravated Fazekas grades (grade 2 or 3). To be specific, people having grade 3, 2, and 1 carotid IPN were 25.84 (P<0.001), 10.64 (P<0.001), and 5.96 (P=0.010) times as likely to have elevated Fazekas grades compared with those who having grade 0 carotid IPN. CONCLUSION Increased carotid IPN is independently correlated with aggravated cerebral WMLs.
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Affiliation(s)
- Yuxuan Wang
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; First Clinical Medical School, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; Key Laboratory of Acupuncture and Medicine Research of Ministry of Education, Nanjing University of Chinese Medicine, Nanjing, China.
| | - Chao Jiang
- Department of Public Health, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Hui Huang
- Department of Ultrasound, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Niu Liu
- Department of Ultrasound, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yi Wang
- Department of Neurosurgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Zhaoyao Chen
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Sen Liang
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Minghua Wu
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yajun Jiang
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Xiaoxiao Wang
- GCP Center, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Tingting Zhou
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; First Clinical Medical School, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Hu Chen
- Department of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Lin Zhang
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; First Clinical Medical School, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
| | - Hui Li
- Department of Neurology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; First Clinical Medical School, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
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Wei J, Palta P, Meyer ML, Kucharska-Newton A, Pence BW, Aiello AE, Power MC, Walker KA, Sharrett AR, Tanaka H, Jack CR, Mosley TH, Reid RI, Reyes DA, Heiss G. Aortic Stiffness and White Matter Microstructural Integrity Assessed by Diffusion Tensor Imaging: The ARIC-NCS. J Am Heart Assoc 2020; 9:e014868. [PMID: 32157957 PMCID: PMC7335527 DOI: 10.1161/jaha.119.014868] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Background Changes in white matter microstructural integrity are detectable before appearance of white matter lesions on magnetic resonance imaging as a manifestation of cerebral small‐vessel disease. The information relating poor white matter microstructural integrity to aortic stiffness, a hallmark of aging, is limited. We aimed to examine the association between aortic stiffness and white matter microstructural integrity among older adults. Methods and Results We conducted a cross‐sectional study to examine the association between aortic stiffness and white matter microstructural integrity among 1484 men and women (mean age, 76 years) at the 2011 to 2013 examination of the ARIC‐NCS (Atherosclerosis Risk in Communities Neurocognitive Study). Aortic stiffness was measured as carotid‐femoral pulse wave velocity. Cerebral white matter microstructural integrity was measured as fractional anisotropy and mean diffusivity using diffusion tensor imaging. Multivariable linear regression was used to examine the associations of carotid‐femoral pulse wave velocity with fractional anisotropy and mean diffusivity of the overall cerebrum and at regions of interest. Each 1‐m/s higher carotid‐femoral pulse wave velocity was associated with lower overall fractional anisotropy (β=−0.03; 95% CI, −0.05 to −0.02) and higher overall mean diffusivity (β=0.03; 95% CI, 0.02–0.04). High carotid‐femoral pulse wave velocity (upper 25th percentile) was associated with lower fractional anisotropy (β=−0.40; 95% CI, −0.61 to −0.20) and higher overall mean diffusivity (β=0.27; 95% CI, 0.10–0.43). Similar associations were observed at individual regions of interest. Conclusions High aortic stiffness is associated with low cerebral white matter microstructural integrity among older adults. Aortic stiffness may serve as a target for the prevention of poor cerebral white matter microstructural integrity.
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Affiliation(s)
- Jingkai Wei
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC
| | - Priya Palta
- School of Medicine Columbia University New York NY.,Department of Epidemiology Mailman School of Public Health Columbia University New York NY
| | - Michelle L Meyer
- Department of Emergency Medicine School of Medicine University of North Carolina at Chapel Hill Chapel Hill NC
| | - Anna Kucharska-Newton
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC.,Department of Epidemiology College of Public Health University of Kentucky Lexington KY
| | - Brian W Pence
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC
| | - Allison E Aiello
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC
| | - Melinda C Power
- Department of Epidemiology and Biostatistics Milken Institute School of Public Health Washington DC
| | - Keenan A Walker
- Department of Neurology Johns Hopkins University Baltimore MD
| | - A Richey Sharrett
- Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD
| | - Hirofumi Tanaka
- Department of Kinesiology and Health Education University of Texas at Austin TX
| | | | | | - Robert I Reid
- Department of Information Technology Mayo Clinic Rochester MN
| | | | - Gerardo Heiss
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC
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Pasha EP, Birdsill AC, Oleson S, Tanaka H, Haley AP. Associations of carotid arterial compliance and white matter diffusion metrics during midlife: modulation by sex. Neurobiol Aging 2018. [PMID: 29533790 DOI: 10.1016/j.neurobiolaging.2018.02.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Sex differences in cerebral white matter (WM) aging have been debated extensively over the past 2 decades without unequivocal resolution. We aimed to determine if the effects of age and arterial stiffness on WM microstructure differ between sexes. Artery elasticity via carotid artery compliance (CAC) and WM diffusion metrics via diffusion tensor image-derived fractional anisotropy (FA) and mean diffusivity (MD) were measured in 155 (87 females) middle-aged (40-62 years) adults. Males demonstrated poorer water diffusion metrics in WM than women in the corpus callosum body, cingulum, and cingulum (hippocampal). Age and CAC had greater effects on WM water diffusion in males than females in midlife independent of education and cardiovascular risk factors. Sex-moderated age (cingulum FA, cingulum [hippocampal] MD, and uncinate MD, all p < 0.05) and CAC (cingulum FA, p < 0.05) related reductions in regional WM diffusion metrics. CAC mediated age-related associations in regional WM diffusion metrics (cingulum FA, cingulum MD, superior corona radiata MD, and uncinate MD, all p < 0.05) in males but not in females. Age and CAC were associated with WM diffusion metrics independent of cardiovascular risk factors. These associations appear to be stronger in males than in females.
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Affiliation(s)
- Evan P Pasha
- Cardiovascular Aging Research Laboratory, Department of Kinesiology and Health Education.
| | - Alex C Birdsill
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Stephanie Oleson
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Hirofumi Tanaka
- Cardiovascular Aging Research Laboratory, Department of Kinesiology and Health Education
| | - Andreana P Haley
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA; Imaging Research Center, The University of Texas at Austin, Austin, TX, USA
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de Roos A, van der Grond J, Mitchell G, Westenberg J. Magnetic Resonance Imaging of Cardiovascular Function and the Brain: Is Dementia a Cardiovascular-Driven Disease? Circulation 2017; 135:2178-2195. [PMID: 28559496 DOI: 10.1161/circulationaha.116.021978] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The proximal aorta acts as a coupling device between heart and brain perfusion, modulating the amount of pressure and flow pulsatility transmitted into the cerebral microcirculation. Stiffening of the proximal aorta is strongly associated with age and hypertension. The detrimental effects of aortic stiffening may result in brain damage as well as heart failure. The resulting cerebral small vessel disease and heart failure may contribute to early cognitive decline and (vascular) dementia. This pathophysiological sequence of events underscores the role of cardiovascular disease as a contributory mechanism in causing cognitive decline and dementia and potentially may provide a starting point for prevention and treatment. Magnetic resonance imaging is well suited to assess the function of the proximal aorta and the left ventricle (eg, aortic arch pulse wave velocity and distensibility) as well as the various early and late manifestations of cerebral small vessel disease (eg, microbleeds and white matter hyperintensities in strategically important regions of the brain). Specialized magnetic resonance imaging techniques are explored for diagnosing preclinical changes in white matter integrity or brain microvascular pulsatility.
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Affiliation(s)
- Albert de Roos
- From Leiden University Medical Center, Department of Radiology, The Netherlands (A.d.R., J.v.d.G., J.W.); and Cardiovascular Engineering, Inc, Norwood, MA (G.M.).
| | - Jeroen van der Grond
- From Leiden University Medical Center, Department of Radiology, The Netherlands (A.d.R., J.v.d.G., J.W.); and Cardiovascular Engineering, Inc, Norwood, MA (G.M.)
| | - Gary Mitchell
- From Leiden University Medical Center, Department of Radiology, The Netherlands (A.d.R., J.v.d.G., J.W.); and Cardiovascular Engineering, Inc, Norwood, MA (G.M.)
| | - Jos Westenberg
- From Leiden University Medical Center, Department of Radiology, The Netherlands (A.d.R., J.v.d.G., J.W.); and Cardiovascular Engineering, Inc, Norwood, MA (G.M.)
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van Engelen A, Silva Vieira M, Rafiq I, Cecelja M, Schneider T, de Bliek H, Figueroa CA, Hussain T, Botnar RM, Alastruey J. Aortic length measurements for pulse wave velocity calculation: manual 2D vs automated 3D centreline extraction. J Cardiovasc Magn Reson 2017; 19:32. [PMID: 28270208 PMCID: PMC5341448 DOI: 10.1186/s12968-017-0341-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Accepted: 02/16/2017] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Pulse wave velocity (PWV) is a biomarker for the intrinsic stiffness of the aortic wall, and has been shown to be predictive for cardiovascular events. It can be assessed using cardiovascular magnetic resonance (CMR) from the delay between phase-contrast flow waveforms at two or more locations in the aorta, and the distance on CMR images between those locations. This study aimed to investigate the impact of different distance measurement methods on PWV. We present and evaluate an algorithm for automated centreline tracking in 3D images, and compare PWV calculations using distances derived from 3D images to those obtained from a conventional 2D oblique-sagittal image of the aorta. METHODS We included 35 patients from a twin cohort, and 20 post-coarctation repair patients. Phase-contrast flow was acquired in the ascending, descending and diaphragmatic aorta. A 3D centreline tracking algorithm is presented and evaluated on a subset of 30 subjects, on three CMR sequences: balanced steady-state free precession (SSFP), black-blood double inversion recovery turbo spin echo, and contrast-enhanced CMR angiography. Aortic lengths are subsequently compared between measurements from a 2D oblique-sagittal plane, and a 3D geometry. RESULTS The error in length of automated 3D centreline tracking compared with manual annotations ranged from 2.4 [1.8-4.3] mm (mean [IQR], black-blood) to 6.4 [4.7-8.9] mm (SSFP). The impact on PWV was below 0.5m/s (<5%). Differences between 2D and 3D centreline length were significant for the majority of our experiments (p < 0.05). Individual differences in PWV were larger than 0.5m/s in 15% of all cases (thoracic aorta) and 37% when studying the aortic arch only. Finally, the difference between end-diastolic and end-systolic 2D centreline lengths was statistically significant (p < 0.01), but resulted in small differences in PWV (0.08 [0.04 - 0.10]m/s). CONCLUSIONS Automatic aortic centreline tracking in three commonly used CMR sequences is possible with good accuracy. The 3D length obtained from such sequences can differ considerably from lengths obtained from a 2D oblique-sagittal plane, depending on aortic curvature, adequate planning of the oblique-sagittal plane, and patient motion between acquisitions. For accurate PWV measurements we recommend using 3D centrelines.
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Affiliation(s)
- Arna van Engelen
- Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King’s College London, St Thomas’ Hospital, 4th floor Lambeth Wing, Westminster Bridge Road, London, SE17EH UK
| | - Miguel Silva Vieira
- Department of Cardiovascular Imaging, Division of Imaging Sciences and Biomedical Engineering, King’s College London, St Thomas’ Hospital, 4th floor Lambeth Wing, Westminster Bridge Road, London, SE17EH UK
| | - Isma Rafiq
- Department of Cardiovascular Imaging, Division of Imaging Sciences and Biomedical Engineering, King’s College London, St Thomas’ Hospital, 4th floor Lambeth Wing, Westminster Bridge Road, London, SE17EH UK
| | - Marina Cecelja
- Department of Clinical Pharmacology, St Thomas’ Hospital, Westminster Bridge Road, London, SE17EH UK
| | | | | | - C. Alberto Figueroa
- Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King’s College London, St Thomas’ Hospital, 4th floor Lambeth Wing, Westminster Bridge Road, London, SE17EH UK
- Department of Bioengineering and Surgery, University of Michigan, Ann Arbor, MI USA
| | - Tarique Hussain
- Department of Cardiovascular Imaging, Division of Imaging Sciences and Biomedical Engineering, King’s College London, St Thomas’ Hospital, 4th floor Lambeth Wing, Westminster Bridge Road, London, SE17EH UK
- Department of Pediatrics, Pediatric Cardiology, UT Southwestern Medical Center, Dallas, USA
| | - Rene M. Botnar
- Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King’s College London, St Thomas’ Hospital, 4th floor Lambeth Wing, Westminster Bridge Road, London, SE17EH UK
- Pontificia Universidad Católica de Chile, Escuela de Ingeniería, Santiago, Chile
| | - Jordi Alastruey
- Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King’s College London, St Thomas’ Hospital, 4th floor Lambeth Wing, Westminster Bridge Road, London, SE17EH UK
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9
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Sala M, van den Berg-Huysmans A, van der Grond J, Huisman M, Brandts A, Westenberg JJ, de Roos A. Aortic Arch Stiffness Is Associated With Incipient Brain Injury in Patients With Hypertension. Am J Hypertens 2016; 29:705-12. [PMID: 26404903 DOI: 10.1093/ajh/hpv161] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Accepted: 08/27/2015] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND It has been shown that microstructural brain tissue damage can be detected in hypertension patients, while the underlying mechanisms are not fully understood. We aim to explore the association between diffusion tensor imaging (DTI) measures of brain injury and aortic arch pulse wave velocity (PWV) in hypertensive patients without clinically manifest cerebrovascular disease. METHODS Sixty-six hypertension patients (30 men, mean age 46±14 years) were prospectively included. Aortic arch PWV was assessed using velocity-encoded magnetic resonance imaging (VE-MRI). Brain tissue integrity was assessed by using DTI. Multivariable linear regression analysis was performed to assess the association between aortic arch PWV and fractional anisotropy (FA), axial diffusivity (AxD), and radial diffusivity (RD). RESULTS Increased aortic arch PWV was associated with decreased white matter FA (β = -0.30, P = 0.018), increased gray matter AxD (β = 0.28, P = 0.016), and increased gray and white matter RD (β = 0.30, P = 0.008 and β = 0.35, P = 0.003, respectively). These effects were independent of age, sex, body mass index, smoking, and white matter hyperintensity (WMH) volume. CONCLUSIONS Aortic arch stiffness relates to incipient brain injury before overt brain abnormalities may become apparent in patients with hypertension.
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Affiliation(s)
- Michiel Sala
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands;
| | | | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Menno Huisman
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands
| | - Anne Brandts
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jos J Westenberg
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Albert de Roos
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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