| 11. |
- Wenning, Gregor K., et al.
(författare)
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The natural history of multiple system atrophy: a prospective European cohort study
- 2013
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Ingår i: Lancet Neurology. - 1474-4465. ; 12:3, s. 264-274
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Tidskriftsartikel (refereegranskat)abstract
- Background Multiple system atrophy (MSA) is a fatal and still poorly understood degenerative movement disorder that is characterised by autonomic failure, cerebellar ataxia, and parkinsonism in various combinations. Here we present the final analysis of a prospective multicentre study by the European MSA Study Group to investigate the natural history of MSA. Methods Patients with a clinical diagnosis of MSA were recruited and followed up clinically for 2 years. Vital status was ascertained 2 years after study completion. Disease progression was assessed using the unified MSA rating scale (UMSARS), a disease-specific questionnaire that enables the semiquantitative rating of autonomic and motor impairment in patients with MSA. Additional rating methods were applied to grade global disease severity, autonomic symptoms, and quality of life. Survival was calculated using a Kaplan-Meier analysis and predictors were identified in a Cox regression model. Group differences were analysed by parametric tests and non-parametric tests as appropriate. Sample size estimates were calculated using a paired two-group t test. Findings 141 patients with moderately severe disease fulfilled the consensus criteria for MSA. Mean age at symptom onset was 56.2 (SD 8.4) years. Median survival from symptom onset as determined by Kaplan-Meier analysis was 9.8 years (95% CI 8.1-11.4). The parkinsonian variant of MSA (hazard ratio [HR] 2.08,95% CI 1.09-3.97; p=0.026) and incomplete bladder emptying (HR 2.10,1.02-4.30; p=0.044) predicted shorter survival. 24-month progression rates of UMSARS activities of daily living, motor examination, and total scores were 49% (9.4 [SD 5.9]), 74% (12.9 [8.5]), and 57% (21.9 [11.9]), respectively, relative to baseline scores. Autonomic symptom scores progressed throughout the follow-up. Shorter symptom duration at baseline (OR 0.68, 0.5-0.9; p=0.006) and absent levodopa response (OR 3.4, 1.1-10.2; p=0.03) predicted rapid UMSARS progression. Sample size estimation showed that an interventional trial with 258 patients (129 per group) would be able to detect a 30% effect size in 1-year UMSARS motor examination decline rates at 80% power. Interpretation Our prospective dataset provides new insights into the evolution of MSA based on a follow-up period that exceeds that of previous studies. It also represents a useful resource for patient counselling and planning of multicentre trials.
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| 12. |
- Auer, Martin, et al.
(författare)
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Automatic Displacement and Strain measuring in the Aorta from dynamic electrocardiographically-gated Computed Tomographic Angiography
- 2010
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Konferensbidrag (refereegranskat)abstract
- Introduction Image modalities like Duplex Ultrasound, Transesophageal Echocardiography, Intravascular Ultrasound, Computed Tomography and Magnetic Resonance provide vascular interventionists and surgeons with useful diagnostic information for treatment planning. Recent developments in cross-sectional imaging, including multi-modality image fusion and new contrast agents have resulted in improved spatial resolution. Specifically, dynamic Electrocardiographically-Gated Computed Tomographic Angiography (ECG-gated CTA) provides valuable information regarding motion and deformation of the normal and diseased aorta during the cardiac cycle. Extracting and presenting (visualization) of accurate quantitative information from the recorded image data, however remains a challenging task of image post processing. Method The algorithm proposed within this paper processes ECG-gated CTA data (here goes the scanner model and manufacturer) in DICOM (digital imaging and communication in medicine) format, within which the user manually defines an Eulerian Region of Interest (ROI). 2D deformable (active) contour models are used to pre-segment the luminal surfaces of the selected vessels at an arbitrary time point during the cardiac cycle. A tessellation algorithm is used to define the initial configuration of a 3D deformable (active) contour model, which in turn is used for the final segmentation of the luminal surfaces continuously during the cardiac cycle. Specifically, Finite Element (FE) formulations [1] for frames and shells, as known from structural mechanics, are used to define the deformable contour modes. This allows a direct mechanical interpretation of the applied set of reconstruction parameters and leads to an efficient FE implementation of the models [2]; parallel processor architecture is used to solve the global set of non-linear FE equations. Finally displacement and strain measures are derived from the dynamic segmentations and color coded plots are used to visualize them. Results and Conclusions The clinical relevance of dynamic imaging has not been fully exploited and accurate and fast image processing tools are critical to extract valuable information from ECG-gated CTA data. Such information is not only of direct clinical relevance but also critical to process our current understanding regarding normal and pathological aortic motions and deformations. The image processing concept proposed in this paper leads to efficient and clinically applicable software that facilitates an analysis of the entire aorta on a standard Personal Computer within a few minutes. Deformable (active) contour models are known to be more accurate compared to threshold based segmentation concepts [3] and the accuracy of the present approach is in the range of the in-plane image resolution. Apart from direct diagnostic information the extracted geometrical data could also be used (once enriched by accurate pressure measurements) for none invasive (minimal invasive) estimation of biomechanical aortic tissue properties. References [1] O. C. Zienkiewicz and R. L. Taylor, vol.1,2, 5th ed. Oxford: Butterworth Heinemann, 2000. [2] M. Auer and T. C. Gasser, IEEE T. Med. Imaging, 2010 (in press). [3] M. Sonka and J. M. Fitzpatrick, editors., Bellingham: Spie press, 2000
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| 13. |
- Biasetti, Jacopo, et al.
(författare)
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A Blood Flow based model for Platelet Activation in Abdominal Aortic Aneurisms
- 2010
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Konferensbidrag (refereegranskat)abstract
- Introduction Thrombus formation is the physiological response to vascular injury, it prevents loss of blood and permits wound healing, however, it is also associated with pathological conditions like hypoxia, anoxia and infarction [1]. Consequently, thrombus development must be carefully modulated to avoid uncontrolled growth, which in turn could lead to organ malfunctions. Specifically, an Intra-Luminal Thrombus (ILT) is found in almost all larger (clinically relevant) Abdominal Aortic Aneurysms (AAAs) and multiple biochemical [2] and biomechanical [3] implications on the underlying wall tissue have been reported. Despite the dominant role played by the ILT in AAA disease little is known regarding its development, and hence, the present study investigates ILT formation with particular emphasis on platelet activation triggered by biomechanical and biochemical field variables. Method The proposed model assumes that platelet activation is defined by a single field variable representing the accumulation of mechanical [4] and chemical [5] factors as the platelet moves along its path line. Platelet activation is given as soon asovercomes a certain threshold thought to be a constitutive property of blood. Specifically, the rate of the activation variable is determined by the maximum shear stress and the local concentrations of agonists and antagonists. To implement the model the fluid mechanical problem was solved in (COMSOL, COMSOL AB) and a particle tracking analysis (MATLAB, The MathWorks) was applied as a post processing step. The flow in a circular tube and the Backward Facing Step (BFS) problem under varying initial conditions were used for a basic investigation of the model and to relate its predictions to available data in the literature. Finally, platelet activation in patient specific AAAs was predicted and related to ILT development, which was estimated from Computer Tomography-Angiography (CT-A) data recorded from patient follow-up studies. Results and Conclusions The platelet activation variable is complex distributed (highly heterogeneous) in the flow field, where, specifically, at the boundary of vortexes [6] and in the boundary layer of the non- endothelialized wall highest values were predicted. Continuous release of antagonists from the endothelialized wall lowers in its vicinity, and hence, despite the high shear stress platelet activation is prevented. The proposed model links biomechanical and biochemical mechanisms of platelet activation and is able to predict the onset of thrombus formation of the BFS problem. The model is also able to predict some features of ILT development in the AAA, however, the change in luminal geometry is a cumulative effect of ILT growth, wall growth and their mechanical interactions, and hence, data recorded form patient follow-up studies needs to be analyzed carefully when validating the present model. References [1] J. D. Humphrey, Springer-Verlag, New York, 2002. [2] M. Kazi, et. al. J. Vasc. Surg., 38:1283-1292, 2003. [3] W. R. Mower et. al., J. Vasc. Surg., 33:602-608, 1997. [4] J. D. Hellums, Ann. Biomed. Eng., 22: 445-455, 1994. [5] B. Alberts et. al. Molecular Biology of the cell, 2002. [6] J. Biasetti et. al. Ann. Biomed. Eng., 38: 380–390 2010.
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| 14. |
- Biasetti, Jacopo, et al.
(författare)
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A Fluid-chemical model of thrombus formation
- 2011
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Ingår i: CMBE2011.
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Konferensbidrag (refereegranskat)abstract
- Our understanding of the genesis and evolution of Abdominal Aortic Aneurysms (AAAs), withparticular emphasis on Intra-Luminal Thrombus’ evolution, may be improved by studying thecomplex interplay between fluid-dynamics and biochemistry. To investigate the evolution of prothromboticchemicals inside the blood flow, in particular thrombin (factor IIa), a fluido-chemicalmodel has been developed. To this end a series of convection-diffusion-reaction (CDR) equationsdescribing the tissue factor pathway to thrombin have been solved on top of the biofluiddynamics problem. The proposed model integrates biochemistry and fluids dynamics, and hence,supports a comprehensive understanding of how ILT in AAAs may develop.
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| 15. |
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| 16. |
- Erhart, P., et al.
(författare)
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Finite Element Analysis in Asymptomatic, Symptomatic, and Ruptured Abdominal Aortic Aneurysms : In Search of New Rupture Risk Predictors
- 2015
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Ingår i: European Journal of Vascular and Endovascular Surgery. - : Elsevier BV. - 1078-5884 .- 1532-2165. ; 49:3, s. 239-245
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: To compare biomechanical rupture risk parameters of asymptomatic, symptomatic and ruptured abdominal aortic aneurysms (AAA) using finite element analysis (FEA). Study design: Retrospective biomechanical single center analysis of asymptomatic, symptomatic, and ruptured AAAs. Comparison of biomechanical parameters from FEA. Materials and methods: From 2011 to 2013 computed tomography angiography (CTA) data from 30 asymptomatic, 15 symptomatic, and 15 ruptured AAAs were collected consecutively. FEA was performed according to the successive steps of AAA vessel reconstruction, segmentation and finite element computation. Biomechanical parameters Peak Wall Rupture Risk Index (PWRI), Peak Wall Stress (PWS), and Rupture Risk Equivalent Diameter (RRED) were compared among the three subgroups. Results: PWRI differentiated between asymptomatic and symptomatic AAAs (p < .0004) better than PWS (p < .1453). PWRI-dependent RRED was higher in the symptomatic subgroup compared with the asymptomatic subgroup (p < .0004). Maximum AAA external diameters were comparable between the two groups (p < .1355). Ruptured AAAs showed the highest values for external diameter, total intraluminal thrombus volume, PWS, RRED, and PWRI compared with asymptomatic and symptomatic AAAs. In contrast with symptomatic and ruptured AAAs, none of the asymptomatic patients had a PWRI value >1.0. This threshold value might identify patients at imminent risk of rupture: Conclusions: From different FEA derived parameter, PWRI distinguishes most precisely between asymptomatic and symptomatic AAAs. If elevated, this value may represent a negative prognostic factor for asymptomatic AAAs.
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| 17. |
- Gasser, Thomas Christian
(författare)
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Aorta
- 2017
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Ingår i: Biomechanics of Living Organs. - : Elsevier. - 9780128040607 - 9780128040096 ; , s. 169-191
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Bokkapitel (refereegranskat)abstract
- The aorta is a dynamic structure that is able to maintain conditions for optimal mechanical operation through the continuous turnover of its internal structure. The aorta's properties are critical to the entire cardiovascular system, and the study of its biomechanics may help us to better understand the role of tissue stress and strain in aortic aging and pathology, help to optimize medical devices, and improve therapeutic and diagnostic methods that are currently used in clinics. The present chapter reviews aortic wall histology and morphology in relation to its key mechanical properties. Specifically, the biomechanical role of cells (endothelial cells, smooth muscle cells, fibroblasts, etc.), as well as the extracellular matrix components (elastin, collagen, proteoglycans, water, etc.), will be discussed. Then this information is related to reported constitutive descriptions for aortic tissues. The focus is on histo-mechanical approaches and modeling frames, related to hyperelasticity as well as a superposition of fiber contributions according to a general theory of fibrous connective tissue. Concluding remarks relate to open problems in aorta biomechanics, such as uncertainty and variability of input information. Remarks are also made on the admissible degree of complexity in aortic simulations, in the context of such uncertainties.
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| 18. |
- Giampaolo, Martufi, et al.
(författare)
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Abdominal Aortic Aneurysm development over time : Experimental evidence and constitutive modeling
- 2010
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Ingår i: Proceedings of the 6th World Congress of Biomechanics. - : Springer. - 9783642145148
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Konferensbidrag (refereegranskat)abstract
- Abdominal Aortic Aneurysms (AAAs) are defined as a localized permanent dilatation of the infrarenal aorta at least 50 % of its normal diameter. AAAs are frequently diagnosed in the elderly male population and evaluating rupture risk is critically important as aneurysm rupture carries high mortality rates. Growth predictors might be helpful to assess AAA rupture risk and could therefore give a better graded indication for elective repair in order to reduce related mortality without unnecessarily increasing the rate of interventions. Factors associated with AAA growth are still limited but there are some evidence that higher initial AAA diameter is related to faster AAA expansion [1]. The initial dilatation is dependent on elastin degradation, but strength of the AAA is maintained by increased production of collagen. It has been suggested that rupture occurs when collagen production is insufficient to counteract load-bearing at high pressure [2]. AAA growth quantification 30 patients with infrarenal AAAs were included in this study. Criteria for inclusion were 1-year follow-up and availability of at least two high-resolution Computer Tomography-Angiography (CTA) scans. Consequently, 60 CT-A scans were systematically segmented, reconstructed and analyzed (A4research, VASCOPS GmbH), in order to investigate geometrical and mechanical factors likely to be correlated with AAA growth. Derived results were analyzed with an especially developed (automatic) analyzing schema (MatLab, The MathWorks), and the derived information aims at guiding the development of an analytical growth model for AAAs. Constitutive Modeling Collagen is a structural protein responsible for the mechanical strength, stiffness and toughness of biological tissues like skin, tendon, bone, cornea, lung and vasculature. In the present study we considered the enlargement of the aneurysm as a consequence of a pathological degradation and synthesis of collagen, i.e. malfunction of collagen turn-over. Consequently, the vascular wall is modeled by an (inert) matrix material representing the elastin, which is reinforced by a dynamic structure of bundles of collagen. Specifically, collagen is formed by a continuous stress-mediated process and deposited in the current configuration [3] and removed by a constant degradation rate. Finally the micro-plane concept [4] is used for the Finite Element implementation [5] of the constitutive model. Results and conclusions The quantitative description of AAA growth by examining patient follow-up data revealed novel insights into the natural history of this disease. Most interestingly not all portions of the AAA seem to enlarge, some might be stable or even shrink over time; a feature that has not yet been considered by models reported in the literature. The model proposed within this study has a strong biological motivation and captures saline feature of AAA growth. Besides that, the micro-plane approach allows a straight forward FE implementation and preliminary results indicate its numerical robustness. References [1] F.J.V. Schlösser, et al., J Vasc Surg, 47:1127–1133 2008. [2] E. Choke, et al., Eur.j.Vasc.endovasc.surg, 30(3):227-44 2005. [3] J.D.Humphrey, J Biomech Eng, 121:591–597 1999. [4] Z.P. Bazant and P.C. Prat, J Eng Mech, 113(7) 1050-1064 1987. [5] S. Federico and T.C Gasser, J R Soc Interface (in press)
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| 19. |
- Grover, Sandeep, et al.
(författare)
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Replication of a Novel Parkinson's Locus in a European Ancestry Population
- 2021
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Ingår i: Movement Disorders. - : Wiley. - 0885-3185 .- 1531-8257. ; 36:7, s. 1689-1695
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: A recently published East Asian genome-wide association study of Parkinson;s disease (PD) reported 2 novel risk loci, SV2C and WBSCR17.OBJECTIVES: The objective of this study were to determine whether recently reported novel SV2C and WBSCR17 loci contribute to the risk of developing PD in European and East Asian ancestry populations.METHODS: We report an association analysis of recently reported variants with PD in the COURAGE-PD cohort (9673 PD patients; 8465 controls) comprising individuals of European and East Asian ancestries. In addition, publicly available summary data (41,386 PD patients; 476,428 controls) were pooled.RESULTS: Our findings confirmed the role of the SV2C variant in PD pathogenesis (rs246814, COURAGE-PD PEuropean = 6.64 × 10-4 , pooled PD P = 1.15 × 10-11 ). The WBSCR17 rs9638616 was observed as a significant risk marker in the East Asian pooled population only (P = 1.16 × 10-8 ).CONCLUSIONS: Our comprehensive study provides an up-to-date summary of recently detected novel loci in different PD populations and confirmed the role of SV2C locus as a novel risk factor for PD irrespective of the population or ethnic group analyzed. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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| 20. |
- Grytsan, Andrii, et al.
(författare)
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Growth Description for Vessel Wall Adaptation : A Thick-Walled Mixture Model of Abdominal Aortic Aneurysm Evolution
- 2017
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Ingår i: Materials. - : MDPI AG. - 1996-1944 .- 1996-1944. ; 10:9
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Tidskriftsartikel (refereegranskat)abstract
- (1) Background: Vascular tissue seems to adapt towards stable homeostatic mechanical conditions, however, failure of reaching homeostasis may result in pathologies. Current vascular tissue adaptation models use many ad hoc assumptions, the implications of which are far from being fully understood; (2) Methods: The present study investigates the plausibility of different growth kinematics in modeling Abdominal Aortic Aneurysm (AAA) evolution in time. A structurally motivated constitutive description for the vessel wall is coupled to multi-constituent tissue growth descriptions; Constituent deposition preserved either the constituent's density or its volume, and Isotropic Volume Growth (IVG), in-Plane Volume Growth (PVG), in-Thickness Volume Growth (TVG) and No Volume Growth (NVG) describe the kinematics of the growing vessel wall. The sensitivity of key modeling parameters is explored, and predictions are assessed for their plausibility; (3) Results: AAA development based on TVG and NVG kinematics provided not only quantitatively, but also qualitatively different results compared to IVG and PVG kinematics. Specifically, for IVG and PVG kinematics, increasing collagen mass production accelerated AAA expansion which seems counterintuitive. In addition, TVG and NVG kinematics showed less sensitivity to the initial constituent volume fractions, than predictions based on IVG and PVG; (4) Conclusions: The choice of tissue growth kinematics is of crucial importance when modeling AAA growth. Much more interdisciplinary experimental work is required to develop and validate vascular tissue adaption models, before such models can be of any practical use.
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