0000000000043354

AUTHOR

Federica Cosentino

0000-0002-7918-6930

showing 9 related works from this author

Engineering in-plane mechanics of electrospun polyurethane scaffolds for cardiovascular tissue applications

2021

Effective cardiovascular tissue surrogates require high control of scaffold structural and mechanical features to match native tissue properties, which are dependent on tissue-specific mechanics, function heterogenicity, and morphology. Bridging scaffold processing variables with native tissue properties is recognized as a priority for advancing biomechanical performance of biomedical materials and, when translated to the clinical practice, their efficacy. Accordingly, this study selected electrospinning on a rotating cylindrical target as an apparatus of broad application and mapped the relationship between key processing variables and scaffold mechanics and structure. This information was…

Electrospinningcardiovascular tissue mechanical propertieTissue EngineeringTissue ScaffoldsPolyestersPolyurethanesBiomedical Engineeringcardiovascular tissue surrogateBiocompatible Materialscardiovascular tissue morphology.wet processingCardiovascular SystemBiomaterialsMechanics of MaterialselectrodepositionJournal of the Mechanical Behavior of Biomedical Materials
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Statistical shape analysis of ascending thoracic aortic aneurysm: Correlation between shape and biomechanical descriptors

2020

An ascending thoracic aortic aneurysm (ATAA) is a heterogeneous disease showing different patterns of aortic dilatation and valve morphologies, each with distinct clinical course. This study aimed to explore the aortic morphology and the associations between shape and function in a population of ATAA, while further assessing novel risk models of aortic surgery not based on aortic size. Shape variability of n = 106 patients with ATAA and different valve morphologies (i.e., bicuspid versus tricuspid aortic valve) was estimated by statistical shape analysis (SSA) to compute a mean aortic shape and its deformation. Once the computational atlas was built, principal component analysis (PCA) allow…

Aortic valveprincipal component analysis0206 medical engineeringPopulationshape analysislcsh:MedicineMedicine (miscellaneous)Principal component analysi02 engineering and technology030204 cardiovascular system & hematologyThoracic aortic aneurysmTortuosityArticleCorrelation03 medical and health sciences0302 clinical medicinemedicine.arterymedicineShear stress: straineducationeducation.field_of_studyAortaShape analysibusiness.industryStatistical shape analysislcsh:RComputational modelingAnatomymedicine.disease020601 biomedical engineeringmedicine.anatomical_structurecardiovascular systembusinessShape analysis (digital geometry)
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On the severity of aortic stenosis in ascending aortic aneurysm: A computational tool to examine ventricular-arterial interaction and aortic wall str…

2020

Abstract An ascending thoracic aortic aneurysm (ATAA) is a life-threatening cardiovascular consequence of vessel dilatation that portends adverse events and death. From a clinical perspective, ATAA should not be treated as an isolated disease, and surgery is often carried out in the presence of AS, aortic insufficiency or a calcified valve leaflet. Aortic stenosis (AS) is common in ATAAs and leads to both vessel rigidity and left ventricular (LV) impairment. In this study, lumped-parameter modeling and computational analysis were used to assess the change in the wall shear stress (WSS) and intramural wall stress of patient-specific ATAA models with different degrees of AS (i.e., mild to sev…

Aortic valvemedicine.medical_specialtyHemodynamicsThoracic aortic aneurysmImaging dataAortic aneurysmInternal medicinemedicineGeneral Materials ScienceIn patientFinite-element analysisCivil and Structural EngineeringShear stressbusiness.industryAortic stenosisMechanical EngineeringAscending thoracic aortic aneurysmCondensed Matter Physicsmedicine.diseaseAortic wallStenosismedicine.anatomical_structureMechanics of Materialscardiovascular systemCardiologyCFDbusinessMechanics Research Communications
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Clinical characteristics and predictors of death among hospitalized patients infected with SARS‑CoV‑2 in Sicily, Italy: A retrospective observational…

2022

Since late December 2019, severe acute respiratory syndrome coronavirus 2 has spread across the world, which resulted in the World Health Organization declaring a global pandemic. Coronavirus disease 2019 (COVID-19) presents a highly variable spectrum with regard to the severity of illness. Most infected individuals exhibit a mild to moderate illness (81%); however, 14% have a serious disease and 5% develop severe acute respiratory distress syndrome (ARDS), requiring intensive care support. The mortality rate of COVID-19 continues to rise across the world. Data regarding predictors of mortality in patients with COVID 19 are still scarce but are being actively investigated. The present multi…

predictors of death.SARS-CoV-2General Neurosciencepandemicepidemiological featuresGeneral MedicineGeneral Pharmacology Toxicology and Pharmaceuticsepidemiological featureSARS-CoV-2 pandemic epidemiological features predictors of deathpredictors of deathGeneral Biochemistry Genetics and Molecular Biology
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Shear Stress and Aortic Strain Associations With Biomarkers of Ascending Thoracic Aortic Aneurysm

2019

This study aims to investigate the association of wall shear stress (WSS) and aortic strain with circulating biomarkers including matrix metalloproteinases (MMP), tissue inhibitors of metalloproteinase (TIMP), and exosomal level of microRNA (miRNA) in ascending aortic aneurysms of patients with bicuspid or tricuspid aortic valve.A total of 76 variables from 125 patients with ascending aortic aneurysms were collected from (1) blood plasma to measure plasma levels of miRNAs and protein activity; (2) computational flow analysis to estimate peak systolic WSS and time-average WSS (TAWSS); and (3) imaging analysis of computed tomography angiography to determine aortic wall strain. Principal compo…

AdultMalePulmonary and Respiratory MedicineAortic valvemedicine.medical_specialtybicuspid aortic valveVascular Remodeling030204 cardiovascular system & hematologyMechanotransduction CellularThoracic aortic aneurysm03 medical and health sciencesAortic aneurysm0302 clinical medicineBicuspid aortic valveBicuspid Aortic Valve Diseaseascending thoracic aortic aneurysmMatrix Metalloproteinase 12medicine.arteryInternal medicineAscending aortamedicineHumansAortaAgedComputed tomography angiographyAortaTissue Inhibitor of Metalloproteinase-1Aortic Aneurysm Thoracicmedicine.diagnostic_testbusiness.industrybiomarkersSettore ING-IND/34 - Bioingegneria IndustrialeMiddle Agedmedicine.diseaseMicroRNAsLogistic ModelsBlood pressuremedicine.anatomical_structure030228 respiratory systemAortic Valvecardiovascular systemCardiologyFemaleSurgeryStress MechanicalMatrix Metalloproteinase 1Cardiology and Cardiovascular MedicinebusinessThe Annals of Thoracic Surgery
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On the role of material properties in ascending thoracic aortic aneurysms

2019

One of the obstacles standing before the biomechanical analysis of an ascending thoracic aortic aneurysm (ATAA) is the difficulty in obtaining patient-specific material properties. This study aimed to evaluate differences on ATAA-related stress predictions resulting from the elastostatic analysis based on the optimization of arbitrary material properties versus the application of patient-specific material properties determined from ex-vivo biaxial testing. Specifically, the elastostatic analysis relies the on the fact that, if the aortic wall stress does not depend on material properties, the aorta has to be statistically determinate. Finite element analysis (FEA) was applied to a group of …

0301 basic medicineMaleYeohConstitutive equationFinite Element AnalysisHealth InformaticsAorta ThoracicThoracic aortic aneurysmStress (mechanics)03 medical and health sciencesAortic aneurysm0302 clinical medicineAneurysmmedicineHumansMathematicsAgedAortic Aneurysm ThoracicModels CardiovascularMiddle Agedmedicine.diseaseFinite element methodComputer Science Applications030104 developmental biologyFemaleStress MechanicalMaterial propertiesmaterial propertiesaortic aneurysm030217 neurology & neurosurgeryBiomedical engineering
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Computational modeling of bicuspid aortopathy: Towards personalized risk strategies.

2019

This paper describes current advances on the application of in-silico for the understanding of bicuspid aortopathy and future perspectives of this technology on routine clinical care. This includes the impact that artificial intelligence can provide to develop computer-based clinical decision support system and that wearable sensors can offer to remotely monitor high-risk bicuspid aortic valve (BAV) patients. First, we discussed the benefit of computational modeling by providing tangible examples of in-silico software products based on computational fluid-dynamic (CFD) and finite-element method (FEM) that are currently transforming the way we diagnose and treat cardiovascular diseases. Then…

0301 basic medicineProcess (engineering)Computer scienceFinite Element AnalysisHeart Valve DiseasesWearable computerCoronary Artery Disease030204 cardiovascular system & hematologyClinical decision support system03 medical and health sciences0302 clinical medicineSoftwareBicuspid aortic valveBicuspid Aortic Valve DiseaseArtificial IntelligencemedicineHumansClinical careMolecular Biologybusiness.industryHemodynamicsModels Cardiovascularaortic failure bicuspid aortic valvemedicine.diseaseFractional Flow Reserve Myocardial030104 developmental biologyRisk analysis (engineering)Aortic ValvePersonalized medicineCardiology and Cardiovascular MedicinebusinessJournal of molecular and cellular cardiology
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Simulation study of transcatheter heart valve implantation in patients with stenotic bicuspid aortic valve

2019

Bicuspid aortic valve (BAV) anatomy has routinely been considered an exclusion in the setting of transcatheter aortic valve implantation (TAVI) because of the large dimension of the aortic annulus having a more calcified, bulky, and irregular shape. The study aims to develop a patient-specific computational framework to virtually simulate TAVI in stenotic BAV patients using the Edwards SAPIEN 3 valve (S3) and its improved version SAPIEN 3 Ultra and quantify stent frame deformity as well as the severity of paravalvular leakage (PVL). Specifically, the aortic root anatomy of n.9 BAV patients who underwent TAVI was reconstructed from pre-operative CT imaging. Crimping and deployment of S3 fram…

MaleModels Anatomicmedicine.medical_treatment02 engineering and technology030218 nuclear medicine & medical imaging0302 clinical medicineBicuspid aortic valveBicuspid Aortic Valve DiseaseImage Processing Computer-AssistedCardiac skeletonPrecision MedicineAged 80 and overCardiac cycleSettore ING-IND/34 - Bioingegneria IndustrialeComputer Science Applicationsmedicine.anatomical_structureSurgery Computer-Assistedcardiovascular systemCardiologyFemalemedicine.symptommedicine.medical_specialtyBicuspid aortic valve0206 medical engineeringFinite Element AnalysisBiomedical EngineeringDiastoleTranscatheter Aortic Valve Replacement03 medical and health sciencesFluid-solid interactionInternal medicinePreoperative CaremedicineDeformityHumansIn patientHeart valveAgedRetrospective StudiesTranscatheter aortic valve implantationbusiness.industryStentComputational BiologyFinite-element analysiAortic Valve Stenosismedicine.disease020601 biomedical engineeringbusinessTomography X-Ray ComputedEchocardiography Transesophageal
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Biomechanical analysis of Ascending Thoracic Aortic Aneurysm (ATAA)

2021

According to the reports of the World Health Organisation (WHO), cardiovascular diseases are the number one cause of death worldwide. Specifically, arterial disease and degeneration are the major reasons for cardiovascular death and disability. Because these diseases are dependent on the changes of the mechanical properties of the arterial wall, it is very important to know as much as possible about the structural composition of arteries. The human aorta is the biggest artery in the body and consists of three main parts, ascending aorta, aortic arch and descending aorta. The walls of the arteries consist of three layers, the intima, media and adventitia, where each of the layers has differe…

experimental identification multiphoton imaging Second-harmonic generation fine element method.continuum mechanichyperelastic modelSettore ING-IND/34 - Bioingegneria Industrialehyperelastic material
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