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Évaluation de la corrélation entre l'élasticité du cortex rénal mesurée par elastography point quantification ElastPQ et le score FIAT de fibrose rénale évalué par biopsie chez des patients atteints de néphropathie chronique. Méthode : 16 adultes atteints de néphropathie chronique et 16 volontaires sains ont eu un examen élastographique des reins par ElastPQ. Les mesures d'élasticité du cortex rénal étaient exprimées en kPa. 10 de ces 16 patients ont eu une biopsie dans le cadre de leurs soins pour laquelle le score FIAT a été évalué. L'existence potentielle d'une corrélation a été recherchée entre les mesures élastographiques et les paramètres biologiques, histologiques et échographiques dans le groupe malade. Une corrélation potentielle a été recherchée entre les valeurs élastographiques et les paramètres biologiques et échographiques dans le groupe des volontaires sains. Les données échographiques, élastographiques et biologiques des patients et des volontaires sains ont été comparées. Résultats : L'élasticité du cortex rénal n'était pas corrélée aux paramètres biologiques ou échographiques. Cependant, une corrélation significative a été observée entre l'élasticité du cortex rénal et le score FIAT (r = 0.7, p = 0.0282). Aucune différence significative des valeurs élastographiques n'a été trouvée entre le groupe contrôle et le groupe malade. Conclusion : L'élasticité du cortex rénal chez les patients atteints de néphropathie chronique était corrélée au score FIAT de la biopsie. Une différence significative entre les grades 1 et 2 du score FIAT avec une valeur seuil de 5.66kPa a été observée. Ce résultat offre des perspectives pour l'évaluation et la détection des néphropathies rénales chroniques avec la possibilité d'une réduction du nombre de biopsies rénales. Evaluation of the correlation between the renal cortex stiffness in chronic kidney disease (CKD) evaluated by elastography point quantification (ElastPQ) and the FIAT score of renal fibrosis in CKD. Methods 16 consecutive adults’ patients with CKD and sixteen healthy volunteers underwent ElastPQ elastography. The elastographic measurements of the renal cortex were expressed with kPa values. 10 patients with CKD had a clinically indicated biopsy for which interstitial fibrosis was evaluated by the FIAT score. Correlation: were evaluated between elasticity values and echographic, biological and histopathologic data for the patients comparison; echographic and biological results were used for the comparison of data between patients and volunteers. Results: Renal cortical stiffness did not correlate with any biological or echographic parameters, however, a significant correlation was observed between cortical stiffness and the FIAT score (r = 0.7, p = 0.0282). No significant differences were found between the renal cortical stiffness of the control group and de diseased group. Conclusions: Renal cortical stiffness in CKD by ElastPQ was correlated with the FIAT score. A significant difference was observed between the grade 1 and 2 of the FIAT score with a threshold of 5.66 kPa. This result offers perspectives in evaluation and detection of CKD with the possibility to reduce the number of biopsies.

Elasticity Imaging Techniques --- Ultrasonography --- Hemorrhagic Fever with Renal Syndrome

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This book is the first to comprehensively explore elasticity imaging and examines recent, important developments in asymptotic imaging, modeling, and analysis of deterministic and stochastic elastic wave propagation phenomena. It derives the best possible functional images for small inclusions and cracks within the context of stability and resolution, and introduces a topological derivative-based imaging framework for detecting elastic inclusions in the time-harmonic regime. For imaging extended elastic inclusions, accurate optimal control methodologies are designed and the effects of uncertainties of the geometric or physical parameters on stability and resolution properties are evaluated. In particular, the book shows how localized damage to a mechanical structure affects its dynamic characteristics, and how measured eigenparameters are linked to elastic inclusion or crack location, orientation, and size. Demonstrating a novel method for identifying, locating, and estimating inclusions and cracks in elastic structures, the book opens possibilities for a mathematical and numerical framework for elasticity imaging of nanoparticles and cellular structures.

Elasticity --- Elastic properties --- Young's modulus --- Mathematical physics --- Matter --- Statics --- Rheology --- Strains and stresses --- Strength of materials --- Mathematics. --- Properties --- Dirichlet function. --- Helmholtz decomposition theorem. --- Helmholtz decomposition. --- HelmholtzЋirchhoff identities. --- Kelvin matrix. --- Kirchhoff migration. --- Lam system. --- MUSIC algorithm. --- Neumann boundary condition. --- anisotropic elasticity. --- asymptotic expansion. --- asymptotic formula. --- asymptotic imaging. --- ball. --- boundary displacement. --- boundary perturbation. --- boundary value problem. --- boundedness. --- cellular structure. --- compressional modulus. --- crack. --- density parameter. --- direct imaging. --- discrepancy function. --- displacement field. --- displacement. --- elastic coefficient. --- elastic equation. --- elastic inclusion. --- elastic moment tensor. --- elastic structure. --- elastic wave equation. --- elastic wave propagation. --- elastic wave. --- elasticity equation. --- elasticity imaging. --- elasticity. --- ellipse. --- energy functional. --- extended inclusion. --- extended source term. --- extended target. --- far-field measurement. --- filtered quadratic misfit. --- function space. --- gradient scheme. --- hard inclusion. --- hard inclusions. --- heterogeneous shear distribution. --- high contrast coefficient. --- hole. --- imaging functional. --- inclusion. --- incompressible limit. --- internal displacement measurement. --- layer potential. --- linear elasticity. --- linear transformation. --- linearized reconstruction problem. --- measurement noise. --- medium noise. --- nanoparticle. --- nonlinear optimization problem. --- nonlinear problem. --- operator-valued function. --- optimal control. --- potential energy functional. --- pressure. --- radiation condition. --- random fluctuation. --- resolution. --- reverse-time migration. --- scalar wave equation. --- search algorithm. --- shape change. --- shape deformation. --- shape. --- shear distribution. --- shear modulus. --- shear wave. --- small crack. --- small inclusion. --- small-volume expansion. --- small-volume inclusion. --- soft inclusion. --- stability analysis. --- stability. --- static regime. --- stochastic modeling. --- time-harmonic regime. --- time-reversal imaging. --- topological derivative. --- vibration testing.