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Kidney cortex shear wave motion simulations based on segmented biopsy histology.
Vasconcelos, Luiz; Kijanka, Piotr; Grande, Joseph P; Oliveira, Rebeca; Amador, Carolina; Aristizabal, Sara; Sanger, Nicholas M; Rule, Andrew D; Atwell, Thomas D; Urban, Matthew W.
Afiliação
  • Vasconcelos L; Department of Radiology, Mayo Clinic, Rochester, MN, USA. Electronic address: vasconcelos.luiz@mayo.edu.
  • Kijanka P; Department of Robotics and Mechatronics, AGH University of Krakow, Krakow, Poland.
  • Grande JP; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
  • Oliveira R; Department of Earth and Environmental Sciences, University of Minnesota, Minneapolis, MN, USA.
  • Amador C; Butterfly Network, Inc., Burlington, MA, USA.
  • Aristizabal S; Delos Living, New York, NY, USA.
  • Sanger NM; Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA.
  • Rule AD; Department of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
  • Atwell TD; Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Urban MW; Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Comput Methods Programs Biomed ; 245: 108035, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38290290
ABSTRACT
BACKGROUND AND

OBJECTIVE:

Biopsy stands as the gold standard for kidney transplant assessment, yet its invasive nature restricts frequent use. Shear wave elastography (SWE) is emerging as a promising alternative for kidney transplant monitoring. A parametric study involving 12 biopsy data sets categorized by standard biopsy scores (3 with normal histology, 3 with interstitial inflammation (i), 3 with interstitial fibrosis (ci), and 3 with tubular atrophy (ct)), was conducted to evaluate the interdependence between microstructural variations triggered by chronic allograft rejection and corresponding alterations in SWE measurements.

METHODS:

Heterogeneous shear wave motion simulations from segmented kidney cortex sections were performed employing the staggered-grid finite difference (SGFD) method. The SGFD method allows the mechanical properties to be defined on a pixel-basis for shear wave motion simulation. Segmentation techniques enabled the isolation of four histological constituents glomeruli, tubules, interstitium, and fluid. Baseline ex vivo Kelvin-Voigt mechanical properties for each constituent were drawn from established literature. The parametric evaluation was then performed by altering the baseline values individually. Shear wave velocity dispersion curves were measured with the generalized Stockwell transform in conjunction with slant frequency-wavenumber analysis (GST-SFK) algorithm. By fitting the curve within the 100-400 Hz range to the Kelvin-Voigt model, the rheological parameters, shear elasticity (µ1) and viscosity (µ2), were estimated. A time-to-peak algorithm was used to estimate the group velocity. The resultant in silico models emulated the heterogeneity of kidney cortex within the shear wave speed (SWS) reconstructions.

RESULTS:

The presence of inflammation showed considerable spatial composition disparities compared to normal cases, featuring a 23 % increase in interstitial area and a 19 % increase in glomerular area. Concomitantly, there was a reduction of 12 % and 47 % in tubular and fluid areas, respectively. Consequently, mechanical changes induced by inflammation predominate in terms of rheological differentiation, evidenced by increased elasticity and viscosity. Mild tubular atrophy showed significant elevation in group velocity and µ1. Conversely, mild and moderate fibrosis exhibited negligible alterations across all parameters, compatible with relatively limited morphological impact.

CONCLUSIONS:

This proposed model holds promise in enabling patient-specific simulations of the kidney cortex, thus facilitating exploration into how pathologies altering cortical morphology correlates to modifications in SWE-derived rheological measurements. We demonstrated that inflammation caused substantial changes in measured mechanical properties.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas de Imagem por Elasticidade Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas de Imagem por Elasticidade Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article
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