Evidence map›Paper›PMID 38290290›Full record

ArticleComputer methods and programs in biomedicine2024

Kidney cortex shear wave motion simulations based on segmented biopsy histology.

Luiz Vasconcelos, Piotr Kijanka, Joseph P Grande, Rebeca Oliveira, Carolina Amador, Sara Aristizabal, Nicholas M Sanger, Andrew D Rule, Thomas D Atwell, Matthew W Urban

Abstract read
In one paragraph

Article in Computer methods and programs in biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Biomechanical Modelling of Porcine Kidney.Bioengineering (Basel, Switzerland) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Luiz VasconcelosDepartment of Radiology, Mayo Clinic, Rochester, MN, USA. Electronic address: vasconcelos.luiz@mayo.edu.
Piotr KijankaDepartment of Robotics and Mechatronics, AGH University of Krakow, Krakow, Poland.
Joseph P GrandeDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Rebeca OliveiraDepartment of Earth and Environmental Sciences, University of Minnesota, Minneapolis, MN, USA.
Carolina AmadorButterfly Network, Inc., Burlington, MA, USA.
Sara AristizabalDelos Living, New York, NY, USA.
Nicholas M SangerDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA.
Andrew D RuleDepartment of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Thomas D AtwellDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Matthew W UrbanDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.

Funding

Measurement of Renal Viscoelastic Properties with UltrasoundR01DK092255 · NIDDK · MAYO CLINIC ROCHESTER · PI URBAN, MATTHEW WILLIAM · 2012 to 2022
$5.2M
NIDDK NIH HHS R01 DK092255
6 · The paper itself

Abstract

BACKGROUND AND

objectiveBiopsy 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.

methodsHeterogeneous 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 (µ

resultsThe 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 µ

conclusionsThis 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.

Indexed as

Elasticity Imaging TechniquesAtrophyBiopsyFibrosisHumansInflammationKidney GlomerulusFibrosisInflammationKidney transplantNumerical methodsShear waveSimulationsTubular atrophyViscoelasticity

Identifiers

PMID38290290
PMCPMC10922860

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.