Evidence map›Paper›PMID 41807587›Full record

ArticleScientific reports2026

A micro-CT-integrated 3D simulation framework reveals fluid transport mechanisms and void dynamics in root canal biomaterials.

Amir Raoof, Maryam Raoof, Hossein Fathi, Behdad Pouran, Reza Derakhshani

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Amir RaoofDepartment of Earth Sciences, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands. a.raoof@uu.nl.
Maryam RaoofDepartment of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Hossein FathiDepartment of Earth Sciences, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands.
Behdad PouranDepartment of Orthopedics, University Medical Center Utrecht, Utrecht, The Netherlands.
Reza DerakhshaniDepartment of Earth Sciences, Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands. r.derakhshani@uu.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A micro-CT-integrated three-dimensional simulation framework (3D-SALAM) was developed to address the long-standing limitations of destructive, poorly reproducible leakage tests traditionally used to evaluate the sealing performance of root canal biomaterials. Despite decades of research, the long-term stability of root canal fillings remains uncertain because existing in vitro models fail to capture the complex, three-dimensional transport of fluids through micro-void networks. To bridge this methodological gap, the present study introduces and demonstrates 3D-SALAM-an innovative, non-destructive platform that integrates high-resolution micro-computed tomography with computational fluid dynamics to mechanistically characterise void geometry, connectivity, and fluid transport behaviour within obturated teeth. Micro-CT datasets (10 μm voxel size) from human single-rooted teeth were converted into numerical meshes for finite-volume simulations, systematically varying surface wettability (contact angle 25°-150°), injection velocity, and applied pressure. These simulations are presented as a proof-of-concept application of the workflow, illustrating how hydrophilic surfaces achieved up to 92% void saturation with less than 10% trapped air, while hydrophobic domains retained over 25%. Medium injection velocities produced optimal filling efficiency by balancing capillary and viscous forces, and applied pressure accelerated transport but induced pronounced local concentration gradients. This proof-of-concept study demonstrates that 3D-SALAM enables reproducible, quantitative, and mechanistic mapping of fluid dynamics in complex biomaterial architectures. Beyond characterising initial obturation quality, this approach provides a methodological foundation for longitudinal evaluation of material degradation, interfacial stability, and fluid-mediated transport phenomena. The framework's adaptability also extends its relevance to a wide range of porous and composite biomaterials in regenerative medicine and biomedical engineering, where void connectivity and capillary behaviour critically influence long-term performance.

Indexed as

Biocompatible MaterialsDental Pulp CavityImaging, Three-DimensionalRoot Canal Filling MaterialsX-Ray MicrotomographyComputer SimulationHumansHydrodynamicsBiocompatible MaterialsRoot Canal Filling MaterialsBiomaterial performanceCapillary transportComputational fluid dynamics (CFD)Micro-computed tomography (micro-CT)Void connectivity

Identifiers

PMID41807587
PMCPMC12979788

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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.