Evidence map›Paper›PMID 41003484›Full record

ReviewTomography (Ann Arbor, Mich.)2025

Bone Evaluation with Micro Finite Element Analysis in Animal Models.

Behnam Namiranian, Kenichiro Doi, Salem Alenezi, Sameer B Shah, Saeed Jerban, Eric Y Chang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Tomography (Ann Arbor, Mich.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Behnam NamiranianDepartment of Radiology, University of California, San Diego, CA 92093, USA.
Kenichiro DoiDepartment of Orthopedic Surgery, Faculty of Medicine, Fukuoka University, Fukuoka 810-0180, Japan.ORCID 0000-0002-9742-850X
Salem AleneziResearch and Laboratories Sector, Saudi Food and Drug Authority, Riyadh 13513, Saudi Arabia.
Sameer B ShahDepartment of Orthopaedic Surgery, University of California, San Diego, CA 92093, USA.ORCID 0000-0001-6613-3904
Saeed JerbanDepartment of Radiology, University of California, San Diego, CA 92093, USA.ORCID 0000-0001-6450-2892
Eric Y ChangDepartment of Radiology, University of California, San Diego, CA 92093, USA.

Funding

Knee evaluation under mechanical loading by cones ultrashort echo time MR imagingK01AR080257 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2025 to 2025
$120k
BLRD VA I01 BX005952NIAMS NIH HHS K01 AR080257RRD VA I01 RX000451RRD VA I01 RX004518
6 · The paper itself

Abstract

Micro-computed tomography (micro-CT) is a commonly used tool for bone evaluation in animal model research. Micro-scale finite element analysis (µFEA) has been proposed to account for different loading scenarios, detailed three-dimensional (3D) bone structure, material properties, and distribution obtained from micro-CT to estimate bone mechanical properties and to predict its potential fracture. The in vivo application of µFEA has been limited to animal models due to the smaller bore size of micro-CT and the long scan time. This narrative review article describes studies that used micro-CT-based µFEA to predict bone mechanical competence, understand bone fracture and remodeling mechanisms, and to evaluate the impacts of the therapeutics, implants, and surgical interventions. Moreover, the concept, limitations, and future potentials of micro-CT-based FEA are discussed.

Indexed as

Bone and BonesFinite Element AnalysisFractures, BoneX-Ray MicrotomographyAnimalsBiomechanical PhenomenaBone RemodelingDisease Models, AnimalHumansImaging, Three-DimensionalModels, Animalbonemechanical competencemicro-computed tomographymicro finite element analysissponge bone

Identifiers

PMID41003484
PMCPMC12473714

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.