Evidence map›Paper›PMID 40116966›Full record

ArticleArchives of osteoporosis2025

Bone stiffness and strength at the distal radius can be determined using photon-counting CT.

Jilmen Quintiens, Elena Paravisi, Piyush Uniyal, G Harry van Lenthe

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Article in Archives of osteoporosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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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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

3 citing papers in PubMed.

  1. Review
  2. Radiomics in spinal research: a narrative review.Frontiers in bioengineering and biotechnology · 2026
    Review
  3. Review
4 · The record

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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

4 authors.

Jilmen QuintiensDepartment of Mechanical Engineering, KU Leuven, Leuven, Belgium.
Elena ParavisiDepartment of Mechanical Engineering, KU Leuven, Leuven, Belgium.
Piyush UniyalDepartment of Mechanical Engineering, KU Leuven, Leuven, Belgium.
G Harry van LentheDepartment of Mechanical Engineering, KU Leuven, Leuven, Belgium. harry.vanlenthe@kuleuven.be.

Funding

F.R.S.-FNRS EOS No. 40007553
6 · The paper itself

Abstract

Estimating bone strength aids in osteoporotic fracture risk assessment. Bone strength is usually calculated with a high-resolution CT; however, this modality has limited clinical utility. We demonstrated that clinical photon-counting CT can also be used for bone strength quantification, which facilitates the use of this information in clinical decision-making. PURPOSE: Quantification of bone strength and microarchitecture at the distal radius with high-resolution peripheral quantitative computed tomography (HR-pQCT) can predict osteoporotic fracture risk independently of dual-energy X-ray absorptiometry. Photon-counting CT (PCCT) is a novel imaging technique with larger fields of view, shorter acquisition times, and similar resolution when compared to HR-pQCT. This study aimed to compare the stiffness and strength of the distal radius computed from PCCT and HR-pQCT images.

methodsWe evaluated a 10.2 mm section of the distal radius from eight cadaveric forearms scanned with PCCT and HR-pQCT at 0.11 mm and 0.061 mm voxel size, respectively. All CT images were converted to voxel-based linear finite element models. Two material models were used: a segmentation-based model with a fixed Young's modulus of 10 GPa for bone elements, and a density-based model where Young's modulus was assigned on a voxel-by-voxel basis, based on its gray value. Poisson's ratio was set to 0.3 for all elements. Axial compression at 1% apparent strain was applied to quantify stiffness; strength was quantified with the Pistoia criterion. In addition, load sharing between cortical and trabecular bone was quantified.

resultsWe found strong correlations between PCCT and HR-pQCT-derived bone stiffness, strength, and cortical and trabecular proportion for segmentation-based models (R

conclusionWe demonstrated that PCCT can estimate bone strength with high accuracy and agreement when compared to HR-pQCT. These findings highlight PCCT's potential in assessing fracture risk in osteoporosis. At the same time, PCCT's large field of view enables broader usage, at sites different from peripheral limbs.

Indexed as

RadiusTomography, X-Ray ComputedAbsorptiometry, PhotonAgedAged, 80 and overBone DensityCadaverFemaleFinite Element AnalysisHumansMaleMiddle AgedOsteoporotic FracturesBone stiffnessBone strengthFinite element modellingHigh-resolution peripheral quantitative CTPhoton-counting CT

Identifiers

PMID40116966

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Registered trials

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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.