Evidence map›Paper›PMID 40462036›Full record

ArticleBMC musculoskeletal disorders2025

Finite element fracture load analysis and dark-field X-ray imaging of osteoporotic and healthy vertebrae in human lumbar spine specimens.

N Hesse, D Strack, J F Rischewski, F T Gassert, A Kufner, T Urban, M E Lochschmidt, B J Schwaiger, C Braun, D P Mueller and 5 more

Abstract read
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In one paragraph

Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

N Hesse *Department of Radiology, University Hospital, LMU Munich, Ziemssenstr. 5, Munich, 80336, Germany. nina.hesse@med.uni-muenchen.de.
D Strack *Department of Mechanical and Production Engineering - Design and Manufacturing, Aarhus University, Katrinebjergvej 89 G-F, Aarhus N, 8200, Denmark.
J F RischewskiInstitute for Diagnostic and Interventional Neuroradiology, University Hospital, LMU Munich, Marchioninistraße 15, Munich, 81377, Germany.
F T GassertDepartment of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany.
A KufnerDepartment of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany.
T UrbanDepartment of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany.
M E LochschmidtDepartment of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany.
B J SchwaigerDepartment of Diagnostic' and Interventional Neuroradiology, School of Medicine and Health, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany.
C BraunInstitute of Legal Medicine, Faculty of Medicine, LMU Munich, Nußbaumstraße 26, Munich, 80336, Germany.
D P MuellerDepartment of Trauma Surgery, Klinikum Rechts Der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany.
D PfeifferDepartment of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany.
T BaumDepartment of Diagnostic' and Interventional Neuroradiology, School of Medicine and Health, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany.
K SubburajDepartment of Mechanical and Production Engineering - Design and Manufacturing, Aarhus University, Katrinebjergvej 89 G-F, Aarhus N, 8200, Denmark.
F Pfeiffer *Department of Diagnostic and Interventional Radiology, Klinikum Rechts Der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, Munich, 81675, Germany.
A S Gersing *Institute for Diagnostic and Interventional Neuroradiology, University Hospital, LMU Munich, Marchioninistraße 15, Munich, 81377, Germany.

Funding

Aarhus University Research Foundation AUFF-E-2022-7-12Munich Clinician Scientist Program (MCSP) ACS-10
6 · The paper itself

Abstract

purposeThis study investigated the association of measurements from a clinical X-ray dark-field prototype system and CT-based finite element analysis (FEA) in lumbar spine specimens. MATERIALS AND

methodsIn this prospective study, human cadaveric spine specimens (L2 to L4) were examined using a clinical prototype for dark-field radiography, yielding both attenuation and dark-field images. Specimens were scanned in vertical and horizontal positions. Volumetric bone mineral density (BMD) values were derived from quantitative CT measurements. Bone segmentation masks derived from CT-images were used for FEA-estimated fracture load (FL) calculations. FEA-estimated FL, dark-field, and attenuation signals were compared between osteoporotic/osteopenic (BMD < 120 mg/cm

resultsFifty-nine vertebrae from 20 lumbar spine specimens (mean age, 73 years ± 13; 11 women) were studied. FEA-estimated FL correlated with BMD (r = 0.75, p < .001) and was significantly lower in osteoporotic/osteopenic vertebrae (1222 ± 566 vs. 2880 ± 1182, p < .001). Dark-field and attenuation signals were positively correlated with FEA-estimated FL, in both vertical (r

conclusionDark-field and attenuation signals assessed using a clinical X-ray dark-field system significantly correlated with FEA-estimated FL in human spine specimens with and without osteoporosis/osteopenia. Dark-Field imaging may complement existing assessment methods for bone strength as a dose-efficient, accessible tool.

Indexed as

Bone DensityLumbar VertebraeOsteoporotic FracturesSpinal FracturesAgedAged, 80 and overCadaverFemaleFinite Element AnalysisHumansMaleMiddle AgedProspective StudiesTomography, X-Ray ComputedBoneDark-field imagingFinite element analysisOsteoporosisSpine

Identifiers

PMID40462036
PMCPMC12131393

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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.