Evidence map›Paper›PMID 40186637›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2025

Simulated low-dose multi-detector computed tomography: spatial effects on surrogate parameters of bone strength at the proximal femur.

Nico Sollmann, Kai Mei, Maximilian T Löffler, Sebastian Rühling, Meinrad Beer, Claus Zimmer, Jan S Kirschke, Peter B Noël, Thomas Baum, Julio Carballido-Gamio

Abstract read
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Nico SollmannDepartment of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany. nico.sollmann@tum.de.ORCID http://orcid.org/0000-0002-8120-2223
Kai MeiDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Maximilian T LöfflerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Sebastian RühlingDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Meinrad BeerDepartment of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany.
Claus ZimmerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Jan S KirschkeDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Peter B NoëlDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Thomas BaumDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine and Health, TUM Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Julio Carballido-GamioDepartment of Radiology, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA.

Funding

Bone Quality in Patients with Long-Standing Type 1 DiabetesR01AR080423 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI CARBALLIDO-GAMIO, JULIO, SHAH, VIRAL N · 2022 to 2025
$1.5M
B. Braun-Stiftung BBST-D-19-00106Deutsche Forschungsgemeinschaft 432290010National Institute of Health R01AR080423NIAMS NIH HHS R01 AR080423
6 · The paper itself

Abstract

This study investigated simulated tube current reduction and sparse sampling for low-dose computed tomography (CT) regarding volumetric bone mineral density (vBMD) and cortical bone thickness (Ct.Th) of the proximal femur. Sparse sampling with dose reductions of up to 90% may still allow extraction of bone strength parameters with clinically acceptable accuracy.

introductionWe aimed to investigate effects of CT with simulated lowered tube current and sparse sampling on trabecular and cortical vBMD as well as Ct.Th of the entire proximal femur, its subregions, and with detailed spatial assessments.

methodsClinical routine multi-detector CT (MDCT) scans covering the hips from 40 patients were used for simulations of low-dose imaging with 50% and 10% of the original tube current (D50, D10) or projections (P50, P10) combined with statistical iterative reconstruction (SIR), which were then compared against original data with full dose (D100 P100) regarding trabecular vBMD, cortical vBMD, and Ct.Th. An automated framework for multi-parametric assessments was used. Relative errors by comparing measures from original data and simulated low-dose data, regression analyses, Bland-Altman analyses, and statistical parametric mapping (SPM, to assess the spatial distribution of accuracy) were computed.

resultsSparse sampling enabled drastic reductions of radiation exposure (down to 10% of original imaging) while still producing determinants of bone strength with clinically acceptable relative changes. Lower biases according to Bland-Altman analyses were observed for sparse sampling compared to imaging with virtually lowered tube currents (D10 P100 versus D100 P10) regarding trabecular vBMD, cortical vBMD, as well as Ct.Th. Better accuracy across the whole proximal femur for D100 P50 than for D50 P100 and for D100 P10 than for D10 P100 was observed.

conclusionsSparse sampling with SIR may enable drastic reductions of radiation exposure (up to 90% of original doses) for opportunistically measuring image-based surrogate parameters of bone strength.

Indexed as

Bone DensityFemurFemur HeadMultidetector Computed TomographyAdultAgedAged, 80 and overCancellous BoneComputer SimulationCortical BoneFemaleHumansMaleMiddle AgedRadiation DosageRadiographic Image Interpretation, Computer-AssistedBiomechanicsBone QCT/microCTFracture risk assessmentOsteoporosisRadiologyScreening

Identifiers

PMID40186637
PMCPMC12089198

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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.