Evidence map›Paper›PMID 37525062›Full record

ArticleEuropean radiology experimental2023

Comparison of volumetric and areal bone mineral density in CT and scout scans using spectral detector technology.

Johannes Hammel, Lorenz Birnbacher, Graeme Campbell, Philippe Coulon, Lev Ushakov, Franz Pfeiffer, Marcus R Makowski, Jan Kirschke, Daniela Pfeiffer

Abstract read
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Article in European radiology experimental, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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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

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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. Advancing bone health evaluation in Hermann's tortoises (Frontiers in veterinary science · 2026
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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

9 authors.

Johannes HammelDepartment of Diagnostic and Interventional Radiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany. Johannes.hammel@tum.de.ORCID 0000-0002-0132-7801
Lorenz BirnbacherDepartment of Diagnostic and Interventional Radiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.
Graeme CampbellPhilips GmbH Market DACH, Hamburg, Germany.
Philippe CoulonPhilips Healthcare, Suresnes, France.
Lev UshakovDepartment of Diagnostic and Interventional Radiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.
Franz PfeifferDepartment of Diagnostic and Interventional Radiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.
Marcus R MakowskiDepartment of Diagnostic and Interventional Radiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.
Jan KirschkeDepartment of Diagnostic and Interventional Neuroradiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.
Daniela PfeifferDepartment of Diagnostic and Interventional Radiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine whether denoised areal bone mineral density (BMD) measurements from scout scans in spectral detector computed tomography (CT) correlate with volumetric trabecular BMD for opportunistic osteoporosis screening.

methodsA 64-slice single-source dual-layer spectral CT scanner was used to acquire scout scan data of 228 lumbar vertebral bodies within 57 patients. Scout scans in anterior-posterior (AP) view were performed with a dose of < 0.06 mSv and spectrally decomposed into areal BMD (aBMD) values. A spectral dictionary denoising algorithm was applied to increase the signal-to-noise ratio (SNR). Volumetric trabecular bone mineral density (vBMD) was determined via material decomposition. A 3D convolutional network for image segmentation and labeling was applied for automated vBMD quantification. Projected maps were used to compare the classification accuracy of AP and lateral scout scans.

resultsThe denoising algorithm led to the minimization of anticorrelated noise in spectral maps and an SNR increase from 5.23 to 13.4 (p < 0.002). Correlation analysis between vBMD and measured AP aBMD, projected AP, and lateral aBMD showed a Pearson correlation coefficient of 0.68, 0.81, and 0.90, respectively. The sensitivity and specificity for the osteoporosis classification task were higher in lateral projection images than in AP crystallizing in an increased area under the curve value of 0.99 versus 0.90.

conclusionDenoised material-specific aBMD maps show a positive correlation to vBMD, enabling spectral scout scans as an opportunistic predictor for osteoporotic patients. This could be applied routinely as a screening tool in patients undergoing a CT examination. RELEVANCE STATEMENT: Scout-based DEXA could be applied routinely as a screening tool in patients undergoing a CT examination. KEY POINTS: • Spectral scout scans can be used as a dual-energy x-ray absorptiometry-like screening tool. • Spectral dictionary denoising on projection images increases the signal-to-noise ratio. • Positive correlation between volumetric and areal bone mineral density is observed. • Lateral projections increase osteoporosis classification accuracy compared to anterior-posterior projections.

Indexed as

Bone DensityOsteoporosisAbsorptiometry, PhotonHumansLumbar VertebraeTomography, X-Ray ComputedAbsorptiometry (photon)Bone densityMusculoskeletal diseasesOsteoporosisTomography (x-ray computed)

Identifiers

PMID37525062
PMCPMC10390397

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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.