Evidence map›Paper›PMID 39186171›Full record

ArticleEuropean radiology experimental2024

Assessment of thoracic disc degeneration using dual-energy CT-based collagen maps.

Simon Bernatz, Alexander Tom Hoppe, Leon David Gruenewald, Vitali Koch, Simon S Martin, Lara Engelskirchen, Ivana Radic, Giuseppe Bucolo, Jennifer Gotta, Philipp Reschke and 8 more

Abstract read
In one paragraph

Article in European radiology experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

18 authors.

Simon Bernatz *Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Alexander Tom Hoppe *Institute for Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
Leon David GruenewaldDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Vitali KochDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Simon S MartinDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Lara EngelskirchenDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Ivana RadicDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Giuseppe BucoloDepartment of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy.
Jennifer GottaDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Philipp ReschkeDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Renate M HammerstinglDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Jan-Erik ScholtzDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Tatjana Gruber-RouhDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Katrin EichlerDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Thomas J VoglDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Christian BoozDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Ibrahim YelDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany.
Scherwin MahmoudiDepartment of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Frankfurt am Main, Germany. scherwin.mahmoudi@gmail.com.ORCID http://orcid.org/0000-0002-4020-1873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated the role of dual-energy computed tomography (DECT)-based collagen maps in assessing thoracic disc degeneration.

methodsWe performed a retrospective analysis of patients who underwent DECT and magnetic resonance imaging (MRI) of the thoracic spine within a 2-week period from July 2019 to October 2022. Thoracic disc degeneration was classified by three blinded radiologists into three Pfirrmann categories: no/mild (grade 1-2), moderate (grade 3-4), and severe (grade 5). The DECT performance was determined using MRI as a reference standard. Interreader reliability was assessed using intraclass correlation coefficient (ICC). Five-point Likert scales were used to assess diagnostic confidence and image quality.

resultsIn total, 612 intervertebral discs across 51 patients aged 68 ± 16 years (mean ± standard deviation), 28 males and 23 females, were assessed. MRI revealed 135 no/mildly degenerated discs (22.1%), 470 moderately degenerated discs (76.8%), and 7 severely degenerated discs (1.1%). DECT collagen maps achieved an overall accuracy of 1,483/1,838 (80.8%) for thoracic disc degeneration. Overall recall (sensitivity) was 331/405 (81.7%) for detecting no/mild degeneration, 1,134/1,410 (80.4%) for moderate degeneration, and 18/21 (85.7%) for severe degeneration. Interrater agreement was good (ICC = 0.89). Assessment of DECT-based collagen maps demonstrated high diagnostic confidence (median 4; interquartile range 3-4) and good image quality (median 4; interquartile range 4-4).

conclusionDECT showed an overall 81% accuracy for disc degeneration by visualizing differences in the collagen content of thoracic discs. RELEVANCE STATEMENT: Utilizing DECT-based collagen maps to distinguish various stages of thoracic disc degeneration could be clinically relevant for early detection of disc-related conditions. This approach may be particularly beneficial when MRI is contraindicated. KEY POINTS: A total of 612 intervertebral discs across 51 patients were retrospectively assessed with DECT, using MRI as a reference standard. DECT-based collagen maps allowed thoracic disc degeneration assessment achieving an overall 81% accuracy with good interrater agreement (ICC = 0.89). DECT-based collagen maps could be a good alternative in the case of contraindications to MRI.

Indexed as

CollagenIntervertebral Disc DegenerationMagnetic Resonance ImagingThoracic VertebraeTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesCollagenCollagenIntervertebral disc degenerationMagnetic resonance imagingSpineTomography (x-ray computed)

Identifiers

PMID39186171
PMCPMC11347509

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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.