Download
41747_2024_Article_500.pdf 1,55MB
WeightNameValue
1000 Titel
  • Assessment of thoracic disc degeneration using dual-energy CT-based collagen maps
1000 Autor/in
  1. Bernatz, Simon |
  2. Hoppe, Alexander Tom |
  3. Gruenewald, Leon David |
  4. Koch, Vitali |
  5. Martin, Simon S. |
  6. Engelskirchen, Lara |
  7. Radic, Ivana |
  8. Bucolo, Giuseppe |
  9. Gotta, Jennifer |
  10. Reschke, Philipp |
  11. Hammerstingl, Renate M. |
  12. Scholtz, Jan-Erik |
  13. Gruber-Rouh, Tatjana |
  14. Eichler, Katrin |
  15. Vogl, Thomas J. |
  16. Booz, Christian |
  17. Yel, Ibrahim |
  18. Mahmoudi, Scherwin |
1000 Verlag Springer Vienna
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-08-26
1000 Erschienen in
1000 Quellenangabe
  • 8(1):95
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s41747-024-00500-x |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11347509/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>We evaluated the role of dual-energy computed tomography (DECT)-based collagen maps in assessing thoracic disc degeneration.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>We 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.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>In 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).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>DECT showed an overall 81% accuracy for disc degeneration by visualizing differences in the collagen content of thoracic discs.</jats:p> </jats:sec><jats:sec> <jats:title>Relevance statement</jats:title> <jats:p>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.</jats:p> </jats:sec><jats:sec> <jats:title>Key Points</jats:title> <jats:p><jats:list list-type='bullet'> <jats:list-item> <jats:p>A total of 612 intervertebral discs across 51 patients were retrospectively assessed with DECT, using MRI as a reference standard.</jats:p> </jats:list-item> <jats:list-item> <jats:p>DECT-based collagen maps allowed thoracic disc degeneration assessment achieving an overall 81% accuracy with good interrater agreement (ICC = 0.89).</jats:p> </jats:list-item> <jats:list-item> <jats:p>DECT-based collagen maps could be a good alternative in the case of contraindications to MRI.</jats:p> </jats:list-item> </jats:list></jats:p> </jats:sec><jats:sec> <jats:title>Graphical Abstract</jats:title> </jats:sec>
1000 Sacherschließung
lokal Female [MeSH]
lokal Intervertebral Disc Degeneration/diagnostic imaging [MeSH]
lokal Aged [MeSH]
lokal Collagen [MeSH]
lokal Humans [MeSH]
lokal Retrospective Studies [MeSH]
lokal Tomography (x-ray computed)
lokal Collagen
lokal Middle Aged [MeSH]
lokal Tomography, X-Ray Computed/methods [MeSH]
lokal Original Article
lokal Thoracic Vertebrae/diagnostic imaging [MeSH]
lokal Male [MeSH]
lokal Reproducibility of Results [MeSH]
lokal Spine
lokal Magnetic resonance imaging
lokal Magnetic Resonance Imaging/methods [MeSH]
lokal Intervertebral disc degeneration
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/QmVybmF0eiwgU2ltb24=|https://frl.publisso.de/adhoc/uri/SG9wcGUsIEFsZXhhbmRlciBUb20=|https://frl.publisso.de/adhoc/uri/R3J1ZW5ld2FsZCwgTGVvbiBEYXZpZA==|https://frl.publisso.de/adhoc/uri/S29jaCwgVml0YWxp|https://frl.publisso.de/adhoc/uri/TWFydGluLCBTaW1vbiBTLg==|https://frl.publisso.de/adhoc/uri/RW5nZWxza2lyY2hlbiwgTGFyYQ==|https://frl.publisso.de/adhoc/uri/UmFkaWMsIEl2YW5h|https://frl.publisso.de/adhoc/uri/QnVjb2xvLCBHaXVzZXBwZQ==|https://frl.publisso.de/adhoc/uri/R290dGEsIEplbm5pZmVy|https://frl.publisso.de/adhoc/uri/UmVzY2hrZSwgUGhpbGlwcA==|https://frl.publisso.de/adhoc/uri/SGFtbWVyc3RpbmdsLCBSZW5hdGUgTS4=|https://frl.publisso.de/adhoc/uri/U2Nob2x0eiwgSmFuLUVyaWs=|https://frl.publisso.de/adhoc/uri/R3J1YmVyLVJvdWgsIFRhdGphbmE=|https://frl.publisso.de/adhoc/uri/RWljaGxlciwgS2F0cmlu|https://frl.publisso.de/adhoc/uri/Vm9nbCwgVGhvbWFzIEou|https://frl.publisso.de/adhoc/uri/Qm9veiwgQ2hyaXN0aWFu|https://frl.publisso.de/adhoc/uri/WWVsLCBJYnJhaGlt|https://orcid.org/0000-0002-4020-1873
1000 Hinweis
  • DeepGreen-ID: 2584843e09f3466292e56c53c362014f ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6509623.rdf
1000 Erstellt am 2025-02-06T20:53:21.319+0100
1000 Erstellt von 322
1000 beschreibt frl:6509623
1000 Zuletzt bearbeitet 2025-08-15T20:06:24.839+0200
1000 Objekt bearb. Fri Aug 15 20:06:24 CEST 2025
1000 Vgl. frl:6509623
1000 Oai Id
  1. oai:frl.publisso.de:frl:6509623 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source