Download
s41747-020-00177-y.pdf 4,25MB
WeightNameValue
1000 Titel
  • 3D cone-beam CT with a twin robotic x-ray system in elbow imaging: comparison of image quality to high-resolution multidetector CT
1000 Autor/in
  1. Grunz, Jan-Peter |
  2. Weng, Andreas Max |
  3. Kunz, Andreas Steven |
  4. Veyhl-Wichmann, Maike |
  5. Schmitt, Rainer |
  6. Gietzen, Carsten Herbert |
  7. Pennig, Lenhard |
  8. Herz, Stefan |
  9. Ergün, Süleyman |
  10. Bley, Thorsten Alexander |
  11. Gassenmaier, Tobias |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-09-08
1000 Erschienen in
1000 Quellenangabe
  • 4(1):52
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s41747-020-00177-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477066/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!Elbow imaging is challenging with conventional multidetector computed tomography (MDCT), while cone-beam CT (CBCT) provides superior options. We compared intra-individually CBCT versus MDCT image quality in cadaveric elbows.!##!Methods!#!A twin robotic x-ray system with new CBCT mode and a high-resolution clinical MDCT were compared in 16 cadaveric elbows. Both systems were operated with a dedicated low-dose (LD) protocol (equivalent volume CT dose index [CTDI!##!Results!#!The CBCT prototype provided superior subjective image quality compared to MDCT scans (for RD, p ≤ 0.004; for LD, p ≤ 0.001). Image quality was rated very good or excellent in 100% of the cases by both readers for RD CBCT, 100% (R1) and 93.8% (R2) for LD CBCT, 62.6% and 43.8% for RD MDCT, and 0.0% and 0.0% for LD MDCT. Single-measure ICC was 0.95 (95% confidence interval 0.91-0.97; p < 0.001). Software-based assessment supported subjective findings with less 'undecided' pixels in CBCT than dose-equivalent MDCT (p < 0.001). No significant difference was found between LD CBCT and RD MDCT.!##!Conclusions!#!In cadaveric elbow studies, the tested cone-beam CT prototype delivered superior image quality compared to high-end multidetector CT and showed a potential for considerable dose reduction.
1000 Sacherschließung
lokal Elbow joint
lokal Cone-Beam Computed Tomography/instrumentation [MeSH]
lokal Elbow
lokal Humans [MeSH]
lokal Cancellous bone
lokal Elbow/diagnostic imaging [MeSH]
lokal Original Article
lokal Multidetector computed tomography
lokal Multidetector Computed Tomography [MeSH]
lokal Robotics/instrumentation [MeSH]
lokal Cadaver [MeSH]
lokal Imaging, Three-Dimensional [MeSH]
lokal Cone-beam computed tomography
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4524-1620|https://frl.publisso.de/adhoc/uri/V2VuZywgQW5kcmVhcyBNYXg=|https://frl.publisso.de/adhoc/uri/S3VueiwgQW5kcmVhcyBTdGV2ZW4=|https://frl.publisso.de/adhoc/uri/VmV5aGwtV2ljaG1hbm4sIE1haWtl|https://frl.publisso.de/adhoc/uri/U2NobWl0dCwgUmFpbmVy|https://frl.publisso.de/adhoc/uri/R2lldHplbiwgQ2Fyc3RlbiBIZXJiZXJ0|https://frl.publisso.de/adhoc/uri/UGVubmlnLCBMZW5oYXJk|https://frl.publisso.de/adhoc/uri/SGVyeiwgU3RlZmFu|https://frl.publisso.de/adhoc/uri/RXJnw7xuLCBTw7xsZXltYW4=|https://frl.publisso.de/adhoc/uri/QmxleSwgVGhvcnN0ZW4gQWxleGFuZGVy|https://frl.publisso.de/adhoc/uri/R2Fzc2VubWFpZXIsIFRvYmlhcw==
1000 Hinweis
  • DeepGreen-ID: 3e3488d8a94e4945a910802a098e64a9 ; 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:6472350.rdf
1000 Erstellt am 2023-11-18T19:49:00.017+0100
1000 Erstellt von 322
1000 beschreibt frl:6472350
1000 Zuletzt bearbeitet Fri Apr 05 11:59:52 CEST 2024
1000 Objekt bearb. Fri Apr 05 11:59:52 CEST 2024
1000 Vgl. frl:6472350
1000 Oai Id
  1. oai:frl.publisso.de:frl:6472350 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source