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1000 Titel
  • Evaluation of MR-derived simulated CT-like images and simulated radiographs compared to conventional radiography in patients with shoulder pain: a proof-of-concept study
1000 Autor/in
  1. Feuerriegel, Georg C. |
  2. Kopp, Felix K. |
  3. Pfeiffer, Daniela |
  4. Pogorzelski, Jonas |
  5. Wurm, Markus |
  6. Leonhardt, Yannik |
  7. Boehm, Christof |
  8. Kronthaler, Sophia |
  9. Karampinos, Dimitrios C. |
  10. Neumann, Jan |
  11. Schwaiger, Benedikt J. |
  12. Makowski, Marcus R. |
  13. Woertler, Klaus |
  14. Gersing, Alexandra S. |
1000 Verlag
  • BioMed Central
1000 Erscheinungsjahr 2022
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-02-05
1000 Erschienen in
1000 Quellenangabe
  • 23(1):122
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12891-022-05076-4 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818249/ |
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>To evaluate the diagnostic value of MR-derived CT-like images and simulated radiographs compared with conventional radiographs in patients with suspected shoulder pathology.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>3 T MRI of the shoulder including a 3D T1-weighted gradient echo sequence was performed in 25 patients (mean age 52.4 ± 18 years, 13 women) with suspected shoulder pathology. Subsequently a cone-beam forward projection algorithm was used to obtain intensity-inverted CT-like images and simulated radiographs. Two radiologists evaluated the simulated images separately and independently using the conventional radiographs as the standard of reference, including measurements of the image quality, acromiohumeral distance, critical shoulder angle, degenerative joint changes and the acromial type. Additionally, the CT-like MR images were evaluated for glenoid defects, subcortical cysts and calcifications. Agreement between the MR-derived simulated radiographs and conventional radiographs was calculated using Cohen’s Kappa.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Measurements on simulated radiographs and conventional radiographs overall showed a substantial to almost perfect inter- and intra-rater agreement (κ = 0.69–1.00 and κ = 0.65–0.85, respectively). Image quality of the simulated radiographs was rated good to excellent (1.6 ± 0.7 and 1.8 ± 0.6, respectively) by the radiologists. A substantial agreement was found regarding diagnostically relevant features, assessed on Y- and anteroposterior projections (κ = 0.84 and κ = 0.69 for the measurement of the CSA; κ = 0.95 and κ = 0.60 for the measurement of the AHD; κ = 0.77 and κ = 0.77 for grading of the Samilson-Prieto classification; κ = 0.83 and κ = 0.67 for the grading of the Bigliani classification, respectively).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>In this proof-of-concept study, clinically relevant features of the shoulder joint were assessed reliably using MR-derived CT-like images and simulated radiographs with an image quality equivalent to conventional radiographs. MR-derived CT-like images and simulated radiographs may provide useful diagnostic information while reducing the amount of radiation exposure.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Female [MeSH]
lokal Radiography [MeSH]
lokal Aged [MeSH]
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Middle Aged [MeSH]
lokal Acromion [MeSH]
lokal Radiography
lokal Tomography
lokal Tomography, X-Ray Computed [MeSH]
lokal Magnetic Resonance Imaging [MeSH]
lokal X-ray computed
lokal Reproducibility of Results [MeSH]
lokal Research
lokal Shoulder joint
lokal Magnetic resonance imaging
lokal Radiation-free radiography
lokal Shoulder Pain/diagnostic imaging [MeSH]
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RmV1ZXJyaWVnZWwsIEdlb3JnIEMu|https://frl.publisso.de/adhoc/uri/S29wcCwgRmVsaXggSy4=|https://frl.publisso.de/adhoc/uri/UGZlaWZmZXIsIERhbmllbGE=|https://frl.publisso.de/adhoc/uri/UG9nb3J6ZWxza2ksIEpvbmFz|https://frl.publisso.de/adhoc/uri/V3VybSwgTWFya3Vz|https://frl.publisso.de/adhoc/uri/TGVvbmhhcmR0LCBZYW5uaWs=|https://frl.publisso.de/adhoc/uri/Qm9laG0sIENocmlzdG9m|https://frl.publisso.de/adhoc/uri/S3JvbnRoYWxlciwgU29waGlh|https://frl.publisso.de/adhoc/uri/S2FyYW1waW5vcywgRGltaXRyaW9zIEMu|https://frl.publisso.de/adhoc/uri/TmV1bWFubiwgSmFu|https://frl.publisso.de/adhoc/uri/U2Nod2FpZ2VyLCBCZW5lZGlrdCBKLg==|https://frl.publisso.de/adhoc/uri/TWFrb3dza2ksIE1hcmN1cyBSLg==|https://frl.publisso.de/adhoc/uri/V29lcnRsZXIsIEtsYXVz|https://frl.publisso.de/adhoc/uri/R2Vyc2luZywgQWxleGFuZHJhIFMu
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  1. Technische Universität München |
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    1000 Förderer Technische Universität München |
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