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Comparing the MRI-based Goutallier Classification to an experimental quantitative MR spectroscopic fat measurement of the supraspinatus muscle

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-147788
  • Background The Goutallier Classification is a semi quantitative classification system to determine the amount of fatty degeneration in rotator cuff muscles. Although initially proposed for axial computer tomography scans it is currently applied to magnet-resonance-imaging-scans. The role for its clinical use is controversial, as the reliability of the classification has been shown to be inconsistent. The purpose of this study was to compare the semi quantitative MRI-based Goutallier Classification applied by 5 different raters toBackground The Goutallier Classification is a semi quantitative classification system to determine the amount of fatty degeneration in rotator cuff muscles. Although initially proposed for axial computer tomography scans it is currently applied to magnet-resonance-imaging-scans. The role for its clinical use is controversial, as the reliability of the classification has been shown to be inconsistent. The purpose of this study was to compare the semi quantitative MRI-based Goutallier Classification applied by 5 different raters to experimental MR spectroscopic quantitative fat measurement in order to determine the correlation between this classification system and the true extent of fatty degeneration shown by spectroscopy. Methods MRI-scans of 42 patients with rotator cuff tears were examined by 5 shoulder surgeons and were graduated according to the MRI-based Goutallier Classification proposed by Fuchs et al. Additionally the fat/water ratio was measured with MR spectroscopy using the experimental SPLASH technique. The semi quantitative grading according to the Goutallier Classification was statistically correlated with the quantitative measured fat/water ratio using Spearman’s rank correlation. Results Statistical analysis of the data revealed only fair correlation of the Goutallier Classification system and the quantitative fat/water ratio with R = 0.35 (p < 0.05). By dichotomizing the scale the correlation was 0.72. The interobserver and intraobserver reliabilities were substantial with R = 0.62 and R = 0.74 (p < 0.01). Conclusion The correlation between the semi quantitative MRI based Goutallier Classification system and MR spectroscopic fat measurement is weak. As an adequate estimation of fatty degeneration based on standard MRI may not be possible, quantitative methods need to be considered in order to increase diagnostic safety and thus provide patients with ideal care in regard to the amount of fatty degeneration. Spectroscopic MR measurement may increase the accuracy of the Goutallier classification and thus improve the prediction of clinical results after rotator cuff repair. However, these techniques are currently only available in an experimental setting.zeige mehrzeige weniger

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Metadaten
Autor(en): Fabian Gilbert, Dirk Böhm, Lars Eden, Jonas Schmalzl, Rainer H. Meffert, Herbert Köstler, Andreas M. Weng, Dirk Ziegler
URN:urn:nbn:de:bvb:20-opus-147788
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Medizinische Fakultät / Institut für diagnostische und interventionelle Radiologie (Institut für Röntgendiagnostik)
Medizinische Fakultät / Klinik und Poliklinik für Unfall-, Hand-, Plastische und Wiederherstellungschirurgie (Chirurgische Klinik II)
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):BMC Musculoskeletal Disorders
Erscheinungsjahr:2016
Band / Jahrgang:17
Heft / Ausgabe:355
Originalveröffentlichung / Quelle:BMC Musculoskeletal Disorders (2016) 17:355 DOI 10.1186/s12891-016-1216-3
DOI:https://doi.org/10.1186/s12891-016-1216-3
Allgemeine fachliche Zuordnung (DDC-Klassifikation):6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 617 Chirurgie und verwandte medizinische Fachrichtungen
Freie Schlagwort(e):MRI; classification; goutallier; rotator cuff; shoulder surgery; spectroscopy
Datum der Freischaltung:19.05.2017
Sammlungen:Open-Access-Publikationsfonds / Förderzeitraum 2016
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung