Cargando…

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

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 cl...

Descripción completa

Detalles Bibliográficos
Autores principales: Gilbert, Fabian, Böhm, Dirk, Eden, Lars, Schmalzl, Jonas, Meffert, Rainer H., Köstler, Herbert, Weng, Andreas M., Ziegler, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994387/
https://www.ncbi.nlm.nih.gov/pubmed/27549160
http://dx.doi.org/10.1186/s12891-016-1216-3
_version_ 1782449320943943680
author Gilbert, Fabian
Böhm, Dirk
Eden, Lars
Schmalzl, Jonas
Meffert, Rainer H.
Köstler, Herbert
Weng, Andreas M.
Ziegler, Dirk
author_facet Gilbert, Fabian
Böhm, Dirk
Eden, Lars
Schmalzl, Jonas
Meffert, Rainer H.
Köstler, Herbert
Weng, Andreas M.
Ziegler, Dirk
author_sort Gilbert, Fabian
collection PubMed
description 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 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.
format Online
Article
Text
id pubmed-4994387
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-49943872016-08-24 Comparing the MRI-based Goutallier Classification to an experimental quantitative MR spectroscopic fat measurement of the supraspinatus muscle Gilbert, Fabian Böhm, Dirk Eden, Lars Schmalzl, Jonas Meffert, Rainer H. Köstler, Herbert Weng, Andreas M. Ziegler, Dirk BMC Musculoskelet Disord Research Article 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 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. BioMed Central 2016-08-22 /pmc/articles/PMC4994387/ /pubmed/27549160 http://dx.doi.org/10.1186/s12891-016-1216-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Gilbert, Fabian
Böhm, Dirk
Eden, Lars
Schmalzl, Jonas
Meffert, Rainer H.
Köstler, Herbert
Weng, Andreas M.
Ziegler, Dirk
Comparing the MRI-based Goutallier Classification to an experimental quantitative MR spectroscopic fat measurement of the supraspinatus muscle
title Comparing the MRI-based Goutallier Classification to an experimental quantitative MR spectroscopic fat measurement of the supraspinatus muscle
title_full Comparing the MRI-based Goutallier Classification to an experimental quantitative MR spectroscopic fat measurement of the supraspinatus muscle
title_fullStr Comparing the MRI-based Goutallier Classification to an experimental quantitative MR spectroscopic fat measurement of the supraspinatus muscle
title_full_unstemmed Comparing the MRI-based Goutallier Classification to an experimental quantitative MR spectroscopic fat measurement of the supraspinatus muscle
title_short Comparing the MRI-based Goutallier Classification to an experimental quantitative MR spectroscopic fat measurement of the supraspinatus muscle
title_sort comparing the mri-based goutallier classification to an experimental quantitative mr spectroscopic fat measurement of the supraspinatus muscle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4994387/
https://www.ncbi.nlm.nih.gov/pubmed/27549160
http://dx.doi.org/10.1186/s12891-016-1216-3
work_keys_str_mv AT gilbertfabian comparingthemribasedgoutallierclassificationtoanexperimentalquantitativemrspectroscopicfatmeasurementofthesupraspinatusmuscle
AT bohmdirk comparingthemribasedgoutallierclassificationtoanexperimentalquantitativemrspectroscopicfatmeasurementofthesupraspinatusmuscle
AT edenlars comparingthemribasedgoutallierclassificationtoanexperimentalquantitativemrspectroscopicfatmeasurementofthesupraspinatusmuscle
AT schmalzljonas comparingthemribasedgoutallierclassificationtoanexperimentalquantitativemrspectroscopicfatmeasurementofthesupraspinatusmuscle
AT meffertrainerh comparingthemribasedgoutallierclassificationtoanexperimentalquantitativemrspectroscopicfatmeasurementofthesupraspinatusmuscle
AT kostlerherbert comparingthemribasedgoutallierclassificationtoanexperimentalquantitativemrspectroscopicfatmeasurementofthesupraspinatusmuscle
AT wengandreasm comparingthemribasedgoutallierclassificationtoanexperimentalquantitativemrspectroscopicfatmeasurementofthesupraspinatusmuscle
AT zieglerdirk comparingthemribasedgoutallierclassificationtoanexperimentalquantitativemrspectroscopicfatmeasurementofthesupraspinatusmuscle