Qualitative analysis of the Supraspinatus muscle fatty infiltration on MRI - Correlation of the Tangent sign with Goutallier grade at the Y view and Medial Scapular border in large retracted rotator cuff tears.

Goutallier classification Rotator cuff tear Supraspinatus tangent sign

Journal

Journal of shoulder and elbow surgery
ISSN: 1532-6500
Titre abrégé: J Shoulder Elbow Surg
Pays: United States
ID NLM: 9206499

Informations de publication

Date de publication:
13 Aug 2024
Historique:
received: 21 02 2024
revised: 25 06 2024
accepted: 27 06 2024
medline: 16 8 2024
pubmed: 16 8 2024
entrez: 15 8 2024
Statut: aheadofprint

Résumé

Surgically repairing rotator cuff tears with a higher extent of fatty infiltration is controversial. Current evidence supports performing rotator cuff repair in patients exhibiting Goutallier stage 3-4 fatty infiltration. However, the presence of retraction complicates accurate assessment using the Goutallier Classification, particularly on the lateral Y-view. A shift towards classifying fatty infiltration in more medial regions may enhance the precision of tissue quality quantification. The objective of this study was to analyze the uniformity of fatty infiltration within the entire supraspinatus muscle using the Goutallier Classification across three scapular Y-view sections and to examine the association between Goutallier grade, tangent sign, and modified Patte stage. A retrospective evaluation was conducted on preoperative magnetic resonance imaging (MRI) scans from a consecutive series of 97 patients who had previously undergone arthroscopic rotator cuff repairs. Three supraspinatus sections on the MRI sagittal plane were identified: the lateral Y-view (section one), a medial section at the suprascapular notch anatomical landmark (section two), and a section 3 cm medial from the suprascapular notch Medial Scapular Body (section three). Goutallier grade, tangent sign, and modified Patte stage were used to evaluate fatty infiltration, muscle atrophy, and tendon retraction, respectively. Section one had the highest Goutallier grade, while section three had the lowest. Intra-observer rest retest reliability analysis showed excellent consistency in all sections with section one (ICC=0.920, 95% CI), section two (ICC=0.917, 95% CI), and section three (ICC=0.923, 95% CI) for Goutallier grade. Inter-observer reliability analysis also revealed excellent consistency in sections one (ICC=0.951, 95% CI), section two (ICC=0.949, 95% CI), and section three (ICC=0.922, 95% CI) for Goutallier grade. A strong correlation was observed between Goutallier grade and modified Patte stage (τb=0.43-0.56, p=0.001), and between Goutallier grade and tangent sign (τb=0.43-0.54, p=0.001) across all sections. The severity of fatty infiltration within the supraspinatus muscle belly is inconsistent, with the lateral portion being the most severe and the medial portion the least severe. Goutallier grade demonstrates a strong correlation with tangent sign and modified Patte stage. This suggests that tendon retraction results in a potential overestimation in the amount of fatty infiltration defining some tears unjustly irreparable when measuring at the traditionally described lateral Y-view position compared with 3cm medial.

Sections du résumé

BACKGROUND BACKGROUND
Surgically repairing rotator cuff tears with a higher extent of fatty infiltration is controversial. Current evidence supports performing rotator cuff repair in patients exhibiting Goutallier stage 3-4 fatty infiltration. However, the presence of retraction complicates accurate assessment using the Goutallier Classification, particularly on the lateral Y-view. A shift towards classifying fatty infiltration in more medial regions may enhance the precision of tissue quality quantification. The objective of this study was to analyze the uniformity of fatty infiltration within the entire supraspinatus muscle using the Goutallier Classification across three scapular Y-view sections and to examine the association between Goutallier grade, tangent sign, and modified Patte stage.
METHODS METHODS
A retrospective evaluation was conducted on preoperative magnetic resonance imaging (MRI) scans from a consecutive series of 97 patients who had previously undergone arthroscopic rotator cuff repairs. Three supraspinatus sections on the MRI sagittal plane were identified: the lateral Y-view (section one), a medial section at the suprascapular notch anatomical landmark (section two), and a section 3 cm medial from the suprascapular notch Medial Scapular Body (section three). Goutallier grade, tangent sign, and modified Patte stage were used to evaluate fatty infiltration, muscle atrophy, and tendon retraction, respectively.
RESULTS RESULTS
Section one had the highest Goutallier grade, while section three had the lowest. Intra-observer rest retest reliability analysis showed excellent consistency in all sections with section one (ICC=0.920, 95% CI), section two (ICC=0.917, 95% CI), and section three (ICC=0.923, 95% CI) for Goutallier grade. Inter-observer reliability analysis also revealed excellent consistency in sections one (ICC=0.951, 95% CI), section two (ICC=0.949, 95% CI), and section three (ICC=0.922, 95% CI) for Goutallier grade. A strong correlation was observed between Goutallier grade and modified Patte stage (τb=0.43-0.56, p=0.001), and between Goutallier grade and tangent sign (τb=0.43-0.54, p=0.001) across all sections.
CONCLUSION CONCLUSIONS
The severity of fatty infiltration within the supraspinatus muscle belly is inconsistent, with the lateral portion being the most severe and the medial portion the least severe. Goutallier grade demonstrates a strong correlation with tangent sign and modified Patte stage. This suggests that tendon retraction results in a potential overestimation in the amount of fatty infiltration defining some tears unjustly irreparable when measuring at the traditionally described lateral Y-view position compared with 3cm medial.

Identifiants

pubmed: 39147270
pii: S1058-2746(24)00563-9
doi: 10.1016/j.jse.2024.06.030
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Shaoyu Xu (S)

50 Lloyd Street, Alderley, Queensland 4051, Australia, Queensland Unit for Advanced Shoulder Research, Queensland University of Technology, Brisbane, Queensland, Australia. Electronic address: jayfromcanton@gmail.com.

Freek Hollman (F)

Queensland Unit for Advanced Shoulder Research, Queensland University of Technology, Brisbane, Queensland, Australia.

Romal C Stewart (RC)

Cellular and Molecular Neurodegeneration Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Ruth Delaney (R)

Queensland Unit for Advanced Shoulder Research, Queensland University of Technology, Brisbane, Queensland, Australia.

Mohammad N Jomaa (MN)

Queensland Unit for Advanced Shoulder Research, Queensland University of Technology, Brisbane, Queensland, Australia.

Helen Ingoe (H)

Queensland Unit for Advanced Shoulder Research, Queensland University of Technology, Brisbane, Queensland, Australia.

Roberto Pareyon (R)

Queensland Unit for Advanced Shoulder Research, Queensland University of Technology, Brisbane, Queensland, Australia.

Ryan Shulman (R)

Queensland Unit for Advanced Shoulder Research, Queensland University of Technology, Brisbane, Queensland, Australia.

Sanjay Dhupelia (S)

Queensland Unit for Advanced Shoulder Research, Queensland University of Technology, Brisbane, Queensland, Australia.

Acrane Y Li (AY)

Queensland Unit for Advanced Shoulder Research, Queensland University of Technology, Brisbane, Queensland, Australia.

Sarah Whitehouse (S)

Faculty of Engineering, Queensland University of Technology, Brisbane, Queensland, Australia.

Jashint Maharaj (J)

ARC Training Centre for Joint Biomechanics, Queensland University of Technology.

Cameron Brown (C)

Faculty of Engineering, Queensland University of Technology.

Peter Pivonka (P)

Faculty of Engineering, Queensland University of Technology.

Ashish Gupta (A)

ARC Training Centre for Joint Biomechanics, Queensland University of Technology.

Classifications MeSH