Diagnostic performance of conventional magnetic resonance imaging for detection and grading of subscapularis tendon tear according to Yoo and Rhee classification system in patients underwent arthroscopic rotator cuff surgery
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ahn, Tae Ran | - |
dc.contributor.author | Yoon, Young Cheol | - |
dc.contributor.author | Yoo, Jae Chul | - |
dc.contributor.author | Kim, Hyun Su | - |
dc.contributor.author | Lee, Ji Hyun | - |
dc.date.accessioned | 2022-01-22T02:40:05Z | - |
dc.date.available | 2022-01-22T02:40:05Z | - |
dc.date.created | 2021-12-05 | - |
dc.date.issued | 2022-03 | - |
dc.identifier.issn | 0364-2348 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/83337 | - |
dc.description.abstract | Objectives: To assess the diagnostic accuracy of conventional MRI for detecting and grading subscapularis (SSC) tears by applying the Yoo and Rhee classification. Materials and methods: A total of 179 patients who underwent MRI followed by arthroscopic rotator cuff surgery were enrolled. Two musculoskeletal radiologists evaluated the SSC using axial, oblique sagittal, and oblique coronal MRI according to the Yoo and Rhee classification. Using arthroscopic findings as the reference standard, the sensitivity, specificity, accuracy, and interobserver agreement of SSC tears were analyzed. Results: Arthroscopy confirmed that the numbers of type I, IIA, IIB, III, IV, and V tears were 35, 70, 35, 9, 9, and 0, respectively. The sensitivity, specificity, and accuracy of readers 1 and 2 for the detection of tears (type IIA or higher) were 85%, 75%, and 82%, and 89%, 70%, and 83%, respectively, while those for the detection of surgical candidates (type IIB or higher) were 77%, 75%, and 75%, and 77%, 83%, and 82%, respectively. The interobserver agreement for detecting SSC tear presence was substantial (κ = 0.70) for reader 1 vs. reader 2, and those for detecting the surgical candidate group was substantial (κ = 0.68) for reader 1 vs. reader 2. The interobserver agreement for grading SSC tears was excellent (κ = 0.86) for reader 1 vs. reader 2. Conclusion: Conventional MRI showed 82.5% and 78.5% average accuracy in detecting IIA and IIB or higher tears by applying the Yoo and Rhee classification for the diagnosis of SSC tears with an excellent interobserver agreement in tear grading. © 2021, ISS. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.isPartOf | Skeletal Radiology | - |
dc.title | Diagnostic performance of conventional magnetic resonance imaging for detection and grading of subscapularis tendon tear according to Yoo and Rhee classification system in patients underwent arthroscopic rotator cuff surgery | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000722544800001 | - |
dc.identifier.doi | 10.1007/s00256-021-03958-7 | - |
dc.identifier.bibliographicCitation | Skeletal Radiology, v.51, no.3, pp.659 - 668 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85119860143 | - |
dc.citation.endPage | 668 | - |
dc.citation.startPage | 659 | - |
dc.citation.title | Skeletal Radiology | - |
dc.citation.volume | 51 | - |
dc.citation.number | 3 | - |
dc.contributor.affiliatedAuthor | Ahn, Tae Ran | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Classification | - |
dc.subject.keywordAuthor | Rotator cuff | - |
dc.subject.keywordAuthor | Sensitivity | - |
dc.subject.keywordAuthor | Specificity | - |
dc.subject.keywordPlus | STRUCTURAL INTEGRITY | - |
dc.subject.keywordPlus | UPPER 3RD | - |
dc.subject.keywordPlus | REPAIR | - |
dc.subject.keywordPlus | ACCURACY | - |
dc.subject.keywordPlus | OUTCOMES | - |
dc.subject.keywordPlus | MUSCLES | - |
dc.relation.journalResearchArea | Orthopedics | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Orthopedics | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.