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肩袖病变的术中评估与磁共振成像评估以及基于磁共振成像的冈上肌萎缩的两种评估之间的一致性。

Agreement between intraoperative and magnetic resonance imaging assessments of rotator cuff pathology and 2 magnetic resonance imaging-based assessments of supraspinatus muscle atrophy.

作者信息

Ma Jinjin, Sahoo Sambit, Imrey Peter B, Jin Yuxuan, Baker Andrew R, Entezari Vahid, Ho Jason C, Schickendantz Mark S, Farrow Lutul D, Serna Alfred, Iannotti Joseph P, Ricchetti Eric T, Polster Joshua M, Winalski Carl S, Derwin Kathleen A

机构信息

Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA.

Department of Orthopaedic Surgery, Cleveland Clinic, Cleveland, OH, USA.

出版信息

JSES Int. 2022 Sep 14;6(6):948-956. doi: 10.1016/j.jseint.2022.08.014. eCollection 2022 Nov.

Abstract

BACKGROUND

Magnetic resonance imaging (MRI)-based rotator cuff assessment is often qualitative and subjective; few studies have tried to validate such preoperative assessments. This study investigates relationships of preoperative MRI assessments made by conventional approaches to intraoperative findings of tear type, location, and size or MRI-assessed muscle occupation ratio.

METHODS

Intraoperatively, surgeons assessed tear type, location, anterior-posterior (AP) width, and medial-lateral length in 102 rotator cuff repair patients. Two musculoskeletal radiologists independently assessed the preoperative MRI scans for these same parameters and supraspinatus muscle atrophy by both Warner classification and quantitative occupation ratio. Exact agreement proportions, kappa statistics, and correlation coefficients were used to quantify agreement relationships.

RESULTS

Agreement between MRI readers' and surgeons' observations of tear status averaged 93% with κ = 0.38, and that of tear location averaged 77% with κ = 0.50. Concordance correlations of MRI and intraoperative measures of anterior-posterior and medial-lateral tear length averaged 0.59 and 0.56 across readers, respectively. Despite excellent interrater agreement on Warner classification (exact agreement proportion 0.91) and occupation ratio (concordance correlation 0.93) separately, correlations between these 2 measures were -0.54 and -0.64 for the 2 readers, respectively. Patients with Warner grade 0 had occupation ratios ranging from 0.5 to 1.5.

CONCLUSION

Correlations of preoperative MRI tear dimensions and muscle atrophy assessed by conventional approaches with intraoperatively measured tear dimensions and quantitative occupation ratio, respectively, were only fair. Since tear size and muscle atrophy are known strong predictors of outcomes following rotator cuff repair that may influence treatment decisions, surgeons need to be aware of the limitations of MRI methods. Continued development and validation of quantitative preoperative imaging methods to accurately assess these parameters are needed to improve surgical planning and prognosis.

摘要

背景

基于磁共振成像(MRI)的肩袖评估通常是定性和主观的;很少有研究试图验证此类术前评估。本研究调查了通过传统方法进行的术前MRI评估与术中撕裂类型、位置、大小或MRI评估的肌肉占有率之间的关系。

方法

术中,外科医生对102例肩袖修复患者的撕裂类型、位置、前后(AP)宽度和内外侧长度进行了评估。两名肌肉骨骼放射科医生独立评估这些相同参数的术前MRI扫描,并通过Warner分类和定量占有率评估冈上肌萎缩情况。使用精确一致比例、kappa统计量和相关系数来量化一致性关系。

结果

MRI阅片者与外科医生对撕裂状态的观察一致性平均为93%,κ=0.38,撕裂位置的一致性平均为77%,κ=0.50。MRI与术中前后和内外侧撕裂长度测量的一致性相关性在各阅片者中分别平均为0.59和 0.56。尽管在Warner分类(精确一致比例0.91)和占有率(一致性相关性0.93)方面阅片者间一致性良好,但这两种测量方法之间的相关性在两位阅片者中分别为-0.54和-0.64。Warner分级为0级的患者占有率范围为0.5至1.5。

结论

通过传统方法评估的术前MRI撕裂尺寸和肌肉萎缩与术中测量的撕裂尺寸和定量占有率之间的相关性仅为中等。由于撕裂大小和肌肉萎缩是已知的肩袖修复术后结果的强预测因素,可能会影响治疗决策,外科医生需要意识到MRI方法的局限性。需要持续开发和验证定量术前成像方法以准确评估这些参数,以改善手术规划和预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/756d/9637799/f2329c5a1f53/gr1.jpg

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7
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9
Reversibility of Supraspinatus Muscle Atrophy in Tendon-Bone Healing After Arthroscopic Rotator Cuff Repair.
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Visual MRI grading system to evaluate atrophy of the supraspinatus muscle.
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