Computer Image-Guided Precise Acromioplasty for Reducing the Critical Shoulder Angle

Long, Yi; Hou, Jingyi; Chen, Jian-Fa; Wang, Xiang; Lin, Qi-Sheng; Xiang, Xiaobing; Yang, Rui

doi:10.1016/j.eats.2022.06.026

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…Additionally, accurate pre-operative planning to reduce the CSA can be performed by utilizing 3D-CT. Several research teams have performed pre-operative planning for acromioplasty to accurately reduce excessive CSA (CSA >35 ) to the desired range (30)(31)(32)(33). [17][18][19][20][21][22] However, there is little evidence supporting the accuracy and reliability of CSA measurements from 3D-CT, which impairs clinical decision-making.…”

Section: Introductionmentioning

confidence: 99%

The Critical Shoulder Angle Can be Accurately and Reliably Determined from Three‐Dimensional Computed Tomography Images

Long

Zhou

et al. 2023

Orthopaedic Surgery

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ObjectiveAnteroposterior (AP) radiographs do not necessarily offer the optimal approach to measuring the critical shoulder angle (CSA) due to the malposition of the scapula. Three‐dimensional computed tomography (3D‐CT) may offer some advantages, including the ability to rotate the scapula for position alignment and pre‐operative planning for reducing CSA. This study aimed to investigate the accuracy and reliability of CSA measurement in 3D‐CT and to determine whether there is an association between CSA and rotator cuff tears (RCTs).MethodsIn this retrospective study we identified 200 patients who received shoulder arthroscopy from 2019 to 2021, including 142 patients (81 females, 61 males) with RCTs and 58 patients (14 females, 44 males) with non‐RCTs. For each participant, CSA was measured from standard shoulder AP radiographs and anterior views of 3D‐CT of the scapula by two independent assessors. Inter‐ and intra‐observer agreements were assessed by the intraclass correlation coefficient (ICC). The relationship between the two measurement methodologies was determined by Spearman's correlation coefficient and Bland–Altman plots. Discriminative capacity was calculated by using receiver operating curve (ROC) analyses in the whole cohort and age sub‐groups above and below 45 years.ResultsWe found perfect inter‐observer (ICC >0.96) and intra‐observer (ICC >0.97) reliabilities for CSA measurements obtained from the standard AP radiographs and the 3D‐CT. There was a strong correlation between the two methods (r = 0.960, P < 0.001). The mean CSA was 31.7° ± 4.2° in the standard AP radiographs and 31.8° ± 4.4° in the 3D‐CT (mean difference 0.02°, P = 0.940; bias 0.02°, limits of agreement −2.29° to +2.33°). ROC analysis of the whole cohort showed that the CSA measured in the standard AP radiographs (area under the ROC curve [AUC] = 0.812, P < 0.001) and the 3D‐CT (AUC = 0.815, P < 0.001) predicted RCT with high confidence. ROC analysis of patients aged ≥45 years showed that the CSA measured from the standard AP radiographs (AUC = 0.869, P < 0.001) and the 3D‐CT (AUC = 0.870, P < 0.001) were very good at predicting RCTs.ConclusionCSA measured from standard AP radiographs and 3D‐CT showed high consistency, and the CSA could be accurately and reliably measured using 3D‐CT. CSAs measured from standard AP radiographs and 3D‐CT could predict RCTs, especially in patients aged ≥45 years.

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Section: Introductionmentioning

confidence: 99%

The Critical Shoulder Angle Can be Accurately and Reliably Determined from Three‐Dimensional Computed Tomography Images

Long

Zhou

et al. 2023

Orthopaedic Surgery

View full text Add to dashboard Cite

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Biplanar Acromioplasty: An Arthroscopic Spur Removal Technique Based on Original Bony Landmarks

Wang

Chen

et al. 2023

Arthroscopy Techniques

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Application progress of artificial intelligence and augmented reality in orthopaedic arthroscopy surgery

Chen

2023

J Orthop Surg Res

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In today's rapidly developing technological era, the technological revolution triggered by the rapid iteration of artificial intelligence and augmented reality has provided brand-new digital intelligent empowerment for orthopaedic clinical operation. Although traditional arthroscopy has been widely promoted globally due to its advantages such as minimally invasive, safety and early functional exercise, it still has deficiencies in precision and personalization. The assistance of artificial intelligence and augmented reality enables precise positioning and navigation in arthroscopic surgery, as well as personalized operations based on patient conditions, which lifts the objective limitations of traditional sports medicine surgery. The integration of artificial intelligence and augmented reality with orthopaedic arthroscopy surgery is still in infancy, even though there are still some insufficient to be solved, but its prospect is bright.

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Computer Image-Guided Precise Acromioplasty for Reducing the Critical Shoulder Angle

Cited by 3 publications

References 27 publications

The Critical Shoulder Angle Can be Accurately and Reliably Determined from Three‐Dimensional Computed Tomography Images

The Critical Shoulder Angle Can be Accurately and Reliably Determined from Three‐Dimensional Computed Tomography Images

Biplanar Acromioplasty: An Arthroscopic Spur Removal Technique Based on Original Bony Landmarks

Application progress of artificial intelligence and augmented reality in orthopaedic arthroscopy surgery

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