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POSTERIOR CAPSULE EDEMA IN
ADHESIVE CAPSULITIS: COMPARISON
WITH ESTABLISHED NON-CONTRAST MRI
FINDINGS AND MULTIVARIABLE ANALYSIS
Abdillah Budi Ksatria
211231007
Introduction
• 1.The study aimed to evaluate the presence of posterior glenohumeral capsule edema in
comparison to other MRI findings in adhesive capsulitis (AC).
• 2.The study involved a retrospective search for subjects who received fluoroscopically
guided intra-articular corticosteroid injections for AC and had an MRI within 6 months
prior to the injection.
• 3.The study group was compared with a control group who underwent similar procedures
but did not have AC.
• 4. Results indicated that posterior capsule edema, coracohumeral ligament (CHL) edema,
and axillary pouch (glenoid) thickness were significant independent predictors ofAC.
• 5.The study concluded that posterior joint capsule edema may be helpful to confirmAC,
and the combined presence of posterior capsular edema, axillary pouch (glenoid)
thickness, and CHL edema was highly predictive for adhesive capsulitis on MRI.
Materials and Methods
• - Initial search yielded 273 fluoroscopically guided glenohumeral injections
• - 107 injections for adhesive capsulitis, 57 met inclusion/exclusion criteria
• - Inclusion: non-contrast MRI within 6 months prior to injection
• - Exclusion: full-thickness rotator cuff tear, severe glenohumeral arthritis, acromioclavicular osteoarthritis, displaced
labral tears, calcific tendinitis, fracture/trauma, prior shoulder surgery
• - Control group matched for age, sex, and side from 489 non-contrast shoulder MRI patients
• - Exclusion criteria for control group: history of adhesive capsulitis, similar MRI findings as adhesive capsulitis group
• - MRIs performed on GE Healthcare and Siemens 1.5- and 3-T magnets
• - Qualitative and quantitative variables analyzed by two musculoskeletal radiologists
• - Interobserver agreement calculated using ICC for continuous variables and Kappa for categorical variables
• - Statistical analysis includedT-test, Chi-square test, Fisher’s exact test, logistic regression, ROC curve, and AUC
calculation
StatisticalAnalysis
• -The statistical analysis included comparisons between cases and controls using Student'sT-test for
continuous data and Chi-square or Fisher's exact test for categorical data.
• - A two-tailed p-value of < 0.05 was considered statistically significant in the analysis.- Optimal cutoff
values for quantitative variables were determined by maximizingYouden's J index to balance sensitivity
and specificity.
• - Multivariable logistic regression analysis was performed, including variables with p < 0.05 from the
univariate comparison of cases and controls.
• - A receiver operating characteristic (ROC) curve was plotted using significant predictors from the
multivariable logistic regression, with an area under the curve (AUC) calculated to assess the model's
predictive accuracy.
• -The statistical analysis aimed to identify significant independent predictors of adhesive capsulitis and
evaluate the diagnostic performance of the combined MRI findings in distinguishing cases from controls.
• -The study's statistical approach provided a robust framework for analyzing the MRI data and determining
the predictive value of posterior capsule edema, CHL edema, and axillary pouch thickness in diagnosing
adhesive capsulitis.
Results
• - 57 subjects with adhesive capsulitis and 57 matched controls
• - Mean age 52 ± 7 years, 37 females and 20 males, 22 right and 35 left shoulders
• - Posterior capsule edema present in 38/57 (66.7%) in adhesive capsulitis group vs.
10/57 (17.5%) in control group (p < 0.001)
• - RI fat replacement most common qualitative finding in adhesive capsulitis group
(68.4%)
• - All established qualitative MRI findings more common in adhesive capsulitis
group except teres minor atrophy
• - Subcoracoid fat replacement and teres minor edema more common in adhesive
capsulitis group, but not statistically significant
Discussion
• - Posterior capsule edema, along with coracohumeral ligament (CHL) edema and axillary pouch (glenoid) thickness, were significant independent
predictors of adhesive capsulitis.
• -The combination of these variables produced a strong model for distinguishing cases of adhesive capsulitis from controls, with an area under the curve
(AUC) of 0.860.
• - Optimal cutoff values for CHL, axillary pouch (humeral), axillary pouch (glenoid), and axillary pouch (total) thickness were identified.- Posterior capsule
edema demonstrated a sensitivity of 66.7% and a specificity of 82.5% for detecting adhesive capsulitis.
• -The study emphasizes the clinical relevance of posterior capsule edema as an imaging marker for capsulitis, aiding in the differentiation of patients
with adhesive capsulitis from those without.
• - Interobserver agreement for posterior capsule and axillary pouch edema was substantial, enhancing the reliability of these MRI findings.
• -The pathogenesis of adhesive capsulitis involves inflammatory contracture of the shoulder joint capsule, supported by findings of synovial
proliferation and hypervascular changes in the axillary pouch.
• - Prior literature has also highlighted the involvement of the posterior capsule in adhesive capsulitis, further validating the significance of posterior
capsule edema as a diagnostic marker.
• - Limitations of the study include the lack of pathological confirmation of inflammation in the posterior capsule and the retrospective nature of patient
selection, which could introduce bias.
• - Despite these limitations, the study concludes that posterior joint capsule edema is a valuable MRI finding for diagnosing adhesive capsulitis,
especially when combined with other significant predictors like axillary pouch thickness and CHL edema.
Posterior capsule edema in adhesive capsulitis.pptx
Posterior capsule edema in adhesive capsulitis.pptx
Posterior capsule edema in adhesive capsulitis.pptx
Posterior capsule edema in adhesive capsulitis.pptx

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Posterior capsule edema in adhesive capsulitis.pptx

  • 1. POSTERIOR CAPSULE EDEMA IN ADHESIVE CAPSULITIS: COMPARISON WITH ESTABLISHED NON-CONTRAST MRI FINDINGS AND MULTIVARIABLE ANALYSIS Abdillah Budi Ksatria 211231007
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  • 3. Introduction • 1.The study aimed to evaluate the presence of posterior glenohumeral capsule edema in comparison to other MRI findings in adhesive capsulitis (AC). • 2.The study involved a retrospective search for subjects who received fluoroscopically guided intra-articular corticosteroid injections for AC and had an MRI within 6 months prior to the injection. • 3.The study group was compared with a control group who underwent similar procedures but did not have AC. • 4. Results indicated that posterior capsule edema, coracohumeral ligament (CHL) edema, and axillary pouch (glenoid) thickness were significant independent predictors ofAC. • 5.The study concluded that posterior joint capsule edema may be helpful to confirmAC, and the combined presence of posterior capsular edema, axillary pouch (glenoid) thickness, and CHL edema was highly predictive for adhesive capsulitis on MRI.
  • 4. Materials and Methods • - Initial search yielded 273 fluoroscopically guided glenohumeral injections • - 107 injections for adhesive capsulitis, 57 met inclusion/exclusion criteria • - Inclusion: non-contrast MRI within 6 months prior to injection • - Exclusion: full-thickness rotator cuff tear, severe glenohumeral arthritis, acromioclavicular osteoarthritis, displaced labral tears, calcific tendinitis, fracture/trauma, prior shoulder surgery • - Control group matched for age, sex, and side from 489 non-contrast shoulder MRI patients • - Exclusion criteria for control group: history of adhesive capsulitis, similar MRI findings as adhesive capsulitis group • - MRIs performed on GE Healthcare and Siemens 1.5- and 3-T magnets • - Qualitative and quantitative variables analyzed by two musculoskeletal radiologists • - Interobserver agreement calculated using ICC for continuous variables and Kappa for categorical variables • - Statistical analysis includedT-test, Chi-square test, Fisher’s exact test, logistic regression, ROC curve, and AUC calculation
  • 5. StatisticalAnalysis • -The statistical analysis included comparisons between cases and controls using Student'sT-test for continuous data and Chi-square or Fisher's exact test for categorical data. • - A two-tailed p-value of < 0.05 was considered statistically significant in the analysis.- Optimal cutoff values for quantitative variables were determined by maximizingYouden's J index to balance sensitivity and specificity. • - Multivariable logistic regression analysis was performed, including variables with p < 0.05 from the univariate comparison of cases and controls. • - A receiver operating characteristic (ROC) curve was plotted using significant predictors from the multivariable logistic regression, with an area under the curve (AUC) calculated to assess the model's predictive accuracy. • -The statistical analysis aimed to identify significant independent predictors of adhesive capsulitis and evaluate the diagnostic performance of the combined MRI findings in distinguishing cases from controls. • -The study's statistical approach provided a robust framework for analyzing the MRI data and determining the predictive value of posterior capsule edema, CHL edema, and axillary pouch thickness in diagnosing adhesive capsulitis.
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  • 9. Results • - 57 subjects with adhesive capsulitis and 57 matched controls • - Mean age 52 ± 7 years, 37 females and 20 males, 22 right and 35 left shoulders • - Posterior capsule edema present in 38/57 (66.7%) in adhesive capsulitis group vs. 10/57 (17.5%) in control group (p < 0.001) • - RI fat replacement most common qualitative finding in adhesive capsulitis group (68.4%) • - All established qualitative MRI findings more common in adhesive capsulitis group except teres minor atrophy • - Subcoracoid fat replacement and teres minor edema more common in adhesive capsulitis group, but not statistically significant
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  • 14. Discussion • - Posterior capsule edema, along with coracohumeral ligament (CHL) edema and axillary pouch (glenoid) thickness, were significant independent predictors of adhesive capsulitis. • -The combination of these variables produced a strong model for distinguishing cases of adhesive capsulitis from controls, with an area under the curve (AUC) of 0.860. • - Optimal cutoff values for CHL, axillary pouch (humeral), axillary pouch (glenoid), and axillary pouch (total) thickness were identified.- Posterior capsule edema demonstrated a sensitivity of 66.7% and a specificity of 82.5% for detecting adhesive capsulitis. • -The study emphasizes the clinical relevance of posterior capsule edema as an imaging marker for capsulitis, aiding in the differentiation of patients with adhesive capsulitis from those without. • - Interobserver agreement for posterior capsule and axillary pouch edema was substantial, enhancing the reliability of these MRI findings. • -The pathogenesis of adhesive capsulitis involves inflammatory contracture of the shoulder joint capsule, supported by findings of synovial proliferation and hypervascular changes in the axillary pouch. • - Prior literature has also highlighted the involvement of the posterior capsule in adhesive capsulitis, further validating the significance of posterior capsule edema as a diagnostic marker. • - Limitations of the study include the lack of pathological confirmation of inflammation in the posterior capsule and the retrospective nature of patient selection, which could introduce bias. • - Despite these limitations, the study concludes that posterior joint capsule edema is a valuable MRI finding for diagnosing adhesive capsulitis, especially when combined with other significant predictors like axillary pouch thickness and CHL edema.

Editor's Notes

  1. - Qualitative variables compared between adhesive capsulitis group (n=57) and controls (n=57) - Posterior capsule edema: 38 cases vs. 10 controls (p < 0.001) - Axillary pouch edema: 31 cases vs. 5 controls (p < 0.001) - Anterior capsule edema: 39 cases vs. 15 controls (p < 0.001) - CHL edema: 30 cases vs. 3 controls (p < 0.001) - RI edema: 33 cases vs. 12 controls (p < 0.001) - RI replacement: 39 cases vs. 23 controls (p = 0.005) - Subcoracoid fat replacement: 26 cases vs. 18 controls (p = 0.178) - Teres minor atrophy: 1 case vs. 3 controls (p = 0.618) - Teres minor edema: 1 case vs. 0 controls (p = 0.999)
  2. - Sensitivity and specificity for qualitative variables compared between current study and existing literature - Posterior capsule edema: Sensitivity 67% in current study, specificity 83% - Axillary pouch edema: Sensitivity 54% in current study, specificity 91% - Anterior capsule edema: Sensitivity 68% in current study, specificity 74% - CHL edema: Sensitivity 53% in current study, specificity 95% - RI edema: Sensitivity 58% in current study, specificity 79% - RI replacement: Sensitivity 68% in current study, specificity 60% - Subcoracoid fat replacement: Sensitivity 46% in current study, specificity 68% - Teres minor atrophy and edema had low sensitivity in both current study and literature
  3. - Optimal cutoff values for CHL and axillary pouch thickness determined - Axillary pouch (total) thickness ≥ 6.3 mm had highest sensitivity (77%) - Axillary pouch (humeral) thickness ≥ 2.6 mm had highest specificity (79%) - Proposed cutoff values differed from prior literature - Sensitivity and specificity values varied for different quantitative variables - Measurement techniques for axillary pouch thickness varied in prior studies
  4. - Fig. 1A: - It is a sagittal oblique proton density image through the level of the glenoid. - The image demonstrates conventional glenoid clock face labeling with the anterior representing 3 o’clock. - The posterior capsule is depicted as being from 7 o’clock to 11 o’clock. - Fig. 1B: - It is a sagittal oblique T2-weighted fat-suppressed image of the shoulder through the glenoid. - The image shows posterior capsule edema indicated by long arrows. - Posterior capsule edema extends from the posterior/superior to posterior/inferior capsule. - Additionally, inferior capsular edema and thickening are noted by a short arrow, along with rotator interval edema marked by an arrowhead.
  5. - Fig. 2 consists of two parts: A and B. - Part A of Fig. 2 is a coronal oblique T2-weighted fat-suppressed image at the level of the anterior band of the inferior glenohumeral ligament. - It demonstrates significant thickening of the inferior glenohumeral ligament (IGHL) with adjacent axillary pouch edema extending along the inferior glenoid. - Part B of Fig. 2 is a sagittal oblique T2-weighted fat-suppressed image at the level of the rotator interval. - It shows coracohumeral ligament edema and thickening with adjacent rotator interval edema, delineated by arrows. - Pericapsular edema involving the superior and posterior/superior capsule is also visible in this image.
  6. - Fig. 3 consists of three parts: A, B, and C. - Part A of Fig. 3 is a sagittal oblique T1-weighted image showing normal fat signal intensity in the rotator interval. - It defines the normal appearance of the rotator interval with the presence of the coracohumeral and coracoacromial ligaments. - Part B of Fig. 3 displays a sagittal oblique T1-weighted image demonstrating partial replacement of the fat signal intensity in the rotator interval. - It shows thickened coracohumeral ligament and normal coracoacromial ligament. - Part C of Fig. 3 exhibits a sagittal oblique T1-weighted image illustrating complete replacement of the fat signal intensity in the rotator interval. - It also shows thickened coracohumeral ligament and normal coracoacromial ligament, indicating a more advanced pathology compared to Part B.
  7. - Fig. 4A: This image shows a sagittal oblique view of the shoulder joint with a focus on identifying and measuring the coracohumeral ligament (CHL) thickness. The CHL is a key structure in the shoulder joint, and its thickness is being assessed as a quantitative variable in the study.- Fig. 4B: This image displays a sagittal oblique T2-weighted fat-suppressed MRI image of the shoulder joint, highlighting posterior capsule edema. The increased T2 signal involving the posterior capsule or adjacent soft tissues is indicative of posterior capsule edema, a significant MRI finding in adhesive capsulitis. This image helps visualize the presence of posterior capsule edema, which is a key diagnostic marker for the condition.
  8. - Mean and standard deviation presented for quantitative variables in adhesive capsulitis group and control group - CHL thickness: 3.16 ± 1.19 mm in adhesive capsulitis group, 2.64 ± 0.75 mm in control group (p = 0.006) - Axillary pouch (humeral) thickness: 3.05 ± 0.98 mm in adhesive capsulitis group, 2.44 ± 0.68 mm in control group (p < 0.001) - Axillary pouch (glenoid) thickness: 4.05 ± 1.16 mm in adhesive capsulitis group, 3.38 ± 0.87 mm in control group (p < 0.001) - Axillary pouch (total) thickness: 7.05 ± 1.98 mm in adhesive capsulitis group, 5.98 ± 1.57 mm in control group (p = 0.002) - Anterior capsule thickness: 3.77 ± 0.98 mm in adhesive capsulitis group, 3.38 ± 0.87 mm in control group (p = 0.051)
  9. - Table 7 presents a simplified multivariable logistic regression analysis of adhesive capsulitis, focusing on three key variables: posterior capsule edema, axillary pouch (glenoid) thickness, and coracohumeral ligament edema.- The model in Table 7 includes these variables as predictors of adhesive capsulitis and assesses their combined predictive value for the condition.- The area under the ROC curve (AUC) for the model is reported as 0, indicating the model's ability to discriminate between cases of adhesive capsulitis and controls.- The table likely provides information on the coefficients or odds ratios associated with each predictor variable, indicating their individual contributions to the model's predictive performance.- By including these specific variables in the logistic regression analysis, the table aims to identify the most significant MRI findings associated with adhesive capsulitis and their potential role in diagnosing the condition.
  10. - Table 8 likely presents the interobserver agreement results for specific MRI findings related to adhesive capsulitis.- The table may include kappa values, which measure the level of agreement between different observers or readers interpreting the MRI images.- Kappa values assess the consistency or reliability of identifying certain features such as posterior capsule edema, axillary pouch edema, and other relevant findings.- Higher kappa values indicate stronger agreement between observers in recognizing the presence or absence of these MRI features associated with adhesive capsulitis.- The interobserver agreement results in Table 8 provide insights into the reliability of MRI interpretation for diagnosing adhesive capsulitis and the consistency of identifying key imaging markers among different readers.
  11. - ICC used to calculate interobserver agreement for continuous variables - Kappa used to calculate interobserver agreement for categorical variables - ICC agreement categorized as poor (ICC < 0.5), moderate (0.5 ≤ ICC ≤ 0.75), good (0.75 < ICC ≤ 0.9), or excellent (ICC > 0.9) - Kappa agreement categorized as no agreement (k < 0.00), slight (0.01 ≤ k ≤ 0.20), fair (0.21 ≤ k ≤ 0.40), moderate (0.41 ≤ k ≤ 0.60), substantial (0.61 ≤ k ≤ 0.80), or almost perfect (0.81 ≤ k ≤ 1.00) - CHL thickness had good agreement (ICC = 0.79) - Axillary pouch (humeral) thickness had good agreement (ICC = 0.85) - Axillary pouch (glenoid) thickness had good agreement (ICC = 0.84) - Axillary pouch (total) thickness had excellent agreement (ICC = 0.90) - Anterior capsule thickness had excellent agreement (ICC = 0.96)