Another Assessment of Fat Degeneration of Retracted Supraspinatus Muscle

BACKGROUND: The purpose of this study was to assess the relevance of preoperative magnetic resonance imaging (MRI) evaluation by occupation ratio (OR) at maximum diameter of supraspinatus muscle.METHODS: Patients from the Inje University Sanggye Paik Hospital who received rotator cuff repair and underwent pre- and postoperative MRI were selected as subjects of this study. On T1-weighted MRIs, OR of fat and muscle at Y-shaped view, OR at a location on supraspinatus muscle where its diameter was maximum on coronal view, and pre- and postoperative Goutallier Classification and changes in the tangent sign were measured. Statistical significance of postoperative OR was assessed regarding time from symptom onset to surgery, size of rotator cuff tear, preoperative OR, and the difference between ORs measured at maximum diameter of supraspinatus muscle and Y-shaped view.RESULTS: Preoperative OR at Y-shaped view was 52.28 ± 8.57 (32.5?65.3). Preoperative OR difference between maximum diameter and Y-shaped view was 13.76 ± 10.51 (2.38?42.04), and Pearson correlation coefficient was 0.604 (p=0.001). Postoperative OR at Y-shaped view was 63.77 ± 9.35 (37.3?76.1). Pearson correlation coefficient of pre- and postoperative Goutallier Classification was ?0.579 (p=0.002) and Pearson correlation coefficient of the postoperative difference between ORs measured at maximum diameter of supraspinatus muscle and Y-shaped view was ?0.386 (p=0.047).CONCLUSIONS: Fatty degeneration of supraspinatus muscle in rotator cuff tear patients should be evaluated not only in the conventional Y-shaped view, but also at location of maximum diameter of supraspinatus muscle to establish patients' therapeutic plan.

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DOES HYPERCHOLESTOLEMIA PREDISPOSE TO ROTATOR CUFF PATHOLOGIES?

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2017.v10i4.16883 ◽

2017 ◽

Vol 10 (4) ◽

pp. 373 ◽

Cited By ~ 1

Author(s):

Surendra Umesh Kamath ◽

Sunil Murthy

Keyword(s):

Rotator Cuff ◽

Total Cholesterol ◽

Rotator Cuff Tear ◽

Indian Population ◽

Statistical Significance ◽

Elevated Serum ◽

Density Lipoprotein ◽

Rotator Cuff Tears ◽

Control Group ◽

Cuff Tear

Background: Rotator cuff tear are one of most common orthopedic musculoskeletal problem gaining importance due to large health scale expenditure. Causes of rotator cuff tears are multifactorial and unclear. Previous studies have suggested relation between elevated serum lipid profile and rotator cuff tear in western population. We therefore undertook study in our Indian population to correlate association of hypercholesterolemia with rotator cuff tear.Objective: To find association of rotator cuff pathology with hypercholesterolemia in Indian patients.Materials and methods: After obtaining clearance from institutional ethics committee. We prospectively collected fasting lipid samples of population who came to our hospitals with complaints of shoulder pain during our study period. 50 patients had rupture of rotator cuff which was confirmed by ultrasound of involved shoulder. 50 were seen for non-cuff related complaints. We followed strict inclusion and exclusion criteria.Results: Total cholesterol, Triglycerides and low density lipoprotein concentration of patients with rotator cuff tendon tear were on higher side than control group. High density lipoprotein trend showed being lower than control group. 21 of 50 (42%) had high cholesterol (total cholesterol greater than 240mg/dl) than compared to 18 of 50 (36%) in control group. however P value=0.539 and showed no statistical significance between groups.Conclusion: In Indian population there was no correlation between hypercholesterolemia and rotator cuff tear which is statistically significant.Key words Rotator cuff tear, Hypercholesterolemia, Indian population.

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The inflammatory response of the supraspinatus muscle in rotator cuff tear conditions.

Journal of Shoulder and Elbow Surgery ◽

10.1016/j.jse.2020.08.028 ◽

2020 ◽

Author(s):

Lars Henrik Frich ◽

Livia Rosa Fernandes ◽

Henrik Daa Schrøder ◽

Eva Kildall Hejbøl ◽

Pernille Vinther Nielsen ◽

...

Keyword(s):

Rotator Cuff ◽

Inflammatory Response ◽

Rotator Cuff Tear ◽

Supraspinatus Muscle ◽

Cuff Tear

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Shear wave sonoelastography of supraspinatus muscle in patients with rotator cuff tear

Annals of Physical and Rehabilitation Medicine ◽

10.1016/j.rehab.2018.05.316 ◽

2018 ◽

Vol 61 ◽

pp. e141-e142

Author(s):

G.Y. Park ◽

D.R. Kwon ◽

J.H. Rim

Keyword(s):

Rotator Cuff ◽

Shear Wave ◽

Rotator Cuff Tear ◽

Supraspinatus Muscle ◽

Cuff Tear

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Change in the pennation angle of the supraspinatus muscle after rotator cuff tear repair

Journal of Shoulder and Elbow Surgery ◽

10.1016/j.jse.2018.10.021 ◽

2019 ◽

Vol 28 (5) ◽

pp. 888-892

Author(s):

Ikuta Hayashi ◽

Makoto Enokida ◽

Keita Nagira ◽

Takahiro Yamasita ◽

Yasuto Tsukutani ◽

...

Keyword(s):

Rotator Cuff ◽

Rotator Cuff Tear ◽

Pennation Angle ◽

Supraspinatus Muscle ◽

Cuff Tear ◽

Rotator Cuff Tear Repair

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Designing Studies and Evaluating Research Results: Type M and Type S Errors for Pearson Correlation Coefficient

10.31234/osf.io/q9f86 ◽

2020 ◽

Author(s):

Giulia Bertoldo ◽

Claudio Zandonella Callegher ◽

Gianmarco Altoè

Keyword(s):

Correlation Coefficient ◽

Effect Size ◽

Statistical Power ◽

Pearson Correlation ◽

Statistical Significance ◽

Design Analysis ◽

Pearson Correlation Coefficient ◽

Size Estimation ◽

Present Contribution ◽

Effect Size Estimation

It is widely appreciated that many studies in psychological science suffer from low statistical power. One of the consequences of analyzing underpowered studies with thresholds of statistical significance, is a high risk of finding exaggerated effect size estimates, in the right or in the wrong direction. These inferential risks can be directly quantified in terms of Type M (magnitude) error and Type S (sign) error, which directly communicate the consequences of design choices on effect size estimation. Given a study design, Type M error is the factor by which a statistically significant effect is on average exaggerated. Type S error is the probability to find a statistically significant result in the opposite direction to the plausible one. Ideally, these errors should be considered during a prospective design analysis in the design phase of a study to determine the appropriate sample size. However, they can also be considered when evaluating studies’ results in a retrospective design analysis. In the present contribution we aim to facilitate the considerations of these errors in the research practice in psychology. For this reason we illustrate how to consider Type M and Type S errors in a design analysis using one of the most common effect size measures in psychology: Pearson correlation coefficient. We provide various examples and make the R functions freely available to enable researchers to perform design analysis for their research projects.

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Managing risk in ski resorts: Environmental factors affecting actual and estimated speed on signposted groomed slopes in a cohort of adult recreational alpine skiers

PLoS ONE ◽

10.1371/journal.pone.0256349 ◽

2021 ◽

Vol 16 (8) ◽

pp. e0256349

Author(s):

Luis Carus ◽

Isabel Castillo

Keyword(s):

Wind Speed ◽

Correlation Coefficient ◽

Environmental Conditions ◽

Pearson Correlation ◽

Statistical Significance ◽

Linear Regression Analysis ◽

Maximum Speed ◽

Pearson Correlation Coefficient ◽

Ski Resorts

Background Certain weather conditions are clearly harmful, increasing the risk of injury of winter sports participants substantially. The objective of this study was to investigate actual speeds of skiers on signposted groomed slopes and to measure their skill to accurately estimate them with regard to environmental conditions such as visibility, sky cover, snow quality, wind and temperature. Methods The data were obtained from a sample of 421 adult recreational skiers taking ski courses. The Pearson correlation coefficient was used to explore the relationship between actual and estimated speed for all participants. Multiple linear regression analysis was used to measure the effect of environmental conditions on both the skiers’ actual speeds and their errors of estimation. Values of 0.05 or less were considered to indicate statistical significance. Results The Pearson correlation coefficient between estimated and actual speed was 0.90 (P < 0.001). Skiers underestimated their actual speed on average by 13.06 km/h or 24.1%. Visibility, quality of snow and wind speed were shown to significantly affect both actual maximum speed and estimated speed. Good visibility, grippy snow and calm wind were associated with both the highest actual maximum speed and the lowest ability to estimate it. Conclusion Certain environmental conditions are associated with the actual speed at which skiers travel and with their ability to estimate it. Visibility, quality of snow and wind speed seem to influence both actual speed and the ability to estimate it while sky cover and temperature do not. A reinforced understanding of skiing speed on signposted groomed slopes is useful to gain insight into crashes and the mechanisms of resulting injuries, to evaluate means of protection and to devise successful prevention policies in ski resorts.

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