Purpose: To determine the intraobserver and interobserver agreement on the geometric classification and 2-dimensional measurements of rotator cuff tears based on magnetic resonance arthrography.
Methods: We retrospectively reviewed preoperative magnetic resonance arthrograms of 73 consecutive patients who were surgically treated for their full-thickness rotator cuff tears. The images were blinded and evaluated by 2 orthopaedic shoulder surgeons and 2 musculoskeletal radiologists using the geometric classification of rotator cuff tears (type 1, crescent-shaped tear; type 2, longitudinal U- or L-shaped tear; type 3a, massive tear measuring between 20 and 30 mm; and type 3b, massive contracted tear measuring >30 mm) and measuring the sagittal/coronal dimensions of the tear. Review was performed twice with an interval of at least 8 weeks. Agreement was calculated using the linear weighted κ coefficient and the intraclass correlation coefficient (ICC).
Results: The intraobserver agreement was excellent for both the geometric classification and the sagittal/coronal dimension measurement (κ, 0.81 to 0.92; ICC, 0.84 to 0.98). The ICC for the interobserver agreement was excellent for all sagittal and coronal dimension measurements (ICC, 0.95 to 0.97). The interobserver agreement for the geometric classification was good for the orthopaedic surgeons (κ, 0.75 for round 1 and 0.73 for round 2). The interobserver agreement for the radiologists was excellent in observation round 1 (κ, 0.82) and good in observation round 2 (κ, 0.71). The interobserver agreement between orthopaedic surgeons and radiologists was found to be moderate to good (κ, 0.52 to 0.66). The Fleiss κ was 0.66 for round 1 and 0.62 for round 2.
Conclusions: The geometric classification and the 2-dimensional measurement of rotator cuff tears using magnetic resonance arthrography have good to excellent intraobserver agreement and moderate to good interobserver agreement among experienced observers.
Level Of Evidence: Level III, diagnostic study of nonconsecutive patients without consistently applied gold standard.
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http://dx.doi.org/10.1016/j.arthro.2012.04.054 | DOI Listing |
Nat Commun
December 2024
Institute for Research in Electronics and Applied Physics, University of Maryland, College Park, MD, USA.
Non-Hermitian models describe the physics of ubiquitous open systems with gain and loss. One intriguing aspect of non-Hermitian models is their inherent topology that can produce intriguing boundary phenomena like resilient higher-order topological insulators (HOTIs) and non-Hermitian skin effects (NHSE). Recently, time-multiplexed lattices in synthetic dimensions have emerged as a versatile platform for the investigation of these effects free of geometric restrictions.
View Article and Find Full Text PDFBMC Ecol Evol
December 2024
Department of Biology and Center for Biodiversity and Ecosystem Stewardship, Villanova University, 800 Lancaster Avenue, Villanova, PA, 19085, USA.
Lygodactylus geckos represent a well-documented radiation of miniaturized lizards with diverse life-history traits that are widely distributed in Africa, Madagascar, and South America. The group has diversified into numerous species with high levels of morphological similarity. The evolutionary processes underlying such diversification remain enigmatic, because species live in different ecological biomes, ecoregions and microhabitats, while suggesting strikingly high levels of homoplasy.
View Article and Find Full Text PDFFront Pharmacol
December 2024
Department of Infectious Disease, Shaoyang Central Hospital, Shaoyang, China.
Objective: To investigate which fluoroquinolone is safer when combined with bedaquiline for tuberculosis treatment by using the FDA Adverse Event Reporting System (FAERS) database.
Methods: We selected data from the first quarter (Q1) of 2013 to the second quarter (Q4) of 2024 from the FDA FAERS database for disproportionality analysis. Signal detection was conducted using the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM).
Clin Genet
December 2024
Imagine Institute, Paris, France.
Diagnostic wandering and delayed management are major issues in rare diseases. Here, we report a new Next-Generation Phenotyping (NGP) model for diagnosing Coffin Siris syndrome (CSS) on clinical photographs among controls and distinguish the different genotypes. This retrospective and prospective study, conducted from 1998 to 2023, included frontal and lateral pictures of confirmed CSS.
View Article and Find Full Text PDFJ Chem Inf Model
December 2024
Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE, U.K.
Machine learning (ML) methods provide a pathway to accurately predict molecular properties, leveraging patterns derived from structure-property relationships within materials databases. This approach holds significant importance in drug discovery and materials design, where the rapid, efficient screening of molecules can accelerate the development of new pharmaceuticals and chemical materials for highly specialized target application. Unsupervised and self-supervised learning methods applied to graph-based or geometric models have garnered considerable traction.
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