The Bankart lesion is a common injury to the labrum in the shoulder joint, usually resulting from anterior shoulder dislocation. Arthroscopic Bankart repair is a surgical technique used to treat recurrent dislocations by reattaching the labrum to the glenoid rim using suture anchors. Typically, 3 portals are created: 1 for visualization and 2 for instrumentation. However, this Technical Note proposes a single working portal approach using a 70° arthroscope from the posterior portal. This technique enhances visualization and prevents portal jamming, particularly in cases with a small rotator interval.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10837840PMC
http://dx.doi.org/10.1016/j.eats.2023.08.022DOI Listing

Publication Analysis

Top Keywords

single working
8
working portal
8
portal technique
8
arthroscopic bankart
8
bankart repair
8
portal
4
technique 70-degree
4
70-degree arthroscope
4
arthroscope arthroscopic
4
repair bankart
4

Similar Publications

Unveiling the electrochemical nitrogen reduction reaction mechanism in heteroatom-decorated-MoCS-MXene: the synergistic effect of single-atom Fe and heteroatom.

Mater Horiz

January 2025

Institute of Biomass Engineering, Key Laboratory of Energy Plants Resource and Utilization, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, 510642, China.

Conversion of nitrogen (N) to ammonia (NH) is a significant process that occurs in environment and in the field of chemistry, but the traditional NH synthesis method requires high energy and pollutes the environment. In this work, the charge, orbital and spin order of the single-atom Fe loaded on heteroatom (X) doped-MoCS (X = B, N, O, F, P and Se) and its synergistic effect on electrochemical nitrogen reduction reaction (eNRR) were investigated using well-defined density functional theory (DFT) calculations. Results revealed that the X-element modified the charge loss capability of Fe atoms and thereby introduced a net spin through heteroatom doping, resulting in the magnetic moment modulation of Fe.

View Article and Find Full Text PDF

Multimodal artificial intelligence system for detecting a small esophageal high-grade squamous intraepithelial neoplasia: A case report.

World J Gastrointest Endosc

January 2025

Department of Gastroenterology and Hepatology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.

Background: Recent advancements in artificial intelligence (AI) have significantly enhanced the capabilities of endoscopic-assisted diagnosis for gastrointestinal diseases. AI has shown great promise in clinical practice, particularly for diagnostic support, offering real-time insights into complex conditions such as esophageal squamous cell carcinoma.

Case Summary: In this study, we introduce a multimodal AI system that successfully identified and delineated a small and flat carcinoma during esophagogastroduodenoscopy, highlighting its potential for early detection of malignancies.

View Article and Find Full Text PDF

Background: Areas of conduction disorders play an important role in both initiation and perpetuation of AF and can be recognized by specific changes in unipolar potential morphology. For example, EGM fractionation may be caused by asynchronous activation of adjacent cardiomyocytes because of structural barriers such as fibrotic strands. However, it is unknown whether there are sex differences in unipolar potential morphology.

View Article and Find Full Text PDF

Objective: To evaluate the utility of three-dimensional (3D) anatomical models as an educational tool among Orthopaedic surgical trainees.

Methods: Seven types of 3D anatomical models - humerus, elbow, ankle, calcaneum, knee, femur, and pelvis- based on patients' computational tomography (CT) scans were printed in the study institution and used by surgical trainees preoperatively. Responses were collected in the form of a Likert scale questionnaire.

View Article and Find Full Text PDF

MTIOT: Identifying HPV subtypes from multiple infection data.

Comput Struct Biotechnol J

December 2024

Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.

Persistent infection with high-risk human papillomavirus (hrHPV) is a major cause of cervical cancer. The effectiveness of current HPV-DNA testing, which is crucial for early detection, is limited in several aspects, including low sensitivity, accuracy issues, and the inability to perform comprehensive hrHPV typing. To address these limitations, we introduce MTIOT (Multiple subTypes In One Time), a novel detection method that utilizes machine learning with a new multichannel integration scheme to enhance HPV-DNA analysis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!