首页|University Hospital of Ferrara Reports Findings in Eagle Syndrome (Transoral robotic styloidectomy for Eagle syndrome: A systematic review)

University Hospital of Ferrara Reports Findings in Eagle Syndrome (Transoral robotic styloidectomy for Eagle syndrome: A systematic review)

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New research on Diseases and Conditions - Eagle Syndrome is the subject of a report. According to news originating from Ferrara, Italy, by NewsRx correspondents, research stated, “The aim of the study is to conduct a systematic review of the existing literature on styloidectomy performed through transoral robotic surgery (TORS) in Eagle syndrome (ES). Two independent reviewers (RC and AC) conducted a systematic review of PubMed and Embase databases, seeking articles on TORS performed for ES treatment.” Our news journalists obtained a quote from the research from the University Hospital of Ferrara, “The search was conducted in July 2023. The review was carried out in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The review included a total of 17 adult patients, comprising 12 females and 5 males, with an average age of 52.2 years, all diagnosed with ES. For each patient, we assessed the overall length of the styloid process, the affected side, total intervention duration, hospitalization duration, pre and postoperative Visual Analogue Scale (VAS) scores, and the presence of minor and major complications. We identified 4 articles describing 17 instances of TORS as a surgical treatment for ES in the literature, totaling 18 styloidectomies. The mean age of the patients was 52.2 years, with 12 females and 5 males. The average operation time, inclusive of the docking phase, was 68.8 minutes. Sixteen patients (94.1% of the total) experienced complete symptom disappearance or near-complete resolution after surgery.”

FerraraItalyEuropeDiseases and ConditionsEagle SyndromeEmerging TechnologiesHealth and MedicineMachine LearningRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.13)