Objectives: Endoscopic laryngeal cleft repair (ELCR) with endolaryngeal suturing is an advanced surgical skill. This study objective was to assess the validity of 3-dimensionally (3D) printed laryngeal suturing simulator for ELCR.
Study Design: Development and validation of a simulator for ELCR.
Methods: An ELCR model was developed using 3D printed and readily available materials. Participants were surveyed before and after a simulation session using five-point Likert scale questions. Performance data was assessed using blinded expert video review and rated using a novel objective structured assessment of technical skills (OSATS) for endoscopic laryngeal suturing.
Results: Twenty-one participants ranging from residents to attendings completed the simulation session. Survey respondents reported on a five-point Likert scale that the model was "easy to use" and "quite realistic" (both mean of 4). Confidence improved significantly in 86% of participants (p < 0.01). Overall OSATS scores (out of a total of 55) showed a median improvement in technical skills of 11.7 points (p = 0.004). OSATS demonstrated good intra-rater (κ = 0.689 and 0.677) and moderate inter-rater (κ = 0.573) reliability. Completion times improved from the first to the last suture by a median time of 512 to 350 s (decrease of 202 s, p = 0.002). Participants with no prior ELCR experience improved more than those with in vivo experience.
Conclusion: This study demonstrates the validity of a simulator utilizing 3D printed larynges for ELCR. A novel OSATS for endoscopic laryngeal suturing was successfully implemented. Confidence, technical skills, and completion times improved with the use of the model across a variety of participants. Laryngoscope, 133:785-791, 2023.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/lary.30320 | DOI Listing |
Oral Oncol
January 2025
Department of Otolaryngology - Head & Neck Surgery Foch Hospital Suresnes France; School of Medicine, UFR Simone Veil, Université Versailles Saint-Quentin-en-Yvelines (Paris Saclay University), 2 Av. de la Source de la Bièvre 78 180 Montigny-le-Bretonneux, France; Phonetics and Phonology Laboratory (UMR 7018 CNRS & Université Sorbonne nouvelle), Paris, France.
Objective: To compare the surgical, functional and oncological outcomes of Transoral Laser Microsurgery (TLM) and Transoral Robotic Surgery (TORS) for the treatment of supraglottic squamous cell carcinoma.
Study Design: Retrospective case series with prospective data.
Settings: Tertiary Academic Medical Center.
Otolaryngol Head Neck Surg
January 2025
Divisions of Pediatric Surgery and Otolaryngology-Head and Neck Surgery, The Stollery Children's Hospital and University of Alberta Hospital, Edmonton, Alberta, Canada.
Objective: To report the clinical and laryngeal electromyographic (LEMG) parameters of children with laryngeal dyskinesia (LD) and its prevalence among laryngeal mobility disorder (LMD) requiring full airway examination.
Study Design: Retrospective uncontrolled study.
Setting: Tertiary pediatric center.
Equine Vet J
January 2025
UCD School of Agriculture and Food Science, University College Dublin, Dublin, Ireland.
Background: Equine recurrent laryngeal neuropathy (RLN) is an economically important upper respiratory tract (URT) disease with a genetic contribution to risk, but genetic variants independent of height have not been identified for Thoroughbreds. The method of clinical assessment for RLN is critical to accurately phenotype groups for genetic studies.
Objectives: To identify genetic risk loci for RLN in Thoroughbreds in a genome-wide association study (GWAS) following high-resolution phenotyping.
Acta Otolaryngol
January 2025
Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin, China.
Background: The early diagnosis of glottic laryngeal cancer is the key to successful treatment, and machine learning (ML) combined with narrow-band imaging (NBI) laryngoscopy provides a new idea for the early diagnosis of glottic laryngeal cancer.
Objective: To explore the clinical applicability of the diagnosis of early glottic cancer based on ML combined with NBI.
Material And Methods: A retrospective study was conducted on 200 patients diagnosed with laryngeal mass, and the general clinical characteristics and pathological results of the patients were collected.
J Voice
January 2025
Department of Otolaryngology-Head and Neck Surgery, UCSF Voice and Swallowing Center, UCSF School of Medicine, San Francisco, CA. Electronic address:
Background: Laryngeal respiratory dystonia (LRD) is diagnosed based on clinical presentation, patient history, and physical examination. Key indicators include dyspnea, desynchronized breathing patterns, and laryngoscopic findings that reveal vocal fold adduction during inspiration. Treatment for LRD remains controversial and often yields limited effectiveness.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!