Otorhinolaryngologic Diseases Commons^™

Three-Dimensional Printed Models To Accelerate Resident Surgical Learning Curve For Standard Endoscopic Sinus Surgery Techniques, Jumah G Ahmad, Alexander J Citardi, Amber U Luong, William C Yao

Faculty, Staff and Student Publications

Background: Endoscopic sinus surgery presents significant visuospatial challenges to surgical trainees. We tested the utility of novel 3D printed models to simulate sinus surgery tasks to improve endoscopic skillsets in resident trainees.

Methods: This was a prospective quality improvement study of 10 ENT residents (PGY1-5). Participants rotated through 4 stations with different 3D simulation training modules designed to enhance endoscopic skillsets in the axial, sagittal and coronal planes (e.g., straight forceps to grasp a bead from a ledge, angled instruments to cannulate openings). Participants completed a self-assessment survey on the subjective sinus surgical skills using a visual analog …

Semi-Quantitative Assessment Of Surgical Navigation Accuracy During Endoscopic Sinus Surgery In A Real-World Environment, David Z Allen, Jason Talmadge, Martin J Citardi

Faculty, Staff and Student Publications

Introduction: Although surgical navigation is commonly used in rhinologic surgery, data on real world performance are sparse because of difficulties in collecting measurements for target registration error (TRE). Despite publications showing submillimeter TRE, surgeons do report TRE of >3 mm. We describe a novel method for assessing TRE during surgery and report findings with this technique.

Methods: The TruDi navigation system (Acclarent, Irving, CA) was registered using a contour-based protocol. The surgeon estimated target registration error (e-TRE) at up to 8 points (anatomic regions of interest [ROI]) during endoscopic sinus surgery (ESS). System logs were used to simulate the localization …

New Developments In Allergic Fungal Rhinosinusitis Pathophysiology And Treatment, Brian H Cameron, Amber U Luong

Faculty, Staff and Student Publications

Background: Allergic fungal rhinosinusitis (AFRS) is an endotype of chronic rhinosinusitis (CRS) with nasal polyps characterized by eosinophilic mucin laden with fungal hyphae entrapped in expanded sinus cavities with an exaggerated hypersensitivity to fungal elements. The last decade has elucidated fungi-driven inflammatory pathways contributing to the pathophysiology of chronic inflammatory respiratory diseases. In addition, novel therapeutic biologic options have become available for CRS over the last several years.

Objective: To review the current literature examining AFRS, focusing on recent developments in our understanding of its pathophysiology and implications for treatment options.

Methods: Review article.

Results: Fungi-driven respiratory inflammation has been …

Revisiting The Controversy: The Role Of Fungi In Chronic Rhinosinusitis, Matthew A Tyler, Kent Lam, Michael J Marino, William C Yao, Isaac Schmale, Martin J Citardi, Amber U Luong

Faculty, Staff and Student Publications

In the last two decades, the development of culture-independent genomic techniques has facilitated an increased appreciation of the microbiota-immunity interactions and their role in a multitude of chronic inflammatory diseases such as chronic rhinosinusitis (CRS), asthma, inflammatory bowel disease and dermatitis. While the pathologic role of bacteria in chronic inflammatory diseases is generally accepted, the understanding of the role of fungi remains controversial.

Chronic rhinosinusitis, specifically the phenotype linked to nasal polyps, represents a spectrum of chronic inflammatory diseases typically characterized by a Type 2 immune response. Studies on the microbiota within sinus cavities from healthy and diseased patients have …

Microbiotyping The Sinonasal Microbiome, Ahmed Bassiouni, Sathish Paramasivan, Arron Shiffer, Matthew R Dillon, Emily K Cope, Clare Cooksley, Mahnaz Ramezanpour, Sophia Moraitis, Mohammad Javed Ali, Benjamin S Bleier, Claudio Callejas, Marjolein E Cornet, Richard G Douglas, Daniel Dutra, Christos Georgalas, Richard J Harvey, Peter H Hwang, Amber U Luong, Rodney J Schlosser, Pongsakorn Tantilipikorn, Marc A Tewfik, Sarah Vreugde, Peter-John Wormald, J Gregory Caporaso, Alkis J Psaltis

Faculty, Staff and Student Publications

This study offers a novel description of the sinonasal microbiome, through an unsupervised machine learning approach combining dimensionality reduction and clustering. We apply our method to the International Sinonasal Microbiome Study (ISMS) dataset of 410 sinus swab samples. We propose three main sinonasal “microbiotypes” or “states”: the first is Corynebacterium-dominated, the second is Staphylococcus-dominated, and the third dominated by the other core genera of the sinonasal microbiome (Streptococcus, Haemophilus, Moraxella, and Pseudomonas). The prevalence of the three microbiotypes studied did not differ between healthy and diseased sinuses, but differences in their distribution were evident based …