An artificial intelligence algorithm for the classification of sphenoid sinus pneumatisation on sinus computed tomography scans

BACKGROUND

Classifying sphenoid pneumatisation is an important but often overlooked task in reporting sinus CT scans. Artificial intelligence (AI) and one of its key methods, convolutional neural networks (CNNs), can create algorithms that can learn from data without being programmed with explicit rules and have shown utility in radiological image classification.

OBJECTIVE

To determine if a trained CNN can accurately classify sphenoid sinus pneumatisation on CT sinus imaging.

METHODS

Sagittal slices through the natural ostium of the sphenoid sinus were extracted from retrospectively collected bone-window CT scans of the paranasal sinuses for consecutive patients over 6 years. Two blinded Otolaryngology residents reviewed each image and classified the sphenoid sinus pneumatisation as either conchal, presellar or sellar. An AI algorithm was developed using the Microsoft Azure Custom Vision deep learning platform to classify the pattern of pneumatisation.

RESULTS

Seven hundred eighty images from 400 patients were used to train the algorithm, which was then tested on a further 118 images from 62 patients. The algorithm achieved an accuracy of 93.2% (95% confidence interval [CI] 87.1-97.0), 87.3% (95% CI 79.9-92.7) and 85.6% (95% CI 78.0-91.4) in correctly identifying conchal, presellar and sellar sphenoid pneumatisation, respectively. The overall weighted accuracy of the CNN was 85.9%.

CONCLUSION

The CNN described demonstrated a moderately accurate classification of sphenoid pneumatisation subtypes on CT scans. The use of CNN-based assistive tools may enable surgeons to achieve safer operative planning through routine automated reporting allowing greater resources to be directed towards the identification of pathology.

A Computer Vision Algorithm to Classify Pneumatization of the Mastoid Process on Temporal Bone Computed Tomography Scans

BACKGROUND

Pneumatization of the mastoid process is variable and of significance to the operative surgeon. Surgical approaches to the temporal bone require an understanding of pneumatization and its implications for surgical access. This study aims to determine the feasibility of using deep learning convolutional neural network algorithms to classify pneumatization of the mastoid process.

METHODS

De-identified petrous temporal bone images were acquired from a tertiary hospital radiology picture archiving and communication system. A binary classification mode in the pretrained convolutional neural network was used to investigate the utility of convolutional neural networks in temporal bone imaging. False positive and negative images were reanalyzed by the investigators and qualitatively assessed to consider reasons for inaccuracy.

RESULTS

The overall accuracy of the model was 0.954. At a probability threshold of 65%, the sensitivity of the model was 0.860 (95% CI 0.783-0.934) and the specificity was 0.989 (95% CI 0.960-0.999). The positive predictive value was 0.973 (95% CI 0.904-0.993) and the negative predictive value was 0.935 (95% CI 0.901-0.965). The false positive rate was 0.006. The F1 number was 0.926 demonstrating a high accuracy for the model.

CONCLUSION

The temporal bone is a complex anatomical region of interest to otolaryngologists. Surgical planning requires high-resolution computed tomography scans, the interpretation of which can be augmented with machine learning. This initial study demonstrates the feasibility of utilizing machine learning algorithms to discriminate anatomical variation with a high degree of accuracy. It is hoped this will lead to further investigation regarding more complex anatomical structures in the temporal bone.

Convolutional Neural Networks in ENT Radiology: Systematic Review of the Literature

INTRODUCTION

Convolutional neural networks (CNNs) represent a state-of-the-art methodological technique in AI and deep learning, and were specifically created for image classification and computer vision tasks. CNNs have been applied in radiology in a number of different disciplines, mostly outside otolaryngology, potentially due to a lack of familiarity with this technology within the otolaryngology community. CNNs have the potential to revolutionize clinical practice by reducing the time required to perform manual tasks. This literature search aims to present a comprehensive systematic review of the published literature with regard to CNNs and their utility to date in ENT radiology.

METHODS

Data were extracted from a variety of databases including PubMED, Proquest, MEDLINE Open Knowledge Maps, and Gale OneFile Computer Science. Medical subject headings (MeSH) terms and keywords were used to extract related literature from each databases inception to October 2020. Inclusion criteria were studies where CNNs were used as the main intervention and CNNs focusing on radiology relevant to ENT. Titles and abstracts were reviewed followed by the contents. Once the final list of articles was obtained, their reference lists were also searched to identify further articles.

RESULTS

Thirty articles were identified for inclusion in this study. Studies utilizing CNNs in most ENT subspecialties were identified. Studies utilized CNNs for a number of tasks including identification of structures, presence of pathology, and segmentation of tumors for radiotherapy planning. All studies reported a high degree of accuracy of CNNs in performing the chosen task.

CONCLUSION

This study provides a better understanding of CNN methodology used in ENT radiology demonstrating a myriad of potential uses for this exciting technology including nodule and tumor identification, identification of anatomical variation, and segmentation of tumors. It is anticipated that this field will continue to evolve and these technologies and methodologies will become more entrenched in our everyday practice.

Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy

To evaluate the generalizability of artificial intelligence (AI) algorithms that use deep learning methods to identify middle ear disease from otoscopic images, between internal to external performance. 1842 otoscopic images were collected from three independent sources: (a) Van, Turkey, (b) Santiago, Chile, and (c) Ohio, USA. Diagnostic categories consisted of (i) normal or (ii) abnormal. Deep learning methods were used to develop models to evaluate internal and external performance, using area under the curve (AUC) estimates. A pooled assessment was performed by combining all cohorts together with fivefold cross validation. AI-otoscopy algorithms achieved high internal performance (mean AUC: 0.95, 95%CI: 0.80-1.00). However, performance was reduced when tested on external otoscopic images not used for training (mean AUC: 0.76, 95%CI: 0.61-0.91). Overall, external performance was significantly lower than internal performance (mean difference in AUC: -0.19, p ≤ 0.04). Combining cohorts achieved a substantial pooled performance (AUC: 0.96, standard error: 0.01). Internally applied algorithms for otoscopy performed well to identify middle ear disease from otoscopy images. However, external performance was reduced when applied to new test cohorts. Further efforts are required to explore data augmentation and pre-processing techniques that might improve external performance and develop a robust, generalizable algorithm for real-world clinical applications.

Inter-rater agreement between 13 otolaryngologists to diagnose otitis media in Aboriginal and Torres Strait Islander children using a telehealth approach

INTRODUCTION

Telehealth programs are important to deliver otolaryngology services for Aboriginal and Torres Strait Islander children living in rural and remote areas, where distance and access to specialists is a critical factor.

OBJECTIVE

To evaluate the inter-rater agreement and value of increasing levels of clinical data (otoscopy with or without audiometry and in-field nurse impressions) to diagnose otitis media using a telehealth approach.

DESIGN

Blinded, inter-rater reliability study.

SETTING

Ear health and hearing assessments collected from a statewide telehealth program for Indigenous children living in rural and remote areas of Queensland, Australia.

PARTICIPANTS

Thirteen board-certified otolaryngologists independently reviewed 80 telehealth assessments from 65 Indigenous children (mean age 5.7 ± 3.1 years, 33.8% female).

INTERVENTIONS

Raters were provided increasing tiers of clinical data to assess concordance to the reference standard diagnosis: Tier A) otoscopic images alone, Tier B) otoscopic images plus tympanometry and category of hearing loss, and Tier C) as B plus static compliance, canal volume, pure-tone audiometry, and nurse impressions (otoscopic findings and presumed diagnosis). For each tier, raters were asked to determine which of the four diagnostic categories applied: normal aerated ear, acute otitis media (AOM), otitis media with effusion (OME), and chronic otitis media (COM).

MAIN OUTCOME MEASURES

Proportion of agreement to the reference standard, prevalence-and-bias adjusted κ coefficients, mean difference in accuracy estimates between each tier of clinical data.

RESULTS

Accuracy between raters and the reference standard increased with increased provision of clinical data (Tier A: 65% (95%CI: 63-68%), κ = 0.53 (95%CI: 0.48-0.57); Tier B: 77% (95%CI: 74-79%), 0.68 (95%CI: 0.65-0.72); C: 85% (95%CI: 82-87%), 0.79 (95%CI: 0.76-0.82)). Classification accuracy significantly improved between Tier A to B (mean difference:12%, p < 0.001) and between Tier B to C (mean difference: 8%, p < 0.001). The largest improvement in classification accuracy was observed between Tier A and C (mean difference: 20%, p < 0.001). Inter-rater agreement similarly improved with increasing provision of clinical data.

CONCLUSIONS

There is substantial agreement between otolaryngologists to diagnose ear disease using electronically stored clinical data collected from telehealth assessments. The addition of audiometry, tympanometry and nurse impressions significantly improved expert accuracy and inter-rater agreement, compared to reviewing otoscopic images alone.

An Artificial Intelligence Computer-vision Algorithm to Triage Otoscopic Images From Australian Aboriginal and Torres Strait Islander Children

OBJECTIVE

To develop an artificial intelligence image classification algorithm to triage otoscopic images from rural and remote Australian Aboriginal and Torres Strait Islander children.

STUDY DESIGN

Retrospective observational study.

SETTING

Tertiary referral center.

PATIENTS

Rural and remote Aboriginal and Torres Strait Islander children who underwent tele-otology ear health screening in the Northern Territory, Australia between 2010 and 2018.

INTERVENTIONS

Otoscopic images were labeled by otolaryngologists to classify the ground truth. Deep and transfer learning methods were used to develop an image classification algorithm.

MAIN OUTCOME MEASURES

Accuracy, sensitivity, specificity, positive predictive value, negative predictive value, area under the curve (AUC) of the resultant algorithm compared with the ground truth.

RESULTS

Six thousand five hundred twenty seven images were used (5927 images for training and 600 for testing). The algorithm achieved an accuracy of 99.3% for acute otitis media, 96.3% for chronic otitis media, 77.8% for otitis media with effusion (OME), and 98.2% to classify wax/obstructed canal. To differentiate between multiple diagnoses, the algorithm achieved 74.4 to 92.8% accuracy and an AUC of 0.963 to 0.997. The most common incorrect classification pattern was OME misclassified as normal tympanic membranes.

CONCLUSIONS

The paucity of access to tertiary otolaryngology care for rural and remote Aboriginal and Torres Strait Islander communities may contribute to an under-identification of ear disease. Computer vision image classification algorithms can accurately classify ear disease from otoscopic images of Indigenous Australian children. In the future, a validated algorithm may integrate with existing telemedicine initiatives to support effective triage and facilitate early treatment and referral.

Artificial intelligence to classify ear disease from otoscopy: A systematic review and meta-analysis

Objectives

To summarise the accuracy of artificial intelligence (AI) computer vision algorithms to classify ear disease from otoscopy.

Design

Systematic review and meta‐analysis.

Methods

Using the PRISMA guidelines, nine online databases were searched for articles that used AI computer vision algorithms developed from various methods (convolutional neural networks, artificial neural networks, support vector machines, decision trees and k‐nearest neighbours) to classify otoscopic images. Diagnostic classes of interest: normal tympanic membrane, acute otitis media (AOM), otitis media with effusion (OME), chronic otitis media (COM) with or without perforation, cholesteatoma and canal obstruction.

Main outcome measures

Accuracy to correctly classify otoscopic images compared to otolaryngologists (ground truth). The Quality Assessment of Diagnostic Accuracy Studies Version 2 tool was used to assess the quality of methodology and risk of bias.

Results

Thirty‐nine articles were included. Algorithms achieved 90.7% (95%CI: 90.1–91.3%) accuracy to difference between normal or abnormal otoscopy images in 14 studies. The most common multiclassification algorithm (3 or more diagnostic classes) achieved 97.6% (95%CI: 97.3–97.9%) accuracy to differentiate between normal, AOM and OME in three studies. AI algorithms outperformed human assessors to classify otoscopy images achieving 93.4% (95%CI: 90.5–96.4%) versus 73.2% (95%CI: 67.9–78.5%) accuracy in three studies. Convolutional neural networks achieved the highest accuracy compared to other classification methods.

Conclusion

AI can classify ear disease from otoscopy. A concerted effort is required to establish a comprehensive and reliable otoscopy database for algorithm training. An AI‐supported otoscopy system may assist health care workers, trainees and primary care practitioners with less otology experience identify ear disease.

Pneumothorax rates in CT-Guided lung biopsies: a comprehensive systematic review and meta-analysis of risk factors

OBJECTIVE

This systematic review and meta-analysis investigated risk factors for pneumothorax following CT-guided percutaneous transthoracic lung biopsy.

METHODS

A systematic search of nine literature databases between inception to September 2019 for eligible studies was performed.

RESULTS

36 articles were included with 23,104 patients. The overall pooled incidence for pneumothorax was 25.9% and chest drain insertion was 6.9%. Pneumothorax risk was significantly reduced in the lateral decubitus position where the biopsied lung was dependent compared to a prone or supine position [odds ratio (OR):3.15]. In contrast, pneumothorax rates were significantly increased in the lateral decubitus position where the biopsied lung was non-dependent compared to supine (OR:2.28) or prone position (OR:3.20). Other risk factors for pneumothorax included puncture site up compared to down through a purpose-built biopsy window in the CT table (OR:4.79), larger calibre guide/needles (≤18G vs >18G: OR 1.55), fissure crossed (OR:3.75), bulla crossed (OR:6.13), multiple pleural punctures (>1 vs 1: OR:2.43), multiple non-coaxial tissue sample (>1 vs 1: OR 1.99), emphysematous lungs (OR:3.33), smaller lesions (<4 cm vs 4 cm: OR:2.09), lesions without pleural contact (OR:1.73) and deeper lesions (≥3 cm vs <3cm: OR:2.38).

CONCLUSION

This meta-analysis quantifies factors that alter pneumothorax rates, particularly with patient positioning, when planning and performing a CT-guided lung biopsy to reduce pneumothorax rates.

ADVANCES IN KNOWLEDGE

Positioning patients in lateral decubitus with the biopsied lung dependent, puncture site down with a biopsy window in the CT table, using smaller calibre needles and using coaxial technique if multiple samples are needed are associated with a reduced incidence of pneumothorax.

The efficacy of diluted topical povidone-iodine rinses in the management of recalcitrant chronic rhinosinusitis: a prospective cohort study

PURPOSE

Recalcitrant chronic rhinosinusitis is a persistent inflammatory condition of the sinonasal mucosa despite adequate medical therapy and sinus surgery. This study aimed to demonstrate the effectiveness and safety of dilute povidone-iodine (PVP-I) sinonasal rinses as an adjunctive therapy.

METHODS

Prospective cohort study. Twenty-nine recalcitrant CRS patients with endoscopic evidence of ongoing inflammation and purulent discharge were prescribed 0.08% diluted PVP-I rinses. Changes to endoscopic modified Lund-Kennedy (MLK) scores at 7 weeks post-PVP-I rinsing served as the primary outcome measure.

RESULTS

The median MLK-discharge score significantly decreased in all patients by 1.50 points post-PVP-I rinsing (p value < 0.01). The total MLK score significantly decreased in all patients by 1.50 points (p value = 0.01). Up to a 17% reduction in serum inflammatory markers was measured post-PVP-I rinsing. Sinonasal culture revealed a shift from moderate-heavy growth to lighter bacterial growth overall. Subjective SNOT-22 scores significantly improved overall by ≥ 1 minimal clinically important difference (MCID > 12; baseline median = 33; follow-up median = 20; p value < 0.01; n = 22). TSH levels increased non-significantly within normal ranges (baseline median = 1.59 mU/L; follow-up median = 1.92 mU/L; p = 0.10; n = 15). Mucociliary clearance time increased non-significantly within normal ranges (baseline median = 9 min; follow-up median = 10 min; p value = 0.53; n = 17). Olfactory Sniffin'16 scores non-significantly decreased within age-related normal ranges (baseline median = 14; follow-up median = 13; p value = 0.72; n = 18).

CONCLUSION

A dilute 0.08% PVP-I sinonasal rinse as an ancillary therapy in recalcitrant CRS significantly reduces signs of infection alongside notable symptom improvement, without affecting thyroid function, mucociliary clearance or olfaction.

Post-Biopsy Manoeuvres to Reduce Pneumothorax Incidence in CT-Guided Transthoracic Lung Biopsies: A Systematic Review and Meta-analysis

This systematic review and meta-analysis investigated post-biopsy manoeuvres to reduce pneumothorax following computed tomography-guided percutaneous transthoracic lung biopsy. Twenty-one articles were included with 7080 patients. Chest drain insertion rates were significantly reduced by ninefold with the normal saline tract sealant compared to controls (OR 0.11, 95% CI 0.02-0.48), threefold with the rapid rollover manoeuvre to puncture site down (OR 0.34, 95% CI 0.18-0.63), threefold with the tract plug (OR 0.33, 95% CI 0.22-0.48) and threefold with the blood patch (OR 0.39, 95% CI 0.26-0.58). The absolute chest drain insertion rates were the lowest in the normal saline tract sealant (0.8% vs 7.3% for controls), rapid rollover (1.9% vs 5.2%), deep expiration and breath-hold on needle extraction (0.9% vs 1.8%) and standard rollover versus no rollover (2.6% vs 5.2%). These findings highlight post-biopsy manoeuvres which could help reduce pneumothorax and chest drain insertions following lung biopsies. LEVEL OF EVIDENCE: Level 1/no level of evidence, systematic review.

Prognosis of Chronic Rhinosinusitis With Nasal Polyps Using Preoperative Eosinophil/Basophil Levels and Treatment Compliance

Background Patients with chronic rhinosinusitis with nasal polyps (CRSwNP) have a high risk of disease recurrence and revision surgery. The ability to predict a polyp recurrence in this patient population is critical in order to provide adequately tailored postoperative management. Objective We aim to explore the role of appropriate postoperative care in the prognosis of CRSwNP patients in relation to preoperative eosinophil and basophils levels. Methods This was a retrospective case series; data were collected for 102 CRSwNP patients over a period of 15 months after surgery. Baseline eosinophil and basophil levels were compared between patients with and without polyp recurrences. The analysis was then stratified based on clinical diagnosis, comorbidities (atopy, asthma, and aspirin allergy), a single versus multiple episodes of sinonasal polyp recurrences, and medication adherence. Results Of the 102 included patients, 65 (63.7%) of the patients experienced no recurrences, 26 (25.5%) experienced a single episode of recurrence, and 11 (10.8%) experienced multiple recurrences. Mean baseline eosinophil count and percentage of total white blood cells were significantly higher in the multiple recurrences group (0.70 × 10⁹/L and 10%) compared with the no recurrences group (0.36 × 10⁹/L and 5%). Adherence to prescribed medical therapy prior to the first episode of recurrence was significantly lower for the single exacerbations group (42.3%) than the multiple recurrences group (88.9%). Conclusions Patients with multiple recurrences of nasal polyps had significantly higher baseline eosinophil counts and significantly higher medication adherence compared to single exacerbations of nasal polyps. Single exacerbations may not reflect true failures of surgery but rather a failure of postoperative medical care. Basophil levels were inadequate to predict polyp recurrence rates.

Periostin as a marker of mucosal remodelling in chronic rhinosinusitis

BACKGROUND

Although extracellular matrix (ECM) proteins are associated with irreversible lower airway changes, the relationship with upper airway remodelling which occurs during chronic rhinosinusitis (CRS) is poorly understood. This study assessed the expression of ECM proteins periostin, fibulin-1, fibronectin and collagenIV in nasal mucosa of patients with and without histologic features of remodelling.

METHODS

A cross-sectional study of sinonasal mucosal biopsies taken from patients, undergoing surgery for CRS was performed, where patients were grouped according to remodelling, defined by basement membrane thickening (BMT over 7.5 micrometer) and subepithelial fibrosis. An overall view and three random fields of immunostained tissue sections that included epithelium, basement membrane and submucosa, were imaged using Zeiss Zen software. The area and intensity of positive staining were scored by two blinded observers, using a 12-point ordinal scale of weak to strong.

RESULTS

65 patients (47.6 +/- 13.4years, 44.6% female) were assessed. Patients were grouped as controls 26.2%, BMT/no fibrosis 38.5% or BMT and fibrosis 33.8%. Stronger grade of periostin expression was associated with remodelling changes and tissue eosinophilia over 10/HPF. Fibulin-1, fibronectin and collagenIV did not differ.

CONCLUSION

Periostin expression was associated with the presence of BMT, fibrosis and tissue eosinophilia and may identify patients undergoing remodelling changes.

Periostin as a marker of mucosal remodelling in chronic rhinosinusitis

BACKGROUND

Although extracellular matrix (ECM) proteins are associated with irreversible lower airway changes, the relationship with upper airway remodelling which occurs during chronic rhinosinusitis (CRS) is poorly understood. This study assessed the expression of ECM proteins periostin, fibulin-1, fibronectin and collagenIV in nasal mucosa of patients with and without histologic features of remodelling.

METHODS

A cross-sectional study of sinonasal mucosal biopsies taken from patients, undergoing surgery for CRS was performed, where patients were grouped according to remodelling, defined by basement membrane thickening (BMT over 7.5 micrometer) and subepithelial fibrosis. An overall view and three random fields of immunostained tissue sections that included epithelium, basement membrane and submucosa, were imaged using Zeiss Zen software. The area and intensity of positive staining were scored by two blinded observers, using a 12-point ordinal scale of weak to strong.

RESULTS

65 patients (47.6 +/- 13.4years, 44.6% female) were assessed. Patients were grouped as controls 26.2%, BMT/no fibrosis 38.5% or BMT and fibrosis 33.8%. Stronger grade of periostin expression was associated with remodelling changes and tissue eosinophilia over 10/HPF. Fibulin-1, fibronectin and collagenIV did not differ.

CONCLUSION

Periostin expression was associated with the presence of BMT, fibrosis and tissue eosinophilia and may identify patients undergoing remodelling changes.

The effect of two sphenoidotomy approaches on the sense of smell: trans-ethmoidal versus trans-sphenoethmoidal

BACKGROUND

There are generally two methods to access the sphenoid sinus: either through the natural ostium {trans-sphenoethmoidalor via sphenoethmoidal recess), or by creating a second opening through the posterior ethmoids (trans-ethmoidal).This study psychophysically and subjectively evaluates the effect of the trans-sphenoethmoidal technique to the trans-ethmoidal technique for sphenoid sinusotomy on olfactory function.

METHODS

Prospective cohort analysis of 48 patients with comparable sinus disease underwent primary sphenoidotomy via transsphenoethmoidal(n = 24) versus trans-ethmiodal (n = 24) technique between September 2011 and February 2012. The patients had their olfaction measured psychophysically with "Sniffin' Sticks" and subjectively with a visual analogue scale (VAS) pre-operatively and at 5 weeks post-operatively.

RESULTS

Psychophysical scores from the Sniffin' sticks provide a Threshold, Discrimination and Identification (TDI) score out of 48.The TDI change (post-operative TDI score minus pre-operative score) as well as VAS change (post-operative VAS minus pre-operativeVAS) were analyzed using t-test analysis, which showed no significant difference between the two measurements.

CONCLUSION

If the trans-sphenoethmoidal technique is done meticulously, patients have the same olfactory relief, psychophysically and subjectively, as those undergoing the trans-ethmoidal technique.

The effect of two sphenoidotomy approaches on the sense of smell: trans-ethmoidal versus trans-sphenoethmoidal

BACKGROUND

There are generally two methods to access the sphenoid sinus: either through the natural ostium {trans-sphenoethmoidalor via sphenoethmoidal recess), or by creating a second opening through the posterior ethmoids (trans-ethmoidal).This study psychophysically and subjectively evaluates the effect of the trans-sphenoethmoidal technique to the trans-ethmoidal technique for sphenoid sinusotomy on olfactory function.

METHODS

Prospective cohort analysis of 48 patients with comparable sinus disease underwent primary sphenoidotomy via transsphenoethmoidal(n = 24) versus trans-ethmiodal (n = 24) technique between September 2011 and February 2012. The patients had their olfaction measured psychophysically with "Sniffin' Sticks" and subjectively with a visual analogue scale (VAS) pre-operatively and at 5 weeks post-operatively.

RESULTS

Psychophysical scores from the Sniffin' sticks provide a Threshold, Discrimination and Identification (TDI) score out of 48.The TDI change (post-operative TDI score minus pre-operative score) as well as VAS change (post-operative VAS minus pre-operativeVAS) were analyzed using t-test analysis, which showed no significant difference between the two measurements.

CONCLUSION

If the trans-sphenoethmoidal technique is done meticulously, patients have the same olfactory relief, psychophysically and subjectively, as those undergoing the trans-ethmoidal technique.

Sinonasal Outcomes Test-22 as a Tool to Identify Chronic Rhinosinusitis among Adults with Cystic Fibrosis

Objectives:

(1) Investigate the ability of a sinus-specific health-related quality of life questionnaire (HRQoL) to distinguish clinically significant chronic rhinosinusitis (CRS) among adults with cystic fibrosis (CF). (2) Determine an appropriate cutoff score on the Sinonasal Outcomes Test-22 (SNOT-22) with sufficient test sensitivity and specificity, to assist caregivers in identifying adults with CF who may warrant specialist referral and treatment.

Methods:

Participants were enrolled at an adult-specific CF clinic in a tertiary academic hospital in Vancouver, Canada. Subjects completed the SNOT-22 followed by endoscopic assessment by otolaryngologists. The Canadian Clinical Practice Guidelines for Chronic Rhinosinusitis were used to confirm diagnosis of CRS.

Results:

To date, 52 of 80 individuals with a confirmed diagnosis of CF have participated in this study. Thirty-nine (75.0%) individuals were identified with CRS, 12 (30.8%) of whom presented with nasal polyposis. Aggregate SNOT-22 scores were significantly higher among individuals with CRS compared to non-CRS counterparts (39.4 ± 20.0 vs 22.7 ± 8.7, P = .007, 95% confidence interval [CI] for mean difference: 4.7, 28.7). A SNOT-22 score >26 was found to have a test sensitivity of 74.4% and specificity of 66.7% for diagnosis of CRS (AUC = 0.77, P < .01). Using SNOT-22 scores related to rhinological symptoms increased the likelihood ratio of a positive test when compared to aggregate scores (8.3 vs 2.2, respectively).

Conclusions:

The SNOT-22 significantly discriminates between CF adults with and CF adults without CRS. Using rhinological symptom scores increases the likelihood of detecting true CRS cases. The use of this questionnaire may assist specialists in identifying individuals who have clinically significant CRS, warranting specialist referral and treatment.

The safety and performance of a maxillary sinus ostium self-dilation device: a pilot study

BACKGROUND

Balloon dilation is now commonly used to open sinus ostia while preserving mucosa and minimizing trauma. A new maxillary sinus ostium (MSO) self-dilation device that functions on the principle of osmosis, absorbing a small amount of fluid from the surrounding tissues, can be placed into the MSO under endoscopic visualization and slowly enlarge its outer diameter. The slower dilation may further minimize tissue damage and scarring compared to the currently available balloon dilation systems. The MSO self-dilating expansion device has never been studied before in clinical trials; the purpose of this pilot study is to determine the safety and performance of the device in human subjects.

METHODS

Twelve chronic rhinosinusitis (CRS) patients presenting with maxillary sinus inflammation requiring FESS were enrolled. The device was inserted into the MSO at the start of surgery and removed after 60 minutes. Endoscopic evaluation for patency was performed immediately after removal, and at 1 week, 1 month, and 3 months. Adverse events were recorded intraoperatively and at each subsequent visit.

RESULTS

The device was successfully inserted in 100% of cases attempted (19/19 MSOs, 12 patients). Seventeen (89%) devices remained in the MSO for 60 minutes and dilated to a mean diameter of 4.8 ± 0.5 mm. One patient was withdrawn from the study. No adverse events occurred during insertion or removal of the device. At 3 months postinsertion 14 of 15 MSO dilated (93%) were confirmed patent.

CONCLUSION

Placement of an osmotic self-dilating expansion device in human MSO is safe, achievable and effective at dilating the ostia.

The interrater and intrarater reliability of the Philpott-Javer staging system based on level of training

OBJECTIVE

The Philpott-Javer postoperative endoscopic mucosal staging system for allergic fungal rhinosinusitis has previously demonstrated acceptable interrater reliability among rhinologists. There are, however, numerous learners involved in patient care at tertiary centers. This study aims to analyze the interrater and intrarater reliability of this system among learners in otolaryngology at different stages in training.

STUDY DESIGN

A prospective analysis of retrospectively collected endoscopic photographs.

SETTING

A tertiary care teaching hospital (January 2013).

SUBJECTS

Fifty patients undergoing routine follow-up.

METHOD

Three photographs from each of 50 patients undergoing routine postsurgical nasoendoscopy were reviewed. Images were played twice, 1 week apart, in 2 differently randomized cycles and scored according to Philpott-Javer criteria by a rhinologist, a rhinology fellow, a senior otolaryngology resident, a junior otolaryngology resident, and a medical student. Interobserver reliability was assessed using the intraclass correlation coefficient, while intrarater reliability was assessed by Shrout-Fleiss κ values. Agreement between each learner and the rhinologist was also assessed using κ values.

RESULTS

The interclass correlation among the 5 raters was 0.7600 (95% confidence interval, 0.6917-0.8161) for the Philpott-Javer scoring system, suggesting substantial reliability. Intrarater data showed substantial to almost-perfect reliability (κ values between 0.668 and 0.815) among all raters using this system. There was also moderate to substantial agreement between the learners and the rhinologist (κ values between 0.534 and 0.710).

CONCLUSION

Results suggest that the Philpott-Javer staging system has acceptable intrarater and interrater reliability among learners of differing levels of clinical experience and is suitable for evaluating progress following surgery.

Interrater and Intrarater Reliability of Philpott-Javer and Kupferberg Staging following Sinus Surgery Based on Training

Objectives:

The Philpott-Javer and Kupferberg endoscopic mucosal staging systems for allergic fungal rhinosinusitis have previously demonstrated acceptable inter-rater reliability among rhinologists. There are, however, numerous learners involved in patient care at tertiary centers. This study aims to 1) Analyze the inter-rater and intra-rater reliability of the Philpott-Javer and Kupferberg scoring systems among otorhinolaryngology learners at different stages in training; 2) Analyze whether the Philpott-Javer scoring system can be used reliably by learners compared to an experienced rhinologist.

Methods:

This retrospective study examined the endoscopic photographs of patients who had undergone post-surgical endoscopy at a tertiary sinus center in January 2013. 150 Images (3 images randomly selected from 50 patients) were played twice, one week apart, in a randomized loop and scored according to Philpott-Javer and Kupferberg criteria by a staff rhinologist, a rhinology fellow, a senior otorhinolaryngology resident, a junior otorhinolaryngology resident, and a medical student.

Results:

The inter-class correlation between the 5 raters was 0.7600 (95% CI: 0.6917, 0.8161) and 0.6679 (95% CI: 0.5997, 0.7312) for the Philpott-Javer and Kupferberg scoring systems respectively, suggesting substantial reliability. Intra-rater data showed substantial reliability (kappa values between 0.588 and 0.844) among all raters using both systems. There was also moderate to substantial agreement between the learners and the staff rhinologist (kappa values between 0.534 and 0.710).

Conclusions:

Results suggest that both the Philpott-Javer and Kupferberg staging systems have acceptable intra-rater and inter-rater reliability among learners of differing levels of clinical experience and are suitable for evaluating progress following endoscopic surgery.

Evaluation of domestic and Yucatan swine nasal sinus anatomy as models for future sinonasal research of medications delivered by standard instruments used in functional endoscopic sinus surgery

BACKGROUND

There is a need to find an animal model to study new medications to improve mucosal wound healing after functional endoscopic sinus surgery (FESS). Current literature suggests swine as a potential candidate. The lack of information correlating swine computer tomography (CT) and endoscopic sinonasal anatomy prompted us to investigate them in the domestic and Yucatan swine to determine their feasibility as models to test new medications and drug-embedded stents applied using FESS techniques.

METHODS

Two domestic pig heads and 2 Yucatan pig heads were imaged using helical thin slice (1 mm) CT. Two rhinologists analyzed the images and performed endoscopy on the swine. Particular attention was given to accessing the frontal sinus and suturing stents to the nasal septum using standard endoscopic instruments.

RESULTS

CT confirmed that swine sinonasal anatomy is largely similar to human, with all major sinuses present. The middle and inferior turbinates of swine arise from a single uniturbinate. The superior turbinates contain large concha bullosa. Unlike human, swine nasal septum is bone anteriorly and cartilage posteriorly. The frontal sinus ostia, regardless of head size, were consistently around 10 cm from the nasal aperture. On endoscopy, domestic swine frontal sinus ostia were easily accessible for topical medication deposition. Silastic splints can be sutured to the domestic swine septum through the posterior cartilaginous portion, allowing for studies involving medication-eluting material. The narrower nasal cavity of Yucatan pigs prohibited endoscopic maneuvers.

CONCLUSION

Domestic swine, but not Yucatan, are a feasible model for future sinonasal research using standard FESS instruments.

Fifteen-Degree Reverse Trendelenburg Position for FESS

Objective: 1) To determine whether the 15-degree reverse Trendelenburg position (RTP) during FESS improves endoscopic field of view compared to the horizontal position (HP). 2) To determine whether the 15-degree RTP during FESS reduces intraoperative blood loss compared to the HP.

Method: Fifty CRS patients undergoing FESS were randomized to either 15-degree RTP (experimental arm) or HP (control arm) from October 2011 to February 2012. Boezaart endoscopic field of view grading system was the primary outcome measure. Total blood loss, blood loss/minute, MAP, heart rate, anesthetic technique, and surgery time were recorded.

Results: The 43 patients currently studied show a significant difference in mean Boezaart scoring between RTP and HP: 1.698 vs 2.124 ( P = .009), with RTP producing a better endoscopic field of view. There was also less blood loss per minute with RTP ( P = .05). No significant difference was found in total blood loss ( P = .236), time of surgery ( P = .458), or mean arterial pressure ( P = .825) between the 2 surgical positions.

Conclusion: The 15-degree RTP improves the endoscopic field of view during FESS and also reduces blood loss per minute during surgery. We would therefore recommend its use.

Triamcinolone versus Saline Soaked Spacers Post-FESS

Objective: 1) To determine the effectiveness of triamcinolone-soaked middle-meatal-spacers (MMS) within a perforated surgical gloved finger on improving healing and reducing inflammation in CRS patients post-FESS.

2) To determine if triamcinolone-soaked MMS within a perforated surgical gloved finger improves patient reported outcomes post-FESS.

Methods: Double-blind randomized controlled trial of 50 CRS patients undergoing FESS. Patients receive MMS in perforated glove fingers bilaterally, impregnated with triamcinolone (experimental arm) or saline (control). Primary outcome measure is the validated Philpott-Javer endoscopic mucosal inflammation scoring system at postoperative days 14, 28, and 3, 6 months. SNOT-22 scores were secondary outcomes.

Results: Our interim results, based on 36 participants, are optimistic. Patients in the triamcinolone group show clinically significant improvement in Philpott-Javer endoscopic scores compared to saline controls at 28 days postoperative examination, however this difference was not currently statistically significant (1.185 vs 2.65; P = .084). There was no significant difference between SNOT-22 scores for the 2 groups at postoperative day 28 ( P = .88).

Conclusion: Triamcinolone-impregnated MMS may improve postoperative inflammation and healing in CRS patients following FESS.

Combined topical flucytosine and amphotericin B for refractory vaginal Candida glabrata infections

Patients with vaginitis due to highly azole resistant Candida glabrata can be particularly difficult to treat. We describe three cases of longstanding vaginal candidiasis due to C glabrata. These had failed to respond to local and systemic antifungals. Flucytosine (1 g) and amphotericin B (100 mg) formulated in lubricating jelly base in a total 8 g delivered dose, was used per vagina once daily for 14 days with significant improvement, both clinically and microbiologically.