Preservation or removal of the lateral nasal wall in endoscopic management of maxillary sinus neoplasia: A comparison of approach related morbidity.

BACKGROUND: The endoscopic modified medial maxillectomy (MMM) and prelacrimal approach (PLA) are two routinely performed endoscopic approaches to the maxillary sinus when access via a middle meatal antrostomy is insufficient. However, there is no data in the literature that has compared outcomes and complication profile between the two procedures to determine which approach is superior. OBJECTIVE: To compare the approach related morbidity of PLA and MMM. METHODS: A retrospective cohort study of all consecutive adult patients undergoing either MMM or PLA from 2009 to 2023 were identified. The primary outcome was development of epistaxis, paraesthesia, lacrimal injury, iatrogenic sinus dysfunction within a minimum of 3 months post-operative follow up. RESULTS: 39 patients (44 sides) underwent PLA and 96 (96 sides) underwent MMM. There were no statistically significant differences between the rates of paraesthesia (9.1 % vs 14.6 %, p = 0.367) or prolonged paraesthesia (2.3 % vs 5.2 %, p = 0.426), iatrogenic maxillary sinus dysfunction (2.3 % vs 5.2 %, p = 0.426) or adhesions requiring removal (4.5 % vs 4.2 %, p = 0.918). No cases of epiphora or nasal cavity stenosis occurred in either arm in our study. CONCLUSIONS: According to our data, the endoscopic modified medial maxillectomy and prelacrimal approach are both equally safe approaches with their own benefits to access.

Mepolizumab decreases tissue eosinophils while increasing type-2 cytokines in eosinophilic chronic rhinosinusitis.

BACKGROUND: Eosinophilic chronic rhinosinusitis is an often treatment-resistant inflammatory disease mediated by type-2 cytokines, including interleukin (IL)-5. Mepolizumab, a monoclonal antibody drug targeting IL-5, has demonstrated efficacy and safety in inflammatory airway disease, but there is negligible evidence on direct tissue response. The study's aim was to determine the local effect of mepolizumab on inflammatory biomarkers in sinonasal tissue of eosinophilic chronic rhinosinusitis patients. METHODS: Adult patients with eosinophilic chronic rhinosinusitis received 100mg mepolizumab subcutaneously at four-weekly intervals for 24 weeks in this prospective phase 2 clinical trial. Tissue eosinophil counts, eosinophil degranulation (assessed as submucosal eosinophil peroxidase deposition by immunohistochemistry) and cytokine levels (measured in homogenates by immunoassay) were evaluated in ethmoid sinus tissue biopsies collected at baseline and at weeks 4, 8, 16 and 24. RESULTS: Twenty patients (47.7 ± 11.7 years, 50% female) were included. Sinonasal tissue eosinophil counts decreased after 24 weeks of treatment with mepolizumab (101.64 ± 93.80 vs 41.74 ± 53.76 cells per 0.1 mm2 ; p = .035), eosinophil degranulation remained unchanged (5.79 ± 2.08 vs 6.07 ± 1.20, p = .662), and type-2 cytokine levels increased in sinonasal tissue for IL-5 (10.84 ± 18.65 vs 63.98 ± 50.66, p = .001), IL-4 (4.48 ± 3.77 vs 9.38 ± 7.56, p = .004), IL-13 (4.02 ± 2.57 vs 6.46 ± 3.99, p = .024) and GM-CSF (1.51 ± 1.74 vs 4.50 ± 2.97, p = .001). CONCLUSION: Mepolizumab reduced eosinophils in sinonasal tissue, demonstrating that antagonism of IL-5 suppresses eosinophil trafficking. With reduced tissue eosinophils, a local type-2 inflammatory feedback loop may occur. The study exposes mechanistic factors which may explain incomplete treatment response.

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.

Effect of monoclonal antibody drug therapy on mucosal biomarkers in airway disease: A systematic review.

BACKGROUND: Monoclonal antibody therapies have a growing role in treating refractory airway disease. OBJECTIVE: The review aimed to summarize the response of respiratory mucosa to monoclonal antibody treatments in inflammatory airway conditions. DESIGN: We conducted a systematic review including risk of bias assessment. DATA SOURCES: MEDLINE, EMBASE and PubMed from 1 January 2000 to 16 November 2019 were searched. ELIGIBILITY CRITERIA: Eligible studies assessed the immunological and histological response of airway mucosa to monoclonal antibody therapy compared with baseline or a comparison group in patients with respiratory diseases (asthma, chronic rhinosinusitis and allergic rhinitis). Any prospective interventional studies, including randomized controlled trials (RCTs) and single-arm trials, were eligible. RESULTS: There were 4195 articles screened, and full-text analysis produced n = 11 studies with extractable data. Nine were RCTs, and two were single-arm trials. These studies focused on asthma (n = 9 articles), chronic rhinosinusitis (n = 1) and allergic rhinitis (n = 1). Five monoclonal antibody drugs were assessed (omalizumab, mepolizumab, dupilumab, benralizumab and tralokinumab). Risk of bias was low (n = 6) or unclear (n = 3) in the RCTs and moderate in the single-arm trials. Omalizumab reduced the mucosal concentration of its target, IgE. Dupilumab reduced the concentration of one of its targets, IL-13, but not IL-4. Omalizumab, mepolizumab and benralizumab reduced tissue eosinophil cell density. Dupilumab decreased mucosal eosinophil granule proteins. Tralokinumab did not affect airway mucosa. CONCLUSIONS: Knowledge of the expected biological response of monoclonal antibody therapy on biomarkers in disease tissue provides an important supplement to data about clinical outcomes. An understanding of the biological effect is essential to identify likely responders, reasons for treatment failure and necessary adjustments to monoclonal antibody treatment. Further investigation into the effect of monoclonal antibody therapy on disease mucosa and more precise endotyping are required to move closer to achieving personalized medicine.

Turbinate loss from non-inflammatory sinonasal surgery does not correlate with poor sinonasal function.

OBJECTIVE: The impact of turbinate resection on nasal function remains a controversial topic. In surgery for inflammatory sinonasal disease, turbinate resection is often avoided. In contrast, turbinate tissue is routinely sacrificed in endoscopic tumor and skull base surgery to achieve negative margins or gain adequate exposure. Anecdotally, these patients experience good self-reported post-operative nasal function despite extensive turbinate tissue loss. This study investigates the impact of turbinate resection on self-reported sinonasal function following endoscopic tumor or skull base surgery. STUDY DESIGN: Retrospective case series. SETTING: Tertiary Australian Hospitals. SUBJECTS AND METHODS: A retrospective review was performed on consecutive post-surgical patients after management for non-inflammatory sinus disease such as tumor resection or endoscopic skull base reconstruction. Outcome variables assessed included a 6-point Likert score for nasal obstruction, a 13-point Likert score for global nasal function and a 5-question sleep score. The degree of turbinate tissue loss (0-4) was determined by the number of inferior or middle turbinate subtotal resections. Regression analysis was performed, accounting for the effect of relevant demographic variables (smoking; asthma; allergic status; gastroesophageal reflux; malignancy; vestibule mucositis) and treatment variables (subtotal septectomy; Draf III; nasal radiotherapy.) RESULTS: 294 patients (age 52.9 ±â€¯17.6 years, 51.0% female) were assessed. Number of turbinates resected was not associated with poorer nasal obstruction score, global nasal function score or sleep score (OR = 1.77[0.93-3.38], OR = 0.60[0.33-1.12], B = 0.56[-1.58-2.69] respectively). Allergy and Draf3 were found to improve postoperative global nasal function score (OR = 2.07[1.04-4.13], P = 0.04, OR = 3.97[1.08-14.49], P = 0.04, respectively). CONCLUSION: In patients where surgery was performed for non-inflammatory sinus disease, turbinate resection is not correlated with poorer postoperative nasal obstruction, sinonasal function nor sleep quality.

Osteitis in Chronic Rhinosinusitis.

PURPOSE OF REVIEW: Osteitis is recognized as a common factor in recalcitrant chronic rhinosinusitis (CRS). There is evidence for the association of osteitis with revision surgeries and CRS severity, in terms of higher Lund-Mackay scores. This is a narrative review on the osteitis in CRS patients. RECENT FINDINGS: Evidence to date is inconclusive with regard to the etiology and pathogenesis of this bony thickening. Histopathology of osteitis in primary CRS is likely a process of neo-osteogenesis and bone remodeling. For better understanding, various associating factors have been studied including an inflammatory pattern of rhinosinusitis. Recent studies have associated osteitis with nasal polyps and tissue eosinophilia with the increase in periostin expression and P-glycoprotein mucosal expression. There is no association of osteitis to symptoms or quality of life. Osteitis is an outcome of neo-osteogenesis rather than inflammatory processes in CRS patients without a prior history of surgery. While CT has become a staple in osteitis assessment, the standards for grading osteitic severity remain in an experimental stage. There is no association between the presence or severity of osteitis at the time of surgery and clinical outcomes at 1 year after surgery. This review provides a comprehensive overview of the pathogenesis, epidemiology, and correlation with clinical and biological factors of osteitis in CRS patients.

WITHDRAWN: Topical and systemic antifungal therapy for the symptomatic treatment of chronic rhinosinusitis.

BACKGROUND: Chronic rhinosinusitis (CRS) is an inflammatory disorder of the nose and sinuses. Since fungi were postulated as a potential cause of CRS in the late 1990s, there has been increasing controversy about the use of both topical and systemic antifungal agents in its management. Although interaction between the immune system and fungus has been demonstrated in CRS, this does not necessarily imply that fungi are the cause of CRS or that antifungals will be effective its management. OBJECTIVES: To assess the effectiveness of topical or systemic antifungal therapy in the treatment of CRS. SEARCH METHODS: We searched the Cochrane Ear, Nose and Throat Disorders Group Trials Register; the Cochrane Central Register of Controlled Trials (CENTRAL); PubMed; EMBASE; CINAHL; Web of Science; BIOSIS Previews; Cambridge Scientific Abstracts; ICTRP and additional sources for published and unpublished trials. The date of the most recent search was 8 March 2011. SELECTION CRITERIA: All randomised, placebo-controlled trials considering the use of topical or systemic antifungal therapy in the treatment of CRS and allergic fungal sinusitis (AFS). CRS was defined using either the European Position Paper on Rhinosinusitis and Nasal Polyps (EPOS) or American Academy of Otolaryngology - Head and Neck Surgery (AAO-HNS) criteria. DATA COLLECTION AND ANALYSIS: We reviewed the titles and abstracts of all studies obtained from the searches and selected trials that met the eligibility criteria. We extracted data using a pre-determined data extraction form. There was significant heterogeneity of outcome data reporting with reports containing both parametric and non-parametric representations of data for the same outcomes. Means and standard deviations for change data were unavailable for a number of trials. Due to the limited reported data, we contacted authors and used original data for data analysis. MAIN RESULTS: Six studies were included (380 participants). Five studies investigated topical antifungals and one study investigated systemic antifungals. The risk of bias in all included studies was low, with all trials being double-blinded and randomised. Pooled meta-analysis showed no statistically significant benefit of topical or systemic antifungals over placebo for any outcome. Symptom scores in fact statistically favoured the placebo group. Adverse event reporting was statistically significantly higher in the antifungal group. AUTHORS' CONCLUSIONS: On the basis of this meta-analysis, there is no evidence to support the use of either topical or systemic antifungal treatment in the management of CRS.

Utility of narrow band imaging in the diagnosis of middle turbinate head edema.

PURPOSE: Middle turbinate head edema has recently been found to have high specificity for diagnosis of inhalant allergy. However, subtle mucosal edema can be difficult to appreciate under white light endoscopy. Narrow band imaging (NBI) has the potential to demonstrate edema by identifying reduced mucosal vascularity and improve sensitivity for the detection of mucosal edema. Narrow band imaging was assessed to determine its utility in objectifying mucosal edema. MEATERIALS AND METHODS: A cross-sectional diagnostic study was performed on patients with edematous mucosa of the middle turbinate head. Under traditional white light endoscopy, areas of edematous mucosa were identified. Using NBI, these areas were compared to areas of normal mucosa on the middle turbinate head. NBI images of these same areas were then converted to grey scale and a vascularity index was created by pixel analysis and brightness in Fiji Image J software (Wisconsin, US). RESULTS: Thirty-three middle turbinates were assessed (age 42.4 ±â€¯12.5, 42.4% female). NBI discriminated between areas identified under white light endoscopy as edematous and normal (158.2 ±â€¯48.4 v 96.9 ±â€¯32.7 p < 0.01). Receiver operating curve (ROC) analysis suggested a threshold of 115 brightness units to define endoscopically visible edematous mucosa with sensitivity 70% and specificity 79% (ROC AUC, p = 0.85). CONCLUSIONS: NBI can differentiate edematous from normal mucosa. The potential for an objective measure of mucosal edema may assist research efforts and may provide a more sensitive tool for subtle mucosal inflammatory changes.

Headache in Patients with Sellar Disease: Clinicomorphological Predictors of Headache and the Outcome of Endoscopic Transsphenoidal Surgery.

Objectives Sellar pathologies are frequently found on imaging performed to investigate headache. However, both headache and incidental sellar lesions are common. Hence, this study prospectively examined headache prevalence, phenotype, and severity in patients with sellar pathologies and the impact of transsphenoidal surgery on headache. Methods Patients undergoing transsphenoidal resection of sellar lesions were consecutively recruited. At baseline, participants were defined as having headache or not and headache phenotype was characterized using validated questionnaires. Headache severity was assessed at baseline and 6 months postoperatively using the Headache Impact Test-6 (HIT-6) and Migraine Disability Assessment Score (MIDAS). Tumor characteristics were defined using radiological, histological, and endocrine factors. Primary outcomes included baseline headache prevalence and severity and headache severity change at 6 months postoperatively. Correlation between headache and radiological, histological, and endocrine characteristics was also of interest. Results Sixty participants (62% female, 47.1 ± 18.6 years) were recruited. Sixty-three percent possessed baseline headache. HIT-6 scores were higher in patients with primary headache risk factors, including younger age (R 2 = -0.417, p = 0.010), smoking history (63.31 ± 7.93 vs 54.44 ± 9.21, p = 0.0060), and family headache history (68.13 ± 7.01 vs 54.94 ± 9.11, p = 0.0030). Headaches were more common in patients with dural invasion (55.70 ± 12.14 vs 47.18 ± 10.15, p = 0.027) and sphenoid sinus invasion (58.87 ± 8.97 vs 51.29 ± 10.97, p = 0.007). Postoperative severity scores improved more with higher baseline headache severity (HIT-6: R 2 = -0.682, p < 0.001, MIDAS: R 2 = -0.880, p < 0.0010) and dural invasion (MIDAS: -53.00 ± 18.68 vs 12.00 ± 17.54, p = 0.0030). Conclusion Headaches in sellar disease are likely primary disorders triggered or exacerbated by sellar pathology. These may respond to surgery, particularly in patients with severe headache and dural invasion.

Modelling the effects of post-FESS middle turbinate synechiae on sinonasal physiology: A computational fluid dynamics study.

OBJECTIVE(S): Chronic rhinosinusitis (CRS) is common and often requires surgical intervention. Surgical failure may lead to persistent symptoms and recalcitrant disease, often secondary to synechiae between the middle turbinate (MT) and lateral nasal wall. Synechiae prevention techniques have been extensively investigated, however evidence for the effect of synechiae on sinonasal physiology is lacking. We aimed to model the effects of MT synechiae on a post-functional endoscopic sinus surgery (FESS) sinonasal cavity using computational fluid dynamics (CFD). METHODS: DICOM data from a CT-sinus of a healthy 25-year-old female was segmented to create a three-dimensional model. Virtual surgery was performed to simulate a "full-house" FESS procedure. Multiple models were created, each with a single unilateral virtual MT synechia of varying extent. CFD analysis was performed on each model and compared with a post-FESS control model without synechiae. Airflow velocity, humidity and mucosal surface and air temperature values were calculated. RESULTS: All synechiae models demonstrated aberrant downstream sinonasal airflow. There was reduced ventilation of the ipsilateral frontal, ethmoid and sphenoid sinuses, with a concentrated central "jet" in the middle meatus region. Effects were proportionate to the size of synechiae. The impact on bulk inspired airflow was negligible. CONCLUSION: Post-FESS synechiae between the MT and lateral nasal wall significantly disrupt local downstream sinus ventilation and nasal airflow. These findings may explain the persistent symptoms seen in post-FESS CRS patients with MT synechiae, reinforcing the importance of prevention and adhesiolysis. Larger cohort studies with multiple models of actual post-FESS patients with synechiae are required to validate these findings.

A Deep Learning Algorithm to Identify Anatomical Landmarks on Computed Tomography of the Temporal Bone.

BACKGROUND: Petrous temporal bone cone-beam computed tomography scans help aid diagnosis and accurate identification of key operative landmarks in temporal bone and mastoid surgery. Our primary objective was to determine the accuracy of using a deep learning convolutional neural network algorithm to augment identification of structures on petrous temporal bone cone-beam computed tomography. Our secondary objective was to compare the accuracy of convolutional neural network structure identification when trained by a senior versus junior clinician. METHODS: A total of 129 petrous temporal bone cone-beam computed tomography scans were obtained from an Australian public tertiary hospital. Key intraoperative landmarks were labeled in 68 scans using bounding boxes on axial and coronal slices at the level of the malleoincudal joint by an otolaryngology registrar and board-certified otolaryngologist. Automated structure identification was performed on axial and coronal slices of the remaining 61 scans using a convolutional neural network (Microsoft Custom Vision) trained using the labeled dataset. Convolutional neural network structure identification accuracy was manually verified by an otolaryngologist, and accuracy when trained by the registrar and otolaryngologist labeled datasets respectively was compared. RESULTS: The convolutional neural network was able to perform automated structure identification in petrous temporal bone cone-beam computed tomography scans with a high degree of accuracy in both axial (0.958) and coronal (0.924) slices (P < .001). Convolutional neural network accuracy was proportionate to the seniority of the training clinician in structures with features more difficult to distinguish on single slices such as the cochlea, vestibule, and carotid canal. CONCLUSION: Convolutional neural networks can perform automated structure identification in petrous temporal bone cone-beam computed tomography scans with a high degree of accuracy, with the performance being proportionate to the seniority of the training clinician. Training of the convolutional neural network by the most senior clinician is desirable to maximize the accuracy of the results.

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.

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.

Bacterial colonization differences between central compartment atopic disease and eosinophilic chronic rhinosinusitis.

KEY POINTS: Culturable bacterial colonization is similar between type 2 CRS phenotypes Staphylococcus aureus coinfection is similar between eosinophilic CRS and CCAD Patients with CCAD were younger, consistent with current knowledge of the disease.

A Scoping Review of Artificial Intelligence Research in Rhinology.

BACKGROUND: A considerable volume of possible applications of artificial intelligence (AI) in the field of rhinology exists, and research in the area is rapidly evolving. OBJECTIVE: This scoping review aims to provide a brief overview of all current literature on AI in the field of rhinology. Further, it aims to highlight gaps in the literature for future rhinology researchers. METHODS: OVID MEDLINE (1946-2022) and EMBASE (1974-2022) were searched from January 1, 2017 until May 14, 2022 to identify all relevant articles. The Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews checklist was used to guide the review. RESULTS: A total of 2420 results were identified of which 62 met the eligibility criteria. A further 17 articles were included through bibliography searching, for a total of 79 articles on AI in rhinology. Each year resulted in an increase in the number of publications, from 3 articles published in 2017 to 31 articles published in 2021. Articles were produced by authors from 22 countries with a relative majority coming from the USA (19%), China (19%), and South Korea (13%). Articles were placed into 1 of 5 categories: phenotyping/endotyping (n = 12), radiological diagnostics (n = 42), prognostication (n = 10), non-radiological diagnostics (n = 7), surgical assessment/planning (n = 8). Diagnostic or prognostic utility of the AI algorithms were rated as excellent (n = 29), very good (n = 25), good (n = 7), sufficient (n = 1), bad (n = 2), or was not reported/not applicable (n = 15). CONCLUSIONS: AI is experiencing an increasingly significant role in rhinology research. Articles are showing high rates of diagnostic accuracy and are being published at an almost exponential rate around the world. Utilizing AI in radiological diagnosis was the most published topic of research, however, AI in rhinology is still in its infancy and there are several topics yet to be thoroughly explored.

Endoscopic Endonasal Biopsy for Diagnosis of Undifferentiated Lesions of the Cavernous Sinus.

BACKGROUND: Radiologically undifferentiated lesions of the cavernous sinus can pose a diagnostic challenge. Although radiotherapy is the mainstay for treatment of cavernous sinus lesions, histologic diagnosis allows access to a wide variety of alternative treatment modalities. The region is considered a high-risk area for open transcranial surgical access, and the endoscopic endonasal approach presents an alternative technique for biopsy. METHODS: A retrospective case series was performed of all patients undergoing endoscopic endonasal biopsy of isolated cavernous sinus lesions at 2 tertiary institutions. The primary outcomes were the percentage of patients in whom a histologic diagnosis was achieved and the proportion of patients in whom therapy differed from radiotherapy alone. Secondary outcomes included preoperative and postoperative 22-item Sino-Nasal Outcome Test symptom scores, as well as perioperative adverse outcomes. RESULTS: Eleven patients underwent endoscopic endonasal biopsy, with a diagnosis achieved in 10 patients. The most common diagnosis was perineural spread of squamous cell carcinoma, followed by perineuroma and single cases of metastatic melanoma, metastatic adenoid cystic carcinoma, mycobacterium lepri infection, neurofibroma, and lymphoma. Six patients had treatments other than radiotherapy, including immunotherapy, antibiotics, corticosteroids, chemotherapy, and observation alone. There was no significant difference in prebiopsy and postbiopsy 22-item Sino-Nasal Outcome Test scores. There was 1 case of epistaxis requiring return to theater for cautery of the sphenopalatine artery and there were no mortalities. CONCLUSIONS: In a limited case series, endoscopic endonasal biopsy was safe and effective in obtaining diagnosis for cavernous sinus lesions and had a significant impact on therapeutic decision making.

The Modified Medial Maxillectomy as a Radical or Extended,-yet Still Functional,-Technique in Sinus Surgery.

BACKGROUND: Endoscopic sinus surgery with a middle meatal antrostomy is a common intervention in the treatment algorithm for maxillary sinus pathologies. However, this procedure has its origins in a time when simple ventilation of the sinus cavity was the primary (and only often) goal of surgery. In some patients, persistent mucociliary dysfunction occurs despite ventilatory surgery. Although the endoscopic modified medial maxillectomy (MMM) was originally described for tumour surgery, it provides a radical yet still functional option to overcome chronic sinus dysfunction. OBJECTIVE: The goal of this study was to describe the functional status of a post-MMM sinus cavity. METHODS: A consecutive series of patients who underwent at least a unilateral MMM by three tertiary rhinologists were retrospectively reviewed. Prospectively collected data included patient demographics (including age, gender, smoking status and comorbidities), disease-specific factors, microbiology, and preoperative patient-reported symptoms based on the 22-item Sinonasal Outcome Test-22 (SNOT-22) and radiology. The primary outcome of the study was the presence of sinus dysfunction, defined by mucostasis or pooling on endoscopic examination at the last follow-up. Secondary outcomes included the need for revision surgery as a result of sinus dysfunction and the improvement in SNOT-22 score. RESULTS: A total of 551 medial maxillectomies (47.0% female, 52.9 ± 16.8 years) were performed. Very few patients experienced post-operative sustained mucostasis following MMM (10.2%) and even fewer required revision surgery (5.0%). Chronic obstructive pulmonary disease (odds ratio (OR) = 6.82, P < 0.002.) and asthma (OR = 2.48, P = 0.03) were associated with mucostasis. Patients who underwent an MMM experienced a notable postoperative improvement in SNOT-22 score (45.9 ± 23.7 (pre-op) vs. 23.6 ± 19.4 (post-op); paired t-test, P < 0.0001). CONCLUSION: The MMM, whether performed for access to pathology or with the intent to avoid mucous 'sumping' with the sinus, can provide a long-term functional maxillary sinus cavity with minimal morbidity.

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.

Predictors of persistent disease in biologic treated type 2 diffuse/eosinophilic chronic rhinosinusitis undergoing surgery.

BACKGROUND: Biologic therapy targeting type 2 chronic rhinosinusitis with nasal polyps (CRSwNP) has greatly improved disease control but nonresponders exist in a proportion of patients in phase 3 trials and clinical practice. This study explores the serum and histologic changes in biologic treated CRSwNP that predict disease control. METHODS: A cross-sectional study was performed of patients with CRSwNP on biologics for their asthma, who underwent endoscopic sinus surgery while on biologic therapy. At the 6-month postoperative assessment, patients with poorly controlled CRSwNP while on biologic therapy were compared to patients who were controlled. Blood and mucosal samples taken at the time of surgery 6 months prior were assessed to predict disease control. RESULTS: A total of 37 patients were included (age 47.8 ± 12.4 years, 43.2% female). Those with poorly controlled disease had reduced tissue eosinophils (% >100 cells/high-powered field: 8.3% vs. 50.0%, p < 0.001) and increased serum neutrophils (5.2 ± 2.7 vs. 3.7 ± 1.1 × 109 cells/L, p = 0.02). Logistic regression analysis demonstrated that reduced tissue eosinophil was predictive for poorly controlled disease (OR = 0.21, 95% CI [0.05, 0.83], p = 0.03). Receiver-operating characteristic analysis showed that need for rescue systemic corticosteroid was predicted at a serum neutrophil cut-off level of 5.75 × 109 cells/L (sensitivity = 80.0%, specificity = 96.9%, AUC = 0.938, p = 0.002). CONCLUSION: Low tissue eosinophils and increased serum neutrophils while on biologics predict for poor response in the biological treatment of with CRSwNP. A serum neutrophil level of ≥5.75 × 109 cells/L predicts for poor response to current biologic therapy.