Molecular Factors in Carcinoma Ex Pleomorphic Adenoma: Systematic Review and Meta-Analysis.

OBJECTIVE: Carcinoma ex pleomorphic adenoma (CXPA) is a rare malignant salivary gland tumor. Although multiple reviews have been published on salivary gland malignancies, it has been a decade since the last dedicated systematic review pertaining to CXPA alone was published. This study examines molecular factors in CXPA diagnosis. DATA SOURCES: MEDLINE, CINAHL, Embase, Scopus, Web of Science (BIOSIS), Cochrane CENTRAL, Health Collection (Informit), OpenDOAR, and GreyNet International. REVIEW METHODS: Systematic review and meta-analysis from inception to October 31, 2022 for all English language studies pertaining to "carcinoma ex pleomorphic adenoma." Predicted incidence of each biomarker was calculated with meta-analysis. Comparison against pleomorphic adenoma (PA) and salivary duct carcinoma (SDC) when reported within the same study are performed. Risk of bias performed with JBI tool for prevalence studies. RESULTS: Of 19151 unique studies undergoing abstract screening, 55 studies (n = 1322 patients) underwent data analysis. Biomarkers with >3 studies were p53, HER2, AR, EGFR, PLAG1, ERBB, ER, PR, HMGA2, p16, p63, a-SMA, RAS, PTEN, PDL1, BRAF, PIK3CA, and c-kit. Highest incidence was seen in AR, EGFR, p16, and p53. Significant differences were demonstrated compared with PA and SDC. There was high heterogeneity and overall high risk of bias within studies. CONCLUSION: Molecular factors are an area of interest in the diagnosis of CXPA. Our study results support examining CXPA as a discrete cohort in future targeted therapy trials. Laryngoscope, 134:1042-1053, 2024.

Systematic Review of Intracochlear Measurements and Effect on Postoperative Auditory Outcomes after Cochlear Implant Surgery.

OBJECTIVE: Quality and adequacy of the electrode neuron interface (ENI) is postulated to be a determining factor in affecting auditory outcomes after cochlear implantation. This study aims to review radiological parameters affecting ENI, including angular insertion (AngI), wrapping factor (WF), scalar translocation (ScaT), and electrode-modiolar distance (EMD) and their effect on auditory outcomes. DATABASES REVIEWED: PubMed, MEDLINE, Embase, Scopus, OpenGrey, and Google Scholar from inception to 01 September 2022. METHODS: Inclusion criteria were (i) all humans with any cochlear implant (CI); (ii) postoperative cross-sectional imaging with electrode position factors of AngI, ScaT, EMD, and/or WF; and (iii) associated auditory outcomes. Search was restricted to English-language literature. Two independent reviewers performed title and abstract screening, data extraction, and ROBINS-I risk of bias assessment. Formal statistical analysis not performed due to data heterogeneity. PROSPERO (CRD42022359198). RESULTS: Thirty-one studies (n = 2,887 patients, 3,091 electrodes) underwent qualitative synthesis. Higher AngI (n = 1921 patients) demonstrated positive correlation in 11 studies, no correlation in eight studies, and negative correlation in four studies. ScaT (n = 2,115 patients) demonstrated negative correlation in 12 studies, none in six studies, and one unclear correlation. Larger EMD (n = 240 patients) showed negative correlation in two studies, no correlation in one, and unclear correlation in one study. Smaller WF (n = 369 patients) demonstrated no correlation in three studies and positive correlation in one study. CONCLUSIONS: Our study finds variable reported relationship between AngI and auditory outcomes. CI electrodes with a ScaT or larger EMD are more likely to exhibit poorer outcomes, and WF does not correlate with outcomes.

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.

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.

Parosteal Osteolipoma in the External Auditory Canal: A Rare Variant of Lipoma.

Osteolipomas are a rare variant of lipomas. We present a case of osteolipoma of external audiotry canal in a 30 year old lady who presented with right sided ear fullness since 2 years. A well circumscribed mass was found arising from right bony external audiotry canal. Computed tomography revealed a calcified lesion measuring 9 × 7 mm in the cartilaginous portion of right external auditory canal. Diagnosis of Osteolipomas was made histologically and patient was treated with simple excision of the mass under local anaesthesia.

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.

Systematic review of prognostic factors in carcinoma ex pleomorphic adenoma.

OBJECTIVES: Carcinoma ex Pleomorphic Adenoma (CXPA) is a rare primary salivary gland malignancy, typically arising from a pre-existing pleomorphic adenoma. This systematic review examines prognostic factors affecting overall survival (OS) in major and minor salivary gland CXPA. MATERIALS AND METHODS: Systematic review of MEDLINE, Cochrane, Scopus, Web of Science, CINAHL, and Open Grey databases from inception to 31st March 2022 for all English-language literature pertaining to 'carcinoma ex pleomorphic adenoma'. All study types with greater than five patients with CXPA of the major and minor salivary glands were eligible for inclusion. RESULTS: Of 8143 studies, 39 studies (n = 5637 patients) meeting the inclusion criteria were included. Median OS at one, three, five, and ten years were 90.0 %, 72.0 %, 61.9 %, and 45.0 % respectively for all CXPA. Higher staging, T stage, nodal disease, grading, and invasion ≥ 1.5 mm had worse outcomes. Histological subtype, perineural invasion, and radiotherapy did not demonstrate a consistent trend. Three studies were evaluated to have high risk of bias, and was removed for sensitivity analysis. CONCLUSION: Survival outcomes worsen with time for all salivary gland CXPA. Further research on histopathological features and the utility of radiation therapy is required to guide patient selection for more aggressive treatment. REGISTRATION: CRD42021238544 (PROSPERO).

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.

Risk Factors for Facial Nerve and Other Nonauditory Side Effects Following Cochlear Implantation.

OBJECTIVE: The purpose of this study was to characterize a cohort of patients with nonauditory side-effects (NASx) following cochlear implant (CI) surgery. STUDY DESIGN: Retrospective case review. SETTING: Tertiary referral center. PATIENTS: One hundred twenty three multichannel CI recipients with intraoperative facial nerve stimulation (FNS). INTERVENTIONS: Intraoperative electrical auditory brainstem responses (eABR) during CI surgery. MAIN OUTCOME MEASURES: Nonauditory side effects post-CI activation. RESULTS: Intraoperative FNS was identified in 2.26% of patients (123/5441), of whom, 34% (42/123) experienced VII stimulation on CI activation. Pain was experienced by 22% (27/123) and vestibular dysfunction was experienced by 4% (5/123) of cases. All case who experienced pain and/or vestibular NASx also experienced VII stimulation. The majority of cases were managed by CI remapping or observation and habituation.Significant relationships were found between etiology of hearing loss and presence of FNS upon initial activation (p < 0.05). No significance was found between FNS intraoperatively and at initial activation for all assumed mechanisms of hearing loss (p > 0.05) with the exceptions of acquired hearing loss of undetermined etiology and toxic etiology group (p < 0.05).There was no significant impact of implant array design (p > 0.05). CONCLUSIONS: This study has characterized patients with NASx in a large cohort of CI patients. One third of cases identified with FNS intraoperatively, developed NASx post-CI activation. Risk factors for NASx postactivation include high-risk etiologies and intraoperative objective measures (i.e., eABR). This may assist surgeons and audiologists to identify at-risk patients who may need modifications in CI program planning.

Systematic review and meta-analysis of cervical metastases in oral maxillary squamous cell carcinoma.

BACKGROUND: Management of the node-negative neck in oral maxillary squamous cell carcinoma (SCC), encompassing the hard palate and upper alveolar subsites of the oral cavity, is controversial, with no clear international consensus or recommendation regarding elective neck dissection in the absence of cervical metastases. AIM: To assess the occult metastatic rate in patients with clinically node negative oral maxillary SCC; both as an overall metastatic rate, and a comparison of patients managed with an elective neck dissection at index surgery, compared to excision of the primary with clinical observation of the neck. METHODS AND RESULTS: A systematic review was performed by two independent investigators for studies relating to oral maxillary SCC and analysed according to PRISMA criteria. Data were extracted from Pubmed, Ovid MEDLINE, EMBASE, and SCOPUS via relevant MeSH terms. Grey literature was searched through Google Scholar and OpenGrey. Five hundred and fifty-three articles were identified on the initial search, 483 unique articles underwent screening against eligibility criteria, and 29 studies were identified for final data extraction. Incidence of occult metastases in patients with clinically node negative oral maxillary SCC was identified either on primary elective neck dissection or on routine follow up. Meta-analyses were performed. Of 553 relevant articles identified on initial search, 29 were included for analysis. The pooled overall rate of occult metastases in patients initially presenting with clinically node-negative disease was 22.2%. There is a statistically significant effect of END on decreasing regional recurrence demonstrated in this study (RR 0.36, 95% CI 0.24, 0.59). CONCLUSION: The results of this systematic review and meta-analysis suggest elective neck dissection for patients presenting with hard palate or upper alveolar SCC, even in a clinically node negative neck.

Buccal space tumours.

OBJECTIVE: To review the available literature as it pertains to the buccal space with a specific focus on the pathologies encountered within this space. Clinical presentation, investigations, and surgical approaches to the region are also reviewed. METHODS: A systematic review of the available literature was performed on buccal space tumours from 1980 to 2017. Data was extracted on clinical presentation, investigations and surgical approaches to the buccal space. The pathologies encountered in the buccal space were reviewed and presented. RESULTS: Forty-nine unique articles were reviewed, with a total 217 patients. The age of the patients ranged from 0 to 83 with a mean age of 45.8. A total of 51 pathologies were reported. The majority of these were vascular and salivary gland pathologies. The majority of salivary gland neoplasms were malignant. However a wide variety of benign and malignant soft tissue tumours were also reported to occur in this region. CONCLUSIONS: The buccal space is a small and complex region with a variety of pathologies occurring within it. This review clarifies the differential diagnosis of a mass which presents in this area and the pathologies which occur within it.

Neuroendocrine Adenoma of the Middle Ear: A Rare Histopathological Diagnosis.

Neuroendocrine tumours occur throughout the body but are rare in the head and neck region and particularly rare in the middle ear. Clinical findings are often nonspecific and therefore pose a diagnostic challenge. Furthermore, the nomenclature of neuroendocrine tumours of the middle ear is historically controversial. Herein a case is presented of a middle ear adenoma in a 33-year-old patient who presented with otalgia, hearing loss, and facial nerve palsy. A brief discussion is included regarding the histopathological features of middle ear adenomas and seeks to clarify the correct nomenclature for these tumours.

Bilateral stage I chronic maxillary atelectasis: A case report.

INTRODUCTION: Chronic maxillary atelectasis (CMA) is a rare acquired condition of persistent and progressive reduction in maxillary sinus volume and antral wall collapse secondary to ostiomeatal obstruction and development of negative intra-sinus pressure gradients. CASE PRESENTATION: A 32-year old male was referred with a 6 week history of persistent and worsening sinonasal symptoms, following a significant upper respiratory tract infection. Imaging confirmed bilateral stage I CMA and successful treatment entailed bilateral endoscopic uncinectomy and maxillary antrostomy. DISCUSSION: Review of the literature has demonstrated CMA to describe an all-encompassing disease process of ostiomeatal obstruction and atelectatic maxillary sinus remodelling that overcomes early variations in taxonomy ('silent sinus syndrome', 'imploding antrum syndrome', 'acquired maxillary sinus hypoplasia') and inconsistencies in reporting. Unilateral CMA is well documented, however a systematic search of the literature reveals only six bilateral cases. To the best of our knowledge, this is the first individual report of bilateral stage I CMA in which the inciting event is established and a uniquely rapid progress of disease followed. CONCLUSION: The present literature regarding CMA is incomplete and further investigation is required to provide greater insight into its aetiology and pathogenesis. Minimally invasive endoscopic approaches can be employed to re-establish aeration to the affected maxillary sinus for symptomatic relief, to halt disease progression and facilitate antral remodelling and sinus re-expansion.

Options for configuring the scapular free flap in maxillary, mandibular, and calvarial reconstruction.

BACKGROUND: A number of microvascular free-flap tissue transfer techniques exist for reconstruction of head and neck defects. The scapular free flap is a versatile option that can be used for a wide variety of defects in this complex region. METHODS: A series of 42 free flaps from 41 patients was retrospectively identified from the senior author's (J.R.C.) [corrected] database between 2006 and 2012. Information regarding patient demographics, indication for surgery, type of flap, reconstructive methods, complications, and prosthodontic outcome were reviewed and have been described. RESULT: A wide range of defects were reconstructed using the scapular free flap. Of the 42 reconstructions, 24 were for mandibular, 13 were for maxillary, and five were for calvarial reconstruction. The patients' ages ranged from 28 to 82 years, with a median of 70 years. Dental restoration was achieved in eight patients with maxillary reconstruction and two patients with mandibular reconstruction. There were 11 major complications, including two total flap failures. CONCLUSIONS: The authors have found the scapular free flap to be a reliable, robust, and versatile flap that provides an unparalleled range of reconstructive options, with minimal donor-site morbidity. Thus, the authors believe that the scapular free flap is a valuable reconstructive option for patients with complex head and neck defects and in patients in whom comorbid disease contraindicates the use of the fibular free flap.

Risk factors for breast cancer in patients treated at NORI Hospital, Islamabad.

OBJECTIVE: To assess the risk factors for breast cancer in women attending Nuclear Medicine, Oncology and Radiotherapy Institute (NORI) hospital, Islamabad. METHOD: A case control study was conducted at NORI from January to July 2005. A total 300 females, including 150 cases and their age matched healthy 150 controls were included. Cases had newly diagnosed breast cancer based on histopathological findings. Marital status, family history of breast cancer (first degree relatives), breast feeding history (12 months at least), smoking, parity, use of oral contraceptives (regular uptake for at least one year), and menopausal status were evaluated as risk factors for breast cancer. Demographical data and risk factor related information were collected using a short structured questionnaire. Logistic regression analysis was performed to note predictive effect of each factor on risk for breast cancer. P < 0.05 was considered statistically significant. RESULTS: No history of breast-feeding (p = < 0.001), less parity (p = 0.001), smoking (p = 0.001), postmenopausal status (p = 0.002), family history of breast cancer (p = 0.006), unmarried status (p = 0.008), and use of contraceptive pill (p = 0.03) were associated with breast cancer. CONCLUSION: Lack of breast-feeding, less parity, and smoking are most significantly associated with breast cancer in patients attending NORI.

A 12 years audit of upper gastrointestinal endoscopic procedures.

OBJECTIVE: Evaluation of upper gastrointestinal (GI) endoscopy in terms of indications, diagnostic efficacy, and diseases diagnosed. DESIGN: Retrospective, observational case series. PLACE AND DURATION OF STUDY: DHQ Teaching Hospital, Rawalpindi, from March 1990 to December 2001. SUBJECTS AND METHODS: Patients who underwent upper GI endoscopy in 12 years were included. Upper GI endoscopies were performed according to standard protocol. Endoscopic diagnoses were based on widely accepted criteria. RESULTS: Of the 8481 patients, 4935 (58.2%) were female and 3546 (41.8%) male. Mean patient age was 40.5 years. Dyspepsia (42.6%), upper GI bleed (32.8%), and evaluation of chronic liver disease (10.2%) were common indications of the procedure. An endoscopic diagnosis was possible in 82.6% patients. Varices, gastritis, duodenitis, and combined lesions were common endoscopic diagnosis. Gastritis and duodenitis were most frequent causes of upper GI bleed. We noted more gastric ulcers compared to duodenal ulcers. Females had significantly more normal endoscopies, p-value=0.02. CONCLUSION: Upper GI endoscopy is an effective procedure. Dyspepsia evaluation is commonest indication for upper GI endoscopy in our patients. Etiology of upper GI bleed, and incidence of duodenal ulcer compared to gastric ulcer in our patients are different than described in literature. Females have significantly more normal endoscopies.