ObjectiveConvolutional neural networks are a subclass of deep learning or artificial intelligence that are predominantly used for image analysis and classification. This proof-of-concept study attempts to train a convolutional neural network algorithm that can reliably determine if the middle turbinate is pneumatised (concha bullosa) on coronal sinus computed tomography images.MethodConsecutive high-resolution computed tomography scans of the paranasal sinuses were retrospectively collected between January 2016 and December 2018 at a tertiary rhinology hospital in Australia. The classification layer of Inception-V3 was retrained in Python using a transfer learning method to interpret the computed tomography images. Segmentation analysis was also performed in an attempt to increase diagnostic accuracy.ResultsThe trained convolutional neural network was found to have diagnostic accuracy of 81 per cent (95 per cent confidence interval: 73.0–89.0 per cent) with an area under the curve of 0.93.ConclusionA trained convolutional neural network algorithm appears to successfully identify pneumatisation of the middle turbinate with high accuracy. Further studies can be pursued to test its ability in other clinically important anatomical variants in otolaryngology and rhinology.

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ObjectiveChronic maxillary atelectasis is a rare and underdiagnosed condition in which there is a persistent and progressive decrease in maxillary sinus volume secondary to inward bowing of the antral walls. Chronic maxillary atelectasis is typically unilateral. Simultaneous bilateral chronic maxillary atelectasis is extremely uncommon.MethodsA retrospective review was performed of patient data collected by the senior clinician over a three-year period (2015–2018). A comprehensive literature search was conducted to locate all documented cases of chronic maxillary atelectasis in English-language literature. Abstracts and full-text articles were reviewed.ResultsThree patients presented with sinonasal symptoms. Imaging findings were consistent with bilateral chronic maxillary atelectasis. The literature review revealed at least nine other cases of bilateral chronic maxillary atelectasis. Management is typically via endoscopic middle meatus antrostomy.ConclusionChronic maxillary atelectasis was initially defined as a unilateral disorder, but this description has been challenged by reports of bilateral cases. Further investigation is required to determine the aetiology and pathophysiology of the disease.