Articles: paranasal-sinuses-diagnostic-imaging.
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A 14-year old girl presented with history of productive cough since the age of 3 years. For the past 6 years, she complained of chest tightness and wheezing. There was also nasal stuffiness and discharge for the past 6 years. ⋯ There was no history of respiratory distress at the time of birth. Her brother also suffered from productive cough and wheezing since the age of 3 years. However, both her parents were asymptomatic.
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Comparative Study
Prediction of age and sex from paranasal sinus images using a deep learning network.
This study was conducted to develop a convolutional neural network (CNN)-based model to predict the sex and age of patients by identifying unique unknown features from paranasal sinus (PNS) X-ray images. We employed a retrospective study design and used anonymized patient imaging data. Two CNN models, adopting ResNet-152 and DenseNet-169 architectures, were trained to predict sex and age groups (20-39, 40-59, 60+ years). ⋯ CAM suggested that the maxillary sinus and the periodontal area were primary factors in identifying age groups. Our deep learning model could predict sex and age based on PNS X-ray images. Therefore, it can assist in reducing the risk of patient misidentification in clinics.
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Olfactory dysfunction in coronavirus disease-2019 (COVID-19) is poorly understood. Thus, mechanistic data are needed to elucidate the pathophysiological drivers of anosmia of COVID-19. ⋯ We did not find significant mucosal changes or olfactory cleft abnormality on CT imaging in patients with anosmia of COVID-19. Conductive causes of anosmia (i.e., mucosal disease) do not seem play a significant role in anosmia of COVID-19.
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Even being equipped with advanced surgical navigation systems, thorough analysis of patient's imaging diagnosis before procedures is still of great necessity for the operators. This study aimed to explore the morphological changes of sphenoid sinus lesions as observed on computed tomography (CT), and further carry out the fenestration of sphenoid sinus under guidance of the CT. A retrospective analysis of the characteristics of CT images was performed. ⋯ No significant difference was observed in the curative effects among the 3 groups. CT of the paranasal sinus can guide the procedures of sphenoid sinus fenestration. No statistically significant differences were exhibited in terms of the amount of bleeding, surgical time and days of hospitalization among the 3 groups.