OBJECTIVE: To study surgical techniques and clinical applications of the intranasal endoscopic combined approach in maxillary sinus benign lesions surgery. METHOD: A retrospective clinical analysis of 27 patients "whose unilateral maxillary sinus benign lesions operated by the intranasal endoscopic middle meatus with inferior meatus tears recess approach surgical treatment was studied. RESULT: Benign lesions were confirmed by pathology in all patients before and after surgery as to rule out malignancy. All patients had been followed up for 12 to 24 months. Twenty-seven cases resulted in normal luminal epithelium and inferior turbinate shape after surgery. Only one case of papilloma relapsed 2 months after operation. So far, the papilloma has not recurred after the second surgery. There were no epiphora in all cases. CONCLUSION Endonasal endoscopic expand anterior tears recess approach have great and clear view. This approach made us accurately, mini-invade and completely remove the maxillary sinus benign lesions. It is a physiological and functional surgery and has great advantage in the nasal cavity disease treatment.
Adult ; Aged ; Endoscopy ; methods ; Female ; Humans ; Lacrimal Apparatus ; surgery ; Male ; Maxillary Sinus ; Middle Aged ; Nasal Surgical Procedures ; methods ; Nose ; surgery ; Paranasal Sinus Diseases ; surgery ; Retrospective Studies

Patients with amyotrophic lateral sclerosis ( ALS ) often have difficulty in expressing their intentions through language and behavior, which prevents them from communicating properly with the outside world and seriously affects their quality of life. The brain-computer interface (BCI) has received much attention as an aid for ALS patients to communicate with the outside world, but the heavy device causes inconvenience to patients in the application process. To improve the portability of the BCI system, this paper proposed a wearable P300-speller brain-computer interface system based on the augmented reality (MR-BCI). This system used Hololens2 augmented reality device to present the paradigm, an OpenBCI device to capture EEG signals, and Jetson Nano embedded computer to process the data. Meanwhile, to optimize the system's performance for character recognition, this paper proposed a convolutional neural network classification method with low computational complexity applied to the embedded system for real-time classification. The results showed that compared with the P300-speller brain-computer interface system based on the computer screen (CS-BCI), MR-BCI induced an increase in the amplitude of the P300 component, an increase in accuracy of 1.7% and 1.4% in offline and online experiments, respectively, and an increase in the information transfer rate of 0.7 bit/min. The MR-BCI proposed in this paper achieves a wearable BCI system based on guaranteed system performance. It has a positive effect on the realization of the clinical application of BCI.
Humans ; Amyotrophic Lateral Sclerosis ; Brain-Computer Interfaces ; Quality of Life ; Event-Related Potentials, P300 ; Wearable Electronic Devices