Objective To explore the guiding significance of preoperative 3D reconstruction for pulmonary nodule location and thoracoscopic surgical method selection in lung cancer patients. Methods The clinical data of the patients with preoperative 3D reconstruction in our China-Japan Friendship Hospital between January and November 2023 were retrospectively analyzed. Preoperative surgical planning was performed using 3D reconstruction. Different surgical procedure, including wedge resection, segmentectomy, lobectomy, or combined surgical procedure were performed based on tumor location, size and distance from the pleura. Results A total of 115 patients were included with 45 males and 70 females, at an average age of 25-84 (58.29±11.36) years and successfully completed the operation. Fifty-five (47.8%) patients' nodule diameter was tangent cross-section, among whom twenty-five (21.7%) patients of nodules crossed sections. There were 21 patients of wedge resection in the outer 1/3 nodules of CT, which had shorter operation time and less cost (P<0.001) and less intraoperative bleeding (P=0.019). For the crossing sections or edge crossing sections nodules of the middle and inner of CT, 6 patients were of simple pulmonary segmentectomy, 8 patients of combined with sub-segmentectomy, 7 patients of combined segmentectomy, 5 patients of lobectomy, and 3 patients of wedge resection. Conclusion The proportion of cross-segment pulmonary nodules is relatively high. For the outer 1/3 nodules of CT, compared with pulmonary segmental resection combined with adjacent lung tissue resection, wedge resection can also ensure sufficient surgical margin, and the middle and inner 1/3 nodules of CT need to be combined with adjacent pulmonary tissue resection to ensure the surgical edge.
Brain-computer interface (BCI) has high application value in the field of healthcare. However, in practical clinical applications, convenience and system performance should be considered in the use of BCI. Wearable BCIs are generally with high convenience, but their performance in real-life scenario needs to be evaluated. This study proposed a wearable steady-state visual evoked potential (SSVEP)-based BCI system equipped with a small-sized electroencephalogram (EEG) collector and a high-performance training-free decoding algorithm. Ten healthy subjects participated in the test of BCI system under simplified experimental preparation. The results showed that the average classification accuracy of this BCI was 94.10% for 40 targets, and there was no significant difference compared to the dataset collected under the laboratory condition. The system achieved a maximum information transfer rate (ITR) of 115.25 bit/min with 8-channel signal and 98.49 bit/min with 4-channel signal, indicating that the 4-channel solution can be used as an option for the few-channel BCI. Overall, this wearable SSVEP-BCI can achieve good performance in real-life scenario, which helps to promote BCI technology in clinical practice.