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BACKGROUND: : Double-lumen tubes (DLTs) or bronchial blockers are commonly used for one-lung ventilation. DLTs are sometimes difficult or even impossible to introduce, and the incidence of postoperative hoarseness and airway injuries is higher. Bronchial blockers are more difficult to position and need more frequent intraoperative repositioning. The design of a Y-shaped bronchial blocker, the EZ-Blocker (Teleflex Life Sciences Ltd., Athlone, Ireland) (EZB), combines some advantages of both techniques. The objective of this study was to assess whether EZB performs clinically better than left-sided DLTs (Broncho-cath; Mallinckrodt, Athlone, Ireland) without causing more injury. Primary outcome was the frequency of initial malpositions. METHODS: : Eligible patients were adults scheduled for surgery requiring one-lung ventilation who met criteria for placement of both devices. In this parallel trial, 100 consecutive and blinded patients were assigned randomly using a computer-generated list to two groups. The incidence of malposition and ease and time of placement were recorded. Blinded assessors investigated quality of lung deflation, postoperative complaints, and damage to the airway. RESULTS: : Placement of a DLT was unsuccessful twice. The incidence of initial malposition was high and comparable between EZBs (37 of 50) and DLTs (42 of 49) (P = 0.212). Placing single-lumen tubes and EZBs took more time but was rated easier. Quality of lung deflation was comparable. Fewer patients in the EZB group complained of sore throat at day 1. There was a higher incidence of tracheal hematoma and redness and bronchial hematoma in the DLT group. CONCLUSIONS: : The EZB is an efficient and effective device for one-lung ventilation and causes less injury and sore throat than a DLT. [ABSTRACT FROM AUTHOR]

During 0.1-0.2% of operations with general anesthesia, patients become aware during surgery. Unfortunately, pharmacologically paralyzed patients cannot seek attention by moving. Their attempted movements may however induce detectable EEG changes over the motor cortex. Here, methods from the area of movement-based brain-computer interfacing are proposed as a novel direction in anesthesia monitoring. Optimal settings for development of such a paradigm are studied to allow for a clinically feasible system. A classifier was trained on recorded EEG data of ten healthy non-anesthetized participants executing 3-second movement tasks. Extensive analysis was performed on this data to obtain an optimal EEG channel set and optimal features for use in a movement detection paradigm. EEG during movement could be distinguished from EEG during non-movement with very high accuracy. After a short calibration session, an average classification rate of 92% was obtained using nine EEG channels over the motor cortex, combined movement and post-movement signals, a frequency resolution of 4 Hz and a frequency range of 8-24 Hz. Using Monte Carlo simulation and a simple decision making paradigm, this translated into a probability of 99% of true positive movement detection within the first two and a half minutes after movement onset. A very low mean false positive rate of <0.01% was obtained. The current results corroborate the feasibility of detecting movement-related EEG signals, bearing in mind the clinical demands for use during surgery. Based on these results further clinical testing can be initiated. [ABSTRACT FROM AUTHOR]

Introduction: Cone beam computed tomography-guided navigation bronchoscopy (CBCT-NB) with augmented fluoroscopy (AF) guidance represents a minimally invasive endobronchial technique for diagnosing small, peripheral pulmonary lesions. This approach is characterized by its high diagnostic accuracy and low complication risk. Current pilot trials are exploring the application of localized therapies using this innovative approach. This report aims to provide a detailed procedural guide for performing CBCT-NB with AF guidance as the only tool for navigation and image guided biopsy. Methods: We outline the procedural steps involved in the CBCT-NB procedure for diagnosing peripheral pulmonary lesions, supported by specific intra-procedural clinical video footage. The steps include (1) preprocedural considerations, (2) a detailed procedural workflow encompassing navigation to the target lesion, (3) position confirmation and tissue acquisition, and (4) postprocedural follow-up. Conclusion: CBCT-NB with AF guidance is a safe and precise stand-alone navigation modality that offers high-resolution real-time 3D imaging, enhancing the diagnosis and potential treatment of peripheral pulmonary nodules. [ABSTRACT FROM AUTHOR]

Brain-Computer Interfaces (BCIs) have the potential to detect intraoperative awareness during general anaesthesia. Traditionally, BCI research is aimed at establishing or improving communication and control for patients with permanent paralysis. Patients experiencing intraoperative awareness also lack the means to communicate after administration of a neuromuscular blocker, but may attempt to move. This study evaluates the principle of detecting attempted movements from the electroencephalogram (EEG) during local temporary neuromuscular blockade. EEG was obtained from four healthy volunteers making 3-second hand movements, both before and after local administration of rocuronium in one isolated forearm. Using offline classification analysis we investigated whether the attempted movements the participants made during paralysis could be distinguished from the periods when they did not move or attempt to move. Attempted movement trials were correctly identified in 81 (68-94)% (mean (95% CI)) and 84 (74-93)% of the cases using 30 and 9 EEG channels, respectively. Similar accuracies were obtained when training the classifier on the participants' actual movements. These results provide proof of the principle that a BCI can detect movement attempts during neuromuscular blockade. Based on this, in the future a BCI may serve as a communication channel between a patient under general anaesthesia and the anaesthesiologist. [ABSTRACT FROM AUTHOR]

Objective: Patients undergoing general anesthesia may awaken and become aware of the surgical procedure. Due to neuromuscular blocking agents, patients could be conscious yet unable to move. Using brain-computer interface (BCI) technology, it may be possible to detect movement attempts from the EEG. However, it is unknown how an anesthetic influences the brain response to motor tasks., Approach: We tested the offline classification performance of a movement-based BCI in 12 healthy subjects at two effect-site concentrations of propofol. For each subject a second classifier was trained on the subject's data obtained before sedation, then tested on the data obtained during sedation ('transfer classification')., Main Results: At concentration 0.5 μg ml(-1), despite an overall propofol EEG effect, the mean single trial classification accuracy was 85% (95% CI 81%-89%), and 83% (79%-88%) for the transfer classification. At 1.0 μg ml(-1), the accuracies were 81% (76%-86%), and 72% (66%-79%), respectively. At the highest propofol concentration for four subjects, unlike the remaining subjects, the movement-related brain response had been largely diminished, and the transfer classification accuracy was not significantly above chance. These subjects showed a slower and more erratic task response, indicating an altered state of consciousness distinct from that of the other subjects., Significance: The results show the potential of using a BCI to detect intra-operative awareness and justify further development of this paradigm. At the same time, the relationship between motor responses and consciousness and its clinical relevance for intraoperative awareness requires further investigation.