ObjectiveTo analyse the microsurgical treatment and facial nerve preservation of giant acoustic neuromas. MethodsUnder the conditions of facial nerve monitoring, 400 patients with giant acoustic neuromas underwent microsurgical removal via suboccipital retrosigmoid approach between January 2005 and January 2013. There were 186 males and 214 females, with the age ranged from 15 to 74 years (mean, 41.6 years). The disease duration was 2-13 years (mean, 2.4 years). The lesions were located at the left cerebellopontine angle region (CPA) in 191 cases, right CPA in 200 cases, bilateral CPA in 9 cases. The clinical manifestations included unilateral hearing loss and tinnitus as first symptoms in 389 cases, facial numbness in 373 cases, unilateral facial paralysis in 370 cases, headache in 269 cases, lower cranial nerve symptoms with drinking cough and dysphagia in 317 cases, and unstable gait in 342 cases. Preoperative skull base thin layer CT showed varying degrees of horn-like expansion in ipsilateral internal auditory canal opening. MRI showed cysts in 78 cases and solid masses in 322 cases; with hydrocephalus in 269 cases. Postoperative cranial MRI or CT was taken to observe the extent of tumor resection. The preservation of facial nerves in anatomy was assessed by intraoperative microscope video and electrophysiological monitoring; the facial nerves function was assessed according to House-Brackmann (HB) classification on the first day after operation; and the rehabilitation of facial nerve function was also assessed at discharge and at 1 year postoperatively by using HB grade. ResultsTotal tumor removal was achieved in 372 cases (93.00%), and subtotal removal in 28 cases (7.00%). One case died of delayed brainstem ischemia at 14 days after operation, and 1 case died of lung infection at 20 days after operation; 398 cases were followed up 6 months to 8 years (mean, 3.5 years). Recurrence occurred in 1 case because of neurofibromatosis at 5 years after operation. The rate of anatomical preservation of the facial nerve during operation was 91.75% (367/400), and the functional preservation rate at the first day after operation was 62.75% (251/400). The HB grade of facial nerve function showed significant difference aomng 3 time points (at the first day, at discharge and at 1 year after operation) (χ2=23.432, P=0.000). Complications included postoperative intracranial infection in 11 cases (2.75%), cerebrospinal fluid leakage in 29 cases (7.25%), aggravated lower cranial nerve symptoms in 18 cases (4.50%), subcutaneous effusion in 13 cases (3.25%), second operation to remove hematoma in 9 cases (2.25%), postoperative circumoral herpes simplex virus infection in 25 cases (6.25%), and all complications were cured after symptomatic treatment. Postoperative hydrocephalus disappeared in 261 cases. ConclusionSurgical operation is the first choice in the treatment of giant acoustic neuromas. Under the auxiliary of neural electrophysiological monitoring, the microsurgery operation via suboccipital retrosigmoid approach for giant acoustic neuromas has extremely low mortality and high preservation rate of facial nerve function.
As a novel technology, wearable physiological parameter monitoring technology represents the future of monitoring technology. However, there are still many problems in the application of this kind of technology. In this paper, a pilot study was conducted to evaluate the quality of electrocardiogram (ECG) signals of the wearable physiological monitoring system (SensEcho-5B). Firstly, an evaluation algorithm of ECG signal quality was developed based on template matching method, which was used for automatic and quantitative evaluation of ECG signals. The algorithm performance was tested on a randomly selected 100 h dataset of ECG signals from 100 subjects (15 healthy subjects and 85 patients with cardiovascular diseases). On this basis, 24-hour ECG data of 30 subjects (7 healthy subjects and 23 patients with cardiovascular diseases) were collected synchronously by SensEcho-5B and ECG Holter. The evaluation algorithm was used to evaluate the quality of ECG signals recorded synchronously by the two systems. Algorithm validation results: sensitivity was 100%, specificity was 99.51%, and accuracy was 99.99%. Results of controlled test of 30 subjects: the median (Q1, Q3) of ECG signal detected by SensEcho-5B with poor signal quality time was 8.93 (0.84, 32.53) minutes, and the median (Q1, Q3) of ECG signal detected by Holter with poor signal quality time was 14.75 (4.39, 35.98) minutes (Rank sum test, P=0.133). The results show that the ECG signal quality algorithm proposed in this paper can effectively evaluate the ECG signal quality of the wearable physiological monitoring system. Compared with signal measured by Holter, the ECG signal measured by SensEcho-5B has the same ECG signal quality. Follow-up studies will further collect physiological data of large samples in real clinical environment, analyze and evaluate the quality of ECG signals, so as to continuously optimize the performance of the monitoring system.
Wearable physiological parameter monitoring devices play an increasingly important role in daily health monitoring and disease diagnosis/treatment due to their continuous dynamic and low physiological/psychological load characteristics. After decades of development, wearable technologies have gradually matured, and research has expanded to clinical applications. This paper reviews the research progress of wearable physiological parameter monitoring technology and its clinical applications. Firstly, it introduces wearable physiological monitoring technology’s research progress in terms of sensing technology and data processing and analysis. Then, it analyzes the monitoring physiological parameters and principles of current medical-grade wearable devices and proposes three specific directions of clinical application research: 1) real-time monitoring and predictive warning, 2) disease assessment and differential diagnosis, and 3) rehabilitation training and precision medicine. Finally, the challenges and response strategies of wearable physiological monitoring technology in the biomedical field are discussed, highlighting its clinical application value and clinical application mode to provide helpful reference information for the research of wearable technology-related fields.
Visual evoked potential (VEP) is a commonly used technique in neurology and ophthalmology in the process of disease diagnosis and treatment, which refers to the electrical signal transmitted by the visual pathway and recorded in the skull or cortex after stimulating the retina. The effect of monitoring and protection of vision in surgery near the visual pathway has attracted more and more attention recently. This article summarizes the experience and problems of intraoperative monitoring of VEP in terms of anesthesiology and instrument development, monitoring technology, and application innovation, and proposes future research directions. The purpose is to provide a reference for clinical application and research of intraoperative VEP monitoring.
Wearable monitoring, which has the advantages of continuous monitoring for a long time with low physiological and psychological load, represents a future development direction of monitoring technology. Based on wearable physiological monitoring technology, combined with Internet of Things (IoT) and artificial intelligence technology, this paper has developed an intelligent monitoring system, including wearable hardware, ward Internet of Things platform, continuous physiological data analysis algorithm and software. We explored the clinical value of continuous physiological data using this system through a lot of clinical practices. And four value points were given, namely, real-time monitoring, disease assessment, prediction and early warning, and rehabilitation training. Depending on the real clinical environment, we explored the mode of applying wearable technology in general ward monitoring, cardiopulmonary rehabilitation, and integrated monitoring inside and outside the hospital. The research results show that this monitoring system can be effectively used for monitoring of patients in hospital, evaluation and training of patients’ cardiopulmonary function, and management of patients outside hospital.