ObjectiveTo summarize the surgical experiences of low-grade glioma on functional areas. MethodsFifty-four patients with low-grade glioma on functional areas were treated in our department from December 2009 to December 2012. We retrospectively analyzed their clinical data. ResultsThirty-six cases were located preoperatively by diffusion tensor imaging, 13 patients underwent intraoperative B ultrasound tumor localization, and 5 underwent intraoperative wake-up anesthesia. Total resection of tumors was performed on 42 patients, subtotal resection on 10, and partial resection on 2, and no patient died during the operation. The follow-up ranged from 6 to 24 months averaging 12. There was no significant difference in Karnofsky performance scale before and after surgery (P>0.05). ConclusionThe comprehensive application of various localization methods can protect function to the best advantage and resect tumor to the largest degree, and thus improves patients' quality of life.
Heart transplantation is a most efficacious therapy for end-stage heart failure, but acute rejection (AR) is the biggest problem to threat longer-term survival of post-transplant patients. Currently, endomyocardial biopsy is the gold standard for the diagnosis of AR. Due to limited sample size and different tissue locations, this invasive examination may cause sampling error and significant difference between biopsy-based diagnosis and AR severity. Therefore, we need a noninvasive and repeatable method to accurately diagnose and monitor AR after heart transplantation. Cardiovascular magnetic resonance can not only observe histological changes directly from the imaging when AR occurs, but also monitor and make diagnosis of AR by evaluating T2 relaxation time, cell labeling, cardiac functional parameters and morphological changes.
ObjectiveTo summarize the experience of microsurgery in primary hospital for the posterior communicating artery aneurysms (PCOAan). MethodsThe clinical data of 48 patients with PCOAan who underwent microsurgery from January 2008 to December 2012 were retrospectively analyzed. ResultsAll the necks of aneurysms of 48 cases were successfully clipped, Acording to the Glasgow outcome score (GOS), the early curative effects were good in 36 cases (75.0%, GOS 4-5) poor in 10 cases (20.8%, GOS 2-3) and death in 3 cases (2.1%, GOS 1). After the operation was carried out, the operation time was shorten, aneurysm intraoperative rupture rate was lower, postoperative complications were lower, and the average medical expense was reduced; the difference was significant in 24 cases before and after the operation (P<0.05). ConclusionMicrosurgery for PCOAan is an effective method which should be popularized in primary hospitals.
Currently, monitoring system of awareness of the depth of anesthesia has been more and more widely used in clinical practices. The intelligent evaluation algorithm is the key technology of this type of equipment. On the basis of studies about changes of electroencephalography (EEG) features during anesthesia, a discussion about how to select reasonable EEG parameters and classification algorithm to monitor the depth of anesthesia has taken place. A scheme which combines time domain analysis, frequency domain analysis and the variability of EEG and decision tree as classifier and least squares to compute Depth of anesthesia Index (DOAI) is proposed in this paper. Using the EEG of 40 patients who underwent general anesthesia with propofol, and the classification and the score of the EEG annotated by anesthesiologist, we verified this scheme with experiments. Classification and scoring was based on a combination of modified observer assessment of alertness/sedation (MOAA/S), and the changes of EEG parameters of patients during anesthesia. Then we used the BIS index to testify the validation of the DOAI. Results showed that Pearson's correlation coefficient between the DOAI and the BIS over the test set was 0.89. It is demonstrated that the method is feasible and has good accuracy.