Objective To study the giant invasive pituitary tumor neuroendoscopic operation indications,operation excision,risk aversion,and the operation skills.Methods The clinical data of 7 patients with giant invasive pituitary tumor among of endoscopic transsphenoidal surgery 61 cases of neurological patients with pituitary tumors were analyzed retrospectively.Results There were 1 case of total resection,6 cases of subtotal resection invading cavernous sinus cases,diaphragma sellar was seen in 5 cases of resection of the tumor,and 2 cases showed no diaphragma sellar.The average operation time was 100 minutes.No intraoperative transfusion.Postoperative hemorrhage in 2 cases,and 1 death case in this group after 36 hours,and 1 case undergoing endoscopic hematoma resection and cured.Conclusions With the development of endoscopic techniques,indications for operation with the new changes,for the giant invasive pituitary tumor operation therapy,endoscopic technique provides a disposable operation resection,the method is safe and avoid catastrophic consequences.

A rapid method was developed for the determination of 5 common fatty acids, palmitic acid, stearic acid, oleic acid, linoleic acid and linolenic acid in industrial oleic acid based on ultra_performance convergence chromatography_mass spectrometry ( UPC_MS) . The sample was dissolved by n_hexane, followed by clean_up of extract using 0. 22 μm organic phase filter. The fatty acids were separated in 3 min on the column of Acquity UPC2 BEH 2_EP by gradient elution with carbon dioxide and methanol/acetonitrile (1∶1, V/V) system, and finally detected by MS detector in ESI- mode. Through the optimization of UPC2_MS condition, the reasonable linearity was achieved for all the analytes over the range of 0. 5-100 mg/L with the correlation coefficients ( R2 ) greater than 0. 9985. The recoveries for five fatty acids at three spiked levels were in the range from 89 . 3% to 106 . 67% with relative standard deviations of 0 . 8%-3 . 0%. The limits of detection for target compounds in the method ranged from 0. 07 mg/L to 0. 26 mg/L. The real sample analysis showed that this method was simple,fast and had a good separation effect. There was no need of derivatization for fatty acid samples. This work would provide a fast and effective detection method for UPC2 technology in oil related research field.

Objective:To evaluate the clinical application value of MR amide proton transfer weighted imaging (APTWI) in predicting the pathological grade of brainstem glioma (BSG).Methods:The data of 41 BSG patients in Beijing Tiantan Hospital, Capital Medical University from August 2019 to June 2020 who underwent both MRI and APTWI 2 weeks before surgery and had pathological grading results were retrospectively analyzed. According to the pathological results, 41 patients were classified into high-grade BSG (20 patients) and low-grade BSG (21 patients). Combined with conventional MR images, the signal intensity (%) of amide proton transfer (APT) in the parenchymal area of the tumor was obtained on APTWI images. χ 2 test or independent sample t-test was used to analyze the differences in gender distribution, age and APT signal intensity between patients with high and low grade BSG. Receiver operating characteristic (ROC) curve was drawn to predict the efficacy of APT signal intensity in the differential diagnosis of high and low grade BSG, and Youden index was calculated to obtain the optimal diagnostic threshold; the predictive ability of APT signal intensity was analyzed in combination with Hosmer-Lemeshow goodness of fit test. Results:There was no significant difference in age [(23±18) years, (20±17) years, t=0.97, P=0.340] and gender distribution (9/11, 9/12 for males/females, χ 2=0.02, P=0.890) between high-grade and low-grade BSG patients. The APT signal intensity of high-grade BSG [(3.9±0.9)%] was significantly higher than that of low-grade BSG [(2.8±0.9)%], and the difference had statistical significance ( t=4.16, P<0.001). The area under the ROC curve of APT signal intensity to distinguish high-grade and low grade BSG was 0.836, and with 2.85% as the optimal diagnostic threshold of APT signal intensity, its sensitivity for the diagnosis of high-grade BSG was 90.0% and specificity was 71.4%. The Hosmer-Lemeshow test showed that APTWI had a good predictive ability for BSG grade (χ 2=13.33, P=0.101). Conclusion:APTWI can be applied in distinguishing high grade BSG from low grade BSG, and has clinical value in predicting glioma grading.