1.Application of Dual Source CT on Artery Injury in Extremities
Daiquan ZHOU ; Chuan LI ; Mingde DAI ; Qiang HE
Chinese Medical Equipment Journal 2003;0(10):-
Objective To assess the clinical application value and advantages of DSCT Angiography on artery injury in Extremities. Methods Seven suspected patients with artery injury in extremities underwent DSCT Angiography, including three cases on artery injury of upper extremity and four cases on artery injury of lower extremity. All the seven patients were performed with DSCT Angiography after the operation. The data of thin slice cross section were reconstructed by MPR, MIP and VR, employing Somatom Definition, German. Contrast-concentration was 350 or 370mg i/ml, total amount was 80-100ml and injection rates was 4.0 ml/s. Results All the images of angiography displayed many clear blood vessels and smooth vessels verge, contrasting with surrounding issues well. They also displayed no ladder artifact or truncation artifact. The image quality was good enough to meet the requirements of clinical diagnosis. Meanwhile the coincidence between preoperative diagnosis and postoperative diagnosis was 100%. Conclusion To suspected patients with artery injury in extremities, DSCT Angiography may be the first choice. Three-dimensional reconstruction angiographys by means of different reconstruction techniques are very helpful in diagnosing and formulating treatment perscription.
2.Activity prediction of human cytochrome P450 inhibitors based on multiple deep learning and machine learning methods
Mingde LIN ; Weijie HAN ; Xiaohe XU ; Xiaowen DAI ; Yadong CHEN
Journal of China Pharmaceutical University 2023;54(3):333-343
Inhibition of human cytochrome P450 (CYP) can lead to drug-drug interactions, resulting in serious adverse reactions.It is therefore crucial to accurately predict the inhibitory power of a given compound against a particular CYP isoform.This study compared 11 machine learning methods and 2 deep learning models based on different molecular representations.The experimental results showed that the CatBoost machine learning model based on RDKit_2d+Morgan outperformed other models in terms of accuracy and Mathews coefficient, and even outperformed previously published models.Moreover, the experimental results also showed that the CatBoost model not only had superior performance, but also consumed less computational resources.Finally, this study combined the top 3 performing models as co_model, which slightly outperformed the CatBoost model alone in terms of performance.
3. Analysis and comparison of the clinical features and prognosis between extra - gastrointestinal stromal tumors and duodenal gastrointestinal stromal tumors
Hongpeng SHI ; Zhenqiang WANG ; Zhiyuan FAN ; Mingde ZANG ; Jiaomeng PAN ; Qingqiang DAI ; Yanan ZHENG ; Zhenglun ZHU ; BirendraKumar SAH ; Wentao LIU ; Zhongyin YANG ; Runhua FENG ; Xuexin YAO ; Mingmin CHEN ; Chao YAN ; Min YAN ; Zhenggang ZHU ; Chen LI
Chinese Journal of Gastrointestinal Surgery 2019;22(9):856-860
Objective:
To investigate the differences of clinicopathological features, diagnosis, treatment and prognosis between patients with extra-gastrointestinal stromal tumors (EGIST) and duodenal gastrointestinal stromal tumors (DGIST).
Methods:
A retrospective case - control study was performed. Case inclusion criteria: (1) tumor confirmed by histology and pathology; (2) primary tumor locating in the extra - gastrointestinal tract or duodenum; (3) without other synchronous tumors; (4) complete clinical and pathological data. Clinical data of 20 EGIST patients and 32 DGIST patients from March 2011 to September 2016 at Department of Gastrointestinal Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine were retrospectively collected and analyzed. The observational parameters included clinicopathological characteristics, treatment and prognosis conditions. Continuous data of abnormal distribution were expressed as median (range) and compared using the Mann-Whitney
4.Study on the spatial and temporal distribution of animal plague in Junggar Basin plague focus.
Rong GUO ; Xinjiang Medical UNIVERSITY. ; Xiang DAI ; Hanli CAO ; Lianxu XIA ; Miti ABULI ; Kemu ABULI ; Xinhui WANG ; Ti AZA ; Wei JIANG ; Bing LI ; Xiaobing ZHANG ; Gang LEI ; Qiguo WANG ; Tao LUO ; Weiwei MENG ; Mingde BUREN ; Na RE ; Yan CHEN ; Yujiang ZHANG
Chinese Journal of Epidemiology 2014;35(2):109-113
OBJECTIVETo explore the spatial and temporal distributions of animal plague in Junggar Basin natural plague focus.
METHODSData regarding plague antibody (F1) in serum of Great Gerbil (Rhombomys opimus, R. opimus) which were collected from 2005 to 2012 in Junggar Basin and analyzed. The changing rates on the positivity of F1 that appeared spatially and temporally were also analyzed.
RESULTSA total of 4 825 R. opimus serum samples were collected in 13 administrative regions in Junggar Basin.
RESULTSshowed that plague R. opimus existed in two areas-Gurbantonggut desert in the eastern-center and the clay desert of western Junggar Basin. However, in these two areas, the intensity of animal plague prevalence was different. In the former region where Yesinia pestis positive serum was detected from R. opimus, the detected rate of R. opimus was 8.39%. However, in the latter areas, the average positive rate was 1.56%. The changing trends of R. opimus plague prevalence were also varied annually. In the western Junggar Basin, the trend showed a slowly downward profile. The serum positive rate of R. opimus for Yesinia pestis decreased, from 7.59% in 2005 to 0.61% in 2008, and appeared as a resting state that none of the positive sample could be found since then. However, in the eastern-center Junggar Basin area-also named as Gurbantonggut desert which had been divided into 3 segments(western, central and eastern, according to related geographical characteristics), the changing trends of animal plague seemed quite complex. In the western segment, the animal plague had two epidemic peaks-in 2006 and 2010, with the interval of 4 years, with the higher peak of all the three geographic segments as 45.65% in 2010 and the positive serum of R. opimus for plague could be detected each year from 2006 to 2012. However, there were 3 epidemic peaks in the same period in the central and eastern segments. In the central segment, the peaks appeared in 2006, 2009 and 2011, with the intervals as 2.5 years and the average positive rate 8.92% was seen the lowest in Gurbantonggut desert. In the eastern segment, the first 2 peaks appeared the same season as in the central segment, but the third peak appeared in 2012, with the peak interval as 3 years. The positive rate of R. opimus for plague was also different in seasons, with the positive rate higher in autumn than in spring. These findings showed that the animal plague could be continuously prevalent from spring to autumn in the natural foci of plague in the Junggar Basin.
CONCLUSIONBoth geographical and temporal fluctuations of animal plague existed in the natural foci of Junggar Basin which was also named as geographical heterogeneity. Consequently, animal plague could be divided into two areas-the clay plains desert in the western and the Gurbantonggut desert in the eastern-center Junggar Basin.
Animals ; Gerbillinae ; Plague ; epidemiology ; Time ; Yersinia pestis