1.Clinical evaluation of the dissection of bursectomy in D2 gastrectomy of T2 gastric cancer
Yongjiang YANG ; Zhuobin SU ; Di HUANG ; Xueliang WU ; Yifeng ZHAO ; Shuguang LI
Chinese Journal of Postgraduates of Medicine 2016;39(12):1057-1060
Objective To investigate the risk and value of the dissection of bursectomy in T2 gastric cancer. Methods A total of 86 T2 gastric cancer patients were divided into dissection of bursectomy group (46 cases) and non-dissection of bursectomy group (40 cases) according to the random number table method. The age, Borrman type, tumor location, degree of differentiation, vascular tumor thrombus, operation type, lymph nodes metastasis, number of dissected lymph nodes, tumor size, blood loss during operation, operation time and postoperative complications were observed. The patients were followed up for 1 year, and the local recurrence, metastasis and survive were compared between 2 groups. Results There were no statistical differences in age, Borrman type, tumor location, degree of differentiation, vascular tumor thrombus, operation type, lymph nodes metastasis, number of dissected lymph nodes, tumor size, blood loss during operation and postoperative complications (P>0.05). No metastasis was found in anterior layer of transverse colon and pancreatic capsule in 2 groups. The operation time in dissection of bursectomy group was significantly longer than that in non- dissection of bursectomy group: (169.13 ± 37.94) min vs. (147.45 ± 30.27) min, and there was statistical difference (P<0.05). The patients were followed up for 1 year, and there was no local recurrence in 2 groups. There was 1 case with liver metastasis in dissection of bursectomy group, and 1 case with bony metastasis in non- dissection of bursectomy group. There was no death in 2 groups. Conclusions The dissection of bursectomy in T2 gastric cancer could be abandoned, in order to reduce the operation time, blood loss during operation, and postoperative complications.
2.Multiple transmission electron microscopic image stitching based on sift features.
Mu LI ; Yanmeng LU ; Shuaihu HAN ; Zhuobin WU ; Jiajing CHEN ; Zhexing LIU ; Lei CAO
Journal of Southern Medical University 2015;35(9):1251-1257
We proposed a new stitching method based on sift features to obtain an enlarged view of transmission electron microscopic (TEM) images with a high resolution. The sift features were extracted from the images, which were then combined with fitted polynomial correction field to correct the images, followed by image alignment based on the sift features. The image seams at the junction were finally removed by Poisson image editing to achieve seamless stitching, which was validated on 60 local glomerular TEM images with an image alignment error of 62.5 to 187.5 nm. Compared with 3 other stitching methods, the proposed method could effectively reduce image deformation and avoid artifacts to facilitate renal biopsy pathological diagnosis.
Algorithms
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Artifacts
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Humans
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Image Processing, Computer-Assisted
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methods
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Kidney Glomerulus
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ultrastructure
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Microscopy, Electron, Transmission
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methods
3.The mutation characteristics of drug-resistance of Mycobacterium tuberculosis in Qinzhou,Guangxi
Chongjian LI ; Jingui BAO ; Zhuobin CHEN ; Shijuan LI ; Haisong WU ; Ling LIANG
International Journal of Laboratory Medicine 2018;39(8):936-938
Objective To analyze the variation characteristics of rpoB,katG,inhA,rpsL and embB related genes of Mycobacterium tuberculosis(MTB)in Qinzhou,Guangxi.Methods PCR reverse point hybridization was used to detect 5 common resistance mutants of Mycobacterium tuberculosis in 237 MTB-DNA positive sputum samples.Results Among 237 cases of tuberculosis patients,72 cases(30.38%)were resistant to the four kinds of anti-TB drugs.The resistance mutation rate of rifampin,isoniazid and streptomycin was 2.53%, 13.92%,3.80%.The top 5 gene mutation detection loci of Mycobacterium tuberculosis were-15M,S531L and 43M.Conclusion The main drug-resistant strains are isoniazid resistance,and the mutation of inhA gene were the major one in Qinzhou,Guangxi.