Objective To develop a predictive model for pulmonary embolism(PE)based on the related clinical symptoms,signs,and the labo-ratory index,so as to improve the positive rate of CTPA. Methods The model was developed from a database of 119 patients with suspected PE. The risk factors of suspected PE were analyzed by logistic regression analysis ,which included significant differences in the prevalence of PE be-tween non-diseased and non-diseased groups. Receiver operating characteristic(ROC)curves was draw to determine the cut-off value of the clini-cal probability. It was validated in an independent sample of 106 patients with suspected PE. Results According to the univariate analysis ,17 of 51 variables show a significant difference between PE and non-PE patients. The model comprised 4 variables:age,dyspnea,D-dimer and unilater-al leg swelling. The area under the ROC curve is 0.776,and the cut-off value is supposed to be 0.38. In the validation sample,27% patients had PE confirmed by CTPA. The prevalence of PE was 54%when the clinical probability was above 0.38. Conclusion The proposed predictive mod-el in this study can improve the positive rate of CTPA ,simplify the diagnosis process of suspected PE patients.

Colorectal cancer is the fourth most malignant tumors in China, among which the left hemicolon cancer accounts for about 5%?6%. Due to the complex anatomy around the left hemicolon, being adjacent to the pancreas, spleen, kidney, ureter and other important organs, its vascular and nerve distribution is variably distributed, leading difficulties in laparoscopic radical surgery for left hemicolon cancer. In surgical practice, the 4K laparoscopic system has shown its features of high-definition amplification, good color reproduction, and clear anatomy, etc. However, there is still no clear consensus on its application in the radical resection for the left hemicolon cancer. The authors summarize clinical practice, explore the technique key points of 4K laparoscopic D 3 resection with complete mesocolic excision for the left hemicolon cancer.

BACKGROUND: Lung cancer is the main cause of cancer-related death globally. Single nucleotide polymorphism (SNP) is one of the important factors leading to the occurrence of lung cancer, but its mechanism has not been elucidated. This study intends to investigate the relationship between SNPs of CDH1, FANCB, APC genes and lung cancer genetic susceptibility. METHODS: The case-control study design was used. We collected blood samples from 270 lung cancer cases in the Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, as well as blood samples from 445 healthy volunteers as controls, and extracted genomic DNA for genotyping using the Taqman® SNP genotyping kit. The distribution of three SNP loci of CDH1 gene rs201141645, FANCB gene rs754552650 and APC gene rs149353082 in Chinese population was analyzed. Chi-square test and Logistic regression were used to analyze the relationship between different genotypes and the risk of lung cancer. RESULTS: The distribution frequencies of AA, A/G and GG genotypes at rs754552650 of FANCB gene in the control group were 27.2%, 52.6% and 20.2%, respectively. The distribution frequencies of AA and A/G genotypes were 93.7% and 6.3% in the case group, respectively, and no GG genotype was detected. The A/G genotype of the rs754552650 locus of the FANCB gene was significantly different between the case group and the control group. Compared with the carriers of AA genotype, the individuals with FANCB rs754552650 A/G genotype had a lower risk of lung cancer (OR=0.035, 95%CI: 0.020-0.062, P<0.001). CDH1 gene rs201141645 A/C and CC genotypes only existed in the control group. In addition, only 1 sample was found to have APC rs149353082 genotype in the case group. CONCLUSIONS In the Chinese population, the lung cancer risk of the individuals with FANCB rs754552650 A/G genotype was significantly decreased.
Antigens, CD/genetics* ; Cadherins/genetics* ; Case-Control Studies ; China ; Fanconi Anemia Complementation Group Proteins/genetics* ; Gene Frequency ; Genes, APC ; Genetic Predisposition to Disease ; Genotype ; Humans ; Lung Neoplasms/genetics* ; Polymorphism, Single Nucleotide