1.Comparative study of HPV infective genotypes distribution in tissues of cervical cancers and cervical intraepithelial neoplasias
Hongjing WANG ; Xiurong LONG ; Jianxiang GENG ; Xubo WANG ; Jin TAN ; Wei XIAO ; Chunrong HAN ; Xue ZHAO ; Hongzhen WANG
International Journal of Laboratory Medicine 2014;(5):533-535
Objective To compare the genotypes distribution of human papillomavirus (HPV ) infection in tissues of cervical cancers and cervical intraepithelial neoplasias (CIN ) and its clinical significance .Methods The polymerase chain reaction (PCR) and the gene-chips technique were utilized for the detection of 23 kinds of HPV genotypes in the tissue specimens from 192 cases of cervical intraepithelial neoplasia (CIN) and 85 cases of cervical cancers .And the related data of all subjects were analyzed .Results In 192 cases of CIN ,the total positive rate of HPV was 82 .29% (158/192) ,the positive rate of single genotype infection was 46 .88% (90/192) and the positive rate of multiple genotypes infection was 35 .42% (68/192);In 85 cases of cervical cancers ,the to-tal infection rate of HPV was 88 .24% (75/85) ,the positive rate of single genotype infection was 65 .88% (56/85) and the positive rate of multiple genotypes infection was 22 .35% (19/85) .Conclusion PCR combined with the gene-chips technique can be used in the detection of the tissue samples of cervical lesions ,once detection can detect 23 kinds of HPV genotypes with high sensitivity and strong specificity ,which has very important significance to the prevention and treatment of cervical cancer and precancerous lesions and the their vaccine research .
2.The value of PET quantitative analysis of coronary physiology in the diagnosis of coronary microvascular disease
Chunxia QIN ; Xiaoli LAN ; Zhaohui WANG ; Guanguei HUNG ; Mei LIU ; Fan HU ; Yan WANG ; Xubo TAN
Chinese Journal of Nuclear Medicine and Molecular Imaging 2018;38(7):460-465
Objective To evaluate the diagnostic value of quantitative rest and stress 13N-NH3 PET myocardial perfusion imaging (MPI) on coronary microvascular disease (CMVD),and provide basis for accurate classification.Methods From July 2016 to September 2017,a total of 23 patients (16 males,7 females;27-70 years) who were suspected of CMVD were prospectively enrolled in this study.Rest and ATPstress MPI were acquired using 13N-NH3 PET and analyzed using Heartsee software.Rest and stress relative uptake,absolute myocardial blood flow (MBF) and coronary flow reserve (CFR) were obtained and present on sectional images and cup maps.Based on the information,CMVD was diagnosed or excluded.Combined with myocardial enzymes,echocardiography,cardiac MRI,coronary angiography,CT angiography (CTA),CMVD was further divided into CMVD without (type 1) or with obstructive coronary disease (type 2),and other CMVD (type 3).Two-sample t test and one-way analysis of variance were used to analyze the data.Results In 23 patients,17 cases were diagnosed as CMVD (including 10 cases with type 1,3 cases with type 2 and 4 cases with type 3),and 6 cases were excluded.There were no significant differences in the age,gender and risk factors between CMVD group and exclusion group (all P>0.05).The relative uptake results,including average uptake of whole left ventricle in rest and stress states,rest minimum quadrant,and area of stress uptake less than 60% of maximum were significantly different between the two groups (t values:from -3.249 to 2.469,all P<0.05).All the absolute blood flow parameters,including rest and stress whole MBF and CFR,rest and stress minimum quadrant MBF and CFR,were significantly different between CMVD group and exclusion group (t values:from-8.278 to-3.258,all P<0.05).There was no statistically significant difference for relative uptake data among three types of CMVD (F values:from 0.002 to 1.440,all P>0.05).For absolute quantitative values of whole MBF and minimum quadrant MBF in both rest and stress states,difference was statistically significant among groups (F values:from 3.885 to 8.452,all P<0.05).Conclusion Quantitative PET MPI could provide a noninvasive,safe and accurate method for the diagnosis and classification of CMVD.