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1.
Chinese Journal of Blood Transfusion ; (12): 701-704,705, 2023.
Article in Chinese | WPRIM | ID: wpr-1004769

ABSTRACT

【Objective】 To observe and analyze the detection results of blood type unexpected antibody and its risk factors in inpatients, so as to provide reference for promoting the safety of clinical blood transfusion. 【Methods】 Clinical data of 22 800 inpatients were collected retrospectively and unexpected antibody screening was performed by microcolumn gel method and saline method. According to the screening results, the inpatients were divided into positive group (n = 62) and negative group (n = 22 738). Clinical data of the two groups were collected and analized by univariate analysis, and specificity identification of unexpected antibody was performed in the positive group. The specific distribution characteristics of antibody were statistically analyzed, and the risk factors of unexpected antibody were analyzed by binary logistic regression. 【Results】 Among the 22 800 inpatients, the yield rate of unexpected antibody was 0.27% (62/22 800), with Rh, MNS, Lewis, Kidd blood group antibody, mixed antibody, autoantibodies and others accounted for 40.32% (25/62), 14.52% (9/62), 6.45%(4/62), 1.61%(1/62), 20.97%(13/62), 6.45%(4/62) and 9.68%(6/62), respectively. Univariate analysis showed that there were significant differences in gender, age, pregnancy history, blood transfusion history, blood transfusion frequency and disease type between the positive group and the negative group by chi-square test (χ2 = 11.142, 6.994, 12.453, 4.762, 5.493, 92.381, all P<0.05), while there was no significant difference in nationality (χ2 = 3.719, P>0.05 ) . Binary logistic regression analysis showed that female, age >60 years old, with history of blood transfusion, number of blood transfusion >3 times, history of pregnancy, solid tumor and blood diseases, severe internal medical diseases were independent risk factors for unexpected antibody(P<0.05) . 【Conclusion】 For patients who need blood transfusion, especially those with the above risk factors, conducting unexpected antibodies screening and identification before transfusion, avoiding corresponding antibodies and selecting antigen-negative blood for cross-matching were suggested to ensure the effectiveness and safety of clinical blood transfusion.

2.
Chinese Journal of Medical Imaging ; (12): 278-282, 2017.
Article in Chinese | WPRIM | ID: wpr-609173

ABSTRACT

Purpose To investigate the influence of the region of interest (ROI) selection on the repeatability of 64 slice spiral CT perfusion parameters for the peripheral lung cancer.Materials and Methods The 64 slice spiral CT perfusion images of thirty-seven patients with peripheral lung cancer were retrospectively analyzed.The perfusion parameters including blood flow (BF),blood volume (BV),Patlak blood volume (PBV),permeability surface area product (PS),and mean transit time (MTT) were obtained by using three ROI selection methods including maximum area of ROI (ROIm),round of ROI (ROIr),and volume of ROI (ROLv),and these parameters were measured by two observers repeatedly.The repeatability and reliability of the values of these perfusion parameters by using different ROI methods or measured by different observer were determined.Results The perfusion parameters derived from three ROIs all had a excellent intraobserver and interobserver agreement (ICC>0.75).Besides,the values of the perfusion parameters by using different ROI methods had no significant difference (P>0.05),but the data obtained by ROIm and ROIv were more stable than that obtained by ROIr.Conclusion The repeatability of the perfusion parameters obtained from above three ROIs is excellent,but ROIm and ROIv may be more suitable than ROIr to assess vascular perfusion of peripheral lung cancer.

3.
Chinese Journal of Medical Imaging Technology ; (12): 949-953, 2017.
Article in Chinese | WPRIM | ID: wpr-619613

ABSTRACT

Intravoxel incoherent motion (IVIM) can distinguish the molecular diffusion from the pseudo-diffusion of microcircular perfusion to obtain true diffusion coefficient (D),pseudo-diffusion coefficient (D*) and perfusion fraction (f),which are sensitive to detect alterations in cellularity and microcirculation perfusion.IVIM can also evaluate early therapeutic effects,optimize treatment plan,predict prognoses,and provide information for choosing appropriate treatment methods.In this paper,the principle of IVIM and its application in tumor response evaluation were reviewed.

4.
Journal of Chinese Physician ; (12): 1305-1308, 2011.
Article in Chinese | WPRIM | ID: wpr-422742

ABSTRACT

Objective To investigate the expression and clinical significance of CXCR3/CXCL10in human cancer.Methods CXCR3 and CXCL10 were detected in 60 paraffinic tissues of patients with primary breast cancer,20 of mammary fibroma and 20 of mastopathy by immunohistochemistry S-P method and two stage method.Results The expression of CXCR3 (40/60,66.7% ) and CXCL10 (45/60,75%)in breast cancer was higher than that in mastopathy [CXCR3(8/20,40% )x2 =4.44,P =0.035 ;CXCL10( 10/20,50% )x2 =4.36,P =0.037)].The expression of CXCR3 was related to status of axillary lymph node metastasis,clinical stage and the expression of HER-2 (x2 =4.15,P =0.042; x2 =7.74,P =0.021 ;x2 =4.27,P =0.039).The expression of CXCR3 had positive relationship to the number axillary lymph node metastasis( rs =0.375,P =0.003 ),clinical stage ( rs =0.451,P =0.000).Conclusions CXCR3 may be related to the progression and metastasis of breast cancer,and it may be used as a marker of breast cancer prognosis.

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