Study on the value of isolation and extraction of pathological positive cells to improve the detection rate:control trial

OBJECTIVEThe density of pathological positive cells was calculated by flow cytometry, and the target cells were isolated and extracted to improve the detection rate. DESIGNa case-control study. SETTINGHematology Department of Hospital PARTICIPANTSSelected from MDS 33 cases, 17 cases of malignant tumors, 29 cases of lupus erythematosus, 4 cases of plasmodium falciparum disease, a total of 76 cases as positive blood specimens. MAIN OUTCOME MEASURESDesign Research group (group I) : Flow cytometry was used to analyze and calculate the density of various cell types, and then cell separation solution was used to accurately separate and extract target cells of the same density by adjusting the gradient of two different densities, that is, to collect pathologically positive blood cells of the same density. A control group (group II) was established: the whole blood samples of the same patient were compared and analyzed by direct push-film observation. RESULTSAs shown in Figure 2AB-3AB-4AB-5AB, A large number of positive abnormal cells were extracted from group I, which improved the accuracy and specificity of diagnosis. In the control group (group II), only a few positive abnormal cells were found, which was very easy to misdiagnose and miss diagnosis. Data are analyzed from Table 3. According to the statistical results of group I, the positive detection rates were MDS=76%, malignant tumor cells =53%, lupus erythematosus cells =62%, Plasmodium falciparum =75%. In the control group (group II), the positive detection rate was MDS=27%, malignant tumor cells =11%, lupus erythematosus cells =33%, Plasmodium falciparum =25%. Chi-square test was used to compare the mean value of independent samples between groups, and the difference was statistically significant (P<0.05). O_FIG O_LINKSMALLFIG WIDTH=152 HEIGHT=200 SRC="FIGDIR/small/24318866v1_fig2.gif" ALT="Figure 2"> O_LINKSMALLFIG WIDTH=151 HEIGHT=200 SRC="FIGDIR/small/24318866v1_fig2a.gif" ALT="Figure 2"> View larger version (146K): org.highwire.dtl.DTLVardef@478c68org.highwire.dtl.DTLVardef@1533240org.highwire.dtl.DTLVardef@1082c55org.highwire.dtl.DTLVardef@1969478_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 2AB-3AB-4AB-5AB:C_FLOATNO Control effect analysis of positive detection rates of four types of diseases: Study group A (group I) and control Group B (Group II) C_FIG O_TBL View this table: org.highwire.dtl.DTLVardef@ed5732org.highwire.dtl.DTLVardef@1f7d3b1org.highwire.dtl.DTLVardef@16b2b4corg.highwire.dtl.DTLVardef@e7c6cdorg.highwire.dtl.DTLVardef@ace533_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 3:C_FLOATNO O_TABLECAPTIONComparison of the total positive rates of the four diseases(%) C_TABLECAPTION C_TBL CONCLUSIONSThe density of pathologically positive blood cells can be measured by flow cytometry according to the specimens that need to be reviewed by microscopy as indicated by blood routine, and the target cells extracted can be accurately separated, that is, the same density of pathologically positive blood cells can be collected. Combined with the gold standard method of artificial microscopy, the detection rate was significantly improved, and the occurrence of misdiagnosis and missed diagnosis was reduced. For the difference in cell density of various forms in different types of specimens, it only needs to be distinguished from normal cell density, and abnormal pathological positive cells can be accurately extracted, which can help diagnose the positive detection rate of diseases, which is of great significance and value