A multi-center study on evaluation of leukocyte differential performance by an artificial intelligence-based Digital Cell Morphology Analyzer / 中华检验医学杂志

Objective:To evaluate the performance of an artificial intelligent (AI)-based automated digital cell morphology analyzer (hereinafter referred as AI morphology analyzer) in detecting peripheral white blood cells (WBCs).Methods:A multi-center study. 1. A total of 3010 venous blood samples were collected from 11 tertiary hospitals nationwide, and 14 types of WBCs were analyzed with the AI morphology analyzers. The pre-classification results were compared with the post-classification results reviewed by senior morphological experts in evaluate the accuracy, sensitivity, specificity, and agreement of the AI morphology analyzers on the WBC pre-classification. 2. 400 blood samples (no less than 50% of the samples with abnormal WBCs after pre-classification and manual review) were selected from 3 010 samples, and the morphologists conducted manual microscopic examinations to differentiate different types of WBCs. The correlation between the post-classification and the manual microscopic examination results was analyzed. 3. Blood samples of patients diagnosed with lymphoma, acute lymphoblastic leukemia, acute myeloid leukemia, myelodysplastic syndrome, or myeloproliferative neoplasms were selected from the 3 010 blood samples. The performance of the AI morphology analyzers in these five hematological malignancies was evaluated by comparing the pre-classification and post-classification results. Cohen′s kappa test was used to analyze the consistency of WBC pre-classification and expert audit results, and Passing-Bablock regression analysis was used for comparison test, and accuracy, sensitivity, specificity, and agreement were calculated according to the formula.Results:1. AI morphology analyzers can pre-classify 14 types of WBCs and nucleated red blood cells. Compared with the post-classification results reviewed by senior morphological experts, the pre-classification accuracy of total WBCs reached 97.97%, of which the pre-classification accuracies of normal WBCs and abnormal WBCs were more than 96% and 87%, respectively. 2. The post-classification results reviewed by senior morphological experts correlated well with the manual differential results for all types of WBCs and nucleated red blood cells (neutrophils, lymphocytes, monocytes, eosinophils, basophils, immature granulocytes, blast cells, nucleated erythrocytes and malignant cells r>0.90 respectively, reactive lymphocytes r=0.85). With reference, the positive smear of abnormal cell types defined by The International Consensus Group for Hematology, the AI morphology analyzer has the similar screening ability for abnormal WBC samples as the manual microscopic examination. 3. For the blood samples with malignant hematologic diseases, the AI morphology analyzers showed accuracies higher than 84% on blast cells pre-classification, and the sensitivities were higher than 94%. In acute myeloid leukemia, the sensitivity of abnormal promyelocytes pre-classification exceeded 95%. Conclusion:The AI morphology analyzer showed high pre-classification accuracies and sensitivities on all types of leukocytes in peripheral blood when comparing with the post-classification results reviewed by experts. The post-classification results also showed a good correlation with the manual differential results. The AI morphology analyzer provides an efficient adjunctive white blood cell detection method for screening malignant hematological diseases.

A multi-center research on the establishment and validation of autoverification rules for blood analysis / 中华检验医学杂志

Objective@#To establish a set of rules for autoverification of blood analysis, in order to provide a way to validate autoverification rules for different analytical systems, which can ensure the accuracy of test results as well as shorten turnaround time (TAT) of test reports.@*Methods@#A total of 34 629 EDTA-K2 anticoagulated blood samples were collected from multicenter cooperative units including the First Hospital of Jinlin University during January 2017 to November 2017. These samples included: 3 478 cases in Autoverification Establishment Group, including 288 cases for Delta check rules; 5 362 cases in Autoverification Validation Group, including 2 494 cases for Delta check; 25 789 cases in Clinical Application Trial Group. All these samples were analyzed for blood routine tests using Sysmex XN series automatic blood analyzers.Blood smears, staining and microscopic examination were done for each sample; then the clinical information, instrument parameters, test results and microscopic results were summarized; screening and determination of autoverification conditions including parameters and cutoff values were done using statistical analysis. The autoverification rules were input into Sysmex Laboman software and undergone stage Ⅰ validation using simulated data, and stage Ⅱ validation for post-analytical samples successively. True negative, false negative, true positive, false positive, autoverification pass rate and passing accuracy were calculated. Autoverification rules were applied to autoverification blood routine results and missed detection rates were validated, and also data of autoverification pass rate and TAT were obtained.@*Results@#(1)The selected autoverification conditions and cutoff values included 43 rules involving WBC, RBC, PLT, Delta check and abnormal characteristics. (2)Validation of 3 190 cases in Autoverification Establishment Group showed the false negative rate was 1.94%(62/3 190)(P<0.001), autoverification pass rate was 76.74%, passing accuracy was 97.47%; Validation of 2 868 cases in Autoverification Validation Group, the false negative rate was 3.38%(97/2 868)(P=0.002), autoverification pass rate was 42.26%, passing accuracy was 92.00%; Validation of Delta check on 288 cases in Autoverification Establishment Group and 2 494 cases in Autoverification Validation Group showed the false negative rates were respectively 1.39% and 2.61%(P<0.001). (3)Three hospitals adopted these rules of autoverification for 25 789 blood routine samples, and found that the average TAT of blood routine test reports were shortened by 24min, 32min and 7min respectively, the rate of samples reported within 30min were elevated by 33%, 53% and 7%. The autoverification pass rates were 72%-74%.@*Conclusions@#The application of this set of 43 autoverification rules in blood sample analysis can ensure test quality while shortenTAT and improve work efficiency. It is worth pointing out that for the same analytical systems in this research, validation is necessary before application of this set of rules, and periodic validation is required during application to make necessary adjustment; for different analytical systems, as this research provide a way to establish autoverification rules for blood routine tests.Clinical labs may establish their own suitable autoverification rules on the basis of technological parameters. (Chin J Lab Med, 2018, 41: 601-607)

Association of programmed cell death 1 (PDCD1) gene polymorphisms with colorectal cancer among Han Chinese population / 中华医学遗传学杂志

<p><b>OBJECTIVE</b>To assess the association of programmed cell death 1 (PDCD1) gene polymorphisms with the susceptibility and/or progression of colorectal cancer.</p><p><b>METHODS</b>A hospital-based case-control study was carried out, which recruited 426 colorectal cancer patients and 500 healthy individuals. Five single nucleotide polymorphisms, namely rs36084323, rs11568821, rs2227981, rs2227982 and rs10204525, were selected for the study and genotyped with a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay.</p><p><b>RESULTS</b>The G allele of rs36084323 under a dominant model was associated with increased risk of advanced TNM staging of colorectal cancer progression (OR=1.59, 95%CI=1.02-2.48). Haplotypes G-G-C-T-A and A-G-C-C-G of the rs36084323, rs11568821, rs2227981, rs2227982, and rs10204525 were negatively associated with the occurrence of colorectal cancer.</p><p><b>CONCLUSION</b>The G allele of rs36084323 is associated with increased risk of advanced TNM staging of colorectal cancer. Conversely, the incidence of colorectal cancer is negatively associated with the haplotypes G-G-C-T-A and A-G-C-C-G of rs36084323, rs11568821, rs2227981, rs2227982, and rs10204525.</p>

Evaluation of the Nucleated Red Blood Cells Count of Sysmex XN-9000 Automatic Hematology Analyzer and the Validation of Manual Method / 现代检验医学杂志

Objective To evaluate the nucleated red blood cell (NRBC)count of Sysmex XN-9000 automatic hematology anal-ysis lines comparing with manual method,and verify the accuracy of the analyzer results.Methods 60 blood samples with more than 1% of NRBCs detected by XN-9000 were counted NRBCs by traditional manual microscopy in blood smears,and verified the analyzer results.Results According to the reliability analysis,the results of total 60 samples were all within the range of the reliability;correlation analysis showed that correlation coefficient (r)of group NRBC (%)1~10 and>10 were 0.972 1 and 0.996 2,respectively.There were no significant differences between them (P>0.05).Conclusion Compared with manual method,the results of NRBC count of XN-9000 were within the range of reliability,and showed good correla-tion.The analyzer test results of NRBC were accurate and reliable and could be applied to the detection of clinical samples.

The clinical analysis of 62 cases of Rathke's cleft cysts treated by microsurgical transsphenoidal surgery / 中华显微外科杂志

Objective To discuss the preoperative diagnosis and the effect of microsurgical transsphenoidal surgery of pituitary Rathke's cleft cysts.Methods Retrospective analysis was performed from January,2011 to May,2015 on 62 cases of Rathke's cleft cyst which confirmed by surgery and pathology at the First Affiliated Hospital of Sun Yat-sen University.Sixty-two cases were performed by the surgery of transsphenoidal approach.Results There were 50 cases with a correct preoperative diagnosis of and consider Rathke's cleft cyst,12 cases of misdiagnosis.Postoperative follow-up was performed within 6-12 months,and the patient's clinical symptons were improved in different degrees,1 case of recurrence,no deaths and serious complications.Conclusion The diagnosis of Rathke's cleft cyst need for comprehensive considerations from many aspects,and the improvement of diagnosis rate base on the clinical features,endocrine examination,and imaging data.The microsurgical transsphenoidal surgery is safe and effective treatment for Rathke's cleft cyst.

A marine anthraquinone SZ-685C inhibits cell proliferation and induces apoptosis in GH3 cells / 中华显微外科杂志

Objective To explore the effect of SZ-685C on rat pituitary adenoma GH3 cell line.Methods MTT method evaluated its effect of proliferation and inhibitory concentration 50 (IC5o) on GH3 cells,after treated by 0,2.5,5.0,7.5,10.0,12.5,15.0,17.5,20.0 and 30.0 μmol/L SZ-685C for 48 h,GH3 cells were changed to complete medium for 12 d,crystal violet staining was used to investigate colony formation; microscopy and Hoechst 33342 staining assay observed whether the changes of morphological as the result of apoptosis,then detected cell apoptosis by flow cytometry.Results SZ-685C had a dose-dependent inhibitory effect on GH3 cell proliferation and IC50 was (12.9 ± 0.47) μmol/L,MEF(considered as a control group) had little affect in cell proliferation on the concentration of IC50.Inhibitory effects persisted even on removal of SZ- 685C after 12 d,and SZ-685C blocked colony formation ability of pituitary tumor cells.Apoptotic morphological observation of microscope and Hoechst 33342 staining proved apoptosis during treatment of SZ-685C,flow cytometry detection showed that SZ-685C induces 36.4％ of apoptosis,while only 2.0％ in control group.Conclusion SZ-685C inhibits pituitary tumor cell proliferation and induces apoptosis.SZ-685C can be a new anti-patuitary tumor drug for a further study.