Objective To evaluate the application of ELISA randomized quality control,and continuously improve the laboratory testing capacity and quality assurance,in order to gradually improve the application of randomized quality control to the daily testing of ELISA.Methods Collected the quality control data of KEHUA HBsAg,compared the difference between randomized quality control data and immobilized quality control data.Group comparison of randomization quality control between rows and columns.The randomized quality control data were analyzed retrospectively and the quality control chart was established by using the randomized quality control data.Analyzed and compared the lost-control situation of randomized quality control and immobilized quality control.Results Randomized quality control S/CO value(2.831±0.343)and immobilized quality control S/CO value(2.651±0.260)in the same microplate,the difference between two was statistically significant(t=5.970,P＜0.05).The differences between randomized quality control and immobilized quality control in columns 2 to 8 were statistically significant(t=2.285～5.536,all P<0.05).There were no statistically significant differences between randomized quality control and immobilized quality control in column 9 to 12(t=0.031～1.605,all P>0.05).There was no statistically significant difference in randomization quality control among all lines(F=0.858,P＞0.05).The randomized quality control data was used to establish a quality control chart.Within the time range of the collected data,the randomized quality control was out of control for 6 times,all were greater than+3s,and the loss of control rate was 4.72%(6/127).Fixed position quality control lost control 9 times during the same period,all of which were greater than+3s,with a loss of control rate of 0.61%(9/1 481).Conclusion The randomized quality control has a greater possibility to reflect the factors affecting all the samples on the microporous plate.Random quality control can be used to find possible systematic errors in testing.Randomized quality control can gradually be fully applied to daily indoor quality control,but the loss of control rate and coefficient of variation may increase.

Objective:To analyze the correlation between thymus dose-volume parameters and lymphopenia in patients with early-stage breast cancer (BC) receiving adjuvant radiotherapy (RT).Methods:Medical records of 54 patients with early-stage BC who received postoperative adjuvant RT in the Second Affiliated Hospital of Soochow University from January to December 2019 were retrospectively analyzed. Absolute lymphocyte counts (ALC) were collected at 1 month before (baseline) and weekly during RT. Lymphopenia was graded based according to the common terminology criteria for adverse events version 5.0 and nadir/baseline ALC was calculated. The thymus was delineated according to anatomical boundaries in the original RT planning system. Dosimetric parameters were obtained from the dose volume histograms. Stepwise multiple linear regression analysis was used to explore the factors associated with nadir/baseline ALC. The cutoff values of dosimetric parameters for predicting ≥grade 3 lymphopenia were obtained using the receiver operating characteristic (ROC) curve.Results:The proportion of 54 patients experiencing ≥ grade 3 lymphopenia was 38.9%. The median value of thymus volume, mean dose, V 5 Gy, V 10 Gy were 14.02 cm 3, 4.95 Gy, 36.18%, and 6.61%, respectively. Stepwise multiple linear regression analysis revealed that baseline ALC ( P=0.005), quadrant location ( P=0.005) and mean thymus dose ( P<0.001) were significantly associated with nadir/baseline ALC. ROC curve analysis indicated that the cutoff values of thymus mean dose, V 5 Gy and V 10 Gy for predicting ≥ grade 3 lymphopenia were 6.12 Gy, 35.2%, and 7.4%, respectively. Conclusions:Lymphopenia in early-stage BC patients is significantly correlated with high dosimetric parameters of the thymus during postoperative adjuvant RT. Thymus may be considered as an organ at risk during RT.

Objective:To investigate the feasibility and value of nomogram based on base line clinical and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) characteristics for pretreatment predicting the depth of myometrial invasion and tumor grade of endometrioid endometrial carcinoma (EEC).Methods:Preoperative baseline clinical characteristics and DCE-MRI characteristics of 194 EEC patients were prospectively collected at Obstetrics and Gynecology Hospital, Fudan University from October 2020 to January 2022 and used as a training set. Univariate analysis was conducted to compare baseline clinical characteristics and DCE-MRI quantitative parameters [including tumor volume, and mean, median, and standard deviation of volume transfer constant (K trans), rate constant (K ep), extravascular extracellular volume fraction (V e), and initial area under the enhancement curve (iAUC)] between patients with deep myometrial invasion (DMI) and those with superficial myometrial invasion (SMI), as well as between high-grade and low-grade EEC. Multivariate logistics regression analysis was used to identify independent predictors for the construction of nomogram. An independent external testing set comprising 127 EEC patients was retrospectively collected from Zhongshan Hospital, Fudan University and Zhongshan Hospital, Fudan University (Xiamen Branch). The area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used for evaluating the model′s predictive performance and clinical net benefit, respectively. Results:(1) The depth of myometrial invasion: univariate analysis showed that in the training set, the EEC patients with DMI differed significantly from those with SMI in clinical characteristics including higher proportion of postmenopausal state and overweight [body mass index (BMI)≥25 kg/m2], and abnormal levels of serum cancer antigen (CA) 125, CA 199, and human epididymis protein 4 (HE4), and in DCE-MRI quantitative parameters including tumor volume, and median, mean, and standard deviation of K trans, median of V e, as well as median, mean, and standard deviation of iAUC (all P<0.05). Multivariate analysis showed that the patient′s menstrual status, BMI, CA 199, tumor volume, and mean of iAUC were independent predictors of the depth of myometrial invasion, and constructed the nomogram (recorded as Nomogram_1), achieving an AUC of 0.861 (95% CI: 0.803-0.919) in the training set. In the independent external testing set, the AUC was 0.876 (95% CI: 0.815-0.938), with corresponding sensitivity of 82.0%, specificity of 80.7%, accuracy of 81.1%, positive predictive value (PPV) of 65.3%, and negative predictive value (NPV) of 91.0% for predicting DMI. (2) The EEC grade: univariate analysis showed that in the training set, high-grade EEC patients differed significantly from low-grade EEC in clinical characteristics including patient′s age, the proportion of postmenopausal state and overweight, and abnormal levels of serum CA 125, and in DCE-MRI quantitative parameters including tumor volume, median, mean, and standard deviation of K trans, median and mean of V e, as well as median, mean, and standard deviation of iAUC (all P<0.05). Multivariate analysis showed that the patient′s menstrual status, BMI, tumor volume, and median of V e emerged as independent predictors of EEC grade, and constructed the nomogram (recorded as Nomogram_2), achieving an AUC of 0.845 (95% CI: 0.786-0.893) in the training set. While in the external testing set, the AUC was 0.819 (95% CI: 0.744-0.894), with corresponding sensitivity of 72.4%, specificity of 72.4%, accuracy of 72.4%, PPV of 43.8%, and NPV of 89.9% for predicting high-grade EEC. (3) The DCA curves demonstrated that both Nomogram_1 and Nomogram_2 yielded obvious positive clinical net benefits across a wide range of threshold probabilities. Conclusion:The nomogram based on pretreatment clinical and DCE-MRI characteristics has the potential to noninvasive predict the depth of myometrial invasion and grade of EEC, providing valuable reference information for clinical management decision-making.

Objective To evaluate the application of ELISA randomized quality control,and continuously improve the laboratory testing capacity and quality assurance,in order to gradually improve the application of randomized quality control to the daily testing of ELISA.Methods Collected the quality control data of KEHUA HBsAg,compared the difference between randomized quality control data and immobilized quality control data.Group comparison of randomization quality control between rows and columns.The randomized quality control data were analyzed retrospectively and the quality control chart was established by using the randomized quality control data.Analyzed and compared the lost-control situation of randomized quality control and immobilized quality control.Results Randomized quality control S/CO value(2.831±0.343)and immobilized quality control S/CO value(2.651±0.260)in the same microplate,the difference between two was statistically significant(t=5.970,P＜0.05).The differences between randomized quality control and immobilized quality control in columns 2 to 8 were statistically significant(t=2.285～5.536,all P<0.05).There were no statistically significant differences between randomized quality control and immobilized quality control in column 9 to 12(t=0.031～1.605,all P>0.05).There was no statistically significant difference in randomization quality control among all lines(F=0.858,P＞0.05).The randomized quality control data was used to establish a quality control chart.Within the time range of the collected data,the randomized quality control was out of control for 6 times,all were greater than+3s,and the loss of control rate was 4.72%(6/127).Fixed position quality control lost control 9 times during the same period,all of which were greater than+3s,with a loss of control rate of 0.61%(9/1 481).Conclusion The randomized quality control has a greater possibility to reflect the factors affecting all the samples on the microporous plate.Random quality control can be used to find possible systematic errors in testing.Randomized quality control can gradually be fully applied to daily indoor quality control,but the loss of control rate and coefficient of variation may increase.

Objective:To investigate the feasibility and value of nomogram based on base line clinical and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) characteristics for pretreatment predicting the depth of myometrial invasion and tumor grade of endometrioid endometrial carcinoma (EEC).Methods:Preoperative baseline clinical characteristics and DCE-MRI characteristics of 194 EEC patients were prospectively collected at Obstetrics and Gynecology Hospital, Fudan University from October 2020 to January 2022 and used as a training set. Univariate analysis was conducted to compare baseline clinical characteristics and DCE-MRI quantitative parameters [including tumor volume, and mean, median, and standard deviation of volume transfer constant (K trans), rate constant (K ep), extravascular extracellular volume fraction (V e), and initial area under the enhancement curve (iAUC)] between patients with deep myometrial invasion (DMI) and those with superficial myometrial invasion (SMI), as well as between high-grade and low-grade EEC. Multivariate logistics regression analysis was used to identify independent predictors for the construction of nomogram. An independent external testing set comprising 127 EEC patients was retrospectively collected from Zhongshan Hospital, Fudan University and Zhongshan Hospital, Fudan University (Xiamen Branch). The area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used for evaluating the model′s predictive performance and clinical net benefit, respectively. Results:(1) The depth of myometrial invasion: univariate analysis showed that in the training set, the EEC patients with DMI differed significantly from those with SMI in clinical characteristics including higher proportion of postmenopausal state and overweight [body mass index (BMI)≥25 kg/m2], and abnormal levels of serum cancer antigen (CA) 125, CA 199, and human epididymis protein 4 (HE4), and in DCE-MRI quantitative parameters including tumor volume, and median, mean, and standard deviation of K trans, median of V e, as well as median, mean, and standard deviation of iAUC (all P<0.05). Multivariate analysis showed that the patient′s menstrual status, BMI, CA 199, tumor volume, and mean of iAUC were independent predictors of the depth of myometrial invasion, and constructed the nomogram (recorded as Nomogram_1), achieving an AUC of 0.861 (95% CI: 0.803-0.919) in the training set. In the independent external testing set, the AUC was 0.876 (95% CI: 0.815-0.938), with corresponding sensitivity of 82.0%, specificity of 80.7%, accuracy of 81.1%, positive predictive value (PPV) of 65.3%, and negative predictive value (NPV) of 91.0% for predicting DMI. (2) The EEC grade: univariate analysis showed that in the training set, high-grade EEC patients differed significantly from low-grade EEC in clinical characteristics including patient′s age, the proportion of postmenopausal state and overweight, and abnormal levels of serum CA 125, and in DCE-MRI quantitative parameters including tumor volume, median, mean, and standard deviation of K trans, median and mean of V e, as well as median, mean, and standard deviation of iAUC (all P<0.05). Multivariate analysis showed that the patient′s menstrual status, BMI, tumor volume, and median of V e emerged as independent predictors of EEC grade, and constructed the nomogram (recorded as Nomogram_2), achieving an AUC of 0.845 (95% CI: 0.786-0.893) in the training set. While in the external testing set, the AUC was 0.819 (95% CI: 0.744-0.894), with corresponding sensitivity of 72.4%, specificity of 72.4%, accuracy of 72.4%, PPV of 43.8%, and NPV of 89.9% for predicting high-grade EEC. (3) The DCA curves demonstrated that both Nomogram_1 and Nomogram_2 yielded obvious positive clinical net benefits across a wide range of threshold probabilities. Conclusion:The nomogram based on pretreatment clinical and DCE-MRI characteristics has the potential to noninvasive predict the depth of myometrial invasion and grade of EEC, providing valuable reference information for clinical management decision-making.

Objective:To analyze the correlation between thymus dose-volume parameters and lymphopenia in patients with early-stage breast cancer (BC) receiving adjuvant radiotherapy (RT).Methods:Medical records of 54 patients with early-stage BC who received postoperative adjuvant RT in the Second Affiliated Hospital of Soochow University from January to December 2019 were retrospectively analyzed. Absolute lymphocyte counts (ALC) were collected at 1 month before (baseline) and weekly during RT. Lymphopenia was graded based according to the common terminology criteria for adverse events version 5.0 and nadir/baseline ALC was calculated. The thymus was delineated according to anatomical boundaries in the original RT planning system. Dosimetric parameters were obtained from the dose volume histograms. Stepwise multiple linear regression analysis was used to explore the factors associated with nadir/baseline ALC. The cutoff values of dosimetric parameters for predicting ≥grade 3 lymphopenia were obtained using the receiver operating characteristic (ROC) curve.Results:The proportion of 54 patients experiencing ≥ grade 3 lymphopenia was 38.9%. The median value of thymus volume, mean dose, V 5 Gy, V 10 Gy were 14.02 cm 3, 4.95 Gy, 36.18%, and 6.61%, respectively. Stepwise multiple linear regression analysis revealed that baseline ALC ( P=0.005), quadrant location ( P=0.005) and mean thymus dose ( P<0.001) were significantly associated with nadir/baseline ALC. ROC curve analysis indicated that the cutoff values of thymus mean dose, V 5 Gy and V 10 Gy for predicting ≥ grade 3 lymphopenia were 6.12 Gy, 35.2%, and 7.4%, respectively. Conclusions:Lymphopenia in early-stage BC patients is significantly correlated with high dosimetric parameters of the thymus during postoperative adjuvant RT. Thymus may be considered as an organ at risk during RT.

Objectives:To investigate the early related factors for hepatic insufficiency after hemihepatectomy and to construct and validate a nomogram model.Methods:This is a retrospective cohort study.There were 207 patients with liver tumor who underwent hemihepatectomy in the Department of Hepatobiliary Surgery, Cancer Hospital, Chinese Academy of Medical Sciences from October 2016 to December 2022. Using the random number method, patients were randomly divided into a model group( n=166) and a validation group( n=41) according to an 4∶1 ratio. There were 118 males and 48 females in the modeling group,with an age ( M(IQR)) of 59.0(13.3) years (range: 22.0 to 81.0 years),42 patients in the group with postoperative liver insufficiency and 124 patients in the group without postoperative liver insufficiency. There were 32 males and 9 females in the validation group, with an age of 54.0(19.0) years (range: 25.0 to 81.0 years). The first results of the peripheral blood test of patients within 24 hours after surgery were collected,and the independent related factors for incomplete postoperative liver function were determined by multivariate Logistic regression analysis,and related factors of postoperative incomplete liver function were screened by best subset selection. A nomogram model of the related factors of postoperative hepatic insufficiency after hemihepatectomy was constructed using R software,validated by internal and external validation of the model. Results:Multivariate logistic regression analysis showed that elevated D-dimer level and decreased antithrombin Ⅲ (AT-Ⅲ) activity within 24 hours after surgery were independent related factors for the development of postoperative hepatic insufficiency in hemihepatectomized patients. The results of the best subset selection showed that ALT, D-dimer, and AT-Ⅲ activity levels within 24 hours postoperatively were the most relevant factors for postoperative hepatic insufficiency. The R software was applied to build a nomogram prediction model based on the above three indicators in the model set, and the receiver operating characteristic(ROC) curve of the model showed an area under the curve of 0.803 and the calibration curve showed a U-index of -0.012 for the model( P=0.977). The results of the clinical decision analysis and the clinical impact curve indicated that the model had good clinical utility. The internal validation results of the Bootstrap method suggested that the model had reasonable consistency. The area under the ROC curve of the validation group model was 0.806, suggesting that the model had a good generalization prediction ability. Conclusions:The levels of ALT, D-dimer, and AT-Ⅲ activity within 24 hours after hemihepatectomy are valuable indicators for predicting liver insufficiency after hemihepatectomy. The nomogram model is reliable and can be used as an indicator for close postoperative monitoring.

Objective To investigate the accuracy and application value of the Tada formula in evalua-ting the meningioma volume based on 3D reconstruction technology.Methods The thin-slice magnetic reso-nance images of 297 patients with meningioma treated in the neurosurgery department of 940 Hospital of PLA Joint logistics Support Force from January 2014 to May 2022 were retrospectively analyzed.The meningioma volume was evaluated by the Tada formula method and three-dimensional reconstruction method respectively.The accuracy of the evaluation of meningeal tumor volume by the Tada formula was analyzed by grouping sta-tistics.Results In the whole sample and the concentrated sample,the obtained meningioma total volumes had no statistical difference between the two methods(P＞0.05),the Spearman correlation coefficients were 0.995 and 0.993 respectively,and the intragroup correlation coefficients(ICC)were 0.992 and 0.989,respec-tively.In the Bland-Altman plot,most of the data points were within the limit of uniformity.Compared with different groups,the Tada formula had a slightly lower accuracy in the volume assessment of meningiomas with higher degree of irregularity,and a better accuracy in the volume assessment of supratentorial meningio-mas than subtentorial meningiomas.Conclusion The Tada formula could accurately evaluate the volume of meningioma,and it could be used as a preliminary method to evaluate meningioma volume in clinic

Objective This study aimed to explore the differences in global and local brain network topological properties between deficient pattern(DP)and excess pattern(EP)of mild vascular cognitive impairment caused by subcortical small vessel disease based on graph theory network.Methods Patients were recruited prospectively and were classified with DP and EP subtype.The global small-world topological attributes and local nodes were calculated for the comparison of DP,EP,and healthy controls(CN)using the GRETNA platform.Results The three groups all had small-world attributes,but only the patients in EP had a significantly lower small world attribute δ in the range of 0.05-0.26 than the control group(P<0.05).The node efficiency and node strength indicators of multiple brain region were able to significantly distinguish the DP group from the EP group.However,there was no positive brain region in the node efficiency of the DP patients(P>0.05),and only a few brain regions showed increased node strength efficiency(P<0.05).Conclusion The results indicate that the syndrome of DP and EP have significantly different neuroimaging phenotypes,providing a basis for further research of biological classification based on Chinese Medicine syndromes.