Objective:To investigate the relationship between the LAMA2 gene expression and the survival time of cancer patients, tumor microenvironment, tumor immune cell infiltration, and the immunotherapy responsiveness in pan-cancer. Methods:Download the expression data matrix and the clinical data from TCGA and IMvigor210, furthermore analyze the correlation between the expression level of LAMA2 and survival time, tumor microenvironment, and immunotherapy responsiveness by R and perform the gene set enrichment analysis of LAMA2 in pan-cancer to explore the related pathways. The Wilcoxon test was used to compare the expression difference of LAMA2 between tumor tissues and normal tissues. Kaplan-Meier method was used for survival analysis, and univariate COX regression analysis was used to evaluate the risk ratio relationship of LAMA2 in various tumors. Spearman correlation analysis was used to evaluate the correlation between the expression level of LAMA2 and tumor microenvironment immune score, as well as immune cell infiltration. Pearson correlation analysis was used to evaluate the correlation between the immunotherapy responsiveness and the expression level of LAMA2. Results:Compared with normal tissues, the expression level of LAMA2 was significantly decreased in most cancer types. In addition, the up-regulation or down-regulationand of LAMA2 expression may indicate the prognosis of patients. Univariate COX regression analysis showed that LAMA2 was significantly associated with prognosis in bladder cancer, renal papillary cell carcinoma, adrenocortical carcinoma, and so on. LAMA2 expression level was also significantly correlated with tumor microenvironment score, immune score and stromal score. Furthermore, the expression level of LAMA2 was correlated with the infiltration of tumor immune cells, including B cell, CD8 + T cell, regulatory T cell, mast cell, and so on. The results of gene set enrichment analysis show that the LAMA2 was mostly involved in the biological process of ion channels, gene expression, and skeletal muscle movement. LAMA2 expression was also associated with tumor mutation burden, microsatellite instability, and cell programmed death-ligand 1 immunotherapy responsiveness. Conclusions:LAMA2 has predictive value for survival and prognosis of patients in tumors, and is significantly correlated with tumor microenvironment, immune cell infiltration, tumor microenvironment, immunotherapy responsiveness, etc. As a potential tumor marker, LAMA2 provides a new direction for tumor prognosis judgment and treatment selection.

Objective To investigate the value of radiomics nomogram model based on enhanced CT for predicting postoperative pancreatic fistula(POPF)in patients undergoing pancreaticoduodenectomy(PD).Methods The clinical and abdominal imaging data of 82 patients who underwent PD were analyzed retrospectively.They were divided into training set and validation set at a ratio of 3∶2.In the venous phase of CT,the maximum slice of the pancreatic duct was selected to delineate the region of interest(ROI),and the features were extracted and screened to construct the radiomics model.The independent risk factors associated with POPF were screened by univariate and multivariable logistic regression analyses to construct the clinical model.A nomogram model was created by combining Radiomics score(Radscore)and clinical risk factors.The diagnostic performance of the model was verified by the vali-dation set.Results The nomogram model demonstrated significant predictive power,with an area under the curve(AUC)of 0.862 and 0.806 in the training set and validation set,respectively.Conclusion The nomogram model exhibits excellent predictive performance and outperforms the clinical model and radiomics model in predicting POPF,which can provide important guidance for clinical deci-sion-making.

Objectives:To compare the HbA 1c results on capillary electrophoresis (CE), cation exchange-high performance liquid chromatography (CE-HPLC), and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Methods:902 normal samples without hemoglobin variants and 83 samples with hemoglobin variants were collected in 2020. The variants were divided into α-chain, β-chain, γ-chain, and δ-chain variants. The 902 samples without hemoglobin variants were measured by CE, CE-HPLC, and MALDI-TOF MS. Three methods were used for measuring α-chain, β-chain, and γ-chain compared with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) reference method. According to the EP9-A3 guideline, Passing-Bablok regression and concordance correlation coefficient (CCC) were performed for correlation and consistency, respectively. The imprecision was assessed by coefficient of variance (CV). The mean relative bias was calculated and compared with the lowest biological variation bias of 2.3%.Results:All three methods met the acceptance of imprecision requirements (<2%). The R 2 and CCC for the normal samples were all above 0.95 between the pairwise comparison of CE, CE-HPLC, and MALDI-TOF MS. The mean relative bias between MALDI-TOF MS and CE-HPLC was higher than the lowest biological variation bias of 2.3%. The R 2 results between CE and LC-MS/MS results of α-chain, β-chain, γ-chain variants were>0.95, and the mean relative biases for γ-chain variants exceeded the lowest biological variation bias of 2.3%. A bad correlation ( R2=0.66) for β-chain variants was shown between CE-HPLC and LC-MS/MS and the mean relative biases of all variant samples exceeded 2.3%. MALDI-TOF MS showed good correlations with LC-MS/MS for three groups, and the mean relative biases for γ-chain variants were higher than 2.3%. Conclusion:MALDI-TOF MS and CE-HPLC with CE had good comparability in the measurement of HbA 1c in normal samples, butthe three methods showed interferences from different types of Hb variants and the CE method was affected with less interference.

Objective: To prospectively compare single-shot (SS) echo-planar imaging (EPI) and field-of-view optimized and constrained undistorted single-shot multiplexed sensitivity-encoding (FOCUS MUSE) for diffusion-weighted imaging (DWI) in evaluating thyroid-associated ophthalmopathy (TAO). Materials and Methods: SS EPI and FOCUS MUSE DWIs were obtained from 39 patients with TAO (18 male; mean ± standard deviation: 48.3 ± 13.3 years) and 26 healthy controls (9 male; mean ± standard deviation: 43.0 ± 18.5 years). Two radiologists scored the visual image quality using a 4-point Likert scale. The image quality score, signal-to-noise ratio (SNR), contrast-tonoise ratio (CNR), and apparent diffusion coefficient (ADC) of extraocular muscles (EOMs) were compared between the two DWIs. Differences in the ADC of EOMs were also evaluated. The performance of discriminating active from inactive TAO was assessed using receiver operating characteristic curves. The correlation between ADC and clinical activity score (CAS) was analyzed using Spearman correlation. Results: Compared with SS EPI DWI, FOCUS MUSE DWI demonstrated significantly higher image quality scores (P < 0.001), a higher SNR and CNR on the lateral rectus muscle (LRM) and medial rectus muscle (MRM) (P < 0.05), and a non-significant difference in the ADC of the LRM and MRM. Active TAO showed higher ADC than inactive TAO and healthy controls with both SS EPI and FOCUS MUSE DWIs (P < 0.001). Inactive TAO and healthy controls did not show a significant ADC difference with both DWIs. Compared with SS EPI DWI, FOCUS MUSE DWI demonstrated better discrimination of active from inactive TAO (AUC:0.925 vs. 0.779; P = 0.007). The ADC was significantly correlated with CAS in SS EPI DWI (r = 0.391, P < 0.001) and FOCUS MUSE DWI (r = 0.645, P < 0.001). Conclusion FOCUS MUSE DWI provides better images for evaluating EOMs and better performance in diagnosing active TAO than SS EPI DWI. The application of FOCUS MUSE will facilitate the DWI evaluation of TAO.

Objective:To compare results of four glycosylated hemoglobin A1c (HbA1c) detection methods and to evaluate the uncertainty of HbA1C results in clinical laboratory, and to provide method for clinical laboratory on the evaluation of uncertainty.Methods:According to the four uncertainty evaluation methods, which were recommended by "CNAS-TRL-001, the evaluation and expression of measurement uncertainty in medical laboratory", the relative and absolute uncertainty of low, medium and high HbA1c in 33 clinical laboratories measured in 2019 and 35 clinical laboratories measured in 2020 was evaluated by more than 6 months of internal quality control (IQC) data, trueness verification and external quality assessment (EQA) data. The four uncertainty evaluation methods were: IQC data and trueness verification data (method 1), only trueness verification data (method 2), IQC and EQA data (method 3) and only EQA data (method 4). The related statistical methods used in this analysis were Friedman and Wilcoxon signed rank test.Results:For method 1, the median range of relative and absolute uncertainty of low, medium and high HbA1c detection in 2019 and 2020 ranged from 4.21% to 9.24% and from 0.27% to 0.64%, respectively. Compared to method 1, the relative and absolute uncertainties obtained by method 2 were smaller, and the differences were statistically significant ( P<0.016 7, P<0.05). Compared to method 1, the relative uncertainties obtained by method 3 and method 4 were smaller, except for the high concentration of HbA1c level in 2020. Among the 6 pairs of comparisons (low, medium and high HbA1c in 2019 and 2020), there were 3 pairs (high HbA1c in 2019, low and medium HbA1c in 2020) and 2 pairs (low and high HbA1c in 2020) of differences with statistical significance (all P<0.016 7). Conclusion:The uncertainty evaluation of HbA1c detection in clinical laboratory should be evaluated based on IQC and trueness verification data.

Objective:To explore the value of radiomics model based on intratumoral and peritumoral early dynamic contrast-enhanced (DCE) MRI for identifying benign and malignant in breast imaging reporting and data system (BI-RADS) 4 tumors.Methods:A total of 191 patients diagnosed with BI-RADS 4 breast tumors by breast MRI examination with clear pathological diagnosis from January 2016 to December 2020 in the First Affiliated Hospital of Bengbu Medical College were analyzed retrospectively, including 77 benign and 114 malignant cases, aged 23-68 (46±10) years. The one-slice image with the largest area of the lesion of the second stage DCE-MRI images was selected to outline the region of interest, and automatically conformal extrapolated by 5 mm to extract the intra-tumoral and peritumoral radiomics features. The included cases were randomly divided into training and testing cohorts in the ratio of 8∶2. The statistical and machine learning methods were used for feature dimensionality reduction and selection of optimal radiomics features, and logistic regression was used as the classifier to establish the intratumoral, peritumoral, and intratumoral combined with peritumoral radiomics models. The independent risk factors that could predict the benignity and malignancy of breast tumors were retained as clinical-radiological characteristics by univariate and multivariate logistic regression to establish a clinical-radiological model. Finally, the intratumoral and peritumoral radiomics features were combined with clinical-radiological features to develop a combined model of the three. The receiver operating curve was used to analyze the predictive performance of each model and calculate the area under the curve (AUC),the AUC was compared by DeLong test. The stability of the three-component combined diagnostic model was tested by 10-fold cross-validation, and the model was visualized by plotting nomogram and calibration curves.Results:In the training cohort, the AUC of the three-component combined model for identifying benign and malignant BI-RADS 4 breast tumors was significantly higher than that of the intratumoral radiomics model ( Z=3.38, P<0.001), the peritumoral radiomics model ( Z=4.01, P<0.001), the intratumoral combined with peritumoral radiomics model ( Z=3.11, P=0.002), and the clinical-radiological model ( Z=3.24, P=0.001). And the AUC, sensitivity, specificity, accuracy, and F1-score of the three-component combined model were 0.932, 91.2%, 86.9%, 87.0% and 0.89, respectively. In the testing cohort, the three-component combined model also had the highest AUC value (0.875), and diagnostic sensitivity, specificity, accuracy and malignancy F1-score were 95.7%, 62.5%, 76.9%, and 0.89, respectively. The AUC calculated by 10-fold cross-validation was 0.90 (0.85-0.92), and the predicted curve of the three-component combined model in the calibration curve was in good agreement with the ideal curve. Conclusion:The three-component combined diagnostic model based on the intratumoral and peritumoral radiomics features and clinical-radiological features of early DCE-MRI has good performance and stability for identifying the benign and malignant in BI-RADS 4 breast tumors, and it can provide guidance for clinical decision non-invasively.

Objective:To explore the efficacy of precision hepatectomy in the treatment of single hepatocellular carcinoma with microvascular invasion (MVI) of and the risk factors of positive incisal margin after operation.Methods:The clinical data of 212 patients with single hepatocellular carcinoma with MVI treated in Affiliated Hospital of Panzhihua University from July 2016 to July 2019 were analyzed retrospectively. 152 patients were treated with precision hepatectomy and 60 patients with traditional hepatectomy. According to the pathological results of postoperative liver resection, the patients treated with precision hepatectomy were divided into two groups: negative group ( n=129) and positive group ( n=23). The operation-related indexes, postoperative complications and disease-free survival rate of precision hepatectomy and traditional hepatectomy were compared, and the general data of patients with negative and positive liver cutting edge were compared. multivariate analysis of the factors affecting the positive liver cutting edge after operation; to construct a line chart prediction model to predict the positive liver cutting edge after operation, and to evaluate its predictive efficiency. Normally distributed measurement data are represented by mean±standard deviation ( Mean± SD), independent t-test is used for comparison between groups; count data are represented by the number of cases and percentages, and χ2 test is used for comparison between groups. Results:The operative time, intraoperative blood loss, postoperative hospital stay, positive rate of surgical margin, total incidence of postoperative complications, AFP negative conversion rate 6 months after operation, and 1-year disease-free survival rate of precision hepatectomy were (328.62±38.74) min, (496.83±59.76) mL, (15.28±3.61) d, 15.13% (23/152), 3.95% (6/152), 81.58% (124/152), 67.11% (102/152), respectively. The mean values of traditional hepatectomy were (315.29±40.95) min, (681.46±58.27) mL, (23.87±4.65) d, 28.33% (17/60), 21.67% (13/60), 66.67% (40/60) and 46.67% (28/60), respectively, the difference was statistically significant ( P<0.05). Univariate analysis showed that the positive liver resection margin after precision liver resection was related to the maximum diameter of the tumor, vascular tumor thrombus, TNM staging, BCLC staging, liver cirrhosis, AFP 2 months after surgery, and the distance between the tumor and the resection margin ( OR=3.645, 5.248, 4.285, 4.462, 3.883, 3.964, 3.872; 95% CI: 2.875-4.415, 4.426-6.070, 3.271-5.299, 3.354-5.570, 3.062-4.704, 3.248-4.680, 2.987-4.757; P<0.05). Maximum tumor diameter >5 cm, vascular tumor thrombus, TNM stage Ⅲ, BCLC stage C, liver cirrhosis, postoperative AFP ≥20 μg Uniql, the distance between the tumor and the resection margin was <1 mm were the risk factors of positive incisal margin after precision hepatectomy in patients with single liver cancer with MVI( OR=6.685, 8.425, 7.758, 7.854, 7.124, 7.246, 6.926; 95% CI: 5.828-7.542, 7.6385-9.212, 6.926-8.590, 7.062-8.646, 6.583-7.665, 6.618-7.874, 6.028-7.824; P<0.05). The constructed line chart prediction model had better differentiation and higher accuracy. Conclusions:Precision hepatectomy in the treatment of single hepatocellular carcinoma with MVI has the advantages of less intraoperative bleeding, faster postoperative recovery, less postoperative complications, low positive rate of liver incisal margin and high disease-free survival rate. The construction of a risk prediction model with positive surgical margin provides a reference for improving the survival rate of patients in clinic.

Objective:To investigate the skin positioning error in total breast radiotherapy after breast cancer surgery through image analysis.Methods:The study period was from January 2019 to June 2019. A total of 80 patients who received breast-conserving breast cancer surgery and adjuvant radiotherapy during this period in Zhejiang Cancer Hospital were selected. The CT positioning image for each patient in the treatment plan was created and the relevant cone beam computed tomography verification film after the patient positioning setting was obtained during radiotherapy, and the positioning map and the verification film to each patient through image processing software skin surface location were overlapped. The isocenter deviation of the nipple-lung ( X) and cranial tail ( Y) directions and the deviation of the X and Y axis rotation angle of the superimposed image were measured. Results:In the 80 patients, the system error ( μ, Σ) and random error ( σ) were calculated based on the X-axis and Y-axis deviation and the rotation angle deviation. The μ value of X-axis, Y-axis and rotation angle were (0.01 ± 0.01) mm, (-1.35 ± 0.14) mm and (0.06 ± 0.01)°. The Σ value of X-axis, Y-axis and rotation angle were (1.76 ± 0.72) mm, (1.49 ± 0.58)mm and (0.90 ± 0.12)°. The σ value of X-axis, Y-axis and rotation angle were (1.34 ± 0.96) mm, (1.93 ± 1.02) mm and (1.0 ± 0.2)°. The average value of the total vector error in the left and right patients were (3.02 ± 1.26), (2.88 ± 1.03) and (3.25 ± 1.38) mm, which had no clinical significance. Conclusions:In the routine breast radiotherapy after breast-conserving surgery, the smallest position error of the skin can be obtained by using the skin surface position combined with image processing software.

Lumbar brucellar spondylitis is an infectious disease caused by the invasion of brucella. The incidence has been on the rise in recent years. And it threatens people's health seriously. Early and proper diagnosis and treatment is the key to cure patients with lumbar brucella spondylitis. However, in the early stage of the disease, there are only nonspecific symptoms such as back pain, fever, and sweating. If the patient has the above symptoms and epidemiological history of direct or indirect livestock contact, and inflammatory signals of the vertebrae or intervertebral space are visible on MRI, the possibility of early infection of lumbar brucella spondylitis should be considered. It is not difficult to make the diagnosis of lumbar brucella spondylitis in the middle and late stages by taking into account the epidemiology, symptoms, signs, laboratory tests, and the imaging features such as narrowing of the intervertebral space, abnormal signals of the vertebral body and disc, bone destruction and sclerosis, "lace-like" appearance, sequestrum formation and limited paraspinal abscess. Patients in these stages often present with serious manifestations such as lumbar instability due to bone destruction, and the focus is on surgical intervention. The basic principle of surgical treatment is lesion removal combined with fixation. Intraoperative reduction of damage to bone and ligamentous structures such as the posterior ligamentous complex and strong fixation will contribute to the complete cure of the disease. By referring to the literature on lumbar brucellar spondylitis, this paper focuses on the etiology, pathogenesis, clinical manifestations, imaging features, laboratory tests and conservative and surgical treatment of the disease, aiming to provide a basis for clinical diagnosis and treatment.