Objective To investigate the clinical values and influencing factors of1H magnetic resonance spectroscopy(1H-MRS) in breast tumors.Methods Thirty-eight patients with breast tumors confirmed pathologically,including 20 cases of breast cancers and 18 cases of benign tumors examined by dynamic contrast-enhanced MRI and1H-MRS were studied retrospectively in comparison with pathology.The value of1H-MRS in detecting breast cancers was evaluated.Results On1H-MRS,11 breast cancers had increased choline peaks and 3 benign tumors presented increased choline peaks.The sensitivity,specificity and accuracy were 55.0%,83.3%and 68.4% respectively by using choline peak to detect breast cancers.Conclusion 1H-MRS has high diagnostic specificity for breast cancer.The low sensitivity of Choline to be detected rate in breast cancer is mainly dues to the lesions and technique factors.

It has been a general trend to open the 5+3 medical personnel training mode of radiology in China.But at present,there are still a lot of problems during the process,such as,lack of training plan,unified teaching materials and examination index for reference,lack of learning consciousness and self-discipline among the students who participate in the standardization training,lack of adequate teaching resources in the standardization training base,and so on.In order to cultivate qualified and high-quality radiologists,this paper discussed the ways of forming a new set mode of 5+3 medical personnel training in the radiology department through exploration and practice,including strengthening teachers' construction and building a professional teachers troop,reforming the teaching method of standardization training,improving the teaching base infrastructure,establishing and perfecting the assessment evaluation mechanism.

Objective To investigate the differential diagnostic value of computed tomography (CT) combined with serum tumor markers in borderline ovarian tumors (BOT) and benign epithelial ovarian tumors (BET).Methods The CT data in 28 patients with BOT and 41 patients with BET,both confirmed by surgery and pathological,were analyzed retrospectively.Their preoperative serum carbohydrate antigen 125 (CA125),human epididymis secretory protein 4 (HE4) and carcinoembryonic antigen (CEA) detection results were collected.The CT images features and serum tumor markers levels were compared between the two groups.Results The difference in the appearance rate of tumor solid composition,thick septum and wall nodule between the two groups had statistical significance (x2 =25.135,5.240,5.066,P＜0.05).The serum CA125 level had statistical difference between the two groups (Z=3.202,P＜0.05),while serum HE4 and CEA levels had no statistically significant difference between the two groups(Z=0.330,1.122,P＞0.05).The optimal critical value,sensitivity and specificity of serum CA125 level in differential diagnosis of two kinds of tumor was 42.45 U/mL,53.6％ and 85.4％.The overall diagnostic rate of solid composition and thick septum for diagnosing the two kinds of tumor was 78.5 ％.The overall diagnostic rate of solid composition,thick septum and CA125 level for diagnosing the two kinds of tumor was 81.2％.Conclusion The appearance of solid composition,thick septum and serum CA125 level increase in epithelial ovarian tumor may help to identify BOT and BET.

Objective: To investigate the value of initial CT quantitative analysis of ground-glass opacity (GGO), consolidation, and total lesion volume and its relationship with clinical features for assessing the severity of coronavirus disease 2019 (COVID-19). Materials and Methods: A total of 84 patients with COVID-19 were retrospectively reviewed from January 23, 2020 to February 19, 2020. Patients were divided into two groups: severe group (n = 23) and non-severe group (n = 61). Clinical symptoms, laboratory data, and CT findings on admission were analyzed. CT quantitative parameters, including GGO, consolidation, total lesion score, percentage GGO, and percentage consolidation (both relative to total lesion volume) were calculated. Relationships between the CT findings and laboratory data were estimated. Finally, a discrimination model was established to assess the severity of COVID-19. Results: Patients in the severe group had higher baseline neutrophil percentage, increased high-sensitivity C-reactive protein (hs-CRP) and procalcitonin levels, and lower baseline lymphocyte count and lymphocyte percentage (p < 0.001). The severe group also had higher GGO score (p < 0.001), consolidation score (p < 0.001), total lesion score (p < 0.001), and percentage consolidation (p = 0.002), but had a lower percentage GGO (p = 0.008). These CT quantitative parameters were significantly correlated with laboratory inflammatory marker levels, including neutrophil percentage, lymphocyte count, lymphocyte percentage, hs-CRP level, and procalcitonin level (p < 0.05). The total lesion score demonstrated the best performance when the data cut-off was 8.2%. Furthermore, the area under the curve, sensitivity, and specificity were 93.8% (confidence interval [CI]: 86.8–100%), 91.3% (CI: 69.6–100%), and 91.8% (CI: 23.0–98.4%), respectively. Conclusion CT quantitative parameters showed strong correlations with laboratory inflammatory markers, suggesting that CT quantitative analysis might be an effective and important method for assessing the severity of COVID-19, and may provide additional guidance for planning clinical treatment strategies.

Objective:To investigate the feasibility and effectiveness of the blended teaching model for diagnostic radiology based on BOPPPS classroom reconstruction, i.e., bridge-in, objective, pre-assessment, participatory-learning, post-assessment, and summary.Methods:The undergraduate students in the classes of 2017 and 2018 in Department of Medical Imaging were selected as research subjects. The students in the class of 2018 were established as observation group and received the innovative blended teaching model based on BOPPPS classroom reconstruction, and those in the class of 2017 were established as control group and received teaching with traditional theoretical lectures. At the end of the course, 80 students were randomly selected from the observation group and the control group for performance analysis and teaching evaluation. SPSS 26.0 was used to perform the t-test. Results:The observation group had a total score of (82.66±6.18), while the control group had a total score of (76.47±5.42), and compared with the control group, the observation group had significantly higher scores of homework score, course discussion, and final examination ( P<0.05). Compared with the control group, the observation group had significantly higher scores of "understanding of the basic knowledge of imaging", "improvement of comprehensive diagnostic thinking ability", "stimulating the interest in learning and expanding horizons", and "cultivating clinical competence" in the self-evaluation survey ( P<0.05). Conclusion:The blended teaching model based on BOPPPS classroom reconstruction is suitable for the teaching of radiology diagnostics. It not only enriches teaching means and methods and enhances classroom participation and interaction, but also expands teaching space and teaching content.

Objective:To explore the risk factors for early hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (sICH), and construct a clinical-radiomics combined model to predict HE after sICH.Methods:From April 2014 to September 2020, 339 patients with sICH who underwent plain CT scans in Radiology Department of our hospital were recruited. Patients were divided into HE group and non-HE group according to whether HE occurred (HE was defined as an increase in hematoma volume>33% or 6 mL on the follow-up CT within 24 h). The clinical data of non-HE group and HE group were compared, and multivariate Logistic regression analysis was used to detect independent risk factors for HE. The radiomics features were extracted from the regions of interest of the hematoma in the first CT scan images; the optimal radiomics features were selected using least absolute shrinkage and selection operator (LASSO) regression model and 10-fold cross-validation method, and then, the radiomics scores (R-score) were calculated; the risk factors for HE (clinical data) and R-score (radiomics data) were used to construct the clinical model, R-score model, and clinical-radiomics combined model; receiver operating characteristic (ROC) curve was performed to evaluate the prediction performance of clinical model, R-score model, and clinical-radiomics combined model; the best model was visualized as a nomogram and a calibration curve was drawn to evaluate the prediction accuracy of this model.Results:As compared with patients in the non-HE group, patients in the HE group had shorter time from sICH onset to first CT, higher percentage of patients with diabetes, lower platelet count, lower Glasgow Coma Scale (GCS) scores, and larger baseline hematoma volume in CT image, with significant differences ( P<0.05). Multivariate Logistic regression analysis showed that baseline hematoma volume ( OR=1.015, 95%CI: 1.000-1.030, P=0.046), GCS scores ( OR=0.914, 95%CI: 0.839-0.995, P=0.039), time from sICH onset to first CT ( OR=0.855, 95%CI: 0.741-0.987, P=0.032), and diabetes ( OR=0.522, 95%CI: 0.311-0.875, P=0.014) were independent risk factors for HE. By using LASSO regression and 10-fold cross-validation method, 20 optimal radiomics features were finally selected. The area under ROC curve of clinical model, R-score model, and clinical-radiomics combined model were 0.650, 0.860, and 0.870, respectively. The calibration curve showed that the prediction accuracy of clinical-radiomics combined model in early HE had good consistency with the actual occurrence probability. Conclusion:The clinical-radiomics combined model could effectively predict early HE with good calibration, which is helpful in individualized clinical assessment of risk of early HE in SICH patients.

Hepatocellular carcinoma (HCC) is a highly heterogeneous kind of malignant tumor with a high recurrence rate and low five-year survival rate, which has become one of the major public health issues in China. Currently, HCC is the only solid tumor that can be solely diagnosed based on epidemiological history and typical imaging features without preoperative pathological confirmation. The paradigm for HCC imaging diagnosis has shifted in recent years from anatomy to function, from macroscopic to microscopic, and from diagnosis to prediction in the context of precision medicine, making it possible to study the microscopic processes such as HCC genes and their metabolic laws from the perspective of qualitative and quantitative imaging, thereby providing more accurate biological and imaging information for elucidating the occurrence, development, and clinical treatment decisions of HCC.This paper reviews the research progress of HCC imaging in recent years, demonstrating the rapid horizontal development and enormous potential of imaging in the vertical follow-up of HCC precision diagnosis and treatment. Simultaneously, it also puts forward the shortcomings of current HCC imaging research and looks forward to future development directions in order to be more accurately used in clinical decision support systems.

Glucose transporter 1(GLUT1)overexpression in tumor cells is a potential target for drug therapy,but few studies have reported screening GLUT1 inhibitors from natural or synthetic compounds.With cur-rent analysis techniques,it is difficult to accurately monitor the GLUT1 inhibitory effect of drug molecules in real-time.We developed a cell membrane-based glucose sensor(CMGS)that integrated a hydrogel electrode with tumor cell membranes to monitor GLUT1 transmembrane transport and screen for GLUT1 inhibitors in traditional Chinese medicines(TCMs).CMGS is compatible with cell membranes of various origins,including different types of tumors and cell lines with GLUT1 expression knocked down by small interfering RNA or small molecules.Based on CMGS continuous monitoring technique,we inves-tigated the glucose transport kinetics of cell membranes with varying levels of GLUT1 expression.We used CMGS to determine the GLUT1-inhibitory effects of drug monomers with similar structures from Scutellaria baicalensis and catechins families.Results were consistent with those of the cellular glucose uptake test and molecular-docking simulation.CMGS could accurately screen drug molecules in TCMs that inhibit GLUT1,providing a new strategy for studying transmembrane protein-receptor interactions.

This study aimed to identify subtypes of genomic variants associated with the efficacy of immune checkpoint inhibitors (ICIs) by conducting systematic literature search in electronic databases up to May 31, 2021. The main outcomes including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and durable clinical benefit (DCB) were correlated with tumor genomic features. A total of 1546 lung cancer patients with available genomic variation data were included from 14 studies. The Kirsten rat sarcoma viral oncogene homolog G12C (KRASG12C) mutation combined with tumor protein P53 (TP53) mutation revealed the promising efficacy of ICI therapy in these patients. Furthermore, patients with epidermal growth factor receptor (EGFR) classical activating mutations (including EGFRL858R and EGFRΔ19) exhibited worse outcomes to ICIs in OS (adjusted hazard ratio (HR), 1.40; 95％ confidence interval (CI), 1.01?1.95; P=0.0411) and PFS (adjusted HR, 1.98; 95％ CI, 1.49?2.63; P<0.0001), while classical activating mutations with EGFRT790M showed no difference compared to classical activating mutations without EGFRT790M in OS (adjusted HR, 0.96; 95％ CI, 0.48?1.94; P=0.9157) or PFS (adjusted HR, 0.72; 95％ CI, 0.39?1.35; P=0.3050). Of note, for patients harboring the Usher syndrome type-2A (USH2A) missense mutation, correspondingly better outcomes were observed in OS (adjusted HR, 0.52; 95％ CI, 0.32?0.82; P=0.0077), PFS (adjusted HR, 0.51; 95％ CI, 0.38?0.69; P<0.0001), DCB (adjusted odds ratio (OR), 4.74; 95％ CI, 2.75?8.17; P<0.0001), and ORR (adjusted OR, 3.45; 95％ CI, 1.88?6.33; P<0.0001). Our findings indicated that, USH2A missense mutations and the KRASG12C mutation combined with TP53 mutation were associated with better efficacy and survival outcomes, but EGFR classical mutations irrespective of combination with EGFRT790M showed the opposite role in the ICI therapy among lung cancer patients. Our findings might guide the selection of precise targets for effective immunotherapy in the clinic.

Conducting polymers have stable long-chain structure and good electrical conductivity. They have been used in various types of biosensors because of their excellent characteristics of the immobilization and electrical signal transmission. In recent years, researchers mainly study on improving its micro-nano structures and its signal conductivity to enhance its effect on the enzyme immobilization and signal conductive properties. This paper reviews firstly the application of conducting polymer on enzyme-immobilized glucose biosensor and the new technologies and methods in this field. This paper also points out the future application of conducting polymers in enzyme immobilization and biosensor preparation areas.
Biosensing Techniques ; methods ; trends ; Blood Glucose ; metabolism ; Electric Conductivity ; Enzymes, Immobilized ; Glucose Oxidase ; metabolism ; Nanostructures ; Polymers ; chemistry