To explore how the joint-teaching mode of tomographic-radiologic anatomy and topographic anatomy in a way of case-based learning (CBL) promotes the education of medical students.

177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

Objective:To explore the value of the imaging nomogram model based on preoperative CT features of patients with small intestinal stromal tumor (SIST) in predicting pathological risk classification.Methods:This was a cohort study. The patients who were diagnosed as primary SIST by postoperative pathology in Cancer Hospital, Chinese Academy of Medical Sciences from January 2014 to October 2023 were retrospectively included. According to the modified 2008 National Institutes of Health classification criteria, the patients were divided into a pathological intermediate/high-risk group (86 cases) and a very low/low-risk group (56 cases). The features of preoperative enhanced CT images of SIST were analyzed, including tumor boundary, necrosis, intra-tumoral hemorrhage, intra-tumoral calcification, growth pattern, enhancement pattern, enhancement degree, enlarged vessels feeding or draining the mass (EVFDM), and tumor location. Patients were followed up to determine the recurrence-free survival (RFS). Univariate and multivariate logistic regression were used to screen the independent predictors of SIST with pathological medium/high-risk group. The independent predictors were combined to construct an imaging prediction model, and a nomogram was drawn. The receiver operating characteristic curve was used to evaluate the predictive efficacy of the model. The Kaplan-Meier method was used to draw the survival curve, and the log-rank test was used to compare the differences in RFS.Results:Univariate logistic regression results showed that tumor shape, necrosis, intra-tumoral hemorrhage, EVFDM, and tumor location were potentially related to medium/high-risk SIST. Multivariate logistic regression results showed that tumor shape ( OR=3.92, 95% CI 1.58-9.71, P=0.003), necrosis ( OR=4.60, 95% CI 1.91-11.09, P<0.001), and EVFDM ( OR=6.25,95% CI 1.74-22.47, P=0.005) were independent predictors of pathological intermediate/high-risk SIST. The area under the curve of the imaging predictive model combining the three predictors to predict the intermediate/high-risk SIST was 0.835 (95% CI 0.769-0.901), the sensitivity was 0.810, the specificity was 0.839, and the accuracy was 0.789. Taking the cut-off value (0.810) as the boundary value, the patients were divided into the high-risk group (74 cases) and the low-risk group (68 cases) according to the prediction results. The median RFS of the predicted high-risk group was poorer than that of the predicted low-risk group, and the difference was statistically significant ( χ2=5.20, P=0.023). Conclusions:The imaging nomogram model based on preoperative CT image features shape, necrosis, and EVFDM can effectively predict the pathological intermediate/high-risk SIST before surgery and has important predictive value for postoperative recurrence.

Objective:To compare the predictive values of response evaluation criteria in lymphoma (RECIL)2017 and Lugano classification for the prognosis of patients with diffuse large B-cell lymphoma(DLBCL) at the end of treatment.Methods:A total of 107 patients (50 males, 57 females, age (49.3±17.4) years) with DLBCL who underwent PET/CT at the end of chemotherapy in the Fourth Hospital of Hebei Medical University between February 2014 and December 2021 were analyzed retrospectively. The RECIL2017 and Lugano classification were used to evaluate the response. Kaplan-Meier survival analysis was used to evaluate progression-free survival (PFS) and overall survival (OS). The Kappa test was used to evaluate the consistency of the two criteria after chemotherapy, and ROC curve (Delong test)was used to compare the predictive values of the two criteria for PFS and OS. Results:The median follow-up time was 47.5(33.4, 57.5) months. Kaplan-Meier analysis showed that the 5-year PFS rates (74.5%(35/47), 71.4%(15/21), 57.1%(12/21), 4/18; χ2=38.85, P<0.001) and OS rates (89.4%(42/47), 81.0%(17/21), 61.9%(13/21), 7/18; χ2=29.52, P<0.001) in complete metabolic response (CMR), partial metabolic response (PMR), no metabolic response (NMR) and progressive metabolic disease (PMD) groups evaluated by Lugano classification were statistically different, as well as those in complete response (CR), partial response (PR), minor response (MR), stable disease (SD) and progressive disease (PD) groups evaluated by the RECIL2017 (5-year PFS rates: 76.9%(40/52), 8/12, 6/11, 6/12, 30.0%(6/20), χ2=29.05, P<0.001; 5-year OS rates: 90.4%(47/52), 8/12, 6/11, 9/12, 45.0%(9/20), χ2=23.63, P<0.001). The RECIL2017 and Lugano classification had good consistency in the efficacy evaluation of DLBCL patients at the end of chemotherapy (70.1%(75/107); Kappa=0.57, P<0.001). The AUCs of Lugano classification for predicting PFS and OS were 0.730 (95% CI: 0.625-0.834, P<0.001) and 0.908 (95% CI: 0.845-0.970, P<0.001) respectively, and those of RECIL2017 were 0.717 (95% CI: 0.612-0.822, P<0.001) and 0.880 (95% CI: 0.812-0.949, P<0.001). The AUCs of the Lugano classification for PFS and OS were slightly higher than those of RECIL2017, without significant differences ( z values: 0.44, 1.09, both P>0.05) . Conclusion:Both RECIL2017 and Lugano classification can evaluate the prognosis of patients with DLBCL at the end of treatment, and Lugano classification is more accurate.

68Ga-DOTATATE/18F-FDG two-day low-dose total-body PET/CT imaging is increasingly employed to facilitate the diagnosis,prognosis,and heterogeneity assessment of neuroendocrine neoplasms.We present a consensus on operational guideline for a two-day combined imaging from experts in low-dose/ultra-low-dose total-body PET/CT from several domestic medical institutions.

Objective:To investigate correlation between neutrophil lymphocyte ratio(NLR),IL-6 and lymphocyte subsets and prognosis of viral pneumonia complicated with acute respiratory distress syndrome(ARDS).Methods:A total of 98 patients with viral pneumonia complicated with ARDS admitted to Xinxiang Central Hospital/the Fourth Clinical College from May 2017 to June 2019 were selected,NLR,IL-6 and lymphocyte subsets expressions in patients with different severity were analyzed.Correlation between NLR,IL-6 and lymphocyte subsets levels in prognosis of viral pneumonia complicated with ARDS was analyzed by Pearson correlation.Logistc regression was used to analyze prognostic risk factors of viral pneumonia complicated with ARDS.Results:With aggravation of viral pneumonia complicated with ARDS,NLR and IL-6 levels were significantly increased(P<0.05),while CD3+T,CD4+T and CD19+T cells levels were significantly decreased(P<0.05).Pearson correlation analysis results showed that NLR and IL-6 were positively correlated with prognosis of viral pneumonia complicated with ARDS(P<0.05),while CD3+T,CD4+T,CD19+T and CD8+T cells were negatively correlated with prognosis of ARDS with viral pneumonia(P<0.05).Multivariate Logistic analysis showed that NLR,IL-6,CD3+T and CD19+T cells were risk factors for viral pneumonia complicated with ARDS(P<0.05).Conclusion:Serum NLR,IL-6,CD3+T and CD19+T cells are closely related to severity and prognosis of patients with viral pneumonia complicated with ARDS.

Fibroblast activation protein inhibitors(FAPI)can specifically bind to fibroblast activation protein,which is highly expressed in tumor stroma,and 68Ga-FAPI do not get involved into the procedure of glucose metabolism in tumor cells.68Ga-FAPI PET/CT and PET/MR can be used for displaying malignant tumors at various sites and play a unique role for diagnosis and differential diagnosis.The research progresses of 68 Ga-FAPI-based PET/CT and PET/MR for diagnosing malignant tumors were reviewed in this article.

Objective:To investigate the value of pre-therapy 18F-FDG PET/CT radiomic models in differentiating epidermal growth factor receptor (EGFR) exon 19 deletion from exon 21 L858R missense in patients with non-small cell lung cancer (NSCLC). Methods:A total of 172 patients with EGFR mutant NSCLC (54 males, 118 females, age: (56.2±12.5) years) in the Fourth Hospital of Hebei Medical University between January 2015 and November 2019 were retrospectively included. Exon 19 mutation was found in 75 patients and exon 21 mutation was identified in 97 patients. The patients were divided into training set ( n=121) and validation set ( n=51) in a 7∶3 ratio by using random number table. The LIFEx 4.00 package was used to extract texture features of PET/CT images of lesions. The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature screening. Three machine learning models, namely logistic regression (LR), random forest (RF), and support vector machine (SVM) models, were constructed based on the selected optimal feature subsets. The ROC curve analysis was performed to assess the predictive performance of those models. Finally, decision curve analysis (DCA) was used to evaluate the clinical value of the models. Results:Nine radiomics features, including 6 PET features (histogram (HISTO)_Kurtosis, SHAPE_Sphericity, gray level run length matrix (GLRLM)_ low gray-level run emphasis (LGRE), GLRLM_ run length non-uniformity (RLNU), neighborhood grey level different matrix (NGLDM)_Contrast, gray level zone length matrix (GLZLM)_ short-zone low gray-level emphasis (SZLGE)), and 3 CT features (gray level co-occurrence matrix (GLCM)_Correlation, GLRLM_ run percentage (RP), NGLDM_Contrast), were screened by LASSO algorithm. Three machine learning models had similar predictive performance in the training and validation sets: AUCs for the RF model were 0.79, 0.77, and those for the SVM model were 0.76, 0.75, for the LR model were 0.77, 0.75. The DCA showed that the 3 machine learning models had good net benefits and clinical values in predicting EGFR mutation subtypes.Conclusion:18F-FDG PET/CT radiomics provide a non-invasive method for the identification of EGFR exon 19 deletion and exon 21 L858R missense mutations in patients with NSCLC, which may help the clinical decision-making and the formulation of individualized treatment plan.

Objective:To investigate predictive value of model based on pre-surgical 18F-FDG PET/CT metabolic parameters for mediastinal lymph node metastasis (LNM) in lung adenocarcinoma. Methods:A total of 288 patients with lung adenocarcinoma (135 males, 153 females, age (61.6±8.5) years) who diagnosed and treated in the Fourth Hospital of Hebei Medical University from January 2016 to February 2021 were enrolled retrospectively. All patients underwent 18F-FDG PET/CT examination within 1 month before operation, and underwent complete resection of primary lung tumor and standard lymph node dissection. PET/CT parameters were extracted (PET metabolic parameters: minimum SUV(SUV min), SUV max, SUV mean, SUV standard deviation (SUV std), metabolic tumor volume (MTV) and total lesion glycolysis (TLG); CT parameters: minimum CT value (HU min), maximum CT value (HU max), mean CT value (HU mean), CT value standard deviation (HU std)). Multivariate logistic regression analysis was used for screening parameters and establishing model to predict LNM. ROC curves analyses were used to evaluate the predictive performance of models. Results:Among 288 patients, 90 had LNM, and 361 metastatic lymph nodes (N1: 186, N2: 175) were reported by pathology. SUV min (odds ratio ( OR)=1.859, 95% CI: 1.074-3.220, P=0.027), SUV max ( OR=2.255, 95% CI: 1.306-3.893, P=0.004), SUV mean ( OR=0.277, 95% CI: 0.115-0.665, P=0.004) were predictors of LNM. The AUC of PET/CT model was 0.849 (95% CI: 0.804-0.893), and the sensitivity, specificity, accuracy, and positive and negative predictive values were 87.8%(79/90), 72.2%(143/198), 77.1%(222/288), 59.0%(79/134) and 92.9%(143/154), respectively. Conclusion:The model based on 18F-FDG PET/CT metabolic parameters can improve the accuracy of pre-surgical N-staging in patients with lung adenocarcinoma.

Production internship is an important teaching tache for undergraduate students to carry out engineering training by using professional skills, and it is a key starting point for fostering application-oriented talents in biotechnology. The Course Group of 'production internship of biotechnology majors' of Binzhou University is investigating application-oriented transformation for local regular colleges and universities, as well as fostering high-level application-oriented talents. By taking green fluorescent protein (GFP) polyclonal antibody as an example, the reform and practice on teaching content, teaching mode, assessment method, continuous improvement of curriculum were carried out. Moreover, the characteristics of the Yellow River Delta-Binzhou Biotechnology & Pharmaceutical Industrial Cluster were taken into account to intensify academic-enterprise cooperation. On one hand, this Course Group designed and rearranged the course contents, carried out essential training through online resources and platforms such as virtual simulation, and recorded, tracked and monitored the progress of production internship through practical testing and software platforms like 'Alumni State'. On the other hand, this Course Group established a practice-and application-oriented assessment method in the process of production internship and a dual evaluation model for continuous improvement. These reform and practices have promoted the training of application-oriented talents in biotechnology, and may serve as a reference for similar courses.
Humans ; Internship and Residency ; Curriculum ; Students ; Biotechnology