Objective To determinate whether the first post-operative day serum parathyroid hormone (PTH) is more effective than serum calcium in predicting hypocalcemia after total thyroidectomy.Methods According to PTH level on the first post-operative day,104 patients after total thyroidectomy were divided into different groups.Patient's serum calcium was measured,the number of patients who developed hypocalcemia and the time for calcium supplement were recored.Results Serum PTH was more accurate in predicting hypocalcemia than serum calcium.There were 26 patients whose PTH value was ＜ 5 pg/ml,among whom 7 patients had transient hypocalcemia and symptoms,while 5 of them developed hypocalcemia for long time and needed long-term calcium supplement.The positive predictive value of group PTH value ＜ 5 pg/ml was 28％,and the accurate rate was 46％,higher than other groups.Besides,the positive predictive value and the accurate rate of PTH value ＜ 5 pg/ml was higher than serum calcium.Conclusion Serum PTH is more effective in determining hypocalcemia after total thyroidectomy than serum calcium,and PTH value ＜ 5 pg/ml on the first post-operative day is a reliable marker in predicting hypocalcemia after total thyroidectomy.

Objective To explore the clinical significance and gene mutation profiles of renal transplant patients with unconjugated hyperbilirubinemia (Gilbert's syndrome).Methods Genomic DNA was extracted from peripheral blood samples of 8 renal transplant patients with Gilbert'S syndrome.UGT1A1 * 6 and UGT1A1 * 28 genotypes were identified through digital fluorescence molecular hybridization and DNA sequencing.Results There are 2 cases of UGT1A1 * 28 heterozygous mutant,3 cases of UGT1A1 * 6 homozygous mutant,2 case of UGT1A1 * 6 heterozygous mutant,1 case of UGT1A1 * 28 heterozygous mutant combined with UGT1A1 * 6 heterozygous mutant.Conclusion There is a higher heterozygous or homozygous gene mutation rate of UGT1A1 * 6 and UGT1A1 * 28 in renal transplant patients with Gilbert's syndrome.Genetic mutation of UGT1A1 * 6 and UGT1A1 * 28 may be the reason of Gilbert's syndrome after renal transplant.

Objective To investigate and summarize the MRI characteristics of splenic sclerosing angiomatoid nodular transformation (SANT).Methods A retrospective analysis of 5 SANT cases were analyzed,in terms of their MRI characteristics and pathological findings.Results MRI findings of SANT included:T1WI presents iso-signal or slightly low signal,all displayed lesions were detected as low signal compared with spleen,but higher than muscle signal on T2 WI,and with speck dots or starlike low signal in the central area,without necrosis and cystic change.The signal was significantly differentiated compared with the spleen on DWI.On chemical shift imaging,2 cases were showed slightly higher signal on out phase,the others without signal change.On enhanced scan,4 cases had edge obvious enhancement on arterial phase,inward filling enhancement,and the signal was higher than the spleen,1 case without arterial phase enhancement,but with mild concentric delayed enhancement.All of the speck dots and starlike areas decreased with time delay,with certain degree enhancement on delayed phase.Conclusions There were some MRI features of SANT,preoperative MRI can prompt diagnosis,but final diagnosis depends on pathology.

Objective : To investigate a cluster of coronavirus disease 2019 (COVID-19) in Pingyang County,and to put forward targeted prevention and control suggestions. Methods: According to the Prevention and Control Plan of COVID-19 (Third Edition),we carried out epidemiological investigation to collect the information of demographic features,diagnosis and treatment,clinical manifestations,laboratory examination,exposure history and close contact. We analyzed the mode and frequency of exposure,so as to figure out the route of transmission. Results: This epidemic resulted in 6 confirmed cases of COVID-19 and 3 asymptomatic cases,with an attack rate of 6.52% (9/138). The median age of the cases was 48 years old. The confirmed cases mainly had imaging features of pneumonia, fever and cough. Their incubation period ranged from 4 to 9 days,and the median was 6 days. The first case,Wang,returned for the funeral of her grandmother from Wuhan with his husband and son on January 18 and lived with her mother. She had cough on January 19,and went to see her grandmother during January 19 to 23. She had contact with 6 cases,and the other 2 cases were Wang's mother and husband,who lived with Wang. All the cases except Wang had no COVID-19 related symptoms before the funeral,no contact history of COVID-19 cases or no other common exposure history except during the funeral. Therefore,Wang was determined as the source of the epidemic,staying in the same room and eating at the same table with her were risk factors for the infection of COVID-19 in this epidemic (P<0.05). Conclusions This was a local clustering epidemic caused by COVID-19 imported cases from Wuhan. It spread mainly by close contacts like staying in the same room and eating at the same table.

Objective To discuss how to identify the nerve and prevent the injury of the nonrecurrent laryngeal nerve during thyroid surgery. Methods The clinical data of 3078 patients undergoing thyroid resection were retrospectively analyzed. Results From January 1981 to December 2001,3078 thyroidectomy was performed at our department with the routine exploration of the recurrent laryngeal nerve.4241 recurrent laryngeal nerves were identified,among them there were 12 nonrecurrent laryngeal nerves(0.28%,12/4241),ofwhich all were right-sided.One patient was male and 11 female.Of these 12 cases,there were 2 of type Ⅰ(16.67%,2/12),6 of type Ⅱ(50%,6/12)and 4 of type Ⅲ (33.33%,4/12).One ofthe type Ⅰ patients suffered from intraoperative injury of his nonreurrent laryngeal nerve.Conclusions The careful intraoperative identification of the nonrecurrent laryngeal nerve helps prevent it from the inadvertent injury.

Objective:To investigate the clinical value of radiomics based on computed tomography (CT) examination in preoperative differential diagnosis of pancreatic serous cystadenoma (SCA) and mucinous cystadenoma (MCA).Methods:The retrospective case-control study was conducted. The clinicopathological and imaging data of 154 patients with pancreatic cystic neoplasms who were admitted to the First Affiliated Hospital, Zhejiang University School of Medicine from January 2012 to December 2019 were collected. There were 24 males and 130 females, aged (50±13)years. Of the 154 patients, 99 cases were diagnosed as SCA and 55 cases were diagnosed as MCA. All the 154 patients underwent plain and enhanced CT scan of pancreas before operation. The clinical characteristics, radiology features and radiomics features of all patients were collected to construct the clinical characteristics model, radiology model, radiomics model and fused model. The receiver operating characteristic (ROC) curve of each model was drawn, and those constructed models were evaluated by area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value and negative predictive value. Based on the optimal model, the nomogram was constructed. Observation indicators: (1) establishment and validation of clinical characteristics model; (2) establishment and validation of radiology model; (3) establishment and validation of radiomics model; (4) establishment and validation of fused model; (5) nomogram of fused model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Results:(1) Establishment and validation of clinical characteristics model: 3 clinical characteristics, including age, symptoms and preoperative serum CA19-9, were selected using multinomial logistic linear regression analysis to construct the clinical characteristics model. Result of the multinomial logistic linear regression analysis was expressed by formula ①: clinical characteristics model score=0.635-0.007×age+0.054×clinical symptoms+0.108×preoperative serum CA19-9. The ROC curve for the test dataset of clinical characteristics model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of clinical characteristics model were 0.611(95% confidence interval as 0.488?0.734, P<0.05), 56.6%, 66.7%, 56.3%, 41.5%, 78.4% for the training dataset and 0.771(95% confidence interval as 0.624?0.919, P<0.05), 77.8%, 63.1%, 88.5%, 80.1%, 76.7% for the test dataset, respectively. (2) Establishment and validation of radiology model: 5 radiology characteristics, including tumor location, the number of tumors, tumor diameter of cross section, lobulated tumor and polycystic tumor (more than 6), were selected using multinomial logistic linear regression analysis to construct the radiology model. Result of the multinomial logistic linear regression analysis was expressed by formula ②: radiology model score=?0.034+0.300×tumor location+0.202×the number of tumors+0.014×tumor diameter of cross section?0.251×lobulated tumor?0.170×polycystic tumor (more than 6). The ROC curve for the test dataset of radiology model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of radiology model were 0.862(95% confidence interval as 0.791?0.932, P<0.05), 78.8%, 81.8%, 77.5%, 62.8%, 90.2% for the training dataset and 0.853(95% confidence interval as 0.713?0.994), P<0.05), 88.9%, 89.4%, 88.5%, 85.0%, 92.0% for the test dataset, respectively. (3) Establishment and validation of radiomics model: 4 categories of a total 1 067 radiomics features were extracted from 154 patients with pancreatic cystic neoplasms, including 7 first-order histogram features, 53 texture features, 848 wavelet features and 159 local binary pattern features. A total of 896 stable radiomics features were retained to construct the model, based on the condition of intraclass correlation coefficient >0.9. After selected by variance threshold and correlation coefficient threshold, 350 radiomics features were retained. Fifty synthetic radiomics features were constructed based on the original features in order to obtain potential radiomics features, and the total number of radiomics features was 400. After analyzed by the five-fold recursive feature elimination, 22 radiomics features were screened out, including 13 wavelet features, 7 synthetic radiomics features and 2 local binary pattern features. The support vector machine algorithm was used to construct the radiomics model. The penalty coefficient 'C' and parameter 'γ' of the radiomics model were 35.938 and 0.077, respectively. The kernel function of the radiomics model was 'radial basis function kernel'. The ROC curve of radiomics model using 5-fold cross validation was drawn. The average AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of the radiomics model were 0.870 ( P<0.05), 83.1%, 81.8%, 83.8%, 73.8% and 89.2%, respectively. (4) Establishment and validation of fused model: the fused model was constructed after selecting the tumor location and lobulated tumor of radiology characteristics and radiomics score. Result of the multinomial logistic linear regression analysis was expressed by formula ③: fused model socre=?0.154+0.218×tumor location?0.223×lobulated tumor+0.621×radiomics score. The ROC curve for the test dataset of fused model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of fused model were 0.893(95% confidence interval as 0.828?0.958, P<0.05), 83.7%, 81.8%, 84.5%, 71.1%, 90.9% for the training dataset and 0.966(95% confidence interval as 0.921?0.999, P<0.05), 91.1%, 84.2%, 96.2%, 94.1%, 89.3% for the test dataset, respectively. (5) Nomogram of fused model: the nomogram of fused model was illustrated with the Youden index of 0.416. Conclusion:The prediction model based on the radiomics signature and radiological features extracted from preoperative CT examination can make the differential diagnosis of pancreatic SCA from MCA.

Computational fluid dynamics (CFD) is an emerging technology applied in the field of cardiovascular medicine, which can obtain hemodynamic data by simulating the blood flow in the patient′s heart for cardiac function assessment and disease diagnosis. Left ventricular function plays a key role in the occurrence and development of cardiomyopathies and coronary disease. CFD can reconstruct the left ventricular anatomic structures of patients to clarify pathophysiologic mechanisms and analyze hemodynamic parameters to evaluate left ventricular function, verify surgical efficacy, and guide surgical strategy, which has a positive effect on achieving early diagnosis and reducing mortality from cardiomyopathies and coronary disease. At present, there are still technical limitations in the large-scale clinical application of CFD, and various solutions are being developed and tested, and further improvement and refinement are needed.

Computational fluid dynamics (CFD) is an emerging technology applied in the field of cardiovascular medicine, which can obtain hemodynamic data by simulating the blood flow in the patient′s heart for cardiac function assessment and disease diagnosis. Left ventricular function plays a key role in the occurrence and development of cardiomyopathies and coronary disease. CFD can reconstruct the left ventricular anatomic structures of patients to clarify pathophysiologic mechanisms and analyze hemodynamic parameters to evaluate left ventricular function, verify surgical efficacy, and guide surgical strategy, which has a positive effect on achieving early diagnosis and reducing mortality from cardiomyopathies and coronary disease. At present, there are still technical limitations in the large-scale clinical application of CFD, and various solutions are being developed and tested, and further improvement and refinement are needed.

Objective To evaluate the economic value of fluticasone furoate/umeclidinium/vilanterol(FF/UMEC/VI)powder for inhalation in the treatment of symptomatic chronic obstructive pulmonary disease patients with acute exacerbation risk from the perspective of the Chinese health system.Methods Based on subgroup analysis of the China cohort in the IMPACT trial,a four-state lifetime Markov model was established with a 3-month cycle.The model simulation period was 11 years.Clinical efficacy,health benefits,and cost data were obtained through published literature.The health outcomes included quality adjusted life year(QALY).Using 3 times Chinas per capita gross domestic product(GDP)in 2023 as the willingness-to-pay threshold,the cost-utility analysis method was used for analysis the economic viability of FF/UMEC/VI.The scenario analysis,one-way sensitivity analysis and probability sensitivity analysis were used to verify the robustness of the results.Results Compared with fluticasone furoate/vilanterol(FF/VI),FF/UMEC/VI in the treatment of symptomatic chronic obstructive pulmonary disease patients with acute exacerbation risk saved costs 8 118.66 yuan and obtained an additional 0.000 06 QALYs,giving it an economic advantage.Compared with umeclidinium/vilanterol(UMEC/VI),FF/UMEC/VI treatment paid 2 784.41 yuan more and received 0.000 45 QALYs less,making UMEC/VI more cost-utility.The scenario analysis results further confirmed the robustness of the model.The sensitivity analysis results showed that when the drug cost of FF/UMEC/VI per cycle decreases to 637.29 yuan,FF/UMEC/VI had economic benefits under a willingness-to-pay threshold of 3 times China's per capita GDP in 2023.Conclusion For patients with symptomatic chronic obstructive pulmonary disease at risk of acute exacerbation,FF/UMEC/VI is more cost-utility than FF/VI.Compared with UMEC/VI,FF/UMEC/VI has economic viability after price reducing.

Objective To summarize the radiological features of follicular dendritic cell tumor of spleen (FDCS).Methods The clinical, radiological and pathological data of 8 patients from November 2011 to November 2017 in 5 hospitals with FDCS confirmed by pathology were retrospectively analyzed. All patients underwent CT examinations including plan and enhanced CT. Three patients underwent additional MRI and two patients underwent PET‐CT examinations simultaneously. The imaging features such as location, number, shape, boundary, size, internal structure, density (or signal, 18F‐fluorodeoxyglucose uptake), enhancement model and the relationship with surrounding structures were observed and compared with pathological results. Results Of the 8 patients with FDCS, 7 were located in the spleen and 1 was located in the spleen of the ectopic spleen of the pancreas. Seven patients with splenic FDCS underwent splenectomy and 1 patient with pancreatic ectopic spleen FDCS underwent resection of the pancreas. Multiple lesions were detected in 1 case, while single in the others. Tumor was round or oval. The tumors were well‐circumscribed and presented as expansive growth. On unenhanced CT, the tumors showed a slightly lower density, and hemorrhage and necrosis could be detected in 6 lesions. Calcification was seen in 1 case, significant necrosis, and cystic change was presented in the pancreatic ectopic spleen FDCS. The solid part presented isointensity or slightly hypointensity on T1WI, and hyperointensity on T2WI. Cystic necrosis areas were hypointensitive on T1WI, and hyperointensitive on T2WI. Spoke‐like areas with hypointensity on T1WI and hyperointensity on T2WI were detected in the center of the solid part with the distribution among the substantial degenerative and necrotic regions. PET‐CT showed that the 18F‐fluorodeoxyglucose was uptaked obviously. The enhancement CT showed that at the arterial phase, the tumors were markedly enhanced and continuously enhanced at portal vein phase and balance phase. Multiple liver metastases were detected in 1 case with huge FDCS. One patient was followed up for 6 years, and gastric lymphoma was detected. The others were followed up for 6 to 53 months, there remained no transfer or recurrence.Conclusions The features of FDCS of spleen mainly manifest as solid or cystic mass with clear solitary sphenoma accompanied by scarring, calcification and hemorrhage. The enhancement mode is persistent enhancement. MRI and PET‐CT help to further reflect the tumor pathological basis and biological characteristics.