Objective:To investigate the value of multi-parametric analysis based on dual-layer detector spectral CT (DLCT) in predicting the initial recurrence risk for papillary thyroid carcinoma (PTC).Methods:From November 2021 to October 2022, 102 PTC patients confirmed by pathology were retrospectively collected at the First Affiliated Hospital of Nanjing Medical University in this cross-sectional study. There were 25 males and 77 females, with an age of (42±13) years old. The initial recurrence risk assessment for PTC patients was categorized into a low-risk group (75 cases) and an intermediate-high-risk group (27 cases). Clinical data, including age, gender, body mass index, history of nodular goiter, history of Hashimoto thyroiditis, and preoperative thyroid function, were collected. Tumor morphological features, including size, location, shape, aspect ratio, the degree of thyroid capsule contact, calcification, and cystic change, were evaluated. Quantitative DLCT parameters, including iodine concentration (IC), standardized iodine concentration (NIC), effective atomic number (Z eff), standardized effective atomic number (NZ eff), electronic density (ED), CT values under different energy levels (40-200 keV, 30 keV intervals) and slope of energy spectrum curve (λ HU) both in the arterial and venous phase were measured. The differences in clinical, morphological features, and spectral CT quantitative parameters between the two groups were compared using independent sample ttest, Mann-Whitney U test, or χ2 test. Multivariate logistic regression analyses were used to construct three models based on clinical and morphological features, quantitative DLCT parameters and their combination, respectively. The receiver operating characteristic curve was used to evaluate the predictive performance of these models for the initial recurrence risk of PTC patients, and the area under the curve (AUC) was compared using the DeLong test. Results:Significant differences were found in gender, lesion long diameter, lesion short diameter and calcification between the low-risk group and intermediate-high-risk groups ( P<0.05). The arterial phase IC, arterial phase Z eff, arterial phase λ HU, arterial phase CT 40 keV, venous phase NIC and venous phase NZ eff in intermediate-high-risk group were significantly lower than those in the low-risk group ( P<0.05). The logistic regression analysis revealed that the clinical model included gender ( OR=2.895, 95% CI 1.047-8.002, P=0.040) and lesion long diameter ( OR=1.142, 95% CI 1.042-1.251, P=0.004), with an AUC of 0.720, sensitivity of 63.0%, and specificity of 78.7% in predicting the initial recurrence risk of PTC patients. The DLCT quantitative parameter model included arterial phase IC ( OR=0.580, 95% CI 0.370-0.908, P=0.017), venous phase NIC ( OR=0.077, 95% CI 0.011-0.536, P=0.010), and venous phase NZ eff ( OR=0.002, 95% CI 0.001-0.103, P=0.009), with an AUC of 0.774, sensitivity of 71.9%, and specificity of 70.0%. The AUC of the combined model was 0.857, with a sensitivity of 74.1%, and specificity of 88.0%, outperforming the clinical model ( Z=2.92, P=0.004) and the DLCT quantitative parameter model ( Z=2.07, P=0.046). Conclusion:Multi-parametric analysis based on DLCT can help predict the initial recurrence risk for PTC, and combining it with clinical and morphological features, the predictive accuracy can be improved.

As China's manned space missions gradually develop towards long-term residence and deep space exploration,astronauts will face increasingly severe psychological challenges.As a psychological adjustment method involving multiple disciplines such as music,psychology,and medicine,music therapy has the advantages of being convenient to implement,cost-effective,and highly personalized.This paper integrates the concept of music therapy and explores the research progress of music therapy in regulating psychological states in aspects such as physiology,emotional regulation,cognitive ability,and interpersonal relationships.Combined with the mechanism of action of music therapy and the practical situation in the field of manned spaceflight,it aims at the future development trends and problems to be solved,to construct a music therapy system for astronauts during on-orbit flight and ground daily training.This will help astronauts achieve healthy physical and mental development and promote the completion of missions.

Objective: To compare the difference in somatic gene mutation of PTC subtypes between 114 patients with papillary thyroid carcinoma (PTC) and The Cancer Genome Atlas (TCGA) database. Methods: Totally 114 PTC patients admitted to The First Affiliated Hospital of Nanjing Medical University were recruited. The 18 hotspot genes associated with thyroid cancer were detected in thyroidectomy specimens were using next generation sequencing. PTC data were downloaded from the TCGA database in the cBioPortal website, and the difference in the somatic gene mutation was compared between 114 PTC patients and the TCGA database Results: The 114 PTC patients included 73 women (64.04%) and had a mean age of (39.23±13.18) years. The prevalence of BRAF V600E (66.67% vs. 48.68%), TERTp (3.51% vs. 0.41%), PDGFRA (1.75% vs. 0%), PTEN (3.51% vs. 0.41%) and TP53 gene mutations (4.39% vs. 0.61%) was significantly higher among the 114 PCT patients than in the TCGA database (P<0.05). The prevalence of BRAF V600E (80.88% vs. 54.99%), TP53 (7.35% vs. 0.57%) and TSHR gene mutations (2.94% vs. 0%) was significantly higher in classical PTC(CPTC) patients than in the TCGA database, and the prevalence of BRAF V600E (36.84% vs.13.86%) and TERTp gene mutations (10.53% vs. 0%) was significantly higher in follicular variant PTC (FVPTC) patients than in the TCGA database. According to the American Thyroid Association Risk Stratification of Thyroid Cancer Recurrence, the prevalence of BRAF V600E and TP53 gene mutations was 77.14% and 8.57% among moderate-risk CPTC patients, the prevalence of BRAF V600E gene mutation was 27.27% among low-risk FVPTC patients, and the prevalence of TERTp gene mutation was 33.33% among moderate-risk FVPTC patients, which were all higher than in the TCGA database (55.10%, 0%, 3.28%, and 0%, respectively; P<0.05). Conclusion There are significant differences in the type and rate of somatic gene mutations between 114 PTC patients and the TCGA database.

Objective:To explore the effects of pressure controlled ventilation-volume guaranteed (PCV-VG) mode on intraoperative pulmonary ventilation and postoperative pulmonary complications (PPC) in elderly patients undergoing thoracoscopic lobectomy.Methods:Sixty patients of American Society of Anesthesiologists (ASA) classification Ⅱor Ⅲ, aged 65-80 years old, with body mass index (BMI) 18-30 kg/m 2, received thoracoscopic lobectomy under general anesthesia from November 2021 to June 2022 in the Second Hospital of Shanxi Medical University were recruited. The patients were divided into PCV-VG and volume-controlled ventilation (VCV) groups using the randomized number table method, with 30 patients in each group. The ventilatory parameters of two-lung ventilation were set to respiratory rate (RR) at 10-12 breaths/min, with a tidal volume (VT) of 8 ml/kg (ideal body weight). The ventilatory parameters of one-lung ventilation (OLV) were set at 12-16 breaths/min, with a VT of 6 ml/kg (IBW). The peak airway pressure (Ppeak), plateau airway pressure (Pplat), driving pressure (ΔP), dynamic lung compliance (Cdyn), end-tidal carbon dioxide (ETCO 2), heart rate (HR), mean arterial pressure (MAP), partial pressure of oxygen (PaO 2) and partial pressure of carbon dioxide (PaCO 2) were obtained at 1 min before OLV (T 0), 30 min after OLV (T 1) and 60 min after OLV (T 2). The incidence and severity of PPC, chest tube duration time and postoperative hospital stay time were recorded. Results:The Ppeak, Pplat and ΔP were higher and Cdyn was lower in both groups at T 1-T 2 than at T 0 (all P<0.001). The Ppeak, Pplat and ΔP were higher and Cdyn was lower in PCV-VG group than in VCV group (all P<0.05). There were no statistical differences in HR, MAP, ETCO 2, PaO 2 and PaCO 2 between the two groups (all P > 0.05). There were no statistical differences in the incidence of PPC [43.3% (13/30) vs. 30.0% (9/30)] and chest tube duration time [(4.4±0.9) d vs. (4.2±1.2) d] between VCV group and PCV-VG group (all P>0.05). Compared with VCV group, the proportion of patients with ≥grade 2 PPC was lower in PCV-VG group [10.0% (3/30) vs. 36.7% (11/30), χ2=5.96, P<0.05]. The postoperative hospital stay time in PCV-VG group was shorter than that in VCV group [(6.4±1.3) d vs. (8.0±1.9) d, t = 4.85, P<0.05]. Conclusions:PCV-VG mode can effectively reduce the severity of PPC, shorten the postoperative hospital stay time and improve the prognosis in elderly patients undergoing thoracoscopic lobectomy.

Objective:To analyze the laboratory detection methods and clinical characteristics of patients with 2019-nCoV Omicron variant infection, to realize the rapid identification and diagnosis of 2019-nCoV Omicron variants.Methods:Totally 80 overseas patients in First Hospital of Changsha from December 16 in 2021 to January 5 in 2022 were selected, the nucleic acids and mutant genes were detected by fluorescent PCR and genome sequencing, and the clinical characteristics of patients with 2019-nCoV Omicron variant infection were analyzed.Results:The specificity was 100% (58/58) and positive predictive value was 100% (21/21) respectively, the sensitivity was 95.5% (21/22), negative predictive value was 98.3% (58/59) by detected with fluorescent PCR. It was found that there were 45-50 nucleotide displacement sites in the genome and 25-30 amino acid mutation sites in S gene fragment by genome sequencing. Clinical analysis showed that mild cases were 59.1% (13/22) in layouts, without severe and critical cases. Ages were positively associated with the clinical classification (ρ=0.698, P<0.001), foundation infections were positively associated with the clinical classification (ρ=0.636, P<0.001). Conclusions:Patients with 2019-nCoV Omicron variant infection had a high viral load and long negative conversion time of nucleic acid. Ages and foundation infections were positively associated with the clinical classification. AST/ALT was higher in the early stage of the disease. Fluorescent PCR method can be used in rapid screening patients with 2019-nCoV Omicron variant infection.

Characterized by chronic arthritis, juvenile idiopathic arthritis (JIA) refers to a group of rheumatic diseases in children with unknown causes and strong clinical heterogeneity.Most patients have good prognosis, while some may be involved with important extra-articular organs and tissues, including cardiac system damage, pulmonary or pleural lesions, renal amyloid degeneration, uveitis, and so on.Delay in diagnosis and treatment may lead to short-term and/or long-term involvement in vital systems, thus resulting in the aggravation of the disease or poor prognosis, which may decrease their life quality and even threaten their life.Understanding the extra-articular manifestations of JIA is very important to manage disease.

Objective:To explore the diagnostic value of radiomics based on arterial-venous mixed images derived from dual-energy CT (DECT) data in diagnosis of cervical lymph nodes (LNs) metastasis of papillary thyroid cancer (PTC).Methods:From June 2017 to December 2018, eighty-four patients with preoperatively DECT scanning and pathologically confirmed PTC (129 non-metastatic LNs and 97 metastatic LNs) in the First Affiliated Hospital of Nanjing Medical University were included in this study. The clinical and imaging data of all patients were retrospectively analyzed. The training cohort consisted of 62 PTC cases with 156 LNs (91 non-metastatic LNs and 65 metastatic LNs). An independent validation cohort consisted of 22 PTC patients with 70 LNs (38 non-metastatic LNs and 32 metastatic LNs). Semi-automatic LNs segmentation was conducted on arterial-venous mixed images derived from DECT using Syngo.via Frontier Radiomics software. Totally 1 226 radiomics features were extracted from arterial-venous mixed images for each LN. The least absolute shrinkage and selection operator (LASSO) regression was applied for radiomics features selection and signature building. The logistic regression modeling was used to construct diagnostic models based on the CT image features of LNs (model 1), the radiomics signature (model 2) and the combination of the CT image features and radiomics signature (model 3). An intuitive nomogram was plotted for model 3. The ROC curve analyses and area under the curve (AUC) were performed to evaluate the diagnostic efficiency of the three models, with the performances compared using the Delong test.Results:Model 1 was developed with LNs shape, degree of enhancement, pattern of enhancement, calcification and extra nodal extension. Three arterial phase radiomics features were selected and used to establish radiomics signature using LASSO regression (model 2). Model 3 was developed with LNs size, shape, degree of enhancement and radiomics signature. In both the training and validation cohort, model 3 showed the best diagnostic performance (AUC=0.965, 0.933), followed by model 2 (AUC=0.947, 0.910), and both these two models significantly outperformed model 1 (AUC=0.850, 0.846) (training cohort, Z=4.066 and 3.758, P both<0.001; validation cohort, Z=2.871 and 1.998, P=0.017 and 0.042) respectively. Conclusion:The radiomics model based on arterial-venous mixed images derived from DECT data can realize effective diagnosis of LNs metastasis in patients with PTC; and the combination model of radiomics signature with CT image features can further improve the diagnostic accuracy.

Objective:To explore the causes of misdiagnosis and missed diagnosis of fetal liver, hemangioma by prenatal ultrasound, aimed at improving the diagnostic rate of fetal liver hemangioma by prenatal ultrasound.Methods:Six cases of misdiagnosed fetal liver hemangioma in Hunan Province Maternal and Child Health Hospital between January 2016 and October 2018 were selected. In these cases, live births were tracked until they were 6-24 months old, while autopsy was carried out on induced fetuses. These failed cases were analyzed retrospectively, in terms of their scanning methods, ultrasonographic features and pregnancy outcomes.Results:Three cases were misdiagnosed by perinatal ultrasound: the time for the first discovery of masses in these cases was 37 + 3 weeks, 39 + 5 weeks and 37 + 4 weeks respectively. All of these tissues appeared as mixed echogenic masses and were misdiagnosed as hepatoblastoma. The other three cases were categorized as prenatal ultrasound missed diagnosis: in one case, prenatal ultrasound examination failed to detect the disease in question during the whole pregnancy, while ultrasound examination revealed lesions 2 days after birth; the other case didn′t see the detection of hepatic hemangioma was not detected until the 40th week of pregnancy by ultrasound in another case, as prenatal ultrasound at 31 + 6 weeks and 37 + 4 weeks showed nothing abnormal; yet prenatal ultrasound examination of the third case showed no findings in which at 26 + 6 weeks pregnant, but ultrasound performed at 33 weeks into gestation suspected slightly hypoechoic area in the liver, which was indicated hepatic hemangioma by MRI. Among the 6 cases, 2 of the induced fetuses were confirmed as hepatic capillary tumor by autopsy and pathological examination by with the consents of their family; four live births were confirmed to be hepatic hemangioma by contrast-enhanced CT scan and clinical follow-up observation. Conclusions:Multi-angle and multi-section scanning technique should be adopted in prenatal ultrasound examination of fetal liver. Mean while observations must also be made of any changes in the hepatic vein and any displacement of the peripheral organs of the liver, while ultrasonic images and color Doppler flow imaging features of the lesions are further analyzed. These actions lead to an improvement in the diagnostic accuracy of fetal liver hemangioma, which serves as a useful clinical guide to active and effective intervention measures.

OBJECTIVE: To investigate the effects of exendin-4 on hepatic lipid metabolism, fibrosis and oxidative stress in mice with streptozotocin (STZ)-induced diabetes and explore the underlying mechanisms. METHODS: C57BL/6J mice were fed with high-fat diet (HFD) for 4 weeks and received intraperitoneal injections of 120 mg/kg STZ to induce diabetes. After successful modeling, the mice were randomized into diabetic control group and exendin-4 treatment group (DM+E4), and in the latter group, the mice were given a daily dose of 1 nmol/kg of exendin-4 for 8 weeks. The changes in the body weight (BW) and random blood glucose (RBG) in the mice were recorded. The mRNA expressions of the genes related with liver lipid metabolism, fibrosis and oxidative stress were analyzed using RT-PCR, and the structural changes of the liver tissues were observed with HE, Sirius red and oil red O staining; the expressions of TGF-β1, Nrf2 and HO-1 proteins in the liver tissues were detected using Western blotting. RESULTS: The diabetic mice showed significantly higher RBG levels and BW with obvious lipid deposition, fibrosis and oxidative stress in the liver as compared with the normal control mice ( < 0.001). Exendin-4 treatment of the diabetic mice did not significantly lessened liver lipid deposition but obviously reduced the levels of RBG and TG ( < 0.05), lowered the expression levels of liver fibrosis-related genes TGF-β, -SMA and Col-Ⅰ ( < 0.05), increased the expression levels of the antioxidant genes Nrf2, HO-1 and GPX4 ( < 0.01), and enhanced the protein expressions of Nrf2 and HO-1 in the liver tissues ( < 0.01). CONCLUSIONS Exendin-4 improves liver fibrosis and oxidative stress in diabetic mice by activating Nrf2/HO-1 pathway without significantly reducing liver lipid deposition.
Animals ; Diabetes Mellitus, Experimental ; Exenatide ; Liver ; Liver Cirrhosis ; Mice ; Mice, Inbred C57BL ; NF-E2-Related Factor 2 ; Oxidative Stress ; Streptozocin

Objective To investigate the diagnostic value of pyruvate kinase M2 ( PKM2) gene expression in papillary thyroid carcinoma ( PTC). Methods Quantitative real-time PCR ( RT-qPCR) was used to detect the expression of PKM2 mRNA in benign thyroid nodules, PTC, and normal thyroid cells around nodules of fine-needle aspiration (FNA) specimens. Immunohistochemistry ( IHC) was used to detect the expression of PKM2 protein in thyroid tissue after thyroidectomy. The receiver operating characteristic curve was constructed to evaluate the diagnostic value of PKM2 in PTC. Results The expression of PKM2 mRNA was detectable in FNA specimens of thyroid nodules,higher in PTC than those in normal thyroid tissue and benign thyroid nodules (P<0.01). PKM2 expression level was correlated with diameter of PTC ( P<0.05) , but had no correlation with lymph node metastasis, BRAFV600E mutation, and American Joint Committe on Cancer( AJCC) stage ( P>0.05) . The expression level of PKM2 mRNA in FNA specimens of thyroid nodules was paralleled with the expression level of PKM2 protein in postoperation pathological tissues. The accuracy, sensitivity, specificity of PKM2 gene in the diagnosis of PTC were 62.8％, 46.9％, and 95.7％, respectively. The accuracy and sensitivity of PKM2 combined with BRAFV600E were increased to 87.6％and 83.7％. Conclusion Detection of PKM2 gene in FNA specimens is highly specific in the diagnosis of PTC, making it a valuable molecular marker for preoperative diagnosis. The combination of PKM2 and BRAFV600E detection shows a higher diagnosis efficiency.