Objective To observe the changes of plasma gastrointestinal hormones in motion sickness sensitive and insensitive individuals before and after vertical oscillation stimulation,and to construct a susceptibility prediction model for motion sickness.Methods A total of 60 healthy male volunteers were enrolled to receive sinusoidal vertical oscillation stimulation for 45 min.The motion sickness susceptibility questionnaire(MSSQ)was filled out before the experiment.Immediately after motion,the severity of motion sickness was evaluated by Graybiel scale.The motion sickness sensitive(Graybiel score≥8 and MSSQ susceptibility index＞21,n=15)and insensitive(Graybiel score≤2 and MSSQ susceptibility index＜5,n=15)participants were screened.Plasma levels of glucagon-like peptide-1(GLP-1),cholecystokinin(CCK),leptin,ghrelin,neuropeptide Y(NPY)and orexin A(OXA)were detected by enzyme-linked immunosorbent assay before and after vertical oscillation stimulation.Logistic regression model was used to analyze the predictive effect of plasma gastrointestinal hormone levels on susceptibility to motion sickness,and a combined predictive model was established.Receiver operating characteristic(ROC)curve was used to analyze predictive value of the model.Results Ghrelin and CCK levels were significantly increased in the sensitive group after stimulation compared with those before stimulation(both P＜0.01),while NPY and leptin levels were significantly decreased(both P＜0.01).Similar results were also observed when compared with the insensitive group after stimulation.Multivariate logistic regression analysis showed that plasma ghrelin,CCK and NPY were independent predictors of susceptibility to motion sickness.The established susceptibility prediction model for motion sickness was logit(P)=-0.051 ×ghrelin+0.060× NPY-0.169 ×CCK+33.397.ROC curve analysis showed that area under curve(AUC)value of the prediction model was 0.988,the sensitivity and specificity were 100.0％and 93.3％,respectively,and the prediction effect was better than ghrelin,CCK and NPY alone(AUC=0.792,0.880,0.838).Conclusion The changes of peripheral gastrointestinal appetite regulating hormone levels may be related to the susceptibility to motion sickness.The combined use of these indicators can predict the susceptibility to motion sickness.

Objective:To explore the role of interleukin-18 (IL-18) in the pathogenesis of dermatomyositis (DM) associated with positive anti-melanoma differentiation-associated gene 5 antibodies(MDA5-DM).Methods:Twenty-eight cases of MDA5-DM in the department of rheumatology and immunology, the first hospital of Nanjing medical university and the first affiliated hospital od Wannan medical colledge from August 2018 to December 2011 were included in this study, comprising 15 cases with combined rapidly progressive interstitial pneumonia (RPILD) and 13 cases without RPILD (nonRPILD). Additionally, 28 cases of antisynthetase syndrome (ASS) and 28 healthy volunteers (HC) were included for comparison. Clinical, laboratory, and imaging data were collected for both the DM and ASS groups. Serum IL-18 levels were measured using ELISA. Independent t test, Mann-whitney U test, χ2 test and Fisher′s exact probability method were used for analysis. Results:Significant differences were observed in LDH, hydroxybutyrate dehydrogenase (HBDH), ESR, CRP, serum ferritin (SFE), and IL-18 levels between the MDA5-DM group, the ASS group and the HC group ( F=46.65, 43.19, 31.28, 23.94, 30.94, 49.44, all P<0.001). Additionally, lymphocyte counts and hemoglobin levels differed significantly among the three groups( F=35.26, P<0.001; F=18.59, P<0.001). MDA5-DM patients exhibited higher incidences of Gottron′s sign, helitrope rash, periungual erythema, skin ulcers, and RPILD compared to ASS patients ( χ2=20.96, P<0.001; χ2=5.85, P=0.016; χ2=13.69, P<0.001; χ2=9.16, P=0.002; χ2=4.79, P=0.029). However, the incidence of mechanic′s hand was lower in MDA5-DM patients ( χ2=3.90, P=0.048). The level of IL-18 significantly decreased in MDA5-DM after treatment[(104.28(71.96,151.10)pg/ml vs. 78.30(56.20, 94.80)pg/ml, =2.27, P=0.023)]. Similar reductions were observed in the ASS group[(72.30(61.39, 95.94)pg/ml vs. 45.30(29.00,84.10)pg/ml, Z=2.691, P=0.007]. The IL-18 level changes in the MDA5-DM combined with RPILD group were not statistically significant [99.49 (77.65, 130.87)pg/ml vs. 89.40(54.80, 120.20)pg/ml, Z=0.65, P=0.515]. In the MDA5-DM survival group, IL-18 levels decreased significantly after treatment [59.45(53.58, 81.63)pg/ml vs. 106.37(83.62, 152.07)pg/ml, Z=2.80, P=0.005], while the changes in the IL-18 levels of patients in the MDA5-DM death group were not statistically significant [99.49(56.70, 140.15)pg/ml vs. 94.80(71.40, 155.45)pg/ml, Z=1.75, P=0.080]. Conclusion:MDA5-DM patients are different from the ASS patients in clinical manifestations and indicators involved in laboratory tests. The expression level of IL-18 tends to increase during the active phase of MDA5-DM and ASS, and decrease with remission of the disease. MDA5-DM may play an important role in the pathogenesis, and persistent high level of IL-18 is responsible for RPILD and death of MDA5-DM. Sustained high level of IL-18 can be used as a potential biomarker for the estimating development of MDA5-DM into RPILD.

Objective: To evaluate the accuracy and feasibility of coronary artery calcium score ( CACS) on virtual non-contrast scan ( VNC) images obtained from coronary artery CT angiography ( CCTA) scan with dual －layer spectral detector CT (SDCT) ． Methods : The data of 197 patients who underwent CCTA scan in hospital were analyzed retrospectively，and 88 patients with CACS ＞0 were further analyzed． Linear regression analysis of CACS and coronary artery calcium volume ( CACV) of true non-contrast (TNC) images and VNC images ( CACS-TNC， CACS-VNC，CACV-TNC，CACV-VNC) was performed to obtain linear regression equation and correction coefficients λ 1AVG and λ2AVG ．CACS-VNC and CACV-VNC were corrected by the corresponding regression equation and recorded as CCACS-VNC and CCACV-VNC，respectively．Spearman correlation coefficient was used for correlation analysis and Bland-Altman plot was used for consistency test．Mann-Whitney U test was used to compare the difference between the two groups. Results : For the total coronary artery，there was a strong correlation between CACS- TNC and CACS-VNC (rs = 0. 952，P ＜0. 001 ，λ 1AVG = 2. 19 ) ，CACV-TNC and CACV-VNC ( rs = 0. 954，P < 0. 001，λ2AVG = 1. 93) ．The results of Mann-Whitney U test showed that there was no significant difference between CACS-TNC and CCACS-VNC or between CACV-TNC and CCACV-VNC，and the Bland-Altman plot showed good consistency between CACS-TNC and CCACS-VNC ，CACV-TNC and CCACV-VNC． Conclusion VNC images based on SDCT can accurately measure CACS and be used for cardiovascular risk classification，which is expected to replace TNC scan and reduce the radiation dose of patients.

Objective:To evaluate the safety and efficacy of a dedicated neonatal-infant brain 0.35 T MRI system.Methods:A dual-center controlled clinical trial was conducted with single-arm objective performance criteria. From June to July 2020, sixty-six infants aged 0-12 (6.3±3.4) months were recruited from Children′s Hospital of Soochow University and the First People′s Hospital of Lianyungang prospectively. All infants underwent brain MRI with a dedicated neonatal-infant 0.35 T brain MRI system, using the dedicated two-channel transceiver head coil. MRI protocol included spin echo T 1WI, fast spin echo T 2WI, fluid attenuated inversion recovery, diffusion weighted imaging and 3D gradient echo sequence. MRI sequences were set with three orientations (axial, sagittal and coronal). Each case received at least two scanning planes and two scanning sequences. Five-point Likert scoring system was used to evaluate the image quality of acquired images, and the target value was set as at least 3 points per image. The temperature, heart rate and breathe of the infants were recorded before and after MRI; the acoustic noise of the MRI system was measured during the scanning process; and the adverse reactions were recorded if presented. Results:Five infants successfully completed their examination during non-sedated sleep in a single attempt, and 61 infants after sedation with chloral hydrate. Based on MRI-based five-point Likert scoring system, 41 cases achieved a score of 5, 21 cases with a score of 4 and 4 cases with a score of 3. Cases with score of 3 was due to movement of the infants during the scan, which resulted in motion related artifacts. The vital signs of all infants showed stable before and after imaging, with heart rate of (126.8±12.9) beats per minute, breathe of (38.2±6.8) times per minute. It was found that 47 cases showed no sign of temperature raise after brain MRI, 15 cases had less than 0.3 ℃ raise and 4 cases had 0.3 ℃ to 0.5 ℃ raise. The noise recorded during the scanning process was (57.5±1.8) dB(A). One case had mild diarrhea on the day of MR scan, and the symptoms disappeared on the second day without treatment; no adverse reactions were found for the rest subjects.Conclusion:Dedicated neonatal-infant 0.35 T brain MRI system allows data acquisition with high safety and excellent image quality, which has potentials in the clinical applications.

Objective    To explore the mechanism of dihydrouridine synthase 4-like (DUS4L) on the development of lung adenocarcinoma (LUAD). Methods    The RNA-seq expression data of LUAD was downloaded from The Cancer Genome Atlas (TCGA), and the relationship between its clinical pathological characteristics and DUS4L mRNA expression was evaluated. The effect of DUS4L knockdown on the proliferation of A549 cells was detected by EDU proliferation assay. The gene expression profile of lung adenocarcinoma A549 cells in the DUS4L knockdown group (KD group) and control group (NC group) was detected by transcriptome sequencing technique. The differential genes were screened by DESeq2. ClusterProfiler was used to perform GO functional enrichment analysis of differential genes. Results    The expression of DUS4L mRNA in LUAD tissues was higher than that in normal tissues, and the up-regulation of DUS4L was related to the clinical pathological characteristics of LUAD patients. EDU proliferation assay suggested that knocking down DUS4L could inhibit the proliferation of A549 cells. A total of 456 differential genes were screened, including 289 up-regulated genes and 167 down-regulated genes [|log2(fold change)|>1 and Padj<0.05]. STC2 and TRIB3 were significantly down-regulated (P<0.05). Differential genes were mainly involved in the production of interleukin-8, angiogenesis, vascular endothelial cell proliferation and other biological pathways. Conclusion    DUS4L can widely regulate the gene expression of LUAD cells, which provides a new idea for further studying the function and role of DUS4L in the occurrence and development of LUAD and finding new therapeutic targets for LUAD.

BACKGROUND: Lung cancer is the cancer with the highest mortality at home and abroad at present. The detection of lung nodules is a key step to reducing the mortality of lung cancer. Artificial intelligence-assisted diagnosis system presents as the state of the art in the area of nodule detection, differentiation between benign and malignant and diagnosis of invasive subtypes, however, a validation with clinical data is necessary for further application. Therefore, the aim of this study is to evaluate the effectiveness of artificial intelligence-assisted diagnosis system in predicting the invasive subtypes of early‑stage lung adenocarcinoma appearing as pulmonary nodules. METHODS: Clinical data of 223 patients with early-stage lung adenocarcinoma appearing as pulmonary nodules admitted to the Lanzhou University Second Hospital from January 1st, 2016 to December 31th, 2021 were retrospectively analyzed, which were divided into invasive adenocarcinoma group (n=170) and non-invasive adenocarcinoma group (n=53), and the non-invasive adenocarcinoma group was subdivided into minimally invasive adenocarcinoma group (n=31) and preinvasive lesions group (n=22). The malignant probability and imaging characteristics of each group were compared to analyze their predictive ability for the invasive subtypes of early-stage lung adenocarcinoma. The concordance between qualitative diagnostic results of artificial intelligence-assisted diagnosis of the invasive subtypes of early-stage lung adenocarcinoma and postoperative pathology was then analyzed. RESULTS: In different invasive subtypes of early-stage lung adenocarcinoma, the mean CT value of pulmonary nodules (P<0.001), diameter (P<0.001), volume (P<0.001), malignant probability (P<0.001), pleural retraction sign (P<0.001), lobulation (P<0.001), spiculation (P<0.001) were significantly different. At the same time, it was also found that with the increased invasiveness of different invasive subtypes of early-stage lung adenocarcinoma, the proportion of dominant signs of each group gradually increased. On the issue of binary classification, the sensitivity, specificity, and area under the curve (AUC) values of the artificial intelligence-assisted diagnosis system for the qualitative diagnosis of invasive subtypes of early-stage lung adenocarcinoma were 81.76%, 92.45% and 0.871 respectively. On the issue of three classification, the accuracy, recall rate, F1 score, and AUC values of the artificial intelligence-assisted diagnosis system for the qualitative diagnosis of invasive subtypes of early-stage lung adenocarcinoma were 83.86%, 85.03%, 76.46% and 0.879 respectively. CONCLUSIONS Artificial intelligence-assisted diagnosis system could predict the invasive subtypes of early‑stage lung adenocarcinoma appearing as pulmonary nodules, and has a certain predictive value. With the optimization of algorithms and the improvement of data, it may provide guidance for individualized treatment of patients.
Adenocarcinoma/pathology* ; Adenocarcinoma of Lung/pathology* ; Artificial Intelligence ; Humans ; Lung Neoplasms/pathology* ; Multiple Pulmonary Nodules ; Neoplasm Invasiveness ; Retrospective Studies

Objective:To evaluate the efficacy of artificial intelligence assisted pulmonary nodule diagnosis system in detection pulmonary nodule and predicting the malignant probability of pulmonary nodule.Methods:A retrospectively analyze the clinical data of 199 patients with lung nodules in the Thoracic Surgery Department of Lanzhou University Second Hospital from May 2016 to July 2020. The preoperative chest CT was imported into the artificial intelligence system to record the detected lung nodules, to measure nodal diameter and density classification and malignant probability prediction value of each nodule. The detection rate of pulmonary nodules by artificial intelligence system was calculated, and the sensitivity, specificity, positive likelihood ratio and negative likelihood ratio of artificial intelligence system in the differential diagnosis of benign and malignant pulmonary nodules were calculated and compared with manual film reading. and the sensitivity and specificity in the differential diagnosis of benign and malignant pulmonary nodules under the condition of different size and density of pulmonary nodules.Results:A total of 204 pulmonary nodules were pathologically diagnosed by surgical resection, and the detection rate of pulmonary nodules by artificial intelligence system was 100%. The artificial intelligence system can distinguish benign and malignant pulmonary nodules with a sensitivity of 95.83%(95% CI: 0.8967-0.9883), specificity 25.00%(95% CI: 0.1717-0.3425), and a positive likelihood ratio of 1.27(95% CI: 1.14-1.44), negative likelihood ratio 0.17(95% CI: 0.06-0.46), Manual reading for the differentiation of benign and malignant pulmonary nodules has a sensitivity of 87.36%(95% CI: 0.7850-0.9352), specificity 72.17%(95% CI: 0.6214-0.8079), and a positive likelihood ratio of 3.14(95% CI: 2.26-4.37), the negative likelihood ratio is 0.18(95% CI: 0.10-0.31). 5mm≤diameter of pulmonary nodule<10 mm, sensitivity 100%(95% CI: 0.6637-1.0000), specificity 50.00%(95% CI: 0.01258-0.98740), 10 mm≤diameter of pulmonary nodule <20 mm, sensitivity 94.29%(95% CI: 0.8084-0.9930), specificity 29.83%(95% CI: 0.1843-0.4340), 20 mm≤ diameter of pulmonary nodule ≤30 mm, sensitivity 96.15%(95% CI: 0.8679-0.9953), specificity 18.37%(95% CI: 0.0876-0.9953), sensitivity of subsolid lung nodules: 100%(95% CI: 0.9051-1.0000), specificity 20.00%(95% CI: 0.0051-0.7164), solid lung nodule sensitivity 93.22%(95% CI: 0.8354-0.9812), specificity 25.24%(95% CI: 0.1720-0.3476). Conclusion:The artificial intelligence assistant diagnosis system of pulmonary nodules has a strong performance in the detection of pulmonary nodules, but it can not meet the clinical requirements in the differentiation of benign and malignant pulmonary nodules. At present, the artificial intelligence system can be used as an auxiliary tool for doctors to detect pulmonary nodules and assist in the diagnosis of benign and malignant pulmonary nodules.

Objective To evaluate the clinical value of 18 F-FDG PET/CT for restaging, guiding therapeutic strategy and predicting prognosis in patients with postoperative colorectal cancer (PCC). Methods Records of 91 patients (51 males, 40 females;average age (54.90±11.47) years) in whom PCC were eval-uated by 18 F-FDG PET/CT imaging from May 2010 to June 2014 were retrospectively reviewed. All patients underwent evaluation at the First Affiliated Hospital of Soochow University. 18 F-FDG PET/CT results were compared with the results from pathological examination, clinical long-term follow-up (≥6 months ) and conventional imaging. Diagnostic efficiency of 18 F-FDG PET/CT in detecting recurrence and metastases of PCC were calculated. The clinical value of 18 F-FDG PET/CT in restaging and guiding therapeutic strategy were analyzed in patients with true positive results. Kaplan-Meier survival analysis was conducted based on the results of PET/CT and the alteration of therapeutic strategy after PET/CT. Results The sensitivity, specific-ity, accuracy, positive predictive value and negative predictive value of 18 F-FDG PET/CT were 96. 36%(53/55), 83.33%(30/36), 91.21%(83/91), 89.83%(53/59) and 93.75%(30/32), respectively. The median survival time and the 5-year survival rate were 10.00 years and 84% in patients with true negative PET/CT results, and were 6. 33 years and 53% in true positive group. Patients with true negative results showed longer OS and PFS than those with true positive results (χ2=7.753, 8. 933, both P<0.01). Among the 53 patients with true positive PET/CT results, tumor restaging was up-regulated in 32 patients and down-regulated in 2 patients. Therapeutic strategies were changed in 33 patients, in whom the PFS was lon- ger than those without treatment alteration (χ2=4.905, P<0.05) . Conclusion 18 F-FDG PET/CT imaging has the high sensitivity and accuracy in detecting recurrence and metastasis of PCC, with the potential for altering clinical restaging and therapeutic strategy timely.

Purpose To investigate the diagnostic value of fetal echocardiography in total anomalous pulmonary venous connection (TAPVC),and to analyze the reasons ofmisdiagnosis so as to improve accuracy of prenatal diagnosis.Materials and Methods The prenatal echocardiographic data of 24 cases of TAPVC confirmed by postnatal echocardiography and prenatal MRI from October 2001 to December 2015 in Children's Hospital Affiliated to Nanjing Medical University and Shanghai Children's Medical Center Affiliated to Shanghai Jiaotong University School of Medicine were retrospectively analyzed.Results In 24 cases,there were 14 fetuses of supracardiac type,7 cases of intracardiac type,2 cases of infracardiac type,and 1 case of mixed type.15 fetuses had TAPVC only,whereas 9 cases were associated with other cardiovascular anomalies,most commonly including bilateral right atria,single atrium,single ventricle,common atrioventricular valve and pulmonary stenosis.On 4-chamber views,the common sonographic sign was absent of pulmonary venous return to the left atrium in 24 cases (100.0％),and the presence of venous confluence between left atrium and descending aorta was observed in 22 cases (91.7％).In all 24 cases,1 case was missed diagnosis,and 3 cases were misdiagnosed as persistent left superior vena cava,common pulmonary vein atresia and patent left atrial cardinal vein.Conclusion TAPVC can be accurately diagnosed by fetal echocardiography,but it is prone to be misdiagnosed.

Objective:To compare the marginal and internal fit of selective laser melting(SLM)titanium crowns with lost-wax cast (LW)titanium crowns.Methods:Titanium crowns of 10 subjects were fabricated by SLM and conventional LW respectively(n =10).The marginal and internal gaps of the crowns were recorded with silicon film using a replica technique.Each silicon film was cut into 2 parts and the thickness of silicon layer was measured at ×100 magnification using a stereomicroscope,the data of marginal gap (MG)and internal gap(IG)were statistically analysed by ANOVA and SPSS statistical package version 17.0.Results:The MG (μm)of the titanium crowns of SLMgroup and LMgroup were 90.67 ±14.7 and 94.77 ±21.9(P <0.05),IG were 213.73 ±90.4 and 217.00 ±97.7(P >0.05),respectively.Conclusion:The marginal fit of the SLMcrowns is better than that of the LW ones,and is significantly smaller than 120 μm of the clinical generally accepted standards.