Objective To analyze CT findings of insulinoma,and to summarize the causes of missed diagnosis of nontypical insuli-noma.Methods Clinical and CT manifestations of 18 patients with 18 insulinomas were analyzed retrospectively which were proved by surgery and pathology,and the causes of the missed diagnosis of nontypical insulinoma were also summarized.Results 10 patients with 10 insulinoma underwent CT plain scan with isodensity in 9 and slightly lower density in 1 with thread-like capsule.Other 18 patients underwent enhanced CT scan,10 of whom showed obvious enhancement in arterial phase with isodentisy in 6 and slightly higher density in 4 in portal phase,and isodensity in 10 in delayed phase.4 lesions showed mild-to-moderate enhancement in arterial phase with slightly higher density than normal pancreas in 2 and isodentisy in 2 in portal phase,and slightly higher density than nor-mal pancreas in 1 and similar density to pancreas in 3 in delayed phase.In portal phase,the enhanced degree in 8 was similar to the pancreas,and that in 6 was slightly higher or higher than that of pancreas.In delayed phase,13 were similar to the pancreas and other 1 was higher than that.3 of 18 lesions were easily missed,and 4 lesions with missed diagnosis showed isodensity on plain CT and en-hanced CT,and were further detected by other imaging methods.Conclusion Multiphase enhancement CT scanning can be used as the first choice for the insulinoma.

AIM: To investigate the effects of non-ventilated lung with N_2O on systemic oxygenation and lactic acid level in arterial blood during one lung anesthesia. METHODS: Twenty-two patients, ASA Ⅰ-Ⅲ, scheduled for selective pulmonary surgery, were randomly divided into two groups: control group (group A, n=11) and observation group (group B, n=11). Group A: the non-ventilated lung was kept open to the air; group B: N_2O 2 cmH_2O through CPAP system was insufflated into the non-ventilated lung during one lung ventilation. The anesthesia was induced with intravenous midazolam (0.05 mg?kg~(-1)), propofol (0.5-1.0 mg?kg~(-1)), fentanyl (4 ?g?kg~(-1)), and vecuronium (0.1 mg?kg~(-1)) and was maintained with inhaling isoflurane. Blood gas analysis and lactic acid was recorded 20 min after two-lung ventilation (TLV) in the supine position, 20 min after one-lung ventilation (OLV) in the supine position, 20 min and 40 min after OLV in the lateral position and at the end of operation and the shunt fraction was calculated. RESULTS: PaO_2 in group B was significantly higher than that in group A (P

Objective To explore the application value of monoexponential, biexponential models multiple b values diffusion weighted imaging(DWI) in distinguishing pancreatic cancer from non-tumorous pancreas.Methods Subjects comprised 37 pancreatic cancers confirmed by clinical or surgery.Pancreas multiple b values DWI was performed using 3.0T scanner.Standard apparent diffusion coefficient (ADCstandard) was calculated using monoexponential diffusion model.Pure diffusion coefficient (ADCslow), pseudodiffusion coefficient (ADCfast) and perfusion fraction (f) were calculated using intravoxel incoherent motion(IVIM) diffusion model.Parameters of pancreatic cancers and non-tumorous pancreas were compared using independent samples t test.Results Mean ADCslow value of pancreatic cancer was higher than that of non-tumorous pancreas (0.611×10-3 mm2/s vs 0.521×10-3 mm2/s,P=0.037).Mean ADCfast and f values of pancreatic cancer were lower than that of non-tumorous pancreas (5.066×10-3 mm2/s vs 7.188×10-3 mm2/s,P=0.035;55.8% vs 64.0%,P=0.016;respectively).ADCslow of pancreatic cancer was positively correlated to ADCstandard (r=0.824,P=0.000).ADCfast of pancreatic cancer was negatively correlated to f(r=-0.558,P=0.000).Conclusion ADCslow, ADCfast and f derived from IVIM-DWI model can distinguish pancreatic cancer from non-tumorous pancreas.IVIM-DWI may be a promising and non-invasive tool for early diagnosing and differentiating pancreatic carcinoma from non-tumorous pancreas.

Purpose To explore the application of intra voxel incoherent motion diffusionweighted imaging (IVIM-DWI) quantitative parameters in evaluating the pathological stage of pancreatic cancer by comparing the manifestations of IVIM-DWI in patients with pancreatic cancer in different differentiaed degrees as there lacked effective screening instrument for the early diagnosis of pancreatic cancer.Materials and Methods Sixteen patients with pathologically proved pancreatic cancer (10 with high-moderation differentiation while 6 with low differentiation) were enrolled,and 3.0T MRI was used to conduct pancreatic DWI with multiple b values.IVIM double-exponential model was used to analyze the measurement parameters of DWI with multiple b values,so as to measure the slow apparent diffusion coefficient (ADCslow),fast apparent diffusion coefficient (ADCfast) and filling fraction (f).Results The ADCslow value was evidently lower in patients with high-moderate differentiated pancreatic cancer than those with low differentiated pancreatic cancer [(0.546± 0.041)× 10-3 mm2/s vs.(0.677± 0.120)× 10-3 mm2/s,P＜0.05],and f value was notably higher in patients with high-moderate differentiated pancreatic cancer than those with low differentiated pancreatic cancer [(59.3 ± 8.8)％ vs.(41.7±22.4)％,P＜0.05].The area under the curve of ADCslow was higher than that of f when distinguishing high-moderate differentiated and low differentiated pancreatic cancer (0.850＞0.750).The sensitivity and specificity were 100.00％ and 83.33％ when ADCslow ≤ 0.599×10-3 mm2/s,and were 100.00％ and 66.67％ when f＞44.7％ in distinguishing high-moderate differentiated and low differentiated pancreatic cancer,respectively.Conclusion ADCslow and f,as the quantitative parameters for IVIM-DWI,can distinguish high-moderate differentiated and low differentiated pancreatic cancer,and predict the pathological stage of pancreatic cancer before operation.Moreover,they also have high diagnostic efficacy in distinguishing high-moderate differentiated and low differentiated pancreatic cancer.

Objective To investigate the clonal rearrangement characteristics and clinical application value of IGH gene in B-cell non-Hodgkin's lymphoma(B-NHL).Methods Demographic and clinical data as well as IGH sequencing results of 55 patients with B-NHL who underwent next-generation sequencing(NGS)testing were collected,and IGH gene clonal rearrangement was detected.The characteristics of IGH gene clonal rearrangement,IGHV gene usage,and the clinical application value of NGS for IGH clonal rearrangement were analyzed.Results Among 55 patients with B-NHL and IGH clonal rearrangement,single dominant clones were mainly detected(85.45%,47/55);a few patients had two(12.73%,7/55)and three dominant clones(1.82%,1/55).In terms of preference for IGHV gene usage,IGHV3 gene had the highest frequency of access in B-NHL,followed by IGHV4.Among the IGHV subtypes,IGHV3-23 had the highest frequency in chronic lymphocytic leukemia/small lymphocytic lymphoma,and IGHV4-34 had the highest frequency in primary central nervous system diffuse large B-cell lymphoma and not otherwise specified diffuse large B-cell lymphoma.Conclusion A preference for IGHV gene usage in clonal rearr-angement of IGH genes is noted in B-NHL patients with different pathological types.Using NGS to detect IGHclonal rearrangement can identify subclones and clonal correlations,and assist in disease diagnosis.

Objective: Previous research has explored a variety of mental disorders associated with Internet Gaming Disoder (IGD) and Social Media Addiction (SMA). To date, few studies focused on the network characteristics and investigated mood and sleep symptoms across SMA and IGD of adolescence at a group-specific level. This study aims to identify different characteristics of IGD and SMA and further determine the group-specific psychopathology process among adolescents. Methods: We conducted a cross-sectional study to recruit a cohort of 7,246 adolescents who were scored passing the cutoff point of Internet Gaming Disorder Scale-Short Form and Bergen Social Media Addiction Scale, as grouped in IGD and SMA, or otherwise into the control group. Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-item, and Pittsburgh Sleep Quality Index were assessed for the current study, and all assessed items were investigated using network analysis. Results: Based on the analytical procedure, the participants were divided into three groups, the IGD group (n=789), SMA group (n=713) and control group (n=5,744). The edge weight bootstrapping analysis shows that different groups of networks reach certain accuracy, and the network structures of the three groups are statistically different (pcontrol-IGD=0.004, pcontrol-SMA<0.001, pIGD-SMA<0.001). The core symptom of SMA is “feeling down, depressed, or hopeless”, while IGD is “feeling tired or having little energy”. Conclusion Although IGD and SMA are both subtypes of internet addiction, the psychopathology processes of IGD and SMA are different. When dealing with IGD and SMA, different symptoms should be addressed.