Objective To observe the value of enhanced MRI"strawberry sign"for differentiating solitary predominantly cystic brain metastasis and glioma.Methods Thirty-four patients with solitary predominantly cystic(cystic proportion greater than 50％)brain metastasis(metastasis group)and 43 with solitary predominantly cystic glioma(glioma group)were retrospectively enrolled,and the value of"strawberry sign"showed on contrast enhanced T1WI(CE-T1WI)for differentiation was analyzed.Results The detection rate of"strawberry sign"in metastasis group was 44.12％(15/34),and the primary cancer was lung adenocarcinoma in 6 cases(6/15,40.00％),small cell lung cancer in 3 cases(3/15,20.00％),as well as lung squamous cell carcinoma,breast cancer,colon adenocarcinoma,endometrioid carcinoma,fallopian tube adenocarcinoma and rectal melanoma each in 1 case(1/15,6.67％).Meanwhile,the detection rate of"strawberry sign"in glioma group was 18.60％(8/43),and all were observed in WHO grade 4 gliomas.The detection rate of"strawberry sign"in metastasis group was higher than that in glioma group,which was not related to patients' gender(P=0.442).The sensitivity,specificity,accuracy,positive predictive value and negative predictive value of"strawberry sign"for differentiating solitary predominantly cystic brain metastasis and glioma was 44.12％,81.40％,64.94％,65.22％and 64.81％,respectively.Conclusion"Strawberry sign"showed on CE-T1WI was helpful for differentiating solitary predominantly cystic brain metastasis and glioma.

Purpose To evaluate the value of tumors invasion in the central airway(TICA)in predicting the severe immune checkpoint inhibitor-related pneumonitis(S-CIP)in lung cancer patients using propensity score matching(PSM).Materials and Methods The intact data of 162 consecutive lung cancer patients who received treatment with immune checkpoint inhibitors in Xi'an International Medical Center Hospital from September 2019 to March 2022 were retrospectively collected.Patients were divided into S-CIP group(23 cases)and non-S-CIP group(139 cases)according to the presence of S-CIP.The demographic information of the patients,including gender,age,history of smoking,thoracic radiotherapy histology,baseline lung diseases,classification,TNM stage,tumor location as well as TICA were collected.A binary Logistic regression was used to analyze the confounding factors and independent risk factors of S-CIP and to predict the development of S-CIP.A 1:1 matching was performed by the nearest neighbor method for PSM.The PSM was used to pair the two groups,and the value of TICA in predicting S-CIP before and after PSM was compared.The receiver operating characteristic curve and the area under the curve were used for model performance based on TICA.Results Before PSM,the proportion of baseline lung diseases(78.3%vs.32.4%,OR=6.802,P=0.001),thoracic radiotherapy history(69.6%vs.30.2%,OR=5.300,P=0.002)and TICA(65.2%vs.27.3%,OR=5.882,P=0.001)in the S-CIP group was higher than those in the non-S-CIP group,and were independent risk factor for predicting S-CIP.After PSM,20 patients were included in each group.The presence of TICA was higher in S-CIP group than that in the non-S-CIP group(60.0%vs.20.0%,OR=6.000,P=0.013).The area under the curves of Logistic regression model based on TICA was 0.700(95%CI 0.534-0.866).Conclusion TICA is an independent risk factor for development of S-CIP,which has moderate degree of accuracy in predicting S-CIP,can be used for risk prediction and early intervention to reduce the poor prognosis of S-CIP patients.

Purpose To evaluate the value of tumors invasion in the central airway(TICA)in predicting the severe immune checkpoint inhibitor-related pneumonitis(S-CIP)in lung cancer patients using propensity score matching(PSM).Materials and Methods The intact data of 162 consecutive lung cancer patients who received treatment with immune checkpoint inhibitors in Xi'an International Medical Center Hospital from September 2019 to March 2022 were retrospectively collected.Patients were divided into S-CIP group(23 cases)and non-S-CIP group(139 cases)according to the presence of S-CIP.The demographic information of the patients,including gender,age,history of smoking,thoracic radiotherapy histology,baseline lung diseases,classification,TNM stage,tumor location as well as TICA were collected.A binary Logistic regression was used to analyze the confounding factors and independent risk factors of S-CIP and to predict the development of S-CIP.A 1:1 matching was performed by the nearest neighbor method for PSM.The PSM was used to pair the two groups,and the value of TICA in predicting S-CIP before and after PSM was compared.The receiver operating characteristic curve and the area under the curve were used for model performance based on TICA.Results Before PSM,the proportion of baseline lung diseases(78.3%vs.32.4%,OR=6.802,P=0.001),thoracic radiotherapy history(69.6%vs.30.2%,OR=5.300,P=0.002)and TICA(65.2%vs.27.3%,OR=5.882,P=0.001)in the S-CIP group was higher than those in the non-S-CIP group,and were independent risk factor for predicting S-CIP.After PSM,20 patients were included in each group.The presence of TICA was higher in S-CIP group than that in the non-S-CIP group(60.0%vs.20.0%,OR=6.000,P=0.013).The area under the curves of Logistic regression model based on TICA was 0.700(95%CI 0.534-0.866).Conclusion TICA is an independent risk factor for development of S-CIP,which has moderate degree of accuracy in predicting S-CIP,can be used for risk prediction and early intervention to reduce the poor prognosis of S-CIP patients.

Objective To observe the value of enhanced MRI"strawberry sign"for differentiating solitary predominantly cystic brain metastasis and glioma.Methods Thirty-four patients with solitary predominantly cystic(cystic proportion greater than 50％)brain metastasis(metastasis group)and 43 with solitary predominantly cystic glioma(glioma group)were retrospectively enrolled,and the value of"strawberry sign"showed on contrast enhanced T1WI(CE-T1WI)for differentiation was analyzed.Results The detection rate of"strawberry sign"in metastasis group was 44.12％(15/34),and the primary cancer was lung adenocarcinoma in 6 cases(6/15,40.00％),small cell lung cancer in 3 cases(3/15,20.00％),as well as lung squamous cell carcinoma,breast cancer,colon adenocarcinoma,endometrioid carcinoma,fallopian tube adenocarcinoma and rectal melanoma each in 1 case(1/15,6.67％).Meanwhile,the detection rate of"strawberry sign"in glioma group was 18.60％(8/43),and all were observed in WHO grade 4 gliomas.The detection rate of"strawberry sign"in metastasis group was higher than that in glioma group,which was not related to patients' gender(P=0.442).The sensitivity,specificity,accuracy,positive predictive value and negative predictive value of"strawberry sign"for differentiating solitary predominantly cystic brain metastasis and glioma was 44.12％,81.40％,64.94％,65.22％and 64.81％,respectively.Conclusion"Strawberry sign"showed on CE-T1WI was helpful for differentiating solitary predominantly cystic brain metastasis and glioma.

Objective:To accurately ascertain the whole genome sequencing and the composition of open reading frames (ORFs) of non-replicating Tiantan strain of vaccinia virus (NTV) using next-generation long-read sequencing technology.Methods:NTV, obtained from our laboratory stock, was amplified and purified on chicken embryo fibroblast cells(CEFs), and the full-length genomic nucleic acid of NTV was extracted. The PacBio HiFi sequencing platform was utilized for de novo assembly to obtain the complete genomic sequence of NTV. Using a homology annotation strategy, we identified its ORF composition and compared it with known non-replicating vaccinia virus strains. Results:The total length of NTV′s genome was 171 729 bp, with a GC content of 33%. Its unique inverted terminal repeat (ITR) region comprised hairpin structures, two tandem repeat regions, and three non-repeat regions. NTV contained 166 ORFs, with major differences observed in the ITR and its surrounding regions when compared to MVA-BN and NYVAC. These three strains shared a common set of 138 ORFs. NTV encoded six unique ORFs related to virus evasion of host antiviral response.Conclusions:This study accurately determines the whole genome sequencing and ORFs composition of NTV, and reveals its similarities and differences with other replication-deficient vaccinia virus strains, which pave a way for the development and application of the next generation of monkeypox vaccines and novel viral vectors.

Purpose To observe the clinical and CT features of severe immune checkpoint inhibitor-related pneumonitis(CIP)in lung cancer patients.Materials and Methods A total of 174 patients with lung cancer who received immune checkpoint inhibitor(PD-1/PD-L1 inhibitors)in Xi'an International Medical Center Hospital from September 1,2019 to March 31,2022 were retrospectively collected.Clinical and imaging features of patients with severe CIP were analyzed.Results There were 23 patients who met the diagnostic criteria of severe CIP.Among them,22 were male patients,15 were younger(＜65 years old),17 had a history of underlying lung disease,16 had a history of chemoradiotherapy and other treatments,and 21 had a history of combined radiotherapy and chemoradiotherapy.The median time from the initiation of immune checkpoint inhibitor to CIP was 128(74,348)days.19 patients were non-small cell carcinoma.CIP occurred in 16 patients with right lung cancer,15 had tumor central airway invasion,14 had radiographic features of diffuse alveolar injury/acute interstitial pneumonia pattern,and 20 died during follow-up.Conclusion Severe CIP is likely to occur in male lung cancer patients with a history of basic medical history and radiotherapy and chemotherapy.The clinical manifestations are varied,and the main imaging features are diffuse alveolar injury/acute interstitial pneumonia pattern,and the prognosis is poor.

ObjectiveTo observe the effect of Xiaoke drink on insulin resistance in ob/ob mice and explore the mechanism. MethodEighteen ob/ob mice were randomly assigned into model， Xiaoke drink （17.68 g·kg^-1）， and atorvastatin （0.01 g·kg^-1） groups （n=6）， and six C57BL/6 mice were selected as the normal group. Mice in the normal and model groups were administrated with the same amount of distilled water. Fasting body weight， weekly food intake， and weekly water intake were measured at a fixed time. Fasting plasma glucose （FPG） and 2-hour post-load plasma glucose （2 hPG） were measured before and after 8-week intervention. After intervention， total cholesterol （TC）， triglyceride （TG）， fasting insulin （FINS）， Homeostasis Model Assessment-Insulin Resistance （HOMA-IR）， blood routine， and alkaline phosphatase （ALP） were measured. Western blot was employed to determine the expression levels of ubiquitin-specific protease 20 （USP20） and 3-hydroxy-3-methylglutaryl coenzyme A reductase （HMGCR） in the liver. The pancreas was stained with hematoxylin-eosin for observation. ResultCompared with the model group， the Xiaoke drink group showed decreased body weight of ob/ob mice （P<0.05， P<0.01）， declined growth trend of body weight （P<0.05， P<0.01）， reduced weekly average water intake， lowered levels of FPG， 2 hPG， TC， and HOMA-IR （P<0.05， P<0.01）， and down-regulated expression level of USP20 in the liver （P<0.05）. HMGCR content was positively correlated with USP20 expression. In addition， Xiaoke drink promoted the recovery of islet tissue morphology and function in ob/ob mice. ConclusionXiaoke drink can ameliorate insulin resistance in ob/ob mice by inhibiting USP20/HMGCR expression， reversing cholesterol biosynthesis process， and reducing cholesterol level.

Objective To establish a differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern in stable angina pectoris using radiomics.Methods A total of 91 patients with stable angina pectoris who underwent coronary artery CT angiography in Affiliated Hospital of Liaoning University of Traditional Chinese Medicine from January 2021 to January 2022 were collected,including 47 cases of phlegm and blood stasis pattern and 44 cases of qi deficiency and blood stasis pattern.The patients were divided into train set(64 cases)and test set(27 cases)according to the ratio of 7∶3 by stratified random sampling method.3D-slicer software was used to extract the radiomics features of pericoronary adipose tissue(PCAT)images.Principal component analysis was used to visualize the distribution of radiomics features of pattern of phlegm and blood stasis and pattern of qi deficiency and blood stasis.The least absolute shrinkage and selection operator regression analysis and support vector machine decreasing feature elimination were used for feature selection.The multinomial logistics regression was used for model construction.The receiver operating characteristic(ROC)curve was used to verify the model in the train set and the test set to evaluate the effectiveness of the radiomics features in differentiating phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.Finally,Spearman coefficient was used to analyze the correlation between the differential features and clinical physicochemical data.Results A total of 837 radiomics features were extracted from PCAT images by 3D-slicer software.In the principal component analysis,PC1 and PC2 explained 77.9%and 8.1%of the total variance,respectively,and there was a relatively obvious separation trend between the two pattern groups.After feature screening,7 radiomics features were used to construct the differential model of phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.The area under the ROC curve(AUC)of the differential model was 0.844 in the train set and 0.834 in the test set.Spearman correlation analysis showed that the differential features were significantly correlated with cTnI,neutrophil,triglyceride,total cholesterol,and leukocyte.Conclusion The CT radiomics model based on PCAT has a high discrimination efficiency for stable angina pectoris with phlegm and blood stasis pattern and qi deficiency and blood stasis pattern.

Objective To observe the value of CT"cut-edge sign"for differentiating complex thymic cyst and thymic epithelial tumor(TET)with diameter less than 4 cm.Methods Data of 24 patients with complex thymic cyst(complex thymic cyst group)and 14 patients with TET(TET group)confirmed by surgical pathology who underwent plain and dual-phase enhanced chest CT scanning were retrospectively analyzed.CT"cut-edge sign"was evaluated by 2 physicians,and the inter-observer consistency was evaluated using intra-class correlation coefficient(ICC).The detection rate of CT"cut-edge sign"was compared between groups using logistic regression analysis.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of CT"cut-edge sign"for differentiating complex thymic cyst and TET.Results The inter-observer consistency of CT"cut-edge sign"was good(ICC=0.94,95％CI[0.90,0.97]).The detection rate of CT"cut-edge sign"in complex thymic cyst group was 62.50％(15/24),higher than in TET group(2/14,14.29％)(P＜0.01).The sensitivity,specificity,accuracy and AUC of CT"cut-edge sign"for differentiating complex thymic cyst and TET was 62.50％(15/24),85.71％(12/14),71.05％(27/38)and 0.74,respectively.Conclusion CT"cut-edge sign"was helpful for differentiating complex thymic cyst and TET with diameter less than 4 cm.

Objective:To develop a recombinase-aided amplification (RAA)-clustered regularly interspaced short palindromic repeats(CRISPR)/Cas12a-based nucleic acid assay for monkeypox virus with high specificity and sensitivity.Methods:RAA primers and CRISPR RNA (crRNA) were designed based on the known conserved regions of the monkeypox virus gene and synthesized, and specific crRNAs were screened using fluorescence detection. The sensitivity and specificity of the detection system were evaluated.Results:An RAA-CRISPR/Cas12a-based nucleic acid assay for monkeypox virus was developed with a sensitivity of 2.5 copies/reaction and high specificity without cross-reactivity with ectromelia virus and vaccinia virus.Conclusions:An RAA-CRISPR/Cas12a-based nucleic acid assay for monkeypox virus was established, which would provide a powerful tool for efficient, rapid and specific detection of monkeypox virus.