1.MR Imaging of Synovial Lesions in Early Rheumatoid Arthritis
Junping ZHEN ; Jun WANG ; Cheng LIU ; Jingzhen HE ; Guangbin WANG ; Liyun ZHANG ; Xiaofeng LI
Journal of Practical Radiology 2001;0(01):-
Objective To assess the diagnostic value of MR imaging of the wrist synovitis in early rheumatoid arthritis.Methods 60 wrists in 30 patients underwent MR imaging examination,including T1WI,T2WI,STIR and contrast-enhanced fat-suppressed 3D fast-gradient-echo sequence.MRI manifestations were analysed in comparison with clinical and laboratory test data.Results All changes including synovial hyperplasia and pannus formation(30 cases),articular cartilage destruction(21 cases),bone erosion(16 cases),joint effusion(25 cases) and tendon lesion of wrists could be showed clearly by MRI.The signal intensity of the pannus before and after administration of contrast agent and the enhanced curve of the pannus could be used to assess the lesions whether or not activation.Conclusion MRI is helpful in diagnosing early rheumatoid arthritis.
2.Silicosis:The Evaluation of Pulmonary Function Damage with Multi-slice Spiral CT
Junping ZHEN ; Cheng LIU ; Jiamin LIU ; Jingzhen HE ; Haisong CHEN ; Shaojuan SONG ; Jun WANG
Journal of Practical Radiology 2000;0(02):-
Objective To investigate the value of MSCT in evaluating pulmonary functional changes in silicosis.Methods 56 cases of silicosis and 10 healthy people(as control group) underwent inspiratory and expiratory MSCT scans and pulmonary functional test one week later.The CT findings including silicotic nodules,large opacity,emphysema,reticular opacities,bronchiectasis and air trapping were recorded and graded subjectively on CT images.Air retention and emphysema were quantified using the software of Pulmo.CT scores were correlated with spirometric findings by using spearman rank correlative analysis in comparison with pulmonary functional index.Results The scores of CT features except for reticular shadows were of significant difference between silicotic group and control group,but not between simple silicotic group and complex silicotic group.The scores of air retention and emphysema on CT were significantly negative correlation.The reticular shadows were of positive correlation with FEF 75%,FEF 50% and FEV1,but on correlation with FEV1/FVC.There were no correlation between the scores of silicotic nodules,bronchiectasis,large shadows and pulmonary functional test.There was obvious correlation between air retention,the scores of emphysema on CT and the index of pulmonary function in obstruction of small airway.Conclusion MSCT is of important value in evaluating the damage of pulmonary function in silicosis.
3.Comparative toxicology study of Cinnabar, Zhusha Anshenwan, methylmercury and mercuric chloride.
Feng KANG ; Kun WU ; Haiyang HE ; Qin WU ; Jie LIU ; Yujian KANG ; Jingzhen SHI
China Journal of Chinese Materia Medica 2010;35(4):499-503
OBJECTIVETo study the toxicity of Cinnabar and Cinnabar-containing traditional medicines (Zhusha Anshenwan) comparable to common mercurials.
METHODThe toxicity of methylmercury (MeHg), mercuric chloride (HgCl2), Cinnabar and Zhusha Anshenwan was studied in cultured human liver HL-7702 cells and in mice following acute and subacute exposures.
RESULTThe 50% lethal concentrations (LC50) of MeHg, HgCl2, Cinnabar and Zhusha Anshenwan in human liver HL-7702 cells were 4.4, 9.2, 2460, 4050 mg x L(-1), respectively . Oral cinnabar at a dose of 20 g x kg(-1) (clinical dosage 250 times) did not kill mouse, but no mouse could survive MeHg at a dose of 0.1 g x kg(-1) or HgCl2 at a dose of 0. 15 g x kg(-1). Subacute toxicity experiment indicated that HgCl2 retarded body weight gain with significant accumulation of Hg in the liver and kidney. In comparison, mercury accumulation after Cinnabar and Zhusha Anshenwan was insignificant. No apparent hepatic and renal dysfunctions were evident under the experimental conditions, but the metallothionein-2 mRNA levels were much higher in HgCl2 group than in other groups.
CONCLUSIONCinnabar and Zhusha Anshenwan are much less toxic than MeHg and HgCl2.
Animals ; Female ; Gene Expression ; drug effects ; Kidney ; drug effects ; physiology ; Liver ; drug effects ; physiology ; Male ; Mercuric Chloride ; administration & dosage ; adverse effects ; Mercury Compounds ; administration & dosage ; adverse effects ; Methylmercury Compounds ; administration & dosage ; adverse effects ; Mice ; Mice, Inbred BALB C ; Random Allocation
4.Multicenter study on distinguishing long bone osteosarcoma from Ewing sarcoma based on CT image histogram and texture feature analysis
Jianwei LI ; Jingzhen HE ; Jiuming JIANG ; Sheng DING ; Libin XU ; Sijie HU ; Chengyi JIANG ; Li ZHANG ; Meng LI
Chinese Journal of Postgraduates of Medicine 2024;47(10):875-880
Objective:To explore the application value of histogram and texture feature analysis based on CT images in distinguishing long bone osteosarcoma (OS) from Ewing sarcoma (ES).Methods:A retrospective collection of 25 patients with long bone osteosarcoma and 25 patients with Ewing sarcoma confirmed by surgery and pathology in National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Qilu Hospital of Shandong University and Nanjing Drum Tower Hospital, Nanjing University Medical School, from March 2018 to May 2023 was conducted. All patients were randomly divided into a training set (21 cases of OS and 19 cases of ES) and a validation set (4 cases of OS and 6 cases of ES) in an 8∶2 ratio. The region of interest (ROI) on CT images to extract texture feature parameters was manually sketched. Random forest and least absolute shrinkage and selection operator (LASSO) algorithm were used for feature screening. Logistic regression (LR), random forest (RF), support vector machine (SVM) and K-nearest neighbor (KNN) classifiers were used to establish models respectively. Receiver operating characteristic (ROC)curve was drawn and area under the curve (AUC) was calculated to evaluate the diagnostic efficiency of the four models.Results:A total of 100 texture parameters were extracted from CT images, and 8 feature parameters (maximum 3D diameter, 10th percentile, kurtosis, maximum pixel intensity value, inverse normalization, grayscale level variance, long range high grayscale emphasis, and low grayscale area emphasis) were obtained through screening. Four classifiers were used to establish models, and the AUC values of the four models (LR, RF, SVM, KNN) in the validation group were 0.92, 0.79, 0.83, and 0.73, respectively. LR and SVM classifier algorithm trains models had high diagnostic efficiency, with an accuracy of 90%, sensitivity of 83%, specificity of 100%, and AUC of 92% for the LR classifier validation set; the accuracy of SVM classifier validation set was 80%, sensitivity was 67%, specificity was 100%, and AUC was 83%.Conclusions:LR and SVM models have high value in distinguishing OS and ES.