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Objective To explore the clinical feasibility of predicting synchronous liver metastases based on MRI radiomics nomogram based on T2WI in rectal cancer. Methods The imaging and clinical data of 261 patients with primary rectal cancer admitted to Zhejiang People′s Hospital from April 2012 to May 2018 were retrospectively analyzed. 101 patients were accompanied by synchronous liver metastasis All cases were divided into training group (n=182) and verification group (n=79). T2WI image of each patient was selected to extract texture features by AK analysis software of GE company. A radiomics signature was constructed after reduction of dimension in training group by the least absolute shrinkage and selection operator (LASSO). Univariate logistic regression was used to select for independent clinical risk factors and multivariate logistic regression along with imaging omics tags were used to construct predictive models and nomogram. ROC was used to assess the accuracy of the nomogram in the training group and to verify them by the validation group. Finally, the clinical efficacy of each patient′s synchronized liver metastasis risk factor was calculated based on the nomogram. Results A total of 328 texture features were extracted from the T2WI. Seven most valuable features were selected after reducing the dimension by LASSO algorithm, including 3 co-occurrence matrices (GLCM) and 4 run-length matrices(RLM). Tumor staging and radiomic signatures were included in the Multifactor logistic regression to build the prediction model and nomogram. The accuracy of predicting SRLM was 0.862 and 0.844 in the training and the verification group, respectively. To evaluate the accuracy of the nomogram, radiomics signature and the tumor staging in all cases were 0.857, 0.832 and 0.663, respectively. There was no significant difference in the number of SRLM cases between the high risk group and the low risk group based on nomogram (P>0.05). Conclusion The radiomics nomogram based on T2WI can be used as a quantitative tool to predict synchronous liver metastases of rectal cancer.
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Objective To explore the value of CT radiomics model in predicting three-year survival time in patients with primary hepatocellular carcinoma (HCC). Methods Eighty one patients pathologically or clinically confirmed HCC and B stageof Barcelona clinical liver cancer before transcatheter arterial chemoembolization (TACE) in Zhejiang Cancer Hospitalwere retrospectively enrolled from January 2010 to June 2014.A primary cohort consisted of 64 patients and an independent validation cohort consisted of 17 patients. The patients were divided into survival group of 39 cases and death groupof 42 cases duringthree-year follow-up. All the patients underwentnon-enhanced and contrast-enhanced CTimages scan before TACE. Three hundered and seventy six quantization radiomics features were extracted from the arterial phase and portal phase CTimages of target lesion. LASSO regression model was used for data dimension reduction. Logistic regression was used to develop the prediction model. The predictive ability of the model was validated using the area under the curve (AUC) of receiver operating characteristic(ROC) analysis. Results The radiomics features selected from the arterial and portal phase were 8 and 5, respectively. The arterial prediction model showed AUC=0.833, sensitivity=83.9％(26/31), specificity=81.8％(27/33), accuracy=82.8％(53/64)in primary datasetand AUC=0.861, sensitivity=75.0％(6/8), specificity=100.0％(9/9), accuracy=88.2％(15/17)in independent validation dataset.The portal prediction model showed AUC=0.858, sensitivity=83.3％(25/30), specificity=85.3％(29/34), accuracy=84.4％(54/64)in primary dataset and AUC=0.750, sensitivity=75.0％(6/8), specificity=100.0％(9/9), accuracy=88.2(15/17)in independent validation dataset. Conclusion This study shows CT radiomics model can be conveniently used to facilitate the preoperative individualized prediction of three-year survival time in patients with HCC.
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OBJECTIVE:To establish a method for content determination of cyproheptadine hydrochloride in fuyan cream.METHODS:Ultraviolet spectophotometry was applied to determine the contents of cyprohepatadine hydrochloride as well as its adjuvant as two coexisting components without isolation and extraction,the wavelengths were286nm and258nm res_ pectively,linear regression and simultaneous equations were used to analyze the results.RESULTS:Cyproheptadine hydrochlor_ ide and its adjuvant showed good linear relationship in the range of2.52～25.2and2.5022～25.022?g/ml respectively,the average recovery of cyproheptadine hydrochloride was98.61%(RSD=1.08%).CONCLUSION:The present method is simple,convenient,reproducible and reliable,which is suitable for rapid determination for fuyan cream.
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Objective To discuss MRI appearance of the cerebral schistosomiasis and its clinical value through analyzing the MRI features and post surgery pathological findings. Methods MRI features of the cerebral schistosomiasis in 16,pathologically ( n =6) or clinically( n =10) proved cases were analyzed etrospectively,and compared with the post surgery pathological findings in 6 cases. Results Single masses were found in 11 cases (11/16),and multiple masses in 5 cases(5/16), amounting to 23 masses . fifteen masse(15/23) were located in right cerebral hemisphere,including frontal lobe ( n =2),frontoparietal lobe ( n =5) ,and occipitoparietal lobe ( n =8), while 8 masses (8/23) in left cerebral hemisphere,including frontal lobe ( n =1),frontoparietal lobe ( n =3), and occipitoparietal lobe ( n =4).The nodular masses were isointense with the gray mass like "island", and 12 cases (12/16) show the "gigantic hand" form of edma around them. After IV administration of Gd DTPA,15cases (15/16) revealed multiple closely spaced,intensely enhancing nodules,1 3 mm in diameter,distributed throughout the mass. Seven cases misdiagnosed by CT were revised by MRI. Conclusion The MRI appearance of the cerebral schistosomiasis is characteristic,and MRI is the most valuable tool to diagnose it without injury.