Objective To observe the value of radiomics models and nomogram model based on two-dimensional ultrasound and automated breast volume scanning(ABVS)for predicting molecular types of breast cancer.Methods Data of 326 female patients of single breast cancer confirmed by pathology were analyzed retrospectively.The patients were randomly divided into training set(n=260)or validation set(n=66)at the ratio of 8∶2,and further divided into Luminal subgroup and non-Luminal subgroup.Radiomics features were extracted based on two-dimensional ultrasound of breast and ABVS imaging,then model2DUS,modelABVS and modelcombined radiomics were constructed,respectively.Univariate analysis and multivariate logistic regression analysis were used to screen independent factors for predicting molecular types of breast cancer,and nomogram model(modelnomogram)was constructed combined with independent factors and radiomics Radscores.The receiver operating characteristic(ROC)curve was used to evaluate the efficacy of each model for molecular type of breast cancer.Results The maximum diameter of tumor(OR=1.029)and the retraction phenomenon(OR=0.408)were both independent predictive factors for molecular type of breast cancer(both P＜0.05).The area under the curve(AUC)of model2DUS,modelABVS.modelcombined radiomics and modelnomogram for predicting molecular type of breast cancer in validation set was 0.67,0.75,0.84 and 0.83,respectively.No significant difference of AUC of modelcombined radiomics and modelnomogram was found(P＞0.05),which were both higher than AUC of model2DUs and modelABVS(all P＜0.05).Conclusion Combined radiomics model and nomogram model based on two-dimensional ultrasound and ABVS could effectively predict molecular type of breast cancer.

Objective: To establish a method for the determination of 1-methoxy-2-propanol in urine using headspace solid phase micro-extraction coupled with gas chromatography. Methods: The 1-methoxy-2-propanol was enriched by headspace solid phase micro-extraction fiber coated with carbene/polydimethylsiloxane (CAR/PDMS) . Single factor rotation method was used to optimize the conditions of extraction temperature, salt amount, and extraction time. The separation was performed on DB-5 (30 m×0.32 mm×0.25 μm) capillary column and detected with flame ionization detector. The quantification was based on the standard curve. Results: The concentration of 1-methoxy-2-propanol in urine was linear in the range of 0.50-10.0 mg/L, and the linear correlation coefficient was 0.9993. The detection limit of the method was 0.14 mg/L, and the limit of quantification was 0.45 mg/L. The recovery was 85.8% to 104.7%, and the RSD of intra- and inter-batch precision were 3.25%-6.65% and 0.81%-3.96%, respectively. Conclusion The method is high sensitivity and simple operation, and is suitable for the determination of 1-methoxy-2-propanol in urine of occupational exposure population.

Objective: To establish a method for determining cyclohexanol in urine by headspace solid-phase microextraction (HS/SPME) coupled with gas chromatography (GC) . Methods: After the urine sample was hydrolyzed by β-glucuronidase, 2.0 g of NaCl was added, then the analyte in urine was adsorbed by a CAR/PDMS solid phase micro-extraction head in a water bath at 50 ℃ for 20 min. And the extraction head was inserted into the gas chromatograph gasification chamber to desorb, the analyte was detected after separated by the capillary through the flame ionization detector. Results: The linear range of the method was 0.1-5.0 mg/L with the correlation coefficients (r) 0.999. The average recovery was 84.5%-96.3%, the inter-day precision was 3.81%-6.00%, and the detection limit was 0.03 mg/L. Conclusion The method is founded to be low detection limit, simple operation and no need of organic solvent. So it is suitable for the detection of cyclohexanol in urine of occupational exposure to cyclohexanone.