1.Effect of ultrasound activating hematoporphyrin on the activities of antioxidative enzymes in mouse hepatoma 22.
Xiaoying LI ; Li'na XIAO ; Pan WANG ; Wei TANG ; Longlong ZHANG ; Quanhong LIU
Journal of Biomedical Engineering 2009;26(4):825-841
This investigation was made with regard to the influences of ultrasound combined with hematoporphyrin on the activities of antioxidative enzyme in ascites hepatoma 22 (H-22) tumor cells, and to a better understanding of the potential biological mechanism of sonodynamic therapy which involved the damage to cells. Combined with 100 microg/ml hematoporphyrin, high intensity focused ultrasound sonication at a frequency of 1.43 MHz and an intensity level of 2.0 W/cm2 was delivered to H-22 tumor cells for 1 min. The viability of cells was evaluated by typan-blue blue exclusion test. The intracellular reactive oxygen species (ROS) levels were determined by 2',7'-dichlorofluorescein diacetata (DCFH-DA). Enzymatic chemical methods were used to measure the activities of key antioxidative enzymes. The results indicated that the cell damage rate of ultrasound combined with hematoporphyrin was significantly higher than that of the treatment with ultrasound alone, and hematoporphyrin alone had no killing effect on H-22 cells. The level of ROS in cell suspension was significantly increased, and the key antioxidative enzyme activities were obviously decreased after treatment with the combined use of ultrasound and hematoporphyrin. We speculated that the decreased activities of key antioxidative enzymes in cells might be involved in mediating the killing effect on H22 cells in sonodynamic therapy.
Animals
;
Female
;
Glutathione Peroxidase
;
metabolism
;
Hematoporphyrins
;
administration & dosage
;
radiation effects
;
Liver Neoplasms, Experimental
;
enzymology
;
therapy
;
Mice
;
Mice, Inbred ICR
;
Photochemotherapy
;
methods
;
Photosensitizing Agents
;
administration & dosage
;
radiation effects
;
Superoxide Dismutase
;
metabolism
;
Ultrasonics
2.Consistency of different physicians in diagnosis of malignant breast lesions with breast CEUS predictive model: A multicenter study
Jie GONG ; Qin CHEN ; Jun LUO ; Li'na TANG ; Lichun YANG ; Zhihua LYU ; Yinrong CHENG ; Lijun YUAN ; Yan CHENG ; Shengli WANG ; Xiaorong HAN
Chinese Journal of Medical Imaging Technology 2018;34(6):874-878
Objective To explore the consistency of different physicians in diagnosis of malignant breast lesions with breast CEUS predictive model.Methods Totally 953 patients with solitary breast nodule from multicenter who underwent ultrasound and CEUS were collected.The research team was composed by the initial group (one junior physician from each hospital),check group (one or two physicians who had at least two-year experience of CEUS examination from each hospital),research group (two senior physicians from Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital) and cross-blinded group (one or two vice directors or chief physicians from each hospital).At first,the lesions were classified according to the breast imaging reporting and data system (BI RADS) by the initial group and the check group,then new BI RADS classifications were performed by research group and cross blind group with breast CEUS predictive model.The consistency of different physicians in diagnosis of malignant breast lesions was analyzed.Results Among 953 patients,benign lesions were found in 451 patients (451/953,47.32%),malignant lesions were found in 435 patients (435/953,45.65%),and precancerous lesions were found in 67 patients (67/953,7.03%).The accuracy of the initial group,check group,research group and cross-blinded group was 71.67%(683/953),74.92%(714/953),80.17% (764/953) and 83.42 % (795/953),respectively.The consistency of different physicians for diagnosis of malignant breast lesions between initial group and check group was good (Kappa =0.82,P<0.001),while between initial group and crossblinded group,initial group and research group were both moderate (Kappa =0.56,0.41;all P<0.001).The consistency of different physicians for diagnosis of malignant breast lesions between cheek group and cross-blinded group,between check group and research group were both moderate (Kappa =0.68,0.51;all P<0.001).The consistency between research group and cross-blinded group with breast CEUS predictive model was moderate (Kappa =0.74,P< 0.001).Conclusion The consistency of different physicians in diagnosis of malignant breast lesions with breast CEUS predictive model was moderate.