1.Arsenic trioxide inhibition of tumor growth of subcutaneously implanted human breast cancer cells and its mechanism
Zhibo QU ; Lianxin LIU ; Wei CHEN ; Huaxin GUO ; Haiyan YANG ; Shangha PAN
Chinese Journal of General Surgery 1993;0(01):-
Objective To study the inhibitory effect of arsenic trioxide(As_2O_3) on the tumor growth of breast cancer cell line MCF-7 implanted subcutaneously in nude mice and its mechanism.Methods BALB/C-nu/nu nude mice were subcutaneously injected with MCF-7 breast cancer cell line,and treated with intraperitoneal injection of As_2O_3 and 5-FU in different concentrations.The implanted tumor was weighed,and the tumor inhibition rates were calculated.The apoptosis of the implanted tumor was detected by flow cytometry.The expressions of bcl-2 and Fas induced by As_2O_3 were examined by immunohistochemical method.Routine blood test and bone marrow test were used to observe the function of hematopoietic system after As_2O_3 treatment.Results The growth of implanted tumor was markedly inhibited with 5-FU,low dose and high dose As_2O_3,the inhibitory rates being 38.33%、51.42% and 62.43%,respectively.The inhibitory effect of As_2O_3 was significantly stronger than that of 5-FU(P
2.Neuronavigation-assisted microsurgical resection for gliomas in eloquent areas of brain.
Jiayu GU ; Tianyu HU ; Yuejiao SU ; Shanqiang QU ; Zhibo. XIA
Chinese Journal of Nervous and Mental Diseases 2019;45(2):96-100
Objective To investigate the advantage of neuronavigation assisted microsurgical resection of gliomas in eloquent areas of brain. Methods The clinical data of 99 patients with gliomas in eloquent areas of brain and underwent microsurgery in the First Affiliated Hospital of Sun Yat-sen University from January 2012 to December 2017 were analyzed retrospectively. All patients were divided into two groups: neuronavigator-guided microsurgery group (neuronavigation group,46 cases) and non-neuronavigator-guided microsurgery group (non-neuronavigation group,53 cases). The neuronavigation group received neuronavigation assisted microsurgery, while the non-neuronavigation group received general microsurgery. MRI examination, Karnofsky performance scale (KPS) score and symptomatic improvement rate were used to analyze the extent of resection and postoperative function. Results The total resection rate of neuronavigation group was 91.3% (42/46). Comparing with 73.6% (39/53) total resection rate in non-neuronavigation group,the difference of total resection rate was statistically significant (Z=-2.343,P<0.05). The postoperative symptoms improved both in neuronavigation group and non-neuronavigation group,and the KPS score at discharge were higher than that before operation (P<0.05). No aggravation of symptoms and signs or new complications occurred in all patients except one case of postoperative muscle strength decline in non-neuronavigation group after the surgery. According to tumor size,the total resection rate of neuronavigation group and non-neuronavigation group among patients whose maximum size of tumor≥3cm were 89.5%(34/38) and 72.5%(37/51) respectively. The difference of total resection rate was statistically significant between these two groups (Z=-2.040,P<0.05). Conclusion Neuronavigation assisted microsurgical resection of gliomas in brain eloquent areas can improve the rate of total resection and postoperative quality of life without increase in postoperative complications.
3.The value of wholeGtumor texture analysis of contrastGenhanced T1 WI in differentiating cystic glioma from brain abscess
Yaoming QU ; Xianlong WANG ; Hao YU ; Wenyan HUANG ; Jianbin ZHU ; Zhibo WEN
Journal of Practical Radiology 2019;35(6):857-860,868
Objective To evaluate the feasibility of wholeGtumor texture analysis of contrastGenhanced T1 WI (T1 Ce)in differentiating cystic glioma (CG)from brain abscess (BA).Methods MRI data of 25 cases of ringGenhanced CG and 24 cases of BA proven pathologically were retrospectively studied.All the patients underwent preGsurgery MRI plain and contrastGenhanced scans.FireVoxel software was used to outline the ROI of the wholeGtumor.The signal intensity histogram and related texture parameters of the 3D ROI were obtained,including mean, median,standard deviation,inhomogeneity,skewness,kurtosis and entropy.The data were first tested for normality and the differences in wholeG tumor texture analysis parameters of T1 Ce between CGs and BAs were compared using the independentGsample t test(normal distribution)and MannGWhitney rank sum test (skewed distribution).ROC curve was used to evaluate the efficacy of the parameter in differentiating CG from BA.Results There were statistical significances in the parameters of mean,median,standard deviation,inhomogeneity and skewness between CGs and BAs(P<0.05),and there were no any statistical significances in kurtosis and entropy between CGs and BAs(P>0.05).In all the texture parameters,the AUC of inhomogeneity was the largest(0.988),and when the threshold was 0.314, the sensitivity and the specificity were 92.60% and 9 7.1 0%,respectively.Conclusion Some of the quantitative parameters of the wholeGtumor texture analysis of T1 Ce(mean,median,standard deviation,inhomogeneity and skewness)could provide reliable and objective evidences for imaging differential diagnosis of CG and BA preGsurgery.
4.Prediction of 1p/19q codeletion status in diffuse lower-grade glioma using multimodal MRI radiomics.
Mingjun LU ; Yaoming QU ; Andong MA ; Jianbin ZHU ; Xue ZOU ; Gengyun LIN ; Yuxin LI ; Xinzi LIU ; Zhibo WEN
Journal of Southern Medical University 2023;43(6):1023-1028
OBJECTIVE:
To develop a noninvasive method for prediction of 1p/19q codeletion in diffuse lower-grade glioma (DLGG) based on multimodal magnetic resonance imaging (MRI) radiomics.
METHODS:
We collected MRI data from 104 patients with pathologically confirmed DLGG between October, 2015 and September, 2022. A total of 535 radiomics features were extracted from T2WI, T1WI, FLAIR, CE-T1WI and DWI, including 70 morphological features, 90 first order features, and 375 texture features. We constructed logistic regression (LR), logistic regression least absolute shrinkage and selection operator (LRlasso), support vector machine (SVM) and Linear Discriminant Analysis (LDA) radiomics models and compared their predictive performance after 10-fold cross validation. The MRI images were reviewed by two radiologists independently for predicting the 1p/19q status. Receiver operating characteristic curves were used to evaluate classification performance of the radiomics models and the radiologists.
RESULTS:
The 4 radiomics models (LR, LRlasso, SVM and LDA) achieved similar area under the curve (AUC) in the validation dataset (0.833, 0.819, 0.824 and 0.819, respectively; P>0.1), and their predictive performance was all superior to that of resident physicians of radiology (AUC=0.645, P=0.011, 0.022, 0.016, 0.030, respectively) and similar to that of attending physicians of radiology (AUC=0.838, P>0.05).
CONCLUSION
Multiparametric MRI radiomics models show good performance for noninvasive prediction of 1p/19q codeletion status in patients with in diffuse lower-grade glioma.
Humans
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Magnetic Resonance Imaging
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Chromosome Aberrations
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Area Under Curve
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Glioma/genetics*
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ROC Curve