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| 1 | Early prediction of pathological outcomes to neoadjuvant chemotherapy in breast cancer patients using automated breast ultrasound显示文摘Objective: Early assessment of response to neoadjuvant chemotherapy(NAC) for breast cancer allows therapy to be individualized.The optimal assessment method has not been established.We investigated the accuracy of automated breast ultrasound(ABUS) to predict pathological outcomes after NAC.Methods: A total of 290 breast cancer patients were eligible for this study.Tumor response after 2 cycles of chemotherapy was assessed using the product change of two largest perpendicular diameters(PC) or the longest diameter change(LDC).PC and LDC were analyzed on the axial and the coronal planes respectively.Receiver operating characteristic(ROC) curves were used to evaluate overall performance of the prediction methods.Youden's indexes were calculated to select the optimal cut-off value for each method.Sensitivity, specificity,positive and negative predictive values(PPV and NPV) and the area under the ROC curve(AUC) were calculated accordingly.Results: yp T0/is was achieved in 42 patients(14.5%) while yp T0 was achieved in 30 patients(10.3%) after NAC.All four prediction methods(PC on axial planes, LDC on axial planes, PC on coronal planes and LDC on coronal planes) displayed high AUCs(all>0.82), with the highest of 0.89 [95% confidence interval(95% CI), 0.83–0.95]when mid-treatment ABUS was used to predict final pathological complete remission(p CR).High sensitivities(85.7%–88.1%) were observed across all four prediction methods while high specificities(81.5%–85.1%) were observed in two methods used PC.The optimal cut-off values defined by our data replicate the WHO and the RECIST criteria.Lower AUCs were observed when mid-treatment ABUS was used to predict poor pathological outcomes.Conclusions: ABUS is a useful tool in early evaluation of p CR after NAC while less reliable when predicting poor pathological outcomes. | Xinguang Wang Ling Huo Yingjian He Zhaoqing Fan Tianfeng Wang Yuntao Xie Jinfeng Li Tao Ouyang | 2016 | Chinese Journal of Cancer Research2016，28，5： | 11 |
| 2 | Effect of solution cooling rate on the microstructure and creep deformation mechanism of a rhenium-free second-generation single crystal superalloy显示文摘Various cooling scenarios(water,oil,air and furnace)were employed to study the impacts of the solution cooling rate(SCR)on the microstructure and creep behavior of a novel single-crystal(SX)superalloy.The results showed that the cubic degree and size of theγphases were inversely proportional to the SCR.The creep life first increased and then dropped dramatically with a reduction in the SCR.The creep life of the sample cooled with air cooling(AC)was the highest,up to 144.90 h at 800℃/750 MPa and160.15 h at 1100℃/137 MPa.During creep at 800℃/750 MPa,the improved creep life of the AC sample was mainly attributed to the fine cubicγphases,which decreased the rate ofγ-phase coarsening and favoured plastic deformation by promoting the active movement of dislocations.The AC helped theγphases become rich in Al,Ti and Ta while depleted in Co and Cr,which enhanced its stacking fault energy,thus promoting the formation of dislocation locks.Meanwhile,the largest negative lattice misfit caused by AC induced denserγ/γinterface dislocation networks at 1100℃/137 MPa,which efficiently reduced the minimum creep rate.The calculated average dislocation spacing results indicated that the smallest density of excess dislocations corresponded to the AC sample,proving its greatest creep resistance.Interestingly,the size of the secondaryγphases first decreased and then increased sharply with decreasing SCR during creep at 1100℃/137 MPa,when fine secondaryγphases had a positive role in the blockage of dislocation movement in the matrix.Eventually,the comprehensive SCR effect was explored to provide more guidance in the design of Re-free SX superalloys. | Xipeng Tao Yunling Du Xinguang Wang Jie Meng Yizhou Zhou Jinguo Li Xiaofeng Sun | 2022 | Journal of Materials Science & Technology2022，，36： | 3 |
| 3 | Microstructure evolution and mechanical behavior of Ni-based single crystal superalloy joint brazed with mixed powder at elevated temperature显示文摘Brazing of a Ni-based single crystal superalloy has been investigated with the additive Ni-based superalloy and filler Ni–Cr–W–B alloy at 1260℃, and attentions were paid to the microstructure evolution during brazing and the stress-rupture behavior at 980℃ of such brazed joints after homogenization. Microstructure in the brazed joint generally includes brazing alloy zone(BAZ), isothermally solidified zone(ISZ) and diffusion affected zone(DAZ). Microstructure evolution during this brazing process is discussed at the heating stage, the holding stage and the cooling stage respectively, according to the diffusion path of B atoms. Initially well-distributed γ’/γ’ microstructure in the homogenized bonded zone after heat treatment and substantial γ’ rafts enhance the post-brazed joint to obtain a stress-rupture lifetime of more than 120 h at 980℃/250 MPa. On the other hand, the decreased stress-rupture behavior of post-brazed joint, compared with parenting material, is ascribed to the presence of inside brazing porosity and stray grain boundary, which not only reduces the effective loading-carrying area but also offers preferential sites for creep vacancy aggregation to further soften stray grain boundary. And finally an early fracture of these post-brazed joints through the intergranular microholes aggregation and growth mode under this testing condition was observed. | Guanglei Wang Yuan Sun Xinguang Wang Jide Liu Jinlai Liu Jinguo Li Jinjiang Yu Yizhou Zhou Tao Jin Xudong Sun Xiaofeng Sun | 2017 | Journal of Materials Science & Technology2017，33，10： | 2 |
| 4 | CACA guidelines for holistic integrative management of glioma显示文摘Glioma of the brain is a kind of tumor originating from neuroglial cells.It is the most common primary intracranial tumor,accounting for~30%of all central nervous system tumors and 80% of malignant brain tumors.Glioma is characterized by high disability and recurrence rates.The disease seriously threatens the life of patients,afects their quality of life,and brings a heavy economic and psychological burden to patients,families,and society.With the progression of molecular genetic testing technology and the completion of various clinical trials,the classifcation scheme for glioma is increasingly well established.Diagnosis and treatment regimens,including traditional and new regimens,are becoming increasingly specialized and standardized.The purpose is to develop a clinical diagnosis and treatment guideline for glioma in the Chinese population suitable for Chinese doctors and the general population based on domestic and international glioma research progress.Thus,domestic practitioners in the feld can obtain current information and provide better service to patients with glioma,promoting the development of domestic clinical medicine and basic research on glioma. | Daiming Fan Tao Jiang Wenbin Ma Chuanlu Jiang Yongping You Ying Mao Xiaoguang Qiu Chunsheng Kang Gang Li Qing Mao Xuejun Yang Zhiyong Qin Zhixiong Liu Weimin Wang Xinting Wei Wenbin Li Yunhui Liu Rutong Yu Xinguang Yu Dezhi Kang Yonggao Mou Lei Wang Wei Zhang Zhaoshi Bao Ruichao Chai Baoshi Chen Xing Fan Shengyu Fang Guanzhang Li Lianwang Li Shouwei Li Xing Liu Yanwei Liu Xia Shan Liang Wang Yinyan Wang Yu Wang Zheng Wang Zhiliang Wang Chenxing Wu Wei Yan Pei Yang Gan You Chuanbao Zhang Zhong Zhang Zheng Zhao | 2022 | Holistic Integrative Oncology2022，1，1： | 0 |
| 5 | An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for Electrical Equipment Instance Segmentation显示文摘The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low precision.Because of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation mode.Firstly,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance segmentation.Experimental results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 model.The segmentation model proposed can provide a focusing technical means for the intelligent management of power systems. | Junpeng Wu Zhenpeng Liu Xingfan Jiang Xinguang Tao Ye Zhang | 2024 | Computers, Materials & Continua2024，78，1： | 0 |
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