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| 1 | Radiomics approach for preoperative identification of stages Ⅰ-Ⅱand Ⅲ-Ⅳ of esophageal cancer显示文摘Objective: To predict preoperative staging using a radiomics approach based on computed tomography(CT)images of patients with esophageal squamous cell carcinoma(ESCC).Methods: This retrospective study included 154 patients(primary cohort: n=114; validation cohort: n=40) with pathologically confirmed ESCC. All patients underwent a preoperative CT scan from the neck to abdomen. High throughput and quantitative radiomics features were extracted from the CT images for each patient. A radiomics signature was constructed using the least absolute shrinkage and selection operator(Lasso). Associations between radiomics signature, tumor volume and ESCC staging were explored. Diagnostic performance of radiomics approach and tumor volume for discriminating between stages Ⅰ-Ⅱ and Ⅲ-Ⅳ was evaluated and compared using the receiver operating characteristics(ROC) curves and net reclassification improvement(NRI).Results: A total of 9,790 radiomics features were extracted. Ten features were selected to build a radiomics signature after feature dimension reduction. The radiomics signature was significantly associated with ESCC staging(P<0.001), and yielded a better performance for discrimination of early and advanced stage ESCC compared to tumor volume in both the primary [area under the receiver operating characteristic curve(AUC): 0.795 vs. 0.694,P=0.003; NRI=0.424)] and validation cohorts(AUC: 0.762 vs. 0.624, P=0.035; NRI=0.834).Conclusions: The quantitative approach has the potential to identify stage Ⅰ-Ⅱ and Ⅲ-Ⅳ ESCC before treatment. | Lei WU Cong Wang Xianzheng Tan Zixuan Cheng Ke Zhao Lifen Yan Yanli Liang Zaiyi Liu Changhong Liang | 2018 | Chinese Journal of Cancer Research2018，30，4： | 14 |
| 2 | Evaluation of human epidermal growth factor receptor 2 status of breast cancer using preoperative multidetector computed tomography with deep learning and handcrafted radiomics features显示文摘Objective:To evaluate the human epidermal growth factor receptor 2(HER2)status in patients with breast cancer using multidetector computed tomography(MDCT)-based handcrafted and deep radiomics features.Methods:This retrospective study enrolled 339 female patients(primary cohort,n=177;validation cohort,n=162)with pathologically confirmed invasive breast cancer.Handcrafted and deep radiomics features were extracted from the MDCT images during the arterial phase.After the feature selection procedures,handcrafted and deep radiomics signatures and the combined model were built using multivariate logistic regression analysis.Performance was assessed by measures of discrimination,calibration,and clinical usefulness in the primary cohort and validated in the validation cohort.Results:The handcrafted radiomics signature had a discriminative ability with a C-index of 0.739[95%confidence interval(95%CI):0.661-0.818]in the primary cohort and 0.695(95%CI:0.609-0.781)in the validation cohort.The deep radiomics signature also had a discriminative ability with a C-index of 0.760(95%CI:0.690-0.831)in the primary cohort and 0.777(95%CI:0.696-0.857)in the validation cohort.The combined model,which incorporated both the handcrafted and deep radiomics signatures,showed good discriminative ability with a C-index of 0.829(95%CI:0.767-0.890)in the primary cohort and 0.809(95%CI:0.740-0.879)in the validation cohort.Conclusions:Handcrafted and deep radiomics features from MDCT images were associated with HER2 status in patients with breast cancer.Thus,these features could provide complementary aid for the radiological evaluation of HER2 status in breast cancer. | Xiaojun Yang Lei Wu Ke Zhao Weitao Ye Weixiao Liu Yingyi Wang Jiao Li Hanxiao Li Xiaomei Huang Wen Zhang Yanqi Huang Xin Chen Su Yao Zaiyi Liu Changhong Liang | 2020 | Chinese Journal of Cancer Research2020，32，2： | 4 |
| 3 | The Characteristics, Motivations and Organizational Outcomes of Collective Turnover in China: An Analysis of 65 Collective Turnover Events显示文摘这份报纸分析从 2000 年发生了到 2011 的 65 个有影响的集体周转事件。首先发现是集体周转是最可能的发生在部的水平因为在一样的部门的职员趋于更容易到达集体一致。第二发现是集体周转更经常发生在象它那样的工业,零卖并且银行。第三发现是集体周转经常以经理的周转开始在部或高级。与集体周转的进一步的探索,我们注意到机构的环境在瓷器经济转变期间是集体周转,和不适当的管理政策上的外部限制是内部开车因素。我们也发现动机在组织在不同层次为雇员变化。最后,我们断定集体周转的组织上的结果是不仅与象经验应该也被考虑的相对周转比率,出现频率,雇员类型,等级和工作那样的集体周转的周转,而是优秀因素的绝对水平连接了。 | Changhong Ni Rensun Ye Mingxing Ke Yin Wu | 2015 | Frontiers of Business Research in China2015，9，1： | 4 |
| 4 | Internal solitary wave transformation over the slope:Asymptotic theory and numerical simulation显示文摘The propagation and evolution of long nonlinear internal solitary waves over slope-shelf topography is theoretically and numerically studied in a two-layer fluid system of finite depth.The variable Korteweg–de Vries(vKdV)and variable extended Korteweg–de Vries(veKdV)equations are derived for the weak and moderate nonlinear waves,respectively.The numerical method is developed from finite difference/volume(FD/FV)scheme to solve the nonlinear equations.The transformation of solitary waves is observed when they propagate past the slope.The elevation of rear face of the front wave grows with the increase of the slope inclination.The results also show that the transformed waves can be described by the steady solution of the corresponding theoretical model(vKdV,veKdV)by considering the depth condition beyond the shelf. | Changhong Zhi Ke Chen Yunxiang You | 2018 | Journal of Ocean Engineering and Science2018，3，2： | 2 |
| 5 | Coupling radiomics analysis of CT image with diversification of tumor ecosystem: A new insight to overall survival in stage Ⅰ-Ⅲ colorectal cancer显示文摘Objective: This study aimed to establish a method to predict the overall survival(OS) of patients with stage Ⅰ-Ⅲ colorectal cancer(CRC) through coupling radiomics analysis of CT images with the measurement of tumor ecosystem diversification.Methods: We retrospectively identified 161 consecutive patients with stage Ⅰ-Ⅲ CRC who had underwent radical resection as a training cohort. A total of 248 patients were recruited for temporary independent validation as external validation cohort 1, with 103 patients from an external institute as the external validation cohort 2. CT image features to describe tumor spatial heterogeneity leveraging the measurement of diversification of tumor ecosystem, were extracted to build a marker, termed the EcoRad signature. Multivariate Cox regression was used to assess the EcoRad signature, with a prediction model constructed to demonstrate its incremental value to the traditional staging system for OS prediction.Results: The EcoRad signature was significantly associated with OS in the training cohort [hazard ratio(HR)=6.670;95% confidence interval(95% CI): 3.433-12.956;P<0.001), external validation cohort 1(HR=2.866;95% CI: 1.646-4.990;P<0.001) and external validation cohort 2(HR=3.342;95% CI: 1.289-8.663;P=0.002).Incorporating the EcoRad signature into the prediction model presented a higher prediction ability(P<0.001) with respect to the C-index(0.813, 95% CI: 0.804-0.822 in the training cohort;0.758, 95% CI: 0.751-0.765 in the external validation cohort 1;and 0.746, 95% CI: 0.722-0.770 in external validation cohort 2), compared with the reference model that only incorporated tumor, node, metastasis(TNM) system, as well as a better calibration,improved reclassification and superior clinical usefulness.Conclusions: This study establishes a method to measure the spatial heterogeneity of CRC through coupling radiomics analysis with measurement of diversification of the tumor ecosystem, and suggests that this approach could effectively predict OS and could be used as a supplement for risk stratification among stage Ⅰ-Ⅲ CRC patients. | Yanqi Huang Lan He Zhenhui Li Xin Chen Chu Han Ke Zhao Yuan Zhang Jinrong Qu Yun Mao Changhong Liang Zaiyi Liu | 2022 | Chinese Journal of Cancer Research2022，34，1： | 2 |
| 6 | AFM studied the effect of celastrol on β1 integrin‐mediated HUVEC adhesion and migration显示文摘 | Changhong Ke Hua Jin Jiye Cai | 2013 | Scanning2013，，5： | 1 |
| 7 | Cinobufacini-induced HeLa cell apoptosis enhanced by curcumin显示文摘When used in combination with certain chemotherapies, curcumin has been shown to increase apoptosis in several cancer cell lines. Here, we report the combined effects of curcumin and cinobufacini on human cervical carcinoma cells. The aim of this study was to examine whether curcumin could enhance apoptosis induced by cinobufacini. 3-(4,5-Dimethylthiazol-2-y1)-2,5- diphenytetrazolium bromide (MTT) assays revealed that the growth and proliferation of HeLa cells could be inhibited by 75% after a combined treatment of 25 μg/mL cinobufacini and 8 μg/mL curcumin. The combined treatment is 3 times more effective than treatment with 25 μg/mL cinobufacini alone. Annexin V-FITC/PI staining, morphological changes and immunofluorescence verified a significant enhancement in cinobufacini-induced apoptosis when cells were also exposed to curcumin. The data showed that the proportion of early apoptotic cells significantly increased from 15.43% in cells treated only with 25 μg/mL cinobufacini to 49.2% in cells treated with 25 μg/mL cinobufacini and 8 μg/mL curcumin. Moreover, compared with treatment of only 25 μg/mL cinobufacini, ROS production increased 1.7-fold, the intracellular free Ca 2+ concentration increased 1.5-fold, and the mitochon- drial membrane potential decreased by 20% in the combined treatment. Simultaneously, the atomic force microscopy (AFM) re- sults suggest that cells treated with a combination of cinobufacini and curcumin varied significantly in shape and ultrastructure. Collapsed cells with leaking cytoplasm, blebbing pores and emerging apoptotic bodies were prevalent. The nanoparticle size increased from 70 nm when the cells were treated with 25 μg/mL cinobufacini to 190 nm when the cells were treated with 25 μg/mL cinobufacini and 8 μg/mL curcumin. The size increase resulted in the cell membrane becoming considerably rough. These results can improve our understanding of combination treatments. Specifically, the combination of cinobufacini and curcumin may potentially find use as a novel cervical carcinoma treatment. Additionally, AFM is a powerful tool that can be used to explore cellular morphologies and ultrastructures. | LIU Li JIN Hua OU JinLai JIANG JinHuan PI Jiang KE ChangHong YANG Fen QIAO DongJuan CAI HuaiHong CAI JiYe | 2013 | Chinese Science Bulletin2013，58，21： | 1 |
| 8 | Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide images显示文摘Background:In colorectal cancer(CRC),mucinous adenocarcinoma differs from other adenocarcinomas in gene-phenotype,morphology,and prognosis.However,mucinous components are present in a large number of adenocarcinomas,and the prognostic value of mucus proportion has not been investigated.Artificial intelligence provides a way to quantify mucus proportion on whole-slide images(WSIs)accurately.We aimed to quantify mucus proportion by deep learning and further investigate its prognostic value in two CRC patient cohorts.Methods:Deep learning was used to segment WSIs stained with hematoxylin and eosin.Mucus-tumor ratio(MTR)was defined as the proportion of mucinous component in the tumor area.A training cohort(N=419)and a validation cohort(N=315)were used to evaluate the prognostic value of MTR.Survival analysis was performed using the Cox proportional hazard model.Result:Patients were stratified tomucus-low andmucus-high groups,with 24.1%as the threshold.In the training cohort,patients with mucus-high had unfavorable outcomes(hazard ratio for high vs.low 1.88,95%confidence interval 1.18–2.99,P=0.008),with 5-year overall survival rates of 54.8%and 73.7%in mucus-high and mucus-lowgroups,respectively.The resultswere confirmed in the validation cohort(2.09,1.21–3.60,0.008;62.8%vs.79.8%).The prognostic value of MTR was maintained in multivariate analysis for both cohorts.Conclusion:The deep learning quantified MTR was an independent prognostic factor in CRC.With the advantages of advanced efficiency and high consistency,our method is suitable for clinical application and promotes precision medicine development. | Ke Zhao Lin Wu Yanqi Huang Su Yao Zeyan Xu Huan Lin Huihui Wang Yanting Liang Yao Xu Xin Chen Minning Zhao Jiaming Peng Yuli Huang Changhong Liang Zhenhui Li Yong Li Zaiyi Liu | 2021 | Precision Clinical Medicine2021，4，1： | 0 |
| 9 | Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer显示文摘Background:Distinguishing anorectal malignant melanoma from low rectal cancer remains challenging because of the overlap of clinical symptoms and imaging findings.We aim to investigate whether combining quantitative and qualitative magnetic resonance imaging(MRI)features could differentiate anorectal malignant melanoma from low rectal cancer.Methods:Thirty-seven anorectal malignant melanoma and 98 low rectal cancer patients who underwent preoperative rectal MRI from three hospitals were retrospectively enrolled.All patients were divided into the primary cohort(N=84)and validation cohort(N=51).Quantitative image analysiswas performed on T1-weighted(T1WI),T2-weighted(T2WI),and contrast-enhanced T1-weighted imaging(CE-T1WI).The subjective qualitative MRI findings were evaluated by two radiologists in consensus.Multivariable analysis was performed using stepwise logistic regression.The discrimination performance was assessed by the area under the receiver operating characteristic curve(AUC)with a 95%confidence interval(CI).Results:The skewness derived from T2WI(T2WI-skewness)showed the best discrimination performance among the entire quantitative image features for differentiating anorectal malignant melanoma from low rectal cancer(primary cohort:AUC=0.852,95%CI 0.788–0.916;validation cohort:0.730,0.645–0.815).Multivariable analysis indicated that T2WI-skewness and the signal intensity of T1WI were independent factors,and incorporating both factors achieved good discrimination performance in two cohorts(primary cohort:AUC=0.913,95%CI 0.868–0.958;validation cohort:0.902,0.844–0.960).Conclusions:Incorporating T2WI-skewness and the signal intensity of T1WI achieved good performance for differentiating anorectal malignant melanoma from low rectal cancer.The quantitative image analysis helps improve diagnostic accuracy. | Zeyan Xu Ke Zhao Lujun Han Pinxiong Li Zhenwei Shi Xiaomei Huang Chu Han Huihui Wang Minglei Chen Chen Liu Yanting Liang Suyun Li Yanqi Huang Xin Chen Changhong Liang Wuteng Cao Zaiyi Liu | 2021 | Precision Clinical Medicine2021，4，2： | 0 |
| 10 | Aged hematopoietic stem cells entrap regulatory T cells to create a prosurvival microenvironment显示文摘Although DNA mutation drives stem cell aging,how mutation-accumulated stem cells obtain clonal advantage during aging remains poorly understood.Here,using a mouse model of irradiation-induced premature aging and middle-aged mice,we show that DNA mutation accumulation in hematopoietic stem cells(HSCs)during aging upregulates their surface expression of major histocompatibility complex class II(MHCII).MHCII upregulation increases the chance for recognition by bone marrow(BM)-resident regulatory T cells(Tregs),resulting in their clonal expansion and accumulation in the HSC niche.On the basis of the establishment of connexin 43(Cx43)-mediated gap junctions,BM Tregs transfer cyclic adenosine monophosphate(cAMP)to aged HSCs to diminish apoptotic priming and promote their survival via activation of protein kinase A(PKA)signaling.Importantly,targeting the HSC–Treg interaction or depleting Tregs effectively prevents the premature/physiological aging of HSCs.These findings show that aged HSCs use an active self-protective mechanism by entrapping local Tregs to construct a prosurvival niche and obtain a clonal advantage. | Weinian Liao Chaonan Liu Ke Yang Jun Chen Yiding Wu Shuzhen Zhang Kuan Yu Lisha Wang Li Ran Mo Chen Fang Chen Yang Xu Song Wang Fengchao Wang Qian Zhang Jinghong Zhao Lilin Ye Changhong Du Junping Wang | 2023 | Cellular & Molecular Immunology2023，20，10： | 0 |
| 11 | Prognostic value of a modified Immunoscore in patients with stage Ⅰ-Ⅲ resectable colon cancer显示文摘Objective: The Immunoscore method has proved fruitful for predicting prognosis in patients with colon cancer.However, there is still room for improvement in this scoring method to achieve further advances in its clinical translation. This study aimed to develop and validate a modified Immunoscore(IS-mod) system for predicting overall survival(OS) in patients with stage Ⅰ-Ⅲ colon cancer.Methods: The IS-mod was proposed by counting CD3+ and CD8+ immune cells in regions of the tumor core and its invasive margin by drawing two lines of interest. A discovery cohort(N=212) and validation cohort(N=103)from two centers were used to evaluate the prognostic value of the IS-mod.Results: In the discovery cohort, 5-year survival rates were 88.6% in the high IS-mod group and 60.7% in the low IS-mod group. Multivariate analysis confirmed that the IS-mod was an independent prognostic factor for OS[adjusted hazard ratio(HR)=0.36, 95% confidence interval(95% CI): 0.20-0.63]. With less annotation and computation cost, the IS-mod achieved performance comparable to that of the Immunoscore-like(IS-like) system(C-index, 0.676 vs. 0.661, P=0.231). The 2-category IS-mod using 47.5% as the threshold had a better prognostic value than that using a fixed threshold of 25%(C-index, 0.653 vs. 0.573, P=0.004). Similar results were confirmed in the validation cohort.Conclusions: Our method simplifies the annotation and accelerates the calculation of Immunoscore method,thus making it easier for clinical implementation. The IS-mod achieved comparable prognostic performance when compared to the IS-like system in both cohorts. Besides, we further found that even with a small reference set(N≥120), the IS-mod still demonstrated a stable prognostic value. This finding may inspire other institutions to develop a local reference set of an IS-mod system for more accurate risk stratification of colon cancer. | Ke Zhao Xiaomei Wu Zhenhui Li Yingyi Wang Zeyan Xu Yajun Li Lin Wu Su Yao Yanqi Huang Changhong Liang Zaiyi Liu | 2021 | Chinese Journal of Cancer Research2021，33，3： | 0 |
| 12 | Neurotrophins and neural stem cells in posttraumatic brain injury repair显示文摘Traumatic brain injury(TBI)is the main cause of disability,mental health disorder,and even death,with its incidence and social costs rising steadily.Although different treatment strategies have been developed and tested to mitigate neurological decline,a definitive cure for these conditions remains elusive.Studies have revealed that vari-ous neurotrophins represented by the brain-derived neurotrophic factor are the key regulators of neuroinflammation,apoptosis,blood-brain barrier permeability,neurite regeneration,and memory function.These factors are instrumental in alleviating neu-roinflammation and promoting neuroregeneration.In addition,neural stem cells(NSC)contribute to nerve repair through inherent neuroprotective and immunomodulatory properties,the release of neurotrophins,the activation of endogenous NSCs,and in-tercellular signaling.Notably,innovative research proposals are emerging to combine BDNF and NSCs,enabling them to synergistically complement and promote each other in facilitating injury repair and improving neuron differentiation after TBI.In this review,we summarize the mechanism of neurotrophins in promoting neurogen-esis and restoring neural function after TBI,comprehensively explore the potential therapeutic effects of various neurotrophins in basic research on TBI,and investigate their interaction with NSCs.This endeavor aims to provide a valuable insight into the clinical treatment and transformation of neurotrophins in TBI,thereby promoting the progress of TBI therapeutics. | Wenwen Guo Ke Liu Yinghua Wang Xu Ge Yifan Ma Jing Qin Caiqin Zhang Ya Zhao Changhong Shi | 2024 | Animal Models and Experimental Medicine2024，7，1： | 0 |
| 13 | Study design of deep learning based automatic detection of cerebrovascular diseases on medical imaging: a position paper from Chinese Association of Radiologists显示文摘In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually entering into clinical practice.However,because of the complexity and flexibility of the deep learning algorithms,these researches have great variability on model building,validation process,performance description and results interpretation.The lack of a reliable,consistent,standardized design protocol has,to a certain extent,affected the progress of clinical translation and technology development of computer aided detection systems.After reviewing a large number of literatures and extensive discussion with domestic experts,this position paper put forward recommendations of standardized design on the key steps of deep learning-based automatic image detection models for cerebrovascular diseases.With further research and application expansion,this position paper would continue to be updated and gradually extended to evaluate the generalizability and clinical application efficacy of such tools. | Longjiang Zhang Zhao Shi Min Chen Yingmin Chen Jingliang Cheng Li Fan Nan Hong Wenxiao Jia Guihua Jiang Shenghong Ju Xiaogang Li Xiuli Li Changhong Liang Weihua Liao Shiyuan Liu Zaiming Lu Lin Ma Ke Ren Pengfei Rong Bin Song Gang Sun Rongpin Wang Zhibo Wen Haibo Xu Kai Xu Fuhua Yan Yizhou Yu Yunfei Zha Fandong Zhang Minwen Zheng Zhen Zhou Wenzhen Zhu Guangming Lu Zhengyu Jin on behalf of Chinese Association of Radiologists | 2022 | Intelligent Medicine2022，2，4： | 0 |
| 14 | WiBPA:An Efficient Data Integrity Auditing Scheme Without Bilinear Pairings显示文摘The security of cloud data has always been a concern.Cloud server provider may maliciously tamper or delete user’s data for their own benefit,so data integrity audit is of great significance to verify whether data is modified or not.Based on the general three-party audit architecture,a dynamic auditing scheme without bilinear pairings is proposed in this paper.It utilizes exponential operation instead of bilinear mapping to verify the validity of evidence.By establishing the mapping relation between logic index and tag index of data block with index transformation table,our scheme can easily support dynamic data operation.By hiding random numbers in the integrity evidence,our scheme can protect users’privacy information.Detailed security analysis shows that our scheme is secure against attacks such as forgery,replaying and substitution.Further experiments demonstrate that our scheme has lower computational overhead. | Chunhua Li Peng Wang Changhong Sun Ke Zhou Ping Huang | 2019 | Computers, Materials & Continua2019，，2： | 0 |
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