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3,206 results on '"Tian, Mei"'

51. A resource-efficient deep learning framework for low-dose brain PET image reconstruction and analysis

Author

Fu, Yu, Dong, Shunjie, Liao, Yi, Xue, Le, Xu, Yuanfan, Li, Feng, Yang, Qianqian, Yu, Tianbai, Tian, Mei, and Zhuo, Cheng

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning
Abstract

18F-fluorodeoxyglucose (18F-FDG) Positron Emission Tomography (PET) imaging usually needs a full-dose radioactive tracer to obtain satisfactory diagnostic results, which raises concerns about the potential health risks of radiation exposure, especially for pediatric patients. Reconstructing the low-dose PET (L-PET) images to the high-quality full-dose PET (F-PET) ones is an effective way that both reduces the radiation exposure and remains diagnostic accuracy. In this paper, we propose a resource-efficient deep learning framework for L-PET reconstruction and analysis, referred to as transGAN-SDAM, to generate F-PET from corresponding L-PET, and quantify the standard uptake value ratios (SUVRs) of these generated F-PET at whole brain. The transGAN-SDAM consists of two modules: a transformer-encoded Generative Adversarial Network (transGAN) and a Spatial Deformable Aggregation Module (SDAM). The transGAN generates higher quality F-PET images, and then the SDAM integrates the spatial information of a sequence of generated F-PET slices to synthesize whole-brain F-PET images. Experimental results demonstrate the superiority and rationality of our approach.

Published
2022

55. The Aging Biomarker Consortium represents a new era for aging research in China

Author

Ren, Jie, Song, Moshi, Zhang, Weiqi, Cai, Jian-Ping, Cao, Feng, Cao, Zhongwei, Chan, Piu, Chen, Chang, Chen, Guobing, Chen, Hou-Zao, Chen, Jun, Chen, Xiao-Chun, Ci, Weimin, Ding, Bi-Sen, Ding, Qiurong, Gao, Feng, Gao, Shaorong, Han, Jing-Dong J., He, Qi-Yang, Huang, Kai, Ju, Zhenyu, Kong, Qing-Peng, Li, Ji, Li, Jian, Li, Jingyi, Li, Xin, Liu, Baohua, Liu, Feng, Liu, Jun-Ping, Liu, Lin, Liu, Qiang, Liu, Qiang, Liu, Xingguo, Liu, Yong, Luo, Xianghang, Ma, Shuai, Ma, Xinran, Mao, Zhiyong, Nie, Jing, Peng, Yaojin, Qu, Jing, Ren, Ruibao, Song, Weihong, Songyang, Zhou, Sun, Liang, Sun, Yi Eve, Sun, Yu, Tian, Mei, Tian, Xiao-Li, Tian, Ye, Wang, Jianwei, Wang, Shusen, Wang, Si, Wang, Wengong, Wang, Xia, Wang, Xiaoning, Wang, Yan-Jiang, Wang, Yunfang, Wong, Catherine C. L., Xiang, Andy Peng, Xiao, Yichuan, Xiao, Zhi-Xiong, Xie, Zhengwei, Xiong, Wei, Xu, Daichao, Yang, Ze, Ye, Jing, Yu, Wei, Yue, Rui, Zhang, Cuntai, Zhang, Hongbo, Zhang, Liang, Zhang, Xinchao, Zhang, Yong, Zhang, Yun-Wu, Zhang, Zhuohua, Zhao, Tongbiao, Zhao, Yuzheng, Zhou, Zhongjun, Zhu, Dahai, Zou, Weiguo, Pei, Gang, and Liu, Guang-Hui

Published
2023
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57. Characteristics of Dynamic Adsorption at Ultra-Low Temperatures for Xenon

Author

LONG Bin, ZHOU Guo-qing, FENG Shu-juan, CHEN Wei, TIAN Mei, ZHANG Yang, and DU Ji-xing

Subjects
xenon, dynamic adsorption, ultra-low temperature, Nuclear engineering. Atomic power, TK9001-9401, Chemical technology, TP1-1185
Abstract

Temperature swing adsorption is one of most important means of the enrichment of xenon, and temperature is an important factor affecting adsorbent performance for xenon. In this paper, the dynamic adsorption experimental platform at ultra-low temperatures was designed, based on which the adsorption characteristics of carbon molecular sieve for xenon was studied within the temperature range of -110 ℃ to -60 ℃. The effects of xenon volume fraction, gas flow rate, inlet pressure, and inner diameter of the adsorption column on xenon adsorption performance were analyzed at -110 ℃. The results show that at -110 ℃, the volume fraction of xenon and flow rate have the most significant effects on the dynamic adsorption coefficient of xenon, while the effects of the inlet pressure and the inner diameter of the adsorption column are less than the above two factors within a certain range.

Published
2023
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70. Bortezomib in previously treated phosphatase and tension homology‐deficient patients with advanced intrahepatic cholangiocarcinoma: An open‐label, prospective and single‐centre phase II trial

Author

Tian‐mei Zeng, Tian‐yi Jiang, Guang Yang, Zhuo Cheng, Cheng Lou, Wei Wei, Chen‐jie Tao, Shouzi Hu, Hui Wang, Xiao‐wen Cui, Ye‐xiong Tan, Li‐wei Dong, Hong‐yang Wang, and Zhen‐gang Yuan

Subjects
bortezomib, intrahepatic cholangiocarcinoma, PTEN, Medicine (General), R5-920
Abstract

Abstract Introduction Intrahepatic cholangiocarcinoma (ICC) is characterized by a dismal prognosis with limited therapeutic alternatives. To explore phosphatase and tension homolog (PTEN) as a biomarker for proteasome inhibition in ICC, we conducted a phase II trial to assess the second‐line efficacy of bortezomib in PTEN‐deficient advanced ICC patients. Methods A total of 130 patients with advanced ICC in our centre were screened by PTEN immunohistochemical staining between 1 July 2017, and 31 December 2021, and 16 patients were ultimately enrolled and treated with single‐agent bortezomib 1.3 mg/m2 on days 1, 4, 8 and 11 of a 21‐day cycle. The primary endpoint was the objective response rate (ORR) according to Response Evaluation Criteria in Solid Tumors v1.1. Results The median follow‐up was 6.55 months (95% confidence interval [CI]: 0.7–19.9 months). Among the 16 enrolled patients, the ORR was 18.75% (3/16) and the disease control rate was 43.75% (7/16). The median progress‐free survival was 2.95 months (95% CI: 2.1–5.1 months) and the median overall survival (mOS) was 7.2 months (95% CI: 0.7–21.6 months) in the intent‐to‐treat‐patients. Treatment‐related adverse events of any grade were reported in 16 patients, with thrombopenia being the most common toxicity. Patients with PTEN staining scores of 0 were more likely to benefit from bortezomib than those with staining scores > 0. Conclusions Bortezomib yielded an encouraging objective response and a favourable OS as a second‐line agent in PTEN‐deficient ICC patients. Our findings suggest bortezomib as a promising therapeutic option for patients with PTEN‐deficient ICC. Highlights There is a limited strategy for the second‐line option of intrahepatic cholangiocarcinoma (ICC). This investigator‐initiated phase 2 study evaluated bortezomib in ICC patients with phosphatase and tension homology deficiency. The overall response rate was 18.75% and the overall survival was 7.2 months in the intent‐to‐treat cohort. These results justify further developing bortezomib in ICC patients with PTEN deficiency.

Published
2024
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71. Relationships between depression, loneliness and pathological Internet use in adolescents: A cross-lagged analysis

Author

Fang, Xin, Tian, Mei, Wang, Ruihua, and Wang, Peng

Subjects
Loneliness -- Health aspects, Depression, Mental -- Risk factors, Pathological Internet Use -- Complications and side effects, Teenagers -- Psychological aspects -- Technology application -- Health aspects, Youth -- Psychological aspects -- Technology application -- Health aspects, Technology application, Psychology and mental health
Abstract

This research aimed to figure out the relationships between depression, loneliness and pathological Internet use by testing 677 middle school students (M.sub.age = 12.12, SD = 0.79) and making a three-wave cross-lagged analysis. The total measuring time was two years, with a time interval of one year. The results showed the following: (1) There were significantly positive relationships between depression, loneliness and pathological Internet use at three time points; (2) Depression at T1 and T2 could significantly and positively predict pathological Internet use at T2 and T3, while loneliness could not. Pathological Internet use at T1 could significantly and positively predict the feelings of depression and loneliness at T2, while pathological Internet use at T2 could not significantly and positively predict the feelings of depression and loneliness at T3. Thus, results were inconclusive regarding whether PIU led to later psychiatric symptoms. This complex interactions varied with time and did not vary with gender. The findings show important significance for promotion of adolescents' psychology development and the prevention of pathological Internet use., Author(s): Xin Fang [sup.1] [sup.2] , Mei Tian [sup.3] , Ruihua Wang [sup.3] , Peng Wang [sup.1] Author Affiliations: (1) grid.410585.d, 0000 0001 0495 1805, Department of Psychology, Shandong Normal [...]

Published
2023
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72. IL-17 in osteoarthritis: A narrative review

Author

Xiao Juan, Zhang Ping, Cai Fang-Lan, Luo Cheng-Gen, Pu Tao, Pan Xiao-Li, and Tian Mei

Subjects
osteoarthritis, interleukin-17, joint cartilage, synovium, target, Biology (General), QH301-705.5
Abstract

Osteoarthritis (OA) is a painful joint disease that is common among the middle-aged and elderly populations, with an increasing prevalence. Therapeutic options for OA are limited, and the pathogenic mechanism of OA remains unclear. The roles of cytokines and signaling pathways in the development of OA is a current research hot spot. Interleukin (IL)-17 is a pleiotropic inflammatory cytokine produced mainly by T helper 17 cells that has established roles in host defense, tissue repair, lymphoid tissue metabolism, tumor progression, and pathological processes of immune diseases, and studies in recent years have identified an important role for IL-17 in the progression of OA. This narrative review focuses on the mechanisms by which IL-17 contributes to articular cartilage degeneration and synovial inflammation in OA and discusses how IL-17 and the IL-17 signaling pathway affect the pathological process of OA. Additionally, therapeutic targets that have been proposed in recent years based on IL-17 and its pathway in OA are summarized as well as recent advances in the study of IL-17 pathway inhibitors and the potential challenges of their use for OA treatment.

Published
2023
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75. IGSF8 is an innate immune checkpoint and cancer immunotherapy target

Author

Li, Yulong, Wu, Xiangyang, Sheng, Caibin, Liu, Hailing, Liu, Huizhu, Tang, Yixuan, Liu, Chao, Ding, Qingyang, Xie, Bin, Xiao, Xi, Zheng, Rongbin, Yu, Quan, Guo, Zengdan, Ma, Jian, Wang, Jin, Gao, Jinghong, Tian, Mei, Wang, Wei, Zhou, Jia, Jiang, Li, Gu, Mengmeng, Shi, Sailing, Paull, Michael, Yang, Guanhua, Yang, Wei, Landau, Steve, Bao, Xingfeng, Hu, Xihao, Liu, X. Shirley, and Xiao, Tengfei

Published
2024
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79. RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection

Author

Dong, Shunjie, Yang, Qianqian, Fu, Yu, Tian, Mei, and Zhuo, Cheng

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

The novel 2019 Coronavirus (COVID-19) infection has spread world widely and is currently a major healthcare challenge around the world. Chest Computed Tomography (CT) and X-ray images have been well recognized to be two effective techniques for clinical COVID-19 disease diagnoses. Due to faster imaging time and considerably lower cost than CT, detecting COVID-19 in chest X-ray (CXR) images is preferred for efficient diagnosis, assessment and treatment. However, considering the similarity between COVID-19 and pneumonia, CXR samples with deep features distributed near category boundaries are easily misclassified by the hyper-planes learned from limited training data. Moreover, most existing approaches for COVID-19 detection focus on the accuracy of prediction and overlook the uncertainty estimation, which is particularly important when dealing with noisy datasets. To alleviate these concerns, we propose a novel deep network named {\em RCoNet$^k_s$} for robust COVID-19 detection which employs {\em Deformable Mutual Information Maximization} (DeIM), {\em Mixed High-order Moment Feature} (MHMF) and {\em Multi-expert Uncertainty-aware Learning} (MUL). With DeIM, the mutual information (MI) between input data and the corresponding latent representations can be well estimated and maximized to capture compact and disentangled representational characteristics. Meanwhile, MHMF can fully explore the benefits of using high-order statistics and extract discriminative features of complex distributions in medical imaging. Finally, MUL creates multiple parallel dropout networks for each CXR image to evaluate uncertainty and thus prevent performance degradation caused by the noise in the data.

Published
2021

80. Uncertainty Inspired Autism Spectrum Disorder Screening

Author

Zhang, Ying, Huang, Yaping, Qi, Jiansong, Zhang, Sihui, Tian, Mei, Tian, Yi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Greenspan, Hayit, editor, Madabhushi, Anant, editor, Mousavi, Parvin, editor, Salcudean, Septimiu, editor, Duncan, James, editor, Syeda-Mahmood, Tanveer, editor, and Taylor, Russell, editor

Published
2023
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81. The Impact of English Proficiency on the Sociocultural and Academic Adaptation of Chinese Students in Short-term Exchange Programs: The Mediating Effects of Cultural Intelligence

Author

Yao, Dandan, Tian, Mei, Gao, Xuesong, Series Editor, Andrews, Stephen, Editorial Board Member, Burns, Anne, Editorial Board Member, Butler, Yuko Goto, Editorial Board Member, Canagarajah, Suresh, Editorial Board Member, Cummins, Jim, Editorial Board Member, Goh, Christine C. M., Editorial Board Member, Hawkins, Margaret, Editorial Board Member, Huhua, Ouyang, Editorial Board Member, Kirkpatrick, Andy, Editorial Board Member, Legutke, Michael K., Editorial Board Member, Leung, Constant, Editorial Board Member, Norton, Bonny, Editorial Board Member, Shohamy, Elana, Editorial Board Member, Wen, Qiufang, Editorial Board Member, Jun Zhang, Lawrence, Editorial Board Member, Sahlane, Ahmed, editor, and Pritchard, Rosalind, editor

Published
2023
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86. Biomarkers of aging

Author

Bao, Hainan, Cao, Jiani, Chen, Mengting, Chen, Min, Chen, Wei, Chen, Xiao, Chen, Yanhao, Chen, Yu, Chen, Yutian, Chen, Zhiyang, Chhetri, Jagadish K., Ding, Yingjie, Feng, Junlin, Guo, Jun, Guo, Mengmeng, He, Chuting, Jia, Yujuan, Jiang, Haiping, Jing, Ying, Li, Dingfeng, Li, Jiaming, Li, Jingyi, Liang, Qinhao, Liang, Rui, Liu, Feng, Liu, Xiaoqian, Liu, Zuojun, Luo, Oscar Junhong, Lv, Jianwei, Ma, Jingyi, Mao, Kehang, Nie, Jiawei, Qiao, Xinhua, Sun, Xinpei, Tang, Xiaoqiang, Wang, Jianfang, Wang, Qiaoran, Wang, Siyuan, Wang, Xuan, Wang, Yaning, Wang, Yuhan, Wu, Rimo, Xia, Kai, Xiao, Fu-Hui, Xu, Lingyan, Xu, Yingying, Yan, Haoteng, Yang, Liang, Yang, Ruici, Yang, Yuanxin, Ying, Yilin, Zhang, Le, Zhang, Weiwei, Zhang, Wenwan, Zhang, Xing, Zhang, Zhuo, Zhou, Min, Zhou, Rui, Zhu, Qingchen, Zhu, Zhengmao, Cao, Feng, Cao, Zhongwei, Chan, Piu, Chen, Chang, Chen, Guobing, Chen, Hou-Zao, Chen, Jun, Ci, Weimin, Ding, Bi-Sen, Ding, Qiurong, Gao, Feng, Han, Jing-Dong J., Huang, Kai, Ju, Zhenyu, Kong, Qing-Peng, Li, Ji, Li, Jian, Li, Xin, Liu, Baohua, Liu, Feng, Liu, Lin, Liu, Qiang, Liu, Qiang, Liu, Xingguo, Liu, Yong, Luo, Xianghang, Ma, Shuai, Ma, Xinran, Mao, Zhiyong, Nie, Jing, Peng, Yaojin, Qu, Jing, Ren, Jie, Ren, Ruibao, Song, Moshi, Songyang, Zhou, Sun, Yi Eve, Sun, Yu, Tian, Mei, Wang, Shusen, Wang, Si, Wang, Xia, Wang, Xiaoning, Wang, Yan-Jiang, Wang, Yunfang, Wong, Catherine C. L., Xiang, Andy Peng, Xiao, Yichuan, Xie, Zhengwei, Xu, Daichao, Ye, Jing, Yue, Rui, Zhang, Cuntai, Zhang, Hongbo, Zhang, Liang, Zhang, Weiqi, Zhang, Yong, Zhang, Yun-Wu, Zhang, Zhuohua, Zhao, Tongbiao, Zhao, Yuzheng, Zhu, Dahai, Zou, Weiguo, Pei, Gang, and Liu, Guang-Hui

Published
2023
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90. Intrinsic functional connectivity correlates of cognitive deficits involving sustained attention and executive function in bipolar disorder

Author

Yan-Kun Wu, Yun-Ai Su, Lin-Lin Zhu, Ji-Tao Li, Qian Li, You-Ran Dai, Jing-Yu Lin, Ke Li, and Tian-Mei Si

Subjects
Magnetic resonance imaging, Bipolar disorder, Default mode network, Executive function, Attention, Psychiatry, RC435-571
Abstract

Abstract Background The neural correlate of cognitive deficits in bipolar disorder (BD) is an issue that warrants further investigation. However, relatively few studies have examined the intrinsic functional connectivity (FC) underlying cognitive deficits involving sustained attention and executive function at both the region and network levels, as well as the different relationships between connectivity patterns and cognitive performance, in BD patients and healthy controls (HCs). Methods Patients with BD (n = 59) and HCs (n = 52) underwent structural and resting-state functional magnetic resonance imaging and completed the Wisconsin Card Sorting Test (WCST), the continuous performance test and a clinical assessment. A seed-based approach was used to evaluate the intrinsic FC alterations in three core neurocognitive networks (the default mode network [DMN], the central executive network [CEN] and the salience network [SN]). Finally, we examined the relationship between FC and cognitive performance by using linear regression analyses. Results Decreased FC was observed within the DMN, in the DMN-SN and DMN-CEN and increased FC was observed in the SN-CEN in BD. The alteration direction of regional FC was consistent with that of FC at the brain network level. Decreased FC between the left posterior cingulate cortex and right anterior cingulate cortex was associated with longer WCST completion time in BD patients (but not in HCs). Conclusions These findings emphasize the dominant role of the DMN in the psychopathology of BD and provide evidence that cognitive deficits in BD may be associated with aberrant FC between the anterior and posterior DMN.

Published
2023
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91. DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation

Author

Dong, Shunjie, Zhao, Jinlong, Zhang, Maojun, Shi, Zhengxue, Deng, Jianing, Shi, Yiyu, Tian, Mei, and Zhuo, Cheng

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Automatic segmentation of cardiac magnetic resonance imaging (MRI) facilitates efficient and accurate volume measurement in clinical applications. However, due to anisotropic resolution and ambiguous border (e.g., right ventricular endocardium), existing methods suffer from the degradation of accuracy and robustness in 3D cardiac MRI video segmentation. In this paper, we propose a novel Deformable U-Net (DeU-Net) to fully exploit spatio-temporal information from 3D cardiac MRI video, including a Temporal Deformable Aggregation Module (TDAM) and a Deformable Global Position Attention (DGPA) network. First, the TDAM takes a cardiac MRI video clip as input with temporal information extracted by an offset prediction network. Then we fuse extracted temporal information via a temporal aggregation deformable convolution to produce fused feature maps. Furthermore, to aggregate meaningful features, we devise the DGPA network by employing deformable attention U-Net, which can encode a wider range of multi-dimensional contextual information into global and local features. Experimental results show that our DeU-Net achieves the state-of-the-art performance on commonly used evaluation metrics, especially for cardiac marginal information (ASSD and HD).

Published
2020

94. The causal involvement of the BDNF-TrkB pathway in dentate gyrus in early-life stress-induced cognitive deficits in male mice

Author

Ya-Xin Sun, Yun-Ai Su, Qi Wang, Jia-Ya Zheng, Chen-Chen Zhang, Ting Wang, Xiao Liu, Yu-Nu Ma, Xue-Xin Li, Xian-Qiang Zhang, Xiao-Meng Xie, Xiao-Dong Wang, Ji-Tao Li, and Tian-Mei Si

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Abstract Cognitive dysfunction is a significant, untreated clinical need in patients with psychiatric disorders, for which preclinical studies are needed to understand the underlying mechanisms and to identify potential therapeutic targets. Early-life stress (ELS) leads to long-lasting deficits of hippocampus-dependent learning and memory in adult mice, which may be associated with the hypofunction of the brain-derived neurotrophic factor (BDNF) and its high-affinity receptor, tropomyosin receptor kinase B (TrkB). In this study, we carried out eight experiments using male mice to examine the causal involvement of the BDNF-TrkB pathway in dentate gyrus (DG) and the therapeutic effects of the TrkB agonist (7,8-DHF) in ELS-induced cognitive deficits. Adopting the limited nesting and bedding material paradigm, we first demonstrated that ELS impaired spatial memory, suppressed BDNF expression and neurogenesis in the DG in adult mice. Downregulating BDNF expression (conditional BDNF knockdown) or inhibition of the TrkB receptor (using its antagonist ANA-12) in the DG mimicked the cognitive deficits of ELS. Acute upregulation of BDNF (exogenous human recombinant BDNF microinjection) levels or activation of TrkB receptor (using its agonist, 7,8-DHF) in the DG restored ELS-induced spatial memory loss. Finally, acute and subchronic systemic administration of 7,8-DHF successfully restored spatial memory loss in stressed mice. Subchronic 7,8-DHF treatment also reversed ELS-induced neurogenesis reduction. Our findings highlight BDNF-TrkB system as the molecular target of ELS-induced spatial memory deficits and provide translational evidence for the intervention at this system in the treatment of cognitive deficits in stress-related psychiatric disorders, such as major depressive disorder.

Published
2023
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95. Clinical and biomarker analyses of sintilimab plus gemcitabine and cisplatin as first-line treatment for patients with advanced biliary tract cancer

Author

Tian-mei Zeng, Guang Yang, Cheng Lou, Wei Wei, Chen-jie Tao, Xi-yun Chen, Qin Han, Zhuo Cheng, Pei-pei Shang, Yu-long Dong, He-ming Xu, Lie-ping Guo, Dong-sheng Chen, Yun-jie Song, Chuang Qi, Wang-long Deng, and Zhen-gang Yuan

Subjects
Science
Abstract

Chemotherapeutic agents and immune checkpoint inhibitors have shown modest efficacy in patients with advanced biliary tract cancers (BTCs). Here the authors report the results of a phase II trial of the anti-PD1 antibody sintilimab plus chemotherapy (gemcitabine and cisplatin) as first-line treatment for patients with advanced BTCs.

Published
2023
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98. Uncovering distinct progression patterns of tau deposition in progressive supranuclear palsy using [18F]Florzolotau PET imaging and subtype/stage inference algorithm

Author

Wang, Jian, Liu, Fengtao, Zuo, Chuantao, Wu, Jianjun, Sun, Yimin, Wu, Ping, Tang, Yilin, Zhao, Jue, Wu, Bin, Shen, Bo, Lu, Jiaying, Zhou, Xinyue, Li, Xinyi, Zhang, Huiwei, Ge, Jingjie, Chen, Minjia, Ju, Zizhao, Hong, Jimin, Wang, Min, Clement, Christoph, Lopes, Leonor, Brendel, Matthias, Rominger, Axel, Yen, Tzu-Chen, Guan, Yihui, Tian, Mei, and Shi, Kuangyu

Published
2023
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