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Wang BC, Qin Y, Meng XB, Wang Y, Liu ZZ. ATM-R: An Adaptive Tradeoff Model With Reference Points for Constrained Multiobjective Evolutionary Optimization. IEEE Trans Cybern 2024; PP:1-14. [PMID: 38190687 DOI: 10.1109/tcyb.2023.3329947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
The goal of constrained multiobjective evolutionary optimization is to obtain a set of well-converged and well-distributed feasible solutions. To achieve this goal, a delicate tradeoff must be struck among feasibility, diversity, and convergence. However, balancing these three elements simultaneously through a single tradeoff model is nontrivial, mainly because the significance of each element varies in different evolutionary phases. As an alternative approach, we adapt distinct tradeoff models in various phases and introduce a novel algorithm named adaptive tradeoff model with reference points (ATM-R). In the infeasible phase, ATM-R takes the tradeoff between diversity and feasibility into account, aiming to move the population toward feasible regions from diverse search directions. In the semi-feasible phase, ATM-R promotes the transition from "the tradeoff between feasibility and diversity" to "the tradeoff between diversity and convergence." This transition is instrumental in discovering an adequate number of feasible regions and accelerating the search for feasible Pareto optima in succession. In the feasible phase, ATM-R places an emphasis on balancing diversity and convergence to obtain a set of feasible solutions that are both well-converged and well-distributed. It is worth noting that the merits of reference points are leveraged in ATM-R to accomplish these tradeoff models. Also, in ATM-R, a multiphase mating selection strategy is developed to generate promising solutions beneficial to different evolutionary phases. Systemic experiments on a diverse set of benchmark test functions and real-world problems demonstrate that ATM-R is effective. When compared to eight state-of-the-art constrained multiobjective optimization evolutionary algorithms, ATM-R consistently demonstrates its competitive performance.
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Liu ZZ, Yan CH, Han YL. [Current status of cardiovascular translational medicine research: from high throughput multi omics to integrative bioinformatics]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:1121-1123. [PMID: 37963744 DOI: 10.3760/cma.j.cn112148-20230920-00177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Affiliation(s)
- Z Z Liu
- State Key Laboratory of Frigid Zone Cardiovascular Diseases, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - C H Yan
- State Key Laboratory of Frigid Zone Cardiovascular Diseases, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - Y L Han
- State Key Laboratory of Frigid Zone Cardiovascular Diseases, General Hospital of Northern Theater Command, Shenyang 110016, China
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Zhong H, Han LZ, Yue CJ, Liu ZZ. A symptomatic case of Zinner syndrome: Laparoscopic seminal vesiculectomy and ipsilateral nephroureterectomy. Asian J Surg 2023; 46:4527-4529. [PMID: 37225570 DOI: 10.1016/j.asjsur.2023.04.140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 04/28/2023] [Indexed: 05/26/2023] Open
Affiliation(s)
- Hao Zhong
- Department of Urology, Inner Mongolia Baogang Hospital, Third Affiliated Hospital of Inner Mongonia Medical University, Baotou, 014010, China
| | - Li-Zhong Han
- Department of Urology, Inner Mongolia Baogang Hospital, Third Affiliated Hospital of Inner Mongonia Medical University, Baotou, 014010, China
| | - Chang-Jiu Yue
- Department of Urology, Inner Mongolia Baogang Hospital, Third Affiliated Hospital of Inner Mongonia Medical University, Baotou, 014010, China
| | - Zhi-Zhong Liu
- Department of Urology, Inner Mongolia Baogang Hospital, Third Affiliated Hospital of Inner Mongonia Medical University, Baotou, 014010, China.
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Liu MM, Xu SL, Zhang HB, Zhang JW, Ren BN, Zhang WJ, Liu ZZ, Hu JJ, Guan YC. [Effect of preimplantation genetic testing for aneuploidies on pregnancy outcome in patients with unexplained recurrent spontaneous abortion]. Zhonghua Yi Xue Za Zhi 2023; 103:2335-2341. [PMID: 37574832 DOI: 10.3760/cma.j.cn112137-20221204-02567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Objective: To investigate the effect of preimplantation genetic testing for aneuploidies (PGT-A) on pregnancy outcome and perinatal outcome of single live birth in patients with unexplained recurrent spontaneous abortion (URSA). Methods: The clinical data of 351 cycles of the first transfer of a blastocyst through whole embryo freezing in the Reproductive Center of the Third Affiliated Hospital of Zhengzhou University from 2019 to 2021 were retrospectively analyzed. According to whether PGT-A was performed before the transfer, the patients were divided into two groups: the PGT-A group (160 cycles) and the control group (191 cycles) were treated with in vitro fertilization/intracytoplasmic sperm microinjection (IVF/ICSI). To adjust for confounding factors, propensity score matching (PSM) was carried out in a 1∶1 ratio between the two groups of patients. After matching, 98 patients in the PGT-A group and 98 patients in the control group were compared for pregnancy outcome and perinatal outcome of singleton live births. Results: Before PSM, the female age in the PGT-A group was (33.6±4.0) years, lower than that in the control group (34.5±4.5) years (P=0.049). Male age in the PGT-A group was (33.6±4.1) years, lower than that in the control group (35.3±5.1) years (P<0.001). There were statistically significant differences between the two groups in infertility factors, female body mass index (BMI), years of infertility, number of spontaneous abortions, basal follicle stimulating hormone (FSH), endometrial thickness on the day of transfer and the percentage of high-quality blastocysts (all P values<0.05); After PSM, there was a statistically significant difference in fertilization methods and infertility factors between the two groups (P<0.05), while other differences were not statistically significant (all P values>0.05); There were statistically significant differences between the two groups in implant rate [63.3% (62 cycles) vs. 49.0% (48 cycles), P=0.044], clinical pregnancy rate [63.3% (62 cycles) vs. 49.0% (48 cycles), P=0.044], and live birth rate [42.9% (42 cycles) vs. 28.6% (28 cycles), P=0.037]. There was no statistically significant difference in perinatal outcomes between the PGT-A group and the control group in obtaining single birth live births (P>0.05). Conclusion: Compared with conventional IVF/ICSI assisted pregnancy, PGT-A assisted pregnancy significantly improves implantation rate, clinical pregnancy rate, and live birth rate in URSA patients. PGT-A improves the pregnancy outcomes in URSA patients but not perinatal outcomes in patients with singleton live births.
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Affiliation(s)
- M M Liu
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - S L Xu
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - H B Zhang
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J W Zhang
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - B N Ren
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - W J Zhang
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Z Z Liu
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J J Hu
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y C Guan
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Yang XY, Luo J, Chen BY, Chen Q, Liu ZZ, Ye QF. [Research progress of acetaldehyde dehydrogenase 2 in liver diseases]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:1397-1400. [PMID: 36891728 DOI: 10.3760/cma.j.cn501113-20201101-00591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
Acetaldehyde dehydrogenase 2 (ALDH2) is an important kind of aldehyde dehydrogenase in mitochondria, which has the function of eliminating acetaldehyde and other toxic aldehydes substances. Furthermore, it is abundant in liver and is closely related to the occurrence and development of a variety of liver diseases. ALDH2 genetic polymorphisms plays an important role in the occurrence of a variety of liver diseases in the human population.This paper mainly reviews the research progress of ALDH2 in liver diseases in recent years, with a view to provide theoretical basis for clinical prevention and treatment.
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Zhang ZY, Yang LT, Yue Q, Kang KJ, Li YJ, Agartioglu M, An HP, Chang JP, Chen YH, Cheng JP, Dai WH, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jia HT, Jiang X, Li HB, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu Y, Liu YY, Liu ZZ, Ma H, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, Saraswat K, Sharma V, She Z, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yeh CH, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Constraints on Sub-GeV Dark Matter-Electron Scattering from the CDEX-10 Experiment. Phys Rev Lett 2022; 129:221301. [PMID: 36493436 DOI: 10.1103/physrevlett.129.221301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/25/2022] [Accepted: 10/20/2022] [Indexed: 06/17/2023]
Abstract
We present improved germanium-based constraints on sub-GeV dark matter via dark matter-electron (χ-e) scattering using the 205.4 kg·day dataset from the CDEX-10 experiment. Using a novel calculation technique, we attain predicted χ-e scattering spectra observable in high-purity germanium detectors. In the heavy mediator scenario, our results achieve 3 orders of magnitude of improvement for m_{χ} larger than 80 MeV/c^{2} compared to previous germanium-based χ-e results. We also present the most stringent χ-e cross-section limit to date among experiments using solid-state detectors for m_{χ} larger than 90 MeV/c^{2} with heavy mediators and m_{χ} larger than 100 MeV/c^{2} with electric dipole coupling. The result proves the feasibility and demonstrates the vast potential of a new χ-e detection method with high-purity germanium detectors in ultralow radioactive background.
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Affiliation(s)
- Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - H T Jia
- College of Physics, Sichuan University, Chengdu 610065
| | - X Jiang
- College of Physics, Sichuan University, Chengdu 610065
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - K Saraswat
- Institute of Physics, Academia Sinica, Taipei 11529
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - C H Yeh
- Institute of Physics, Academia Sinica, Taipei 11529
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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Dai WH, Jia LP, Ma H, Yue Q, Kang KJ, Li YJ, An HP, C G, Chang JP, Chen YH, Cheng JP, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jia HT, Jiang X, Karmakar S, Li HB, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu Y, Liu YY, Liu ZZ, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, She Z, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yang LT, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhang ZY, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Exotic Dark Matter Search with the CDEX-10 Experiment at China's Jinping Underground Laboratory. Phys Rev Lett 2022; 129:221802. [PMID: 36493447 DOI: 10.1103/physrevlett.129.221802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 11/07/2022] [Indexed: 06/17/2023]
Abstract
A search for exotic dark matter (DM) in the sub-GeV mass range has been conducted using 205 kg day data taken from a p-type point contact germanium detector of the CDEX-10 experiment at China's Jinping underground laboratory. New low-mass dark matter searching channels, neutral current fermionic DM absorption (χ+A→ν+A) and DM-nucleus 3→2 scattering (χ+χ+A→ϕ+A), have been analyzed with an energy threshold of 160 eVee. No significant signal was found; thus new limits on the DM-nucleon interaction cross section are set for both models at the sub-GeV DM mass region. A cross section limit for the fermionic DM absorption is set to be 2.5×10^{-46} cm^{2} (90% C.L.) at DM mass of 10 MeV/c^{2}. For the DM-nucleus 3→2 scattering scenario, limits are extended to DM mass of 5 and 14 MeV/c^{2} for the massless dark photon and bound DM final state, respectively.
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Affiliation(s)
- W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | - Greeshma C
- Institute of Physics, Academia Sinica, Taipei 11529
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - H T Jia
- College of Physics, Sichuan University, Chengdu 610065
| | - X Jiang
- College of Physics, Sichuan University, Chengdu 610065
| | - S Karmakar
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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8
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Xu CQ, Liu ZZ. [Glaucoma-related adverse events and their associated factors after cataract surgery in congenital cataracts: a review and update]. Zhonghua Yan Ke Za Zhi 2022; 58:959-963. [PMID: 36348541 DOI: 10.3760/cma.j.cn112142-20220418-00188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Congenital cataract is one of the main causes of blindness in children. Glaucoma-related adverse event (GRAE) is a serious complication of congenital cataract extraction. Its occult onset can cause irreversible damage to the optic nerve, its related factors are, however, not clear. In recent years, with the deepening of research, we have a more comprehensive understanding of the risk factors of glaucoma-related adverse events. This paper summarizes in detail the impact of its risk factors: ocular anatomical features, surgical design, other ocular and systemic diseases on GRAE, and systematically summarizes its diagnostic criteria, treatment and prognosis, in order to provide a comprehensive reference of research-related factors affecting GRAE after cataract surgery and indication for the vacancy in scientific research and to establish a prediction model for the incidence of postoperative GRAE based on the analysis of influencing factors, and precisely predict the prognosis of children after surgery cataract in clinical aspect.
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Affiliation(s)
- C Q Xu
- Zhongshan Ophthalmic Centre, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial clinical research center for ocular diseases, Guangzhou 510060, China
| | - Z Z Liu
- Zhongshan Ophthalmic Centre, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial clinical research center for ocular diseases, Guangzhou 510060, China
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9
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Liu ZZ, Wang BC, Tang K. Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution. IEEE Trans Cybern 2022; 52:10163-10176. [PMID: 33822731 DOI: 10.1109/tcyb.2021.3056176] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Constrained multiobjective optimization problems (CMOPs) involve both conflicting objective functions and various constraints. Due to the presence of constraints, CMOPs' Pareto-optimal solutions are very likely lying on constraint boundaries. The experience from the constrained single-objective optimization has shown that to quickly obtain such an optimal solution, the search should surround the boundary of the feasible region from both the feasible and infeasible sides. In this article, we extend this idea to cope with CMOPs and, accordingly, we propose a novel constrained multiobjective evolutionary algorithm with bidirectional coevolution, called BiCo. BiCo maintains two populations, that is: 1) the main population and 2) the archive population. To update the main population, the constraint-domination principle is equipped with an NSGA-II variant to move the population into the feasible region and then to guide the population toward the Pareto front (PF) from the feasible side of the search space. While for updating the archive population, a nondominated sorting procedure and an angle-based selection scheme are conducted in sequence to drive the population toward the PF within the infeasible region while maintaining good diversity. As a result, BiCo can get close to the PF from two complementary directions. In addition, to coordinate the interaction between the main and archive populations, in BiCo, a restricted mating selection mechanism is developed to choose appropriate mating parents. Comprehensive experiments have been conducted on three sets of CMOP benchmark functions and six real-world CMOPs. The experimental results suggest that BiCo can obtain quite competitive performance in comparison to eight state-of-the-art-constrained multiobjective evolutionary optimizers.
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10
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Liu ZZ, Li KP, Yang XB, Zhang YQ, Xie ZX, Duan ZQ, Zhou B, Hu YM. Selenylation to charge transfer improvement at the counter electrode (CE)/electrolyte interface for nanocrystalline Cu 1.8S 1-xSe x CEs. Phys Chem Chem Phys 2022; 24:21157-21164. [PMID: 36039748 DOI: 10.1039/d2cp02308c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Pt counter electrodes (CEs) have been widely used in dye-sensitized solar cells (DSSCs) due to their high conductivity and electrocatalytic activity. However, industrialization of DSSCs is limited by shortcomings of Pt CEs such as being expensive, and weak corrosion resistance in electrolytes. Reported in this paper is two simple approaches to Pt-free Cu1.8S1-xSex CEs. Nanocrystalline Cu1.8S1-xSex CEs were fabricated via two processes, that is, a solvothermal process to Cu1.8S1-xSex powder followed by CE fabrication, and a solvothermal process and CE fabrication to Cu1.8S films followed by selenylation to Cu1.8S1-xSex CEs. Photoelectric conversion efficiencies (PCE) of 4.02% and 4.16% were achieved respectively by the as-fabricated Cu1.8S1-xSex CEs. Compared with the cells with Cu1.8S CEs fabricated by the same processes, increases of 19% and 45% were achieved, respectively. The PCE improvement comes from the enhancement of charge transfer at the CE/electrolyte interface induced by the selenylation of the CEs.
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Affiliation(s)
- Z Z Liu
- College of Engineering, Dali University, Dali, 671003, China.
| | - K P Li
- College of Engineering, Dali University, Dali, 671003, China.
| | - X B Yang
- Faculty of Material Science and Engineering, Kunming University of Science and Technology, Kunming, 650093, China
| | - Y Q Zhang
- College of Engineering, Dali University, Dali, 671003, China.
| | - Z X Xie
- College of Engineering, Dali University, Dali, 671003, China.
| | - Z Q Duan
- College of Engineering, Dali University, Dali, 671003, China.
| | - B Zhou
- College of Engineering, Dali University, Dali, 671003, China.
| | - Y M Hu
- College of Engineering, Dali University, Dali, 671003, China.
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11
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Wang BC, Liu ZZ, Song W. Solving constrained optimization problems via multifactorial evolution. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.109392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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12
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Lyu MH, Jiao DC, Wu JZ, Tian PQ, Ma YZ, Liu ZZ, Chen XC. [Construction of a nomogram prediction model for pathological complete response (pCR) of ipsilateral supraclavicular lymph node after neoadjuvant chemotherapy for breast cancer with first diagnosis of ipsilateral supraclavicular lymph node metastasis]. Zhonghua Zhong Liu Za Zhi 2022; 44:160-166. [PMID: 35184460 DOI: 10.3760/cma.j.cn112152-20200420-00358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To develop a predictive model for pathologic complete response (pCR) of ipsilateral supraclavicular lymph nodes (ISLN) after neoadjuvant chemotherapy for breast cancer and guide the local treatment. Methods: Two hundred and eleven consecutive breast cancer patients with first diagnosis of ipsilateral supraclavicular lymph node metastasis who underwent ipsilateral supraclavicular lymph node dissection and treated in the Breast Department of Henan Cancer Hospital from September 2012 to May 2019 were included. One hundred and forty two cases were divided into the training set while other 69 cases into the validation set. The factors affecting ipsilateral supraclavicular lymph node pCR (ispCR)of breast cancer after neoadjuvant chemotherapy were analyzed by univariate and multivariate logistic regression analyses, and a nomogram prediction model of ispCR was established. Internal and external validation evaluation of the nomogram prediction model were conducted by receiver operating characteristic (ROC) curve analysis and plotting calibration curves. Results: Univariate logistic regression analysis showed that Ki-67 index, number of axillary lymph node metastases, breast pCR, axillary pCR, and ISLN size after neoadjuvant chemotherapy were associated with ispCR of breast cancerafter neoadjuvant chemotherapy (P<0.05). Multivariate logistic regression analysis showed that the number of axillary lymph node metastases (OR=5.035, 95%CI: 1.722-14.721, P=0.003), breast pCR (OR=4.662, 95%CI: 1.456-14.922, P=0.010) and ISLN size after neoadjuvant chemotherapy (OR=4.231, 95%CI: 1.194-14.985, P=0.025) were independent predictors of ispCR of breast cancer after neoadjuvant chemotherapy. A nomogram prediction model of ispCR of breast cancer after neoadjuvant chemotherapy was constructed using five factors: number of axillary lymph node metastases, Ki-67 index, breast pCR, axillary pCR and size of ISLN after neoadjuvant chemotherapy. The areas under the ROC curve for the nomogram prediction model in the training and validation sets were 0.855 and 0.838, respectively, and the difference was not statistically significant (P=0.755). The 3-year disease-free survival rates of patients in the ispCR and non-ispCR groups after neoadjuvant chemotherapy were 64.3% and 54.8%, respectively, with statistically significant differences (P=0.024), the 3-year overall survival rates were 83.8% and 70.2%, respectively, without statistically significant difference (P=0.087). Conclusions: Disease free survival is significantly improved in breast cancer patients with ispCR after neoadjuvant chemotherapy. The constructed nomogram prediction model of ispCR of breast cancer patients after neoadjuvant chemotherapy is well fitted. Application of this prediction model can assist the development of local management strategies for the ipsilateral supraclavicular region after neoadjuvant chemotherapy and predict the long-term prognosis of breast cancer patients.
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Affiliation(s)
- M H Lyu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - D C Jiao
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - J Z Wu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - P Q Tian
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - Y Z Ma
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - Z Z Liu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - X C Chen
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
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Yang XF, Liu ZZ, Jia CX. [A longitudinal study of relationship between family conflict and suicidal behavior in adolescents]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1976-1982. [PMID: 34818843 DOI: 10.3760/cma.j.cn112338-20210317-00215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the relationship between family conflict and adolescent future suicidal behavior. Methods: A total of 7 072 adolescents who participated in the baseline survey and the first follow-up survey of Shandong Adolescent Behavior and Health Cohort were included in the analysis. They were sampled from 8 middle schools in 3 counties of Shandong province, China. A self-reported questionnaire was used to measure suicidal behavior, family conflict, depression, and demographic characteristics. Logistic regression model was used to analyze the relationship between family conflict and suicidal behavior. Results: In the baseline survey, the age of 7 072 subjects was (14.58±1.45) years, and boys and girls accounted for 50.0% respectively. 750 people (10.6%) had any suicidal behavior, of which 707 (10.0%), 258 (3.6%) and 190 (2.7%) had suicidal ideation, suicide planning and suicide attempt, respectively. The family conflict scores of the suicidal group were higher than those of the non-suicidal group. After adjusting for covariates, logistic regressions showed that family conflict was associated with increased risk of suicidal behavior (OR=1.05, 95%CI: 1.01-1.10), suicidal ideation (OR=1.05, 95%CI: 1.00-1.09), suicide planning (OR=1.08, 95%CI: 1.01-1.16) and suicide attempt (OR=1.10, 95%CI: 1.02-1.19). Further stratified by gender, results showed no significant association between family conflict and suicidal behavior in girls; the association of family conflict with suicidal behavior was more significant in boys, especially for suicidal ideation and suicide planning, and the OR value of the latter was higher than the former. The results were stable after sensitivity analysis in males. Conclusions: Family conflict might increase the risk of adolescent suicidal behavior, especially in males. Harmonious family environment and good family atmosphere are of great significance to adolescent suicide prevention and control.
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Affiliation(s)
- X F Yang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine/Center for Suicide Prevention Research, Shandong University, Ji'nan 250012, China
| | - Z Z Liu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine/Center for Suicide Prevention Research, Shandong University, Ji'nan 250012, China
| | - C X Jia
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine/Center for Suicide Prevention Research, Shandong University, Ji'nan 250012, China
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Hao J, Liao W, Zhang YL, Peng J, Zhao Z, Chen Z, Zhou BW, Feng Y, Fang B, Liu ZZ, Zhao ZH. Toward Clinically Applicable 3-Dimensional Tooth Segmentation via Deep Learning. J Dent Res 2021; 101:304-311. [PMID: 34719980 DOI: 10.1177/00220345211040459] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Digital dentistry plays a pivotal role in dental health care. A critical step in many digital dental systems is to accurately delineate individual teeth and the gingiva in the 3-dimension intraoral scanned mesh data. However, previous state-of-the-art methods are either time-consuming or error prone, hence hindering their clinical applicability. This article presents an accurate, efficient, and fully automated deep learning model trained on a data set of 4,000 intraoral scanned data annotated by experienced human experts. On a holdout data set of 200 scans, our model achieves a per-face accuracy, average-area accuracy, and area under the receiver operating characteristic curve of 96.94%, 98.26%, and 0.9991, respectively, significantly outperforming the state-of-the-art baselines. In addition, our model takes only about 24 s to generate segmentation outputs, as opposed to >5 min by the baseline and 15 min by human experts. A clinical performance test of 500 patients with malocclusion and/or abnormal teeth shows that 96.9% of the segmentations are satisfactory for clinical applications, 2.9% automatically trigger alarms for human improvement, and only 0.2% of them need rework. Our research demonstrates the potential for deep learning to improve the efficacy and efficiency of dental treatment and digital dentistry.
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Affiliation(s)
- J Hao
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases and West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Harvard School of Dental Medicine, Harvard University, Boston, MA, USA
| | - W Liao
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases and West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Y L Zhang
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases and West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - J Peng
- DeepAlign Tech Inc., Ningbo, China
| | - Z Zhao
- DeepAlign Tech Inc., Ningbo, China
| | - Z Chen
- DeepAlign Tech Inc., Ningbo, China
| | - B W Zhou
- Angelalign Research Institute, Angel Align Inc., Shanghai, China
| | - Y Feng
- Angelalign Research Institute, Angel Align Inc., Shanghai, China
| | - B Fang
- Ninth People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai, China
| | - Z Z Liu
- Zhejiang University-University of Illinois at Urbana-Champaign Institute, Zhejiang University, Haining, China
| | - Z H Zhao
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases and West China Hospital of Stomatology, Sichuan University, Chengdu, China
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15
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Cao J, Yang CH, Han WQ, Xie Y, Liu ZZ, Jiang SS. Correlation Between the Evolution of Somatic Alterations During Lymphatic Metastasis and Clinical Outcome in Penile Squamous Cell Carcinoma. Front Oncol 2021; 11:641869. [PMID: 34150614 PMCID: PMC8207884 DOI: 10.3389/fonc.2021.641869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 04/29/2021] [Indexed: 11/13/2022] Open
Abstract
Penile squamous cell carcinoma (PSCC) is a rare malignancy with poor survival after standard treatment. Although genomic alterations of PSCC have been characterized in several latest studies, the association between the formation of somatic landscape and regional lymph node metastasis (LNM), an important predictor for patient survival, has not been comprehensively investigated. Here, we collected formalin-fixed paraffin-embedded tumor tissue and matched normal samples of 32 PSCC patients, including 14 LNM patients and 18 clinically node-negative patients, to implement a whole-exome sequencing. Comparison of genomic features among different lymph node status subgroups was conducted after genomic profiling and its effects on patient survival were explored. Top-ranked recurrent gene mutants in our PSCC cohort were TP53 (13/32), NOTCH1 (12/32), CDKN2A (11/32), TTN (9/32) and FAT1 (8/32), mainly identified in the Notch, Hippo, cell cycle, TP53, RTK-RAS and PI3K pathways. While CDKN2A was confirmed to be the driver gene in all PSCC patients, certain gene mutants were significantly enriched in LNM involved patients, including TP53 (9/14 vs. 4/18, p = 0.029) and GBF1 (4/14 vs. 0/18, p = 0.028). Overall survival stratification of PSCC patients were found to be significantly correlated with mutations of three genes, including PIK3CA (Hazard ratio [HR] = 4.15, p = 0.029), CHD7 (HR = 4.82, p = 0.032) and LAMC3 (HR = 15.9, p < 0.001). PIK3CA and LAMC3 held a higher prevalence in patients with LNM compared to those without LNM (PIK3CA: 3/14 vs. 1/18, LAMC3: 2/14 vs. 1/18). Our finding demonstrated that genomic divergence exists across PSCC patients with different lymph node statuses, and it may be correlated with their survival outcome. It helps delineate somatic evolution during tumor progression and perfect potential therapeutic intervention in this disease.
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Affiliation(s)
- Jian Cao
- Department of Urology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya Medicine School, Central South University, Changsha, China
| | - Chun-He Yang
- GloriousMed Clinical Laboratory Co., Ltd., Shanghai, China
| | - Wei-Qing Han
- Department of Urology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya Medicine School, Central South University, Changsha, China
| | - Yu Xie
- Department of Urology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya Medicine School, Central South University, Changsha, China
| | - Zhi-Zhong Liu
- Department of Urology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya Medicine School, Central South University, Changsha, China
| | - Shu-Suan Jiang
- Department of Urology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya Medicine School, Central South University, Changsha, China
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Ge Z, Gao XF, Kan J, Kong XQ, Zuo GF, Ye F, Tian NL, Lin S, Liu ZZ, Shao YB, He YQ, Wen SY, Yang Q, Xia Y, Wang ZZ, Xiao PX, Li F, Zeng HS, Yang S, Wang Y, Tao L, Gao DS, Qu H, Qian XS, Han YL, Chen F, Zhang JJ, Chen SL. Comparison of one-month versus twelve-month dual antiplatelet therapy after implantation of drug-eluting stents guided by either intravascular ultrasound or angiography in patients with acute coronary syndrome: rationale and design of prospective, multicenter, randomized, controlled IVUS-ACS and ULTIMATE-DAPT trial. Am Heart J 2021; 236:49-58. [PMID: 33621541 DOI: 10.1016/j.ahj.2021.02.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 02/16/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Current guidelines recommend administering dual antiplatelet therapy (DAPT) for 12 months to patients with acute coronary syndromes (ACS) and without contraindications after drug-eluting stent (DES) implantation. A recent study reported that 3 months of DAPT followed by ticagrelor monotherapy is effective and safe in ACS patients undergoing DES implantation compared with the standard duration of DAPT. However, it is unclear whether antiplatelet monotherapy with ticagrelor alone versus ticagrelor plus aspirin reduces the incidence of clinically relevant bleeding without increasing the risk of major adverse cardiovascular and cerebrovascular events (MACCEs) in ACS patients undergoing percutaneous coronary intervention (PCI) with DES implantation guided by either intravascular ultrasound (IVUS) or angiography who have completed a 1-month course of DAPT with aspirin plus ticagrelor. METHODS The IVUS-ACS and ULTIMATE-DAPT is a prospective, multicenter, randomized, controlled trial designed to determine (1) whether IVUS-guided versus angiography-guided DES implantation in patients with ACS reduces the risk of target vessel failure (TVF) at 12 months and (2) whether ticagrelor alone versus ticagrelor plus aspirin reduces the risk of clinically relevant bleeding without increasing the risk of MACCE 1-12 months after the index PCI in ACS patients undergoing DES implantation guided by either IVUS or angiography. This study will enroll 3486 ACS patients eligible for DES implantation, as confirmed by angiographic studies. The patients who meet the inclusion criteria and none of the exclusion criteria will be randomly assigned in a 1:1 fashion to the IVUS- or angiography-guided group (first randomization). All enrolled patients will complete a 1-month course of DAPT with aspirin plus ticagrelor after the index PCI. Patients with no MACCEs or major bleeding (≥Bleeding Academic Research Consortium (BARC) 3b) within 30 days will be randomized in a 1:1 fashion to either the ticagrelor plus matching placebo (SAPT)group or ticagrelor plus aspirin (DAPT)group for an additional 11 months (second randomization). The primary endpoint of the IVUS-ACS trial is TVF at 12 months, including cardiac death, target vessel myocardial infarction (TVMI), or clinically driven target vessel revascularization (CD-TVR). The primary superiority endpoint of the ULTIMATE-DAPT trial is clinically relevant bleeding, defined as BARC Types 2, 3, or 5 bleeding, and the primary non-inferiority endpoint of the ULTIMATE-DAPT trial is MACCE, defined as cardiac death, myocardial infarction, ischemic stroke, CD-TVR, or definite stent thrombosis occurring 1-12 months in the second randomized population. CONCLUSION The IVUS-ACS and ULTIMATE-DAPT trial is designed to test the efficacy and safety of 2 different antiplatelet strategies in ACS patients undergoing PCI with DES implantation guided by either IVUS or angiography. This study will provide novel insights into the optimal DAPT duration in ACS patients undergoing PCI and provide evidence on the clinical benefits of IVUS-guided PCI in ACS patients.
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Ge Z, Kan J, Gao XF, Kong XQ, Zuo GF, Ye F, Tian NL, Lin S, Liu ZZ, Sun ZQ, He PC, Wei L, Yang W, He YQ, Xue YZ, Wang LM, Miao LF, Pu J, Sun YW, Nie SP, Tao JH, Wen SY, Yang Q, Su X, Yao QC, Huang YJ, Xia Y, Shen FR, Qiu CG, Mao YL, Liu Q, Hu XQ, Du ZM, Nie RQ, Han YL, Zhang JJ, Chen SL. Comparison of intravascular ultrasound-guided with angiography-guided double kissing crush stenting for patients with complex coronary bifurcation lesions: Rationale and design of a prospective, randomized, and multicenter DKCRUSH VIII trial. Am Heart J 2021; 234:101-110. [PMID: 33465369 DOI: 10.1016/j.ahj.2021.01.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 01/15/2021] [Indexed: 01/29/2023]
Abstract
BACKGROUND Double kissing (DK) crush approach for patients with coronary bifurcation lesions, particularly localized at distal left main or lesions with increased complexity, is associated with significant reduction in clinical events when compared with provisional stenting. Recently, randomized clinical trial has demonstrated the net clinical benefits by intravascular ultrasound (IVUS)-guided implantation of drug-eluting stent in all-comers. However, the improvement in clinical outcome after DK crush treatment guided by IVUS over angiography guidance for patients with complex bifurcation lesions have never been studied in a randomized fashion. TRIAL DESIGN DKCRUSH VIII study is a prospective, multicenter, randomized controlled trial designed to assess superiority of IVUS-guided vs angiography-guided DK crush stenting in patients with complex bifurcation lesions according to DEFINITION criteria. A total of 556 patients with complex bifurcation lesions will be randomly (1:1 of ratio) assigned to IVUS-guided or angiography-guided DK crush stenting group. The primary end point is the rate of 12-month target vessel failure, including cardiac death, target vessel myocardial infarction, or clinically driven target vessel revascularization. The secondary end points consist of the individual component of primary end point, all-cause death, myocardial infarction, and in-stent restenosis. The safety end point is the incidence of definite or probable stent thrombosis. An angiographic follow-up will be performed for all patients at 13 months and clinical follow-up will be continued annually until 3 years after the index procedure. CONCLUSIONS DKCRUSH VIII trial is the first study designed to evaluate the differences in efficacy and safety between IVUS-guided and angiography-guided DK crush stenting in patients with complex true bifurcation lesions. This study will also provide IVUS-derived criteria to define optimal DK crush stenting for bifurcation lesions at higher complexity.
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Affiliation(s)
- Zhen Ge
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jing Kan
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiao-Fei Gao
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiang-Quan Kong
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Guang-Feng Zuo
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Fei Ye
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Nai-Liang Tian
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Song Lin
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Zhi-Zhong Liu
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Zhi-Qi Sun
- Division of Cardiology, Daqing Oilfield General Hospital, Daqing, China
| | - Peng-Cheng He
- Division of Cardiology, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Lin Wei
- Division of Cardiology, Harbin First Hospital, Harbin, China
| | - Wei Yang
- Division of Cardiology, The 4th Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yu-Quan He
- Division of Cardiology, China-Japan Friendship Hospital, Changchun, China
| | - Yu-Zeng Xue
- Division of Cardiology, Liaocheng People's Hospital, Liaocheng, China
| | - Lian-Min Wang
- Division of Cardiology, Mudanjiang Cardiovascular Hospital, Mudanjiang, China
| | - Li-Fu Miao
- Division of Cardiology, Beijing Huaxin Hospital, the First Hospital of Tsinghua University, Beijing, China
| | - Jun Pu
- Division of Cardiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ya-Wu Sun
- Division of Cardiology, Shanghai Fourth People's Hospital, Shanghai, China
| | - Shao-Ping Nie
- Division of Cardiology, Beijing Anzhen Hospital, Capital Medical Hospital, Beijing, China
| | - Jian-Hong Tao
- Division of Cardiology, Sichuan Province People's Hospital, Chengdu, China
| | - Shang-Yu Wen
- Division of Cardiology, Tianjin 4th People's Hospital, Tianjin, China
| | - Qing Yang
- Division of Cardiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xi Su
- Division of Cardiology, Wuhan Asia heart Hospital, Wuhan, China
| | - Qi-Cheng Yao
- Division of Cardiology, Shenzhen Hospital, The University of Hong Kong, Shenzhen, China
| | - Yi-Jie Huang
- Division of Cardiology, XuZhou Central Hospital, Xuzhou, China
| | - Yong Xia
- Division of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Fa-Rong Shen
- Division of Cardiology, Zhejiang Greentown Cardiovascular Hospital, Zhejiang, China
| | - Chun-Guang Qiu
- Division of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - You-Lin Mao
- Division of Cardiology, The 7th People's Hospital of Zhengzhou, Zhengzhou, China
| | - Qiang Liu
- Division of Cardiology, Fuwai Hospital Chinese Academy of Medical Science, Shenzhen, China
| | - Xin-Qun Hu
- Division of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zhi-Min Du
- Division of Cardiology, The First Affiliated Hospital of Zhongshan University, Guangzhou, China
| | - Ru-Qiong Nie
- Division of Cardiology, Sun Yat-Sen Memorial Hospital, Zhongshan University, Guangzhou, China
| | - Ya-Ling Han
- Division of Cardiology, General Hospital of Northern Theater Command, Shenyang, China
| | - Jun-Jie Zhang
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Shao-Liang Chen
- Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
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Zhou D, Wang XM, Li RX, Wang YZ, Chao YC, Liu ZZ, Huang ZH, Nie HC, Zhu WB, Tan YQ, Fan LQ. Improving native human sperm freezing protection by using a modified vitrification method. Asian J Androl 2021; 23:91-96. [PMID: 32567578 PMCID: PMC7831840 DOI: 10.4103/aja.aja_29_20] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Slow freezing is the most commonly used technique for the cryopreservation of spermatozoa in clinical practice. However, it has been shown to have a negative impact on sperm function and structure. Vitrification as a successful alternative method has been proved to have better protective effects on human embryos, but vitrification of spermatozoa is still subject to low recovery rates. In this study, a modified vitrification method for native spermatozoa was developed. A total of 28 semen samples were included; each sample was divided into three equal parts and assigned to fresh, slow freezing, and vitrification groups. Sperm vitality, motility, morphology, DNA integrity, and acrosome reaction were assessed for each of the groups. The results showed that vitrification achieves better results for several sperm protection parameters than slow freezing; vitrification achieves a higher recovery rate (P < 0.05), motility (P < 0.05), morphology (P < 0.05), and curve line velocity (P < 0.05) than slow freezing. Furthermore, DNA fragmentation was decreased (P < 0.05) and better acrosome protection (P < 0.05) was exhibited in the spermatozoa after vitrification. Principal component analysis of all sperm parameters revealed that the vitrification cluster was closer to the fresh cluster, indicating that spermatozoa are better preserved through vitrification. In conclusion, while both slow freezing and vitrification have negative effects on sperm function and structure, the vitrification protocol described here had a relatively better recovery rate (65.8%) and showed improved preservation of several sperm quality parameters compared with slow freezing.
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Affiliation(s)
- Dai Zhou
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China.,Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410000, China
| | - Xing-Ming Wang
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China
| | - Rui-Xue Li
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China
| | - Yi-Ze Wang
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China
| | - Yuan-Chi Chao
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China
| | - Zhi-Zhong Liu
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China.,Department of Urology, Hunan Cancer Hospital, Changsha 410000, China
| | - Zeng-Hui Huang
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China.,Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410000, China
| | - Hong-Chuan Nie
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China.,Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410000, China
| | - Wen-Bing Zhu
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China.,Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410000, China
| | - Yue-Qiu Tan
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China.,Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410000, China
| | - Li-Qing Fan
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medicine Science, Central South University, Changsha 410000, China.,Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410000, China
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19
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Geng T, Pan Y, Liu ZZ, Yuan C, Wang P, Meng X. Time-dependent Microhardness Gradients of Self-adhesive Resin Cements Under Dual- and Self-curing Modes. Oper Dent 2020; 45:E280-E288. [PMID: 33215201 DOI: 10.2341/19-006-l] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/15/2019] [Indexed: 11/23/2022]
Abstract
CLINICAL RELEVANCE Acid-functional monomers in self-adhesive resin cements may decrease their self-curing polymerization ability. Light irradiation optimizes polymerization performance. SUMMARY Purpose: The aim of this study was to investigate Knoop microhardness of self-adhesive resin cements under dual- and self-curing modes in simulated canals for describing the polymerization behavior.Methods and Materials: Slots in lightproof silicone cylinders with one open end were filled with the following eight materials: a traditional resin cement (Duolink), a core build-up resin material (MultiCore Flow), and six self-adhesive resin cements (RelyX Unicem 2, G-Cem Automix, Maxcem, Biscem, Multilink Speed, and PermaCem 2.0). The resins were exposed to light through the open end and then stored in a lightproof box. The Knoop hardness gradient for each resin was measured after 1 hour and 120 hours. Surface readings were obtained at 1-mm intervals from 1 mm to 10 mm away from the open ends. The data were analyzed by two-way analysis of variance and the Student-Newman-Keuls test (α=0.05).Results: All the resin materials had stable Knoop hardness numbers (KHNs) at a certain depth; their KHNs in the self-curing mode did not change (p>0.05). The region above this certain depth was regarded as having undergone the dual-curing mode, and the KHN decreased gradually with depth (p<0.05). Between 1 and 120 hours postexposure, the ratio of the KHN at a 5-mm depth (self-cured) to that at a 1-mm depth (dual-cured) increased in Duolink and MultiCore Flow. However, the ratios of the six adhesive resin cements varied.Conclusion: Without light, most self-adhesive resin cements differed from traditional dual-cured resin materials in terms of Knoop micro-hardness, and they had a lesser capacity for chemical-induced curing.
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20
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Gao XF, Ge Z, Kong XQ, Kan J, Han L, Lu S, Tian NL, Lin S, Lu QH, Wang XY, Li QH, Liu ZZ, Chen Y, Qian XS, Wang J, Chai DY, Chen CH, Pan T, Ye F, Zhang JJ, Chen SL. 3-Year Outcomes of the ULTIMATE Trial Comparing Intravascular Ultrasound Versus Angiography-Guided Drug-Eluting Stent Implantation. JACC Cardiovasc Interv 2020; 14:247-257. [PMID: 33541535 DOI: 10.1016/j.jcin.2020.10.001] [Citation(s) in RCA: 121] [Impact Index Per Article: 30.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/04/2020] [Accepted: 10/05/2020] [Indexed: 12/21/2022]
Abstract
OBJECTIVES The aim of this study was to explore the difference in target vessel failure (TVF) 3 years after intravascular ultrasound (IVUS) guidance versus angiographic guidance among all comers undergoing second-generation drug-eluting stent (DES) implantation. BACKGROUND The multicenter randomized ULTIMATE (Intravascular Ultrasound Guided Drug Eluting Stents Implantation in "All-Comers" Coronary Lesions) trial showed a lower incidence of 1-year TVF after IVUS-guided DES implantation among all comers compared with angiographic guidance. However, the 3-year clinical outcomes of the ULTIMATE trial remain unknown. METHODS A total of 1,448 all comers undergoing DES implantation who were randomly assigned to either IVUS guidance or angiographic guidance in the ULTIMATE trial were followed for 3 years. The primary endpoint was the risk for TVF at 3 years. The safety endpoint was definite or probable stent thrombosis (ST). RESULTS At 3 years, TVF occurred in 47 patients (6.6%) in the IVUS-guided group and in 76 patients (10.7%) in the angiography-guided group (p = 0.01), driven mainly by the decrease in clinically driven target vessel revascularization (4.5% vs. 6.9%; p = 0.05). The rate of definite or probable ST was 0.1% in the IVUS-guided group and 1.1% in the angiography-guided group (p = 0.02). Notably, the IVUS-defined optimal procedure was associated with a significant reduction in 3-year TVF relative to that with the suboptimal procedure. CONCLUSIONS IVUS-guided DES implantation was associated with significantly lower rates of TVF and ST during 3-year follow-up among all comers, particularly those who underwent the IVUS-defined optimal procedure compared with those with angiographic guidance. (Intravascular Ultrasound Guided Drug Eluting Stents Implantation in "All-Comers" Coronary Lesions; NCT02215915).
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Affiliation(s)
- Xiao-Fei Gao
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Zhen Ge
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiang-Quan Kong
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jing Kan
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Leng Han
- Department of Cardiology, Changshu No. 1 People's Hospital, Changshu, China
| | - Shu Lu
- Department of Cardiology, The First People's Hospital of Taicang, Taicang, China
| | - Nai-Liang Tian
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Song Lin
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Qing-Hua Lu
- Department of Cardiology, The Second Hospital of Shandong University, Jinan, China
| | - Xiao-Yan Wang
- Department of Cardiology, Wuxi Third People's Hospital, Wuxi, China
| | - Qi-Hua Li
- Department of Cardiology, Changzhou Traditional Chinese Medicine Hospital, Changzhou, China
| | - Zhi-Zhong Liu
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yan Chen
- Department of Cardiology, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China
| | - Xue-Song Qian
- Department of Cardiology, The First People's Hospital of Zhangjiagang, Zhangjiagang, China
| | - Juan Wang
- Department of Cardiology, Changshu No. 1 People's Hospital, Changshu, China
| | - Da-Yang Chai
- Department of Cardiology, The First People's Hospital of Taicang, Taicang, China
| | - Chong-Hao Chen
- Department of Cardiology, Wuxi Third People's Hospital, Wuxi, China
| | - Tao Pan
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Fei Ye
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jun-Jie Zhang
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
| | - Shao-Liang Chen
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
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21
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Huang PQ, Wang Y, Wang K, Liu ZZ. A Bilevel Optimization Approach for Joint Offloading Decision and Resource Allocation in Cooperative Mobile Edge Computing. IEEE Trans Cybern 2020; 50:4228-4241. [PMID: 31226093 DOI: 10.1109/tcyb.2019.2916728] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
This paper studies a multiuser cooperative mobile edge computing offloading (called CoMECO) system in a multiuser interference environment, in which delay-sensitive tasks may be executed on local devices, cooperative devices, or the primary MEC server. In this system, we jointly optimize the offloading decision and computation resource allocation for minimizing the total energy consumption of all mobile users under the delay constraint. If this problem is solved directly, the offloading decision and computation resource allocation are generally generated separately at the same time. Note, however, that they are closely coupled. Therefore, under this condition, their dependency is not well considered, thus leading to poor performance. We transform this problem into a bilevel optimization problem, in which the offloading decision is generated in the upper level, and then the optimal allocation of computation resources is obtained in the lower level based on the given offloading decision. In this way, the dependency between the offloading decision and computation resource allocation can be fully taken into account. Subsequently, a bilevel optimization approach, called BiJOR, is proposed. In BiJOR, candidate modes are first pruned to reduce the number of infeasible offloading decisions. Afterward, the upper-level optimization problem is solved by ant colony system (ACS). Furthermore, a sorting strategy is incorporated into ACS to construct feasible offloading decisions with a higher probability and a local search operator is designed in ACS to accelerate the convergence. For the lower-level optimization problem, it is solved by the monotonic optimization method. In addition, BiJOR is extended to deal with a complex scenario with the channel selection. Extensive experiments are carried out to investigate the performance of BiJOR on two sets of instances with up to 400 mobile users. The experimental results demonstrate the effectiveness of BiJOR and the superiority of the CoMECO system.
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22
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She Z, Jia LP, Yue Q, Ma H, Kang KJ, Li YJ, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Dai WH, Deng Z, Geng XP, Gong H, Gu P, Guo QJ, Guo XY, He L, He SM, He HT, Hu JW, Huang TC, Huang HX, Li HB, Li H, Li JM, Li J, Li MX, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Qiao CK, Ren J, Ruan XC, Sevda B, Shang CS, Sharma V, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wang Z, Wong HT, Wu SY, Xing HY, Xu Y, Xue T, Yan YL, Yang LT, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang L, Zhang FS, Zhang ZY, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Direct Detection Constraints on Dark Photons with the CDEX-10 Experiment at the China Jinping Underground Laboratory. Phys Rev Lett 2020; 124:111301. [PMID: 32242731 DOI: 10.1103/physrevlett.124.111301] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/26/2020] [Indexed: 06/11/2023]
Abstract
We report constraints on the dark photon effective kinetic mixing parameter (κ) with data taken from two p-type point-contact germanium detectors of the CDEX-10 experiment at the China Jinping Underground Laboratory. The 90% confidence level upper limits on κ of solar dark photon from 205.4 kg-day exposure are derived, probing new parameter space with masses (m_{V}) from 10 to 300 eV/c^{2} in direct detection experiments. Considering dark photon as the cosmological dark matter, limits at 90% confidence level with m_{V} from 0.1 to 4.0 keV/c^{2} are set from 449.6 kg-day data, with a minimum of κ=1.3×10^{-15} at m_{V}=200 eV/c^{2}.
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Affiliation(s)
- Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - P Gu
- College of Physics, Sichuan University, Chengdu 610064
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H T He
- College of Physics, Sichuan University, Chengdu 610064
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai, 519082
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M X Li
- College of Physics, Sichuan University, Chengdu 610064
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - C K Qiao
- College of Physics, Sichuan University, Chengdu 610064
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - B Sevda
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - C S Shang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - Z Wang
- College of Physics, Sichuan University, Chengdu 610064
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610064
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- NUCTECH Company, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610064
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610064
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23
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Liu ZZ, Wang XT, Liu XC, Wang ZY, An D, Jia CX. [Non-suicidal self-injury and exposure to suicidal behaviors among Chinese adolescents: a longitudinal study]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 40:1573-1577. [PMID: 32062918 DOI: 10.3760/cma.j.issn.0254-6450.2019.12.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Non-suicidal self-injury (NSSI) in adolescents appeared prevalent and multifactorial. This study was to examine the associations between exposure to suicidal behaviors and NSSI in the Chinese adolescents. Methods: Participants included for analyses were 5 154 adolescent students who participated in the baseline survey in 2015 and the first follow-up survey in 2016 of the Shandong Adolescent Behavior and Health Cohort, but with no history of NSSI at the baseline survey. A self-administered structured questionnaire was used to collect data on demographics, behavioral and emotional problems, lifetime and last-year NSSI. Data on the history of exposure to suicide attempt or death of a family member, friend, or close acquaintance were also collected. Multivariate logistic regression methods were used to examine the associations between exposure to suicidal behaviors and NSSI. Results: In the baseline survey, mean age of the 5 154 participants was (14.49±1.48) years, with 48.5% of the participants as girls. Of the participants, 9.0% reported having been exposed to suicidal behaviors, including 6.0% reported to suicide attempt, 4.9% to suicide death, 7.3% to suicidal behaviors of friends/close acquaintances, and 3.1% to suicidal behaviors of relatives. The prevalence rates of NSSI in the last year were significantly higher in adolescents who had been exposed to suicidal behaviors than those who had not (P<0.05). Results from the multivariate logistic regressions showed that exposure to suicide death (OR=1.91, 95%CI: 1.22-3.01) or to suicidal behaviors of relatives (OR=1.79, 95%CI: 1.02-3.12) were both significantly associated with the increased risk of NSSI. Conclusions: Experiences related to exposure to suicide-death or suicidal behaviors of relatives were associated with increased risk of NSSI in adolescents. After the suicide events, psychological counseling and health education programs set for high-risk groups were helpful in promoting physical and mental health and preventing the attempt of self-injury in teenagers.
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Affiliation(s)
- Z Z Liu
- Department of Epidemiology, Shandong University School of Public Health, Jinan 250012, China
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24
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Guo XH, Zhang JY, Jiao DC, Zhu JJ, Ma YZ, Yang Y, Xiao H, Liu ZZ. [The expression and significance of chromobox protein homolog 2 in breast cancer]. Zhonghua Yi Xue Za Zhi 2020; 100:130-135. [PMID: 31937053 DOI: 10.3760/cma.j.issn.0376-2491.2020.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To study the relationship between the expression of Chromobox protein homolog (CBX) mRNA and the clinicopathological prognosis of breast cancer, and to investigate the possibility of Chromobox protein homolog 2 as a therapeutic target for breast cancer. Methods: First, we analyzed the mRNA expression of 8 CBX family genes by METABRIC database, and investigated the relationship between the expression of CBX2 mRNA and the clinicopathological parameters of breast cancer. Then we explored its relationship with prognosis. CBX2 siRNA was used to treat breast cancer cell lines with high expression of CBX2(SUM159 and SUM1315). The effects of knockdown of CBX20 on mRNA and protein expression and cell proliferation were observed. Results: According to the analysis of METABRIC database, among the 8 CBX genes, the most obvious increase in mRNA expression was CBX2, and 22.47% (445/1 980) of the patients showed high mRNA expression. The high expression of CBX2 was closely related to tumor histological grade and the molecular type of breast cancer (P<0.001). Compared with the low-expression group of CBX2 mRNA, the proportion of HER2 breast cancer (28.1% vs 7.5%) and Basal-like (44.5% vs 8.5%) in the high-expression group were both higher. Patients with high CBX2 expression had significantly shorter disease-free survival (DFS) and overall survival (OS). The knockdown of CBX2 by siRNA inhibited the proliferation of breast cancer cells. Conclusion: CBX2 is closely related to the prognosis of breast cancer and may be a target for breast cancer treatment.
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Affiliation(s)
- X H Guo
- Department of Breast, Affiliated Cancer Hospital, Zhengzhou University, Zhengzhou 450008, China
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25
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Gao Z, Zhang HT, Wang J, Yu HM, Di XM, Xu K, Liu ZZ, Zhao JX. [The dosimetry comparison study between 3D print template and free-hand guided of precision (125)I seeds implantation on superficial metastatic carcinoma]. Zhonghua Yi Xue Za Zhi 2019; 99:3694-3698. [PMID: 31874492 DOI: 10.3760/cma.j.issn.0376-2491.2019.47.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To compare the dose difference of (125)I seeds implantation on superficial metastatic carcinoma between 3D print template guided operation and traditional implantation. To investigate the accuracy of seeds implantation according preplan guided by 3D print template. Methods: A total of 21 cases of patient with 27 lesions underwent (125)I seeds implantation from January 2015 to May 2018 in Hebei General Hospital were analyzed retrospectively. In which, ten lesions underwent seeds implantation guided by 3D print template (template group) and 17 lesions underwent free-hand traditional implantation (traditional group). All patients had been fixed as the position of operation and then performed CT scan. After preplan was designed, the 3D templates were printed in template group. Postplan was performed after the operation.The dose volume histogram, D90 was calculated. The D90 pre and post operation were collected and compared in each group. The difference of D90 and the percentage difference of D90 between pre and post operation were calculated by the formula D90d=D90post-D90pre, D90d%=(D90post-D90pre)/D90pre×100%, and compared the difference between two groups. Results: The mean D90 pre and post operation in template group were (92±26) and (93±27) Gy respectively, t=-0.749, P=0.473. The mean D90 pre and post operation in traditional group were (104±29) and (104±26) Gy respectively, t=-0.139, P=0.891. The difference of D90 in two groups were (3.1±2.4) and (10.0±8.7) Gy, Z=-2.5, P=0.012. The percentage difference of D90 in two groups were 3.1%±1.9% and 9.5%±7.9%, Compared with the traditional group, the template group had smaller fluctuations, and the difference was statistically significant (Z=-2.7, P=0.006) (all P<0.05). Conclusions: The dose parameters of 3D template guided seeds implantation between postplan and preplan are nearly consistent.3D template has good repeatability, which provides a theoretical basis for the popularization of 3D printing technology.
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Affiliation(s)
- Z Gao
- Department of Oncology, the Hebei General Hospital, Shijiazhuang 050051, China
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26
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Yang LT, Li HB, Yue Q, Ma H, Kang KJ, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Deng Z, Du Q, Gong H, Guo QJ, He L, Hu JW, Hu QD, Huang HX, Jia LP, Jiang H, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Ma JL, Mao YC, Pan H, Ren J, Ruan XC, Sharma V, She Z, Shen MB, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang JM, Wang L, Wang Q, Wang Y, Wang YX, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yi N, Yu CX, Yu HJ, Yue JF, Zeng XH, Zeng M, Zeng Z, Zhang FS, Zhang YH, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ, Zhu ZH. Search for Light Weakly-Interacting-Massive-Particle Dark Matter by Annual Modulation Analysis with a Point-Contact Germanium Detector at the China Jinping Underground Laboratory. Phys Rev Lett 2019; 123:221301. [PMID: 31868422 DOI: 10.1103/physrevlett.123.221301] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Indexed: 06/10/2023]
Abstract
We present results on light weakly interacting massive particle (WIMP) searches with annual modulation (AM) analysis on data from a 1-kg mass p-type point-contact germanium detector of the CDEX-1B experiment at the China Jinping Underground Laboratory. Datasets with a total live time of 3.2 yr within a 4.2-yr span are analyzed with analysis threshold of 250 eVee. Limits on WIMP-nucleus (χ-N) spin-independent cross sections as function of WIMP mass (m_{χ}) at 90% confidence level (C.L.) are derived using the dark matter halo model. Within the context of the standard halo model, the 90% C.L. allowed regions implied by the DAMA/LIBRA and CoGeNT AM-based analysis are excluded at >99.99% and 98% C.L., respectively. These results correspond to the best sensitivity at m_{χ}<6 GeV/c^{2} among WIMP AM measurements to date.
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Affiliation(s)
- L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - L He
- NUCTECH Company, Beijing 100084
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M B Shen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - J M Wang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - X H Zeng
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y H Zhang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Z H Zhu
- YaLong River Hydropower Development Company, Chengdu 610051
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27
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Liu ZZ, Tian YF, Wu H, Ouyang SY, Kuang WL. LncRNA H19 promotes glioma angiogenesis through miR-138/HIF-1α/VEGF axis. Neoplasma 2019; 67:111-118. [PMID: 31777264 DOI: 10.4149/neo_2019_190121n61] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 07/09/2019] [Indexed: 11/08/2022]
Abstract
Glioma is one of the most common and aggressive malignant primary brain tumors with high recurrence rate and mortality rate and heavily depends on the angiogenesis. LncRNA H19 has many diverse biological functions, including the regulation of cell proliferation, differentiation and metabolism. Here, we aimed to investigate the molecular mechanism of lncRNA H19 affecting angiogenesis in glioma, which could help to uncover potential target for glioma therapy. RT-qPCR analysis was performed to detect the expression of lncRNA H19 and miR-138 in HEB, U87, A172 and U373 cell lines. MTT assay was used to evaluate the cell viability. To evaluate the migration and invasion after lncRNA H19 knockdown, Transwell and wound healing assay were employed. After lncRNA H19 knockdown, protein expression of HIF 1α and VEGF was detected by western blot and tube formation was assessed. For the prediction and validation of the interaction between lncRNA H19 and miR-138, bioinformatics and luciferase assay were performed. We investigated the regulatory roles and downstream molecular mechanisms of lncRNA H19 in glioma by knockdown H19, which inhibited the proliferation, migration and angiogenesis of glioma cells. Moreover, miR-138 acted as a target of H19 as detected by luciferase reporter assays. Meanwhile, HIF-1α was also a target of miR-138 and miR-138 could also regulate the proliferation, migration and angiogenesis of glioma cells by targeting HIF-1α and affecting the expression of VEGF in turn. Our findings identified an upregulated lncRNA H19 in glioma cells, which could promote proliferation, migration, invasion and angiogenesis via miR-138/HIF-1α axis as a ceRNA. This study provided a new opportunity to advance our understanding in the potential mechanism of lncRNA in glioma angiogenesis.
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Affiliation(s)
- Z Z Liu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Y F Tian
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
| | - H Wu
- Department of Internal Medicine, Qidong County Hospital of Traditional Chinese Medicine, Hengyang, China
| | - S Y Ouyang
- Department of Chest Radiotherapy, Hunan Cancer Hospital, Changsha, China
| | - W L Kuang
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
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28
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Liu ZZ, Yue Q, Yang LT, Kang KJ, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Deng Z, Du Q, Gong H, Guo XY, Guo QJ, He L, He SM, Hu JW, Hu QD, Huang HX, Jia LP, Jiang H, Li HB, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Ma H, Ma JL, Mao YC, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, Sharma V, She Z, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang FS, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Constraints on Spin-Independent Nucleus Scattering with sub-GeV Weakly Interacting Massive Particle Dark Matter from the CDEX-1B Experiment at the China Jinping Underground Laboratory. Phys Rev Lett 2019; 123:161301. [PMID: 31702340 DOI: 10.1103/physrevlett.123.161301] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Indexed: 06/10/2023]
Abstract
We report results on the searches of weakly interacting massive particles (WIMPs) with sub-GeV masses (m_{χ}) via WIMP-nucleus spin-independent scattering with Migdal effect incorporated. Analysis on time-integrated (TI) and annual modulation (AM) effects on CDEX-1B data are performed, with 737.1 kg day exposure and 160 eVee threshold for TI analysis, and 1107.5 kg day exposure and 250 eVee threshold for AM analysis. The sensitive windows in m_{χ} are expanded by an order of magnitude to lower DM masses with Migdal effect incorporated. New limits on σ_{χN}^{SI} at 90% confidence level are derived as 2×10^{-32}∼7×10^{-35} cm^{2} for TI analysis at m_{χ}∼50-180 MeV/c^{2}, and 3×10^{-32}∼9×10^{-38} cm^{2} for AM analysis at m_{χ}∼75 MeV/c^{2}-3.0 GeV/c^{2}.
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Affiliation(s)
- Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
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Li JT, Zhao HM, Guo XH, Tian PQ, Lü MH, Li LF, Liu ZZ, Cui SD, Zhang HW. [Preoperative evaluation of sentinel lymph node biopsy using contrast-enhanced ultrasonography in early breast cancer patients and the involved disturbing factors]. Zhonghua Yi Xue Za Zhi 2019; 99:1086-1089. [PMID: 30982257 DOI: 10.3760/cma.j.issn.0376-2491.2019.14.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the preoperative evaluation of sentinel lymph node (SLN) biopsy using contrast-enhanced ultrasonography (CEUS) in early breast cancer patients and the involved disturbing factors. Methods: Eighty-three female early breast cancer patients who underwent concurrent surgery in the Affiliated Cancer Hospital of Zhengzhou University between January 2017 and May 2018 were enrolled. CEUS was used to seek SLN and determine lymph node metastasis after signature of preoperative informed consent. Rapid pathological examination was used to determine whether metastasis existed in SLN. The sensitivity, specificity, accuracy, the differences between CEUS and pathological results, and the involved disturbing factors were evaluated. Results: A total of 212 SLNs were detected by CEUS and SLN biopsy with an average of 2.6 SLNs detected per patient, including 39 SLNs with cancer metastasis (18.4%) and 173 SLNs without cancer metastasis (81.6%). Among the 83 patients, 29 patients were predicted SLN-positive preoperatively utilizing CEUS (including 21 cases with SLN pathological metastasis and 8 cases with non-metastasis), 54 patients were predicted SLN-negative (including 5 cases with SLN pathological metastasis and 49 cases with non-metastasis). The preoperative evaluation of SLN utilizing CEUS were performed with a sensitivity of 80.8% (21/26), specificity of 86.0% (49/57), positive predictive value of 72.4% (21/29), and negative predictive value of 90.7% (49/54), positive likelihood ratio of 5.75, negative likelihood ratio of 0.22, and the accuracy of 84.3% (70/83), respectively. The area under the ROC curve (AUC) was 0.834 (95% CI: 0.736-0.906). The primary tumor mean size of SLN-negative group predicted preoperatively utilizing CEUS was (1.78±0.14) cm, and that of the SLN positive group was (2.64±0.19) cm. The difference between the two groups was (0.86±0.24) cm with statistical significance (P=0.000 6). The SLN mean size of SLN-negative group (141 SLNs) was (1.41±0.05) cm and that of SLN-positive group (71 SLNs) was (1.69±0.07) cm. The difference between the two groups was (0.28±0.09) cm with statistical significance (P=0.002 8). Conclusions: Preoperative CEUS possesses the predictive value for SLN metastasis in early breast cancer. The predicted results may be influenced by the primary tumor size and the SLN size.
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Affiliation(s)
- J T Li
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - H M Zhao
- Department of Ultrasound, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - X H Guo
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - P Q Tian
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - M H Lü
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - L F Li
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - Z Z Liu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - S D Cui
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - H W Zhang
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
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Liu ZZ, Wang Y, Yang S, Tang K. An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms. IEEE Trans Cybern 2019; 49:1403-1416. [PMID: 29993876 DOI: 10.1109/tcyb.2018.2802912] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The performance of many nature-inspired optimization algorithms (NIOAs) depends strongly on their implemented coordinate system. However, the commonly used coordinate system is fixed and not well suited for different function landscapes, NIOAs thus might not search efficiently. To overcome this shortcoming, in this paper we propose a framework, named ACoS, to adaptively tune the coordinate systems in NIOAs. In ACoS, an Eigen coordinate system is established by making use of the cumulative population distribution information, which can be obtained based on a covariance matrix adaptation strategy and an additional archiving mechanism. Since the population distribution information can reflect the features of the function landscape to some extent, NIOAs in the Eigen coordinate system have the capability to identify the modality of the function landscape. In addition, the Eigen coordinate system is coupled with the original coordinate system, and they are selected according to a probability vector. The probability vector aims to determine the selection ratio of each coordinate system for each individual, and is adaptively updated based on the collected information from the offspring. ACoS has been applied to two of the most popular paradigms of NIOAs, i.e., particle swarm optimization and differential evolution, for solving 30 test functions with 30D and 50D at the 2014 IEEE Congress on Evolutionary Computation. The experimental studies demonstrate its effectiveness.
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31
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Niu JW, Ning W, Zhou L, Pei DP, Meng FQ, Liu ZZ. [Application of preventive flap-placement of terminal ileostomy in laparoscopic radical resection of low rectal cancer]. Zhonghua Yi Xue Za Zhi 2019; 99:750-753. [PMID: 30884628 DOI: 10.3760/cma.j.issn.0376-2491.2019.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the value of preventive flap placement of terminal ileostomy in laparoscopic radical resection of low rectal cancer. Methods: A retrospective analysis was conducted in the patients (n=63) who received preventive terminal ileostomy in laparoscopic radical resection of low rectal cancer in our institution from April 2016 to March 2018, including 33 patients who underwent ileostomy with flap-placement (flap group), and 30 patients who underwent ileostomy with stent (stent group). Clinical data were collected from both groups and statistically analyzed. Results: All patients were successfully completed laparoscopic radical resection with preventive ileostomy. All patients of stent group received stoma-closure surgery one month later after rectal resection. There were significantly statistical differences in operating time of ileostomy (28.9±4.3 vs 36.3±2.3, t=11.73, P<0.001) and overall stoma-related complications (1 vs 7, χ(2)=4.155, P=0.042), but no difference in anastomosis leakage, operating time of stoma-reversal, parastomal infection, parastomal hernia and parastomal prolapse. Conclusions: Preventive flap placement of terminal ileostomy represents a secure and feasible approach to laparoscopic low rectal cancer resection. Patients can be released from the discomfort of removing the stent and may suffer fewer stoma-related complications.
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Affiliation(s)
- J W Niu
- Department of General Surgery, China-Japan Friendship Hospital, Beijing 100029, China
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Lu BC, Shi XJ, Liang L, Dong N, Liu ZZ. Platelet Surface CD62p and Serum Vitamin D Levels are Associated with Clopidogrel Resistance in Chinese Patients with Ischemic Stroke. J Stroke Cerebrovasc Dis 2019; 28:1323-1328. [PMID: 30795966 DOI: 10.1016/j.jstrokecerebrovasdis.2019.01.031] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 01/21/2019] [Accepted: 01/27/2019] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND To explore the association of platelet activation markers, vitamin D, and antiplatelet drugs resistance in ischemic stroke patients. METHODS A total of 230 patients with ischemic stroke were enrolled in this study. Platelet aggregation, platelet activation marker (CD62p), and vitamin D were measured after 7-14 days of dual antiplatelet treatment (aspirin + clopidogrel). All individuals were divided into a drug resistance group and a drug sensitive group according to the platelet maximum aggregation rate induced by antagonist adenosine diphosphate or arachidonic acid. RESULTS In this study, the prevalence of aspirin resistance was low (1.2%), while the prevalence of clopidogrel resistance (CR) was 24.8%, so we focused on CR. The percentage of CD62p on activated platelet [(25.74 ± 4.61) versus (12.41 ± 3.93), P < .001] and the prevalence of hypertension [93.0% (53) versus 79.8% (138), P = .021] in CR group were significantly higher than those in clopidogrel sensitive (CS) group, while the vitamin D concentration [(8.96 ± 4.41) versus (13.9 ± 4.84) ng/mL, P = .003] in CR group was significantly lower compared with the CS group. No significant difference was found in soluble P-selectin between these 2 groups [(56.2 ± 16.13) versus (54.2 ± 14.87) ng/mL, P = .258], neither in calcium [(2.29 ± .12) versus (2.33 ± .13) mmol/L, P = .821]. Logistic regression analysis showed that hypertension (odds ratio [OR] = 5.348, 95% confidence intervals [CI] 1.184-23.350, P = .026), expression of platelet CD62p (OR = 1.095, 95% CI 1.052-1.201, P = .018) and vitamin D level (OR = .832, 95% CI .763-.934, P = .005) were associated with CR in ischemic stroke patients. CONCLUSIONS CR in ischemic stroke patients is associated with several independent predictors, including increased platelet activation marker CD62p, decreased vitamin D level, and hypertension.
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Affiliation(s)
- Bi-Chao Lu
- Department of clinical laboratory, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Xiao-Jie Shi
- Department of clinical laboratory, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Lin Liang
- Department of clinical laboratory, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Na Dong
- Department of clinical laboratory, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China
| | - Zhi-Zhong Liu
- Department of clinical laboratory, Beijing Bo'ai Hospital, China Rehabilitation Research Center, Beijing, China; Center for Laboratory Diagnosis, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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33
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Zhu JJ, Jiao DC, Qiao JH, Wang LN, Ma YZ, Lu ZD, Liu ZZ. [Analysis of predictive effect of Androgen receptor on the response to neoadjuvant chemotherapy in breast cancer patients]. Zhonghua Yi Xue Za Zhi 2018. [PMID: 29534389 DOI: 10.3760/cma.j.issn.0376-2491.2018.08.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the expression of androgen receptor (AR) in the tissues as well as its association with the clinicopathological factors of primary breast cancer patients treated with neoadjuvant chemotherapy (NAC), and analyze the effect of AR in the prediction of pathologic complete response (PCR) rate. Method: A total of 668 breast cancer patients treated with NAC in Henan Cancer Hospital between March 2014 and June 2017 were retrospectively reviewed. The relationship of AR expression and clinicopathological characteristics was calculated using chi square test. Multivariate analysis using binary Logistic regression was used to analyze correlations of different factors with PCR. Result: All patients were female, with the age of 20-76 years old. AR was detected in 74.6% of tumors, and significantly correlated with hormone receptor (HR), human epidermalgrowth factor receptor-2 (HER-2), Ki-67, CK5/6, epidermal growth factor receptor (EGFR) and molecular subtypes (all P<0.05). Multivariate analysis showed that AR, HR and HER-2 were independent predictors for PCR (all P<0.05). Conclusions: The expressions of AR were more frequently in HR positive breast cancer tissues (86.7%), and lowest in triple-negative breast cancer (TNBC) group (23.2%). AR was independent predictor for PCR.
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Affiliation(s)
- J J Zhu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
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Yang ZJ, Yu HM, Liang YS, Zhao JX, Liu ZZ, Li HJ, Wang J, Zhang HT. [The effect of pre-operation (125)I seed activity measuring on dose accuracy]. Zhonghua Yi Xue Za Zhi 2018; 98:3336-3338. [PMID: 30440124 DOI: 10.3760/cma.j.issn.0376-2491.2018.41.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Objective: To measure the activity of (125)I seed and compare the dose difference of ten patients treated with seed implantation in pre-plan with actual seed activity and calibrate activity. Method: The activity of 100 seeds from company A and B was measured with a well-type ionization chamber 1 day before operation and named group A and B. The activity of two groups was compared and the error between actual and calibrate activity (22.2 MBq, group C) was calculated. Ten patients implanted with (125)I seeds from November 1 st to 30 th, 2017, solstice 30 were selected in Hebei General Hospital. Firstly, pre-plans were designed with 22.2 MBq, prescribed dose were 100-140 Gy. The dose parameters of 90% volume absorbed dose (D(90)), 150% volume fraction (V(150)) and 100% volume fraction (V(100)) were calculated. Then changed 22.2 MBq to actual activity of group A and B, calculated the dose parameters above again. Then dose parameters of D(90), V(150), V(100) in group C were compared with those in group A and B respectively. Result: The actual activity 1 day before the operation was(22.6±0.7)and(23.9±0.9)MBq in group A and B respectively. Compared with 22.2 MBq, the difference was statistically significant(t=5.7, P<0.05 and t=19.2, P<0.05), and the activity error of group B was greater than 5%. The D(90) of group A, B and C were (124.3±9.7) , (131.2±10.2) and (121.9±9.5) Gy respectively.The V(150) were 58.4%±9.4%, 63.7%±8.9% and 56.5%±9.2% respectively. The V(100) were 88.9%±5.0%, 92.0%±4.1%, 88.1%±5.2% respectively.The difference of D(90) between calibrate activity(group C) and actual activity(group A and B) were statistically significant (t=40.2, P<0.05 and t=40.3, P<0.05). The difference of V(150) between group C and group A and B were statistically significant (t=7.5, P<0.05 and t=24.7, P<0.05). The difference of V(100) between group C and group A and B were statistically significant (t=6.6, P<0.05 and t=7.3, P<0.05). Conclusion: There is difference between the actual activity and calibration activity. The difference affects the dose parameters in pre-plan.The seed activity should be measured before operation strictly and the pre-plan should be designed with the actual activity.
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Affiliation(s)
- Z J Yang
- Division I, Department of Oncology, Hebei General Hospital, Shijiazhuang 050000, China
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Chen ZX, Li QC, Liu ZZ, Liang RD, Huang B. [Long non-coding RNA RAB11B-AS1 prevents osteosarcoma proliferation via its sense gene RAB11B]. Zhonghua Yi Xue Za Zhi 2018; 98:2509-2514. [PMID: 30139005 DOI: 10.3760/cma.j.issn.0376-2491.2018.31.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To detect the expression of lncRNA RAB11B-AS1 in osteosarcoma and investigate its role in osteosarcoma cells proliferation and the responsible mechanisms. Methods: Osteosarcoma and corresponding adjacent normal tissues were collected from 24 patients subjected to operations from October 2015 to October 2017 in the Third Affiliated Hospital of Southern Medical University.RAB11B-AS1 expression was detected in osteosarcoma specimens by quantitative real-time polymerase chain reaction (qRT-PCR). Lentiviral vectors that stably over-expressing RAB11B-AS1 were constructed and transfected into U2OS osteosarcoma cell line.The effect of RAB11B-AS1 on osteosarcoma cell proliferation and apoptosis was investigated by cell counting kit (CCK-8) assay and flow cytometry.U2OS osteosarcoma xenograft model of nude mice was established to observe the effect of RAB11B-AS1 on xenograft growth in mice, and the role of RAB11B-AS1 in proliferation and apoptosis of osteosarcoma cells was investigated by immunohistochemistry and TUNEL staining of osteosarcoma slices.The relationship between RAB11B-AS1 and RAB11B was explored using luciferase reporter assay.The data were compared with t test between the two groups. Results: Expression of RAB11B-AS1 was significantly down-regulated in osteosarcoma (0.010±0.015) versus their paired non-neoplastic tissues (0.022±0.030) (t=2.117, P=0.045). Up-regulation of RAB11B-AS1 resulted in decreased proliferative rate of U2OS cells (F=15.659, P<0.001). The ratios of cells in G0-G1 phase, S phase, G2-M phase were 62.6%±6.3%, 21.4%±2.2%, 16.3%±1.6% respectively in RAB11B-AS1 up-regulated group versus 59.4%±5.9%, 25.9%±2.6%, 15.5%±1.1% respectively in control group, and cell ratio in G0-G1 and S phase were increased significantly by RAB11B-AS1 up-regulation (t=17.124, 17.321, both P<0.05). Apoptosis rate was significantly elevated in RAB11B-AS1 over-expressed cells (12.7%±1.3%) when compared with that in control (10.3%±1.0%)(t=17.321, P=0.003). Mice transplanted with osteosarcoma cells that overexpressed RAB11B-AS1 exhibited lower growth rate of tumor (F=8.798, P=0.009). Mechanistically, RAB11B-AS1 expression correlated negatively with RAB11B expression (r=-0.356, P=0.044). Conclusions: lncRNA RAB11B-AS1 expression is down-regulated significantly in osteosarcoma tissues.RAB11B-AS1 may suppress the progression of osteosarcoma via down-regulating RAB11B.
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Affiliation(s)
- Z X Chen
- Department of Orthopedics, the Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, China
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Jiang H, Jia LP, Yue Q, Kang KJ, Cheng JP, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Deng Z, Du Q, Gong H, He L, Hu JW, Hu QD, Huang HX, Li HB, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Ma H, Ma JL, Pan H, Ren J, Ruan XC, Sevda B, Sharma V, Shen MB, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang JM, Wang L, Wang Q, Wang Y, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yang LT, Yang SW, Yi N, Yu CX, Yu HJ, Yue JF, Zeng XH, Zeng M, Zeng Z, Zhang FS, Zhang YH, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ, Zhu ZH. Limits on Light Weakly Interacting Massive Particles from the First 102.8 kg×day Data of the CDEX-10 Experiment. Phys Rev Lett 2018; 120:241301. [PMID: 29956956 DOI: 10.1103/physrevlett.120.241301] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 05/07/2018] [Indexed: 06/08/2023]
Abstract
We report the first results of a light weakly interacting massive particles (WIMPs) search from the CDEX-10 experiment with a 10 kg germanium detector array immersed in liquid nitrogen at the China Jinping Underground Laboratory with a physics data size of 102.8 kg day. At an analysis threshold of 160 eVee, improved limits of 8×10^{-42} and 3×10^{-36} cm^{2} at a 90% confidence level on spin-independent and spin-dependent WIMP-nucleon cross sections, respectively, at a WIMP mass (m_{χ}) of 5 GeV/c^{2} are achieved. The lower reach of m_{χ} is extended to 2 GeV/c^{2}.
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Affiliation(s)
- H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, Ízmir 35160
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L He
- NUCTECH Company, Beijing 100084
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - B Sevda
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, Ízmir 35160
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M B Shen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - J M Wang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - S W Yang
- Institute of Physics, Academia Sinica, Taipei 11529
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - X H Zeng
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y H Zhang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Z H Zhu
- YaLong River Hydropower Development Company, Chengdu 610051
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Qin FF, Liu ZZ, Zhang Z, Zhang Q, Xiao JJ. Broadband full-color multichannel hologram with geometric metasurface. Opt Express 2018; 26:11577-11586. [PMID: 29716076 DOI: 10.1364/oe.26.011577] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 01/14/2018] [Indexed: 06/08/2023]
Abstract
Due to the abilities of manipulating the wavefront of light with well-controlled amplitude, and phase and polarization, optical metasurfaces are very suitable for optical holography, enabling applications with multiple functionalities and high data capacity. Here, we demonstrate encoding two- and three-dimensional full-color holographic images by an ultrathin metasurface hologram whose unit cells are subwavelength nanoslits with spatially varying orientations. We further show that it is possible to achieve full-color holographic multiplexing with such kind of geometric metasurfaces, realized by a synthetic spectrum holographic algorithm. Our results provide an efficient way to design multi-color optical display elements that are ready for fabrication.
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Jiao DC, Zhu JJ, Qiao JH, Wang LN, Ma YZ, Lu ZD, Liu ZZ. [The influence of lumpectomy on the axillary lymph node status of breast cancer patients]. Zhonghua Zhong Liu Za Zhi 2018; 40:284-287. [PMID: 29730916 DOI: 10.3760/cma.j.issn.0253-3766.2018.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the influence of lumpectomy on axillary lymph node status of breast cancer patients. Methods: The clinical data of 738 invasive breast cancer patients with non-palpable axillary lymph node and sentinel lymph node (SLN) biopsy from November 2011 to August 2013 in Henan Provincial Cancer Hospital were collected and retrospectively analyzed. Among them, 136 patients underwent preoperative lumpectomy (lumpectomy group) and 602 patients underwent puncture biopsy only (biopsy group). The difference of axillary lymph node status and positive ratio of SLN detected by color Doppler ultrasound were compared between these two groups. Results: Among the 738 breast cancer patients, the axillary lymph nodes of 444 (60.2%) cases could be detected by ultrasound. Among them, 92 cases belonged to lumpectomy group, significantly less than 352 cases of biopsy group (P=0.048). Among the patients with ultrasound-visible lymph nodes, the proportion of the biggest diameter of axillary lymph node >1 cm of lumpectomy group or biopsy group was 58.7% (54/92) or 52.8% (186/352), respectively, without significant difference (P=0.316). The proportion of patients with the ratio of long diameter to short diameter <2 of lumpectomy group or biopsy group was 37.0% (34/92) or 38.6% (136/352), respectively, with marginal difference (P=0.768). The positive rate of SLN of lumpectomy group or biopsy group was 23.5% (32/136) or 26.9% (162/602), respectively, without significant difference (P=0.419). The incidence rate of the ultrasound visible axillary lymph nodes of patients whose postoperative time ≤ 7 days or > 7days was 71.1% (64/90) or 60.9% (8/46), respectively, without significant difference (P=0.227). However, the positive rate of SLN of these two groups was 28.9% (26/90) and 13.0% (6/46), respectively, with significant difference (P=0.039). The number of ultrasound visible axillary lymph nodes, the biggest diameter of axillary lymph nodes and the ratio of the long diameter to short diameter <2 were substantially correlated with the positive rate of SLN (P<0.05). Conclusions: The incidence rate of ultrasound visible axillary lymph node in the patients with lumpectomy is higher than that of patients with puncture biopsy only. The positive rate of SLN of the patients with a long postoperative time is lower than that of patients with a short postoperative time, even though the axillary lymph nodes are ultrasound visible.
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Affiliation(s)
- D C Jiao
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - J J Zhu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - J H Qiao
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - L N Wang
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - Y Z Ma
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - Z D Lu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - Z Z Liu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
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Zhang JJ, Gao XF, Han YL, Kan J, Tao L, Ge Z, Tresukosol D, Lu S, Ma LK, Li F, Yang S, Zhang J, Munawar M, Li L, Zhang RY, Zeng HS, Santoso T, Xie P, Jin ZN, Han L, Yin WH, Qian XS, Li QH, Hong L, Paiboon C, Wang Y, Liu LJ, Zhou L, Wu XM, Wen SY, Lu QH, Yuan JQ, Chen LL, Lavarra F, Rodríguez AE, Zhou LM, Ding SQ, Vichairuangthum K, Zhu YS, Yu MY, Chen C, Sheiban I, Xia Y, Tian YL, Shang ZL, Jiang Q, Zhen YH, Wang X, Ye F, Tian NL, Lin S, Liu ZZ, Chen SL. Treatment effects of systematic two-stent and provisional stenting techniques in patients with complex coronary bifurcation lesions: rationale and design of a prospective, randomised and multicentre DEFINITION II trial. BMJ Open 2018; 8:e020019. [PMID: 29511018 PMCID: PMC5855162 DOI: 10.1136/bmjopen-2017-020019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
INTRODUCTION Provisional stenting (PS) for simple coronary bifurcation lesions is the mainstay of treatment. A systematic two-stent approach is widely used for complex bifurcation lesions (CBLs). However, a randomised comparison of PS and two-stent techniques for CBLs has never been studied. Accordingly, the present study is designed to elucidate the benefits of two-stent treatment over PS in patients with CBLs. METHODS AND ANALYSIS This DEFINITION II study is a prospective, multinational, randomised, endpoint-driven trial to compare the benefits of the two-stent technique with PS for CBLs. A total of 660 patients with CBLs will be randomised in a 1:1 fashion to receive either PS or the two-stent technique. The primary endpoint is the rate of 12-month target lesion failure defined as the composite of cardiac death, target vessel myocardial infarction (MI) and clinically driven target lesion revascularisation. The major secondary endpoints include all causes of death, MI, target vessel revascularisation, in-stent restenosis, stroke and each individual component of the primary endpoints. The safety endpoint is the occurrence of definite or probable stent thrombosis. ETHICS AND DISSEMINATION The study protocol and informed consent have been approved by the Institutional Review Board of Nanjing First Hospital, and accepted by each participating centre. Written informed consent was obtained from all enrolled patients. Findings of the study will be published in a peer-reviewed journal and disseminated at conferences. TRIAL REGISTRATION NUMBER NCT02284750; Pre-results.
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Affiliation(s)
- Jun-Jie Zhang
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nangjing, Jiangsu, China
| | - Xiao-Fei Gao
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nangjing, Jiangsu, China
| | - Ya-Ling Han
- Department of Cardiology, The General Hospital of Shenyang Military, Shenyang, China
| | - Jing Kan
- Department of Cardiology, Nanjing Heart Center, Nanjing, China
| | - Ling Tao
- Department of Cardiology, Xijing Hospital, 4th Military Medical University, Xi’an, China
| | - Zhen Ge
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nangjing, Jiangsu, China
| | - Damras Tresukosol
- Department of Cardiology, Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Shu Lu
- Department of Cardiology, Taicang People’s Hospital, Taicang, China
| | - Li-Kun Ma
- Department of Cardiology, Anhui Provincial Hospital, Hefei, Anhui, China
| | - Feng Li
- Department of Cardiology, Huainan Eastern Hospital, Huainan, China
| | - Song Yang
- Department of Cardiology, Yixin People’s Hospital, Yixing, China
| | - Jun Zhang
- Department of Cardiology, Cangzhou Central Hospital, Cangzhou, China
| | - Muhammad Munawar
- Department of Cardiology, Binawaluya Cardiac Center, Jakarta, Indonesia
| | - Li Li
- Department of Cardiology, Guangzhou Red Cross Hospital, Guangzhou, Guangdong, China
| | - Rui-Yan Zhang
- Department of Cardiology, Shanghai Ruijin Hospital, Shanghai, China
| | - He-Song Zeng
- Department of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Teguh Santoso
- Department of Cardiology, Medistra Hospital, University of Indonesia, Jakarta, Indonesia
| | - Ping Xie
- Department of Cardiology, Gansu Provincial Hospital, Lanzhou, China
| | - Ze-Ning Jin
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Leng Han
- Department of Cardiology, Changshu First People’s Hospital, Changshu, China
| | - Wei-Hsian Yin
- Department of Cardiology, Cheng-Hsin General Hospital, Taipei, China
| | - Xue-Song Qian
- Department of Cardiology, Zhangjiagang First People’s Hospital, Zhangjiagang, China
| | - Qi-Hua Li
- Department of Cardiology, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China
| | - Lang Hong
- Department of Cardiology, Jiangxi Provincial People’s Hospital, Nanchang, Jiangxi, China
| | | | - Yan Wang
- Department of Cardiology, Xia’Men Zhongshan Hospital, Xia’men, China
| | - Li-Jun Liu
- Department of Cardiology, Huainan First People’s Hospital, Huainan, China
| | - Lei Zhou
- Department of Cardiology, Jintan People’s Hospital, Jintan, China
| | - Xue-Ming Wu
- Department of Cardiology, Wuxi Third People’s Hospital, Wuxi, China
| | - Shang-Yu Wen
- Department of Cardiology, Daqing Oil General Hospital, Daqing, China
| | - Qing-Hua Lu
- Department of Cardiology, The Second Hospital of Shandong University, Ji’nan, China
| | - Jun-Qiang Yuan
- Department of Cardiology, Xinyang Central Hospital, Xinyang, Henan, China
| | - Liang-Long Chen
- Department of Cardiology, Fujian Union Hospital, Fuzhou, China
| | | | | | - Li-Min Zhou
- Department of Cardiology, Chuzhou First People’s Hospital, Chuzhou, China
| | - Shi-Qin Ding
- Department of Cardiology, Huainan Xinhua Hospital, Huainan, China
| | | | - Yuan-Sheng Zhu
- Department of Cardiology, Huai’an Second People’s Hospital, Huai’an, China
| | - Meng-Yue Yu
- Department of Cardiology, Qingdao Fuwai Hospital, Qingdao, China
| | - Chan Chen
- Department of Cardiology, The Affiliated Hospital of Guangdong Medical University, Guangzhou, China
| | - Imad Sheiban
- Department of Cardiology, University of Turin, Turin, Italy
| | - Yong Xia
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yu-Long Tian
- Department of Cardiology, Xuyi People’s Hospital, Xuyi, China
| | - Zheng-Lu Shang
- Department of Cardiology, Wuxi Huishan District People’s Hospital, Wuxi, China
| | - Qing Jiang
- Department of Cardiology, Anqing First People’s Hospital, Anqing, China
| | - Yong-Hong Zhen
- Department of Cardiology, Liyang Hospital of Traditional Chinese Medicine, Liyang, China
| | - Xin Wang
- Department of Cardiology, Lianyungang Hospital of Traditional Chinese Medicine, Lianyungang, China
| | - Fei Ye
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nangjing, Jiangsu, China
| | - Nai-Liang Tian
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nangjing, Jiangsu, China
| | - Song Lin
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nangjing, Jiangsu, China
| | - Zhi-Zhong Liu
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nangjing, Jiangsu, China
| | - Shao-Liang Chen
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nangjing, Jiangsu, China
- Department of Cardiology, Nanjing Heart Center, Nanjing, China
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Niu JW, Ning W, Wang WY, Pei DP, Meng FQ, Liu ZZ, Cai DG. [Clinical effect of preservation of the left colonic artery in laparoscopic anterior resection for rectal cancer]. Zhonghua Yi Xue Za Zhi 2018; 96:3582-3585. [PMID: 27916080 DOI: 10.3760/cma.j.issn.0376-2491.2016.44.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the value and feasibility of preservation of the left colonic artery (LCA) in laparoscopic anterior resection for rectal cancer. Methods: The clinical data of 97 patiens who received laparoscopic anterior resection of rectal cancer from 2009.3 to 2015.3 were randomly divided into two groups, including 52 cases with preservation of LCA and 45 cases without preservation of LCA. The operation time, quantity of bleeding, number of lymph nodes removed around the root of inferior mesenteric artery (IMA), the rate of lymph node metastasis around the root of IMA, the incidence of transverse colostomy and anastomotic leak were compared between the two groups. Results: All 97 operations were successfully completed by laparoscopic operation. There were significantly statistical differences in operation time, quantity of bleeding and transverse colon stoma between two groups(P<0.05), but no difference in the number of lymph nodes removed and the rate of lymph node metastasis. Conclusions: The preservation of the left colonic artery in laparoscopic anterior resection of rectal cancer can preserve more supplying vessels for anastomosis and prevent anastomotic leak.
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Affiliation(s)
- J W Niu
- Department of General Surgery, China-Japan Friendship Hospital, Beijing 100029, China
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Chen YH, Liu X, Liu ZZ, Li K, Yang L, Zhang HT, Zeng CH, Xu F, Hu WX. [Prognosis and its risk factors in ANCA-associated glomerulonephritis patients treated with initial renal replacement therapy]. Zhonghua Yi Xue Za Zhi 2018; 98:274-279. [PMID: 29397613 DOI: 10.3760/cma.j.issn.0376-2491.2018.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the prognosis and its risk factors in anti-neutrophil cytoplasmic antibodies (ANCA)-associated glomerulonephritis (AAGN) patients who needed initial renal replacement therapy (RRT). Methods: One hundred patients [54 females, 46 males, with a median age of 54(41, 60) years] with biopsy-proven AAGN and requiring initial RRT between January 1996 and December 2016 in Nanjing Jinling Hospital were included. Intensive immunotherapy indicated that the patients received corticosteroids in combination with cyclophosphamide or mycophenolate mofetil, or immunoadsorption (IA) or double filtration plasmapheresis (DFPP). The clinical and histological risk factors for renal survival were analyzed. Results: Forty-one patients were free of RRT after a median time of 1 (0.5, 2) month treatment (dialysis-independent group), and the remaining 59 patients were on maintenance dialysis (dialysis-dependent group). The multivariate logistic analysis revealed that the proportion of normal glomeruli <8% (OR=5.95, P=0.002) and global sclerotic glomeruli ≥50% (OR=4.87, P=0.003), and not receiving intensive immunotherapy (OR=7.81, P=0.004) were the risk factors for the renal recovery in these patients. During a median follow-up time of 22 (10, 50) months, 15 patients(36.6%) in the dialysis-independent group progressed into maintenance dialysis, and the 1 and 3 year renal survival rate were 86% and 60%, respectively. During a median follow-up time of 6 (2, 24) months, 12 (12%) patients died, among whom four patients died of therapy. The multivariate Cox regression analysis revealed that IA/DFPP treatment (HR=10.85, P=0.034) and low albumin level (HR=1.26, P=0.009) significantly associated with a higher risk of therapy-related death. Conclusions: The renal recovery rate in AAGN patients with initial RRT was low. The proportion of normal and global sclerotic glomeruli, receiving intensive immunotherapy or not were associated with renal outcome, and IA/DFPP treatment as well as lower albumin level were independently associated with therapy-related death.
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Affiliation(s)
- Y H Chen
- National Clinical Research Center of Kidney Diseases, Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing 210016, China
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Gu XJ, Shan SJ, Liu ZZ, Jin GZ, Hu ZY, Zhu LL, Zhang J. [The relationship between fragmented QRS complex and coronary collateral circulation in patients with chronic total occlusion lesion without prior myocardial infarction]. Zhonghua Xin Xue Guan Bing Za Zhi 2017; 45:283-287. [PMID: 28545278 DOI: 10.3760/cma.j.issn.0253-3758.2017.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the relationship between fragmented QRS complex(fQRS) and coronary collateral circulation(CCC) in patients with chronic total occlusion(CTO)lesion without prior myocardial infarction. Methods: This retrospective study analyzed 238 consecutive patients with CTO lesion in one of the major coronary arteries from May 2014 to October 2015 in our department. Patients were divided into poor CCC group (grade 0 and 1, 58 cases) and good CCC group(grade 2 and 3, 180 cases) based on Rentrop's classification of CCC. The fQRS was defined as the presence of an additional R wave or notching of R or S wave or the presence of fragmentation in two contiguous electrocardiogram leads corresponding to a major coronary artery territory. Multivariate logistic regression was used to analyze the relationship between CCC and fQRS on electrocardiogram. Results: Compared with good CCC group, patients in poor CCC group had older age((65.2±8.9)years old vs. (60.3±10.1) years old, P=0.03), higher plasma glucose ((7.22±3.00) mmol/L vs.(6.31±1.83)mmol/L, P=0.04), and lower left ventricular ejection fraction ((45.2±11.4)% vs. (51.2±13.5)%, P=0.02). None of patients had Rentrop grade 0, the presence of fQRS on ECG in patients with Rentrop grade 1, grade 2, and grade 3 CCC was 69.0% (40/58), 48.6% (35/72) , and 19.4% (21/108), respectively (P<0.01). The presence of fQRS were higher in poor CCC group than in good CCC group (69.0%(40/58)vs. 31.1%(56/180), P<0.01), and number of leads with fQRS were higher in poor CCC group than in good CCC group (3(0, 4)vs.0(0, 3), P<0.01). Multivariate logistic regression analysis demonstrated that poor CCC growth in patients with CTO lesion without prior myocardial infarction was independently related to the presence of fQRS (OR=3.659, 95%CI 1.619-8.217, P<0.01). Conclusion: Poor CCC in patients with CTO lesion without prior myocardial infarction is independently related to the presence of fQRS on electrocardiogram.
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Affiliation(s)
- X J Gu
- Department of Cardiology, Nanjing Hospital Affiliated to Nanjing Medical University, Nanjing 210006, China
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Wang SF, Chen YH, Chen DQ, Liu ZZ, Xu F, Zeng CH, Hu WX. Mesangial proliferative lupus nephritis with podocytopathy: a special entity of lupus nephritis. Lupus 2017; 27:303-311. [PMID: 28720048 DOI: 10.1177/0961203317720526] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Mesangial proliferative lupus nephritis may coexist with podocytopathy, but its clinical-morphological features, treatment response and outcomes have not been compared with mesangial proliferative lupus nephritis without podocytopathy. In this study, 125 biopsies of lupus nephritis patients showing mesangial proliferation with mesangial immune deposits were collected and divided into podocytopathy group (defined as podocyte foot process effacement (FPE) >50% with nephrotic syndrome (NS)) and mesangial group (FPE ≤50%, or FPE >50% without NS). Mesangial proliferation and tubular- interstitial lesions were semi-quantitatively analyzed. We found that the incidence of renal involvement as the onset symptoms ( P < .001), nephrotic syndrome ( P < .001), acute kidney injury ( P < .001), the degree of acute tubular- interstitial lesions ( P < .001), and renal relapse (51.6% vs. 23.7%, P = .005) were significantly higher in the podocytopathy group than in the mesangial group. In contrast, the incidence of arthritis ( P < .001), fever ( P = .042), low serum C4 ( P = .008) and hematuria ( P = .033) was significantly lower in the podocytopathy group than in the mesangial group. No patients developed end stage renal disease or death during a median follow-up of 64 (interquartile range (IQR) 37-103) months in the podocytopathy group and 53 (IQR 30-83) months in the mesangial group. In conclusion, mesangial proliferative lupus nephritis with and without podocytopathy should be subdivided into two separate classes of lupus nephritis.
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Affiliation(s)
- S F Wang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - Y H Chen
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - D Q Chen
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - Z Z Liu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - F Xu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - C H Zeng
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - W X Hu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
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Affiliation(s)
- Zhi-Zhong Liu
- College of Computer Sciences and Technology; Henan Polytechnic University; Jiaozuo 454000 People's Republic of China
- School of Computer Science and Technology; Harbin Institute of Technology; Harbin 150006 People's Republic of China
| | - Cheng Song
- College of Computer Sciences and Technology; Henan Polytechnic University; Jiaozuo 454000 People's Republic of China
| | - Dian-Hui Chu
- School of Computer Science and Technology; Harbin Institute of Technology; Harbin 150006 People's Republic of China
| | - Zhan-Wei Hou
- College of Computer Sciences and Technology; Henan Polytechnic University; Jiaozuo 454000 People's Republic of China
| | - Wei-Ping Peng
- College of Computer Sciences and Technology; Henan Polytechnic University; Jiaozuo 454000 People's Republic of China
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Zhang JJ, Gao XF, Ge Z, Tian NL, Liu ZZ, Lin S, Ye F, Chen SL. High platelet reactivity affects the clinical outcomes of patients undergoing percutaneous coronary intervention. BMC Cardiovasc Disord 2016; 16:240. [PMID: 27894260 PMCID: PMC5126985 DOI: 10.1186/s12872-016-0394-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 11/07/2016] [Indexed: 12/13/2022] Open
Abstract
Background The association of platelet reactivity and clinical outcomes, especially stent thrombosis, was not so clear. We sought to investigate whether high platelet reactivity affects clinical outcomes of patients with drug eluting stents (DESs) implantation. Methods All enrolled individuals treated with DESs implantation were evaluated by PL-11, using sequentially platelet counting method. The primary end point was the occurrence of definite and probable stent thrombosis at 2 years. The secondary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE), including all cause death, spontaneous myocardial infarction (MI), target vessel revascularization (TVR), and ischemic stroke. Results A total of 1331consecutive patients were enrolled at our center. There were 91 patients (6.8 %) identified with high platelet reactivity (HPR) on aspirin, and 437 patients (32.9 %) with HPR on clopidogrel. At 2-year follow-up, the incidence of stent thrombosis was significantly higher in patients with HPR on aspirin (9.9 % vs. 0.4 %, p < 0.001), and HPR on clopidogrel (3.0 % vs. 0.1 %, p < 0.001). There were increased MACCE in the HPR on aspirin group (16.5 % vs. 8.5 %, p = 0.021), mainly driven by the higher all cause death (7.7 % vs. 1.6 %, p = 0.002) and MI (9.9 % vs. 1.9 %, p < 0.001) in the HPR on aspirin group. Similarly, the rate of MACCE was higher in the HPR on clopidogrel group (12.4 % vs. 7.4 %, p = 0.004). No differences in all bleeding and hemorrhagic stroke were observed. Conclusions The present study demonstrated that high platelet reactivity on both aspirin and clopidogrel were associated with incremental stent thrombosis following DESs implantation. Electronic supplementary material The online version of this article (doi:10.1186/s12872-016-0394-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jun-Jie Zhang
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle road, 210006, Nanjing, China.,Department of Cardiology, Nanjing Heart Center, Nanjing, China
| | - Xiao-Fei Gao
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle road, 210006, Nanjing, China
| | - Zhen Ge
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle road, 210006, Nanjing, China.,Department of Cardiology, Nanjing Heart Center, Nanjing, China
| | - Nai-Liang Tian
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle road, 210006, Nanjing, China
| | - Zhi-Zhong Liu
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle road, 210006, Nanjing, China
| | - Song Lin
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle road, 210006, Nanjing, China
| | - Fei Ye
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle road, 210006, Nanjing, China
| | - Shao-Liang Chen
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle road, 210006, Nanjing, China. .,Department of Cardiology, Nanjing Heart Center, Nanjing, China.
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Chen SL, Han YL, Chen LL, Qiu CG, Jiang TM, Tao L, Zeng H, Li L, Xia Y, Gao C, Santoso T, Paiboon C, wang Y, Kwan TW, Zhang JJ, Ye F, Tian NL, Liu ZZ, Lin S, Lu C, Wen S, Hong L, Zhang Q, Sheiban I, Xu Y, Wang L, Chen SY, Li Z, Cheng G, Cui L. Design and rationale for the treatment effects of provisional side branch stenting and DK crush stenting techniques in patients with unprotected distal left main coronary artery bifurcation lesions (DKCRUSH V) Trial. ACTA ACUST UNITED AC 2016. [DOI: 10.1016/j.ctrsc.2016.09.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Abstract
The aim of this study was to screen for key biomarkers of osteosarcoma (OS) by tracking altered modules. Protein-protein interaction (PPI) networks of OS and normal groups were constructed and re-weighted using the Pearson correlation coefficient (PCC), respectively. The condition-specific modules were explored from OS and normal PPI networks using a clique-merging algorithm. Altered modules were identified by a maximum weight bipartite-matching method. The important biological pathways in OS were identified by a pathway-enrichment analysis using genes from disrupted modules. The most important genes in these pathways were selected as key biomarkers. Finally, the mRNA and protein expressions of hub genes in OS bone tissues were analyzed using reverse transcription-polymerase chain reaction and western blotting, respectively. We identified 703 and 2270 modules in normal and disease networks, respectively; 150 altered modules were identified from among these and explored. We identified 10 important pathways based on gene pairs with altered PCC > 1 in the disrupted modules (P < 0.01), and PCNA, ATP6V1C2, ATP6V1G3, FEN1, CDC7, and RPA3 (expressed in these pathways) were selected as key genes of OS. We observed that these genes (and the proteins they encoded) were differentially expressed between normal and OS samples (P < 0.01) (excluding ATP6V1C2, whose protein expression did not differ significantly). Therefore, we identified 5 gene signatures that may be potential biomarkers for the detection and effective therapy of OS.
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Affiliation(s)
- Z Z Liu
- Department of Orthopaedics, the Second People's Hospital of Liaocheng, Linqing, China
| | - S T Cui
- Department of Orthopaedics, the Second People's Hospital of Liaocheng, Linqing, China
| | - B Tang
- Department of Orthopaedics, the Second People's Hospital of Liaocheng, Linqing, China
| | - Z Z Wang
- Department of Orthopaedics, the Second People's Hospital of Liaocheng, Linqing, China
| | - Z X Luan
- Department of Orthopaedics, the Second People's Hospital of Liaocheng, Linqing, China
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Li L, Leng JH, Shi JH, Zhang JJ, Jia SZ, Li XY, Dai Y, Zhang JR, Li T, Xu XX, Liu ZZ, You SS, Chang XY, Lang JH. [A prospective study on the effects of levonorgestrel-releasing intrauterine system for adenomyosis with menorrhagia]. Zhonghua Fu Chan Ke Za Zhi 2016; 51:424-30. [PMID: 27356477 DOI: 10.3760/cma.j.issn.0529-567x.2016.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To investigate treatment effects of levonorgestrel-releasing intrauterine system (LNG-IUS) for adenomyosis with menorrhea in a prospective study. METHODS From December 2006 to December 2014, patients of symptomatic adenomyosis diagnosed by transvaginal ultrasound in outpatient or inpatient clinics of Peking Union Medical College Hospital were given the treatment of LNG-IUS. Before and after placement of LNG-IUS, all the patients' parameters were recorded prospectively, including scores of menstruation blood loss, carrying status of IUS, symptoms and scores of dysmenorrhea, biochemical indicators, physical parameters, menstruation patterns and adverse effects. Changes of pictorial chart scores of menstruation and distribution of anemia during follow-up were analyzed. RESULTS Totally 1 100 women meets inclusion criteria, among which 618 cases (56.18%, 618/1 100) had severe menorrhea, with median follow-up period of 28 months (range 1- 60 months), and accumulative carrying rate of 66% at 60 months follow-up. After placement of LNG-IUS, compared with baselines, pictorial chart scores and ratio of menorrhea had decreased significantly (all P<0.01), the scroes of menstruation were 157±34, 94±35, 70±33, 67±18, 67±20, 65±19, 66±19, 65±21 at 0, 3, 6, 12, 24, 36, 48 and 60 months respectively. During 24 months after placement of LNG-IUS, pictorial chart scores and distribution of anemia had improved significantly compared with preceding period (all P<0.01). We found no dependent factors predicting improvement of pictorial chart scores of menorrhea, which was neither relevant with simultaneous changes of menstruation patterns nor adverse effects (all P>0.05). CONCLUSIONS LNG-IUS is effective for adenomyosis of menorrhea. Improvement of menstruation blood loss is independent on patients characters, menstruation patterns or adverse effects.
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Affiliation(s)
- L Li
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
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Kan J, Ge Z, Zhang JJ, Liu ZZ, Tian NL, Ye F, Li SJ, Qian XS, Yang S, Chen MX, Rab T, Chen SL. Incidence and Clinical Outcomes of Stent Fractures on the Basis of 6,555 Patients and 16,482 Drug-Eluting Stents From 4 Centers. JACC Cardiovasc Interv 2016; 9:1115-23. [DOI: 10.1016/j.jcin.2016.02.025] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2015] [Revised: 02/03/2016] [Accepted: 02/18/2016] [Indexed: 10/22/2022]
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