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Adams DQ, Alduino C, Alfonso K, Avignone FT, Azzolini O, Bari G, Bellini F, Benato G, Biassoni M, Branca A, Brofferio C, Bucci C, Camilleri J, Caminata A, Campani A, Canonica L, Cao XG, Capelli S, Cappelli L, Cardani L, Carniti P, Casali N, Chiesa D, Clemenza M, Copello S, Cosmelli C, Cremonesi O, Creswick RJ, D'Addabbo A, Dafinei I, Davis CJ, Dell'Oro S, Di Domizio S, Dompè V, Fang DQ, Fantini G, Faverzani M, Ferri E, Ferroni F, Fiorini E, Franceschi MA, Freedman SJ, Fu SH, Fujikawa BK, Giachero A, Gironi L, Giuliani A, Gorla P, Gotti C, Gutierrez TD, Han K, Heeger KM, Huang RG, Huang HZ, Johnston J, Keppel G, Kolomensky YG, Ligi C, Ma L, Ma YG, Marini L, Maruyama RH, Mayer D, Mei Y, Moggi N, Morganti S, Napolitano T, Nastasi M, Nikkel J, Nones C, Norman EB, Nucciotti A, Nutini I, O'Donnell T, Ouellet JL, Pagan S, Pagliarone CE, Pagnanini L, Pallavicini M, Pattavina L, Pavan M, Pessina G, Pettinacci V, Pira C, Pirro S, Pozzi S, Previtali E, Puiu A, Rosenfeld C, Rusconi C, Sakai M, Sangiorgio S, Schmidt B, Scielzo ND, Sharma V, Singh V, Sisti M, Speller D, Surukuchi PT, Taffarello L, Terranova F, Tomei C, Vetter KJ, Vignati M, Wagaarachchi SL, Wang BS, Welliver B, Wilson J, Wilson K, Winslow LA, Zimmermann S, Zucchelli S. Erratum: Measurement of the 2νββ Decay Half-Life of ^{130}Te with CUORE [Phys. Rev. Lett. 126, 171801 (2021)]. Phys Rev Lett 2023; 131:249902. [PMID: 38181163 DOI: 10.1103/physrevlett.131.249902] [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] [Received: 11/10/2023] [Indexed: 01/07/2024]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.126.171801.
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Zhu C, Guo Y, Si W, Zhong Q, Mei Y, Feng Y, Zhang X. Detection of brown adipose tissue in rats with acute cold stimulation using quantitative susceptibility mapping. Chin Med J (Engl) 2023; 136:2137-2139. [PMID: 36374124 PMCID: PMC10476742 DOI: 10.1097/cm9.0000000000002388] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Cuiling Zhu
- Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, Guangdong 510630, China
- Department of Radiology, Foshan Hospital of Traditional Chinese Medicine, Foshan, Guangdong 528000, China
| | - Yihao Guo
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Wenbin Si
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Qiaoling Zhong
- Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, Guangdong 510630, China
| | - Yingjie Mei
- Philips Healthcare, Guangzhou, Guangdong 510000, China
| | - Yanqiu Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Xiaodong Zhang
- Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, Guangdong 510630, China
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Wang S, Mei Y, Yang ZY, Zhang Q, Li RL, Wang YY, Zhao WH, Xu T. [Comparison of two child growth standards in assessing the nutritional status of children under 6 years of age]. Zhonghua Er Ke Za Zhi 2023; 61:700-707. [PMID: 37528010 DOI: 10.3760/cma.j.cn112140-20230505-00314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Objective: To compare the application of China growth standard for children under 7 years of age (China standards) and World Health Organization child growth standards (WHO standards) in evaluating the prevalence of malnutrition in children aged 0-<6 years in China. Methods: The research data came from the national special program for science & technology basic resources investigation of China, named "2019-2021 survey and application of China's nutrition and health system for children aged 0-18 years". Multi-stage stratified random sampling was used to recruit 28 districts (regions) in 14 provinces, autonomous regions or municipalities across the country. Children (n=38 848) were physically measured and questionnaires were conducted in the guardians of the children. The indicators of stunting, underweight, wasting, overweight and obesity were evaluated by China standards and WHO standards respectively. Chi-square test was used to comparing the prevalence of each nutritional status between the two standards, as well as the comparison between the two standards by gender and age. Results: Among the 38 848 children, 19 650 were boys (50.6%) and 19 198 were girls (49.4%), 19 480 urban children (50.1%) and 19 368 rural children (49.9%). The stunting, underweight and wasting cases in the study population were 2 090 children (5.4%), 1 354 children (3.5%) and 1 276 children (3.3%) according to the China standards, and 1 474 children (3.8%), 701 children (1.8%) and 824 children (2.1%) according to the WHO standards, respectively; the above rates according to the China standards were slightly higher than those to the WHO standards (χ2=111.59, 213.14, and 99.99, all P<0.001). The overweight and obesity cases in the study population were 2 186 children (5.6%) and 1 153 children (3.0%) according to the China standards, and 2 210 children (5.7%) and 1 186 children (3.1%) according to the WHO standards, with no statistically significant differences (χ2=0.14 and 0.48, P=0.709 and 0.488, respectively). Compared to the results based on WHO standards, the China standards showed a lower prevalence of overweight and obesity in boys (χ2=14.95 and 5.85, P<0.001 and =0.016, respectively), and higher prevalence of overweight in girls (χ2=12.60, P<0.001); but there was no statistically significant differences in girls' obesity prevalence between the two standards (χ2=2.62, P=0.106). Conclusions: In general, the prevalence of malnutrition among children aged 0-<6 years based on China standards is slightly higher than that on WHO standards. To evaluate the nutritional status of children, it is advisable to select appropriate child growth standards based on work requirements, norms or research objectives.
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Affiliation(s)
- S Wang
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - Y Mei
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - Z Y Yang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Q Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - R L Li
- Department of Children Health and Development, Capital Institute of Pediatrics, Beijing 100020, China
| | - Y Y Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - W H Zhao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - T Xu
- National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
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Tan X, Liu X, Han K, Zhao L, Niu M, Yao Q, Huang Q, Zhong M, Mei Y, Huang R, Xu Y. Disrupted resting-state brain functional network properties in non-neuropsychiatric systemic lupus erythematosus patients. Lupus 2023; 32:538-548. [PMID: 36916282 DOI: 10.1177/09612033231160725] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
INTRODUCTION Previous fMRI studies revealed that the abnormal functional connectivity (FC) was related to cognitive impairment in patients with SLE. However, it remains unclear how the disease severity affects the functional topological organization of the whole-brain network in SLE patients without neuropsychiatric symptoms (non-NPSLE). OBJECTIVE We aim to examine the impairment of the whole-brain functional network in SLE patients without neuropsychiatric symptoms (non-NPSLE), which may improve the understanding of neural mechanism in SLE. METHODS We acquired resting-state fMRI data from 32 non-NPSLE patients and 32 healthy controls (HC), constructed their whole-brain functional network, and then estimated the topological properties including global and nodal parameters by using graph theory. Meanwhile, we also investigated the differences in intra- and inter-network FC between the non-NPSLE patients and the HC. RESULTS The non-NPSLE patients showed significantly lower clustering coefficient, global and local efficiency, but higher characteristic path length than the HC. The non-NPSLE patients had significantly lower nodal strength in two regions, ventromedial prefrontal cortex (vmPFC) and anterior PFC (aPFC) than the HC. We found the non-NPSLE patients had significantly lower intra-network FC within frontal-parietal network (FPN) and within default mode network (DMN), and significantly lower inter-network FC between DMN and FPN than the HC. The intra-network FC within DMN was negatively correlated with systemic lupus erythematosus disease activity index (SLEDAI). CONCLUSION Abnormal whole-brain functional network properties and abnormal intra- and inter-network FC may be related to cognitive impairment and disease degree in the non-NPSLE patients. Our findings provide a network perspective to understand the neural mechanisms of SLE.
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Affiliation(s)
- Xiangliang Tan
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaojin Liu
- Center for Educational Science and Technology, Beijing Normal University, Zhuhai, China.,Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou, China
| | - Kai Han
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ling Zhao
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou, China
| | - Meiqi Niu
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou, China
| | - Qiaoli Yao
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qin Huang
- Department of Rheumatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Miao Zhong
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou, China
| | | | - Ruiwang Huang
- Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, School of Psychology, South China Normal University, Guangzhou, China
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
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Mei Y, Yang G, Guo Y, Zhao K, Wu S, Xu Z, Zhou S, Yan C, Seeliger E, Niendorf T, Xu Y, Feng Y. Parametric MRI Detects Aristolochic Acid Induced Acute Kidney Injury. Tomography 2022; 8:2902-2914. [PMID: 36548535 PMCID: PMC9786286 DOI: 10.3390/tomography8060243] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 11/30/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022] Open
Abstract
Exposure to aristolochic acid (AA) is of increased concern due to carcinogenic and nephrotoxic effects, and incidence of aristolochic acid nephropathy (AAN) is increasing. This study characterizes renal alterations during the acute phase of AAN using parametric magnetic resonance imaging (MRI). An AAN and a control group of male Wistar rats received administration of aristolochic acid I (AAI) and polyethylene glycol (PEG), respectively, for six days. Both groups underwent MRI before and 2, 4 and 6 days after AAI or PEG administration. T2 relaxation times and apparent diffusion coefficients (ADCs) were determined for four renal layers. Serum creatinine levels (sCr) and blood urea nitrogen (BUN) were measured. Tubular injury scores (TIS) were evaluated based on histologic findings. Increased T2 values were detected since day 2 in the AAN group, but decreased ADCs and increased sCr levels and BUN were not detected until day 4. Significant linear correlations were observed between T2 of the cortex and the outer stripe of outer medulla and TIS. Our results demonstrate that parametric MRI facilitates early detection of renal injury induced by AAI in a rat model. T2 mapping may be a valuable tool for assessing kidney injury during the acute phase of AAN.
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Affiliation(s)
- Yingjie Mei
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Guixiang Yang
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yihao Guo
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou 570311, China
| | - Kaixuan Zhao
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Shuyu Wu
- Radiotherapy Center, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou 510095, China
| | - Zhongbiao Xu
- Radiotherapy Center, Guangdong General Hospital, Guangzhou 510080, China
| | - Shan Zhou
- State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Chenggong Yan
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Erdmann Seeliger
- Institute of Translational Physiology, Charité–Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yanqiu Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou 510515, China
- Department of Radiology, Shunde Hospital, Southern Medical University (The First People’s Hospital of Shunde, Foshan), Foshan 528399, China
- Correspondence:
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6
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Adams DQ, Alduino C, Alfonso K, Avignone FT, Azzolini O, Bari G, Bellini F, Benato G, Beretta M, Biassoni M, Branca A, Brofferio C, Bucci C, Camilleri J, Caminata A, Campani A, Canonica L, Cao XG, Capelli S, Capelli C, Cappelli L, Cardani L, Carniti P, Casali N, Celi E, Chiesa D, Clemenza M, Copello S, Cremonesi O, Creswick RJ, D'Addabbo A, Dafinei I, Del Corso F, Dell'Oro S, Di Domizio S, Di Lorenzo S, Dompè V, Fang DQ, Fantini G, Faverzani M, Ferri E, Ferroni F, Fiorini E, Franceschi MA, Freedman SJ, Fu SH, Fujikawa BK, Ghislandi S, Giachero A, Gianvecchio A, Gironi L, Giuliani A, Gorla P, Gotti C, Gutierrez TD, Han K, Hansen EV, Heeger KM, Huang RG, Huang HZ, Johnston J, Keppel G, Kolomensky YG, Kowalski R, Liu R, Ma L, Ma YG, Marini L, Maruyama RH, Mayer D, Mei Y, Morganti S, Napolitano T, Nastasi M, Nikkel J, Nones C, Norman EB, Nucciotti A, Nutini I, O'Donnell T, Olmi M, Ouellet JL, Pagan S, Pagliarone CE, Pagnanini L, Pallavicini M, Pattavina L, Pavan M, Pessina G, Pettinacci V, Pira C, Pirro S, Pozzi S, Previtali E, Puiu A, Quitadamo S, Ressa A, Rosenfeld C, Sangiorgio S, Schmidt B, Scielzo ND, Sharma V, Singh V, Sisti M, Speller D, Surukuchi PT, Taffarello L, Terranova F, Tomei C, Vetter KJ, Vignati M, Wagaarachchi SL, Wang BS, Welliver B, Wilson J, Wilson K, Winslow LA, Zimmermann S, Zucchelli S. New Direct Limit on Neutrinoless Double Beta Decay Half-Life of ^{128}Te with CUORE. Phys Rev Lett 2022; 129:222501. [PMID: 36493444 DOI: 10.1103/physrevlett.129.222501] [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: 05/06/2022] [Revised: 07/22/2022] [Accepted: 10/03/2022] [Indexed: 06/17/2023]
Abstract
The Cryogenic Underground Observatory for Rare Events (CUORE) at Laboratori Nazionali del Gran Sasso of INFN in Italy is an experiment searching for neutrinoless double beta (0νββ) decay. Its main goal is to investigate this decay in ^{130}Te, but its ton-scale mass and low background make CUORE sensitive to other rare processes as well. In this Letter, we present our first results on the search for 0νββ decay of ^{128}Te, the Te isotope with the second highest natural isotopic abundance. We find no evidence for this decay, and using a Bayesian analysis we set a lower limit on the ^{128}Te 0νββ decay half-life of T_{1/2}>3.6×10^{24} yr (90% CI). This represents the most stringent limit on the half-life of this isotope, improving by over a factor of 30 the previous direct search results, and exceeding those from geochemical experiments for the first time.
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Affiliation(s)
- D Q Adams
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - C Alduino
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Alfonso
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - F T Avignone
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - O Azzolini
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - G Bari
- INFN-Sezione di Bologna, Bologna I-40127, Italy
| | - F Bellini
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - G Benato
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Beretta
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Biassoni
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - A Branca
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Brofferio
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Bucci
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - J Camilleri
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - A Caminata
- INFN-Sezione di Genova, Genova I-16146, Italy
| | - A Campani
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Canonica
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - X G Cao
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - S Capelli
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Capelli
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - L Cappelli
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - L Cardani
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - P Carniti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - N Casali
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - E Celi
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - D Chiesa
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M Clemenza
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Copello
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - O Cremonesi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - R J Creswick
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - A D'Addabbo
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - I Dafinei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - F Del Corso
- INFN-Sezione di Bologna, Bologna I-40127, Italy
| | - S Dell'Oro
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Di Domizio
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - S Di Lorenzo
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - V Dompè
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - D Q Fang
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - G Fantini
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - M Faverzani
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Ferri
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - F Ferroni
- INFN-Sezione di Roma, Roma I-00185, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - E Fiorini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M A Franceschi
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - S J Freedman
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S H Fu
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - B K Fujikawa
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Ghislandi
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - A Giachero
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Gianvecchio
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - L Gironi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Giuliani
- Universit Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Gorla
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - C Gotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - T D Gutierrez
- Physics Department, California Polytechnic State University, San Luis Obispo, California 93407, USA
| | - K Han
- INPAC and School of Physics and Astronomy, Shanghai Jiao Tong University; Shanghai Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - E V Hansen
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - K M Heeger
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R G Huang
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - H Z Huang
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - J Johnston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Keppel
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - Yu G Kolomensky
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - R Kowalski
- Department of Physics and Astronomy, The Johns Hopkins University, 3400 North Charles Street Baltimore, Maryland 21211, USA
| | - R Liu
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - L Ma
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - Y G Ma
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - L Marini
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - R H Maruyama
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D Mayer
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Y Mei
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Morganti
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - T Napolitano
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - M Nastasi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - J Nikkel
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - C Nones
- IRFU, CEA, Universit Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - E B Norman
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - A Nucciotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - I Nutini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - T O'Donnell
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - M Olmi
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - J L Ouellet
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Pagan
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - C E Pagliarone
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Dipartimento di Ingegneria Civile e Meccanica, Università degli Studi di Cassino e del Lazio Meridionale, Cassino I-03043, Italy
| | - L Pagnanini
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Pallavicini
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Pattavina
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Pavan
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - G Pessina
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | | | - C Pira
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - S Pirro
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - S Pozzi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Previtali
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Puiu
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - S Quitadamo
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - A Ressa
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - C Rosenfeld
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Sangiorgio
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Schmidt
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N D Scielzo
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - V Sharma
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - V Singh
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Sisti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - D Speller
- Department of Physics and Astronomy, The Johns Hopkins University, 3400 North Charles Street Baltimore, Maryland 21211, USA
| | - P T Surukuchi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | | | - F Terranova
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Tomei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - K J Vetter
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - M Vignati
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - S L Wagaarachchi
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - B S Wang
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - B Welliver
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - L A Winslow
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Zimmermann
- Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Zucchelli
- INFN-Sezione di Bologna, Bologna I-40127, Italy
- Dipartimento di Fisica e Astronomia, Alma Mater Studiorum-Università di Bologna, Bologna I-40127, Italy
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7
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Kubota S, Ho J, McDonald A, Tata N, Asaadi J, Guenette R, Battat J, Braga D, Demarteau M, Djurcic Z, Febbraro M, Gramellini E, Kohani S, Mauger C, Mei Y, Newcomer F, Nishimura K, Nygren D, Van Berg R, Varner G, Woodworth K. Enhanced low-energy supernova burst detection in large liquid argon time projection chambers enabled by Q-Pix. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.032011] [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: 11/07/2022]
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8
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Zhong L, Li M, Du X, Ding Y, Zhang X, Mei Y, Yi P, Feng Y, Chen Y, Zhang X. Quantitative evaluation of the characteristic of infrapatellar fat pad Fat Content and Unsaturation Index by using hydrogen proton MR spectroscopy. Magn Reson Imaging 2022; 94:18-24. [DOI: 10.1016/j.mri.2022.07.014] [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] [Received: 01/01/2022] [Revised: 07/23/2022] [Accepted: 07/27/2022] [Indexed: 10/16/2022]
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9
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Chen C, Huang S, Chen Z, Liu Q, Cai Y, Mei Y, Xu Y, Guo R, Yan C. Kartogenin (KGN)/synthetic melanin nanoparticles (SMNP) loaded theranostic hydrogel scaffold system for multiparametric magnetic resonance imaging guided cartilage regeneration. Bioeng Transl Med 2022; 8:e10364. [PMID: 36684070 PMCID: PMC9842022 DOI: 10.1002/btm2.10364] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 06/06/2022] [Accepted: 06/12/2022] [Indexed: 01/25/2023] Open
Abstract
Cartilage regeneration after injury is still a great challenge in clinics, which suffers from its avascularity and poor proliferative ability. Herein we designed a novel biocompatible cellulose nanocrystal/GelMA (gelatin-methacrylate anhydride)/HAMA (hyaluronic acid-methacrylate anhydride)-blended hydrogel scaffold system, loaded with synthetic melanin nanoparticles (SMNP) and a bioactive drug kartogenin (KGN) for theranostic purpose. We found that the SMNP-KGN/Gel showed favorable mechanical property, thermal stability, and distinct magnetic resonance imaging (MRI) contrast enhancement. Meanwhile, the sustained release of KGN could recruit bone-derived mesenchymal stem cells to proliferate and differentiate into chondrocytes, which promoted cartilage regeneration in vitro and in vivo. The hydrogel degradation and cartilage restoration were simultaneously monitored by multiparametric MRI for 12 weeks, and further confirmed by histological analysis. Together, these results validated the multifunctional hydrogel as a promising tissue engineering platform for noninvasive imaging-guided precision therapy in cartilage regenerative medicine.
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Affiliation(s)
- Chuyao Chen
- Department of Medical Imaging Center, Nanfang HospitalSouthern Medical UniversityGuangzhouChina
| | - Shaoshan Huang
- Key Laboratory of Biomaterials of Guangdong Higher Education Institutes, Guangdong Provincial Engineering and Technological Research Centre for Drug Carrier Development, Department of Biomedical EngineeringJinan UniversityGuangzhouChina
| | - Zelong Chen
- Department of Medical Imaging Center, Nanfang HospitalSouthern Medical UniversityGuangzhouChina
| | - Qin Liu
- Department of Medical Imaging Center, Nanfang HospitalSouthern Medical UniversityGuangzhouChina
| | - Yu Cai
- Clinical Research CenterZhujiang Hospital, Southern Medical UniversityGuangzhouGuangdongChina,Center of Orthopedics, Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
| | - Yingjie Mei
- School of Biomedical EngineeringSouthern Medical UniversityGuangzhouChina
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang HospitalSouthern Medical UniversityGuangzhouChina
| | - Rui Guo
- Key Laboratory of Biomaterials of Guangdong Higher Education Institutes, Guangdong Provincial Engineering and Technological Research Centre for Drug Carrier Development, Department of Biomedical EngineeringJinan UniversityGuangzhouChina
| | - Chenggong Yan
- Department of Medical Imaging Center, Nanfang HospitalSouthern Medical UniversityGuangzhouChina
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10
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Liu Q, Xu Z, Zhao K, Hoge WS, Zhang X, Mei Y, Lu Q, Niendorf T, Feng Y. Diffusion-weighted magnetic resonance imaging in rat kidney using two-dimensional navigated, interleaved echo-planar imaging at 7.0 T. NMR Biomed 2022; 35:e4652. [PMID: 34820933 DOI: 10.1002/nbm.4652] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 10/29/2021] [Accepted: 10/30/2021] [Indexed: 06/13/2023]
Abstract
The purpose of this study was to investigate the feasibility of two-dimensional (2D) navigated, interleaved multishot echo-planar imaging (EPI) to enhance kidney diffusion-weighted imaging (DWI) in rats at 7.0 T. Fully sampled interleaved four-shot EPI with 2D navigators was tailored for kidney DWI (Sprague-Dawley rats, n = 7) on a 7.0-T small bore preclinical scanner. The image quality of four-shot EPI was compared with T2 -weighted rapid acquisition with relaxation enhancement (RARE) (reference) and single-shot EPI (ss-EPI) without and with parallel imaging (PI). The contrast-to-noise ratio (CNR) was examined to assess the image quality for the EPI approaches. The Dice similarity coefficient and the Hausdorff distance were used for evaluation of image distortion. Mean diffusivity (MD) and fractional anisotropy (FA) were calculated for renal cortex and medulla for all DWI approaches. The corticomedullary difference of MD and FA were assessed by Wilcoxon signed-rank test. Four-shot EPI showed the highest CNR among the three EPI variants and lowest geometric distortion versus T2 -weighted RARE (mean Dice: 0.77 for ss-EPI without PI, 0.88 for ss-EPI with twofold undersampling, and 0.92 for four-shot EPI). The FA map derived from four-shot EPI clearly identified a highly anisotropic region corresponding to the inner stripe of the outer medulla. Four-shot EPI successfully discerned differences in both MD and FA between renal cortex and medulla. In conclusion, 2D navigated, interleaved multishot EPI facilitates high-quality rat kidney DWI with clearly depicted intralayer and interlayer structure and substantially reduced image distortion. This approach enables the anatomic integrity of DWI-MRI in small rodents and has the potential to benefit the characterization of renal microstructure in preclinical studies.
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Affiliation(s)
- Qiang Liu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Zhongbiao Xu
- Department of Radiation Oncology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Kaixuan Zhao
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - W Scott Hoge
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Xinyuan Zhang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Yingjie Mei
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Qiqi Lu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Yanqiu Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Medical Image Processing & Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China
- Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence & Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
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11
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Xie BB, Chang W, Wu K, Guo LL, Mei Y. [Application of three risk assessment methods to noise risk assessment in an automobile foundry enterprise]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:271-275. [PMID: 35545593 DOI: 10.3760/cma.j.cn121094-20210109-00036] [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] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To explore the applicability of three different kinds of noise occupational health risk assessment methods to the occupational health risk assessment of noise exposed positions in an automobile foundry enterprise. Methods: In July 2020, the occupational-health risk assessment of noise-exposed positions was conducted by using the Guidelines for risk management of occupational noise hazard (guideline method) , the International Commission on Mining and Metals Guidelines for Occupational Health Risk Assessment (ICMM) method and the Occupational-health risk index method (index method) respectively, and the results were analyzed and compared. Results: Through the occupational health field investigation, the noise exposure level of the enterprise's main workstations was between 80.3 and 94.8 dB (A) , among which the noise of the posts of shaking-sand, cleaning and modeling was greater than 85 dB (A) ; The noise risk of each position was evaluated by the three methods, and the adjustment risk level was between 2 and 5 assessed using the guideline method, between 2 and 3 assessed using the index method, and 5 evaluated using the ICMM model. Conclusion: Each of the three risk assessment methods has its own advantages and disadvantages. The ICMM model has a large difference in value assignment, and values in the results are larger than expected. The evaluation results of the guideline method and the index method are consistent in some positions, there is certain subjectivity in the evaluation using the index method, and the guideline method is more objective.
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Affiliation(s)
- B B Xie
- School of Public Health, Wuhan University of Science and Technology, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, WuHan 430065, China
| | - W Chang
- School of Public Health, Wuhan University of Science and Technology, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, WuHan 430065, China
| | - K Wu
- Shiyan Prevention and Treatment Center for Occupational Disease, Shiyan 442000, China
| | - L L Guo
- Shiyan Prevention and Treatment Center for Occupational Disease, Shiyan 442000, China
| | - Y Mei
- School of Public Health, Wuhan University of Science and Technology, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, WuHan 430065, China
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12
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Mei Y, Li Y, Nguyen H, Berman PR, Kuzmich A. Trapped Alkali-Metal Rydberg Qubit. Phys Rev Lett 2022; 128:123601. [PMID: 35394296 DOI: 10.1103/physrevlett.128.123601] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 02/17/2022] [Indexed: 06/14/2023]
Abstract
Rydberg interactions of trapped alkali-metal atoms are used widely to facilitate quantum gate operations in quantum processors and repeaters. In most laboratory realizations using this protocol, the Rydberg states are repelled by the trapping laser fields, requiring that the fields be turned off during gate operations. Here we create a quasi-two-level system in a regime of Rydberg excitation blockade for a mesoscopic Rb ensemble of several hundred atoms confined in a magic-wavelength optical lattice. We observe many-body Rabi oscillations between the ground and collective Rydberg state. In addition we use Ramsey interference techniques to obtain the light shifts of both the lower and upper states of the collective qubit. Whereas the coupling producing the Rabi oscillations is enhanced by a factor of sqrt[N], there is no corresponding enhancement for the light shifts. We derive an effective two-level model which is in good agreement with our observations. Trapped Rydberg qubits and an effective two-level description are expected to have broad applicability for studies of quantum simulation and networking using collective encoding in ensembles of neutral atoms.
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Affiliation(s)
- Y Mei
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Y Li
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - H Nguyen
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - P R Berman
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - A Kuzmich
- Department of Physics, University of Michigan, Ann Arbor, Michigan 48109, USA
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13
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Han L, He G, Mei Y, Yu Q, Zhao M, Luo F, Cheng G, Liang W. Combining Magnetic Resonance Diffusion-Weighted Imaging with Prostate-Specific Antigen to Differentiate Between Malignant and Benign Prostate Lesions. Med Sci Monit 2022; 28:e935307. [PMID: 35459760 PMCID: PMC9044910 DOI: 10.12659/msm.935307] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Liying Han
- Department of Medical Imaging Center, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China (mainland)
| | - Guanyong He
- Department of Medical Imaging Center, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China (mainland)
| | - Yingjie Mei
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China (mainland)
| | - Qing Yu
- Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland)
| | - Minning Zhao
- Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland)
| | - Fu Luo
- Department of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland)
| | - Guanxun Cheng
- Department of Medical Imaging Center, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China (mainland)
| | - Wen Liang
- Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland)
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14
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Xie D, Li Y, Ma S, Yang X, Mei Y, Peng L, Lang Y, Chen A, Huang B, Chen Y, Huang X, Qian CN. FLASH Mechanisms Track (Oral Presentations) BIOLOGICAL EFFECT OF MURINE VENTRAL SKIN IRRADIATION WITH PULSED FLASH RADIOTHERAPY USING A CLINICAL LINAC. Phys Med 2022. [DOI: 10.1016/s1120-1797(22)01464-8] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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15
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Yao Y, Li HR, Li Z, Mei Y, Ma H, Wu JB. [Neck musculoskeletal disorders and their influence factors among welders in an automobile factory]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:28-32. [PMID: 35255558 DOI: 10.3760/cma.j.cn121094-20201207-00669] [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 explore the prevalence and risk factors of neck musculoskeletal diseases (MSDs) of welders among an automobile factory. Methods: In June 2019, a cluster random sampling method was used to select 677 electric welders from an automobile manufacturing plant in Shiyan City as the survey objects, and a questionnaire survey was conducted using the "Musculoskeletal Disorders Questionnaire" to analyze the prevalence and influencing factors of neck MSDs, and used logistic regression to analyze the relationship between the influencing factors and the prevalence of cervical MSDs. Results: The prevalence rate of MSDs in neck of welders was 54.8% (371/677) . The exposure rate of occupational factors, from high to low, were neckin a bent formord porsure was 71.6% (486/677) , repetitive head movements was 55.1% (373/677) , working in uncomfortable postures was 48.7% (330/677) and neck twisted was 46.8% (317/677) respectively. Sex, age, educational level, length of service, smoking, neck tilt, neck twist, working in uncomfortable posture and head repetitive movements were the risk factors of neck MSDs (P<0.05) . Multiple logistic regression analysis showed that, the main influencing factors of neck MSDs were sex, education level, age, length of service, smoking, neck tilt, working in uncomfortable posture (OR = 2.11, 2.03, 1.83, 1.21, 1.78, 1.90, 1.58, 95%CI: 1.28~3.48、1.47~2.81、1.33~2.52、1.03~1.41、1.22~2.60、1.28~2.83、1.11~2.27, P<0.05) , rest had protective effect on neck MSDs (OR= 0.38, 95%CI: 0.17~0.88, P<0.05) . Conclusion: Welders in automobile factory was highly exposed to occupational risk factors for neck MSDs. Occupational risk factors such as neck in a bent forward posture, working in an uncomfortable posture, prolonged siting, repetitive head movement should be the focus of intervention.
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Affiliation(s)
- Y Yao
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China Xiangyang Hospital of Integrated Traditional Chinese and Western Medicine, Xiangyang 441004, China
| | - H R Li
- Xiangyang Hospital of Integrated Traditional Chinese and Western Medicine, Xiangyang 441004, China
| | - Z Li
- Xiangyang Center for Disease Control and Prevention, Xiangyang 441022, China
| | - Y Mei
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - H Ma
- Xiangyang Hospital of Integrated Traditional Chinese and Western Medicine, Xiangyang 441004, China
| | - J B Wu
- Shiyan Institute for Occupational Disease Prevention and Treatment, Shiyan 442002, China
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16
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Chen S, Liu X, Lin J, Mei Y, Deng K, Xue Q, Song X, Xu Y. Application of amide proton transfer imaging for the diagnosis of neonatal hypoxic-ischemic encephalopathy. Front Pediatr 2022; 10:996949. [PMID: 36440343 PMCID: PMC9691961 DOI: 10.3389/fped.2022.996949] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 10/25/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE This study aimed to evaluate cerebral amide proton transfer signal intensity (SI) among controls, hypoxic-ischemic encephalopathy (HIE) neonates with normal conventional magnetic resonance imaging (HIE/MRI-) findings, and HIE neonates with abnormal conventional MRI (HIE/MRI+) findings. METHODS Forty neonates diagnosed with neonatal HIE and sixteen normal neonates were evaluated. All neonates underwent conventional MRI scans and APT imaging. Cerebral APT SIs were compared to identify cerebral regions with significant APT changes among sixteen controls, thirteen HIE/MRI- patients, and twenty-seven HIE/MRI+ patients. RESULTS Significantly increased APT SIs were observed in the HIE/MRI- group compared with controls, in the left insula, right occipital lobe, left cingulate gyrus (posterior part), and corpus callosum. Significantly increased APT SIs were found in the HIE/MRI+ group compared with controls, in the right anterior temporal lobe (medial part), anterior parts of the right parahippocampal and ambient gyri, left superior temporal gyrus (middle part), left insula, left cingulate gyrus (posterior part), and right lentiform nucleus. No significant APT SI differences were observed in the cerebellum and brainstem among the three groups. CONCLUSION Amide proton transfer imaging plays an important role in detecting hypoxic-ischemic encephalopathy regardless of conventional MRI findings. Changes in APT signal intensity may provide important insights into the characterization of the cerebral internal environment. This study suggests that APT imaging could be used as a complement to conventional MRI in the detection of hypoxic-ischemic encephalopathy in clinical practice.
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Affiliation(s)
- Sijin Chen
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Department of Obstetrics & Gynecology, Nanfang Hospital Baiyun Branch, Southern Medical University, Guangzhou, China
| | - Xilong Liu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jie Lin
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yingjie Mei
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China
| | - Kan Deng
- C&TS MR Clinical Science, Philips Healthcare, Guangzhou, China
| | - Qiao Xue
- Helong Street Community Health Service Center, Guangzhou, China
| | - Xiaoyan Song
- Department of Neonatology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Chen J, Wu JB, Wu K, Zheng JR, Mei LY, Mei Y. [Cumulative noise exposure and the risk of high-frequency hearing loss relationships]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:919-924. [PMID: 35164421 DOI: 10.3760/cma.j.cn121094-20200619-00347] [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 explore the dose-response relationship between cumulative noise exposure and high-frequency hearing loss, and further to provide a basis for the control of occupational hazards of noise. Methods: A Meta-analysis of dose-response relationships was performed on the data of eligible literatures published in China from January 2000.1 to December 2019.12. Results: The initial combined Odds Ratio (OR) and its 95%CI in the Meta-analysis were 1.10 (1.08-1.12) . As the Begg's funnel plot and Egger's test indicated publication bias (t=5.97, P<0.01) , the Trim-and-Fill Method was used for OR value adjustment. The adjusted-OR was 1.09 (1.07-1.12) ; sensitivity analysis showed that the results of this Meta-analysis have high stability; subgroup analysis indicated that the ORs of the steady-state noise group and the non-steady-state noise group were 1.10 (1.08-1.12) and 1.14 (1.07-1.21) , the ORs of the old standard group and the new standard group were 1.10 (1.08-1.12) and 1.11 (1.00-1.24) , respectively. The nonlinear dose-response relationship curve demonstrated that the risk of high-frequency hearing loss increases rapidly after CNE reaches 95 dB (A) ·years. Conclusion: There is a definite dose-response relationship between CNE and high-frequency hearing loss, which can be used to predict the risk of high-frequency hearing loss in noisy workers.
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Affiliation(s)
- J Chen
- Shiyan Occupational Disease Prevention and Control Hospital, Shiyan 442000, China
| | - J B Wu
- Shiyan Occupational Disease Prevention and Control Hospital, Shiyan 442000, China
| | - K Wu
- Shiyan Occupational Disease Prevention and Control Hospital, Shiyan 442000, China
| | - J R Zheng
- Shiyan Occupational Disease Prevention and Control Hospital, Shiyan 442000, China
| | - L Y Mei
- Hubei Center for Disease Control and Prevention, Wuhan 430070, China
| | - Y Mei
- School of Medicine, Wuhan University of Science and Technology, Wuhan 430065, China
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18
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Yang Y, Li Z, Liu Q, Guo Y, Mei Y, Lyu J, Zhao M, Feng Y, Xie G. Carotid arterial wall MRI of apolipoprotein e-deficient mouse at 7 T using DANTE-prepared variable-flip-angle rapid acquisition with relaxation enhancement. Magn Reson Imaging 2021; 86:1-9. [PMID: 34688846 DOI: 10.1016/j.mri.2021.10.026] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/20/2021] [Accepted: 10/17/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE To optimize a sequence combining the delay alternating with nutation for tailored excitation (DANTE) preparative module with the variable-flip-angle rapid acquisition with relaxation enhancement (VF-RARE) sequence (DANTE-VF-RARE) and to investigate its feasibility for vessel wall imaging in Apolipoprotein E-Deficient (ApoE-/-) mouse at 7 Tesla (T). MATERIALS AND METHODS Specific T1/T2 values were used for producing a sharper vessel wall in the variable-flip-angle optimization scheme. The DANTE RF pulse flip angle and pulse train length were optimized for maximizing the wall-lumen contrast. ApoE-/- (fed high fat diet for 20/40/ 60 weeks, n = 9/4/4) and wild-type mice (controls, n = 3) were imaged at 7 T using VF-RARE, DANTE-VF-RARE, time-of-flight (TOF) angiography, and multi-slice T1-weighted 2D RARE coupled with inflow outflow saturation bands (IOSB-RARE). Wall-lumen contrast-to-noise-ratio efficiency (CNReff), lumen area (LA), and wall area (WA) were compared between DANTE-VF-RARE and 2D IOSB-RARE sequences. Additionally, linear regression analysis was conducted between MR measurements and histomorphometric planimetry results. RESULTS Residual blood signal was observed in the four out of eighteen carotids on VF-RARE images, whereas it was significantly suppressed on DANTE-VF-RARE images. Compared with IOSB-RARE, DANTE-VF-RARE offered significantly improved CNReff (P < 0.001). The LA and WA were both comparable (P = 0.085 and 0.112, respectively) and showed excellent agreement between DANTE-VF-RARE and IOSB-RARE (ICC = 0.96 and 0.95, respectively). The luminal stenosis identified by DANTE-VF-RARE was in consistent with the results of TOF. Strong correlations were found between MR measurements and histopathological analysis for both WA (DANTE-VF-RARE: r = 0.92, slope = 0.94, P < 0.001; IOSB-RARE: r = 0.93, slope = 0.94, P < 0.001) and LA (DANTE-VF-RARE: r = 0.82, slope = 0.54, P < 0.001; IOSB-RARE: r = 0.78, slope = 0.50, P < 0.001). CONCLUSION DANTE-VF-RARE achieves effective blood signal suppression and is a feasible approach for the 3D carotid arterial wall imaging of ApoE-/- mouse at 7 T.
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Affiliation(s)
- Yuanbo Yang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhonghao Li
- Department of Pathophysiology, Key Lab for Shock and Microcirculation Research of Guangdong, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Qiang Liu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
| | - Yihao Guo
- MR Collaboration, Siemens Healthcare Ltd., Guangzhou, China
| | - Yingjie Mei
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China; Philips Healthcare, Guangzhou, China
| | - Jian Lyu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
| | - Ming Zhao
- Department of Pathophysiology, Key Lab for Shock and Microcirculation Research of Guangdong, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Yanqiu Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China.
| | - Guoxi Xie
- Department of Biomedical Engineering, The Sixth Affiliated Hospital, School of Basic Sciences, Guangzhou Medical University, Guangzhou, China.
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Wang J, Yi P, Huang Y, Yu Q, Mei Y, Chen J, Feng Y, Zhang X. Quantitative evaluation of bone marrow fat content and unsaturated fatty index in young male soccer players using proton magnetic resonance spectroscopy ( 1H-MRS): a preliminary study. Quant Imaging Med Surg 2021; 11:4275-4286. [PMID: 34603983 DOI: 10.21037/qims-21-64] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 05/08/2021] [Indexed: 12/17/2022]
Abstract
Background Marrow fat exists as a distinct adipose tissue and plays a critical role in affecting both the quantity and quality of bone. However, the effect of soccer training on marrow fat has been rarely reported. This study aims to evaluate and characterize the marrow fat content and composition in different bone areas of soccer players and age-matched healthy subjects using proton magnetic resonance spectroscopy (1H-MRS). Methods Between May 2020 and June 2020, 20 professional soccer players (20.7±0.9 years) and 20 age-matched healthy subjects (21.2±0.8 years) were enrolled in this cross-sectional study. The 1H-MRS were acquired from the 3rd lumbar vertebrae, bilateral femoral necks, and distal tibias of all subjects using a single-voxel point-resolved spatially localized spectroscopy (PRESS) sequence. Four soccer players underwent a second magnetic resonance (MR) examination within a 30-minute interval after the initial scan to evaluate test-retest reproducibility. Inter- and intra-observer measurement reliabilities were assessed using 10 randomly selected spectra from the soccer players group. All spectra were processed using the jMRUI software package (http://www.jmrui.eu/). Quantified water and lipid signals were used to calculate fat content (FC) and the unsaturated fatty index (UI). Results Compared with healthy subjects, we found that soccer players had a lower FC in L3 and bilateral femoral necks and higher UI in the left femoral neck (P<0.05). All FC and UI values of the bilateral distal tibias showed no significant differences between the two groups (P>0.05). The UI values of the right femoral neck or distal tibia were markedly higher than the left side in both inactive subjects and soccer players (P<0.05, except for the femoral neck in players), and there were notable ΔUI differences in the lower limbs between the soccer players and the healthy subjects (P<0.05). Conclusions Soccer practice can be considered a positive sport that contributes to decreasing FC in lumbar vertebrae and femoral necks and increasing the UI in femoral necks. Quantitative MRS provides an ideal modality to predict marrow fat metabolism caused by mechanical stimulation.
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Affiliation(s)
- Jian Wang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
| | - Peiwei Yi
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Yaobin Huang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
| | - Qinqin Yu
- Department of Medical Imaging, Shanghai General Hospital, Shanghai, China
| | - Yingjie Mei
- China International Center, Philips Healthcare, Guangzhou, China
| | - Jialing Chen
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
| | - Yanqiu Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Xiaodong Zhang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou, China
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He X, Sun Z, Ma K, Mei Y. [1-deoxynojirimycin alleviates liver fibrosis induced by type 2 diabetes in mice]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1342-1349. [PMID: 34658348 DOI: 10.12122/j.issn.1673-4254.2021.09.08] [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: 11/24/2022]
Abstract
OBJECTIVE To investigate the effect of 1-deoxynojirimycin (DNJ) for improving diabetic liver fibrosis and explore the underlying mechanism. METHODS Mouse models of type 2 diabetes were established in 10 Kunming mice by high-fat diet feeding for 8 weeks and intraperitoneal injection of STZ, with 5 mice receiving intraperitoneal injection of citrate buffer solution with normal feeding as the control group. The mouse models were randomized into two groups (n=5) for further highfat feeding (model group) and additional treatment with 10% DNJ in drinking water (200 mg · kg-1 per day; DNJ group) for 8 weeks. The mice were monitored for changes in body weight (BW), blood glucose, serum total cholesterol (TC), triglyceride (TG) and superoxide dismutase (SOD) levels. The pathological changes in the liver tissue were observed using HE and Sirius Red staining, and the solubility of collagens in the liver tissues was determined. The expression levels of MCP-1, TNF-α, IL-1β and TGF-β1 mRNA were detected with real-time PCR, and the protein expressions of α-SMA and collagen2 (ColA2) were determined with Western blotting. In the in vitro experiment, mouse fibroblasts L929 cells were pretreated with DNJ (10 μg/ mL) or PBS for 30 min followed by culture in high-glucose medium for 24 h, and the level of ROS production was measured using dihydroethidium (DHE) staining. RESULTS In the mouse model of type 2 diabetes, DNJ treatment significantly lowered serum level of glucose, TC, and TG (P < 0.05) and increased serum SOD activity (P < 0.05). DNJ obviously attenuated liver fibrosis in the diabetic mice, as shown by alleviated cross-linking of collagens and reduced contents of pepsin-solubilized collagen (PSC) and total collagen (P < 0.05). DNJ treatment also significantly reduced the overexpression of the proinflammatory cytokines and fibrosis-related cytokines induced by diabetes (P < 0.05). In L929 cells exposed to high glucose, pretreatment with DNJ significantly lowered the intensity of red fluorescence in DHE staining. CONCLUSION DNJ can attenuate type 2 diabetes-induced liver fibrosis in mice through its hypoglycemic, anti-inflammatory and anti-oxidative effects.
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Affiliation(s)
- X He
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Z Sun
- School of Stomatology, Zhengzhou University, Zhengzhou 450052, China
| | - K Ma
- School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Y Mei
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China
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21
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Gu YY, Mei Y, Su WT, Han J. [Determination of Methoxyacetic acid in urine by pre-column derivatization-liquid-liquid microextraction coupled with gas chromatography]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:602-605. [PMID: 34488270 DOI: 10.3760/cma.j.cn121094-20200603-00317] [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: 06/13/2023]
Abstract
Objective: To establish a method for determining methoxyacetic acid in urine by pre-column derivatization-liquid-liquid microextraction coupled with gas chromatography (GC) . Methods: Phosphate buffer solution, tert-butoxyacetic acid (internal standard) and pentafluorobenzyl bromide (derivative) were added to the urine sample. After derived in a water bath at 90 ℃ for 40 min, the mixture was cooled and filtered, then the dichloromethane was used as an extractant. After being shaken and centrifuged, the lower organic phase was sucked and injected into a gas chromatograph, separated by a DB-5 capillary column, and detected by an ECD detector. Results: The linear range of the method was 0.6~60.0 mg/L with the correlation coefficients (r) above 0.999. The average recovery was76.6%~110.7%, the inter-day precision was 8.00%~8.82%, and the detection limit was 0.13 mg/L. Conclusion: The method was founded to be high sensitivity, low organic reagent usage and green. So it is suitable for the detection of methoxyacetic acid in urine of occupational exposure to ethylene glycol monomethyl ether.
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Affiliation(s)
- Y Y Gu
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China College of Resource and Environmental Engineering of Science and Technology, Wuhan 430065, China Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Y Mei
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China
| | - W T Su
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China
| | - J Han
- College of Resource and Environmental Engineering of Science and Technology, Wuhan 430065, China
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22
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Zhao X, Wan X, Luo M, Du M, Xie Q, Zou Q, Mei Y, Liu Y. Value of Magnetic Resonance Cholangiopancreatography in Santorinicele and Wirsungocele. Curr Med Imaging 2021; 17:1451-1459. [PMID: 34348627 DOI: 10.2174/1573405617666210804153921] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 05/17/2021] [Accepted: 05/20/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Former studies showed that magnetic resonance cholangiopancreatography (MRCP) is useful in diagnosing the presence of santorinicele; however, few studies have evaluated MRCP in diagnosing wirsungocele and the association between pancreatitis and santorinicele or wirsungocele. The purpose of the study was to explore the performance of MRCP in diagnosing santorinicele and wirsungocele and investigate the potential association among pancreatitis, pancreas divisum, and santorinicele or wirsungocele. <P> Method: Seventy-five patients (mean age, 54.6 years; range, 11-82 years) with santorinicele or wirsungocele were included and sorted into two groups: the santorinicele group (n = 57) and the wirsungocele group (n = 18). All patients underwent MRCP. The images were evaluated for the appearance and size of santorinicele or wirsungocele. The diagnostic sensitivity of MRCP was assessed. Additionally, whether two groups are correlated with pancreas divisum or pancreatitis were investigated. <P> Result: The sensitivity of MRCP in detecting santorinicele and wirsungocele showed no difference (70.2% and 77.8%, respectively). The proportion of patients who developed pancreatitis in santorinicele and wirsungocele groups were 59.6% and 11.1%, respectively (p < 0.05). Pancreas divisum accounted for 78.9% and 11.1% of the patients in the santorinicele and wirsungocele groups, respectively (p < 0.05). Patients with santorinicele and pancreas divisum tended to be older when they acquired pancreatitis. <P> Conclusion: MRCP could be an alternative imaging method to detect cystic dilation of the pancreatic duct. Pancreatitis is more common in patients with santorinicele than in those with wirsungocele. Moreover, santorinicele is more closely associated with pancreatitis than with pancreas divisum.
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Affiliation(s)
- Xinzhu Zhao
- Medical Imaging Center, Shenzhen Hospital of Southern Medical University, Shenzhen, 518100. China
| | - Xing Wan
- Medical Imaging Center, Shenzhen Hospital of Southern Medical University, Shenzhen, 518100. China
| | - Min Luo
- Medical Imaging Center, Shenzhen Hospital of Southern Medical University, Shenzhen, 518100. China
| | - Mu Du
- Medical Imaging Center, Shenzhen Hospital of Southern Medical University, Shenzhen, 518100. China
| | - Qiuxia Xie
- Medical Imaging Center, Shenzhen Hospital of Southern Medical University, Shenzhen, 518100. China
| | - Qian Zou
- Medical Imaging Center, Shenzhen Hospital of Southern Medical University, Shenzhen, 518100. China
| | - Yingjie Mei
- Philips Healthcare, Guangzhou, 510000. China
| | - Yubao Liu
- Medical Imaging Center, Shenzhen Hospital of Southern Medical University, Shenzhen, 518100. China
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23
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Adams DQ, Alduino C, Alfonso K, Avignone FT, Azzolini O, Bari G, Bellini F, Benato G, Biassoni M, Branca A, Brofferio C, Bucci C, Camilleri J, Caminata A, Campani A, Canonica L, Cao XG, Capelli S, Cappelli L, Cardani L, Carniti P, Casali N, Chiesa D, Clemenza M, Copello S, Cosmelli C, Cremonesi O, Creswick RJ, D'Addabbo A, Dafinei I, Davis CJ, Dell'Oro S, Di Domizio S, Dompè V, Fang DQ, Fantini G, Faverzani M, Ferri E, Ferroni F, Fiorini E, Franceschi MA, Freedman SJ, Fu SH, Fujikawa BK, Giachero A, Gironi L, Giuliani A, Gorla P, Gotti C, Gutierrez TD, Han K, Heeger KM, Huang RG, Huang HZ, Johnston J, Keppel G, Kolomensky YG, Ligi C, Ma L, Ma YG, Marini L, Maruyama RH, Mayer D, Mei Y, Moggi N, Morganti S, Napolitano T, Nastasi M, Nikkel J, Nones C, Norman EB, Nucciotti A, Nutini I, O'Donnell T, Ouellet JL, Pagan S, Pagliarone CE, Pagnanini L, Pallavicini M, Pattavina L, Pavan M, Pessina G, Pettinacci V, Pira C, Pirro S, Pozzi S, Previtali E, Puiu A, Rosenfeld C, Rusconi C, Sakai M, Sangiorgio S, Schmidt B, Scielzo ND, Sharma V, Singh V, Sisti M, Speller D, Surukuchi PT, Taffarello L, Terranova F, Tomei C, Vetter KJ, Vignati M, Wagaarachchi SL, Wang BS, Welliver B, Wilson J, Wilson K, Winslow LA, Zimmermann S, Zucchelli S. Measurement of the 2νββ Decay Half-Life of ^{130}Te with CUORE. Phys Rev Lett 2021; 126:171801. [PMID: 33988435 DOI: 10.1103/physrevlett.126.171801] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 03/10/2021] [Accepted: 03/11/2021] [Indexed: 06/12/2023]
Abstract
We measured two-neutrino double beta decay of ^{130}Te using an exposure of 300.7 kg yr accumulated with the CUORE detector. Using a Bayesian analysis to fit simulated spectra to experimental data, it was possible to disentangle all the major background sources and precisely measure the two-neutrino contribution. The half-life is in agreement with past measurements with a strongly reduced uncertainty: T_{1/2}^{2ν}=7.71_{-0.06}^{+0.08}(stat)_{-0.15}^{+0.12}(syst)×10^{20} yr. This measurement is the most precise determination of the ^{130}Te 2νββ decay half-life to date.
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Affiliation(s)
- D Q Adams
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - C Alduino
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Alfonso
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - F T Avignone
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - O Azzolini
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - G Bari
- INFN-Sezione di Bologna, Bologna I-40127, Italy
| | - F Bellini
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - G Benato
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Biassoni
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - A Branca
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Brofferio
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Bucci
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - J Camilleri
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - A Caminata
- INFN-Sezione di Genova, Genova I-16146, Italy
| | - A Campani
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Canonica
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - X G Cao
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - S Capelli
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - L Cappelli
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - L Cardani
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - P Carniti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - N Casali
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - D Chiesa
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M Clemenza
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Copello
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - C Cosmelli
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - O Cremonesi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - R J Creswick
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - A D'Addabbo
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - I Dafinei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - C J Davis
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - S Dell'Oro
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Di Domizio
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - V Dompè
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - D Q Fang
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - G Fantini
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - M Faverzani
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Ferri
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - F Ferroni
- INFN-Sezione di Roma, Roma I-00185, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - E Fiorini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M A Franceschi
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - S J Freedman
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S H Fu
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - B K Fujikawa
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A Giachero
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - L Gironi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Giuliani
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - P Gorla
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - C Gotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - T D Gutierrez
- Physics Department, California Polytechnic State University, San Luis Obispo, California 93407, USA
| | - K Han
- INPAC and School of Physics and Astronomy, Shanghai Jiao Tong University; Shanghai Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - K M Heeger
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R G Huang
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - H Z Huang
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - J Johnston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Keppel
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - Yu G Kolomensky
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - C Ligi
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - L Ma
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - Y G Ma
- Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - L Marini
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - R H Maruyama
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D Mayer
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Y Mei
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N Moggi
- INFN-Sezione di Bologna, Bologna I-40127, Italy
- Dipartimento di Fisica e Astronomia, Alma Mater Studiorum-Università di Bologna, Bologna I-40127, Italy
| | - S Morganti
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - T Napolitano
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - M Nastasi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - J Nikkel
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - C Nones
- IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - E B Norman
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - A Nucciotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - I Nutini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - T O'Donnell
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - J L Ouellet
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Pagan
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - C E Pagliarone
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Dipartimento di Ingegneria Civile e Meccanica, Università degli Studi di Cassino e del Lazio Meridionale, Cassino I-03043, Italy
| | - L Pagnanini
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - M Pallavicini
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Pattavina
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Pavan
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - G Pessina
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | | | - C Pira
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - S Pirro
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - S Pozzi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Previtali
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Puiu
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - C Rosenfeld
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - C Rusconi
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Sakai
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - S Sangiorgio
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Schmidt
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N D Scielzo
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - V Sharma
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - V Singh
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Sisti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - D Speller
- Department of Physics and Astronomy, The Johns Hopkins University, 3400 North Charles Street Baltimore, Maryland 21211, USA
| | - P T Surukuchi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | | | - F Terranova
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Tomei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - K J Vetter
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - M Vignati
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - S L Wagaarachchi
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - B S Wang
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - B Welliver
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - L A Winslow
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Zimmermann
- Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Zucchelli
- INFN-Sezione di Bologna, Bologna I-40127, Italy
- Dipartimento di Fisica e Astronomia, Alma Mater Studiorum-Università di Bologna, Bologna I-40127, Italy
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Guo L, Li X, Cao H, Hua J, Mei Y, Pillai JJ, Wu Y. Inflow-based vascular-space-occupancy (iVASO) might potentially predict IDH mutation status and tumor grade in diffuse cerebral gliomas. J Neuroradiol 2021; 49:267-274. [PMID: 33482231 DOI: 10.1016/j.neurad.2021.01.002] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 12/13/2020] [Accepted: 01/11/2021] [Indexed: 02/08/2023]
Abstract
PURPOSE The aim of the study is to assess the diagnostic performance of inflow-based vascular-space-occupancy (iVASO) MR imaging for differentiating glioblastomas (grade IV, GBM) and lower-grade diffuse gliomas (grade II and III, LGG) and its potential to predict IDH mutation status. METHODS One hundred and two patients with diffuse cerebral glioma (56 males; median age, 43.5 years) underwent iVASO and dynamic susceptibility contrast (DSC) MR imaging. The iVASO-derived arteriolar cerebral blood volume (CBVa), relative CBVa (rCBVa), and the DSC-derived relative cerebral blood volume (rCBV) were obtained, and these measurements were compared between the GBM group (n = 43) and the LGG group (n = 59) and between the IDH-mutation group (n = 54) and the IDH-wild group (n = 48). RESULTS Significant correlation was observed between rCBV and CBVa (P < 0.001) or rCBVa (P < 0.001). Both CBVa (P < 0.001) and rCBVa (P < 0.001) were higher in the GBM group. Both CBVa (P < 0.001) and rCBVa (P < 0.001) were lower in the IDH-mutation group compared to the IDH-wild group. Receiver operating characteristic analyses showed the area under curve (AUC) of 0.95 with CBVa and 0.97 with rCBVa in differentiating GBM from LGG. The AUCs were 0.82 and 0.85 for CBVa and rCBVa in predicting IDH gene status, respectively, which were lower than that of rCBV (AUC = 0.90). Combined rCBV and rCBVa significantly improved the diagnostic performance (AUC = 0.95). CONCLUSIONS iVASO MR imaging has the potential to predict IDH mutation and grade in glioma.
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Affiliation(s)
- Liuji Guo
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Xiaodan Li
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Haimei Cao
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Jun Hua
- Neurosection, Division of MRI Research, Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Yingjie Mei
- China International Center, Philips Healthcare, Guangzhou, PR China
| | - Jay J Pillai
- Division of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yuankui Wu
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, PR China.
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Chen HC, Peng SJ, Gao HM, Su WT, Mei Y, Yi GL. [Determination of n-butyl alcohol in urine by headspace solid-phase microextraction coupled with gas chromatography]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 38:932-935. [PMID: 33406560 DOI: 10.3760/cma.j.cn121094-20200102-00003] [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 establish a headspace solid phase microextraction-gas chromatography method for determination of n-Butyl alcohol in urine. Methods: In October 2019, the n-butyl alcohol in urine was extracted with a polydimethylsiloxane/divinylbenzene (PDMS/DVB) solid-phase microextraction head. The conditions of salt amount, extraction temperature, extraction time and desorption time were optimized. The separation was performed on HP-5 (30 m×0.32 mm×0.25 μm) capillary column and detected with flame ionization detector. The quantification was based on the external standard curve. Results: The linear relationship of n-butyl alcohol in urine was good in the range of 0.04-3.00 mg/L, the correlation coefficient was 0.999, the detection limit of the method was 0.04 mg/L, the recovery was 77.4%-102.8%, the intra-run precision was 3.67%-8.11%, and the inter-assay precision was 4.94%-6.90%. Conclusion: The method has simple operation, high concentration efficiency and high sensitivity, and it is suitable for the determination of n-butyl alcohol in urine of occupational exposure to n-butyl alcohol.
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Affiliation(s)
- H C Chen
- Key Laboratory of Occupational Hazards Identification and Control in Hubei Province, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - S J Peng
- Key Laboratory of Occupational Hazards Identification and Control in Hubei Province, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - H M Gao
- Key Laboratory of Occupational Hazards Identification and Control in Hubei Province, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - W T Su
- Key Laboratory of Occupational Hazards Identification and Control in Hubei Province, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Y Mei
- Key Laboratory of Occupational Hazards Identification and Control in Hubei Province, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - G L Yi
- Wuhan Prevention and Treatment Center for Occupational Disease, Wuhan 430015, China
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Wei X, Jian X, Xie J, Chen R, Li X, Du Z, Zhong X, Li J, Zhou X, Ren G, Mei Y, Liu H. T1 mapping and feature tracking imaging of left ventricular extracellular remodeling in severe aortic stenosis. Cardiovasc Diagn Ther 2020; 10:1847-1857. [PMID: 33381429 DOI: 10.21037/cdt-20-803] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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: 11/06/2022]
Abstract
Background Left ventricular (LV) extracellular remodeling is a critical process in aortic stenosis (AS), which is related to functional abnormalities. Data regarding the use of combined T1 mapping and feature tracking (FT) to assess LV extracellular remodeling in severe AS are scarce. This study aimed to investigate the ability of T1-derived and FT-derived parameters to identify and assess the changes in process of LV extracellular remodeling in patients with severe AS. Methods A total of 49 patients with severe AS and 20 healthy volunteers were prospectively recruited. Modified look-locker inversion-recovery T1 mapping and FT imaging were performed in all participants using 3.0-T cardiac magnetic resonance imaging. The degree of myocardial fibrosis was quantified using Masson trichrome stain in biopsy specimens obtained intraoperatively from 13 patients and expressed as collagen volume fraction (CVF). Patients were divided into subgroups according to preserved LV ejection fraction (LVEF) (LVEF ≥50%) or reduced LVEF (LVEF <50%). Results Regarding the diffuse fibrosis burden, extracellular volume (ECV) was statistically insignificant between patients with preserved LVEF) and controls (28.0%±3.3% vs. 26.5%±2.3%, P>0.05). ECV in the reduced LVEF group (n=20) was significantly higher than that in the preserved LVEF group (n=29) (30.4%±3.9% vs. 28.0%±3.3%, P<0.05). Regarding the myocardial strain, global longitudinal strain (GLS) showed increasing impairment from the control group to the preserved LVEF AS group to the reduced LVEF AS group (-23.4%±3.3% vs. -18.6%±3.8% vs. -11.2%±4.8%, P<0.05). A significant correlation was found between ECV and CVF (r=0.64, P=0.020), whereas the correlation between GLS and CVF was insignificant. Significant correlations were observed between GLS and LV mass index (r=0.72, P=0.006) and LVEF (r=0.82, P<0.001). However, no correlations were found between ECV and LV mass index (P=0.172) and between ECV and LVEF (P=0.339). Discrimination of patients with preserved LVEF from controls, GLS yielded the best diagnostic performance as defined by the area of under the curve (-0.83), and GLS, ECV, and post-T1 were significant discriminators after regression analysis. Conclusions In the process of LV extracellular remodeling in severe AS, ECV is the structural marker of extracellular fibrosis burden, and GLS is the functional marker before the fibrosis burden intensifies.
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Affiliation(s)
- Xiaoyu Wei
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xuhua Jian
- Department of Cardiac Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jiajun Xie
- Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Rui Chen
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaodan Li
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhicheng Du
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaomei Zhong
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jinglei Li
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaobing Zhou
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Guanmin Ren
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | | | - Hui Liu
- School of Medicine, South China University of Technology, Guangzhou, China.,Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Gu YY, Mei Y, Nie MH, Sheng XG, Fang RD, Su WT, Han J. [Determination of metabolites of styrene in urine by dispersive liquid-liquid microextraction coupled with high performance liquid chromatography]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020; 38:689-692. [PMID: 33036535 DOI: 10.3760/cma.j.cn121094-20191010-00469] [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 establish a method for the determination of mandelic acid and phenylglyoxylic acid in the urine of styrene by dispersive liquid-liquid microextraction-high coupled with high performance liquid chromatography. Methods: N-octanol was used as an extractant and ethanol was used as a dispersing agent. The phenylglycolic acid and phenylglyoxylic acid in the urine were extracted, and the upper liquid was taken after vortexing and centrifuged, and then was injected into HPLC for analysis. Results: The linear correlation coefficient of the concentration of phenylglycolic acid in the range of 0~10.0 mg/L was greater than 0.999. The detection limit of the method was 9.9 μg/L, the recovery rates were 86.1%~101.6%. The intraday RSDs of the method were 1.07%~3.76%, and the interday RSDs were 1.24%~3.33%. The linear correlation coefficient of phenylglyoxylic acid in the range of 0.0~2.0 mg/L is greater than 0.999. The detection limit of the method was 2.6 μg/L, the recovery rates were 88.8%~100.3%. The intraday RSDs of the method were 1.02%~ 3.17%, and the interday RSDs were 1.59%~2.41%. Conclusion: The method has low detection limit, high enrichment ratio and good sensitivity, and is suitable for determination of phenylglycolic acid and phenylglyoxylic acid in urine of occupational exposure to styrene.
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Affiliation(s)
- Y Y Gu
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China ; College of Resource and Environmental Engineering of Science and Technology, Wuhan 430065, China ; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Y Mei
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China ; Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China
| | - M H Nie
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - X G Sheng
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - R D Fang
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - W T Su
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - J Han
- College of Resource and Environmental Engineering of Science and Technology, Wuhan 430065, China
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Ren YM, Mei Y, Fang RD. [Determination of nickel in urine by ultrasonic-assisted ionic liquid microextraction-graphite furnace atomic absorption spectrometry]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020; 38:767-769. [PMID: 33142384 DOI: 10.3760/cma.j.cn121094-20191010-00483] [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 set up a new method to determine the nickel of urine in urine using dispersive liquid-liquid microextraction (DLLME) coupled with graphite furnace atomic absorption spectrometry (GFAAS) . Methods: From September 2018 to September 2019, the methanol, pyrrolidine dithiocarbamate and ionic liquid 1-hexyl-3-methyl-imidazolium hexafluorophosphate were used as dispersive solvent, the chelating agent and extraction solvent for the preconcentration of nickel, respectively. After adding into buffer solution of pH 9, ultrasonic dissolving for 10 minutes, centrifugal separation and then discarding the supernatant, the precipitate was saved. Dissolving the precipitate by methanol, mixing thoroughly on a vortex mixer, the 15 μl of the mixed solution was used for determination by graphite furnace atomic absorption spectrometry. Results: The linear correlation coefficient of urine nickel concentration in the range of 2.0-10.0 μg/L, r=0.999, with the detection limitation of 0.43 μg/L. The recovery rate and the relative standard deviations were 95.6%-103.7% and 2.53%-4.82%, respectively. Conclusion: The method, which has low detection limit, high recovery rate and good precision, is suitable for the determination of nickel in urine for the occupational populations exposure to nickel and non-occupational exposure.
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Affiliation(s)
- Y M Ren
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Y Mei
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - R D Fang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
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Wang Y, Gu YY, Fang RD, Mei Y. [Determination of manganese in human urine by dispersive ionic liquid-liquid microextraction-graphite furnace atomic absorption spectrometry]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020; 38:216-218. [PMID: 32306698 DOI: 10.3760/cma.j.cn121094-20190718-00313] [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 establish a method for the determination of manganese in urine with graphite furnace atomic absorption spectrometry (GFAAS) by using ionic liquid microextraction. Methods: The ethanol, 8-hydroxyquinoline and ionic liquid 1-octyl-3-methyl-imidazolium hexafluorophosphate were used as dispersive solvent, chelating agent and extraction solvent respectively, for the preconcentration of manganese. After the optimal extraction conditions were optimized by single factor rotations, evaluate the performance indicators such as methodological precision, accuracy, and detection limit. Results: The linear range of urine manganese was 0.0-1.6 μg/L, and the correlation coefficient of standard curve line was 0.992, the detection limit was 0.03 μg/L, the recovery of sample spiked was 84.90%-96.50%, and the relative standard deviation was 0.36%-1.84%. Conclusion: The method has the advantages of low detection limit, high recovery rate and high sensitivity. It is suitable for the determination of manganese in urine samples from occupational exposure populations and the general population.
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Affiliation(s)
- Y Wang
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China; Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430064, China
| | - Y Y Gu
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - R D Fang
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Y Mei
- School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China
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Zhao K, Pohlmann A, Feng Q, Mei Y, Yang G, Yi P, Feng Q, Chen W, Zhou L, Wu EX, Seeliger E, Niendorf T, Feng Y. Physiological system analysis of the kidney by high-temporal-resolution T 2 ∗ monitoring of an oxygenation step response. Magn Reson Med 2020; 85:334-345. [PMID: 32710578 DOI: 10.1002/mrm.28399] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 05/21/2020] [Accepted: 06/08/2020] [Indexed: 11/11/2022]
Abstract
PURPOSE Examine the feasibility of characterizing the regulation of renal oxygenation using high-temporal-resolution monitoring of the T 2 ∗ response to a step-like oxygenation stimulus. METHODS For T 2 ∗ mapping, multi-echo gradient-echo imaging was used (temporal resolution = 9 seconds). A step-like renal oxygenation challenge was applied involving sequential exposure to hyperoxia (100% O2 ), hypoxia (10% O2 + 90% N2 ), and hyperoxia (100% O2 ). In vivo experiments were performed in healthy rats (N = 10) and in rats with bilateral ischemia-reperfusion injury (N = 4). To assess the step response of renal oxygenation, a second-order exponential model was used (model parameters: amplitude [A], time delay [Δt], damping constant [D], and period of the oscillation [T]) for renal cortex, outer stripe of the outer medulla, inner stripe of the outer medulla, and inner medulla. RESULTS The second-order exponential model permitted us to model the exponential T 2 ∗ recovery and the superimposed T 2 ∗ oscillation following renal oxygenation stimulus. The in vivo experiments revealed a difference in Douter medulla between healthy controls (D < 1, indicating oscillatory recovery) and ischemia-reperfusion injury (D > 1, reflecting aperiodic recovery). The increase in Douter medulla by a factor of 3.7 (outer stripe of the outer medulla) and 10.0 (inner stripe of the outer medulla) suggests that this parameter might be rather sensitive to (patho)physiological oxygenation changes. CONCLUSION This study demonstrates the feasibility of monitoring the dynamic oxygenation response of renal tissues to a step-like oxygenation challenge using high-temporal-resolution T 2 ∗ mapping. Our results suggest that the implemented system analysis approach may help to unlock questions regarding regulation of renal oxygenation, with the ultimate goal of providing imaging means for diagnostics and therapy of renal diseases.
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Affiliation(s)
- Kaixuan Zhao
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Andreas Pohlmann
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Qijian Feng
- State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yingjie Mei
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China.,Philips Healthcare, Guangzhou, China
| | - Guixiang Yang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Peiwei Yi
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Qianjin Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Wufang Chen
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Lili Zhou
- State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ed X Wu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, China
| | - Erdmann Seeliger
- Center for Cardiovascular Research, Institute of Physiology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Yanqiu Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
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31
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Li G, Jiang G, Mei Y, Gao P, Liu R, Jiang M, Zhao Y, Li M, Wu Y, Fu S, Liu M, Li L, Li W, Yan J. Applying Amide Proton Transfer-Weighted Imaging (APTWI) to Distinguish Papillary Thyroid Carcinomas and Predominantly Solid Adenomatous Nodules: Comparison With Diffusion-Weighted Imaging. Front Oncol 2020; 10:918. [PMID: 32637356 PMCID: PMC7317983 DOI: 10.3389/fonc.2020.00918] [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: 10/23/2019] [Accepted: 05/11/2020] [Indexed: 11/30/2022] Open
Abstract
Background: Amide proton transfer-weighted (ATPw) imaging is a novel MRI technique that has been used to identify benign and malignant tumors. The present study evaluated the role of APTw imaging in differentiating papillary thyroid carcinoma from predominantly solid adenomatous nodule. Methods: This study included 24 cases of solitary papillary thyroid carcinoma, and 20 cases of solid adenomatous nodules. Normal thyroid tissues were examined in 12 healthy subjects. The healthy subjects, eight cases of adenomatous nodule with cystic degeneration, and 12 cases of thyroid goiter, were only considered in the descriptive analysis, not included in our statistical analysis. The mean APTw value and the apparent diffusion coefficients (ADCs) of papillary thyroid carcinoma and solid adenomatous nodule were compared via a Mann-Whitney U test and receiver operating characteristic (ROC)-curve analyses. Results: The adenomatous nodule (3.3 ± 1.3%) exhibited significantly higher APTw value (p < 0.05) than that of the papillary thyroid carcinoma (1.8 ± 0.7%). The optimal cut-off value of the mean APTw value in differentiating papillary thyroid carcinoma from adenomatous nodule was 3.15%, with a sensitivity of 60% and a specificity of 100%. The mean ADC of papillary thyroid carcinoma (1.2 ± 0.2 × 10−3 mm2/s) was significantly lower than that of adenomatous nodule (2.0 ± 0.4 × 10−3 mm2/s). The optimal cut-off value of the mean ADC was 1.35 × 10−3 mm2/s, with a sensitivity of 100% and a specificity of 75%. Based on the ROC-curve analysis of APT and ADC, the ADC showed a higher area under the curve (AUC) than that of APT (AUCAPT = 0.84, AUCADC = 0.95). Conclusion: APTw imaging may be as useful as DWI for the differentiation of papillary thyroid carcinoma from predominantly solid adenomatous nodule. Although the sensitivity of ADC was greater than that of APT, APT had greater specificity.
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Affiliation(s)
- Guomin Li
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.,The Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Guihua Jiang
- The Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | | | - Peng Gao
- Department of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Ruijian Liu
- Department of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Min Jiang
- Department of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yue Zhao
- Department of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Meng Li
- The Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yunfan Wu
- The Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Shishun Fu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Mengchen Liu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Liming Li
- The Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Wuming Li
- The Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Jianhao Yan
- The Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, China
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Lin P, Zhu S, Huang Y, Li L, Tao J, Lei T, Song J, Liu D, Chen L, Shi Y, Jiang S, Liu Q, Xie J, Chen H, Duan Y, Xia Y, Zhou Y, Mei Y, Zhou X, Wu J, Fang M, Meng Z, Li H. Adverse skin reactions among healthcare workers during the coronavirus disease 2019 outbreak: a survey in Wuhan and its surrounding regions. Br J Dermatol 2020; 183:190-192. [PMID: 32255197 PMCID: PMC7262186 DOI: 10.1111/bjd.19089] [Citation(s) in RCA: 119] [Impact Index Per Article: 29.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- P Lin
- Department of Dermatology and Venerology, Peking University First Hospital, Beijing, China.,Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China.,National Clinical Research Center for Skin and Immune Diseases, Beijing, China
| | - S Zhu
- Department of Biostatistics, Peking University First Hospital, Beijing, China
| | - Y Huang
- Division of Dermatology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - L Li
- Department of Infection Management, Peking University First Hospital, Beijing, China
| | - J Tao
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - T Lei
- Department of Dermatology and Venerology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - J Song
- Department of Dermatology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - D Liu
- Department of Dermatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - L Chen
- Department of Dermatology, Wuhan First Hospital, Wuhan, Hubei, China
| | - Y Shi
- Department of Dermatology and Venerology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - S Jiang
- Department of Dermatology and Venerology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Q Liu
- Department of Dermatology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - J Xie
- Department of Dermatology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - H Chen
- Department of Dermatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Duan
- Department of Dermatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Xia
- Department of Dermatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Zhou
- Department of Dermatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Y Mei
- Department of Dermatology, Wuhan First Hospital, Wuhan, Hubei, China
| | - X Zhou
- Department of Dermatology, Wuhan First Hospital, Wuhan, Hubei, China
| | - J Wu
- Department of Dermatology, Wuhan First Hospital, Wuhan, Hubei, China
| | - M Fang
- Department of Dermatology, Xiaogan Central Hospital, Xiaogan, Hubei, China
| | - Z Meng
- Department of Dermatology, Renmin Hospital Hubei University of Medicine, Shiyan, Hubei, China
| | - H Li
- Department of Dermatology and Venerology, Peking University First Hospital, Beijing, China.,Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China.,National Clinical Research Center for Skin and Immune Diseases, Beijing, China
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Lyu J, Yang G, Mei Y, Guo L, Guo Y, Zhang X, Xu Y, Feng Y. Non-Gaussian Diffusion Models and T 1 rho Quantification in the Assessment of Hepatic Sinusoidal Obstruction Syndrome in Rats. J Magn Reson Imaging 2020; 52:1110-1121. [PMID: 32246796 DOI: 10.1002/jmri.27156] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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: 01/03/2020] [Revised: 03/18/2020] [Accepted: 03/18/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Non-Gaussian diffusion models and T1 rho quantification may reflect the changes in tissue heterogeneity in hepatic sinusoidal obstruction syndrome (SOS). PURPOSE To investigate the feasibility of diffusion kurtosis imaging (DKI), stretched exponential model (SEM), and T1 rho quantification in detecting and staging SOS in a monocrotaline (MCT)-induced rat model. STUDY TYPE Animal study. POPULATION Thirty male Sprague-Dawley rats gavaged with MCT to induce hepatic SOS and six male rats without any intervention. FIELD STRENGTH/SEQUENCE 3.0T, DWI with five b-values (0-2000 s/mm2 ) and T1 rho with five spin lock times (1-60 msec). ASSESSMENT MRI was performed 1 day before and 1, 3, 5, 7, and 10 days after MCT administration. The corrected apparent diffusion coefficient (Dapp ), kurtosis coefficient (Kapp ), distributed diffusion coefficient (DDC), and intravoxel water molecular diffusion heterogeneity (α) were calculated from the corresponding non-Gaussian diffusion model. The T1 rho value was calculated using a monoexponential model. Specimens obtained from the six timepoints were categorized into normal liver (n = 6), early-stage (n = 16), and late-stage (n = 14) SOS in accordance with the pathological score. STATISTICAL TESTS Parametric statistical methods and receiver operating characteristic (ROC) curves were employed to determine diagnostic accuracy. RESULTS The Dapp , Kapp , DDC, α, and T1 rho values were correlated with pathological score with r values of -0.821, 0.726, -0.828, -0.739, and 0.714 (all P < 0.001), respectively. DKI (combined Dapp and Kapp ) and SEM (combined DDC and α) were better than T1 rho for staging SOS. The areas under the ROC curve of DKI, SEM, and T1 rho for differentiating normal liver and early-stage SOS were 0.97, 1.00, and 0.79, whereas those of DKI, SEM, and T1 rho for differentiating early-stage and late-stage SOS were 1.00, 0.97, and 0.92, respectively. DATA CONCLUSION DKI, SEM, and T1 rho may be helpful in staging SOS. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY STAGE: 2 J. Magn. Reson. Imaging 2020;52:1110-1121.
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Affiliation(s)
- Jian Lyu
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
| | - Guixiang Yang
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.,Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, Guangdong, China
| | - Yingjie Mei
- Philips Healthcare, Guangzhou, Guangdong, China
| | - Li Guo
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China.,Department of MRI, The First People's Hospital of Foshan (Affiliated Foshan Hospital of Sun Yat-sen University), Foshan, Guangdong, China
| | - Yihao Guo
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
| | - Xinyuan Zhang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.,Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, Guangdong, China
| | - Yanqiu Feng
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
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34
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Adams DQ, Alduino C, Alfonso K, Avignone FT, Azzolini O, Bari G, Bellini F, Benato G, Biassoni M, Branca A, Brofferio C, Bucci C, Caminata A, Campani A, Canonica L, Cao XG, Capelli S, Cappelli L, Cardani L, Carniti P, Casali N, Chiesa D, Chott N, Clemenza M, Copello S, Cosmelli C, Cremonesi O, Creswick RJ, D'Addabbo A, D'Aguanno D, Dafinei I, Davis CJ, Dell'Oro S, Di Domizio S, Dompè V, Fang DQ, Fantini G, Faverzani M, Ferri E, Ferroni F, Fiorini E, Franceschi MA, Freedman SJ, Fujikawa BK, Giachero A, Gironi L, Giuliani A, Gorla P, Gotti C, Gutierrez TD, Han K, Heeger KM, Huang RG, Huang HZ, Johnston J, Keppel G, Kolomensky YG, Ligi C, Ma YG, Ma L, Marini L, Maruyama RH, Mei Y, Moggi N, Morganti S, Napolitano T, Nastasi M, Nikkel J, Nones C, Norman EB, Novati V, Nucciotti A, Nutini I, O'Donnell T, Ouellet JL, Pagliarone CE, Pagnanini L, Pallavicini M, Pattavina L, Pavan M, Pessina G, Pettinacci V, Pira C, Pirro S, Pozzi S, Previtali E, Puiu A, Rosenfeld C, Rusconi C, Sakai M, Sangiorgio S, Schmidt B, Scielzo ND, Sharma V, Singh V, Sisti M, Speller D, Surukuchi PT, Taffarello L, Terranova F, Tomei C, Vignati M, Wagaarachchi SL, Wang BS, Welliver B, Wilson J, Wilson K, Winslow LA, Zanotti L, Zimmermann S, Zucchelli S. Improved Limit on Neutrinoless Double-Beta Decay in ^{130} Te with CUORE. Phys Rev Lett 2020; 124:122501. [PMID: 32281829 DOI: 10.1103/physrevlett.124.122501] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 02/11/2020] [Accepted: 02/27/2020] [Indexed: 06/11/2023]
Abstract
We report new results from the search for neutrinoless double-beta decay in ^{130} Te with the CUORE detector. This search benefits from a fourfold increase in exposure, lower trigger thresholds, and analysis improvements relative to our previous results. We observe a background of (1.38±0.07)×10^{-2} counts/(keV kg yr)) in the 0νββ decay region of interest and, with a total exposure of 372.5 kg yr, we attain a median exclusion sensitivity of 1.7×10^{25} yr. We find no evidence for 0νββ decay and set a 90% credibility interval Bayesian lower limit of 3.2×10^{25} yr on the ^{130} Te half-life for this process. In the hypothesis that 0νββ decay is mediated by light Majorana neutrinos, this results in an upper limit on the effective Majorana mass of 75-350 meV, depending on the nuclear matrix elements used.
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Affiliation(s)
- D Q Adams
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - C Alduino
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Alfonso
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - F T Avignone
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - O Azzolini
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - G Bari
- INFN-Sezione di Bologna, Bologna I-40127, Italy
| | - F Bellini
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - G Benato
- Department of Physics, University of California, Berkeley, California 94720, USA
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Biassoni
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - A Branca
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Brofferio
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Bucci
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - A Caminata
- INFN-Sezione di Genova, Genova I-16146, Italy
| | - A Campani
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Canonica
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - X G Cao
- Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - S Capelli
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - L Cappelli
- Department of Physics, University of California, Berkeley, California 94720, USA
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - L Cardani
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - P Carniti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - N Casali
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - D Chiesa
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - N Chott
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Clemenza
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Copello
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - C Cosmelli
- Dipartimento di Fisica, Sapienza Università di Roma, Roma I-00185, Italy
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - O Cremonesi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | - R J Creswick
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - A D'Addabbo
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - D D'Aguanno
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Dipartimento di Ingegneria Civile e Meccanica, Università degli Studi di Cassino e del Lazio Meridionale, Cassino I-03043, Italy
| | - I Dafinei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - C J Davis
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - S Dell'Oro
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - S Di Domizio
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - V Dompè
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - D Q Fang
- Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - G Fantini
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - M Faverzani
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Ferri
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - F Ferroni
- INFN-Sezione di Roma, Roma I-00185, Italy
- Gran Sasso Science Institute, L'Aquila I-67100, Italy
| | - E Fiorini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M A Franceschi
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - S J Freedman
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - B K Fujikawa
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A Giachero
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - L Gironi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Giuliani
- CSNSM, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, 91405 Orsay, France
| | - P Gorla
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - C Gotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - T D Gutierrez
- Physics Department, California Polytechnic State University, San Luis Obispo, California 93407, USA
| | - K Han
- INPAC and School of Physics and Astronomy, Shanghai Jiao Tong University; Shanghai Laboratory for Particle Physics and Cosmology, Shanghai 200240, China
| | - K M Heeger
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R G Huang
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - H Z Huang
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - J Johnston
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Keppel
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - Yu G Kolomensky
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - C Ligi
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - Y G Ma
- Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
| | - L Ma
- Department of Physics and Astronomy, University of California, Los Angeles, California 90095, USA
| | - L Marini
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - R H Maruyama
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Mei
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N Moggi
- INFN-Sezione di Bologna, Bologna I-40127, Italy
- Dipartimento di Fisica e Astronomia, Alma Mater Studiorum-Università di Bologna, Bologna I-40127, Italy
| | - S Morganti
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - T Napolitano
- INFN-Laboratori Nazionali di Frascati, Frascati (Roma) I-00044, Italy
| | - M Nastasi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - J Nikkel
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - C Nones
- Service de Physique des Particules, CEA/Saclay, 91191 Gif-sur-Yvette, France
| | - E B Norman
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - V Novati
- CSNSM, Univ. Paris-Sud, CNRS/IN2P3, Universit Paris-Saclay, 91405 Orsay, France
| | - A Nucciotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - I Nutini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - T O'Donnell
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - J L Ouellet
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - C E Pagliarone
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
- Dipartimento di Ingegneria Civile e Meccanica, Università degli Studi di Cassino e del Lazio Meridionale, Cassino I-03043, Italy
| | - L Pagnanini
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - M Pallavicini
- INFN-Sezione di Genova, Genova I-16146, Italy
- Dipartimento di Fisica, Università di Genova, Genova I-16146, Italy
| | - L Pattavina
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Pavan
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - G Pessina
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
| | | | - C Pira
- INFN-Laboratori Nazionali di Legnaro, Legnaro (Padova) I-35020, Italy
| | - S Pirro
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - S Pozzi
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - E Previtali
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - A Puiu
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Rosenfeld
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - C Rusconi
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
- INFN-Laboratori Nazionali del Gran Sasso, Assergi (L'Aquila) I-67100, Italy
| | - M Sakai
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - S Sangiorgio
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - B Schmidt
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N D Scielzo
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - V Sharma
- Center for Neutrino Physics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - V Singh
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Sisti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - D Speller
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - P T Surukuchi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | | | - F Terranova
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - C Tomei
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - M Vignati
- INFN-Sezione di Roma, Roma I-00185, Italy
| | - S L Wagaarachchi
- Department of Physics, University of California, Berkeley, California 94720, USA
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - B S Wang
- Lawrence Livermore National Laboratory, Livermore, California 94550, USA
- Department of Nuclear Engineering, University of California, Berkeley, California 94720, USA
| | - B Welliver
- Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - K Wilson
- Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA
| | - L A Winslow
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - L Zanotti
- INFN-Sezione di Milano Bicocca, Milano I-20126, Italy
- Dipartimento di Fisica, Università di Milano-Bicocca, Milano I-20126, Italy
| | - S Zimmermann
- Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S Zucchelli
- INFN-Sezione di Bologna, Bologna I-40127, Italy
- Dipartimento di Fisica e Astronomia, Alma Mater Studiorum-Università di Bologna, Bologna I-40127, Italy
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Sun X, Lu L, Qi L, Mei Y, Liu X, Chen W. A robust electrical conductivity imaging method with total variation and wavelet regularization. Magn Reson Imaging 2020; 69:28-39. [PMID: 32145270 DOI: 10.1016/j.mri.2020.02.015] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 01/23/2020] [Accepted: 02/27/2020] [Indexed: 11/29/2022]
Abstract
PURPOSE This study aims to develop and evaluate a robust conductivity imaging method that combines total variation and wavelet regularization to enhance the accuracy of conductivity maps. THEORY AND METHODS The proposed approach is based on a gradient-based method. The central equation is derived from Maxwell's equation and describes the relationship between conductivity and the transceive phase. A linear system equation is obtained via a finite-difference method and solved using a least-squares method. Total variation and wavelet transform regularization terms are added to the minimization problem and solved using the Split Bregman method to improve reconstruction stability. The proposed approach is compared with conventional and gradient-based methods. Numerical simulations are performed to validate the accuracy of the developed method, and the effects of noise are determined. Phantom and in vivo experiments are conducted at 3 T to verify the clinical applicability of the proposed method. RESULTS Numerical simulations show that the proposed method is more robust than other methods and can suppress the effects of noise. The quantitative conductivity value of the phantom experiment agrees with the measured value. The in vivo experiment results present a clear structure, and the conductivity value of the tumor region is significantly higher than that around healthy tissues. CONCLUSION The proposed electrical conductivity imaging method can improve the quality of conductivity reconstruction, and thus, has future clinical applications.
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Affiliation(s)
- Xiangdong Sun
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Lijun Lu
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Li Qi
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Yingjie Mei
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Xiaoyun Liu
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Wufan Chen
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
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Mei H, Huang Z, Xu B, Xiao Z, Mei Y, Zhang H, Zhang S, Li D, Kang W, Sun DF. NiSe 2/Ni(OH) 2 Heterojunction Composite through Epitaxial-like Strategy as High-Rate Battery-Type Electrode Material. Nanomicro Lett 2020; 12:61. [PMID: 34138289 PMCID: PMC7770911 DOI: 10.1007/s40820-020-0392-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 01/12/2020] [Indexed: 05/27/2023]
Abstract
Constructing heterojunction is a promising way to improve the charge transfer efficiency and can thus promote the electrochemical properties. Herein, a facile and effective epitaxial-like growth strategy is applied to NiSe2 nano-octahedra to fabricate the NiSe2-(100)/Ni(OH)2-(110) heterojunction. The heterojunction composite and Ni(OH)2 (performing high electrochemical activity) is ideal high-rate battery-type supercapacitor electrode. The NiSe2/Ni(OH)2 electrode exhibits a high specific capacity of 909 C g-1 at 1 A g-1 and 597 C g-1 at 20 A g-1. The assembled asymmetric supercapacitor composed of the NiSe2/Ni(OH)2 cathode and p-phenylenediamine-functional reduced graphene oxide anode achieves an ultrahigh specific capacity of 303 C g-1 at 1 A g-1 and a superior energy density of 76.1 Wh kg-1 at 906 W kg-1, as well as an outstanding cycling stability of 82% retention for 8000 cycles at 10 A g-1. To the best of our knowledge, this is the first example of NiSe2/Ni(OH)2 heterojunction exhibiting such remarkable supercapacitor performance. This work not only provides a promising candidate for next-generation energy storage device but also offers a possible universal strategy to fabricate metal selenides/metal hydroxides heterojunctions.
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Affiliation(s)
- Hao Mei
- College of Science, China University of Petroleum (East China), Qingdao, 266580, Shandong, People's Republic of China
| | - Zhaodi Huang
- College of Science, China University of Petroleum (East China), Qingdao, 266580, Shandong, People's Republic of China
| | - Ben Xu
- College of Science, China University of Petroleum (East China), Qingdao, 266580, Shandong, People's Republic of China.
- School of Material Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, Shandong, People's Republic of China.
- Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, 350002, People's Republic of China.
| | - Zhenyu Xiao
- Key Laboratory of Eco-chemical Engineering, Ministry of Education Laboratory of Inorganic Synthesis and Applied Chemistry, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266402, Shandong, People's Republic of China
| | - Yingjie Mei
- School of Material Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, Shandong, People's Republic of China
| | - Haobing Zhang
- College of Science, China University of Petroleum (East China), Qingdao, 266580, Shandong, People's Republic of China
| | - Shiyu Zhang
- College of Science, China University of Petroleum (East China), Qingdao, 266580, Shandong, People's Republic of China
| | - Dacheng Li
- Shandong Provincial Key Laboratory of Chemical Energy Storage and Novel Cell Technology, School of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252059, Shandong, People's Republic of China
| | - Wenpei Kang
- College of Science, China University of Petroleum (East China), Qingdao, 266580, Shandong, People's Republic of China
| | - Dao Feng Sun
- College of Science, China University of Petroleum (East China), Qingdao, 266580, Shandong, People's Republic of China.
- School of Material Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, Shandong, People's Republic of China.
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Zhang H, Xu B, Mei H, Mei Y, Zhang S, Yang Z, Xiao Z, Kang W, Sun D. "HOT" Alkaline Hydrolysis of Amorphous MOF Microspheres to Produce Ultrastable Bimetal Hydroxide Electrode with Boosted Cycling Stability. Small 2019; 15:e1904663. [PMID: 31631530 DOI: 10.1002/smll.201904663] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 09/28/2019] [Indexed: 06/10/2023]
Abstract
Nickel/cobalt hydroxide is a promising battery-type electrode material for supercapacitors. However, its low cycle stability hinders further applications. Herein, Ni0.7 Co0.3 (OH)2 core-shell microspheres exhibiting extreme-prolonged cycling life are successfully synthesized, employing Ni-Co-metal-organic framework (MOF) as the precursor/template and a specific hydrolysis strategy. The Ni-Co-MOF and KOH aqueous solution are separated and heated to 120 °C before mixing, rather than mixing before heating. Through this hydrolysis strategy, no MOF residual exists in the product, contributing to close stacking of the hydroxide nanoflakes to generate Ni0.7 Co0.3 (OH)2 microspheres with a robust core-shell structure. The electrode material exhibits high specific capacity (945 C g-1 at 0.5 A g-1 ) and unprecedented cycling performance (100% after 10 000 cycles). The fabricated asymmetric supercapacitor delivers an energy density of 40.14 Wh kg-1 at a power density of 400.56 W kg-1 and excellent cycling stability (100% after 20 000 cycles). As far as is known, it is the best cycling performance for pure Ni/Co(OH)2 .
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Affiliation(s)
- Haobing Zhang
- School of Material Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, P. R. China
| | - Ben Xu
- School of Material Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, P. R. China
| | - Hao Mei
- School of Material Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, P. R. China
| | - Yingjie Mei
- School of Material Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, P. R. China
| | - Shiyu Zhang
- College of Science, China University of Petroleum (East China), Qingdao, Shandong, 266580, P. R. China
| | - Zhendong Yang
- College of Science, China University of Petroleum (East China), Qingdao, Shandong, 266580, P. R. China
| | - Zhenyu Xiao
- Key Laboratory of Eco-chemical Engineering, Ministry of Education Laboratory of Inorganic Synthesis and Applied Chemistry, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao, 266402, P. R. China
| | - Wenpei Kang
- School of Material Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, P. R. China
- College of Science, China University of Petroleum (East China), Qingdao, Shandong, 266580, P. R. China
| | - Daofeng Sun
- School of Material Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, P. R. China
- College of Science, China University of Petroleum (East China), Qingdao, Shandong, 266580, P. R. China
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Guo L, Liu X, Liu Z, Li X, Si Z, Qin J, Mei Y, Zhang Z, Xu Y, Wu Y. Differential detection of metastatic and inflammatory lymph nodes using intravoxel incoherent motion diffusion-weighted imaging. Magn Reson Imaging 2019; 65:62-66. [PMID: 31654737 DOI: 10.1016/j.mri.2019.10.005] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 09/08/2019] [Accepted: 10/08/2019] [Indexed: 12/23/2022]
Abstract
PURPOSE This study sought to monitor the dynamic process of lymph node (LN) metastasis with intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI), and to investigate the impact of disease course on the detection of metastatic LNs by IVIM-DWI. METHODS Twenty female New Zealand rabbits with 2.5-3.0 kg body weight were studied. VX2 cells and egg yolk emulsion were randomly inoculated into one thigh to induce metastatic and inflammatory popliteal LNs, respectively. Eight rabbits underwent IVIM-DWI (14 b values, 0-2000 s/mm2) 2 h prior to, and 14, 21, and 28 days after inoculation (D0, D14, D21, D28). The apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were measured and compared between the metastatic and the inflammatory groups at each time point. Three rabbits randomly chosen from the remaining twelve rabbits were sacrificed at each time point to perform hematoxylin and eosin staining and histologic evaluation. RESULTS The patterns of dynamic change of D*, ADC, and D were different between the metastatic and the inflammatory LNs. The metastatic group had a lower D* value at D14 (p = .003), and greater ADC and D values at both D21 (p = .001, p = .001) and D28 (p = .021, p = .001), compared to the inflammatory group. The f value of the metastatic group was greater than that of the inflammatory only at D28 (p = .001). CONCLUSIONS IVIM-DWI can reflect the dynamic process of LN metastasis, and disease course has a significant influence on the ability of IVIM-DWI to detect metastatic nodes.
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Affiliation(s)
- Liuji Guo
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Xiaomin Liu
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Zhi Liu
- Department of Sonography, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Xiaodan Li
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Zhiguang Si
- Department of Medical Imaging, People's Hospital of Dehong Prefecture, Dehong 678400, China
| | - Jie Qin
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yingjie Mei
- China International Center, Philips Healthcare, Guangzhou 510095, China
| | - Zhongping Zhang
- China International Center, Philips Healthcare, Guangzhou 510095, China
| | - Yikai Xu
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yuankui Wu
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
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Huang W, Liu J, Zhang B, Liang L, Luo X, Mei Y, Zhang S. Potential value of non-echo-planar diffusion-weighted imaging of the nasopharynx: a primary study for differential diagnosis between recurrent nasopharyngeal carcinoma and post-chemoradiation fibrosis. Acta Radiol 2019; 60:1265-1272. [PMID: 30661363 DOI: 10.1177/0284185118822635] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Wenhui Huang
- Department of Radiology, Guangdong General Hospital affiliated to South China University of Technology, Guangzhou, Guangdong, PR China
| | - Jing Liu
- Department of Radiology, Guangdong General Hospital affiliated to South China University of Technology, Guangzhou, Guangdong, PR China
- Department of Radiology, Guizhou Medical University Affiliated Hospital, Guizhou, PR China
| | - Bin Zhang
- Medical Imaging Center, the First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, PR China
| | - Long Liang
- Department of Radiology, Guangdong General Hospital affiliated to South China University of Technology, Guangzhou, Guangdong, PR China
| | - Xiaoning Luo
- Department of Radiology, Guangdong General Hospital affiliated to South China University of Technology, Guangzhou, Guangdong, PR China
| | | | - Shuixing Zhang
- Department of Radiology, Guangdong General Hospital affiliated to South China University of Technology, Guangzhou, Guangdong, PR China
- Medical Imaging Center, the First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, PR China
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Chen Y, Yu Q, La Tegola L, Mei Y, Chen J, Huang W, Zhang X, Guglielmi G. Intravoxel incoherent motion MR imaging for differentiating malignant lesions in spine: A pilot study. Eur J Radiol 2019; 120:108672. [PMID: 31550637 DOI: 10.1016/j.ejrad.2019.108672] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 08/22/2019] [Accepted: 09/14/2019] [Indexed: 10/26/2022]
Abstract
PURPOSE To determine the diagnostic potential of Intravoxel Incoherent Motion (IVIM) MRI for differentiating malignant spinal tumours from acute vertebral compression fractures and tuberculous spondylitis, and to compare IVIM with diffusion-weighted imaging (DWI) and chemical shift imaging (CSI). METHODS The Institutional Review Board approved this prospective study, and informed consent was obtained. IVIM MRI, DWI, and CSI at 1.5 T were performed in 25 patients with 12 acute compression fractures, 14 tuberculous spondylitis, and 18 malignant spinal tumours. The parameters of these techniques were assessed using the Kruskal-Wallis test. The diagnostic performance of the parameters was evaluated using receiver operating characteristic (ROC) analysis. RESULTS ADC, SIR, Dslow, Dfast, and f values of malignant tumours were significantly different from those of acute compression fracture (for all, p < 0.05). The mean Dslow and Dfast values of malignant spinal tumours had significant differences compared with those of tuberculous spondylitis (for all, p < 0.05). However, no significant differences were observed in any quantitative parameters between the acute compression fracture and the tuberculous spondylitis (p > 0.05). Dslow•f showed the highest AUC value of 0.980 (95%CI: 0.942-1.000) in differentiating acute compression fracture and malignant spinal tumours. Dslow showed the highest AUC value of 0.877 (95%CI: 0.713-0.966) in differentiating tuberculous spondylitis and malignant spinal tumours. CONCLUSIONS IVIM MR imaging may be helpful for differentiating malignant spinal tumours from acute vertebral compression fractures and tuberculous spondylitis.
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Affiliation(s)
- Yanjun Chen
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics. Guangdong Province), Guangzhou, China; Institute of Clinical Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Qinqin Yu
- Institute of Clinical Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Luciana La Tegola
- Università degli Studi di Foggia, Scuola di Specializzazione di Area Medica, Department of Radiology, Foggia, Italy
| | | | - Jialing Chen
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics. Guangdong Province), Guangzhou, China
| | - Wenhua Huang
- Institute of Clinical Anatomy, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Xiaodong Zhang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics. Guangdong Province), Guangzhou, China.
| | - Giuseppe Guglielmi
- Università degli Studi di Foggia, Scuola di Specializzazione di Area Medica, Department of Radiology, Foggia, Italy
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Duan X, Xu Y, Mei Y, Wu S, Ling Q, Qin G, Ma J, Chen C, Qi H, Zhou L. A Multiscale Contrast Enhancement for Mammogram Using Dynamic Unsharp Masking in Laplacian Pyramid. IEEE Trans Radiat Plasma Med Sci 2019. [DOI: 10.1109/trpms.2018.2876873] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Chen S, Liu X, Mei Y, Li C, Ren D, Zhong M, Xu Y. Early identification of neonatal mild hypoxic-ischemic encephalopathy by amide proton transfer magnetic resonance imaging: A pilot study. Eur J Radiol 2019; 119:108620. [PMID: 31422164 DOI: 10.1016/j.ejrad.2019.07.021] [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] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 07/13/2019] [Accepted: 07/16/2019] [Indexed: 11/18/2022]
Abstract
PURPOSE This study aimed to evaluate the amide proton transfer (APT) values in neonates with mild hypoxic-ischemic encephalopathy (HIE) using APT imaging. METHOD A total of 30 full-term neonates with mild HIE (16 males and 14 females; mean postnatal age 4.2 days, age range 2-7 days) and 12 normal neonates (six males and six females; mean postnatal age 3.3 days, age range 2-5 days) underwent conventional magnetic resonance imaging and APT imaging. APT measurements were performed in multiple regions of interest (ROIs) in the brain. APT values were statistically analyzed to assess for significant differences between the mild HIE and normal neonates in different regions of the brain, and correlation with neonatal gestational age. RESULTS In 30 neonates with mild HIE, 10% (3/30) of the HIE patients had normal conventional MRI. There were significant differences in APT values of the HIE group in bilateral caudate, bilateral thalamus, bilateral centrum semiovale and left globus pallidus/putamen (p < 0.05), and no statistical difference was observed in right globus pallidus/putamen (p = 0.051) and brainstem (p = 0.073) between the two groups. Furthermore, APT values in bilateral caudate, bilateral globus pallidus/putamen, bilateral thalamus, and brainstem regions (p < 0.05) exhibited positive linear correlations with gestational age in the control group, except for bilateral centrum semiovale (right: Pearson's r = 0.554, p = 0.062; left: Pearson's r = 0.561, p = 0.058). In the mild HIE groups, no significant correlation with gestational age was found in all regions. CONCLUSIONS APT imaging is a feasible and useful technique with diagnostic capability for neonatal HIE.
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Affiliation(s)
- Sijin Chen
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China; Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University Guangzhou 510515, China
| | - Xilong Liu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yingjie Mei
- Philips Healthcare, Guangzhou, Guangdong 510055, China
| | - Caixia Li
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Daokun Ren
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Mei Zhong
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University Guangzhou 510515, China
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
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Xiao Z, Mei Y, Yuan S, Mei H, Xu B, Bao Y, Fan L, Kang W, Dai F, Wang R, Wang L, Hu S, Sun D, Zhou HC. Controlled Hydrolysis of Metal-Organic Frameworks: Hierarchical Ni/Co-Layered Double Hydroxide Microspheres for High-Performance Supercapacitors. ACS Nano 2019; 13:7024-7030. [PMID: 31120727 DOI: 10.1021/acsnano.9b02106] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Pseudomorphic conversion of metal-organic frameworks (MOFs) enables the fabrication of nanomaterials with well-defined porosities and morphologies for enhanced performances. However, the commonly reported calcination strategy usually requires high temperature to pyrolyze MOF particles and often results in uncontrolled growth of nanomaterials. Herein, we report the controlled alkaline hydrolysis of MOFs to produce layered double hydroxide (LDH) while maintaining the porosity and morphology of MOF particles. The preformed trinuclear M3(μ3-OH) (M = Ni2+ and Co2+) clusters in MOFs were demonstrated to be critical for the pseudomorphic transformation process. An isotopic tracing experiment revealed that the 18O-labeled M3(μ3-18OH) participated in the structural assembly of LDH, which avoided the leaching of metal cations and the subsequent uncontrolled growth of hydroxides. The resulting LDHs maintain the spherical morphology of MOF templates and possess a hierarchical porous structure with high surface area (BET surface area up to 201 m2·g-1), which is suitable for supercapacitor applications. As supercapacitor electrodes, the optimized LDH with the Ni:Co molar ratio of 7:3 shows a high specific capacitance (1652 F·g-1 at 1 A·g-1) and decent cycling performance, retaining almost 100% after 2000 cycles. Furthermore, the hydrolysis method allows the recycling of organic ligands and large-scale synthesis of LDH materials.
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Affiliation(s)
- Zhenyu Xiao
- School of Materials Science and Engineering , China University of Petroleum (East China) , Qingdao Shandong 266580 , People's Republic of China
- Key Laboratory of Eco-chemical Engineering, Ministry of Education, Laboratory of Inorganic Synthesis and Applied Chemistry, College of Chemistry and Molecular Engineering , Qingdao University of Science and Technology , Qingdao 266042 , People's Republic of China
| | - Yingjie Mei
- School of Materials Science and Engineering , China University of Petroleum (East China) , Qingdao Shandong 266580 , People's Republic of China
| | - Shuai Yuan
- Department of Chemistry, Materials Science and Engineering , Texas A&M University , College Station , Texas 77842-3012 , United States
| | - Hao Mei
- School of Materials Science and Engineering , China University of Petroleum (East China) , Qingdao Shandong 266580 , People's Republic of China
| | - Ben Xu
- School of Materials Science and Engineering , China University of Petroleum (East China) , Qingdao Shandong 266580 , People's Republic of China
| | - Yuxiang Bao
- Key Laboratory of Eco-chemical Engineering, Ministry of Education, Laboratory of Inorganic Synthesis and Applied Chemistry, College of Chemistry and Molecular Engineering , Qingdao University of Science and Technology , Qingdao 266042 , People's Republic of China
| | - Lili Fan
- School of Materials Science and Engineering , China University of Petroleum (East China) , Qingdao Shandong 266580 , People's Republic of China
| | - Wenpei Kang
- School of Materials Science and Engineering , China University of Petroleum (East China) , Qingdao Shandong 266580 , People's Republic of China
| | - Fangna Dai
- School of Materials Science and Engineering , China University of Petroleum (East China) , Qingdao Shandong 266580 , People's Republic of China
| | - Rongmign Wang
- School of Materials Science and Engineering , China University of Petroleum (East China) , Qingdao Shandong 266580 , People's Republic of China
| | - Lei Wang
- Key Laboratory of Eco-chemical Engineering, Ministry of Education, Laboratory of Inorganic Synthesis and Applied Chemistry, College of Chemistry and Molecular Engineering , Qingdao University of Science and Technology , Qingdao 266042 , People's Republic of China
| | - Songqing Hu
- School of Materials Science and Engineering , China University of Petroleum (East China) , Qingdao Shandong 266580 , People's Republic of China
| | - Daofeng Sun
- School of Materials Science and Engineering , China University of Petroleum (East China) , Qingdao Shandong 266580 , People's Republic of China
| | - Hong-Cai Zhou
- Department of Chemistry, Materials Science and Engineering , Texas A&M University , College Station , Texas 77842-3012 , United States
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Zhang X, Guo Y, Chen Y, Mei Y, Chen J, Wang J, Feng Y, Zhang X. Reproducibility of quantitative susceptibility mapping in lumbar vertebra. Quant Imaging Med Surg 2019; 9:691-699. [PMID: 31143660 DOI: 10.21037/qims.2019.04.12] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Background To evaluate the reliability and reproducibility of quantitative susceptibility mapping (QSM) in the lumbar vertebra. Methods From May 2017 to September 2017, 61 subjects who underwent QSM MRI and quantitative computed tomography (QCT) were consecutively enrolled in this prospective study. QSM examination was performed two times with an interval of less than 1 week for each subject. For each data set, the QSM and QCT values on L1-L4 vertebral bodies were measured independently by two radiologists. The correlation coefficient between QSM and QCT values was calculated on L1-L4 vertebral bodies. The intraclass correlation coefficient (ICC) and Bland-Altman plots were used to evaluate the inter-observer reliability and the inter-scan reproducibility on QSM. Results A total of 61 subjects (mean age, 55.5±13.7 years) with 244 vertebral bodies were analyzed. Overall, QSM and QCT showed good correlation in the L1-L4 vertebral body, especially in the L3 (R=-0.75). QSM value showed excellent inter-observer reliability (ICC, 0.992, 95% CI: 0.985-0.996) with a mean difference of 0.35 and 95% limits of agreements of within -22.74 to 23.45 ppb, and very good inter-scan reproducibility (ICC, 0.932, 95% CI: 0.886-0.959) with a mean difference of -7.60 ppb and 95% limits of agreements of within of -92.85 to 77.62 ppb. Conclusions QSM in the lumbar vertebra is a reliable and reproducible technique for evaluating bone mineral density.
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Affiliation(s)
- Xintao Zhang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics·Guangdong Province), Guangzhou 510630, China
| | - Yihao Guo
- Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Yanjun Chen
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics·Guangdong Province), Guangzhou 510630, China
| | | | - Jialing Chen
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics·Guangdong Province), Guangzhou 510630, China
| | - Jian Wang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics·Guangdong Province), Guangzhou 510630, China
| | - Yanqiu Feng
- Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.,Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou 510515, China
| | - Xiaodong Zhang
- Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics·Guangdong Province), Guangzhou 510630, China
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Hu G, Liang W, Wu M, Lai C, Mei Y, Li Y, Xu J, Luo L, Quan X. Comparison of T1 Mapping and T1rho Values with Conventional Diffusion-weighted Imaging to Assess Fibrosis in a Rat Model of Unilateral Ureteral Obstruction. Acad Radiol 2019; 26:22-29. [PMID: 29705280 DOI: 10.1016/j.acra.2018.03.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 03/14/2018] [Accepted: 03/19/2018] [Indexed: 12/14/2022]
Abstract
RATIONALE AND OBJECTIVES The aim of this study was to investigate the potential of magnetic resonance imaging (MRI) T1 mapping and T1 relaxation time in the rotating frame (T1rho) for assessment of renal fibrosis in a rat model of unilateral ureteral obstruction (UUO). MATERIALS AND METHODS UUO was created in 36 rats. Six rats were scanned at each of the six time points (on days 0, 1, 3, 5, 10, and 15 after UUO). The contralateral kidneys were examined as controls. Hematoxylin-eosin, Masson's trichrome, and alpha-smooth muscle actin (α-SMA) antibody staining assays were performed. MRI data obtained with a 3.0T scanner were analyzed with α-SMA expression and Masson's staining. RESULTS The T1 relaxation times and T1rho values increased, and the mean apparent diffusion coefficient (ADC) values decreased with time after UUO. Simple regression analysis indicated that the mean ADCs, T1 relaxation times, and T1rho values had strong correlations with the α-SMA expression levels (R2 = 0.34, R2 = 0.66, R2 = 0.71, respectively; P< .001) and positive Masson's staining (R2 = 0.38, R2 = 0.67, R2 = 0.65, respectively; P< .001). CONCLUSIONS The T1 mapping and T1rho parameters had better correlations with α-SMA expression and Masson's staining than ADC values.
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Wu C, Xie D, Mei Y, Xiu Z, Poduska KM, Li D, Xu B, Sun D. Unveiling the thermolysis natures of ZIF-8 and ZIF-67 by employing in situ structural characterization studies. Phys Chem Chem Phys 2019; 21:17571-17577. [DOI: 10.1039/c9cp02582k] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [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
ZIF-8 and ZIF-67 exhibit different thermolysis natures based on the in situ structural characterization techniques.
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Affiliation(s)
- Chunhui Wu
- College of Science
- China University of Petroleum (East China)
- Qingdao
- P. R. China
| | - Donggang Xie
- College of Science
- China University of Petroleum (East China)
- Qingdao
- P. R. China
| | - Yingjie Mei
- College of Material Science and Engineering
- China University of Petroleum (East China)
- Qingdao
- P. R. China
| | - Zhifeng Xiu
- College of Science
- China University of Petroleum (East China)
- Qingdao
- P. R. China
| | - Kristin M. Poduska
- Department of Physics and Physical Oceanography
- Memorial University of Newfoundland
- St. John's
- Canada
| | - Dacheng Li
- Shandong Provincial Key Laboratory of Chemical Energy Storage and Novel Cell Technology
- School of Chemistry and Chemical Engineering
- Liaocheng University
- Liaocheng
- P. R. China
| | - Ben Xu
- College of Science
- China University of Petroleum (East China)
- Qingdao
- P. R. China
- College of Material Science and Engineering
| | - Daofeng Sun
- College of Science
- China University of Petroleum (East China)
- Qingdao
- P. R. China
- College of Material Science and Engineering
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Cheng J, Guan J, Mei Y, Xu L, Liu X, Feng Q, Chen W, Feng Y. A novel phase-unwrapping method by using phase-jump detection and local surface fitting: application to Dixon water-fat MRI. Magn Reson Med 2018; 80:2630-2640. [DOI: 10.1002/mrm.27212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 03/14/2018] [Accepted: 03/16/2018] [Indexed: 11/11/2022]
Affiliation(s)
- Junying Cheng
- School of Automation Engineering; University of Electronic Science and Technology of China; Chengdu China
- Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering; Southern Medical University; Guangzhou China
| | - Jijing Guan
- Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering; Southern Medical University; Guangzhou China
| | - Yingjie Mei
- Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering; Southern Medical University; Guangzhou China
- Philips Healthcare; Guangzhou China
| | - Lin Xu
- Control Engineering College; Chengdu University of Information Technology; Chengdu China
| | - Xiaoyun Liu
- School of Automation Engineering; University of Electronic Science and Technology of China; Chengdu China
| | - Qianjin Feng
- Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering; Southern Medical University; Guangzhou China
| | - Wufan Chen
- School of Automation Engineering; University of Electronic Science and Technology of China; Chengdu China
- Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering; Southern Medical University; Guangzhou China
| | - Yanqiu Feng
- Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering; Southern Medical University; Guangzhou China
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Xu Z, Huang F, Wu Z, Mei Y, Jeong HK, Fang W, Chen Z, Wang Y, Dong Z, Guo H, Zhang X, Chen W, Feng Q, Feng Y. Technical Note: Clustering-based motion compensation scheme for multishot diffusion tensor imaging. Med Phys 2018; 45:5515-5524. [PMID: 30307624 DOI: 10.1002/mp.13232] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 09/26/2018] [Accepted: 09/28/2018] [Indexed: 12/25/2022] Open
Abstract
PURPOSE To extend image reconstruction using image-space sampling function (IRIS) to address large-scale motion in multishot diffusion-weighted imaging (DWI). METHODS A clustered IRIS (CIRIS) algorithm that would extend IRIS was proposed to correct for large-scale motion. For DWI, CIRIS initially groups the shots into clusters without intracluster large-scale motion and reconstructs each cluster by using IRIS. Then, CIRIS registers these cluster images and combines the registered images by using a weighted average to correct for voxel mismatch caused by intercluster large-scale motion. For diffusion tensor imaging (DTI), CIRIS further reduces the effect of motion on diffusion directions by treating motion-induced direction changes as additional diffusion directions. CIRIS also introduces the detection and rejection of motion-corrupted data to avoid corresponding image degradation. The proposed method was evaluated by simulation and in vivo diffusion datasets. RESULTS Experiments demonstrated that CIRIS can reduce motion-induced blurring and artifacts in DWI and provide more accurate DTI estimations in the presence of large-scale motion, compared with IRIS. CONCLUSION The proposed method presents a novel approach to correct for large-scale in-plane motion for multishot DWI and is expected to benefit the practical application of high-resolution diffusion imaging.
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Affiliation(s)
- Zhongbiao Xu
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.,Key Laboratory of Mental Health of the Ministry of Education, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China
| | - Feng Huang
- Neusoft Medical System, Shanghai, 200000, China
| | - Zhigang Wu
- Neusoft Medical System, Shanghai, 200000, China
| | - Yingjie Mei
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.,Key Laboratory of Mental Health of the Ministry of Education, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.,Philips Healthcare, Guangzhou, 510515, China
| | | | | | - Zhifeng Chen
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.,Key Laboratory of Mental Health of the Ministry of Education, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China
| | - Yishi Wang
- Department of Biomedical Engineering, Tsinghua University, Beijing, 100000, China
| | - Zijing Dong
- Department of Biomedical Engineering, Tsinghua University, Beijing, 100000, China
| | - Hua Guo
- Department of Biomedical Engineering, Tsinghua University, Beijing, 100000, China
| | - Xinyuan Zhang
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.,Key Laboratory of Mental Health of the Ministry of Education, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China
| | - Wufan Chen
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.,Key Laboratory of Mental Health of the Ministry of Education, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China
| | - Qianjin Feng
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.,Key Laboratory of Mental Health of the Ministry of Education, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China
| | - Yanqiu Feng
- School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, 510515, China.,Key Laboratory of Mental Health of the Ministry of Education, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China
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Hu G, Yang Z, Liang W, Lai C, Mei Y, Li Y, Xu J, Luo L, Quan X. Intravoxel Incoherent Motion and Arterial Spin Labeling MRI Analysis of Reversible Unilateral Ureteral Obstruction in Rats. J Magn Reson Imaging 2018; 50:288-296. [PMID: 30328247 DOI: 10.1002/jmri.26536] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [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: 07/23/2018] [Revised: 09/20/2018] [Accepted: 09/20/2018] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Renal fibrosis is a common consequence of chronic kidney disease (CKD) and is the mechanism by which various forms of CKD progress to endstage renal failure. Accurate assessment of renal fibrosis is important for treatment. PURPOSE To measure longitudinal changes of intravoxel incoherent motion (IVIM) and arterial spin labeling (ASL) before and after reversible unilateral ureteral obstruction in an animal model. STUDY TYPE Self-controlled animal study. ANIMAL MODEL Surgical obstruction of the ureters was performed and then removed after 5 days. Rats were scanned on Days 0, 1, 3, and 5 after creating the obstruction and on Days 4, 7, and 12 after releasing the obstruction. FIELD STRENGTH/SEQUENCE 3.0T/IVIM/ASL. ASSESSMENT The apparent diffusion coefficient (ADC), pure molecular diffusion (D), perfusion fraction (f), pseudodiffusion (D*), and renal blood flow (RBF) obtained from the ASL were measured. STATISTICAL TESTS Using SPSS v. 20.0 software, P < 0.05 were considered statistically significant. The data from each timepoint were compared using one-way analysis of variance and correlation analysis was applied to various parameters. RESULTS The postobstruction kidneys showed renal tubule swelling and increased collagen fiber content. Renal tubule swelling was relieved after reversing the obstruction, but Masson staining and cell density analysis revealed progressive changes that were primarily localized to the medulla. In general, ADC, D, f, D*, and RBF decreased with time during the 5 days of obstruction, and increased after release of the obstruction. ADC positively correlated with D, f, D*, and RBF (r = 0.415, r = 0.634, r = 0.465 r = 0.586, P < 0.001, respectively) in the cortex in this study. Also, ADC showed a positive correlation with D, f, and D* (r = 0.724, r = 0.749, r = 0.151, P < 0.001, respectively) in the medulla. DATA CONCLUSION Kidney perfusion was the major factor affecting ADC. Functional imaging may be useful for following progression of CKD. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:288-296.
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Affiliation(s)
- Genwen Hu
- Department of Radiology, Shenzhen People's Hospital (Second Clinical Medical College of Jinan University), Shenzhen, P.R. China
| | - Zhong Yang
- Department of Radiology, Shenzhen People's Hospital (Second Clinical Medical College of Jinan University), Shenzhen, P.R. China
| | - Wen Liang
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, P.R. China
| | - Caiyong Lai
- Department of Urology, First Affiliated Hospital of Jinan University, Guangzhou, P.R. China
| | - Yingjie Mei
- MR Clinical Science, Philips Healthcare, GuangZhou, P.R. China
| | - Yufa Li
- Department of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P.R. China
| | - Jianmin Xu
- Department of Radiology, Shenzhen People's Hospital (Second Clinical Medical College of Jinan University), Shenzhen, P.R. China
| | - Liangping Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, P.R. China
| | - Xianyue Quan
- Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, P.R. China
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50
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Guo Y, Chen Y, Zhang X, Mei Y, Yi P, Wang Y, Feng Q, Tegola LL, Guglielmi G, Zhang X, Feng Y. Magnetic Susceptibility and Fat Content in the Lumbar Spine of Postmenopausal Women With Varying Bone Mineral Density. J Magn Reson Imaging 2018; 49:1020-1028. [DOI: 10.1002/jmri.26279] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 07/16/2018] [Accepted: 07/17/2018] [Indexed: 12/24/2022] Open
Affiliation(s)
- Yihao Guo
- Guangdong Provincial Key Laboratory of Medical Image ProcessingSchool of Biomedical Engineering, Southern Medical University Guangzhou P.R. China
- Department of RadiologyWeill Medical College of Cornell University New York New York USA
| | - Yanjun Chen
- Department of Medical ImagingThird Affiliated Hospital, Southern Medical University Guangzhou P.R. China
| | - Xintao Zhang
- Department of Medical ImagingThird Affiliated Hospital, Southern Medical University Guangzhou P.R. China
| | | | - Peiwei Yi
- Guangdong Provincial Key Laboratory of Medical Image ProcessingSchool of Biomedical Engineering, Southern Medical University Guangzhou P.R. China
| | - Yi Wang
- Department of RadiologyWeill Medical College of Cornell University New York New York USA
- Department of Biomedical EngineeringCornell University Ithaca New York USA
| | - Qianjin Feng
- Guangdong Provincial Key Laboratory of Medical Image ProcessingSchool of Biomedical Engineering, Southern Medical University Guangzhou P.R. China
| | - Luciana La Tegola
- Università degli Studi di Foggia, Scuola di Specializzazione di Area MedicaDepartment of Radiology Foggia Italy
| | - Giuseppe Guglielmi
- Università degli Studi di Foggia, Scuola di Specializzazione di Area MedicaDepartment of Radiology Foggia Italy
- Department of RadiologyScientific Institute “Casa Sollievo della Sofferenza” Hospital San Giovanni Rotondo Foggia Italy
| | - Xiaodong Zhang
- Department of Medical ImagingThird Affiliated Hospital, Southern Medical University Guangzhou P.R. China
| | - Yanqiu Feng
- Guangdong Provincial Key Laboratory of Medical Image ProcessingSchool of Biomedical Engineering, Southern Medical University Guangzhou P.R. China
- Key Laboratory of Mental Health of the Ministry of EducationSouthern Medical University Guangzhou P.R. China
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