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Xue FS, Gao X, Wan L. Comparing performance of flexible bronchoscopy with videolaryngoscopy for awake tracheal intubation. Anaesthesia 2024; 79:327. [PMID: 37720961 DOI: 10.1111/anae.16133] [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] [Accepted: 09/01/2023] [Indexed: 09/19/2023]
Affiliation(s)
- F S Xue
- Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
| | - X Gao
- Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
| | - L Wan
- Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
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Li W, Huang Z, Chen Z, Jiang Y, Zhou C, Zhang X, Fan W, Zhao Y, Zhang L, Wan L, Yang Y, Zheng H, Liang D, Hu Z. Learning CT-free attenuation-corrected total-body PET images through deep learning. Eur Radiol 2024:10.1007/s00330-024-10647-1. [PMID: 38355987 DOI: 10.1007/s00330-024-10647-1] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 11/30/2023] [Accepted: 01/08/2024] [Indexed: 02/16/2024]
Abstract
OBJECTIVES Total-body PET/CT scanners with long axial fields of view have enabled unprecedented image quality and quantitative accuracy. However, the ionizing radiation from CT is a major issue in PET imaging, which is more evident with reduced radiopharmaceutical doses in total-body PET/CT. Therefore, we attempted to generate CT-free attenuation-corrected (CTF-AC) total-body PET images through deep learning. METHODS Based on total-body PET data from 122 subjects (29 females and 93 males), a well-established cycle-consistent generative adversarial network (Cycle-GAN) was employed to generate CTF-AC total-body PET images directly while introducing site structures as prior information. Statistical analyses, including Pearson correlation coefficient (PCC) and t-tests, were utilized for the correlation measurements. RESULTS The generated CTF-AC total-body PET images closely resembled real AC PET images, showing reduced noise and good contrast in different tissue structures. The obtained peak signal-to-noise ratio and structural similarity index measure values were 36.92 ± 5.49 dB (p < 0.01) and 0.980 ± 0.041 (p < 0.01), respectively. Furthermore, the standardized uptake value (SUV) distribution was consistent with that of real AC PET images. CONCLUSION Our approach could directly generate CTF-AC total-body PET images, greatly reducing the radiation risk to patients from redundant anatomical examinations. Moreover, the model was validated based on a multidose-level NAC-AC PET dataset, demonstrating the potential of our method for low-dose PET attenuation correction. In future work, we will attempt to validate the proposed method with total-body PET/CT systems in more clinical practices. CLINICAL RELEVANCE STATEMENT The ionizing radiation from CT is a major issue in PET imaging, which is more evident with reduced radiopharmaceutical doses in total-body PET/CT. Our CT-free PET attenuation correction method would be beneficial for a wide range of patient populations, especially for pediatric examinations and patients who need multiple scans or who require long-term follow-up. KEY POINTS • CT is the main source of radiation in PET/CT imaging, especially for total-body PET/CT devices, and reduced radiopharmaceutical doses make the radiation burden from CT more obvious. • The CT-free PET attenuation correction method would be beneficial for patients who need multiple scans or long-term follow-up by reducing additional radiation from redundant anatomical examinations. • The proposed method could directly generate CT-free attenuation-corrected (CTF-AC) total-body PET images, which is beneficial for PET/MRI or PET-only devices lacking CT image poses.
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Affiliation(s)
- Wenbo Li
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Zhenxing Huang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Zixiang Chen
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Yongluo Jiang
- Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Chao Zhou
- Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Xu Zhang
- Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Wei Fan
- Department of Nuclear Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yumo Zhao
- Central Research Institute, United Imaging Healthcare Group, Shanghai, 201807, China
| | - Lulu Zhang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Liwen Wan
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yongfeng Yang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Hairong Zheng
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Dong Liang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Zhanli Hu
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, Shenzhen, 518055, China.
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Liu D, Wan L, Peng C, Cen RX, Xu F. [Expressions of NLRP3, Caspase-1, and GSDMD in nasopharyngeal carcinoma tissue and association with recurrence and metastasis]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:1215-1224. [PMID: 38186096 DOI: 10.3760/cma.j.cn115330-20231010-00134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Objective: To investigate the expressions of Nod-like receptor protein 3 (NLRP3), cysteine-aspartic acid protease 1 (Caspase-1), and Gasdermin D (GSDMD) in nasopharyngeal carcinoma (NPC), and their relationships with the recurrence and metastasis of NPC. Methods: A retrospective study was conducted on 421 patients diagnosed with NPC between December 2014 and January 2020. The expressions of NLRP3, Caspase-1, and GSDMD in pathological specimens were examined with immunohistochemistry and multiplex immunofluorescence staining. Univariate and multivariate Cox regression analyses were applied to identify the factors influencing NPC recurrence and metastasis. In vitro experiments with NPC cell line HNE-2 were used to explore the functional mechanisms of NLRP3, Caspase-1, and GSDMD. Results: Multivariate Cox analysis revealed that tumor staging of Ⅲ-Ⅳ(HRrecurrence=2.74, 95%CIrecurrence: 1.61-4.65; HRmetastasis=1.90, 95%CImetastasis: 1.04-3.49) and pre-treatment plasma EBV-DNA levels≥1 500 copies/ml (HRrecurrence=1.91, 95%CIrecurrence: 1.13-3.23; HRmetastasis=2.07, 95%CImetastasis: 1.23-3.50)were independent risk factors for NPC recurrence and metastasis, while positive expression of NLRP3(HRrecurrence=0.17, 95%CIrecurrence: 0.08-0.35; HRmetastasis=0.30, 95%CImetastasis: 0.15-0.59), Caspase-1(HRrecurrence=0.32, 95%CIrecurrence: 0.18-0.59; HRmetastasis=0.43, 95%CImetastasis: 0.25-0.76), and GSDMD(HRrecurrence=0.48, 95%CIrecurrence: 0.25-0.91; HRmetastasis=0.96, 95%CImetastasis: 0.53-1.74) served as independent protective factors. Age (HR=1.02, 95%CI: 1.01-1.04) and intensity-modulated radiotherapy (HR=0.51, 95%CI: 0.30-0.88) were independent factors for NPC recurrence, whereas chemotherapy (HR=0.50, 95%CI: 0.29-0.88) acted as an independent protective factor for NPC metastasis (all P<0.05). NPC patients with positive expressions of the three proteins had higher locoregional recurrence-free survival, distant metastasis-free survival, and overall survival compared to those with negative expressions (all P<0.05). In vitro experiments revealed that the overexpression of NLRP3 activated the NLRP3/Caspase-1/GSDMD signaling pathway, as evidenced by Western Blot analysis. Enzyme-linked immunosorbent assay and scanning electron microscopy demonstrated that overexpression of NLRP3 promoted pyroptosis in HNE-2 cells. Cellular functional assays further confirmed that overexpression of NLRP3 significantly inhibited the proliferation, invasion, and migration of HNE-2 cells. Conclusion: Positive expressions of NLRP3, Caspase-1, and GSDMD serves as independent protective factors for recurrence and metastasis of NPC, potentially by promoting cell pyroptosis and thus inhibiting NPC cell proliferation, invasion, and migration.
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Affiliation(s)
- D Liu
- Department of Otorhinolaryngology,Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi 435000, China
| | - L Wan
- Department of Otorhinolaryngology,Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi 435000, China
| | - C Peng
- Department of Otorhinolaryngology, Guizhou Provincial People's Hospital, Guiyang 550002, China
| | - R X Cen
- Department of Otorhinolaryngology,Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi 435000, China
| | - F Xu
- Department of Otorhinolaryngology,Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi 435000, China
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Wan L, Zheng Q. Psychological effects of COVID-19 outbreak on mental health in parents of children with hematopathy. Eur Rev Med Pharmacol Sci 2023; 27:11780-11785. [PMID: 38164841 DOI: 10.26355/eurrev_202312_34776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
OBJECTIVE We explored whether parents of children with hematopathy had more psychosocial problems than parents of healthy children during the COVID-19 outbreak. SUBJECTS AND METHODS An online survey was performed, and a total of 1,116 parents participated. The mental health variables were assessed via the Simplified Coping Style Questionnaire (SCSQ) and the Symptom Checklist-Revised (SCL-90-R). RESULTS Compared with parents of healthy children, parents of children with hematopathy have a higher possibility of negative coping style (70.9% vs. 33.2%, p=0.01) and are more concerned with media reports related to the pandemic (37.8% vs. 17.6%, p=0.02). In SCL-90-R somatization, obsessive-compulsive, and anxiety scale, the parents of children with hematopathy have higher scores than parents of healthy children (12.50±1.69 vs. 12.23±1.37, p<0.01; 13.42±6.69 vs. 10.47±2.25, p<0.01; 15.21±5.53 vs. 10.52±2.34, p<0.01, respectively). History of visiting Wuhan, and history of epidemics occurring in the community are independent risk factors of parental obsessive-compulsive and anxiety symptoms (p<0.01). CONCLUSIONS Parents of children with hematopathy had evident severe symptoms of obsessive-compulsive and anxiety during the outbreak of COVID-19. Providing psychological interventions and beneficial approaches to parents of children with hematopathy urgently needs to be realized.
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Affiliation(s)
- L Wan
- School of Criminal Law, East China University of Political Science and Law, Shanghai, China.
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Mo Z, Zhang X, Liang H, Chen Q, Tie C, Xiao W, Cao Q, Liu C, Zou C, Wan L, Zhang X, Li Y. A Novel Three-Channel Endorectal Coil for Prostate Magnetic Resonance Imaging at 3T. IEEE Trans Biomed Eng 2023; 70:3381-3388. [PMID: 37318962 DOI: 10.1109/tbme.2023.3286488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
OBJECTIVE The purpose of this work is to develop a 3-channel endorectal coil (ERC-3C) structure to obtain higher signal-to-noise (SNR) and better parallel imaging performance for prostate magnetic resonance imaging (MRI) at 3T. METHODS The coil performance was validated by in vivo studies and the SNR, g-factor, and diffusion-weighted imaging (DWI) were compared. A 2-channel endorectal coil (ERC-2C) with two orthogonal loops and a 12-channel external surface coil were employed for comparison. RESULTS Compared with the ERC-2C with a quadrature configuration and the external 12-channel coil array, the proposed ERC-3C improved SNR performance by 23.9% and 428.9%, respectively. The improved SNR enables the ERC-3C to produce spatial high-resolution images of 0.24 mm × 0.24 mm × 2 mm (0.1152 μL) in the prostate area within 9 minutes. CONCLUSION We developed an ERC-3C and validated its performance through in vivo MR imaging experiments. SIGNIFICANCE The results demonstrated the feasibility of an ERC with more than two channels and that a higher SNR can be achieved using the ERC-3C compared with an orthogonal ERC-2C of the same coverage.
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Liang G, Zhou J, Chen Z, Wan L, Wumener X, Zhang Y, Liang D, Liang Y, Hu Z. Combining deep learning with a kinetic model to predict dynamic PET images and generate parametric images. EJNMMI Phys 2023; 10:67. [PMID: 37874426 PMCID: PMC10597982 DOI: 10.1186/s40658-023-00579-y] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 09/15/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Dynamic positron emission tomography (PET) images are useful in clinical practice because they can be used to calculate the metabolic parameters (Ki) of tissues using graphical methods (such as Patlak plots). Ki is more stable than the standard uptake value and has a good reference value for clinical diagnosis. However, the long scanning time required for obtaining dynamic PET images, usually an hour, makes this method less useful in some ways. There is a tradeoff between the scan durations and the signal-to-noise ratios (SNRs) of Ki images. The purpose of our study is to obtain approximately the same image as that produced by scanning for one hour in just half an hour, improving the SNRs of images obtained by scanning for 30 min and reducing the necessary 1-h scanning time for acquiring dynamic PET images. METHODS In this paper, we use U-Net as a feature extractor to obtain feature vectors with a priori knowledge about the image structure of interest and then utilize a parameter generator to obtain five parameters for a two-tissue, three-compartment model and generate a time activity curve (TAC), which will become close to the original 1-h TAC through training. The above-generated dynamic PET image finally obtains the Ki parameter image. RESULTS A quantitative analysis showed that the network-generated Ki parameter maps improved the structural similarity index measure and peak SNR by averages of 2.27% and 7.04%, respectively, and decreased the root mean square error (RMSE) by 16.3% compared to those generated with a scan time of 30 min. CONCLUSIONS The proposed method is feasible, and satisfactory PET quantification accuracy can be achieved using the proposed deep learning method. Further clinical validation is needed before implementing this approach in routine clinical applications.
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Affiliation(s)
- Ganglin Liang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Beijing, China
| | - Jinpeng Zhou
- Department of Nuclear Medicine, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Zixiang Chen
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Liwen Wan
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Xieraili Wumener
- Department of Nuclear Medicine, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Yarong Zhang
- Department of Nuclear Medicine, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Dong Liang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Ying Liang
- Department of Nuclear Medicine, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China.
| | - Zhanli Hu
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
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Abe K, Hayato Y, Hiraide K, Ieki K, Ikeda M, Kameda J, Kanemura Y, Kaneshima R, Kashiwagi Y, Kataoka Y, Miki S, Mine S, Miura M, Moriyama S, Nakano Y, Nakahata M, Nakayama S, Noguchi Y, Okamoto K, Sato K, Sekiya H, Shiba H, Shimizu K, Shiozawa M, Sonoda Y, Suzuki Y, Takeda A, Takemoto Y, Takenaka A, Tanaka H, Watanabe S, Yano T, Han S, Kajita T, Okumura K, Tashiro T, Tomiya T, Wang X, Xia J, Yoshida S, Megias GD, Fernandez P, Labarga L, Ospina N, Zaldivar B, Pointon BW, Kearns E, Raaf JL, Wan L, Wester T, Bian J, Griskevich NJ, Kropp WR, Locke S, Smy MB, Sobel HW, Takhistov V, Yankelevich A, Hill J, Park RG, Bodur B, Scholberg K, Walter CW, Bernard L, Coffani A, Drapier O, El Hedri S, Giampaolo A, Mueller TA, Santos AD, Paganini P, Quilain B, Ishizuka T, Nakamura T, Jang JS, Learned JG, Choi K, Cao S, Anthony LHV, Martin D, Scott M, Sztuc AA, Uchida Y, Berardi V, Catanesi MG, Radicioni E, Calabria NF, Machado LN, De Rosa G, Collazuol G, Iacob F, Lamoureux M, Mattiazzi M, Ludovici L, Gonin M, Pronost G, Fujisawa C, Maekawa Y, Nishimura Y, Friend M, Hasegawa T, Ishida T, Kobayashi T, Jakkapu M, Matsubara T, Nakadaira T, Nakamura K, Oyama Y, Sakashita K, Sekiguchi T, Tsukamoto T, Boschi T, Di Lodovico F, Gao J, Goldsack A, Katori T, Migenda J, Taani M, Zsoldos S, Kotsar Y, Ozaki H, Suzuki AT, Takeuchi Y, Bronner C, Feng J, Kikawa T, Mori M, Nakaya T, Wendell RA, Yasutome K, Jenkins SJ, McCauley N, Mehta P, Tsui KM, Fukuda Y, Itow Y, Menjo H, Ninomiya K, Lagoda J, Lakshmi SM, Mandal M, Mijakowski P, Prabhu YS, Zalipska J, Jia M, Jiang J, Jung CK, Wilking MJ, Yanagisawa C, Harada M, Ishino H, Ito S, Kitagawa H, Koshio Y, Nakanishi F, Sakai S, Barr G, Barrow D, Cook L, Samani S, Wark D, Nova F, Yang JY, Malek M, McElwee JM, Stone O, Thiesse MD, Thompson LF, Okazawa H, Kim SB, Seo JW, Yu I, Ichikawa AK, Nakamura KD, Tairafune S, Nishijima K, Iwamoto K, Nakagiri K, Nakajima Y, Taniuchi N, Yokoyama M, Martens K, de Perio P, Vagins MR, Kuze M, Izumiyama S, Inomoto M, Ishitsuka M, Ito H, Kinoshita T, Matsumoto R, Ommura Y, Shigeta N, Shinoki M, Suganuma T, Yamauchi K, Martin JF, Tanaka HA, Towstego T, Akutsu R, Gousy-Leblanc V, Hartz M, Konaka A, Prouse NW, Chen S, Xu BD, Zhang B, Posiadala-Zezula M, Hadley D, Nicholson M, O'Flaherty M, Richards B, Ali A, Jamieson B, Marti L, Minamino A, Pintaudi G, Sano S, Suzuki S, Wada K. Erratum: Search for Cosmic-Ray Boosted Sub-GeV Dark Matter Using Recoil Protons at Super-Kamiokande [Phys. Rev. Lett. 130, 031802 (2023)]. Phys Rev Lett 2023; 131:159903. [PMID: 37897794 DOI: 10.1103/physrevlett.131.159903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Indexed: 10/30/2023]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.130.031802.
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Abe K, Akhlaq N, Akutsu R, Ali A, Alonso Monsalve S, Alt C, Andreopoulos C, Antonova M, Aoki S, Arihara T, Asada Y, Ashida Y, Atkin ET, Barbi M, Barker GJ, Barr G, Barrow D, Batkiewicz-Kwasniak M, Bench F, Berardi V, Berns L, Bhadra S, Blanchet A, Blondel A, Bolognesi S, Bonus T, Bordoni S, Boyd SB, Bravar A, Bronner C, Bron S, Bubak A, Buizza Avanzini M, Caballero JA, Calabria NF, Cao S, Carabadjac D, Carter AJ, Cartwright SL, Catanesi MG, Cervera A, Chakrani J, Cherdack D, Chong PS, Christodoulou G, Chvirova A, Cicerchia M, Coleman J, Collazuol G, Cook L, Cudd A, Dalmazzone C, Daret T, Davydov YI, De Roeck A, De Rosa G, Dealtry T, Delogu CC, Densham C, Dergacheva A, Di Lodovico F, Dolan S, Douqa D, Doyle TA, Drapier O, Dumarchez J, Dunne P, Dygnarowicz K, Eguchi A, Emery-Schrenk S, Erofeev G, Ershova A, Eurin G, Fedorova D, Fedotov S, Feltre M, Finch AJ, Fiorentini Aguirre GA, Fiorillo G, Fitton MD, Franco Patiño JM, Friend M, Fujii Y, Fukuda Y, Fusshoeller K, Giannessi L, Giganti C, Glagolev V, Gonin M, González Rosa J, Goodman EAG, Gorin A, Grassi M, Guigue M, Hadley DR, Haigh JT, Hamacher-Baumann P, Harris DA, Hartz M, Hasegawa T, Hassani S, Hastings NC, Hayato Y, Henaff D, Hiramoto A, Hogan M, Holeczek J, Holin A, Holvey T, Hong Van NT, Honjo T, Iacob F, Ichikawa AK, Ikeda M, Ishida T, Ishitsuka M, Israel HT, Iwamoto K, Izmaylov A, Izumi N, Jakkapu M, Jamieson B, Jenkins SJ, Jesús-Valls C, Jiang JJ, Jonsson P, Joshi S, Jung CK, Jurj PB, Kabirnezhad M, Kaboth AC, Kajita T, Kakuno H, Kameda J, Kasetti SP, Kataoka Y, Katayama Y, Katori T, Kawaue M, Kearns E, Khabibullin M, Khotjantsev A, Kikawa T, Kikutani H, King S, Kiseeva V, Kisiel J, Kobata T, Kobayashi H, Kobayashi T, Koch L, Kodama S, Konaka A, Kormos LL, Koshio Y, Kostin A, Koto T, Kowalik K, Kudenko Y, Kudo Y, Kuribayashi S, Kurjata R, Kutter T, Kuze M, La Commara M, Labarga L, Lachner K, Lagoda J, Lakshmi SM, Lamers James M, Lamoureux M, Langella A, Laporte JF, Last D, Latham N, Laveder M, Lavitola L, Lawe M, Lee Y, Lin C, Lin SK, Litchfield RP, Liu SL, Li W, Longhin A, Long KR, Lopez Moreno A, Ludovici L, Lu X, Lux T, Machado LN, Magaletti L, Mahn K, Malek M, Mandal M, Manly S, Marino AD, Marti-Magro L, Martin DGR, Martini M, Martin JF, Maruyama T, Matsubara T, Matveev V, Mauger C, Mavrokoridis K, Mazzucato E, McCauley N, McElwee J, McFarland KS, McGrew C, McKean J, Mefodiev A, Megias GD, Mehta P, Mellet L, Metelko C, Mezzetto M, Miller E, Minamino A, Mineev O, Mine S, Miura M, Molina Bueno L, Moriyama S, Moriyama S, Morrison P, Mueller TA, Munford D, Munteanu L, Nagai K, Nagai Y, Nakadaira T, Nakagiri K, Nakahata M, Nakajima Y, Nakamura A, Nakamura H, Nakamura K, Nakamura KD, Nakano Y, Nakayama S, Nakaya T, Nakayoshi K, Naseby CER, Ngoc TV, Nguyen VQ, Niewczas K, Nishimori S, Nishimura Y, Nishizaki K, Nosek T, Nova F, Novella P, Nugent JC, O’Keeffe HM, O’Sullivan L, Odagawa T, Ogawa T, Okada R, Okinaga W, Okumura K, Okusawa T, Ospina N, Owen RA, Oyama Y, Palladino V, Paolone V, Pari M, Parlone J, Parsa S, Pasternak J, Pavin M, Payne D, Penn GC, Pershey D, Pickering L, Pidcott C, Pintaudi G, Pistillo C, Popov B, Porwit K, Posiadala-Zezula M, Prabhu YS, Pupilli F, Quilain B, Radermacher T, Radicioni E, Radics B, Ramírez MA, Ratoff PN, Reh M, Riccio C, Rondio E, Roth S, Roy N, Rubbia A, Ruggeri AC, Ruggles CA, Rychter A, Sakashita K, Sánchez F, Santucci G, Schloesser CM, Scholberg K, Scott M, Seiya Y, Sekiguchi T, Sekiya H, Sgalaberna D, Shaikhiev A, Shaker F, Shaykina A, Shiozawa M, Shorrock W, Shvartsman A, Skrobova N, Skwarczynski K, Smyczek D, Smy M, Sobczyk JT, Sobel H, Soler FJP, Sonoda Y, Speers AJ, Spina R, Suslov IA, Suvorov S, Suzuki A, Suzuki SY, Suzuki Y, Sztuc AA, Tada M, Tairafune S, Takayasu S, Takeda A, Takeuchi Y, Takifuji K, Tanaka HK, Tanihara Y, Tani M, Teklu A, Tereshchenko VV, Teshima N, Thamm N, Thompson LF, Toki W, Touramanis C, Towstego T, Tsui KM, Tsukamoto T, Tzanov M, Uchida Y, Vagins M, Vargas D, Varghese M, Vasseur G, Vilela C, Villa E, Vinning WGS, Virginet U, Vladisavljevic T, Wachala T, Walsh JG, Wang Y, Wan L, Wark D, Wascko MO, Weber A, Wendell R, Wilking MJ, Wilkinson C, Wilson JR, Wood K, Wret C, Xia J, Xu YH, Yamamoto K, Yamamoto T, Yanagisawa C, Yang G, Yano T, Yasutome K, Yershov N, Yevarouskaya U, Yokoyama M, Yoshimoto Y, Yoshimura N, Yu M, Zaki R, Zalewska A, Zalipska J, Zaremba K, Zarnecki G, Zhao X, Zhu T, Ziembicki M, Zimmerman ED, Zito M, Zsoldos S. Measurements of neutrino oscillation parameters from the T2K experiment using 3.6×1021 protons on target. Eur Phys J C Part Fields 2023; 83:782. [PMID: 37680254 PMCID: PMC10480298 DOI: 10.1140/epjc/s10052-023-11819-x] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 07/10/2023] [Indexed: 09/09/2023]
Abstract
The T2K experiment presents new measurements of neutrino oscillation parameters using 19.7 ( 16.3 ) × 10 20 protons on target (POT) in (anti-)neutrino mode at the far detector (FD). Compared to the previous analysis, an additional 4.7 × 10 20 POT neutrino data was collected at the FD. Significant improvements were made to the analysis methodology, with the near-detector analysis introducing new selections and using more than double the data. Additionally, this is the first T2K oscillation analysis to use NA61/SHINE data on a replica of the T2K target to tune the neutrino flux model, and the neutrino interaction model was improved to include new nuclear effects and calculations. Frequentist and Bayesian analyses are presented, including results on sin 2 θ 13 and the impact of priors on the δ CP measurement. Both analyses prefer the normal mass ordering and upper octant of sin 2 θ 23 with a nearly maximally CP-violating phase. Assuming the normal ordering and using the constraint on sin 2 θ 13 from reactors, sin 2 θ 23 = 0 . 561 - 0.032 + 0.021 using Feldman-Cousins corrected intervals, and Δ m 32 2 = 2 . 494 - 0.058 + 0.041 × 10 - 3 eV 2 using constant Δ χ 2 intervals. The CP-violating phase is constrained to δ CP = - 1 . 97 - 0.70 + 0.97 using Feldman-Cousins corrected intervals, and δ CP = 0 , π is excluded at more than 90% confidence level. A Jarlskog invariant of zero is excluded at more than 2 σ credible level using a flat prior in δ CP , and just below 2 σ using a flat prior in sin δ CP . When the external constraint on sin 2 θ 13 is removed, sin 2 θ 13 = 28 . 0 - 6.5 + 2.8 × 10 - 3 , in agreement with measurements from reactor experiments. These results are consistent with previous T2K analyses.
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Affiliation(s)
- K. Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - N. Akhlaq
- School of Physics and Astronomy, Queen Mary University of London, London, UK
| | - R. Akutsu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - A. Ali
- TRIUMF, Vancouver, BC Canada
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
| | - S. Alonso Monsalve
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - C. Alt
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - C. Andreopoulos
- Department of Physics, University of Liverpool, Liverpool, UK
| | - M. Antonova
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - S. Aoki
- Kobe University, Kobe, Japan
| | - T. Arihara
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - Y. Asada
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - Y. Ashida
- Department of Physics, Kyoto University, Kyoto, Japan
| | - E. T. Atkin
- Department of Physics, Imperial College London, London, UK
| | - M. Barbi
- Department of Physics, University of Regina, Regina, Saskatchewan Canada
| | - G. J. Barker
- Department of Physics, University of Warwick, Coventry, UK
| | - G. Barr
- Department of Physics, Oxford University, Oxford, UK
| | - D. Barrow
- Department of Physics, Oxford University, Oxford, UK
| | | | - F. Bench
- Department of Physics, University of Liverpool, Liverpool, UK
| | - V. Berardi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - L. Berns
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - S. Bhadra
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Blanchet
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - A. Blondel
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - S. Bolognesi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - T. Bonus
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - S. Bordoni
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - S. B. Boyd
- Department of Physics, University of Warwick, Coventry, UK
| | - A. Bravar
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - C. Bronner
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. Bron
- TRIUMF, Vancouver, BC Canada
| | - A. Bubak
- Institute of Physics, University of Silesia, Katowice, Poland
| | - M. Buizza Avanzini
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - J. A. Caballero
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - N. F. Calabria
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - S. Cao
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
| | - D. Carabadjac
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
- Université Paris-Saclay, Gif-sur-Yvette, France
| | - A. J. Carter
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
| | - S. L. Cartwright
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - M. G. Catanesi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - A. Cervera
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - J. Chakrani
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - D. Cherdack
- Department of Physics, University of Houston, Houston, TX USA
| | - P. S. Chong
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - G. Christodoulou
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - A. Chvirova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Cicerchia
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
- INFN-Laboratori Nazionali di Legnaro, Legnaro, Italy
| | - J. Coleman
- Department of Physics, University of Liverpool, Liverpool, UK
| | - G. Collazuol
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - L. Cook
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Oxford University, Oxford, UK
| | - A. Cudd
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - C. Dalmazzone
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - T. Daret
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Yu. I. Davydov
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - A. De Roeck
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - G. De Rosa
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - T. Dealtry
- Physics Department, Lancaster University, Lancaster, UK
| | - C. C. Delogu
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - C. Densham
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Dergacheva
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F. Di Lodovico
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - S. Dolan
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - D. Douqa
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - T. A. Doyle
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - O. Drapier
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - J. Dumarchez
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - P. Dunne
- Department of Physics, Imperial College London, London, UK
| | - K. Dygnarowicz
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - A. Eguchi
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - S. Emery-Schrenk
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - G. Erofeev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A. Ershova
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - G. Eurin
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Fedorova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - S. Fedotov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Feltre
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. J. Finch
- Physics Department, Lancaster University, Lancaster, UK
| | | | - G. Fiorillo
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - M. D. Fitton
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - J. M. Franco Patiño
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - M. Friend
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Fujii
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Fukuda
- Department of Physics, Miyagi University of Education, Sendai, Japan
| | - K. Fusshoeller
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - L. Giannessi
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - C. Giganti
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - V. Glagolev
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - M. Gonin
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582 Japan
| | - J. González Rosa
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - E. A. G. Goodman
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - A. Gorin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Grassi
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - M. Guigue
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - D. R. Hadley
- Department of Physics, University of Warwick, Coventry, UK
| | - J. T. Haigh
- Department of Physics, University of Warwick, Coventry, UK
| | | | - D. A. Harris
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - M. Hartz
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- TRIUMF, Vancouver, BC Canada
| | - T. Hasegawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - S. Hassani
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. C. Hastings
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - Y. Hayato
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - D. Henaff
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - A. Hiramoto
- Department of Physics, Kyoto University, Kyoto, Japan
| | - M. Hogan
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
| | - J. Holeczek
- Institute of Physics, University of Silesia, Katowice, Poland
| | - A. Holin
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - T. Holvey
- Department of Physics, Oxford University, Oxford, UK
| | - N. T. Hong Van
- International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam
| | - T. Honjo
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - F. Iacob
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. K. Ichikawa
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - M. Ikeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - T. Ishida
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - M. Ishitsuka
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - H. T. Israel
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - K. Iwamoto
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Izmaylov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - N. Izumi
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - M. Jakkapu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - B. Jamieson
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
| | - S. J. Jenkins
- Department of Physics, University of Liverpool, Liverpool, UK
| | - C. Jesús-Valls
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - J. J. Jiang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - P. Jonsson
- Department of Physics, Imperial College London, London, UK
| | - S. Joshi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C. K. Jung
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - P. B. Jurj
- Department of Physics, Imperial College London, London, UK
| | - M. Kabirnezhad
- Department of Physics, Imperial College London, London, UK
| | - A. C. Kaboth
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - T. Kajita
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - H. Kakuno
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - J. Kameda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. P. Kasetti
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - Y. Kataoka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Katayama
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - T. Katori
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - M. Kawaue
- Department of Physics, Kyoto University, Kyoto, Japan
| | - E. Kearns
- Department of Physics, Boston University, Boston, MA USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. Khabibullin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A. Khotjantsev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - T. Kikawa
- Department of Physics, Kyoto University, Kyoto, Japan
| | - H. Kikutani
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - S. King
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - V. Kiseeva
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - J. Kisiel
- Institute of Physics, University of Silesia, Katowice, Poland
| | - T. Kobata
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - H. Kobayashi
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - T. Kobayashi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - L. Koch
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - S. Kodama
- Department of Physics, University of Tokyo, Tokyo, Japan
| | | | - L. L. Kormos
- Physics Department, Lancaster University, Lancaster, UK
| | - Y. Koshio
- Department of Physics, Okayama University, Okayama, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - A. Kostin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - T. Koto
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - K. Kowalik
- National Centre for Nuclear Research, Warsaw, Poland
| | - Y. Kudenko
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Moscow Institute of Physics and Technology (MIPT), Moscow Region, Russia and National Research Nuclear University “MEPhI”, Moscow, Russia
| | - Y. Kudo
- Department of Physics, Yokohama National University, Yokohama, Japan
| | | | - R. Kurjata
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - T. Kutter
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - M. Kuze
- Department of Physics, Tokyo Institute of Technology, Tokyo, Japan
| | - M. La Commara
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - L. Labarga
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - K. Lachner
- Department of Physics, University of Warwick, Coventry, UK
| | - J. Lagoda
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. M. Lakshmi
- National Centre for Nuclear Research, Warsaw, Poland
| | - M. Lamers James
- Physics Department, Lancaster University, Lancaster, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - M. Lamoureux
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. Langella
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - J.-F. Laporte
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Last
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - N. Latham
- Department of Physics, University of Warwick, Coventry, UK
| | - M. Laveder
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - L. Lavitola
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - M. Lawe
- Physics Department, Lancaster University, Lancaster, UK
| | - Y. Lee
- Department of Physics, Kyoto University, Kyoto, Japan
| | - C. Lin
- Department of Physics, Imperial College London, London, UK
| | - S.-K. Lin
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - R. P. Litchfield
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - S. L. Liu
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - W. Li
- Department of Physics, Oxford University, Oxford, UK
| | - A. Longhin
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - K. R. Long
- Department of Physics, Imperial College London, London, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - A. Lopez Moreno
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - L. Ludovici
- INFN Sezione di Roma and Università di Roma “La Sapienza”, Rome, Italy
| | - X. Lu
- Department of Physics, University of Warwick, Coventry, UK
| | - T. Lux
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - L. N. Machado
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - L. Magaletti
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - K. Mahn
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
| | - M. Malek
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - M. Mandal
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. Manly
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
| | - A. D. Marino
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - L. Marti-Magro
- Department of Physics, Yokohama National University, Yokohama, Japan
| | | | - M. Martini
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- IPSA-DRII, Ivry-sur-Seine, France
| | - J. F. Martin
- Department of Physics, University of Toronto, Toronto, ON Canada
| | - T. Maruyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - T. Matsubara
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - V. Matveev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - C. Mauger
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - K. Mavrokoridis
- Department of Physics, University of Liverpool, Liverpool, UK
| | - E. Mazzucato
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. McCauley
- Department of Physics, University of Liverpool, Liverpool, UK
| | - J. McElwee
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - K. S. McFarland
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
| | - C. McGrew
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - J. McKean
- Department of Physics, Imperial College London, London, UK
| | - A. Mefodiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - G. D. Megias
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - P. Mehta
- Department of Physics, University of Liverpool, Liverpool, UK
| | - L. Mellet
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - C. Metelko
- Department of Physics, University of Liverpool, Liverpool, UK
| | - M. Mezzetto
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - E. Miller
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - A. Minamino
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - O. Mineev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - S. Mine
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - M. Miura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | | | - S. Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - S. Moriyama
- Department of Physics, Yokohama National University, Yokohama, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - P. Morrison
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - Th. A. Mueller
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - D. Munford
- Department of Physics, University of Houston, Houston, TX USA
| | - L. Munteanu
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - K. Nagai
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - Y. Nagai
- Department of Atomic Physics, Eötvös Loránd University, Budapest, Hungary
| | - T. Nakadaira
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - K. Nakagiri
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - M. Nakahata
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Nakajima
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Nakamura
- Department of Physics, Okayama University, Okayama, Japan
| | - H. Nakamura
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - K. Nakamura
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- J-PARC, Tokai, Japan
| | - K. D. Nakamura
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - Y. Nakano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. Nakayama
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - T. Nakaya
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Kyoto University, Kyoto, Japan
| | - K. Nakayoshi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | | | - T. V. Ngoc
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
- The Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
| | - V. Q. Nguyen
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - K. Niewczas
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - S. Nishimori
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - Y. Nishimura
- Department of Physics, Keio University, Yokohama, Kanagawa Japan
| | - K. Nishizaki
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - T. Nosek
- National Centre for Nuclear Research, Warsaw, Poland
| | - F. Nova
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - P. Novella
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - J. C. Nugent
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | | | - L. O’Sullivan
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - T. Odagawa
- Department of Physics, Kyoto University, Kyoto, Japan
| | - T. Ogawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - R. Okada
- Department of Physics, Okayama University, Okayama, Japan
| | - W. Okinaga
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - K. Okumura
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
| | - T. Okusawa
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - N. Ospina
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - R. A. Owen
- School of Physics and Astronomy, Queen Mary University of London, London, UK
| | - Y. Oyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - V. Palladino
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - V. Paolone
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA USA
| | - M. Pari
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - J. Parlone
- Department of Physics, University of Liverpool, Liverpool, UK
| | - S. Parsa
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - J. Pasternak
- Department of Physics, Imperial College London, London, UK
| | | | - D. Payne
- Department of Physics, University of Liverpool, Liverpool, UK
| | - G. C. Penn
- Department of Physics, University of Liverpool, Liverpool, UK
| | - D. Pershey
- Department of Physics, Duke University, Durham, NC USA
| | - L. Pickering
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
| | - C. Pidcott
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - G. Pintaudi
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - C. Pistillo
- Laboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics, University of Bern, Bern, Switzerland
| | - B. Popov
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- JINR, Dubna, Russia
| | - K. Porwit
- Institute of Physics, University of Silesia, Katowice, Poland
| | | | - Y. S. Prabhu
- National Centre for Nuclear Research, Warsaw, Poland
| | - F. Pupilli
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - B. Quilain
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - T. Radermacher
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - E. Radicioni
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - B. Radics
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - M. A. Ramírez
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - P. N. Ratoff
- Physics Department, Lancaster University, Lancaster, UK
| | - M. Reh
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - C. Riccio
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - E. Rondio
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. Roth
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - N. Roy
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Rubbia
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - A. C. Ruggeri
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - C. A. Ruggles
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - A. Rychter
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - K. Sakashita
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - F. Sánchez
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - G. Santucci
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - C. M. Schloesser
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - K. Scholberg
- Department of Physics, Duke University, Durham, NC USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. Scott
- Department of Physics, Imperial College London, London, UK
| | - Y. Seiya
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Science Department, BMCC/CUNY, New York, NY USA
| | - T. Sekiguchi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - H. Sekiya
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - D. Sgalaberna
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - A. Shaikhiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F. Shaker
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Shaykina
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Shiozawa
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - W. Shorrock
- Department of Physics, Imperial College London, London, UK
| | - A. Shvartsman
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - N. Skrobova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | | | - D. Smyczek
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - M. Smy
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
| | - J. T. Sobczyk
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - H. Sobel
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - F. J. P. Soler
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - Y. Sonoda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - A. J. Speers
- Physics Department, Lancaster University, Lancaster, UK
| | - R. Spina
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - I. A. Suslov
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - S. Suvorov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | | | - S. Y. Suzuki
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Suzuki
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - A. A. Sztuc
- Department of Physics, Imperial College London, London, UK
| | - M. Tada
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - S. Tairafune
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - S. Takayasu
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - A. Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Takeuchi
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kobe University, Kobe, Japan
| | - K. Takifuji
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - H. K. Tanaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - Y. Tanihara
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - M. Tani
- Department of Physics, Kyoto University, Kyoto, Japan
| | - A. Teklu
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | | | - N. Teshima
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - N. Thamm
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - L. F. Thompson
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - W. Toki
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
| | - C. Touramanis
- Department of Physics, University of Liverpool, Liverpool, UK
| | - T. Towstego
- Department of Physics, University of Toronto, Toronto, ON Canada
| | - K. M. Tsui
- Department of Physics, University of Liverpool, Liverpool, UK
| | - T. Tsukamoto
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - M. Tzanov
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - Y. Uchida
- Department of Physics, Imperial College London, London, UK
| | - M. Vagins
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - D. Vargas
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - M. Varghese
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - G. Vasseur
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C. Vilela
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - E. Villa
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | | | - U. Virginet
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | | | - T. Wachala
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - J. G. Walsh
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
| | - Y. Wang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - L. Wan
- Department of Physics, Boston University, Boston, MA USA
| | - D. Wark
- Department of Physics, Oxford University, Oxford, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - M. O. Wascko
- Department of Physics, Imperial College London, London, UK
| | - A. Weber
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - R. Wendell
- Department of Physics, Kyoto University, Kyoto, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. J. Wilking
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - C. Wilkinson
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. R. Wilson
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - K. Wood
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - C. Wret
- Department of Physics, Oxford University, Oxford, UK
| | - J. Xia
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - Y.-H. Xu
- Physics Department, Lancaster University, Lancaster, UK
| | - K. Yamamoto
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Nambu Yoichiro Institute of Theoretical and Experimental Physics (NITEP), Osaka, Japan
| | - T. Yamamoto
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - C. Yanagisawa
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Science Department, BMCC/CUNY, New York, NY USA
| | - G. Yang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - T. Yano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - K. Yasutome
- Department of Physics, Kyoto University, Kyoto, Japan
| | - N. Yershov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - U. Yevarouskaya
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - M. Yokoyama
- Department of Physics, University of Tokyo, Tokyo, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - Y. Yoshimoto
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - N. Yoshimura
- Department of Physics, Kyoto University, Kyoto, Japan
| | - M. Yu
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - R. Zaki
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Zalewska
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - J. Zalipska
- National Centre for Nuclear Research, Warsaw, Poland
| | - K. Zaremba
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - G. Zarnecki
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - X. Zhao
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - T. Zhu
- Department of Physics, Imperial College London, London, UK
| | - M. Ziembicki
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - E. D. Zimmerman
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - M. Zito
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - S. Zsoldos
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - T2K Collaboration
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
- Laboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics, University of Bern, Bern, Switzerland
- Department of Physics, Boston University, Boston, MA USA
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
- Department of Physics, Duke University, Durham, NC USA
- Department of Atomic Physics, Eötvös Loránd University, Budapest, Hungary
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- Department of Physics, University of Houston, Houston, TX USA
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
- IFIC (CSIC and University of Valencia), Valencia, Spain
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
- Department of Physics, Imperial College London, London, UK
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
- INFN Sezione di Roma and Università di Roma “La Sapienza”, Rome, Italy
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582 Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Keio University, Yokohama, Kanagawa Japan
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
- Kobe University, Kobe, Japan
- Department of Physics, Kyoto University, Kyoto, Japan
- Physics Department, Lancaster University, Lancaster, UK
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
- Department of Physics, University of Liverpool, Liverpool, UK
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
- Department of Physics, Miyagi University of Education, Sendai, Japan
- National Centre for Nuclear Research, Warsaw, Poland
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Department of Physics, Okayama University, Okayama, Japan
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Department of Physics, Oxford University, Oxford, UK
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA USA
- School of Physics and Astronomy, Queen Mary University of London, London, UK
- Department of Physics, University of Regina, Regina, Saskatchewan Canada
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
- Institute of Physics, University of Silesia, Katowice, Poland
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
- Department of Physics, University of Tokyo, Tokyo, Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
- Department of Physics, Tokyo Institute of Technology, Tokyo, Japan
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
- Department of Physics, University of Toronto, Toronto, ON Canada
- TRIUMF, Vancouver, BC Canada
- Faculty of Physics, University of Warsaw, Warsaw, Poland
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
- Department of Physics, University of Warwick, Coventry, UK
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
- Department of Physics, Yokohama National University, Yokohama, Japan
- Department of Physics and Astronomy, York University, Toronto, ON Canada
- Université Paris-Saclay, Gif-sur-Yvette, France
- INFN-Laboratori Nazionali di Legnaro, Legnaro, Italy
- J-PARC, Tokai, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
- Moscow Institute of Physics and Technology (MIPT), Moscow Region, Russia and National Research Nuclear University “MEPhI”, Moscow, Russia
- IPSA-DRII, Ivry-sur-Seine, France
- The Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
- JINR, Dubna, Russia
- Nambu Yoichiro Institute of Theoretical and Experimental Physics (NITEP), Osaka, Japan
- Science Department, BMCC/CUNY, New York, NY USA
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9
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Liu L, Chen X, Wan L, Zhang N, Hu R, Li W, Liu S, Zhu Y, Pang H, Liang D, Chen Y, Hu Z. Feasibility of a deep learning algorithm to achieve the low-dose 68Ga-FAPI/the fast-scan PET images: a multicenter study. Br J Radiol 2023; 96:20230038. [PMID: 37393527 PMCID: PMC10461288 DOI: 10.1259/bjr.20230038] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 05/26/2023] [Accepted: 06/04/2023] [Indexed: 07/03/2023] Open
Abstract
OBJECTIVES Our work aims to study the feasibility of a deep learning algorithm to reduce the 68Ga-FAPI radiotracer injected activity and/or shorten the scanning time and to investigate its effects on image quality and lesion detection ability. METHODS The data of 130 patients who underwent 68Ga-FAPI positron emission tomography (PET)/CT in two centers were studied. Predicted full-dose images (DL-22%, DL-28% and DL-33%) were obtained from three groups of low-dose images using a deep learning method and compared with the standard-dose images (raw data). Injection activity for full-dose images was 2.16 ± 0.61 MBq/kg. The quality of the predicted full-dose PET images was subjectively evaluated by two nuclear physicians using a 5-point Likert scale, and objectively evaluated by the peak signal-to-noise ratio, structural similarity index and root mean square error. The maximum standardized uptake value and the mean standardized uptake value (SUVmean) were used to quantitatively analyze the four volumes of interest (the brain, liver, left lung and right lung) and all lesions, and the lesion detection rate was calculated. RESULTS Data showed that the DL-33% images of the two test data sets met the clinical diagnosis requirements, and the overall lesion detection rate of the two centers reached 95.9%. CONCLUSION Through deep learning, we demonstrated that reducing the 68Ga-FAPI injected activity and/or shortening the scanning time in PET/CT imaging was feasible. In addition, 68Ga-FAPI dose as low as 33% of the standard dose maintained acceptable image quality. ADVANCES IN KNOWLEDGE This is the first study of low-dose 68Ga-FAPI PET images from two centers using a deep learning algorithm.
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Affiliation(s)
| | | | - Liwen Wan
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | | | - Ruibao Hu
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Wenbo Li
- Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shengping Liu
- Chongqing University of Technology, Chongqing, China
| | | | - Hua Pang
- Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Dong Liang
- Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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10
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Wang J, Liao Y, You Y, Liang W, Wan L, Yang H, Liu J, Li Y, Wang X, Nie G. Acupuncture and Chinese herbal medicine for menopausal mood disorder: a randomized controlled trial. Climacteric 2023; 26:392-400. [PMID: 36921619 DOI: 10.1080/13697137.2023.2187284] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/05/2023] [Accepted: 02/28/2023] [Indexed: 03/17/2023]
Abstract
OBJECTIVE This study aimed to analyze the effectiveness of acupuncture combined with Chinese herbal medicine (CHM) on mood disorder symptoms for menopausal women. METHODS A total of 95 qualified Chinese participants were randomly assigned to one of three groups: 31 in the acupuncture combined with CHM group (combined group), 32 in the acupuncture combined with CHM placebo group (acupuncture group) and 32 in the CHM combined with sham acupuncture group (CHM group). The patients were treated for 8 weeks and followed up for 4 weeks. The data were collected using the Greene Climacteric Scale (GCS), self-rating depression scale (SDS), self-rating anxiety scale (SAS) and safety index. RESULTS The three groups each showed significant decreases in the GCS, SDS and SAS after treatment (p < 0.05). Furthermore, the effect on the GCS total score and the anxiety domain lasted until the follow-up period in the combined group (p < 0.05). Within the three groups, there was no difference in GCS and SAS between the three groups after treatment (p > 0.05). However, the combined group showed significant improvement in the SDS, compared with both the acupuncture group and the CHM group at 8 weeks and 12 weeks (p < 0.05). No obvious abnormal cases were found in any of the safety indexes. CONCLUSIONS The results suggest that either acupuncture, or CHM or combined therapy offer safe improvement of mood disorder symptoms for menopausal women. However, the combination therapy was associated with more stable effects in the follow-up period and a superior effect on improving depression symptoms.
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Affiliation(s)
- J Wang
- The Second Clinical Medical College of Guangzhou, University of Chinese Medicine, Guangzhou, China
| | - Y Liao
- The Second Clinical Medical College of Guangzhou, University of Chinese Medicine, Guangzhou, China
| | - Y You
- The Second Clinical Medical College of Guangzhou, University of Chinese Medicine, Guangzhou, China
| | - W Liang
- The Second Clinical Medical College of Guangzhou, University of Chinese Medicine, Guangzhou, China
| | - L Wan
- Department of Psychology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - H Yang
- Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - J Liu
- Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Y Li
- Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - X Wang
- Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - G Nie
- Department of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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11
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Abe K, Hayato Y, Hiraide K, Ieki K, Ikeda M, Kameda J, Kanemura Y, Kaneshima R, Kashiwagi Y, Kataoka Y, Miki S, Mine S, Miura M, Moriyama S, Nakano Y, Nakahata M, Nakayama S, Noguchi Y, Okamoto K, Sato K, Sekiya H, Shiba H, Shimizu K, Shiozawa M, Sonoda Y, Suzuki Y, Takeda A, Takemoto Y, Takenaka A, Tanaka H, Watanabe S, Yano T, Han S, Kajita T, Okumura K, Tashiro T, Tomiya T, Wang X, Xia J, Yoshida S, Megias GD, Fernandez P, Labarga L, Ospina N, Zaldivar B, Pointon BW, Kearns E, Raaf JL, Wan L, Wester T, Bian J, Griskevich NJ, Kropp WR, Locke S, Smy MB, Sobel HW, Takhistov V, Yankelevich A, Hill J, Park RG, Bodur B, Scholberg K, Walter CW, Bernard L, Coffani A, Drapier O, El Hedri S, Giampaolo A, Mueller TA, Santos AD, Paganini P, Quilain B, Ishizuka T, Nakamura T, Jang JS, Learned JG, Choi K, Cao S, Anthony LHV, Martin D, Scott M, Sztuc AA, Uchida Y, Berardi V, Catanesi MG, Radicioni E, Calabria NF, Machado LN, De Rosa G, Collazuol G, Iacob F, Lamoureux M, Mattiazzi M, Ludovici L, Gonin M, Pronost G, Fujisawa C, Maekawa Y, Nishimura Y, Friend M, Hasegawa T, Ishida T, Kobayashi T, Jakkapu M, Matsubara T, Nakadaira T, Nakamura K, Oyama Y, Sakashita K, Sekiguchi T, Tsukamoto T, Boschi T, Di Lodovico F, Gao J, Goldsack A, Katori T, Migenda J, Taani M, Zsoldos S, Kotsar Y, Ozaki H, Suzuki AT, Takeuchi Y, Bronner C, Feng J, Kikawa T, Mori M, Nakaya T, Wendell RA, Yasutome K, Jenkins SJ, McCauley N, Mehta P, Tsui KM, Fukuda Y, Itow Y, Menjo H, Ninomiya K, Lagoda J, Lakshmi SM, Mandal M, Mijakowski P, Prabhu YS, Zalipska J, Jia M, Jiang J, Jung CK, Wilking MJ, Yanagisawa C, Harada M, Ishino H, Ito S, Kitagawa H, Koshio Y, Nakanishi F, Sakai S, Barr G, Barrow D, Cook L, Samani S, Wark D, Nova F, Yang JY, Malek M, McElwee JM, Stone O, Thiesse MD, Thompson LF, Okazawa H, Kim SB, Seo JW, Yu I, Ichikawa AK, Nakamura KD, Tairafune S, Nishijima K, Iwamoto K, Nakagiri K, Nakajima Y, Taniuchi N, Yokoyama M, Martens K, de Perio P, Vagins MR, Kuze M, Izumiyama S, Inomoto M, Ishitsuka M, Ito H, Kinoshita T, Matsumoto R, Ommura Y, Shigeta N, Shinoki M, Suganuma T, Yamauchi K, Martin JF, Tanaka HA, Towstego T, Akutsu R, Gousy-Leblanc V, Hartz M, Konaka A, Prouse NW, Chen S, Xu BD, Zhang B, Posiadala-Zezula M, Hadley D, Nicholson M, O'Flaherty M, Richards B, Ali A, Jamieson B, Marti L, Minamino A, Pintaudi G, Sano S, Suzuki S, Wada K. Search for Cosmic-Ray Boosted Sub-GeV Dark Matter Using Recoil Protons at Super-Kamiokande. Phys Rev Lett 2023; 130:031802. [PMID: 36763398 DOI: 10.1103/physrevlett.130.031802] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/30/2022] [Indexed: 06/18/2023]
Abstract
We report a search for cosmic-ray boosted dark matter with protons using the 0.37 megaton×years data collected at Super-Kamiokande experiment during the 1996-2018 period (SKI-IV phase). We searched for an excess of proton recoils above the atmospheric neutrino background from the vicinity of the Galactic Center. No such excess is observed, and limits are calculated for two reference models of dark matter with either a constant interaction cross section or through a scalar mediator. This is the first experimental search for boosted dark matter with hadrons using directional information. The results present the most stringent limits on cosmic-ray boosted dark matter and exclude the dark matter-nucleon elastic scattering cross section between 10^{-33}cm^{2} and 10^{-27}cm^{2} for dark matter mass from 1 MeV/c^{2} to 300 MeV/c^{2}.
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Affiliation(s)
- K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Hayato
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Hiraide
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Ieki
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M Ikeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - J Kameda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Kanemura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - R Kaneshima
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - Y Kashiwagi
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - Y Kataoka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Miki
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - S Mine
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - M Miura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Nakano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - M Nakahata
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Nakayama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Noguchi
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - K Okamoto
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - K Sato
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - H Sekiya
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - H Shiba
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - K Shimizu
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - M Shiozawa
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Sonoda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - Y Suzuki
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Takemoto
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - A Takenaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - H Tanaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Watanabe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - T Yano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Gifu 506-1205, Japan
| | - S Han
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - T Kajita
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Okumura
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - T Tashiro
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - T Tomiya
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - X Wang
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - J Xia
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - S Yoshida
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - G D Megias
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Chiba 277-8582, Japan
| | - P Fernandez
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - L Labarga
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - N Ospina
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - B Zaldivar
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - B W Pointon
- Department of Physics, British Columbia Institute of Technology, Burnaby, British Columbia V5G 3H2, Canada
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - E Kearns
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - J L Raaf
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
| | - L Wan
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
| | - T Wester
- Department of Physics, Boston University, Boston, Massachusetts 02215, USA
| | - J Bian
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - N J Griskevich
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - W R Kropp
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - S Locke
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - M B Smy
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - H W Sobel
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - V Takhistov
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - A Yankelevich
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
| | - J Hill
- Department of Physics, California State University, Dominguez Hills, Carson, California 90747, USA
| | - R G Park
- Institute for Universe and Elementary Particles, Chonnam National University, Gwangju 61186, Korea
| | - B Bodur
- Department of Physics, Duke University, Durham, North Carolina 27708, USA
| | - K Scholberg
- Department of Physics, Duke University, Durham, North Carolina 27708, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - C W Walter
- Department of Physics, Duke University, Durham, North Carolina 27708, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - L Bernard
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - A Coffani
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - O Drapier
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - S El Hedri
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - A Giampaolo
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - Th A Mueller
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - A D Santos
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - P Paganini
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - B Quilain
- Ecole Polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet, F-91120 Palaiseau, France
| | - T Ishizuka
- Junior College, Fukuoka Institute of Technology, Fukuoka, Fukuoka 811-0295, Japan
| | - T Nakamura
- Department of Physics, Gifu University, Gifu, Gifu 501-1193, Japan
| | - J S Jang
- GIST College, Gwangju Institute of Science and Technology, Gwangju 500-712, Korea
| | - J G Learned
- Department of Physics and Astronomy, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Choi
- Institute for Basic Science (IBS), Daejeon 34126, Korea
| | - S Cao
- Institute For Interdisciplinary Research in Science and Education, ICISE, Quy Nhon 55121, Vietnam
| | - L H V Anthony
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - D Martin
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - M Scott
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - A A Sztuc
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - Y Uchida
- Department of Physics, Imperial College London, London SW7 2AZ, United Kingdom
| | - V Berardi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, I-70125 Bari, Italy
| | - M G Catanesi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, I-70125 Bari, Italy
| | - E Radicioni
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, I-70125 Bari, Italy
| | - N F Calabria
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, I-80126 Napoli, Italy
| | - L N Machado
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, I-80126 Napoli, Italy
| | - G De Rosa
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, I-80126 Napoli, Italy
| | - G Collazuol
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - F Iacob
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - M Lamoureux
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - M Mattiazzi
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, I-35131 Padova, Italy
| | - L Ludovici
- INFN Sezione di Roma and Università di Roma "La Sapienza," I-00185, Roma, Italy
| | - M Gonin
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582, Japan
| | - G Pronost
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582, Japan
| | - C Fujisawa
- Department of Physics, Keio University, Yokohama, Kanagawa 223-8522, Japan
| | - Y Maekawa
- Department of Physics, Keio University, Yokohama, Kanagawa 223-8522, Japan
| | - Y Nishimura
- Department of Physics, Keio University, Yokohama, Kanagawa 223-8522, Japan
| | - M Friend
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Hasegawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Ishida
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Kobayashi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - M Jakkapu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Matsubara
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Nakadaira
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - K Nakamura
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Oyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - K Sakashita
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Sekiguchi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Tsukamoto
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801, Japan
| | - T Boschi
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - F Di Lodovico
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - J Gao
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - A Goldsack
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - T Katori
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - J Migenda
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - M Taani
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
| | - S Zsoldos
- Department of Physics, King's College London, London WC2R 2LS, United Kingdom
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - Y Kotsar
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - H Ozaki
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A T Suzuki
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - Y Takeuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - C Bronner
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - J Feng
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - T Kikawa
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - M Mori
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - T Nakaya
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - R A Wendell
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Yasutome
- Department of Physics, Kyoto University, Kyoto, Kyoto 606-8502, Japan
| | - S J Jenkins
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - N McCauley
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - P Mehta
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - K M Tsui
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - Y Fukuda
- Department of Physics, Miyagi University of Education, Sendai, Miyagi 980-0845, Japan
| | - Y Itow
- Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8602, Japan
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - H Menjo
- Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - K Ninomiya
- Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - J Lagoda
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - S M Lakshmi
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - M Mandal
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - P Mijakowski
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - Y S Prabhu
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - J Zalipska
- National Centre For Nuclear Research, 02-093 Warsaw, Poland
| | - M Jia
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - J Jiang
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - C K Jung
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - M J Wilking
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - C Yanagisawa
- Department of Physics and Astronomy, State University of New York at Stony Brook, New York 11794-3800, USA
| | - M Harada
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - H Ishino
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - S Ito
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - H Kitagawa
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - Y Koshio
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - F Nakanishi
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - S Sakai
- Department of Physics, Okayama University, Okayama, Okayama 700-8530, Japan
| | - G Barr
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
| | - D Barrow
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
| | - L Cook
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - S Samani
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
| | - D Wark
- Department of Physics, Oxford University, Oxford OX1 3PU, United Kingdom
- STFC, Rutherford Appleton Laboratory, Harwell Oxford, and Daresbury Laboratory, Warrington OX11 0QX, United Kingdom
| | - F Nova
- Rutherford Appleton Laboratory, Harwell, Oxford OX11 0QX, United Kingdom
| | - J Y Yang
- Department of Physics, Seoul National University, Seoul 151-742, Korea
| | - M Malek
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - J M McElwee
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - O Stone
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - M D Thiesse
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - L F Thompson
- Department of Physics and Astronomy, University of Sheffield, S3 7RH Sheffield, United Kingdom
| | - H Okazawa
- Department of Informatics in Social Welfare, Shizuoka University of Welfare, Yaizu, Shizuoka 425-8611, Japan
| | - S B Kim
- Department of Physics, Sungkyunkwan University, Suwon 440-746, Korea
| | - J W Seo
- Department of Physics, Sungkyunkwan University, Suwon 440-746, Korea
| | - I Yu
- Department of Physics, Sungkyunkwan University, Suwon 440-746, Korea
| | - A K Ichikawa
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi 980-8578, Japan
| | - K D Nakamura
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi 980-8578, Japan
| | - S Tairafune
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi 980-8578, Japan
| | - K Nishijima
- Department of Physics, Tokai University, Hiratsuka, Kanagawa 259-1292, Japan
| | - K Iwamoto
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
| | - K Nakagiri
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
| | - Y Nakajima
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - N Taniuchi
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
| | - M Yokoyama
- Department of Physics, University of Tokyo, Bunkyo, Tokyo 113-0033, Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - K Martens
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - P de Perio
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M R Vagins
- Department of Physics and Astronomy, University of California, Irvine, Irvine, California 92697-4575, USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba 277-8583, Japan
| | - M Kuze
- Department of Physics, Tokyo Institute of Technology, Meguro, Tokyo 152-8551, Japan
| | - S Izumiyama
- Department of Physics, Tokyo Institute of Technology, Meguro, Tokyo 152-8551, Japan
| | - M Inomoto
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - M Ishitsuka
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - H Ito
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - T Kinoshita
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - R Matsumoto
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - Y Ommura
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - N Shigeta
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - M Shinoki
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - T Suganuma
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - K Yamauchi
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba 278-8510, Japan
| | - J F Martin
- Department of Physics, University of Toronto, Ontario M5S 1A7, Canada
| | - H A Tanaka
- Department of Physics, University of Toronto, Ontario M5S 1A7, Canada
| | - T Towstego
- Department of Physics, University of Toronto, Ontario M5S 1A7, Canada
| | - R Akutsu
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - V Gousy-Leblanc
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - M Hartz
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - A Konaka
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - N W Prouse
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
| | - S Chen
- Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
| | - B D Xu
- Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
| | - B Zhang
- Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
| | | | - D Hadley
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - M Nicholson
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - M O'Flaherty
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - B Richards
- Department of Physics, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - A Ali
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T2A3, Canada
- Department of Physics, University of Winnipeg, Manitoba R3J 3L8, Canada
| | - B Jamieson
- Department of Physics, University of Winnipeg, Manitoba R3J 3L8, Canada
| | - Ll Marti
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - A Minamino
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - G Pintaudi
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - S Sano
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - S Suzuki
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
| | - K Wada
- Department of Physics, Yokohama National University, Yokohama, Kanagawa 240-8501, Japan
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Wan L, Zhou QJ, Xie LX. [Research progress on the pathogenesis of diabetes-related dry eye]. Zhonghua Yan Ke Za Zhi 2022; 58:1099-1105. [PMID: 36480898 DOI: 10.3760/cma.j.cn112142-20220503-00227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In recent years, with the further understanding of medical circles on diabetic ocular complications, the ocular surface abnormalities of diabetes has drawn increasing concerns. Nearly 50% of diabetic patients suffer from dry eye symptoms. The main manifestations of diabetes related dry eye were abnormal lacrimal secretion, poor lacrimal stability, decreased corneal sensitivity, persistent corneal epithelial defect and even corneal ulcer, which were mainly related to the changes of structure and function of lacrimal gland, the decrease of goblet cells in conjunctiva, the abnormality of meibomian gland function and the degeneration of corneal nerve caused by diabetes. In this paper, we summarized and analyzed the recent research progress on the effect of diabetes on lacrimal film, corneal innervation and lacrimal gland innervation, and the correlation between oxidative stress, advanced glycation end products and diabetes-related dry eye, to explore the pathogenesis of diabetes-related dry eye and to provide reference for clinical diagnosis, treatment and research.
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Affiliation(s)
- L Wan
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Qingdao 266071, China
| | - Q J Zhou
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Qingdao 266071, China
| | - L X Xie
- Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Provincial Key Laboratory of Ophthalmology, School of Ophthalmology, Shandong First Medical University, Qingdao 266071, China
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13
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Li HR, Chen CY, Tu J, Wan L, Geng HY, Gao J, Lin TT. [Observation of a case of atypical hemolytic uremic syndrome treated with eculizumab]. Zhonghua Er Ke Za Zhi 2022; 60:940-942. [PMID: 36038306 DOI: 10.3760/cma.j.cn112140-20220219-00131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- H R Li
- Department of Nephrology, Chidren's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - C Y Chen
- Department of Nephrology, Chidren's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - J Tu
- Department of Nephrology, Chidren's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - L Wan
- Department of Nephrology, Chidren's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - H Y Geng
- Department of Nephrology, Chidren's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - J Gao
- Department of Nephrology, Chidren's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
| | - T T Lin
- Department of Nephrology, Chidren's Hospital, Capital Institute of Pediatrics, Beijing 100020, China
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Wan L, Li H, Zhang L, Su S, Wang C, Zhang B, Liang D, Zheng H, Liu X, Zhang N. Automated morphologic analysis of intracranial and extracranial arteries using convolutional neural networks. Br J Radiol 2022; 95:20210031. [DOI: 10.1259/bjr.20210031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Objectives: To develop an automated method for 3D magnetic resonance (MR) vessel wall image analysis to facilitate morphologic quantification of intracranial and extracranial arteries, including vessel centerline tracking, vessel straightening and reformation, vessel wall segmentation based on convoluted neural networks (CNN), and morphological measurement. Methods: MR vessel wall images acquired using DANTE-SPACE sequences and corresponding TOF-MRA images of 67 subjects (including 47 healthy volunteers and 20 patients with atherosclerosis) were included in this study. The centerline of the vessel was firstly extracted from the MRA images and copyed to the 3D MR vessel wall images through the registration relationship between the MRA images and the MR vessel wall images to extract, straighten, and reconstruct interested vessel segments into 2D slices. Then a complete CNN-based Unet-like method was used to automatically segment the vessel wall to obtain quantitative morphological measurements such as maximum wall thicknesses and normalized wall index (NWI). Results: The proposed automatic segmentation network was trained and validated with 1,1735 slices and tested on 2517 slices. The method showed satisfactory agreement with manual segmentation method. The Dice coefficients of intracranial arteries were 0.90 for lumen and 0.78 for vessel wall, while the Dice coefficients of extracranial arteries were 0.90 for lumen and 0.82 for vessel wall. The maximum wall thickness and NWI obtained from the proposed automatic method were slightly larger than those obtained from the manual method for both intracranial and extracranial arteries. However, there was no significant difference of the quantitative measurements between the two methods (p > 0.05). In addition, the automatically measured NWI of plaque slice was significantly larger than that of normal slice. Conclusions: We propose an automatic analysis method of MR vessel wall images, which can realize automatic segmentation of intracranial and extracranial vessel wall. It is expected to facilitate large-scale arterial vessel wall morphological quantification. Advances in knowledge: We have proposed an automatic method for analysis of intracranial and extracranial MR vessel wall images simultaneously based on CNN, which can facilitate large-scale quantitative analyses of vessel walls.
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Affiliation(s)
- Liwen Wan
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Haoxiang Li
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Lei Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Shi Su
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Cheng Wang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Baochang Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Dong Liang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xin Liu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Na Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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Xu W, Yang X, Li Y, Jiang G, Jia S, Gong Z, Mao Y, Zhang S, Teng Y, Zhu J, He Q, Wan L, Liang D, Li Y, Hu Z, Zheng H, Liu X, Zhang N. Deep Learning-Based Automated Detection of Arterial Vessel Wall and Plaque on Magnetic Resonance Vessel Wall Images. Front Neurosci 2022; 16:888814. [PMID: 35720719 PMCID: PMC9198483 DOI: 10.3389/fnins.2022.888814] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 04/21/2022] [Indexed: 12/04/2022] Open
Abstract
Purpose To develop and evaluate an automatic segmentation method of arterial vessel walls and plaques, which is beneficial for facilitating the arterial morphological quantification in magnetic resonance vessel wall imaging (MRVWI). Methods MRVWI images acquired from 124 patients with atherosclerotic plaques were included. A convolutional neural network-based deep learning model, namely VWISegNet, was used to extract the features from MRVWI images and calculate the category of each pixel to facilitate the segmentation of vessel wall. Two-dimensional (2D) cross-sectional slices reconstructed from all plaques and 7 main arterial segments of 115 patients were used to build and optimize the deep learning model. The model performance was evaluated on the remaining nine-patient test set using the Dice similarity coefficient (DSC) and average surface distance (ASD). Results The proposed automatic segmentation method demonstrated satisfactory agreement with the manual method, with DSCs of 93.8% for lumen contours and 86.0% for outer wall contours, which were higher than those obtained from the traditional U-Net, Attention U-Net, and Inception U-Net on the same nine-subject test set. And all the ASD values were less than 0.198 mm. The Bland–Altman plots and scatter plots also showed that there was a good agreement between the methods. All intraclass correlation coefficient values between the automatic method and manual method were greater than 0.780, and greater than that between two manual reads. Conclusion The proposed deep learning-based automatic segmentation method achieved good consistency with the manual methods in the segmentation of arterial vessel wall and plaque and is even more accurate than manual results, hence improved the convenience of arterial morphological quantification.
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Affiliation(s)
- Wenjing Xu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Faculty of Information Technology, Beijing University of Technology, Beijing, China
| | - Xiong Yang
- United Imaging Healthcare Co., Ltd., Shanghai, China
| | - Yikang Li
- Department of Computing, Imperial College London, London, United Kingdom
| | - Guihua Jiang
- Department of Radiology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Sen Jia
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zhenhuan Gong
- United Imaging Healthcare Co., Ltd., Shanghai, China
| | - Yufei Mao
- United Imaging Healthcare Co., Ltd., Shanghai, China
| | - Shuheng Zhang
- United Imaging Healthcare Co., Ltd., Shanghai, China
| | - Yanqun Teng
- United Imaging Healthcare Co., Ltd., Shanghai, China
| | - Jiayu Zhu
- United Imaging Healthcare Co., Ltd., Shanghai, China
| | - Qiang He
- United Imaging Healthcare Co., Ltd., Shanghai, China
| | - Liwen Wan
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Dong Liang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ye Li
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zhanli Hu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xin Liu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Na Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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Yang G, Wan L, Zhang S, Shi X, Wang J, Hu L, Zou L. CLOCK, SIRT1, and HDAC2 Knockdown along with Melatonin Intervention Significantly Decreased the Level Glucocorticoid Receptor. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422010148] [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: 11/23/2022]
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17
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Chen B, Xi S, El-Senousey HAK, Zhou M, Cheng D, Chen K, Wan L, Xiong T, Liao M, Liu S, Mao H. Deletion in KRT75L4 linked to frizzle feather in Xiushui Yellow Chickens. Anim Genet 2021; 53:101-107. [PMID: 34904261 DOI: 10.1111/age.13158] [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] [Accepted: 11/17/2021] [Indexed: 11/30/2022]
Abstract
Bird feathers are the product of interactions between natural and artificial selection. Feather-related traits are important for chicken selection and breeding. Frizzle feather is characterized by the abnormally development of feathers in chickens. In the current study, frizzle feather characteristics were observed in a local breed called Xiushui Yellow Chicken in Jiangxi, China. To determine the molecular mechanisms that underlie frizzle feather in Xiushui Yellow Chicken, four populations of three breeds (Xiushui Yellow Chicken with frizzle feathers, Xiushui Yellow Chicken with normal feathers, Guangfeng White-Ear Yellow Chicken, and Ningdu Yellow Chicken) were selected for whole-genome resequencing. Using a comparative genome strategy and genome-wide association study, a missense mutation (g.5281494A>G) and a 15-bp deletion (g.5285437-5285451delGATGCCGGCAGGACG) in KRT75L4 were identified as candidate mutations associated with frizzle feather in Xiushui Yellow Chicken. Based on genotyping performed in a large Xiushui Yellow Chicken population, the g.5285437-5285451delGATGCCGGCAGGACG mutation in KRT75L4 was confirmed as the putative causative mutation of frizzle feather. These results deepen the understanding of the molecular mechanisms responsible for frizzle feather, as well as facilitating the molecular detection and selection of the feather phenotype in Xiushui Yellow Chickens.
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Affiliation(s)
- B Chen
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - S Xi
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China.,Jiangxi Biotech Vocational College, Nanchang, Jiangxi, 330200, China
| | - H A K El-Senousey
- Department of Animal Production, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt
| | - M Zhou
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - D Cheng
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - K Chen
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - L Wan
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - T Xiong
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - M Liao
- School of Foreign Languages, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - S Liu
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
| | - H Mao
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China
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18
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Abe K, Bronner C, Hayato Y, Hiraide K, Ikeda M, Imaizumi S, Kameda J, Kanemura Y, Kataoka Y, Miki S, Miura M, Moriyama S, Nagao Y, Nakahata M, Nakayama S, Okada T, Okamoto K, Orii A, Pronost G, Sekiya H, Shiozawa M, Sonoda Y, Suzuki Y, Takeda A, Takemoto Y, Takenaka A, Tanaka H, Watanabe S, Yano T, Han S, Kajita T, Okumura K, Tashiro T, Xia J, Megias G, Bravo-Berguño D, Labarga L, Marti L, Zaldivar B, Pointon B, Blaszczyk F, Kearns E, Raaf J, Stone J, Wan L, Wester T, Bian J, Griskevich N, Kropp W, Locke S, Mine S, Smy M, Sobel H, Takhistov V, Hill J, Kim J, Lim I, Park R, Bodur B, Scholberg K, Walter C, Cao S, Bernard L, Coffani A, Drapier O, El Hedri S, Giampaolo A, Gonin M, Mueller T, Paganini P, Quilain B, Ishizuka T, Nakamura T, Jang J, Learned J, Anthony L, Martin D, Scott M, Sztuc A, Uchida Y, Berardi V, Catanesi M, Radicioni E, Calabria N, Machado L, De Rosa G, Collazuol G, Iacob F, Lamoureux M, Mattiazzi M, Ospina N, Ludovici L, Maekawa Y, Nishimura Y, Friend M, Hasegawa T, Ishida T, Kobayashi T, Jakkapu M, Matsubara T, Nakadaira T, Nakamura K, Oyama Y, Sakashita K, Sekiguchi T, Tsukamoto T, Kotsar Y, Nakano Y, Ozaki H, Shiozawa T, Suzuki A, Takeuchi Y, Yamamoto S, Ali A, Ashida Y, Feng J, Hirota S, Kikawa T, Mori M, Nakaya T, Wendell R, Yasutome K, Fernandez P, McCauley N, Mehta P, Tsui K, Fukuda Y, Itow Y, Menjo H, Niwa T, Sato K, Tsukada M, Lagoda J, Lakshmi S, Mijakowski P, Zalipska J, Jiang J, Jung C, Vilela C, Wilking M, Yanagisawa C, Hagiwara K, Harada M, Horai T, Ishino H, Ito S, Kitagawa H, Koshio Y, Ma W, Piplani N, Sakai S, Barr G, Barrow D, Cook L, Goldsack A, Samani S, Wark D, Nova F, Boschi T, Di Lodovico F, Gao J, Migenda J, Taani M, Zsoldos S, Yang J, Jenkins S, Malek M, McElwee J, Stone O, Thiesse M, Thompson L, Okazawa H, Kim S, Seo J, Yu I, Nishijima K, Koshiba M, Iwamoto K, Nakagiri K, Nakajima Y, Ogawa N, Yokoyama M, Martens K, Vagins M, Kuze M, Izumiyama S, Yoshida T, Inomoto M, Ishitsuka M, Ito H, Kinoshita T, Matsumoto R, Ohta K, Shinoki M, Suganuma T, Ichikawa A, Nakamura K, Martin J, Tanaka H, Towstego T, Akutsu R, Gousy-Leblanc V, Hartz M, Konaka A, de Perio P, Prouse N, Chen S, Xu B, Zhang Y, Posiadala-Zezula M, Hadley D, O’Flaherty M, Richards B, Jamieson B, Walker J, Minamino A, Okamoto K, Pintaudi G, Sano S, Sasaki R. Diffuse supernova neutrino background search at Super-Kamiokande. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.122002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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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19
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Roychoudhury S, Zhuo Z, Qiao R, Wan L, Liang Y, Pan F, Chuang YD, Prendergast D, Yang W. Controlled Experiments and Optimized Theory of Absorption Spectra of Li Metal and Salts. ACS Appl Mater Interfaces 2021; 13:45488-45495. [PMID: 34529403 DOI: 10.1021/acsami.1c11970] [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] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Investigation of Li metal and ionic compounds through experimental and theoretical spectroscopy has been of tremendous interest due to their prospective applications in Li-metal and Li-ion batteries. Li K-edge soft X-ray absorption spectroscopy (sXAS) provides the most direct spectroscopic characterization; unfortunately, due to the low core-level energy and the highly reactive surface, Li-K sXAS of Li metal has been extremely challenging, as evidenced by many controversial reports. Here, through controlled and ultra-high energy resolution experiments of two kinds of in situ prepared samples, we report the intrinsic Li-K sXAS of Li-metal that displays a prominent leading peak that has not been revealed before. Furthermore, theoretical simulations show that, due to the low number of valence electrons in Li, the Li-K sXAS is strongly affected by the response of the valence electrons to the core hole. We successfully reproduce the Li-K sXAS by state-of-the-art calculations with considerations of a number of relevant parameters such as temperature, energy resolution, and, especially, contributions from transitions which are forbidden in the single-particle treatment. Such a comparative experimental and theoretical investigation is further extended to a series of Li ionic compounds, which highlight the importance of considering the total and single-particle energies for obtaining an accurate alignment of the spectra. Our work provides the first reliable Li-K sXAS of the Li metal surface with advanced theoretical calculations. The experimental and theoretical results provide a critical benchmark for studying Li chemistry in both metallic and ionic states.
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Affiliation(s)
- Subhayan Roychoudhury
- Advanced Light Source, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley California 94720, United States
- The Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley California 94720, United States
| | - Zengqing Zhuo
- Advanced Light Source, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley California 94720, United States
| | - Ruimin Qiao
- Advanced Light Source, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley California 94720, United States
| | - Liwen Wan
- Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, California 94550, United States
| | - Yufeng Liang
- The Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley California 94720, United States
| | - Feng Pan
- School of Advanced Materials, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Yi-de Chuang
- Advanced Light Source, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley California 94720, United States
| | - David Prendergast
- The Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley California 94720, United States
| | - Wanli Yang
- Advanced Light Source, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley California 94720, United States
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Garcia-Hernandez A, Wan L, Dopazo-Hilario S. In-silico manufacturing of asphalt concrete. POWDER TECHNOL 2021. [DOI: 10.1016/j.powtec.2021.03.065] [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: 10/21/2022]
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21
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Zhang L, Zhu Y, Qi Y, Wan L, Ren L, Zhu Y, Zhang N, Liang D, Li Y, Zheng H, Liu X. T 2-Weighted Whole-Brain Intracranial Vessel Wall Imaging at 3 Tesla With Cerebrospinal Fluid Suppression. Front Neurosci 2021; 15:665076. [PMID: 34248480 PMCID: PMC8267868 DOI: 10.3389/fnins.2021.665076] [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: 02/07/2021] [Accepted: 06/03/2021] [Indexed: 11/13/2022] Open
Abstract
Background T2-weighted (T2w) intracranial vessel wall imaging (IVWI) provides good contrast to differentiate intracranial vasculopathies and discriminate various important plaque components. However, the strong cerebrospinal fluid (CSF) signal in T2w images interferes with depicting the intracranial vessel wall. In this study, we propose a T2-prepared sequence for whole-brain IVWI at 3T with CSF suppression. Methods A preparation module that combines T2 preparation and inversion recovery (T2IR) was used to suppress the CSF signal and was incorporated into the commercial three-dimensional (3D) turbo spin echo sequence-Sampling Perfection with Application optimized Contrast using different flip angle Evolution (SPACE). This new technique (hereafter called T2IR-SPACE) was evaluated on nine healthy volunteers and compared with two other commonly used 3D T2-weighted sequences: T2w-SPACE and FLAIR-SPACE (FLAIR: fluid-attenuated inversion recovery). The signal-to-noise ratios (SNRs) of the vessel wall (VW) and CSF and contrast-to-noise ratios (CNRs) between them were measured and compared among these three T2-weighted sequences. Subjective wall visualization of the three T2-weighted sequences was scored blindly and independently by two radiologists using a four-point scale followed by inter-rater reproducibility analysis. A pilot study of four stroke patients was performed to preliminarily evaluate the diagnostic value of this new sequence, which was compared with two conventional T2-weighted sequences. Results T2IR-SPACE had the highest CNR (11.01 ± 6.75) compared with FLAIR-SPACE (4.49 ± 3.15; p < 0.001) and T2w-SPACE (-56.16 ± 18.58; p < 0.001). The subjective wall visualization score of T2IR-SPACE was higher than those of FLAIR-SPACE and T2w-SPACE (T2IR-SPACE: 2.35 ± 0.59; FLAIR-SPACE: 0.52 ± 0.54; T2w-SPACE: 1.67 ± 0.58); the two radiologists' scores showed excellent agreement (ICC = 0.883). Conclusion The T2IR preparation module markedly suppressed the CSF signal without much SNR loss of the other tissues (i.e., vessel wall, white matter, and gray matter) compared with the IR pulse. Our results suggest that T2IR-SPACE is a potential alternative T2-weighted sequence for assessing intracranial vascular diseases.
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Affiliation(s)
- Lei Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yanjie Zhu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yulong Qi
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Liwen Wan
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Lijie Ren
- Department of Neurology, Shenzhen No. 2 People's Hospital, Shenzhen, China
| | - Yi Zhu
- Department of Radiology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Na Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Dong Liang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ye Li
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xin Liu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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Tang F, Chen PF, Li FZ, Kuang DL, Wang JX, Wan L, Han XW, Ren JZ, Duan XH. [Clinical value of emergency endovascular embolization in the interventional treatment for oral hemorrhage caused by carcinoma]. Zhonghua Kou Qiang Yi Xue Za Zhi 2021; 56:370-373. [PMID: 33832039 DOI: 10.3760/cma.j.cn112144-20200603-00312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
To evaluate the clinical value of emergency endovascular embolization in the interventional treatment for oral hemorrhage caused by carcinoma, 32 patients with oral hemorrhage caused by carcinoma, who received emergency endovascular embolization due to unsatisfactory hemostatic effect of conventional conservative treatment in the First Affiliated Hospital of Zhengzhou University from January 2014 to December 2019, were included in this study and their clinical data, laboratory data and imaging information were retrospectively analyzed. There were 16 males and 16 females, aged (60.6±13.6) years (34-88 years). Technical successful rate of emergency endovascular embolization, immediate successful rate of controlling hemorrhage, blood pressure before and after operation, hemoglobin before and after operation, postoperative complications and recurrence rate of oral hemorrhage were statistically analyzed. Results showed that technical successful rate of operation and immediate successful rate of controlling oral hemorrhage are both 100% (32/32). Recurrent oral hemorrhage occurred in 4 patients (13%). The hemorrhagic shock symptoms of all patients were significantly improved after interventional therapy. After operation, local swelling happened in 34% (11/32) patients and intermittent local pain happened in 22% (7/32) within 24 hours; the swelling and the pain gradually disappeared from 2nd to 5th days. Mild complications of transient fever happened in 9% (3/32) patients and disappeared spontaneously in the short term. No serious complications such as blindness, cerebrovascular accident or central nervous system disturbance occurred in all patients after operations. During the whole follow-up period (1 to 12 months), a total of 8 patients died. The causes of death were progression and metastasis of carcinoma (n=4), heart failure (n=2), severe pneumonia (n=1) and respiratory failure caused by recurrent oral hemorrhage (n=1). Owing to the remarkable short-term curative effect, repeatable operation, low recurrence rate of oral hemorrhage and low incidence of complications, emergency endovascular embolization can be used in the clinical therapy and application of oral hemorrhage caused by carcinoma.
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Affiliation(s)
- F Tang
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, & Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou 450052, China
| | - P F Chen
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, & Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou 450052, China
| | - F Z Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, & Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou 450052, China
| | - D L Kuang
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, & Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou 450052, China
| | - J X Wang
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, & Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou 450052, China
| | - L Wan
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, & Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou 450052, China
| | - X W Han
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, & Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou 450052, China
| | - J Z Ren
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, & Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou 450052, China
| | - X H Duan
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, & Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou 450052, China
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Zhan X, Zhao A, Wu B, Yang Y, Wan L, Tan P, Huang J, Lu Y. A novel compound heterozygous mutation of MYSM1 gene in a patient with bone marrow failure syndrome 4. Br J Biomed Sci 2021; 78:239-243. [PMID: 33618624 DOI: 10.1080/09674845.2021.1894706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- X Zhan
- Department of Childhood Hematology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - A Zhao
- Department of Childhood Hematology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - B Wu
- Department of Childhood Hematology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Yang
- Department of Childhood Hematology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - L Wan
- Department of Childhood Hematology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - P Tan
- Department of Childhood Hematology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Huang
- Department of Childhood Hematology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Lu
- Department of Childhood Hematology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Wan L, Zou DH, Wang MW, Wang YH, Huang P, Li ZD, Tian ZL, Song FX, Liu NG, Chen YJ. [Research Status of Postmortem MSCT Angiography in Forensic Science]. Fa Yi Xue Za Zhi 2021; 36:820-827. [PMID: 33550731 DOI: 10.12116/j.issn.1004-5619.2020.06.012] [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] [Received: 10/08/2019] [Indexed: 11/30/2022]
Abstract
Abstract Virtual autopsy is a new technique for investigating the morphological changes of cadaveric tissues and organs by medical imaging technology. It has been widely used in the identification of causes of death. Multislice spiral computed tomography (MSCT) has become a routine inspection method in some identification institutions, although it cannot completely replace traditional autopsy, it plays a key auxiliary or substitute role in the identification of certain abnormal causes of death. Plain MSCT scan cannot visualize cadaveric vessels, but can perform cadaveric angiography to determine vascular injury or disease. This technology has entered a rapid development period in recent years, and has made a considerable progress in contrast agent, perfusion methods and imaging methods. This article summarizes several common cadaveric MSCT angiography methods, such as systemic angiography, angiography through cardiopulmonary resuscitation, targeted angiography, and angiography by cardiac puncture, and analyzes and compares the application prospects.
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Affiliation(s)
- L Wan
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.,Shanghai Public Health Clinical Center, Shanghai 201700, China
| | - D H Zou
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - M W Wang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Y H Wang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - P Huang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Z D Li
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Z L Tian
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - F X Song
- Shanghai Public Health Clinical Center, Shanghai 201700, China
| | - N G Liu
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Y J Chen
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
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Abe K, Bronner C, Hayato Y, Ikeda M, Imaizumi S, Ito H, Kameda J, Kataoka Y, Miura M, Moriyama S, Nagao Y, Nakahata M, Nakajima Y, Nakayama S, Okada T, Okamoto K, Orii A, Pronost G, Sekiya H, Shiozawa M, Sonoda Y, Suzuki Y, Takeda A, Takemoto Y, Takenaka A, Tanaka H, Yano T, Akutsu R, Han S, Kajita T, Okumura K, Tashiro T, Wang R, Xia J, Bravo-Berguño D, Labarga L, Marti L, Zaldivar B, Blaszczyk F, Kearns E, Gustafson J, Raaf J, Stone J, Wan L, Wester T, Bian J, Griskevich N, Kropp W, Locke S, Mine S, Smy M, Sobel H, Takhistov V, Weatherly P, Hill J, Kim J, Lim I, Park R, Bodur B, Scholberg K, Walter C, Coffani A, Drapier O, El Hedri S, Giampaolo A, Gonin M, Mueller T, Paganini P, Quilain B, Ishizuka T, Nakamura T, Jang J, Learned J, Anthony L, Sztuc A, Uchida Y, Berardi V, Catanesi M, Radicioni E, Calabria N, Machado L, De Rosa G, Collazuol G, Iacob F, Lamoureux M, Ospina N, Ludovici L, Nishimura Y, Cao S, Friend M, Hasegawa T, Ishida T, Kobayashi T, Matsubara T, Nakadaira T, Jakkapu M, Nakamura K, Oyama Y, Sakashita K, Sekiguchi T, Tsukamoto T, Nakano Y, Shiozawa T, Suzuki A, Takeuchi Y, Yamamoto S, Ali A, Ashida Y, Feng J, Hirota S, Ichikawa A, Kikawa T, Mori M, Nakaya T, Wendell R, Yasutome K, Fernandez P, McCauley N, Mehta P, Pritchard A, Tsui K, Fukuda Y, Itow Y, Menjo H, Niwa T, Sato K, Tsukada M, Mijakowski P, Posiadala-Zezula M, Jung C, Vilela C, Wilking M, Yanagisawa C, Harada M, Hagiwara K, Horai T, Ishino H, Ito S, Koshio Y, Ma W, Piplani N, Sakai S, Kuno Y, Barr G, Barrow D, Cook L, Goldsack A, Samani S, Simpson C, Wark D, Nova F, Boschi T, Di Lodovico F, Molina Sedgwick S, Taani M, Zsoldos S, Yang J, Jenkins S, McElwee J, Thiesse M, Thompson L, Malek M, Stone O, Okazawa H, Kim S, Yu I, Nishijima K, Koshiba M, Ogawa N, Iwamoto K, Yokoyama M, Martens K, Vagins M, Kuze M, Izumiyama S, Tanaka M, Yoshida T, Inomoto M, Ishitsuka M, Matsumoto R, Ohta K, Shinoki M, Martin J, Tanaka H, Towstego T, Hartz M, Konaka A, de Perio P, Prouse N, Pointon B, Chen S, Xu B, Richards B, Jamieson B, Walker J, Minamino A, Okamoto K, Pintaudi G, Sasaki R. Neutron-antineutron oscillation search using a 0.37 megaton-years exposure of Super-Kamiokande. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.103.012008] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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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Su S, Qiu Z, Luo C, Shi C, Wan L, Zhu Y, Li Y, Liu X, Zheng H, Liang D, Wang H. Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients. IEEE Trans Med Imaging 2021; 40:48-58. [PMID: 32886608 DOI: 10.1109/tmi.2020.3021737] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The Wave Controlled Aliasing In Parallel Imaging (Wave-CAIPI) technique manifests great potential to highly accelerate three-dimensional (3D) balanced steady-state free precession (bSSFP) through substantially reducing the geometric factor (g-factor) and aliasing artifacts of image reconstruction. However, severe banding artifacts appear in bSSFP imaging due to unbalanced gradients with nonzero 0th moment applied by the conventional Wave-CAIPI technique. In this study, we propose a 3D Wave-bSSFP scheme that adopts truncated wave gradients with zero 0th moment to avoid introducing additional banding artifacts and to maintain the advantages of wave encoding. The simulation results indicate that the number of wave cycles that are truncated and different options of applying wave gradients affect both the g-factor reduction and image quality, but the influence is limited. In phantom experiments, the proposed technique shows similar acceleration performance as the conventional Wave-CAIPI technique and effectively eliminates its introduced banding artifacts. Additionally, Wave-bSSFP obtains up to 12× retrospective acceleration at 0.8 mm isotropic resolution in in vivo 3D brain experiments and is superior to the state-of-the-art Controlled Aliasing In Parallel Imaging Results IN Higher Acceleration (CAIPIRINHA) technique, according to both visual validation and quantitative analysis. Moreover, in vivo 3D spine and abdomen imaging demonstrate the potential clinical applications of Wave-bSSFP with fast acquisition speed, improved isotropic resolution and fine image quality.
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Zhu T, Ren L, Zhang L, Shao Y, Wan L, Li Y, Liang D, Zheng H, Liu X, Zhang N. Comparison of plaque characteristics of small and large subcortical infarctions in the middle cerebral artery territory using high-resolution magnetic resonance vessel wall imaging. Quant Imaging Med Surg 2021; 11:57-66. [PMID: 33392011 DOI: 10.21037/qims-20-310] [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] [Indexed: 11/06/2022]
Abstract
Background The characteristics of plaque that ultimately lead to different subcortical infarctions remain unclear. We explored the differences in plaque characteristics between patients with small subcortical infarction (SSI) and large subcortical infarction (LSI) of the middle cerebral artery (MCA) using high-resolution magnetic resonance vessel wall imaging (HR-MRVWI). Methods The study group comprised 71 patients (mean age, 47.49±11.5 years; 55 male) with MCA territory ischemic stroke. Whole-brain HR-MRVWI was performed using a three-dimensional T1-weighted variable-flip-angle turbo spin echo (SPACE) sequence. Patients were divided into SSI and LSI groups based on routine MRI images. Plaque distribution was classified as the superior, inferior, ventral, or dorsal wall of the MCA. The number of quadrants with plaque formation, location of plaque, plaque burden (PB), arterial remodeling pattern (positive or negative), and degree of stenosis were analyzed and compared between groups. Results Of the 71 patients, 43 (60.6%) and 28 (39.4%) were identified as the SSI and LSI groups, respectively. The proportion of plaques involving only one quadrant was significantly higher in the SSI group, and these plaques were located in the superior or dorsal MCA vessel wall. There was no significant difference between groups in the proportion of plaques involving two or more quadrants, plaque distribution, or PB. Most plaques in both groups showed positive remodeling, and the percentage of remodeling pattern was similar. A significantly higher incidence of low-grade stenosis (<50%) was observed in the SSI group. Conclusions Both SSI and LSI may be associated with major intracranial artery atherosclerosis, but patients with SSI showed relatively fewer quadrants with plaque formation and a lesser degree of stenosis.
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Affiliation(s)
- Tingting Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Lijie Ren
- Department of Neurology, Shenzhen Second People's Hospital, Shenzhen, China
| | - Lei Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yinghui Shao
- Department of Neurology, Shenzhen Second People's Hospital, Shenzhen, China
| | - Liwen Wan
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ye Li
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Dong Liang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xin Liu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Na Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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Jia L, Wu X, Wan Q, Wan L, Jia W, Zhang N. Effects of artery input function on dynamic contrast-enhanced MRI for determining grades of gliomas. Br J Radiol 2020; 94:20200699. [PMID: 33332981 DOI: 10.1259/bjr.20200699] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To evaluate the effect of artery input function (AIF) derived from different arteries for pharmacokinetic modeling on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters in the grading of gliomas. METHODS 49 patients with pathologically confirmed gliomas were recruited and underwent DCE-MRI. A modified Tofts model with different AIFs derived from anterior cerebral artery (ACA), ipsilateral and contralateral middle cerebral artery (MCA) and posterior cerebral artery (PCA) was used to estimate quantitative parameters such as Ktrans (volume transfer constant) and Ve (fractional extracellular-extravascular space volume) for distinguishing the low grade glioma from high grade glioma. The Ktrans and Ve were compared between different arteries using Two Related Samples Tests (TRST) (i.e. Wilcoxon Signed Ranks Test). In addition, these parameters were compared between the low and high grades as well as between the grade II and III using the Mann-Whitney U-test. A p-value of less than 0.05 was regarded as statistically significant. RESULTS All the patients completed the DCE-MRI successfully. Sharp wash-in and wash-out phases were observed in all AIFs derived from the different arteries. The quantitative parameters (Ktrans and Ve) calculated from PCA were significant higher than those from ACA and MCA for low and high grades, respectively (p < 0.05). Despite the differences of quantitative parameters derived from ACA, MCA and PCA, the Ktrans and Ve from any AIFs could distinguish between low and high grade, however, only Ktrans from any AIFs could distinguish grades II and III. There was no significant correlation between parameters and the distance from the artery, which the AIF was extracted, to the tumor. CONCLUSION Both quantitative parameters Ktrans and Ve calculated using any AIF of ACA, MCA, and PCA can be used for distinguishing the low- from high-grade gliomas, however, only Ktrans can distinguish grades II and III. ADVANCES IN KNOWLEDGE We sought to assess the effect of AIF on DCE-MRI for determining grades of gliomas. Both quantitative parameters Ktrans and Ve calculated using any AIF of ACA, MCA, and PCA can be used for distinguishing the low- from high-grade gliomas.
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Affiliation(s)
- Lin Jia
- Department of Radiology, The First Affiliated Hospital of Xin Jiang Medical University, Urumqi, China
| | - Xia Wu
- School of Information Engineering, Wuhan University of Technology, Wuhan, China.,Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Qian Wan
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Liwen Wan
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Wenxiao Jia
- Department of Radiology, The First Affiliated Hospital of Xin Jiang Medical University, Urumqi, China
| | - Na Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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Peng LQ, Wan L, Wang MW, Li Z, Wang P, Liu TA, Wang YH, Zhao H. [Comparison of Three CNN Models Applied in Bone Age Assessment of Pelvic Radiographs of Adolescents]. Fa Yi Xue Za Zhi 2020; 36:622-630. [PMID: 33295161 DOI: 10.12116/j.issn.1004-5619.2020.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Indexed: 11/30/2022]
Abstract
Abstract Objective To compare the performance of three deep-learning models (VGG19, Inception-V3 and Inception-ResNet-V2) in automatic bone age assessment based on pelvic X-ray radiographs. Methods A total of 962 pelvic X ray radiographs taken from adolescents (481 males, 481 females) aged from 11.0 to 21.0 years in five provinces and cities of China were collected, preprocessed and used as objects of study. Eighty percent of these X ray radiographs were divided into training set and validation set with random sampling method and used for model fitting and hyper-parameters adjustment. Twenty percent were used as test sets, to evaluate the ability of model generalization. The performances of the three models were assessed by comparing the root mean square error (RMSE), mean absolute error (MAE) and Bland-Altman plots between the model estimates and the chronological ages. Results The mean RMSE and MAE between bone age estimates of the VGG19 model and the chronological ages were 1.29 and 1.02 years, respectively. The mean RMSE and MAE between bone age estimates of the Inception-V3 model and the chronological ages were 1.17 and 0.82 years, respectively. The mean RMSE and MAE between bone age estimates of the Inception-ResNet-V2 model and the chronological ages were 1.11 and 0.84 years, respectively. The Bland-Altman plots showed that the mean value of differences between bone age estimates of Inception-ResNet-V2 model and the chronological ages was the lowest. Conclusion In the automatic bone age assessment of adolescent pelvis, the Inception-ResNet-V2 model performs the best while the Inception-V3 model achieves a similar accuracy as VGG19 model.
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Affiliation(s)
- L Q Peng
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun-Yat Sen University, Guangzhou 510080, China.,Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - L Wan
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - M W Wang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Z Li
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - P Wang
- Shanghai Zhenpu Information Technology Co. Ltd., Shanghai 200444, China
| | - T A Liu
- Shanghai Zhenpu Information Technology Co. Ltd., Shanghai 200444, China
| | - Y H Wang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - H Zhao
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun-Yat Sen University, Guangzhou 510080, China
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Yan C, Fang W, Wan L, Li L, Li H, Du B, Hao S. Transfemoral-venous transcatheter access to left ventricle through the created communication of inter-ventricular septum with the assistance of arterio-venous circuit. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
During transcatheter aortic/mitral valve replacement (TA/MVR), current available routes are limited due to unfavorable entry-angle, vessel-anatomy or mini-thoracotomy. Through created communication of inter-ventricular septum (C-IVS), transfemoral venous transcatheter access to left ventricle becomes feasible with the assistance of arterio-venous circuit.
Purpose
The study was conducted to investigate the feasibility and safety of transfemoral-venous transcatheter access to left ventricle through the created C-IVS in a swine model.
Methods
Via femoral artery, transcatheter puncture of mid-IVS was performed with the custom-made nickel-titanium needle (0.038-inch, needle-tip bent 60 degrees automatically associated with increased hardness when temperature was above 30°C) and 6F-sheath in 20 healthy Chinese mini-swine. Then femoral arterio-venous circuit was established through created C-IVS with hydrophilic guidewire in all swine, and femoral veno-venous circuit was further created through C-IVS and atrial septum in 4 swine. After pre-dilation of C-IVS, a 20F-sheath was introduced into left ventricle transvenously over the guidewire. Furthermore, transfemoral-venous TAVR was attempted with this approach in one swine. C-IVS was evaluated postoperatively and was further confirmed pathologically 2 months later.
Results
All transcatheter puncture of IVS was performed successfully in left ventricle and the thickness of mid-IVS was 7.67±0.98 mm. During the puncture, ventricular fibrillation occurred in one swine (successfully defibrillation) and only isolated ventricular premature beats/non-sustained ventricular tachycardia were observed in other swine. In all swine, femoral arterio-venous/veno-venous circuit was established via C-IVS, and the 20F-sheath was introduced into left ventricle safely through femoral vein and C-IVS. With the aid of vessel circuit, the 20F-sheath was further advanced into aorta in 16 swine (the entry-angle was 145.3±12.2 degrees) and into left atrium in 4 swine. After the procedure, there was one swine with moderate tricuspid regurgitation and 5 swine with mild residual shunt (2.6±0.7 mm). In addition, epicardial coronary arteries were normal in all swine. Two months later, residual shunt was still detected in 3 swine and the communication was confirmed pathologically. In other swine, there was no defect of IVS and mild replacement-scar was identified along C-IVS. In the swine underwent transfemoral-venous TAVR, prosthetic valve was deployed successfully with good function.
Conclusions
With the aid of vessel circuit, transfemoral-venous transcatheter access to left ventricle is feasible and safe via C-IVS, and transfemoral-venous TAVR was achieved successfully using this novel approach with favorable entry-angle.
Figure 1
Funding Acknowledgement
Type of funding source: Other. Main funding source(s): National Natural Science Foundation of China
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Affiliation(s)
- C Yan
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - W Fang
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - L Wan
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - L Li
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - H Li
- Tong Ren Hospital- Capital Medical University, Beijing, China
| | - B Du
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - S Hao
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
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Yan C, Li L, Pan X, Li S, Li H, Wan L, Wang L, Fang W. Indirect evaluation of device-endothelialization with cardiac-CT after transcatheter closure of atrial septal defect: how long should antiplatelet therapy last postoperatively? Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
After transcatheter closure of atrial septal defect (ASD), it is still unclear about the in-vivo process of device-endothelialization in humans, which determines the duration of antiplatelet therapy. Based on contrast-uptake within device, cardiac-CT might have the potential to assess device-endothelialization indirectly.
Purpose
The study was conducted to investigate the status of device-endothelialization with cardiac-CT after transcatheter closure of ASD.
Methods
After more than 6 months of transcatheter ASD closure, cardiac-CT was performed in 119 patients (48M/71F; age: 46.7±14.4 years). According to contrast-uptake within device, complete or incomplete device-endothelialization was determined. In the latter, it was further divided into partial-endothelialization (with filling-defect) and no-endothelialization (without filling-defect). Multivariate logistic regression was used to determine the risk factors of incomplete device-endothelialization. In addition, device-endothelialization was analyzed grossly and histopathologically in 7 patients.
Results
During the implantation-period of 2.57±2.59 years, incomplete device-endothelialization was identified in 43.7% of patients (partial-endothelialization in 36 patients and no-endothelialization in 16 patients). Complete device-endothelialization occurred in 14.3% of patients during 0.5–1 year and 73.8% after one year. After 6-month antiplatelet therapy, migraine restarted in 15 patients with incomplete device-endothelialization and 3 patients with complete device-endothelialization. After one-year antiplatelet therapy, migraine was still detected in 4 of 15 patients with incomplete device-endothelialization. There was a significant association between high in-vivo device-thickness and incomplete device-endothelialization (P<0.001) after adjusted for confounding factors. Pathological findings from 7 patients corresponded well with cardiac-CT.
Conclusions
Cardiac-CT had the potential to evaluate the status of device-endothelialization after transcatheter closure of ASD and there was a good clinico-pathological correlation. Incomplete device-endothelialization was common postoperatively in humans and was associated with device-oversizing. Further research is required to determine the appropriate duration of antiplatelet therapy after device implantation.
Figure 1
Funding Acknowledgement
Type of funding source: Other. Main funding source(s): National Natural Science Foundation of China
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Affiliation(s)
- C Yan
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - L Li
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - X Pan
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - S Li
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - H Li
- Tong Ren Hospital- Capital Medical University, Beijing, China
| | - L Wan
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - L Wang
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - W Fang
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
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Sun WK, Bai Y, Yi MM, Wu LJ, Chen JL, Wu DM, Wu HW, Wan L, Meng Y, Zhang QL. Expression of T follicular helper lymphocytes with different subsets and analysis of serum IL-6, IL-17, TGF-β and MMP-3 contents in patients with rheumatoid arthritis. Eur Rev Med Pharmacol Sci 2020; 23:61-69. [PMID: 30657547 DOI: 10.26355/eurrev_201901_16748] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To investigate the expression levels of T follicular helper (Tfh) with different subsets in patients with rheumatoid arthritis (RA) and their serum interleukin-6 (IL-6), interleukin-17 (IL-17), transforming growth factor-β (TGF-β) and matrix metalloproteinase 3 (MMP-3) contents. PATIENTS AND METHODS The medical records of 45 RA patients in the Department of Rheumatology and Immunology in the First Affiliated Hospital of Chengdu Medical College from January 2016 to April 2018 were retrospectively analyzed. They were divided into the RA high activity group (24 cases, group A) (DAS28 score ≥ 5.0) and RA low activity group (21 cases, group B) (3.2 < DAS28 score < 5.0). At the same time, 20 healthy subjects were selected as a control group. Flow cytometry was used to detect the expression levels of Tfh1, Tfh2 and Tfh17, enzyme-linked immunosorbent assay to detect serum IL-6, IL-17, IL-21 and MMP-3 concentrations. The correlation of Tfh cells with IL-6, IL-17, IL-21 and MMP-3 was analyzed. RESULTS Those of peripheral blood mononuclear cell (PBMC) Tfh2 and Tfh17 cells were significantly higher in group A than those in group B (p < 0.05). Compared with the control group, the concentrations of serum IL-6, IL-17 and MMP-3 significantly increased (p < 0.001), but that of serum TGF-β markedly decreased in group A and group B (p < 0.01). The concentrations of serum IL-6, IL-17 and MMP-3 were remarkably higher in group A than those in group B (p < 0.001), but that of serum TGF-β was significantly lower in group A than that in group B (p < 0.001). The expression level of PBMC Tfh2 cells, PBMC Tfh17 cells was positively correlated with serum IL-6, IL-17 and MMP-3. The expression levels of Tfh2 and Tfh17 cells are positively correlated with serum IL-6, IL-17 and MMP-3 concentrations, negatively correlated with serum TGF-β concentration. CONCLUSIONS Tfh2 and Tfh17 are expected to be new targets for immunotherapy in RA patients.
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Affiliation(s)
- W-K Sun
- School of Laboratory Medicine/Sichuan Provincial Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-origin Food, Chengdu Medical College, Chengdu, P.R. China.
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Zhang N, Lyu J, Ren L, Zhang L, Fan Z, Wan L, Li Y, Liang D, Zheng H, Liu X. Arterial culprit plaque characteristics revealed by magnetic resonance Vessel Wall imaging in patients with single or multiple infarcts. Magn Reson Imaging 2020; 84:12-17. [PMID: 32534066 DOI: 10.1016/j.mri.2020.06.004] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 05/15/2020] [Accepted: 06/09/2020] [Indexed: 01/03/2023]
Abstract
PURPOSE To investigate characteristics of intra- and extracranial arterial culprit plaques between patients with single infarct and multiple-infarcts by a head-neck combined high resolution magnetic resonance vessel wall imaging (HR-MRVWI). MATERIALS AND METHODS Forty-three patients with recent ischemic stroke due to large artery atherosclerosis were enrolled. The head-neck combined HR-MRVWI was performed in all patients both pre- and post-contrast administration. Based on diffusion weighted imaging findings, patients were divided into single-infarction and multiple-infarction groups. For patients with anterior circulation ischemic stroke, they were also divided into perforating artery infarction (PAI) and non-PAI groups. Patient demographics, number and location of culprit plaques, artery stenosis percentage, intraplaque hemorrhage, and plaque enhancement were evaluated and compared between single-infarction and multiple-infarction groups, as well as between PAI and non-PAI groups. RESULTS A total of 83 culprit plaques were identified. The artery stenosis degree was more severe and plaque enhancement more prominent in multiple-infarction group than in single-infarction group. Patients with multiple infarcts also had more culprit plaques per patient than those with single infarct, which contributed to the occurrence of multiple infarcts. For comparison of PAI and non-PAI groups, a higher artery stenosis percentage was observed in non-PAI group, and patients with non-PAI had more culprit plaques per patient, which contributed to a variety of infarct manifestations. CONCLUSION A higher stenosis grade and higher number of culprit plaques seem to be associated with a higher number of cerebral infarcts in patients with large artery atherosclerosis.
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Affiliation(s)
- Na Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; CAS key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jinhao Lyu
- Department of Radiology, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Lijie Ren
- Department of Neurology, Shenzhen Second People's Hospital, Shenzhen, China
| | - Lei Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; CAS key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zhangyan Fan
- Department of Neurology, Shenzhen Second People's Hospital, Shenzhen, China
| | - Liwen Wan
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; CAS key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ye Li
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; CAS key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Dong Liang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; CAS key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; CAS key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Xin Liu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; CAS key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
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Xue FS, Liu SH, Wan L. Does preoperative contrast administration really not affect the occurrence of acute kidney injury after major gastrointestinal surgery? Br J Surg 2020; 107:e232. [PMID: 32379352 DOI: 10.1002/bjs.11622] [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: 03/06/2020] [Accepted: 03/17/2020] [Indexed: 11/11/2022]
Affiliation(s)
- F S Xue
- Department of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
| | - S H Liu
- Department of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
| | - L Wan
- Department of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
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Peng LQ, Wan L, Wang MW, Li Z, Zhao H, Wang YH. Research Progress and Prospect of Machine Learning in Bone Age Assessment. Fa Yi Xue Za Zhi 2020; 36:91-98. [PMID: 32250086 DOI: 10.12116/j.issn.1004-5619.2020.01.018] [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] [Received: 09/18/2019] [Indexed: 11/30/2022]
Abstract
Abstract Bone age assessment has always been one of the key issues and difficulties in forensic science. With the gradual development of machine learning in many industries, it has been widely introduced to imageology, genomics, oncology, pathology, surgery and other medical research fields in recent years. The reason why the above research fields can be closely combined with machine learning, is because the research subjects of the above branches of medicine belong to the computer vision category. Machine learning provides unique advantages for computer vision research and has made breakthroughs in medical image recognition. Based on the advantages of machine learning in image recognition, it was combined with bone age assessment research, in order to construct a recognition model suitable for forensic skeletal images. This paper reviews the research progress in bone age assessment made by scholars at home and abroad using machine learning technology in recent years.
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Affiliation(s)
- L Q Peng
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun-Yat Sen University, Guangzhou 510080, China
| | - L Wan
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - M W Wang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Z Li
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - H Zhao
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun-Yat Sen University, Guangzhou 510080, China
| | - Y H Wang
- Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
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Abstract
Tumor progression, including metastasis, is significantly influenced by factors in the tumor microenvironment (TME) such as mechanical force, shear stress, chemotaxis, and hypoxia. At present, most cancer studies investigate tumor metastasis by conventional cell culture methods and animal models, which are limited in data interpretation. Although patient tissue analysis, such as human patient-derived xenografts (PDX), can provide important clinical relevant information, they may not be feasible for functional studies as they are costly and time-consuming. Thus, in vitro three-dimensional (3D) models are rapidly being developed that mimic TME and allow functional investigations of metastatic mechanisms and drug responses. One of those new 3D models is tumor-on-a-chip technology that provides a powerful in vitro platform for cancer research, with the ability to mimic the complex physiological architecture and precise spatiotemporal control. Tumor-on-a-chip technology can provide integrated features including 3D scaffolding, multicellular culture, and a vasculature system to simulate dynamic flow in vivo. Here, we review a select set of recent achievements in tumor-on-a-chip approaches and present potential directions for tumor-on-a-chip systems in the future for areas including mechanical and chemical mimetic systems. We also discuss challenges and perspectives in both biological factors and engineering methods for tumor-on-a-chip progress. These approaches will allow in the future for the tumor-on-a-chip systems to test therapeutic approaches for individuals through using their cancerous cells gathered through approaches like biopsies, which then will contribute toward personalized medicine treatments for improving their outcomes.
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Affiliation(s)
- L Wan
- Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213 US.
| | - C A Neumann
- Department of Pharmacology & Chemical Biology, University of Pittsburgh Medical Center Hillman Cancer Center, Magee Womens Research Institute, 204 Craft Avenue, Pittsburgh, PA, 15213 US.
| | - P R LeDuc
- Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213 US.
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Dong HW, Sun Y, Qian H, Jian JQ, Shao Y, Li ZD, Zou DH, Liu NG, Wan L, Wang MW, Chen YJ, Zhang JH. Research Progress on Postmortem Changes of Computed Tomography Imaging Characteristics on Corpses. Fa Yi Xue Za Zhi 2019; 35:716-720. [PMID: 31970960 DOI: 10.12116/j.issn.1004-5619.2019.06.013] [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] [Received: 04/17/2019] [Indexed: 11/30/2022]
Abstract
Abstract Postmortem changes on corpses appear immediately after death, and can transform the original structure characteristics of the corpse to different degrees as well as show specific changes on computed tomography (CT) images, sometimes with false positives and false negatives, influencing the identification of injuries or diseases. This paper systematically summarizes the postmortem changes of computed tomography imaging characteristics on corpses, to further expand the application of virtopsy in the practices of forensic pathology identification, and provide reference for the identification of injuries, diseases and changes after normal death.
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Affiliation(s)
- H W Dong
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Y Sun
- Criminal Investigation Detachment of Fuzhou Public Security Bureau, Fuzhou 350011, China
| | - H Qian
- Anhui Quancheng Judicial Authentication Center, Hefei 230041, China
| | - J Q Jian
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Y Shao
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Z D Li
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - D H Zou
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - N G Liu
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - L Wan
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - M W Wang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Y J Chen
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - J H Zhang
- Shanghai Key Lab of Forensic Medicine, Key Lab of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
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Yan C, Wan L, Pan X, Li H, Li S, Song H. 4284The combined use of radiofrequency-ablation and balloon-dilation (CURB) in the creation of a stable inter-atrial communication: first-in-man use for patients with severe pulmonary arterial hypertension. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.0141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Recent preclinical research has suggested that combined use of radiofrequency-ablation and balloon-dilation (CURB) had the potential to create a stable inter-atrial communication. However, the related clinical data is still absent.
Purpose
This study describes the first-in-man use of CURB in the patients with severe pulmonary arterial hypertension (PAH).
Methods
Under the guidance of fluoroscopy and intra-cardiac echocardiography, CURB was attempted in 3 patients with severe PAH (age: 35.0±12.1 years, one idiopathic PAH and two PAH related to repaired congenital heart disease). With the aid of 3D location system, fossae ovalis was ablated with radiofrequency. Then the graded balloon-dilation was performed after transseptal puncture, and radiofrequency-ablation was repeated around the rim of fenestration created with balloon-dilation. The exercise capacity and fenestration-size were followed up.
Results
CURB was performed successfully in all 3 patients, and pulmonary vascular resistance was 30.3±10.9 Wood units. The fenestration size was 5.0±1.0 mm (range: 4–6 mm), and systemic arterial oxygen saturation decreased by 4.7±0.6% (range: 4–5%). World Health Organization functional class increased by 1.6±0.5 (P<0.001) and cardiac index increased by 0.58±0.34 L/min/m2 (P<0.001). In addition, exercise capacity improved significantly (+63.7 meters, P<0.001). Follow-up (6.0±1.0 months; range: 5–7 months) showed that all fenestrations were stable (P=0.808), and no complication occurred.
Figure 1. The combined use of radiofrequency-ablation and balloon-dilation (CURB) was performed in the patient with severe PAH. Left figures showed the procedure of CURB. Middle figures showed the created fenestration with MSCT, and the morphology and size of fenestration was provided in the right-inferior panel. In addition, the sizes of right atrium and ventricle were alleviated with increase of left atrium. Right figures indicated that the fenestration-size was stable during follow-up (one week, one month and six months, respectively).
Conclusions
In patients with severe PAH, CURB is feasible and effective to create a stable inter-atrial communication. Further research was required to evaluate the long-term result of this novel approach.
ClinicalTrials.gov ID: NCT03554330.
Acknowledgement/Funding
National Natural Science Foundation of China (81670283) and Beijing Natural Science Foundation (7162160)
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Affiliation(s)
- C Yan
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - L Wan
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - X Pan
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - H Li
- Tong Ren Hospital- Capital Medical University, Beijing, China
| | - S Li
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
| | - H Song
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Structural Heart Disease, Beijing, China
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Henke L, Cai B, Rudra S, Fischer-Valuck B, Samson P, Srivastava A, Gabani P, Roach M, Laugeman E, Luo J, Wan L, Hugo G, Kim H. Novel kV CBCT Imager on Ring Gantry Radiotherapy Unit Permits High Inter-rater Contour Uniformity. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.820] [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: 10/26/2022]
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40
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Mao H, Wang X, Fan Y, Cheng D, Chen K, Liu S, Xi S, Wan L, Li X, Ren J. Whole-genome SNP data unravel population structure and signatures of selection for black plumage of indigenous chicken breeds from Jiangxi province, China. Anim Genet 2019; 50:475-483. [PMID: 31305959 DOI: 10.1111/age.12827] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2019] [Indexed: 01/23/2023]
Abstract
Ten indigenous chicken breeds were originally distributed in Jiangxi Province, China, and they define a critical component of Chinese chicken genetic resources. We have investigated the population genetics of seven Jiangxi chicken breeds using 600K chicken BeadChip SNP data. To provide a genome-wide perspective for the population structure of all 10 Jiangxi chicken breeds, we herein genotyped 78 additional individuals from the seven breeds and 63 chickens from three uninvestigated breeds-Yugan Black (YG), Nancheng Black (NC) and Wanzai Yellow using 55K chicken SNP arrays. We then explored merged data of 17 101 SNPs from 235 individuals to infer the population structure of the 10 breeds. We showed that NC and YG are two regional populations of the same breed, as individuals from the two populations clustered together to form a branch separate from the other breeds in the neighbor-joining tree, they always grouped together in multidimensional principal component analyses and they displayed an identical pattern of ancestral lineage composition. Hence, NC and YG should be considered a single breed in the state-supported conservation scheme. Moreover, we conducted a genome scan for signatures of selection for black plumage. bayescan and hapflk analyses of two contrasting groups (three black-feathered breeds vs. six non-black-feathered breeds) consistently detected 25 putative regions under selection. Nine pigmentation- associated genes (DCT, SLC24A5, SLC30A4, MYO5A, CYP19A1, NADK2, SLC45A2, GNAQ and DCP2) reside within these regions, and these genes are interesting candidates for black plumage and provide a starting point for further identification of causative mutations for black feathers in chicken.
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Affiliation(s)
- H Mao
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - X Wang
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - Y Fan
- Department of Animal Science, Jiangxi Biotech Vocational College, Nanchang, 330200, Jiangxi, China
| | - D Cheng
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - K Chen
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - S Liu
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - S Xi
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - L Wan
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi, China
| | - X Li
- Unit of Animal Husbandry, Agricultural Bureau of Dongxiang District, Fuzhou, 331800, Jiangxi, China
| | - J Ren
- College of Animal Science, South China Agricultural University, 510642, Guangzhou, China
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Huepenbecker S, Lange S, Chin R, Wan L, Markovina S, Fuh K, Hagemann A, Kuroki L, Thaker P, Powell M, Mutch D, McCourt C. Fistula formation in cervical cancer patients treated with bevacizumab: Pharmacovigilance after GOG 240. Gynecol Oncol 2019. [DOI: 10.1016/j.ygyno.2019.04.341] [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: 11/16/2022]
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Teuho J, Han C, Riehakainen L, Honkaniemi A, Tirri M, Liljenbäck H, Virta J, Gu S, Liu S, Wan L, Teräs M, Roivainen A, Xie Q, Knuuti J. NEMA NU 4-2008 and in vivo imaging performance of RAYCAN trans-PET/CT X5 small animal imaging system. ACTA ACUST UNITED AC 2019; 64:115014. [DOI: 10.1088/1361-6560/ab1856] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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43
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Wan L, Skoko J, Yu J, Ozdoganlar OB, LeDuc PR, Neumann CA. Author Correction: Mimicking Embedded Vasculature Structure for 3D Cancer on a Chip Approaches through Micromilling. Sci Rep 2019; 9:5526. [PMID: 30918272 PMCID: PMC6437184 DOI: 10.1038/s41598-018-37927-3] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- L Wan
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, 15213, United States
| | - J Skoko
- Department of Pharmacology and Chemical Biology, University of Pittsburgh Cancer Institute, Magee Womens Research Institute, Pittsburgh, 15261, United States
| | - J Yu
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, 15213, United States
| | - O B Ozdoganlar
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, 15213, United States.,Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, 15213, United States.,Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, 15213, United States
| | - P R LeDuc
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, 15213, United States.
| | - C A Neumann
- Department of Pharmacology and Chemical Biology, University of Pittsburgh Cancer Institute, Magee Womens Research Institute, Pittsburgh, 15261, United States.
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Jian JQ, Deng DY, Wan L, Zou DH, Wang ZQ, Liu NG, Chen YJ. Characteristic Changes and 3D Virtual Measurement of Lung CT Image Parameters in the Drowning Rabbit Model. Fa Yi Xue Za Zhi 2019; 35:1-4. [PMID: 30896111 DOI: 10.12116/j.issn.1004-5619.2019.01.001] [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] [Received: 01/15/2018] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To use virtual anatomy technique in the analysis of post-mortem characteristic changes of CT images in the experimental drowning rabbit model and the related parameters in 3D virtual model, so as to explore its application value in the diagnosis of drowning in forensic pathology. METHODS A model of drowning rabbits was established, with animal models of hemorrhagic shock and mechanical asphyxia as the controls. CT scan was performed on the experimental animals, and the differences in imaging features between the groups were compared by morphological reading of the tomographic images. CT data were imported into Mimics 14.0 software for 3D modeling. The CT values and lung volumes were calculated by the software, and the differences on CT values and lung volumes brought by different causes of death were analyzed. RESULTS The CT images of lungs in the drowning group showed characteristic ground-glass opacity (diffuse and uniform density increase). There were no obvious abnormalities in hemorrhagic shock group, and only a few similar changes were found in the mechanical asphyxia group. Compared with the controls, the CT values and the lung volumes in the drowning group were significantly increased P<0.05. CONCLUSIONS Based on post-mortem lung imaging, the combination of CT value and lung volume changes can effectively reflect the virtual anatomical features in drowning, and provide a diagnostic basis for the forensic identification of drowning.
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Affiliation(s)
- J Q Jian
- Department of Forensic Medicine, Medical College of Soochow University, Suzhou 215123, Jiangsu Province, China.,Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - D Y Deng
- Water Public Security Bureau, Shanghai Public Security, Shanghai 200002, China
| | - L Wan
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - D H Zou
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Z Q Wang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - N G Liu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - Y J Chen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
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Naka T, Egi M, Bellomo R, Cole L, French C, Botha J, Wan L, Fealy N, Baldwin I. Commercial Low-citrate Anticoagulation Haemofiltration in High Risk Patients with Frequent Filter Clotting. Anaesth Intensive Care 2019; 33:601-8. [PMID: 16235478 DOI: 10.1177/0310057x0503300509] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This study assessed the safety and efficacy of a commercial low-citrate concentration-based pre-filter replacement fluid during continuous veno-venous haemofiltration (CVVH) in patients with frequent filter clotting and high risk of bleeding. We used a commercial low-citrate fluid as pre-dilution replacement fluid during CVVH (citrate: 11 mmol/l (33 meq/l), sodium: 140 mmol/l, chloride: 108 mmol/l and potassium: 1 mmol/l). A calcium and magnesium infusion was delivered separately by central line for the maintenance of serum ionized calcium (Cai) and total magnesium (Mg). In this prospective observational study, 30 patients, 124 filters and 1,515 treatment-hours were observed. Median filter life of citrate CVVH was 9.5 hours. Filter life in the 48 hours prior to citrate CVVH was also observed. In the patients on prior non-anticoagulant CVVH (n=14) filter life increased significantly with citrate (9.5 hours vs 5 hours; P<0.0001). In patients on prior heparin CVVH (n=15), filter life was similar with citrate (10 hours vs 8 hours; P=0.68). However, in patients with prior early/frequent filter clotting despite heparin (n=11) filter life increased significantly (10 hours vs 7 hours; P=0.038). Of 411 serum Cai measurements, none showed a Cai<0.85 mmol/l and, of 84 observations, none showed a serum Mg<0.6mmol/l. One patient with sepsis and shock needed to cease citrate CVVH because of progressive ionized hypocalcaemia and increasing anion gap. No other adverse effects were observed. In selected patients, CVVH with a commercial low-citrate concentration solution as pre-filter replacement fluid and a simultaneous calcium and magnesium infusion protocol appears generally safe. Filter life was acceptable and superior to that achieved with previous treatment.
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Affiliation(s)
- T Naka
- Department of Intensive Care and Medicine (University of Melbourne), Austin Hospital, Austin Health, Victoria
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Wan L, Bellomo R, May CN. A Comparison of 4% Succinylated Gelatin Solution versus Normal Saline in Stable Normovolaemic Sheep: Global Haemodynamic, Regional Blood Flow and Oxygen Delivery Effects. Anaesth Intensive Care 2019; 35:924-31. [DOI: 10.1177/0310057x0703500611] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The objective of this study was to compare the effects on regional blood flow and regional oxygen delivery of 4% succinylated gelatin solution (Gelofusine®, B. Braun) with those of normal saline. This was a randomised, controlled, crossover large animal study, which took place at the animal laboratory of university physiology institute. The subjects were seven merino cross-ewes. We implanted flow probes around the aorta, coronary, renal and mesenteric arteries. We randomised animals to observation (control), normal saline (one litre over 15 minutes) or Gelofusine* (one litre over 15 minutes). We measured central haemodynamics, organ blood flows, arterial blood gases and haemoglobin every 30 minutes for 210 minutes. Compared to control, both Gelofusine* and normal saline significantly and similarly increased mean arterial pressure, stroke volume, cardiac output and central venous pressure in the first hour (P <0.05). Such changes, however, were transient except for the increase in cardiac output seen with Gelofusine®. Normal saline significantly increased mesenteric blood flow in the first hour (P <0.05), while Gelofusine* caused a specific, sustained and progressive increase in renal blood flow and conductance (P <0.05). Both fluids increased urine output and creatinine clearance (P <0.05), but, due to haemodilution, both decreased renal oxygen delivery in the first hour (P <0.05). Normal saline and Gelofusine® have transient, volume expansion-related systemic haemodynamic effects, which are greater for Gelofusine®. Saline had a more pronounced early effect on mesenteric blood flow, while Gelofusine* had a sustained and progressive greater effect on renal blood flow. The transient increase in urine output and creatinine clearance seen with both fluids occurred while renal oxygen delivery decreased.
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Affiliation(s)
- L. Wan
- Department of Intensive Care, Austin Health and Howard Florey Institute and Department of Pharmacology, University of Melbourne, Melbourne, Victoria, Australia
- Department of Intensive Care, Austin Health
| | - R. Bellomo
- Department of Intensive Care, Austin Health and Howard Florey Institute and Department of Pharmacology, University of Melbourne, Melbourne, Victoria, Australia
- Director of Intensive Care Research, Department of Intensive Care, Austin Health
| | - C. N. May
- Department of Intensive Care, Austin Health and Howard Florey Institute and Department of Pharmacology, University of Melbourne, Melbourne, Victoria, Australia
- Howard Florey Institute, University of Melbourne
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Wan L, Powell-Palm MJ, Clemens MG, Rubinsky B. Time-dependent Effects of Pressure during Preservation of Rat Hearts in an Isochoric System at Subfreezing Temperatures. Cryo Letters 2019; 40:64-70. [PMID: 30955033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
BACKGROUND Isochoric freezing systems enable ice-free preservation of biological matter at subfreezing temperatures under the increased hydrostatic pressure. OBJECTIVE To examine the effects of pressure and exposure period on rat hearts preserved in an isochoric chamber. MATERIALS AND METHODS Rat hearts were preserved in the UW solution in isochoric chambers at temperatures from -2°C to -8°C and pressure from the atmospheric level to 78 MPa for up to eight hours, with and without the addition of glycerol. Hearts were evaluated via Langendorff perfusion and HE histology. RESULTS Hearts were compromised quickly as pressure increased, suggesting an acute time-pressure sensitivity. With the addition of 1 M glycerol, which reduces the pressure experienced at a given temperature, the survival time at -4°C was doubled. CONCLUSION The enhanced hydrostatic pressure encountered during isochoric preservation yields time-dependent negative effects on the heart, which can potentially be alleviated by the addition of a cryoprotectant.
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Affiliation(s)
- L Wan
- Department of Cardiovascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Mechanical Engineering & Department of Bioengineering, University of California, Berkeley, USA
| | - M J Powell-Palm
- Department of Mechanical Engineering & Department of Bioengineering, University of California, Berkeley, USA.
| | - M G Clemens
- Department of Biological Sciences, University of North Carolina, Charlotte, USA
| | - B Rubinsky
- Department of Mechanical Engineering & Department of Bioengineering, University of California, Berkeley, USA
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Zhuo PP, Wang MW, Yu XY, Wan L, Tan SL, Chen JM, Xia WT. Assessment of the Original Height of L 1~2 after Vertebral Compression Fracture. Fa Yi Xue Za Zhi 2018; 34:359-362. [PMID: 30465398 DOI: 10.12116/j.issn.1004-5619.2018.04.003] [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] [Received: 05/02/2017] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To explore the assessment method of original height of L1-2 after vertebral compression fracture and its application value in forensic clinical practice. METHODS A total of 154 normal thoracic and lumbar X-ray films were collected, and 140 cases were used as experimental group while 14 cases as validation group. The heights of anterior (Ha) and posterior (Hp) vertebral body of T₁₂-L₃ vertebrae in each X-ray image were measured. In the experimental group, the correlation analysis between HaL₁ and HaT₁₂, HpT₁₂, HpL₁, HaL₂ and HpL₂ was carried out, and regression equation was established via fitting. The correlation analysis between HaL₂ and HaL₁, HpL₁, HpL₂, HaL₃, HpL₃ was performed, and the regression equation was also established via fitting. The difference between the predicted and measured values of HaL₁ and HaL₂ in validation group was compared. RESULTS In the 140 normal subjects, HaL₁ (y₁) was well correlated with HaT₁₂ (x₁) and HaL₂(x₂), and the multiple linear regression equation was y₁=2.545+0.423 x₁+0.486 x₂ (determining coefficient R²=0.712, P<0.05; F=169.206, P<0.05). There was no significant difference between the predicted and actual measured values of HaL₁ in the validation group ( P>0.05). HaL₂ (y₂) was well correlated with HaL₁ (x₃) and HaL₃ (x₄), and the multiple linear regression equation was y₂=4.354+0.530 x₃+0.349 x₄ (determining coefficient R²=0.689, P<0.05; F=151.575, P<0.05). There was no significant difference between the predicted and actual measured values of HaL₂ in the validation group ( P>0.05). CONCLUSIONS It is more appropriate to evaluate the original height of L₁ or L₂ single vertebrae by comparing with the height of the anterior edge of the upper and lower adjacent vertebral bodies.
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Affiliation(s)
- P P Zhuo
- Department of Forensic Medicine, Wenzhou Medical University, Wenzhou 325035, China.,Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - M W Wang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - X Y Yu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - L Wan
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
| | - S L Tan
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.,Department of Forensic Medicine, Medical College of Soochow University, Suzhou 215006, China
| | - J M Chen
- Department of Forensic Medicine, Medical College of Soochow University, Suzhou 215006, China
| | - W T Xia
- Department of Forensic Medicine, Medical College of Soochow University, Suzhou 215006, China
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Liu L, Meyer M, Wan L, Biest S, Winner B. Outcomes of Hand-Assisted versus Conventional Laparoscopic Myomectomies. J Minim Invasive Gynecol 2018. [DOI: 10.1016/j.jmig.2018.09.605] [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: 10/28/2022]
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Travieso J, Biest S, Wan L, Winner B. Rate of Urinary Tract Injury by Route of Hysterectomy for Benign Disease. J Minim Invasive Gynecol 2018. [DOI: 10.1016/j.jmig.2018.09.586] [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: 10/28/2022]
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