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Corrigendum to "Patterns of co-occurring birth defects among infants with hypospadiasˮ [J Pediatr Urol 17 (2021) 64.e1-64.e8]

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Journal of pediatric urology 2021年第4期17卷 e1页

作者： Katherine L Ludorf Renata H Benjamin Maria Luisa Navarro Sanchez Scott D McLean Hope Northrup Laura E Mitchell Peter H Langlois Mark A Canfield Angela E Scheuerle Daryl A Scott Christian P Schaaf Joseph W Ray Omobola Oluwafemi Han Chen Michael D Swartz Philip J Lupo A J Agopian Department of Epidemiology Human Genetics and Environmental Sciences UTHealth School of Public Health Houston TX USA. Clinical Genetics Section The Children's Hospital of San Antonio San Antonio TX USA. Department of Pediatrics Division of Medical Genetics McGovern Medical School University of Texas Health Science Center at Houston Houston TX USA. Birth Defects Epidemiology and Surveillance Branch Texas Department of State Health Services Austin TX USA. Department of Pediatrics Division of Genetics and Metabolism University of Texas Southwestern Medical Center Dallas TX USA. Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA Department of Molecular Physiology and Biophysics Baylor College of Medicine Houston TX USA. Jan and Dan Duncan Neurological Research Institute Texas Children's Hospital Houston TX USA Heidelberg University Institute of Human Genetics Heidelberg Germany. Department of Pediatrics Division of Medical Genetics and Metabolism University of Texas Medical Branch Galveston TX USA. Department of Epidemiology Human Genetics and Environmental Sciences UTHealth School of Public Health Houston TX USA Center for Precision Health UTHealth School of Public Health and UTHealth School of Biomedical Informatics Houston TX USA. Department of Biostatistics and Data Science UTHealth School of Public Health Houston TX USA. Department of Pediatrics Section of Hematology-Oncology Baylor College of Medicine Houston TX USA. Department of Epidemiology Human Genetics and Environmental Sciences UTHealth School of Public Health Houston TX USA. Electronic address: a.j.agopian@uth.tmc.edu.

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A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer's disease (Sep, 10.1038/s41588-021-00921-z, 2021)

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NATURE GENETICS 2022年第7期54卷 1062-1062页

作者： Wightman, Douglas P. Jansen, Iris E. Savage, Jeanne E. Shadrin, Alexey A. Bahrami, Shahram Holland, Dominic Rongve, Arvid Borte, Sigrid Winsvold, Bendik S. Drange, Ole Kristian Martinsen, Amy E. Skogholt, Anne Heidi Willer, Cristen Brathen, Geir Bosnes, Ingunn Nielsen, Jonas Bille Fritsche, Lars G. Thomas, Laurent F. Pedersen, Linda M. Gabrielsen, Maiken E. Johnsen, Marianne Bakke Meisingset, Tore Wergeland Zhou, Wei Proitsi, Petroula Hodges, Angela Dobson, Richard Velayudhan, Latha Heilbron, Karl Auton, Adam Sealock, Julia M. Davis, Lea K. Pedersen, Nancy L. Reynolds, Chandra A. Karlsson, Ida K. Magnusson, Sigurdur Stefansson, Hreinn Thordardottir, Steinunn Jonsson, Palmi V. Snaedal, Jon Zettergren, Anna Skoog, Ingmar Kern, Silke Waern, Margda Zetterberg, Henrik Blennow, Kaj Stordal, Eystein Hveem, Kristian Zwart, John-Anker Athanasiu, Lavinia Selnes, Per Saltvedt, Ingvild Sando, Sigrid B. Ulstein, Ingun Djurovic, Srdjan Fladby, Tormod Aarsland, Dag Selbaek, Geir Ripke, Stephan Stefansson, Kari Andreassen, Ole A. Posthuma, Danielle Department of Complex Trait Genetics Center for Neurogenomics and Cognitive Research Amsterdam Neuroscience VU Amsterdam Amsterdam the Netherlands Department of Child and Adolescent Psychiatry and Pediatric Psychology Section Complex Trait Genetics Amsterdam Neuroscience Vrije Universiteit Medical Center Amsterdam University Medical Center Amsterdam the Netherlands NORMENT Centre University of Oslo Oslo Norway Institute of Clinical Medicine University of Oslo Oslo Norway Division of Mental Health and Addiction Oslo University Hospital Oslo Norway Research and Communication Unit for Musculoskeletal Health (FORMI) Department of Research Innovation and Education Division of Clinical Neuroscience Oslo University Hospital Oslo Norway K. G. Jebsen Center for Genetic Epidemiology Department of Public Health and Nursing Faculty of Medicine and Health Sciences Norwegian University of Science and Technology Trondheim Norway Department of Research Innovation and Education Division of Clinical Neuroscience Oslo University Hospital Oslo Norway Department of Neurology Akershus University Hospital Lørenskog Norway Department of Geriatric Medicine Oslo University Hospital Oslo Norway Norwegian National Advisory Unit on Ageing and Health Vestfold Hospital Trust Tønsberg Norway Department of Neurosciences University of California San Diego La Jolla CA USA Department of Research and Innovation Helse Fonna Haugesund Hospital Haugesund Norway The University of Bergen Institute of Clinical Medicine (K1) Bergen Norway Department of Neurology Oslo University Hospital Oslo Norway Department of Clinical and Molecular Medicine Norwegian University of Science and Technology Trondheim Norway Department of Internal Medicine Division of Cardiovascular Medicine University of Michigan Ann Arbor MI USA Department of Epidemiology Research Statens Serum Institut Copenhagen Denmark HUNT Research Center Department of Public Health and Nursing Faculty of Medicine and Health Scien

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Host galaxy magnitude of OJ 287 from its colours at minimum light

arXiv

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arXiv 2022年

作者： Valtonen, Mauri J. Dey, Lankeswar Zola, S. Ciprini, S. Kidger, M. Pursimo, T. Gopakumar, A. Matsumoto, K. Sadakane, K. Caton, D.B. Nilsson, K. Komossa, S. Bagaglia, M. Baransky, A. Boumis, P. Boyd, D. Castro-Tirado, A.J. Debski, B. Drozdz, M. Escartin Pérez, A. Fiorucci, M. Garcia, F. Gazeas, K. Ghosh, S. Godunova, V. Gomez, J.L. Gredel, R. Grupe, D. Haislip, J.B. Henning, T. Hurst, G. Janík, J. Kouprianov, V.V. Lehto, H. Liakos, A. Mathur, S. Mugrauer, M. Naves Nogues, R. Nucciarelli, G. Ogloza, W. Ojha, D.K. Pajdosz-Śmierciak, U. Pascolini, S. Poyner, G. Reichart, D.E. Rizzi, N. Roncella, F. Sahu, D.K. Sillanpää, A. Simon, A. Siwak, M. Soldán Alfaro, F.C. Sonbas, E. Tosti, G. Vasylenko, V. Webb, J.R. Zielinski, P. Finnish Centre for Astronomy with ESO University of Turku Finland Tuorla Observatory Department of Physics and Astronomy University of Turku Finland Department of Astronomy and Astrophysics Tata Institute of Fundamental Research Mumbai400005 India Astronomical Observatory Jagiellonian University ul. Orla 171 KrakowPL-30-244 Poland Mt Suhora Observatory Pedagogical University ul. Podchorazych 2 KrakowPL-30-084 Poland Space Science Data Center - Agenzia Spaziale Italiana via del Politecnico snc RomaI-00133 Italy Instituto Nazionale di Fisica Nucleare Sezione di Perugia PerugiaI-06123 Italy European Space Agency European Space Astronomy Centre Villanueva de la Cañada Madrid28691 Spain Nordic Optical Telescope Apartado 474 Santa Cruz de La PalmaE-38700 Spain Astronomical Institute Osaka Kyoiku University 4-698 Asahigaoka Kashiwara Osaka582-8582 Japan Dark Sky Observatory Department of Physics and Astronomy Appalachian State University BooneNC28608 United States Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 BonnD-53121 Germany Physics Department University of Perugia via A. Pascoli Perugia06123 Italy Astronomical Observatory of Taras Shevshenko National University of Kyiv Observatorna str. 3 Kyiv04053 Ukraine Institute for Astronomy Astrophysics Space Applications and Remote Sensing National Observatory of Athens Metaxa & Vas. Pavlou St. Penteli AthensGR-15236 Greece BAA Variable Star Section West Challow Observatory OX12 9TX United Kingdom P.O. Box 03004 GranadaE-18080 Spain Aritz Bidea No 8 4B Mungia Bizkaia 48100 Spain Asturias Valdés 33780 Spain Section of Astrophysics Astronomy and Mechanics Department of Physics National and Kapodistrian University of Athens Zografos AthensGR-15784 Greece ICAMER Observatory of NASU 27 Acad. Zabolotnoho str. Kyiv03143 Ukraine Max Planck Institute for Astronomy Koenigstuhl 17 Heidelberg D-69117 Germany Dept. of Physics Earth Science and Space System Engineering Morehe

OJ 287 is a BL Lacertae type quasar in which the active galactic nucleus (AGN) outshines the host galaxy by an order of magnitude. The only exception to this may be at minimum light when the AGN activity is so low that the host galaxy may make quite a considerable contribution to the photometric intensity of the source. Such a dip or a fade in the intensity of OJ 287 occurred in November 2017, when its brightness was about 1.75 magnitudes lower than the recent mean level. We compare the observations of this fade with similar fades in OJ 287 observed earlier in 1989, 1999, and 2010. It appears that there is a relatively strong reddening of the B−V colours of OJ 287 when its V-band brightness drops below magnitude 17. Similar changes are also seen V−R, V−I, and R−I colours during these deep fades. These data support the conclusion that the total magnitude of the host galaxy is V = 18.0 ± 0.3, corresponding to MK = −26.5 ± 0.3 in the K-band. This is in agreement with the results, obtained using the integrated surface brightness method, from recent surface photometry of the host. These results should encourage us to use the colour separation method also in other host galaxies with strongly variable AGN nuclei. In the case of OJ 287, both the host galaxy and its central black hole are among the biggest known, and its position in the black hole mass-galaxy mass diagram lies close to the mean correlation. © 2022, CC BY.

关键词： Color

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159 Dermoscopy versus videocapillaroscopy in the assessment of nailfold capillaroscopy images in patients with systemic sclerosis and healthy controls

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Rheumatology 2018年第SUPPL_3期57卷

作者： Dinsdale, Graham Peytrignet, Sebastien Moore, Tonia Berks, Michael Roberts, Christopher Manning, Joanne Allen, John Anderson, Marina Cutolo, Maurizio Hesselstrand, Roger Howell, Kevin Pizzorni, Carmen Smith, Vanessa Sulli, Alberto Wildt, Marie Taylor, Christopher Murray, Andrea Herrick, Ariane Centre for Musculoskeletal Research University of Manchester Salford Royal Hospital NHS Foundation Trust MAHSC Manchester UNITED KINGDOM Centre for Imaging Sciences Division of Informatics Imaging & Data Sciences University of Manchester Manchester UNITED KINGDOM Centre for Biostatistics Division of Population Health Health Services Research & Primary Care University of Manchester Manchester UNITED KINGDOM Microvascular Diagnostics Northern Medical Physics and Clinical Engineering Freeman Hospital Newcastle-upon-Tyne UNITED KINGDOM Institute of Ageing and Chronic Disease University of Liverpool Liverpool UNITED KINGDOM Research Laboratory and Academic Division of Clinical Rheumatology Department of Internal Medicine University of Genova Genova ITALY Department of Clinical Sciences Section of Rheumatology Lund University Lund SWEDEN Institute of Immunity and Transplantation University College London Royal Free Campus London UNITED KINGDOM Research Laboratory and Academic Division of Clinical Rheumatology Dept. Internal Medicine University of Genova Genova ITALY Department of Rheumatology Ghent University Hospital Faculty of Internal Medicine Ghent University Ghent BELGIUM Research Laboratory and Academic Division of Clinical Rheumatology Dept. Internal Medicine University of Genova Manchester ITALY NIHR Manchester Musculoskeletal Biomedical Research Centre Central Manchester NHS Foundation Trust Manchester Academic Health Science Centre Manchester UNITED KINGDOM

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Author Correction: A multi-ancestry genetic study of pain intensity in 598,339 veterans

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Nature medicine 2024年第7期30卷 2088页

作者： Sylvanus Toikumo Rachel Vickers-Smith Zeal Jinwala Heng Xu Divya Saini Emily E Hartwell Mirko Pavicic Kyle A Sullivan Ke Xu Daniel A Jacobson Joel Gelernter Christopher T Rentsch Eli Stahl Martin Cheatle Hang Zhou Stephen G Waxman Amy C Justice Rachel L Kember Henry R Kranzler Mental Illness Research Education and Clinical Center Crescenz VAMC Philadelphia PA USA. Department of Psychiatry University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Department of Epidemiology and Environmental Health University of Kentucky College of Public Health Lexington KY USA. Biosciences Division Oak Ridge National Laboratory Oak Ridge TN USA. Veterans Affairs Connecticut Healthcare System West Haven CT USA. Department of Psychiatry Yale University School of Medicine New Haven CT USA. Department of Medicine Yale University School of Medicine New Haven CT USA. London School of Hygiene & Tropical Medicine London UK. Regeneron Genetics Center Tarrytown NY USA. Section of Biomedical Informatics and Data Science Yale University School of Medicine New Haven CT USA. Department of Neurology Yale University School of Medicine New Haven CT USA. Yale University School of Public Health New Haven CT USA. Mental Illness Research Education and Clinical Center Crescenz VAMC Philadelphia PA USA. kranzler@pennmedicine.upenn.edu. Department of Psychiatry University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. kranzler@pennmedicine.upenn.edu.

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Diabetic foot ulcers segmentation challenge report: Benchmark and analysis

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Medical image analysis 2024年 94卷 103153页

作者： Moi Hoon Yap Bill Cassidy Michal Byra Ting-Yu Liao Huahui Yi Adrian Galdran Yung-Han Chen Raphael Brüngel Sven Koitka Christoph M Friedrich Yu-Wen Lo Ching-Hui Yang Kang Li Qicheng Lao Miguel A González Ballester Gustavo Carneiro Yi-Jen Ju Juinn-Dar Huang Joseph M Pappachan Neil D Reeves Vishnu Chandrabalan Darren Dancey Connah Kendrick Department of Computing and Mathematics Manchester Metropolitan University John Dalton Building Chester Street Manchester M1 5GD United Kingdom Lancashire Teaching Hospitals NHS Trust Preston PR2 9HT United Kingdom. Electronic address: m.yap@mmu.ac.uk. Department of Computing and Mathematics Manchester Metropolitan University John Dalton Building Chester Street Manchester M1 5GD United Kingdom. Institute of Fundamental Technological Research Polish Academy of Sciences Warsaw Poland RIKEN Center for Brain Science Wako Japan. Department of Computer Science National Tsing Hua University No. 101 Section 2 Kuang-Fu Road Hsinchu Taiwan. West China Biomedical Big Data Center West China Hospital Sichuan University Chengdu China. BCN Medtech Universitat Pompeu Fabra Barcelona Spain AIML University of Adelaide Australia. Institute of Electronics National Yang Ming Chiao Tung University No. 1001 University Road Hsinchu 300 Taiwan. Department of Computer Science University of Applied Sciences and Arts Dortmund (FH Dortmund) Emil-Figge-Str. 42 44227 Dortmund Germany Institute for Medical Informatics Biometry and Epidemiology (IMIBE) University Hospital Essen Zweigertstr. 37 45130 Essen Germany Institute for Artificial Intelligence in Medicine (IKIM) University Hospital Essen Girardetstr. 2 45131 Essen Germany. Institute for Artificial Intelligence in Medicine (IKIM) University Hospital Essen Girardetstr. 2 45131 Essen Germany Institute of Diagnostic and Interventional Radiology and Neuroradiology University Hospital Essen Hufelandstr. 55 45147 Essen Germany. Institute for Medical Informatics Biometry and Epidemiology (IMIBE) University Hospital Essen Zweigertstr. 37 45130 Essen Germany. West China Biomedical Big Data Center West China Hospital Sichuan University Chengdu China Shanghai Artificial Intelligence Laboratory Shanghai China. School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China BCN Medtech Universit

Monitoring the healing progress of diabetic foot ulcers is a challenging process. Accurate segmentation of foot ulcers can help podiatrists to quantitatively measure the size of wound regions to assist prediction of healing status. The main challenge in this field is the lack of publicly available manual delineation, which can be time consuming and laborious. Recently, methods based on deep learning have shown excellent results in automatic segmentation of medical images, however, they require large-scale datasets for training, and there is limited consensus on which methods perform the best. The 2022 Diabetic Foot Ulcers segmentation challenge was held in conjunction with the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention, which sought to address these issues and stimulate progress in this research domain. A training set of 2000 images exhibiting diabetic foot ulcers was released with corresponding segmentation ground truth masks. Of the 72 (approved) requests from 47 countries, 26 teams used this data to develop fully automated systems to predict the true segmentation masks on a test set of 2000 images, with the corresponding ground truth segmentation masks kept private. Predictions from participating teams were scored and ranked according to their average Dice similarity coefficient of the ground truth masks and prediction masks. The winning team achieved a Dice of 0.7287 for diabetic foot ulcer segmentation. This challenge has now entered a live leaderboard stage where it serves as a challenging benchmark for diabetic foot ulcer segmentation.

关键词： Convolutional neural networks Deep learning Diabetic foot ulcers Metrics Segmentation

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THE ARCTIC

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Bulletin of the American Meteorological Society 2024年第8期105卷 S277-S330页

作者： Druckenmiller, M.L. Thoman, R.L. Moon, T.A. National Snow and Ice Data Center Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Boulder Colorado International Arctic Research Center University of Alaska Fairbanks Fairbanks Alaska National Snow and Ice Data Center Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Colorado Section for Glaciers Ice and Snow Norwegian Water Resources and Energy Directorate Oslo Norway School of Informatics Computing and Cyber Systems Northern Arizona University Flagstaff Arizona Biospherical Instruments Inc. San Diego California Geophysical Institute University of Alaska Fairbanks Fairbanks Alaska Plant Soils and Climate Department Utah State University Logan Utah Norwegian Institute for Nature Research Trondheim Norway FRAM – High North Research Centre for Climate and the Environment Tromsø Norway Geological Survey of Denmark and Greenland (GEUS) Copenhagen Denmark NOAA/NWS Alaska Region Anchorage Alaska Alaska Native Tribal Health Consortium Anchorage Alaska Geological Survey of Canada Natural Resources Canada Ottawa Canada NOAA Chemical Sciences Laboratory Boulder Colorado Arctic Geophysics Department University Centre in Svalbard Longyearbyen Norway Geology Department University Centre in Svalbard Longyearben Norway Centre National de Recherches Météorologiques Météo-France/CNRS Toulouse France Climate Research Division Environment and Climate Change Canada Toronto Canada Norwegian Polar Institute Fram Centre Tromsø Norway Danish Meteorological Institute Copenhagen Denmark Department of Physics University of Toronto Toronto Canada Department of Environmental Sciences University of Virginia Charlottesville Virginia Department of Geographical Sciences University of Maryland College Park Maryland University of Liège Liège Belgium Environment and Climate Change Canada Toronto Canada Northern Rocky Mountain Science Center U.S. Geological Survey Bozeman Montana Arctic C

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The eleven-item Alcohol, Smoking and Substance Involvement Screening Test (ASSIST-11): Cross-cultural psychometric evaluation across 42 countries

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Journal of Psychiatric Research 2023年第1期165卷 16-27页

作者： Lee, Chih-Ting Lin, Chung-Ying Koós, Mónika Nagy, Léna Kraus, Shane W. Demetrovics, Zsolt Potenza, Marc N. Ballester-Arnal, Rafael Batthyány, Dominik Bergeron, Sophie Billieux, Joël Burkauskas, Julius Cárdenas-López, Georgina Carvalho, Joana Castro-Calvo, Jesús Chen, Lijun Ciocca, Giacomo Corazza, Ornella Csako, Rita I. Fernandez, David P. Fernandez, Elaine F. Fujiwara, Hironobu Fuss, Johannes Gabrhelík, Roman Gewirtz-Meydan, Ateret Gjoneska, Biljana Gola, Mateusz Grubbs, Joshua B. Hashim, Hashim T. Islam, Md. Saiful Ismail, Mustafa Jiménez-Martínez, Martha Jurin, Tanja Kalina, Ondrej Klein, Verena Költő, András Lee, Sang-Kyu Lewczuk, Karol Lochner, Christine López-Alvarado, Silvia Lukavská, Kateřina Mayta-Tristán, Percy Milea, Ionut Miller, Dan J. Orosová, Oľga Orosz, Gábor Ponce, Fernando P. Quintana, Gonzalo R. Garzola, Gabriel C.Quintero Ramos-Diaz, Jano Rigaud, Kévin Rousseau, Ann Scanavino, Marco De Tubino Schulmeyer, Marion K. Sharan, Pratap Shibata, Mami Shoib, Sheikh Sigre-Leirós, Vera Sniewski, Luke Spasovski, Ognen Steibliene, Vesta Stein, Dan J. Strizek, Julian Ünsal, Berk C. Vaillancourt-Morel, Marie-Pier Van Hout, Marie Claire Bőthe, Beáta Department of Family Medicine National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan Institute of Allied Health Sciences College of Medicine National Cheng Kung University Tainan Taiwan Biostatistics Consulting Center National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan Doctoral School of Psychology ELTE Eötvös Loránd University Budapest Hungary Institute of Psychology ELTE Eötvös Loránd University Budapest Hungary Department of Psychology University of Nevada Las Vegas Las Vegas NV United States Centre of Excellence in Responsible Gaming University of Gibraltar Gibraltar Gibraltar Yale University School of Medicine New Haven CT United States Connecticut Council on Problem Gambling Wethersfield CT United States Departmento de Psicología Básica Clínica y Psicobiología University Jaume I of Castellón Spain Institute for Behavioural Addictions Sigmund Freud University Vienna Austria Département de Psychologie Université de Montréal Montréal Canada Institute of Psychology University of Lausanne Lausanne Switzerland Center for Excessive Gambling Addiction Medicine Lausanne University Hospitals (CHUV) Lausanne Switzerland Laboratory of Behavioral Medicine Neuroscience Institute Lithuanian University of Health Sciences Lithuania Virtual Teaching and Cyberpsychology Laboratory School of Psychology National Autonomous University of Mexico Mexico William James Center for Research Departamento de Educação e Psicologia Universidade de Aveiro CPUP: Center for Psychology at Porto University Aveiro Portugal Department of Personality Assessment and Psychological Treatments University of Valencia Spain Department of Psychology College of Humanity and Social Science Fuzhou University China Section of Sexual Psychopathology Department of Dynamic and Clinical Psychology and Health Studies Sapienza University of Rome Rome Italy Department of Clinical Pharmaceuti

The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) is an instrument to screen substance-use-related health risks. However, little is known whether the ASSIST could be further shortened while remaining psychometrically sound across different countries, languages, gender identities, and sexual-orientation-based groups. The study aimed to validate a shortened 11-item ASSIST (ASSIST-11). Using the International Sex Survey data, 82,243 participants (M _age = 32.39 years) across 42 countries and 26 languages completed questions from the ASSIST-11 regarding gender identity, sexual orientation, and other information. Confirmatory factor analysis (CFA) and multigroup CFA (MGCFA) evaluated the ASSIST-11's structure and tested measurement invariance across groups. Cronbach's α and McDonald's ω were used to examine the internal consistency. Cohen's d and independent t-tests were used to examine known-group validity. The ASSIST-11 was unidimensional across countries, languages, age groups, gender identities (i.e., men, women, and gender-diverse individuals), and sexual orientations (i.e., heterosexual and sexual minority individuals). Cronbach's α was 0.63 and McDonald's ω was 0.68 for the ASSIST-11. Known-group validity was supported by Cohen's d (range between 0.23 and 0.40) with significant differences (p-values<0.001). The ASSIST-11 is a modified instrument with a unidimensional factor structure across different languages, age groups, countries, gender identities, and sexual orientations. The low internal consistency of the ASSIST-11 might be acceptable as it assesses a broad concept (i.e., use of several different substances). Healthcare providers and researchers may use the ASSIST-11 to quickly assess substance-use information from general populations and evaluate the need to follow up with more detailed questions about substance use. © 2023 Elsevier Ltd

关键词： Addictive behaviors Cross-cultural study Factor structure Measurement invariance Psychometrics

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Allogeneic Hematopoietic Cell Transplantation (HCT) Vs. Non-HCT Consolidation Therapies in Acute Myeloid Leukemia (AML) Patients 60-75 Years of Age in First Complete Remission (CR1): An Alliance (A151509), SWOG, ECOG-ACRIN and CIBMTR Study

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Blood 2018年 132卷 2170-2170页

作者： Celalettin Ustun Jennifer Le-Rademacher Hai-Lin Wang Megan Othus Zhuoxin Sun Brittny Major Mei-Jie Zhang Elizabeth Storrick Jacqueline M Lafky Selina Chow Krzysztof Mrózek Eyal C. Attar Clara D. Bloomfield Larry D Cripe Richard A. Larson Guido Marcucci Gail J. Roboz Geoffrey L. Uy Richard M. Stone Aminah Jatoi Andrew S Artz Blood and Marrow Transplant Program University of Minnesota Minneapolis MN Dept of Biomedical Statistics and Informatics Mayo Clinic Rochester MN CIBMTR (Center for International Blood and Marrow Transplant Research) Department of Medicine Medical College of Wisconsin Milwaukee WI Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle Harvard T.H. Chan School of Public Health Boston Department of Health Sciences Research Mayo Clinic Rochester Alliance Statistics and Data Center Mayo Clinic Rochester MN Mayo Clinic Rochester University of Chicago Comprehensive Cancer Center Chicago The Ohio State University Comprehensive Cancer Center Columbus OH Massachusetts General Hospital Boston Agios Pharmaceuticals Inc. Cambridge MA Comprehensive Cancer Center The Ohio State University Columbus OH Indiana University Simon Cancer Center Indianapolis Department of Medicine and Comprehensive Cancer Center University of Chicago Chicago IL Department of Hematological Malignancies Translational Science Gehr Family Center for Leukemia Research Hematologic Malignancies and Stem Cell Transplantation Institute Beckman Research Institute City of Hope Medical Center Duarte CA Weill Cornell Medicine and The Weill Medical College of Cornell University New York NY Washington University School of Medicine Saint Louis MO Dana-Farber Cancer Institute Boston MA Department of Medicine Section of Hematology/Oncology University of Chicago Chicago IL

Introduction: The preferred post-remission therapy for older patients (pts) with AML remains uncertain. We compared outcomes for older AML pts in CR1 receiving HCT reported to the CIBMTR to older AML pts achieving CR1 on National Clinical Trials Network induction and non-HCT consolidation therapy (CT) trials. Methods: This study focused on pts 60-75 years of age treated between 2004 to 2013. CT pts (n=211) underwent induction and consolidation on Alliance for Clinical Trials in Oncology, ECOG-ACRIN or SWOG clinical trials for initial therapy for newly diagnosed AML; the CIBMTR provided data for HCT pts (n=431). CT patients received at least one cycle of CT on study and were excluded if HCT occurred at any time. Time to event started at CR1 and pts entered at CT or HCT, respectively, using left-truncation to account for differential entry times. Results: For the CT cohort, first consolidation included standard therapy (e.g., cytarabine or a hypomethylating agent) and additional study drug (e.g., bortezomib, dasatinib, sorafenib, and Zosuquidar, gemtuzumab) or tipifarnib alone. Among HCT pts, the donor was a HLA-matched sibling or unrelated donor (URD) in 66% and the others were partially HLA-matched/mismatched URD (10%) or cord blood (24%). HCT pts were younger and more frequently had high-risk AML (high WBC, secondary AML and unfavorable cytogenetics) (Table). The median time from CR1 to HCT and CT was 3.2 and 0.5 months, respectively. Allogeneic HCT showed worse overall survival (OS) (HR=1.52, p=0.02) prior to 9 months and better OS thereafter (HR= 0.53, p <0.0001) relative to CT (figure 1A). Treatment-related mortality (TRM) was worse after HCT in the first 9 months (HR=2.8, CI: 1.5 -5.2, p =.0009), while relapse was less frequent beyond 9 months after treatment (HR = 0.42, CI: 0.29 to 0.61, p <.0001). Despite higher early TRM, HCT recipients went on to manifest superior OS [5 year OS: HCT 29% (24-34%), CT 13.8% (9 -22%)] (Figure 1A). The benefit of HCT for surviv

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The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

arXiv

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arXiv 2023年

作者： Kazerooni, Anahita Fathi Khalili, Nastaran Liu, Xinyang Haldar, Debanjan Jiang, Zhifan Anwar, Syed Muhammed Albrecht, Jake Adewole, Maruf Anazodo, Udunna Anderson, Hannah Bagheri, Sina Baid, Ujjwal Bergquist, Timothy Borja, Austin J. Calabrese, Evan Chung, Verena Conte, Gian-Marco Dako, Farouk Eddy, James Ezhov, Ivan Familiar, Ariana Farahani, Keyvan Haldar, Shuvanjan Iglesias, Juan Eugenio Janas, Anastasia Johansen, Elaine Jones, Blaise V. Kofler, Florian LaBella, Dominic Lai, Hollie Anne Van Leemput, Koen Li, Hongwei Bran Maleki, Nazanin McAllister, Aaron S. Meier, Zeke Menze, Bjoern Moawad, Ahmed W. Nandolia, Khanak K. Pavaine, Julija Piraud, Marie Poussaint, Tina Prabhu, Sanjay P. Reitman, Zachary Rodriguez, Andres Rudie, Jeffrey D. Sanchez-Montano, Mariana Shaikh, Ibraheem Salman Shah, Lubdha M. Sheth, Nakul Shinohara, Russel Taki Tu, Wenxin Viswanathan, Karthik Wang, Chunhao Ware, Jeffrey B. Wiestler, Benedikt Wiggins, Walter Zapaishchykova, Anna Aboian, Mariam Bornhorst, Miriam de Blank, Peter Deutsch, Michelle Fouladi, Maryam Hoffman, Lindsey Kann, Benjamin Lazow, Margot Mikael, Leonie Nabavizadeh, Ali Packer, Roger Resnick, Adam Rood, Brian Vossough, Arastoo Bakas, Spyridon Linguraru, Marius George Children’s Hospital of Philadelphia PhiladelphiaPA United States Department of Neurosurgery University of Pennsylvania PhiladelphiaPA United States University of Pennsylvania PhiladelphiaPA United States Sheikh Zayed Institute for Pediatric Surgical Innovation Children’s National Hospital WashingtonDC United States Department of Neurosurgery Thomas Jefferson University Hospital PA United States Sage Bionetworks United States Lab Crestview Radiology Lagos Nigeria McGill University MontrealQC Canada Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Neurosurgery The University of Southern California CA United States Department of Radiology Duke University Medical Center United States Mayo Clinic MN United States Center for Global Health Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Informatics Technical University Munich Germany TranslaTUM - Central Institute for Translational Cancer Research Technical University of Munich Germany Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD United States Biomedical Engineering Rutgers University New BrunswickNJ United States Athinoula A Martinos Center for Biomedical Imaging Massachusetts General Hospital BostonMA United States Yale University New HavenCT United States PrecisionFDA U.S. Food and Drug Administration Silver SpringMD United States Cincinnati Children’s Hospital Medical Center United States Helmholtz AI Helmholtz Munich Germany Department of Radiation Oncology Duke University Medical Center United States Department of Radiology Children’s Health Orange County CA United States Department of Applied Mathematics and Computer Science Technical University of Denmark Denmark Department of Radiol

Pediatric tumors of the central nervous system are the most common cause of cancer-related death in children. The five-year survival rate for high-grade gliomas in children is less than 20%. Due to their rarity, the diagnosis of these entities is often delayed, their treatment is mainly based on historic treatment concepts, and clinical trials require multi-institutional collaborations. The MICCAI Brain Tumor Segmentation (BraTS) Challenge is a landmark community benchmark event with a successful history of 12 years of resource creation for the segmentation and analysis of adult glioma. Here we present the CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs 2023 challenge, which represents the first BraTS challenge focused on pediatric brain tumors with data acquired across multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. The BraTS-PEDs 2023 challenge focuses on benchmarking the development of volumentric segmentation algorithms for pediatric brain glioma through standardized quantitative performance evaluation metrics utilized across the BraTS 2023 cluster of challenges. Models gaining knowledge from the BraTS-PEDs multi-parametric structural MRI (mpMRI) training data will be evaluated on separate validation and unseen test mpMRI dataof high-grade pediatric glioma. The CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs 2023 challenge brings together clinicians and AI/imaging scientists to lead to faster development of automated segmentation techniques that could benefit clinical trials, and ultimately the care of children with brain tumors. © 2023, CC BY.

关键词： Tumors

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