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2. Diagnostik des Skaphoids

Author

Andreas Eisenschenk, K. Hegenscheid, T. Kahl, K. Mutig, S. Mutze, F. K. Razny, and J. P. Benter

Subjects
Gynecology, 03 medical and health sciences, medicine.medical_specialty, 0302 clinical medicine, business.industry, Os Scaphoideum, Medicine, 030208 emergency & critical care medicine, Orthopedics and Sports Medicine, business, 030218 nuclear medicine & medical imaging
Abstract

Frakturen des Os scaphoideum sind mit 60 % die haufigsten Frakturen der Handwurzelknochen und stellen ca. 2–3 % aller Frakturen dar. Meist heilen die Frakturen bei adaquater Behandlung vollstandig aus. Bei fehlender Ruhigstellung oder nicht diagnostizierten bzw. ubersehenen Frakturen steigt die Wahrscheinlichkeit einer Pseudoarthrose im weiteren Verlauf an. Bei der initialen Rontgendiagnostik werden ca. 70–80 % der Kahnbeinfrakturen festgestellt. Um eine Fraktur sicher auszuschliesen oder zu bestatigen, sollte, bei entsprechender Klinik und negativem Rontgenbild, eine weiterfuhrende Diagnostik mittels Mehrzeilenspiral-CT (MSCT) oder MRT erfolgen, wobei der MSCT die hohere Bedeutung zukommt. Neben der Frakturbeschreibung gehort die Einteilung der Pseudoarthrosestadien ebenfalls zu den Aufgaben der MSCT. Wegweisend zur Beurteilung der Vitalitat der Fragmente ist die kontrastmittelverstarkte MRT-Untersuchung.

Published
2016
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3. Relationship betweenAPOEGenotype and Structural MRI Measures throughout Adulthood in the Study of Health in Pomerania Population-Based Cohort

Author

Hans-Jörgen Grabe, Deborah Janowitz, Jimit Doshi, Mohamad Habes, Guray Erus, Susan M. Resnick, Georg Homuth, Henry Völzke, S. Van der Auwera, Christos Davatzikos, K Hegenscheid, Jon B. Toledo, and Wolfgang Hoffmann

Subjects
Adult, Male, 0301 basic medicine, Apolipoprotein E, Pathology, medicine.medical_specialty, Genotype, Apolipoprotein E4, Physiology, genetics [Alzheimer Disease], pathology [Alzheimer Disease], Young Adult, 03 medical and health sciences, pathology [Aging], 0302 clinical medicine, Atrophy, medicine, Humans, Dementia, Radiology, Nuclear Medicine and imaging, ddc:610, Young adult, genetics [Apolipoprotein E4], Aged, Aged, 80 and over, pathology [Atrophy], medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Middle Aged, medicine.disease, Magnetic Resonance Imaging, 030104 developmental biology, genetics [Aging], Study of Health in Pomerania, Female, Neurology (clinical), Alzheimer's disease, Abnormality, business, 030217 neurology & neurosurgery, genetics [Atrophy]
Abstract

BACKGROUND AND PURPOSE: The presence of the apolipoprotein E e 4 allele is the strongest sporadic Alzheimer disease genetic risk factor. We hypothesized that apolipoprotein E e 4 carriers and noncarriers may already differ in imaging patterns in midlife. We therefore sought to identify the effect of apolipoprotein E genotype on brain atrophy across almost the entire adult age span by using advanced MR imaging–based pattern analysis. MATERIALS AND METHODS: We analyzed MR imaging scans of 1472 participants from the Study of Health in Pomerania (22–90 years of age). We studied the association among age, apolipoprotein E e 4 carrier status, and brain atrophy, which was quantified by using 2 MR imaging–based indices: Spatial Pattern of Atrophy for Recognition of Brain Aging (summarizing age-related brain atrophy) and Spatial Pattern of Abnormality for Recognition of Early Alzheimer Disease (summarizing Alzheimer disease-like brain atrophy patterns), as well as the gray matter volumes in several Alzheimer disease- and apolipoprotein E –related ROIs (lateral frontal, lateral temporal, medial frontal, and hippocampus). RESULTS: No significant association was found between apolipoprotein E e 4 carrier status and the studied ROIs or the MR imaging–based indices in linear regression models adjusted for age, sex, and education, including an interaction term between apolipoprotein E and age. CONCLUSIONS: Our study indicates that measurable apolipoprotein E –related brain atrophy does not occur in early adulthood and midlife and suggests that such atrophy may only occur more proximal to the onset of clinical symptoms of dementia.

Published
2016
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4. Techniken zur Leberfettquantifizierung bei der Risikostratifikation von Diabetikern

Author

Jens-Peter Kühn, C. Mahlke, M.C. Spoerl, and K. Hegenscheid

Subjects
Gynecology, medicine.medical_specialty, business.industry, Medicine, Radiology, Nuclear Medicine and imaging, business
Abstract

Die Fettleber scheint einen unmittelbaren Einfluss auf die Pathophysiologie des Diabetes mellitus Typ 2 zu besitzen. Zur Detektion und Quantifizierung des Leberfetts werden in der klinischen Diagnostik akkurate Verfahren gebraucht. Ein einfaches Verfahren ist die Chemical-shift-kodierte Magnetresonanztomographie (MRT). Eine suffiziente Quantifizierung von Leberfett mithilfe der Chemical-shift-kodierten MRT erfordert eine Berucksichtigung von Storvariablen, wie den T2*-Zerfall, den T1-Wiederaufbau und die multispektrale Komplexitat von Fett. Eine Korrektur aller Storvariablen wird als Proton-density-Fettfraktion bezeichnet. Diese liefert unabhangig von der verwendeten Einstellung und Hardware reproduzierbare Ergebnisse. Die korrigierte Proton-density-Fettfraktion ist ein akkurater Biomarker zur Quantifizierung von Leberfett. Die akkurate und reproduzierbare Quantifizierung von Leberfett in der MRT erfordert eine Berechnung der Proton-density-Fettfraktion.

Published
2015
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5. 53-jährige Urlauberin auf Hiddensee mit Schlangenbiss

Author

Markus M. Lerch, M. Otto, Ali A. Aghdassi, S. Bertheau, Peter Simon, K. Hegenscheid, and S. Runge

Subjects
Gynecology, medicine.medical_specialty, business.industry, Internal Medicine, Medicine, business
Abstract

Schlangenbisse sind in Deutschland selten und in den meisten Fallen ungefahrlich. Die in Deutschland am weitesten verbreitete Giftschlange ist die Kreuzotter (Vipera berus). Diese Kasuistik beschreibt den schweren Verlauf einer 53-jahrigen Frau, die von einer Kreuzotter gebissen wurde und eine ausgedehnte Weichteilbeteiligung der unteren Extremitat mit Einblutung und Rhabdomyolyse entwickelte. Ziel dieser Kasuistik ist, herauszustellen, dass selbst in einem mitteleuropaischen Land wie Deutschland Schlangenbisse einen bedrohlichen Verlauf mit Komplikationen nehmen konnen und einer umgehenden Uberwachung und Therapie bedurfen.

Published
2015
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6. Genetic Architecture of Subcortical Brain Structures in Over 40,000 Individuals Worldwide

Author

Arvin Saremi, Tomas Axelsson, Kristel R. van Eijk, Tonya White, Elena Shumskaya, Christine Macare, Christopher Chen, Neeltje E.M. van Haren, K Hegenscheid, Ingrid Melle, Benjamin S. Aribisala, Clyde Francks, Lisa R. Yanek, Konstantinos Arfanakis, Lars Nyberg, Nina Romanczuk-Seiferth, Clifford R. Jack, Thomas H. Wassink, Norman Delanty, Oscar L. Lopez, Jennifer S. Richards, Philippe Amouyel, William T. Longstreth, Michael W. Weiner, Maria J. Knol, Ralph Burkhardt, Ching-Yu Cheng, Wolfgang Hoffmann, Norbert Hosten, Alexander Teumer, Simone Reppermund, Markus M. Nöthen, Tien Yin Wong, Maria del C. Valdés Hernández, Bernd Kraemer, Murali Sargurupremraj, Amelia A. Assareh, Jessika E. Sussmann, Gabriel Cuellar-Partida, Ian J. Deary, Ganesh Chauhan, Christopher R.K. Ching, Arno Villringer, Dalia Kasperaviciute, Han G. Brunner, Srdjan Djurovic, Lachlan T. Strike, Albert V. Smith, Lars T. Westlye, Paul A. Nyquist, Bertram Müller-Myhsok, Phil Lee, Qiong Yang, Herve Lemaitre, Andreas Meyer-Lindenberg, Vidar M. Steen, Marc M. Bohlken, Rachel M. Brouwer, Charles DeCarli, Mar Matarin, Fabrice Crivello, Henry Völzke, Manuel Mattheisen, Bruno Vellas, Loes M. Olde Loohuis, Sudha Seshadri, Claudia L. Satizabal, Sebastian Mohnke, David C. Liewald, Li Shen, Kwangsik Nho, Simon E. Fisher, Deborah Janowitz, Wiro J. Niessen, Matthew J. Huentelman, Sylvane Desrivières, Ole A. Andreassen, Evan Fletcher, Christiane Wolf, Vilmundur Gudnason, Alejandro Arias-Vasquez, Charles C. White, Joshua C. Bis, Pauline Maillard, Ingrid Agartz, Oliver Grimm, Matthias Nauck, Andrew M. McIntosh, Iryna O. Fedko, Gianpiero L. Cavalleri, Andreas Heinz, Tulio Guadalupe, Andrew D. Johnson, Daan van Rooij, Thomas W. Mühleisen, Jessica A. Turner, Marieke Klein, Jia Yu Koh, Avram J. Holmes, Saud Alhusaini, Douglas N. Greve, Roberto Roiz-Santiañez, Nic J.A. van der Wee, Irina Filippi, Hans van Bokhoven, Miguel E. Rentería, Andrew J. Saykin, Marjolein M.J. van Donkelaar, Dan J. Stein, Randy L. Gollub, Sanjay M. Sisodiya, Honghuang Lin, Aaron Goldman, Patrizia Mecocci, Thomas Espeseth, Barbara Franke, Unn K. Haukvik, Theo G.M. van Erp, Venkata S. Mattay, Jonathan C Ipser, Catharina A. Hartman, Florian Holsboer, Saskia P. Hagenaars, Benedicto Crespo-Facorro, Manon Bernard, Jerome I. Rotter, Louis N. Vinke, Nastassja Koen, Vince D. Calhoun, Anders M. Dale, Dennis van der Meer, Jordan W. Smoller, Debra A. Fleischman, Janita Bralten, Hannah J. Jones, Lavinia Athanasiu, Hilleke E. Hulshoff Pol, Brenda W.J.H. Penninx, Peter R. Schofield, Roel A. Ophoff, J Wardlaw, Sven J. van der Lee, Katie L. McMahon, Esther Walton, Nicholas G. Martin, Gunter Schumann, Katharina Wittfeld, Perminder S. Sachdev, André G. Uitterlinden, Christophe Tzourio, Pieter J. Hoekstra, Roberto Toro, Henry Brodaty, Marcella Rietschel, David Ames, George Davey Smith, G. Bruce Pike, Alexa S. Beiser, Zdenka Pausova, Simon Lovestone, Robert C. Green, Greig I. de Zubicaray, Stephen M. Lawrie, Mark E. Bastin, Marco P. Boks, M. Mallar Chakravarty, Magda Tsolaki, Myriam Fornage, Nanda Rommelse, Andre F. Marquand, Anbupalam Thalamuthu, Helena Schmidt, Jason L. Stein, Bruce M. Psaty, Jan K. Buitelaar, Jean-Luc Martinot, Kazima B. Bulayeva, Henrik Walter, Xueqiu Jian, Yasaman Saba, Saima Hilal, Paul M. Thompson, Tamara B. Harris, Jaap Oosterlaan, Marie-José van Tol, Joshua L. Roffman, Bernard Mazoyer, Shuo Li, Nhat Trung Doan, Qiang Chen, John B.J. Kwok, Najaf Amin, Diana Tordesillas-Gutiérrez, Eco J. C. de Geus, Meike W. Vernooij, Andrew J. Schork, Susanne Erk, Daniel R. Weinberger, Grant W. Montgomery, Jean Shin, James T. Becker, Martine Hoogman, Philip L. De Jager, Dirk J. Heslenfeld, Derrek P. Hibar, Narelle K. Hansell, Andrew Simmons, Micael Andersson, Lucija Abramovic, Dorret I. Boomsma, Allison Stevens, Wei Wen, A. Veronica Witte, Owen Carmichael, Jayandra J. Himali, Asta Håberg, Hieab H.H. Adams, Nynke A. Groenewold, Sven Cichon, Wiepke Cahn, Lianne Schmaal, Shannon L. Risacher, Erik G. Jönsson, Shahrzad Kharabian Masouleh, Oliver Gruber, Tianye Jia, Hilkka Soininen, M. Kamran Ikram, Markus Loeffler, Philipp G. Sämann, Sungeun Kim, Jingyun Yang, Iwona Kłoszewska, Ryota Kanai, Christopher D. Whelan, Massimo Pandolfo, Dick J. Veltman, Diane M. Becker, Anouk den Braber, Hans J. Grabe, Neda Jahanshad, Yanhui Hu, Anita L. DeStefano, Beng-Choon Ho, Stephanie Le Hellard, Cornelia M. van Duijn, Georg Homuth, Tomáš Paus, Stéphanie Debette, Nicola J. Armstrong, Jouke-Jan Hottenga, Eric Westman, Tom V. Lee, Sarah E. Medland, Randy L. Buckner, Benno Pütz, Edith Hofer, Steven G. Potkin, Albert Hofman, Dennis van 't Ent, Sudheer Giddaluru, Tatiana Foroud, Guillén Fernández, John D. Eicher, Gareth E. Davies, Thomas H. Mosley, Michelle Luciano, Lenore J. Launer, Joshua W. Cheung, Markus Scholz, D. Höhn, Thomas Wolfers, Reinhold Schmidt, Arthur W. Toga, René S. Kahn, Nazanin Karbalai, Yuri Milaneschi, Margaret J. Wright, Martina Papmeyer, David A. Bennett, M. Arfan Ikram, Stefan Ehrlich, Marcel P. Zwiers, Karen A. Mather, and Joshua M. Shulman

Subjects
Candidate gene, Globus pallidus, nervous system, Putamen, Thalamus, Caudate nucleus, Synaptic signaling, Nucleus accumbens, Biology, Bioinformatics, Neuroscience, Genetic architecture
Abstract

Subcortical brain structures are integral to motion, consciousness, emotions, and learning. We identified common genetic variation related to the volumes of nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen, and thalamus, using genome-wide association analyses in over 40,000 individuals from CHARGE, ENIGMA and the UK-Biobank. We show that variability in subcortical volumes is heritable, and identify 25 significantly associated loci (20 novel). Annotation of these loci utilizing gene expression, methylation, and neuropathological data identified 62 candidate genes implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

Published
2017
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7. Novel genetic loci associated with hippocampal volume

Author

Benjamin S. Aribisala, Marjolein M.J. van Donkelaar, Randy L. Gollub, Rachel M. Brouwer, Norman Delanty, Tomas Axelsson, Oscar L. Lopez, Thomas Espeseth, Alejandro Arias-Vasquez, Kristel R. van Eijk, Tien Yin Wong, Jeroen van der Grond, Georg Homuth, James T. Becker, Sebastian Guelfi, Anton J. M. de Craen, Bruno Vellas, Christopher R.K. Ching, Charles C. DeCarli, Janita Bralten, Lars T. Westlye, Ryota Hashimoto, Sampath Arepalli, Bertram Müller-Myhsok, Loes M. Olde Loohuis, Sudha Seshadri, Simon E. Fisher, K Hegenscheid, Konstantinos Arfanakis, Zdenka Pausova, Robert C. Green, Simone Reppermund, Katie L. McMahon, Ashley Beecham, Daan van Rooij, Marcel P. Zwiers, Karen A. Mather, Randy L. Buckner, Edith Hofer, Marcella Rietschel, Fabrice Crivello, Ronald H. Zielke, G. Bruce Pike, Thomas W. Mühleisen, Myriam Fornage, Kazutaka Ohi, Gareth E. Davies, Chantal Depondt, Gabriel Cuellar-Partida, Iryna O. Fedko, Peter R. Schofield, Steven G. Potkin, Albert Hofman, Paul M. Thompson, Wiro J. Niessen, Deborah Janowitz, Nicholas G. Martin, Li Shen, Mina Ryten, Meike W. Vernooij, Michael E. Weale, Tonya White, Dennis van 't Ent, Sudheer Giddaluru, Nanda Rommelse, Wei Wen, Sven J. van der Lee, Eco J. C. de Geus, Aaron Goldman, Joanne E. Curran, Qiang Chen, Jean Shin, Wayne C. Drevets, Thomas H. Mosley, Matthias Nauck, Massimo Pandolfo, Anders M. Dale, Paul A. Nyquist, Girma Woldehawariat, Francis J. McMahon, Najaf Amin, Emma J. Rose, Norbert Hosten, David J. Stott, Sigurdur Sigursson, Andrew J. Saykin, M. Kamran Ikram, Pieter J. Hoekstra, Neda Jahanshad, Grant W. Montgomery, Michael Weiner, Aad van der Lugt, Esther Walton, Gunter Schumann, Clyde Francks, Narelle K. Hansell, Xinmin Liu, Herve Lemaitre, Cornelia M. van Duijn, Ralph L. Sacco, Clinton B. Wright, Arvin Saremi, Clifford R. Jack, Andre G. Uitterlinden, G. Donohoe, Tomáš Paus, Michael Griswold, Peter T. Fox, Alan B. Zonderman, Lukas Pirpamer, Christiane Wolf, Aiden Corvin, Shannon L. Risacher, Ian Ford, Philippe Amouyel, Henrik Walter, Beng-Choon Ho, William T. Longstreth, M. Arfan Ikram, Hieab H.H. Adams, Colin Smith, Sungeun Kim, Simon Lovestone, Stefan Ehrlich, Benno Pütz, Markus M. Nöthen, Susana Muñoz Maniega, Ian J. Deary, Elena Shumskaya, Susan H. Blanton, Jerome I. Rotter, Neeltje E.M. van Haren, Mar Matarin, I. Kloszewska, Ganesh Chauhan, Anita L. DeStefano, Barbara Franke, Lars Nyberg, Tatiana Foroud, Tianye Jia, Manon Bernard, Unn K. Haukvik, Rebecca F. Gottesman, Srdjan Djurovic, Ching-Yu Cheng, Lachlan T. Strike, Alex P. Zijdenbos, Jouke-Jan Hottenga, Vince D. Calhoun, Yuri Milaneschi, David C. Glahn, Phil Lee, Amelia A. Assareh, Adaikalavan Ramasamy, Emma Sprooten, Debra A. Fleischman, David R. McKay, J. Raphael Gibbs, Bruce M. Psaty, Kazima B. Bulayeva, Bryan J. Traynor, Vilmundur Gudnason, Jessika E. Sussmann, Alexander Teumer, Guillén Fernández, Katharina Wittfeld, Christophe Tzourio, Dennis van der Meer, Wolfgang Hoffmann, Sebastian Mohnke, David C. Liewald, Jordan W. Smoller, Theo G.M. van Erp, Marcel Van Der Brug, Dara M. Cannon, Lenore J. Launer, D. Ames, Juan C. Troncoso, Brenda W.J.H. Penninx, Dhananjay Vaidya, Thomas D. Dyer, Marie-José van Tol, Han G. Brunner, Andrew Singleton, Lavinia Athanasiu, Adam M. Brickman, Eric Westman, P. Mecocci, Sandra Barral, Dick J. Veltman, Catharina A. Hartman, Benedicto Crespo-Facorro, Alexa S. Beiser, Vincent Chouraki, Nhat Trung Doan, Marieke Klein, Jaap Oosterlaan, Natalie A. Royle, John B.J. Kwok, Saud Alhusaini, Ingrid Melle, Roberto Toro, Ravi Duggirala, Allissa Dillman, Reinhold Schmidt, Lisa R. Yanek, Anbupalam Thalamuthu, Helena Schmidt, Derrek P. Hibar, Albert V. Smith, Jean-Luc Martinot, Thomas H. Wassink, Jennifer S. Richards, Oliver Martinez, Joshua L. Roffman, Sylvane Desrivières, Hilkka Soininen, Rene L. Olvera, Ole A. Andreassen, Diana Tordesillas-Gutiérrez, Claudia L. Satizabal, Owen Carmichael, Lianne Schmaal, Bernd Kraemer, Martine Hoogman, Daniah Trabzuni, Oliver Grimm, Andrew M. McIntosh, René S. Kahn, Nazanin Karbalai, Margaret J. Wright, Harald H.H. Göring, Martina Papmeyer, Roberto Roiz-Santiañez, Luigi Ferrucci, David A. Bennett, Kwangsik Nho, Gianpiero L. Cavalleri, Andreas Meyer-Lindenberg, Masashi Ikeda, Avram J. Holmes, Greig I. de Zubicaray, Andreas Heinz, Tatjana Rundek, Maria del C. Valdés Hernández, Dalia Kasperaviciute, Dan L. Longo, Matthew J. Huentelman, Wiepke Cahn, Beverly G. Windham, Michael A. Nalls, Philipp G. Sämann, Stella Trompet, Vidar M. Steen, Marc M. Bohlken, Christopher D. Whelan, Hilleke E. Hulshoff Pol, Susanne Erk, Dorret I. Boomsma, Dirk J. Heslenfeld, Masaki Fukunaga, D. Hoehn, Stephen M. Lawrie, Mark E. Bastin, Marco P. Boks, M. Mallar Chakravarty, M. R. Cookson, C. McDonald, Magda Tsolaki, Badri N. Vardarajan, Jason L. Stein, Jan K. Buitelaar, Erik G. Jönsson, Oliver Gruber, Robert Johnson, Jingyun Yang, Joshua C. Bis, J. Wouter Jukema, Tulio Guadalupe, Nina Romanczuk-Seiferth, Kjetil Nordbø Jørgensen, Henry Brodaty, Diane M. Becker, Anouk den Braber, Allison C. Nugent, Thomas Wolfers, John Hardy, Joanna M. Wardlaw, Michelle Luciano, Christine Macare, Dena G. Hernandez, D. Morris, John Blangero, Andrew J. Schork, Daniel R. Weinberger, Johanna Hass, Andrew Simmons, Micael Andersson, Lucija Abramovic, David S. Knopman, Mark Jenkinson, Roel A. Ophoff, Sanjay M. Sisodiya, Boris A. Gutman, Asta Håberg, Stephanie Le Hellard, Stéphanie Debette, Nicola J. Armstrong, Sarah E. Medland, Hans J. Grabe, Henry Völzke, Thomas E. Nichols, Manuel Mattheisen, Sven Cichon, Venkata S. Mattay, Ingrid Agartz, Stefan Ropele, Lorna M. Lopez, Hans van Bokhoven, Philip L. De Jager, Miguel E. Rentería, Laura Almasy, Arthur W. Toga, Michael Czisch, Florian Holsboer, Ryota Kanai, Nic J.A. van der Wee, Peter Kochunov, Perminder S. Sachdev, Andre F. Marquand, Christian Enzinger, Anderson M. Winkler, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California-University of California, Metacohorts Consortium, Institut Gilbert-Laustriat : Biomolécules, Biotechnologie, Innovation Thérapeutique, Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), INSERM Research Center for Epidemiology and Biostatistics (U897) Team Neuroepidemiology, Bordeaux, France College of Health Sciences, University of Bordeaux, Bordeaux, France, sans affiliation, QIMR Berghofer Medical Research Institute, University of Washington [Seattle], Department of Psychiatry, Donders Centre for Neuroscience, Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen], Department of Human Genetics, Radboud University Medical Center [Nijmegen], Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, University Medical Center [Utrecht], Department of Neurology and Neurosurgery [Montreal], Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland (RCSI), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Sahlgrenska University Hospital [Gothenburg], Department of Biomedical Engineering, Illinois Institute of Technology (IIT), Rush University Medical Center [Chicago], University of Edinburgh, Lagos State University (LASU), Assistance Publique - Hôpitaux de Marseille (APHM), University of Oslo (UiO), Department of medical sciences, Uppsala University-Molecular Medicine-Science for Life Laboratory, John P. Hussman Institute for Human Genomics, University of Miami Leonard M. Miller School of Medicine (UMMSM), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], Neurology Department, University of California, Davis (UCDavis-Neuro), University of California [Davis] (UC Davis), Douglas Mental Health University Institute, McGill University = Université McGill [Montréal, Canada], Université Lille Nord de France (COMUE), Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Groupe d'imagerie neurofonctionnelle (GIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), MetaGenoPolis, Institut National de la Recherche Agronomique (INRA), Haukeland University Hospital, University of Bergen (UiB), Ames Laboratory [Ames, USA], Iowa State University (ISU)-U.S. Department of Energy [Washington] (DOE), Johns Hopkins University School of Medicine [Baltimore], Language and Genetics Department [Nijmegen], Max Planck Institute for Psycholinguistics, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, International Max Planck Research School for Language Sciences (IMPRS ), Laboratory of Neuro Imaging [Los Angeles] (LONI), Department of Mathematics [UCLA], Georgia Institute of Technology [Atlanta], Medizinische Klinik, Universitätsklinikum Heidelberg, Heidelberg, Germany, Greifswald University Hospital, Beijing Normal University (BNU), Aalborg University [Denmark] (AAU), UCL Institute of Neurology and Epilepsy Society, Department of Medicine, Imperial College London, Service d'Endocrinologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen 37075, Germany, Medstar Research Institute, Clinical And Experimental Epilepsy, Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia, Department of Genomics, Life and Brain Center, University of Bonn, Institute of Human Genetics, Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus University [Aarhus], VU University Medical Center [Amsterdam], Indiana University School of Medicine, Indiana University System, Indiana Alzheimer Disease Center, Indiana University System-Indiana University System, Institute of Food & Health, University College Dublin, University College Dublin [Dublin] (UCD), Department of Neurology, Statistical Genetics Group, Respiratory Epidemiology and Public Health, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU)-MRC-HPA Centre for Environment and Health, Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Karakter Child and Adolescent Psychiatry University Centre [Nijmegen], Department of Neurology [Austria], Medical University Graz, Institut Parisien de Chimie Moléculaire (IPCM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, INSERM, Neuroepidemiology U708, Bordeaux, France, Department of Neurosciences [San Diego], University of California [San Diego] (UC San Diego), Department of Cognitive Sciences [San Diego], Wuhan University [China], Plymouth University, Dpt of Psychiatry [New Haven], Yale University School of Medicine, Queensland Institute of Medical Research, School of Psychology, University of Queensland, Brisbane 4072, Australia, University of Queensland [Brisbane], Centre for Advanced Imaging, University of Queensland, Brisbane 4072, Australia, Gènes, Synapses et Cognition (CNRS - UMR3571 ), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL, Institute of Neurology [London], Department of Genetics, King Faisal Specialist Hospital and Research Centre, Depts of Radiology, Leiden University Medical Center (LUMC), University of Twente [Netherlands], Department of Psychiatry and Human Behavior [Irvine], University of California [Irvine] (UCI), RCMG Ghent, Universiteit Gent = Ghent University [Belgium] (UGENT), Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Psychology [Oslo], Faculty of Social Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), National Institutes of Health [Bethesda] (NIH), Biospective [Montréal], KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Southwest Foundation for Biomedical Research, Department of Psychiatry and National Ageing Research Institute, University of Melbourne, Université de Lille, Department of Clinical Genetics, Department of Experimental Physics, National University of Ireland Maynooth (Maynooth University), Texas Biomedical Research Institute [San Antonio, TX], The University of Texas Health Science Center at Houston (UTHealth), 849 Department of Human Genetics, Centre for Healthy Brain Ageing, University of New South Wales [Sydney] (UNSW), Dementia Collaborative Research Centre, Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands, Department of Psychiatry [Boston], Massachusetts General Hospital [Boston], N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119333, Russia, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department of Electrical and Computer Engineering [Albuquerque] (ECE Department), The University of New Mexico [Albuquerque], The Mind Research Network, Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Division of Molecular and Cellular Therapeutics, Northwestern Polytechnical University [Xi'an] (NPU), Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Division of Medical Genetics, University of Basel (Unibas), Cell Biology and Gene Expression Section, National Institute of Health, Bethesda, Trinity College Dublin-St. James's Hospital, Neuropsychiatric Genetics Research Group, Trinity College Dublin, Bijvoet Center of Biomolecular Research [Utrecht], Utrecht University [Utrecht], York Structural Biology Laboratory, Department of Chemistry, University of York [York, UK], Harvard Medical School [Boston] (HMS), Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital [Boston], School of Psychology, University of Queensland, Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neurology Division, Beaumont Hospital, Dublin 9, Ireland, Beaumont Hospital, Hôpital Erasme [Bruxelles] (ULB), Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Laboratory of Neurogenetics, Department of Genomics, Biological Psychology, Neuroscience Campus Amsterdam & EMGO Institute for Health and Care Research, VU University & VU Medical Center, Amsterdam 1081 BT, The Netherlands, Institut des Sciences du Mouvement Etienne Jules Marey (ISM), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), École des hautes études en sciences sociales (EHESS), Department of Radiology, Mayo Clinic, Robertson Centre for Biostatistics, University of Glasgow, Human Genetics Center, Department of Medical and Molecular Genetics, Rensselaer Polytechnic Institute (RPI), Department of Physics, Okayama University, Okayama University, University of New Haven [Connecticut], Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Public Health Genomics Unit, Department of Mathematics, University of Colorado, University of Colorado [Boulder], Faculty of Medicine, University of Iceland [Reykjavik], Icelandic Heart Association, Kopavogur, Iceland., University of Science, VNU-HCM, University Medical Center Groningen [Groningen] (UMCG), Neuronal Plasticity / Mouse Behaviour, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Department of Medical Genetics, HMNC Brain Health, University of Oxford [Oxford], University of Florida [Gainesville] (UF), Göteborgs Universitet (GU), Department of Medicine, Clinical Pharmacology Unit, Karolinska University Hospital [Stockholm], Brain Centre Rudolf Magnus [Utrecht], School of Psychology, University of Sussex, Brighton BN1 9QH, UK, University of Sussex, Institute of Cognitive Neuroscience, University College of London [London] (UCL), Medical University of Łódź (MUL), Mayo Clinic [Rochester], University of Maryland School of Medicine, University of Maryland System-University of Maryland System-University of Maryland [Baltimore County] (UMBC), University of Maryland System, School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Université de Cergy Pontoise (UCP), Université Paris-Seine, Lymphocyte Cell Biology Unit, Laboratory of Genetics, Psychiatry Institute, Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Department of Health and Human Services, Department of Life Sciences, Mathematical Sciences Institute (MSI), Australian National University (ANU), Centre for Advanced Imaging, Institute of Gerontology and Geriatrics, Università degli Studi di Perugia (UNIPG), Division of Mental Health and Addiction, Oslo University Hospital [Oslo], Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], Medical Faculty [Mannheim], Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Genetic Epidemiology Unit, University of Mississippi Medical Center (UMMC), Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], Institute of Clinical Chemistry and Laboratory Medicine, Department of Statistics [Coventry], University of Warwick [Coventry], Delft University of Technology (TU Delft), Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Health Science, Division of Health and Rehabilitation, Luleå University of Technology (LUT), Osaka University [Osaka], University Medical Center [Utrecht]-Brain Center Rudolf Magnus, University of Nottingham, UK (UON), McConnell Brain Imaging Centre (MNI), Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada, Psychiatry and Human Behavior, University of California, Irvine, California 92617, USA, Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health [Mannheim], Medical Faculty [Mannheim]-Medical Faculty [Mannheim], Cedars-Sinai Medical Center, Politecnico di Milano [Milan] (POLIMI), University of Applied Sciences [Munich], Dpt of Pharmacology and Personalised Medicine [Maastricht], Maastricht University [Maastricht], Genetics of Mental Illness and Brain Function, Neuroscience Research Australia, Department of neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, Department of neurology, University of Eastern Finland-University Hospital of Kuopio-University of Eastern Finland-University Hospital of Kuopio, Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney 2052, Australia, National Institute of Aging, 3rd Department of Neurology, Aristotle University of Thessaloniki-General Hospital of Thessaloniki George Papanikolaou, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Université Bordeaux Segalen - Bordeaux 2, Genentech, Inc. [San Francisco], Psychiatry and Leiden Institute for Brain and Cognition, Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Community Medicine, Berlin School of Mind and Brain [Berlin], Humboldt-Universität zu Berlin, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Centre for Population Health Sciences, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet [Stockholm], University of Pretoria [South Africa], University of Missouri [Columbia] (Mizzou), University of Missouri System, Department of Psychiatry and Psychotherapy, HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud university [Nijmegen]-Radboud university [Nijmegen], University of Southern California (USC), University of California (UC)-University of California (UC), Sans affiliation, Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen], University of Toronto, Radboud University [Nijmegen], Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Universität Bonn = University of Bonn, Department of Neurosciences [Univ California San Diego] (Neuro - UC San Diego), School of Medicine [Univ California San Diego] (UC San Diego), University of California (UC)-University of California (UC)-University of California [San Diego] (UC San Diego), Department of Cognitive Sciences [Univ California San Diego] (CogSci - UC San Diego), Yale School of Medicine [New Haven, Connecticut] (YSM), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), King Faisal Specialist Hospital and Research Centre (KFSH & RC), Universiteit Leiden-Universiteit Leiden, University of Twente, University of California [Irvine] (UC Irvine), Universiteit Gent = Ghent University (UGENT), Centre épigénétique et destin cellulaire (EDC), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], University of Oxford, University of Maryland [Baltimore County] (UMBC), University of Maryland System-University of Maryland System-University of Maryland School of Medicine, Università degli Studi di Perugia = University of Perugia (UNIPG), University Hospital Mannheim | Universitätsmedizin Mannheim, Universität Leipzig-Universität Leipzig, University Hospital Mannheim | Universitätsmedizin Mannheim-University Hospital Mannheim | Universitätsmedizin Mannheim, University of Eastern Finland, Universiteit Leiden, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Humboldt University Of Berlin, Radboud University [Nijmegen]-Radboud University [Nijmegen], School of Medicine / Clinical Medicine, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Other departments, Adult Psychiatry, ARD - Amsterdam Reproduction and Development, Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen], McGill University-McGill University, Sahlgrenska University Hospital, McGill University, Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement (Inserm U1167 - RID-AGE - Institut Pasteur), University of Bergen (UIB), Iowa State University (ISU)-U.S. Department of Energy (DOE), Beijing Normal University, Karakter Child and Adolescent Psychiatry University Center Nijmegen, Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Gènes, Synapses et Cognition, Ghent University [Belgium] (UGENT), National University of Ireland Maynooth (NUIM), Texas Biomedical Research Institute [San Antonio, Texas], Bijvoet Center of Biomolecular Research, Université Libre de Bruxelles [Bruxelles] (ULB)-Hôpital Erasme (Bruxelles), Okayama University [Okayama], University of Florida [Gainesville], Institut National de la Recherche Agronomique (INRA)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université, Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin, Aristotle University of Thessaloniki-G. Papanikolaou Hospital, Humboldt Universität zu Berlin, University of Missouri [Columbia], Epidemiology, Radiology & Nuclear Medicine, Medical Informatics, Internal Medicine, Neurology, Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, Cognitive Psychology, IBBA, APH - Personalized Medicine, Amsterdam Neuroscience - Brain Imaging, MUMC+: DA Klinische Genetica (5), Klinische Genetica, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Anatomy and neurosciences, APH - Digital Health, Hal, GIN, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Universidad de Cantabria, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées

Subjects
Male, Netherlands Twin Register (NTR), Genome-wide association study, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit, Spatial memory, 0302 clinical medicine, 610 Medicine & health, Child, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Episodic memory, Aged, 80 and over, Subiculum, 220 Statistical Imaging Neuroscience, COMMON VARIANTS, ALZHEIMERS-DISEASE, ddc:500, Alzheimer's disease, genetics [Methionine Sulfoxide Reductases], Science, Locus (genetics), genetics [Protein-Serine-Threonine Kinases], Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Alzheimer Disease, ASTN2 protein, human, Humans, GENOME-WIDE ASSOCIATION, METAANALYSIS, Aged, Glycoproteins, Dentate gyrus, MEMORY, medicine.disease, R1, 030104 developmental biology, nervous system, Genetic Loci, MSRB3 protein, human, 030217 neurology & neurosurgery, 0301 basic medicine, General Physics and Astronomy, genetics [Alzheimer Disease], Hippocampal formation, Hippocampus, Genome-wide association studies, Taugasjúkdómar, Cohort Studies, DPP4 protein, human, TEMPORAL-LOBE EPILEPSY, BRAIN-REGIONS, genetics [Dipeptidyl Peptidase 4], genetics [Nerve Tissue Proteins], Genetics, Multidisciplinary, Neurodegenerative diseases, BIPOLAR DISORDER, Organ Size, Middle Aged, SUBFIELDS, Protein-Serine-Threonine Kinases, growth & development [Hippocampus], Female, genetics [Glycoproteins], Microtubule-Associated Proteins, Medical Genetics, Neuroinformatics, Adult, genetics [Microtubule-Associated Proteins], Adolescent, SUSCEPTIBILITY LOCI, Dipeptidyl Peptidase 4, genetics [Protein Serine-Threonine Kinases], Nerve Tissue Proteins, Bioinformatik och systembiologi, Protein Serine-Threonine Kinases, Biology, physiopathology [Alzheimer Disease], 150 000 MR Techniques in Brain Function, Young Adult, MAST4 protein, human, medicine, Journal Article, Erfðafræði, Genetic Predisposition to Disease, ddc:610, Medicinsk genetik, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Bioinformatics and Systems Biology, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Rannsóknir, General Chemistry, Methionine Sulfoxide Reductases, 150 Psychology, Genome-Wide Association Study
Abstract

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness., published version, peerReviewed

Published
2017
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8. [Diagnosis of the scaphoid bone : Fractures, nonunion, circulation, perfusion]

Author

T, Kahl, F K, Razny, J P, Benter, K, Mutig, K, Hegenscheid, S, Mutze, and A, Eisenschenk

Subjects
Diagnosis, Differential, Scaphoid Bone, Fractures, Bone, Fractures, Ununited, Perfusion Imaging, Multidetector Computed Tomography, Humans, Magnetic Resonance Imaging, Blood Flow Velocity
Abstract

The clinical relevance of scaphoid bone fractures is reflected by their high incidence, accounting for approximately 60 % among carpal fractures and for 2-3 % of all fractures. With adequate therapy most scaphoid bone fractures heal completely without complications. Insufficient immobilization or undiagnosed fractures increase the risk of nonunion and the development of pseudarthrosis.X-ray examination enables initial diagnosis of scaphoid fracture in 70-80 % of cases. Positive clinical symptoms by negative x‑ray results require further diagnostics by multi-slice spiral CT (MSCT) or MRI to exclude or confirm a fracture. In addition to the diagnosis and description of fractures MSCT is helpful for determining the stage of nonunion. Contrast enhanced MRI is the best method to assess the vitality of scaphoid fragments.

Published
2016

9. O2‐03‐03: Non‐Resilient Brain Aging in Association with Cardiovascular Risk and White Matter Hyperintensities: the Ship Study

Author

Hans J. Grabe, Jimit Doshi, K Hegenscheid, Ulf Schminke, Deborah Janowitz, Bettina von Sarnowski, R.N. Bryan, Tianhao Zhang, Henry Voelzke, Christos Davatzikos, Jon B. Toledo, Mohamad Habes, Wolfgang Hoffmann, and Erus Guray

Subjects
0301 basic medicine, Gerontology, Epidemiology, business.industry, Health Policy, Hyperintensity, 03 medical and health sciences, Psychiatry and Mental health, Cellular and Molecular Neuroscience, 030104 developmental biology, Developmental Neuroscience, Medicine, Neurology (clinical), Geriatrics and Gerontology, Association (psychology), business, Brain aging
Published
2016
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10. Association between Serum Thyroid-Stimulating Hormone Levels and Visceral Adipose Tissue: A Population-Based Study in Northeast Germany

Author

Markus M. Lerch, Henry Völzke, John A. Batsis, Till Ittermann, K Hegenscheid, Nele Friedrich, and Tilman Witte

Subjects
medicine.medical_specialty, Translational Thyroidology / Original Paper, business.industry, Endocrinology, Diabetes and Metabolism, Leptin, Adipose tissue, 030209 endocrinology & metabolism, White adipose tissue, Population based study, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Thyroid-stimulating hormone, Internal medicine, Abdominal fat, Medicine, 030212 general & internal medicine, medicine.symptom, Thyroid function, business, human activities, Abdominal obesity
Abstract

Abdominal obesity is a major driver for adverse medical conditions. While an interaction between adipose tissue and thyroid function is thought to exist, to our knowledge, no study has examined the effect of thyroid-stimulating hormone (TSH) on visceral adipose tissue (VAT) in a population-based context.We determined an association between serum TSH levels and VAT.A sample of 1,021 female and 956 male adults aged 20-79 years was drawn from registry offices in the cross-sectional, population-based Study of Health in Pomerania Trend (SHIP Trend) in Northeast Germany from 2008 to 2012. Our main exposure was serum TSH levels. Our main outcome was VAT measured using magnetic resonance imaging. The possibly mediating role of leptin on the TSH-VAT association was also assessed.A total of 1,719 participants (87.9%) had serum TSH levels within the reference range. The mean volume of VAT was 5.33 liters for men and 2.83 liters for women. No association between TSH and VAT (β = 0.06, 95% CI: -0.02, 0.14) was observed, and there were no differences detected between sexes. VAT was strongly associated with leptin with a greater effect in women than in men. Leptin was strongly associated with TSH.No association between TSH and VAT was observed. Other biomarkers such as leptin may play a role in the relationship between thyroid function and metabolic risk.

Published
2016

12. Advanced brain aging: relationship with epidemiologic and genetic risk factors, and overlap with Alzheimer disease atrophy patterns

Author

Hans-Jörgen Grabe, Wolfgang Hoffmann, Reiner Biffar, S. Van der Auwera, Mohamad Habes, Norbert Hosten, Henry Völzke, Georg Homuth, Deborah Janowitz, K Hegenscheid, Susan M. Resnick, Christos Davatzikos, Jon B. Toledo, Guray Erus, Katharina Wittfeld, and Jimit Doshi

Subjects
0301 basic medicine, Male, Aging, Pathology, epidemiology [Alzheimer Disease], Physiology, genetics [Alzheimer Disease], Brain mapping, Cohort Studies, pathology [Alzheimer Disease], methods [Brain Mapping], 0302 clinical medicine, pathology [Aging], methods [Magnetic Resonance Imaging], pathology [Brain], Risk Factors, Prevalence, Aged, 80 and over, Brain Mapping, Brain, Middle Aged, Magnetic Resonance Imaging, Psychiatry and Mental health, Study of Health in Pomerania, genetics [Aging], Cohort, Original Article, Female, Alzheimer's disease, Abnormality, Psychology, Adult, medicine.medical_specialty, 03 medical and health sciences, Cellular and Molecular Neuroscience, Young Adult, Atrophy, Alzheimer Disease, medicine, Dementia, Humans, ddc:610, Sex Distribution, diagnostic imaging [Brain], Biological Psychiatry, Aged, medicine.disease, 030104 developmental biology, Behavioral medicine, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract

We systematically compared structural imaging patterns of advanced brain aging (ABA) in the general-population, herein defined as significant deviation from typical BA to those found in Alzheimer disease (AD). The hypothesis that ABA would show different patterns of structural change compared with those found in AD was tested via advanced pattern analysis methods. In particular, magnetic resonance images of 2705 participants from the Study of Health in Pomerania (aged 20–90 years) were analyzed using an index that captures aging atrophy patterns (Spatial Pattern of Atrophy for Recognition of BA (SPARE-BA)), and an index previously shown to capture atrophy patterns found in clinical AD (Spatial Patterns of Abnormality for Recognition of Early Alzheimer’s Disease (SPARE-AD)). We studied the association between these indices and risk factors, including an AD polygenic risk score. Finally, we compared the ABA-associated atrophy with typical AD-like patterns. We observed that SPARE-BA had significant association with: smoking (P<0.05), anti-hypertensive (P<0.05), anti-diabetic drug use (men P<0.05, women P=0.06) and waist circumference for the male cohort (P<0.05), after adjusting for age. Subjects with ABA had spatially extensive gray matter loss in the frontal, parietal and temporal lobes (false-discovery-rate-corrected q

Published
2016
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13. Bildgebungsstrategie bei Kniegelenkverletzungen

Author

C Rosenberg, Ralf Puls, and K Hegenscheid

Subjects
medicine.medical_specialty, medicine.diagnostic_test, business.industry, Radiography, Anterior cruciate ligament, Magnetic resonance imaging, Meniscus (anatomy), musculoskeletal system, medicine.anatomical_structure, Medical imaging, Medicine, Radiology, Nuclear Medicine and imaging, Radiology, Tibia, business, human activities, Cardiac imaging, Neuroradiology
Abstract

Injuries of the knees are common. The Ottawa knee rule provides decisional support to determine whether radiographs are indicated or not. With the use of ultrasound it is possible to detect defects of the extensor ligaments and the anterior cruciate ligament. Furthermore, it is possible to detect indirect signs of an intra-articular fracture, e.g. lipohemarthrosis. In complex fractures, e.g. tibial plateau fractures, further diagnostic procedures with multislice computed tomography (CT) are needed for accurate classification and preoperative planning. Multislice CT with CT angiography enables three-dimensional reconstruction of the knee and non-invasive vascular imaging for detection of vascular injury. Magnetic resonance imaging (MRI) is the gold standard for detection of occult fractures and injuries of the ligaments and menisci. Higher field strengths can be used to improve the diagnostics of cartilage lesions. Virtual MR arthrography is superior to conventional MRI for detection of cartilage lesions especially after meniscus surgery.

Published
2012
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14. Cohort Profile: The Study of Health in Pomerania

Author

Till Ittermann, Michael Piontek, Christoph Havemann, Sabine Schipf, Carsten Oliver Schmidt, Birte Holtfreter, Oliver Gloger, Henry Völzke, Matthias Kraft, Heyo K. Kroemer, Frank Tost, Uwe Völker, Anne Obst, Reiner Biffar, Ulrich John, Hans J. Grabe, Stephan B. Felix, Andreas Arnold, Georg Homuth, Ralf Puls, Robin Haring, Matthias Nauck, Norbert Hosten, Clemens Jürgens, Sebastian E. Baumeister, Martina Dören, Thorsten Reffelmann, J Röpcke, Roberto Lorbeer, Julia Mayerle, Jörg Henke, Beate Koch, Henri Wallaschofski, Ines Polzer, Thomas Penzel, Alexander Teumer, Thomas Kocher, Dieter Rosskopf, Ralf Ewert, Mario Hannemann, Saskia Ungerer, Sven Gläser, Jan A. Kors, Jens Peter Kühn, Thomas Kohlmann, K Hegenscheid, Markus M. Lerch, Marcus Dörr, Stephanie Frick, Klaus Empen, Gabriele Born, Ingo Fietze, Dietrich Alte, Dörte Radke, Johannes Haerting, Nele Friedrich, Ulf Schminke, Wolfgang Rathmann, Nicole Aumann, Christian Schwahn, Julia Kühn, Michael Jünger, Rainer Rettig, Katharina Lau, Wolfgang Hoffmann, and Medical Informatics

Subjects
Adult, Epidemiology, business.industry, Philosophy, Diagnosis, Oral, Health Status, General Medicine, Glucose Tolerance Test, Middle Aged, Cohort Studies, Interviews as Topic, Risk Factors, Study of Health in Pomerania, Germany, Population Surveillance, Humans, Theology, Ultrasonography, Morbidity, business, Physical Examination, Aged
Abstract

Henry Volzke, y Dietrich Alte,1y Carsten Oliver Schmidt, Dorte Radke, Roberto Lorbeer, Nele Friedrich, Nicole Aumann, Katharina Lau, Michael Piontek, Gabriele Born, Christoph Havemann, Till Ittermann, Sabine Schipf, Robin Haring, Sebastian E Baumeister, Henri Wallaschofski, Matthias Nauck, Stephanie Frick, Andreas Arnold, Michael Junger, Julia Mayerle, Matthias Kraft, Markus M Lerch, Marcus Dorr, Thorsten Reffelmann, Klaus Empen, Stephan B Felix, Anne Obst, Beate Koch, Sven Glaser, Ralf Ewert, Ingo Fietze, Thomas Penzel, Martina Doren, Wolfgang Rathmann, Johannes Haerting, Mario Hannemann, Jurgen Ropcke, Ulf Schminke, Clemens Jurgens, Frank Tost, Rainer Rettig, Jan A Kors, Saskia Ungerer, Katrin Hegenscheid, Jens-Peter Kuhn, Julia Kuhn, Norbert Hosten, Ralf Puls, Jorg Henke, Oliver Gloger, Alexander Teumer, Georg Homuth, Uwe Volker, Christian Schwahn, Birte Holtfreter, Ines Polzer, Thomas Kohlmann, Hans J Grabe, Dieter Rosskopf, Heyo K Kroemer, Thomas Kocher, Reiner Biffar,17,y Ulrich John20y and Wolfgang Hoffmann1y

Published
2011
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15. Magnetic resonance-guided upper abdominal biopsies in a high-field wide-bore 3-T MRI system: feasibility, handling, and needle artefacts

Author

Norbert Hosten, Ralf Puls, Matthias Evert, Sönke Langner, Antje Kickhefel, K Hegenscheid, and Jens-Peter Kühn

Subjects
Adult, Diagnostic Imaging, Male, medicine.medical_specialty, genetic structures, Kidney, Sensitivity and Specificity, Neoplasms, Biopsy, medicine, Humans, Radiology, Nuclear Medicine and imaging, Aged, Neuroradiology, medicine.diagnostic_test, business.industry, Biopsy, Needle, Ultrasound, Reproducibility of Results, Magnetic resonance imaging, Interventional radiology, General Medicine, Middle Aged, Magnetic Resonance Imaging, medicine.anatomical_structure, Liver, Dynamic contrast-enhanced MRI, Abdomen, Female, Radiology, Artifacts, business, Liver pathology, Spleen
Abstract

To investigate the feasibility and handling of abdominal MRI-guided biopsies in a 3-T MRI system.Over a 1-year period, 50 biopsies were obtained in 47 patients with tumours of the upper abdominal organs guided by 3-T MRI with a large-bore diameter of 70 cm. Lesions in liver (47), spleen (1) and kidney (2) were biopsied with a coaxial technique using a 16-G biopsy needle guided by a T1-weighted three-dimensional gradient recalled echo volumetric interpolated breath-hold examination (T1w-3D-GRE-VIBE) sequence. Sensitivity, specificity, accuracy, complication rate, interventional complexity, room/intervention time and needle artefacts were determined.A sensitivity of 0.93, specificity of 1.0 and accuracy of 0.94 were observed. Three patients required a rebiopsy. There was a minor complications rate of 13.6%, and no major complications were observed. Histopathology revealed 38 malignant lesions, and 3-month follow-up confirmed 9 benign lesions. Mean lesion diameter was 3.4 ± 3.1 cm (50% being smaller than 2 cm). Mean needle tract length was 10.8 ± 3.3 cm. Median room time was 42.0 ± 19.8 min and intervention time 9.3 ± 8.1 min. Needle artefact size was about 9-fold greater for perpendicular access versus access parallel to the main magnetic field.Biopsies of the upper abdomen can be performed with great technical success and easy handling because of the large-bore diameter. The MRI-guided biopsy needle had an acceptable susceptibility artefact at 3 T. However future research must aim to reduce the susceptibility effects of the biopsy systems.

Published
2010
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16. Besondere Aspekte der Bildgebung bei Kniegelenkverletzungen

Author

K. Hegenscheid, R. Puls, and C. Wuschech

Subjects
medicine.diagnostic_test, business.industry, Public Health, Environmental and Occupational Health, Emergency Medicine, Medicine, Computed tomography, Nuclear medicine, business, Knee injuries
Abstract

Verletzungen des Kniegelenkes sind haufig. Die „Ottawa knee rules“ bieten eine Entscheidungshilfe, ob Rontgenaufnahmen indiziert sind. Mittels Sonographie konnen Verletzungen der Streckapparates und des vorderen Kreuzbandes erkannt werden. Ebenso gelingt der Nachweis eines Lipohamarthros als indirektem Zeichen einer intraartikularen Fraktur. Bei komplexen Frakturen, z. B. Tibiaplateaufrakturen, ist eine weiterfuhrende Diagnostik mittels CT (Computertomographie) zur Klassifizierung und praoperativen Planung notwendig. Die Multislice-CT mit gleichzeitiger CT-Angiographie ermoglicht die Anfertigung dreidimensionaler Rekonstruktionen und die Moglichkeit der nichtinvasiven Gefasdarstellung. Die MRT (Magnetresonanztomographie) ist der Goldstandard zum Nachweis okkulter Frakturen und Verletzungen an Bandern und Menisken. Bei hoheren Feldstarken verbessert sich die Diagnostik von Knorpellasionen. Die virtuelle MR-Arthrographie ist insbesondere nach Meniskusoperation und bei Knorpellasionen der konventionellen MRT uberlegen.

Published
2009
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17. Seltene Differenzialdiagnose einer schweren Hyperkalzämie

Author

Markus M. Lerch, A. Stier, Henri Wallaschofski, S Vogelgesang, C. Spielhagen, and K Hegenscheid

Subjects
Parathyroidectomy, medicine.medical_specialty, Parathyroid neoplasm, business.industry, medicine.medical_treatment, Parathyroid hormone, medicine.disease, medicine.anatomical_structure, Parathyroid carcinoma, Internal Medicine, medicine, Parathyroid gland, Radiology, Differential diagnosis, business, hormones, hormone substitutes, and hormone antagonists, Primary hyperparathyroidism, Parathyroid adenoma
Abstract

We report a 47-year-old women who presented to her general practitioner and our hospital with weight loss of unknown etiology. Eight years previously she had undergone a hemithyroidectomy for nodular goiter with one cold nodule. Laboratory results revealed hypercalcemia, evidence of primary hyperparathyroidism and computer tomography of the thorax showed bilateral pulmonary metastasis. After undergoing CT-guided biopsy of a metastasis, histology revealed an endocrine primary tumor with low parathyroid hormone expression. In view of the history, clinical and biochemical findings we diagnosed a recently metastasized functioning parathyroid carcinoma, which eight years previously has been labeled as a benign atypical thyroid adenoma. The patient underwent surgical resection of all detected metastases. Afterwards the serum calcium and parathyroid hormone levels normalized. Parathyroid carcinoma is an uncommon tumor. In the absence of pathognomonic diagnostic criteria a definitive pathological diagnosis of parathyroid carcinoma often is not possible. The treatment of parathyroid carcinoma is essentially surgical. Patients with parathyroid carcinoma mostly die from uncontrollable hypercalcemia rather than from other tumor-related complications.

Published
2009
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18. White matter hyperintensities and imaging patterns of brain ageing in the general population

Author

Christos Davatzikos, Jon B. Toledo, Deborah Janowitz, Henry Völzke, Bettina von Sarnowski, Norbert Hosten, Lenore J. Launer, Jimit Doshi, Hans J. Grabe, Wolfgang Hoffmann, Tianhao Zhang, Mohamad Habes, Georg Homuth, Nick Bryan, Ulf Schminke, Sandra Van der Auwera, K Hegenscheid, Guray Erus, and Yves Rosseel

Subjects
Male, Pathology, Aging, epidemiology [Alzheimer Disease], 030218 nuclear medicine & medical imaging, Cohort Studies, 0302 clinical medicine, pathology [Aging], pathology [Brain], Risk Factors, pathology [White Matter], Germany, Cognitive decline, Aged, 80 and over, education.field_of_study, diagnosis [Alzheimer Disease], Brain, Middle Aged, Magnetic Resonance Imaging, White Matter, medicine.anatomical_structure, Population Surveillance, epidemiology [Poland], Cardiology, Female, methods [Population Surveillance], Alzheimer's disease, Psychology, Adult, medicine.medical_specialty, epidemiology [Cognition Disorders], trends [Magnetic Resonance Imaging], Population, epidemiology [Germany], epidemiology [Dementia], behavioral disciplines and activities, White matter, 03 medical and health sciences, Young Adult, Atrophy, Alzheimer Disease, Internal medicine, mental disorders, medicine, Dementia, Humans, ddc:610, education, diagnosis [Cognition Disorders], Aged, Cerebral atrophy, Original Articles, medicine.disease, Hyperintensity, diagnosis [Dementia], Neurology (clinical), Poland, Cognition Disorders, 030217 neurology & neurosurgery
Abstract

White matter hyperintensities are associated with increased risk of dementia and cognitive decline. The current study investigates the relationship between white matter hyperintensities burden and patterns of brain atrophy associated with brain ageing and Alzheimer's disease in a large populatison-based sample (n = 2367) encompassing a wide age range (20-90 years), from the Study of Health in Pomerania. We quantified white matter hyperintensities using automated segmentation and summarized atrophy patterns using machine learning methods resulting in two indices: the SPARE-BA index (capturing age-related brain atrophy), and the SPARE-AD index (previously developed to capture patterns of atrophy found in patients with Alzheimer's disease). A characteristic pattern of age-related accumulation of white matter hyperintensities in both periventricular and deep white matter areas was found. Individuals with high white matter hyperintensities burden showed significantly (P < 0.0001) lower SPARE-BA and higher SPARE-AD values compared to those with low white matter hyperintensities burden, indicating that the former had more patterns of atrophy in brain regions typically affected by ageing and Alzheimer's disease dementia. To investigate a possibly causal role of white matter hyperintensities, structural equation modelling was used to quantify the effect of Framingham cardiovascular disease risk score and white matter hyperintensities burden on SPARE-BA, revealing a statistically significant (P < 0.0001) causal relationship between them. Structural equation modelling showed that the age effect on SPARE-BA was mediated by white matter hyperintensities and cardiovascular risk score each explaining 10.4% and 21.6% of the variance, respectively. The direct age effect explained 70.2% of the SPARE-BA variance. Only white matter hyperintensities significantly mediated the age effect on SPARE-AD explaining 32.8% of the variance. The direct age effect explained 66.0% of the SPARE-AD variance. Multivariable regression showed significant relationship between white matter hyperintensities volume and hypertension (P = 0.001), diabetes mellitus (P = 0.023), smoking (P = 0.002) and education level (P = 0.003). The only significant association with cognitive tests was with the immediate recall of the California verbal and learning memory test. No significant association was present with the APOE genotype. These results support the hypothesis that white matter hyperintensities contribute to patterns of brain atrophy found in beyond-normal brain ageing in the general population. White matter hyperintensities also contribute to brain atrophy patterns in regions related to Alzheimer's disease dementia, in agreement with their known additive role to the likelihood of dementia. Preventive strategies reducing the odds to develop cardiovascular disease and white matter hyperintensities could decrease the incidence or delay the onset of dementia.

Published
2015
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19. [Techniques for quantification of liver fat in risk stratification of diabetics]

Author

J-P, Kühn, M C, Spoerl, C, Mahlke, and K, Hegenscheid

Subjects
Diabetes Complications, Fatty Liver, Adipose Tissue, Liver, Germany, Image Interpretation, Computer-Assisted, Humans, Risk Assessment
Abstract

Fatty liver disease plays an important role in the development of type 2 diabetes. Accurate techniques for detection and quantification of liver fat are essential for clinical diagnostics.Chemical shift-encoded magnetic resonance imaging (MRI) is a simple approach to quantify liver fat content.Liver fat quantification using chemical shift-encoded MRI is influenced by several bias factors, such as T2* decay, T1 recovery and the multispectral complexity of fat.The confounder corrected proton density fat fraction is a simple approach to quantify liver fat with comparable results independent of the software and hardware used.The proton density fat fraction is an accurate biomarker for assessment of liver fat.An accurate and reproducible quantification of liver fat using chemical shift-encoded MRI requires a calculation of the proton density fat fraction.

Published
2015

20. [Snake bite in a 53-year-old female tourist]

Author

S, Bertheau, A, Aghdassi, M, Otto, K, Hegenscheid, S, Runge, M M, Lerch, and P, Simon

Subjects
Diagnosis, Differential, Travel, Treatment Outcome, Antivenins, Viperidae, Animals, Edema, Humans, Snake Bites, Female, Middle Aged
Abstract

Snake bites are rare events in Germany and are not life-threatening with usually only mild clinical symptoms. The most widespread venomous snake is the common European adder (Vipera berus). Here we present the case of a 53-year-old woman who was bitten by a common adder. Although the patient was initially in stable condition she developed edematous swelling of the complete lower limb, subcutaneous bleeding, and rhabdomyolysis. The aim of this report is to raise awareness that even in a central European country like Germany snake bites with a life-threatening course can occur and need immediate attention and medical care.

Published
2015

22. A genome-wide search for quantitative trait loci affecting the cortical surface area and thickness of Heschl's gyrus

Author

Yufang Yang, Guillén Fernández, Peter Hagoort, K Hegenscheid, Marcel P. Zwiers, Katharina Wittfeld, Dan-Chao Cai, Alexander Teumer, Barbara Franke, Hans-Jörgen Grabe, Martine Hoogman, H Van Bokhoven, Alejandro Arias-Vasquez, Georg Homuth, Han G. Brunner, Simon E. Fisher, Jan K. Buitelaar, Hubert M. Fonteijn, Clyde Francks, and Tulio Guadalupe

Subjects
Adult, Male, Neuroinformatics, 110 000 Neurocognition of Language, Adolescent, Ubiquitin-Protein Ligases, Quantitative Trait Loci, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], Genome-wide association study, Single-nucleotide polymorphism, Sound perception, Protein Serine-Threonine Kinases, Biology, Quantitative trait locus, Auditory cortex, genetics [Protein-Serine-Threonine Kinases], Polymorphism, Single Nucleotide, 150 000 MR Techniques in Brain Function, Behavioral Neuroscience, Gyrus, 130 000 Cognitive Neurology & Memory, Genetics, medicine, Guanine Nucleotide Exchange Factors, Humans, SNP, ddc:610, Gene, KALRN protein, human, Aged, genetics [Ubiquitin-Protein Ligases], CBLL1 protein, human, Auditory Cortex, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Genome, Human, Membrane Proteins, Middle Aged, DCBLD2 protein, human, Protein-Serine-Threonine Kinases, genetics [Guanine Nucleotide Exchange Factors], genetics [Membrane Proteins], anatomy & histology [Auditory Cortex], medicine.anatomical_structure, Neurology, POU Domain Factors, POU3F4 protein, human, Female, genetics [POU Domain Factors]
Abstract

Contains fulltext : 133094.pdf (Publisher’s version ) (Open Access) Heschl's gyrus (HG) is a core region of the auditory cortex whose morphology is highly variable across individuals. This variability has been linked to sound perception ability in both speech and music domains. Previous studies show that variations in morphological features of HG, such as cortical surface area and thickness, are heritable. To identify genetic variants that affect HG morphology, we conducted a genome-wide association scan (GWAS) meta-analysis in 3054 healthy individuals using HG surface area and thickness as quantitative traits. None of the single nucleotide polymorphisms (SNPs) showed association P values that would survive correction for multiple testing over the genome. The most significant association was found between right HG area and SNP rs72932726 close to gene DCBLD2 (3q12.1; P = 2.77 x 10(-7) ). This SNP was also associated with other regions involved in speech processing. The SNP rs333332 within gene KALRN (3q21.2; P = 2.27 x 10(-6) ) and rs143000161 near gene COBLL1 (2q24.3; P = 2.40 x 10(-6) ) were associated with the area and thickness of left HG, respectively. Both genes are involved in the development of the nervous system. The SNP rs7062395 close to the X-linked deafness gene POU3F4 was associated with right HG thickness (Xq21.1; P = 2.38 x 10(-6) ). This is the first molecular genetic analysis of variability in HG morphology.

Published
2014
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23. P.2.b.017 Structural brain alterations in major depression: findings from the ENIGMA Major Depressive Disorder Working Group

Author

Nicholas G. Martin, Thomas Frodl, M. A. Ikram, Henrik Walter, J.E. Sussmann, A. Block, Ian B. Hickie, Meike W. Vernooij, I.M. Veer, T.G.M. van Erp, Bartosz Zurowski, Philip J. Cowen, Elisabeth Schramm, M.J.D. van Tol, A. Hofman, Angela Carballedo, Geoffrey B. Hall, Michael Czisch, Knut Schnell, Sean N. Hatton, Katie L. McMahon, Dick J. Veltman, Baptiste Couvy-Duchesne, Jim Lagopoulos, L. S. van Velzen, Wiro J. Niessen, Natalie T. Mills, Glenda MacQueen, Felix Fischer, Lianne Schmaal, Matthias Rose, Margaret J. Wright, Martina Papmeyer, Philipp G. Sämann, Eva-Maria Frey, S. E. Medland, Bernhard K. Krämer, Paul M. Thompson, D. P. Hibar, N.J. van der Wee, Henning Tiemeier, Elizabeth Loehrer, Neda Jahanshad, Roberto Goya-Maldonado, Thomas Nickson, Hans-Jörgen Grabe, Heather C. Whalley, Oliver Gruber, G. I. de Zubicaray, K Hegenscheid, Lachlan T. Strike, Carsten Konrad, Katharina Wittfeld, Nathan A. Gillespie, Andrew M. McIntosh, Henry Völzke, D. Schoepf, B.W.J.H. Penninx, D. Hoehn, Miguel E. Rentería, Beata R. Godlewska, and Claus Normann

Subjects
Pharmacology, medicine.medical_specialty, business.industry, medicine.disease, Clinical neurology, Psychiatry and Mental health, Neurology, Endogenous depression, medicine, Major depressive disorder, Pharmacology (medical), Neurology (clinical), business, Psychiatry, Biological Psychiatry, Depression (differential diagnoses), Clinical psychology
Published
2015
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26. [Imaging strategies for knee injuries]

Author

K, Hegenscheid, R, Puls, and C, Rosenberg

Subjects
Diagnostic Imaging, Humans, Knee Injuries, Image Enhancement
Abstract

Injuries of the knees are common. The Ottawa knee rule provides decisional support to determine whether radiographs are indicated or not. With the use of ultrasound it is possible to detect defects of the extensor ligaments and the anterior cruciate ligament. Furthermore, it is possible to detect indirect signs of an intra-articular fracture, e.g. lipohemarthrosis. In complex fractures, e.g. tibial plateau fractures, further diagnostic procedures with multislice computed tomography (CT) are needed for accurate classification and preoperative planning. Multislice CT with CT angiography enables three-dimensional reconstruction of the knee and non-invasive vascular imaging for detection of vascular injury. Magnetic resonance imaging (MRI) is the gold standard for detection of occult fractures and injuries of the ligaments and menisci. Higher field strengths can be used to improve the diagnostics of cartilage lesions. Virtual MR arthrography is superior to conventional MRI for detection of cartilage lesions especially after meniscus surgery.

Published
2012

34. Whole-body magnetic resonance imaging of healthy volunteers: pilot study results from the population-based SHIP study

Author

Henry Völzke, Jens-Peter Kühn, Ralf Puls, K Hegenscheid, Reiner Biffar, and N. Hosten

Subjects
Adult, Male, medicine.medical_specialty, Technology Assessment, Biomedical, Quality Assurance, Health Care, Cholangiopancreatography, Magnetic Resonance, Population, Prevalence, Contrast Media, Magnetic Resonance Imaging, Cine, Pilot Projects, Secretin, Informed consent, Reference Values, Germany, Epidemiology, medicine, Image Processing, Computer-Assisted, Organometallic Compounds, Humans, Radiology, Nuclear Medicine and imaging, Whole Body Imaging, education, Referral and Consultation, Aged, Observer Variation, education.field_of_study, Incidental Findings, medicine.diagnostic_test, business.industry, Reproducibility of Results, Magnetic resonance imaging, Middle Aged, Institutional review board, Health Surveys, Magnetic Resonance Imaging, Myocardial Contraction, Surgery, Study of Health in Pomerania, Angiography, Feasibility Studies, Female, Radiology, business, Magnetic Resonance Angiography, Mammography
Abstract

Purpose Approximately 4000 volunteers will undergo whole-body magnetic resonance imaging (WB-MRI) within the next 3 years in the population-based Study of Health in Pomerania (SHIP). Here we present a pilot study conducted (a) to determine the feasibility of adding a WB-MRI protocol to a large-scale population-based study, (b) to evaluate the reliability of standardized MRI interpretation, and (c) to establish an approach for handling pathological findings. Materials and methods The institutional review board approved the study, and oral and written informed consent was obtained from each participant. Two hundred healthy volunteers (99 women, 101 men; mean age 48.3 years) underwent a standardized WB-MRI protocol. The protocol was supplemented by contrast-enhanced cardiac MRI and magnetic resonance (MR) angiography in 61 men (60.4%) and cardiac MRI and MR mammography in 44 women (44.4%). MR scans were evaluated independently by two readers. Abnormalities were discussed by an advisory board and classified according to the need for further clinical work-up. Results One hundred ninety-four (97.0%) WB-MRI examinations were successfully completed in a mean scan time per subject of 90 minutes. There were 431 pathological findings in 176 (88%) of the participants. Of those 45 (10.4%) required further clinical work-up and 386 (89.6%) characterized as benign lesions did not. The interobserver agreement for the detection of pathological findings was excellent (kappa = 0.799). Conclusion The preliminary results presented here indicate that a large prospective, population-based study using WB-MRI is feasible and that the results of image analysis are reproducible. A variety of positive findings provide valuable information regarding disease prevalence in a general adult population.

Published
2009

37. [Rare cause of hypercalcemia]

Author

C, Spielhagen, A, Stier, K, Hegenscheid, S, Vogelgesang, M M, Lerch, and H, Wallaschofski

Subjects
Adenoma, Diagnosis, Differential, Parathyroidectomy, Parathyroid Neoplasms, Rare Diseases, Treatment Outcome, Hypercalcemia, Humans, Female, Middle Aged
Abstract

We report a 47-year-old women who presented to her general practitioner and our hospital with weight loss of unknown etiology. Eight years previously she had undergone a hemithyroidectomy for nodular goiter with one cold nodule. Laboratory results revealed hypercalcemia, evidence of primary hyperparathyroidism and computer tomography of the thorax showed bilateral pulmonary metastasis. After undergoing CT-guided biopsy of a metastasis, histology revealed an endocrine primary tumor with low parathyroid hormone expression. In view of the history, clinical and biochemical findings we diagnosed a recently metastasized functioning parathyroid carcinoma, which eight years previously has been labeled as a benign atypical thyroid adenoma. The patient underwent surgical resection of all detected metastases. Afterwards the serum calcium and parathyroid hormone levels normalized. Parathyroid carcinoma is an uncommon tumor. In the absence of pathognomonic diagnostic criteria a definitive pathological diagnosis of parathyroid carcinoma often is not possible. The treatment of parathyroid carcinoma is essentially surgical. Patients with parathyroid carcinoma mostly die from uncontrollable hypercalcemia rather than from other tumor-related complications.

Published
2009

39. Three-dimensional gradient-echo imaging for percutaneous MR-guided laser therapy of liver metastasis

Author

Norbert Hosten, Ralf Puls, Ulrich Speck, Jens-Peter Kuehn, K Hegenscheid, Albrecht Stier, C Rosenberg, and Christian Stroszczynski

Subjects
Adult, Male, medicine.medical_specialty, Scanner, Percutaneous, Magnetic Resonance Imaging, Interventional, Metastasis, Flash (photography), Imaging, Three-Dimensional, Laser therapy, medicine, Humans, Radiology, Nuclear Medicine and imaging, Aged, Titanium, Artifact (error), medicine.diagnostic_test, business.industry, Liver Neoplasms, Magnetic resonance imaging, Middle Aged, medicine.disease, Treatment Outcome, Catheter Ablation, Female, Radiology, Laser Therapy, business, Artifacts, Mri guided, Software
Abstract

Purpose To evaluate the use of three-dimensional (3D) gradient-echo (GRE) magnetic resonance imaging (MRI) for percutaneous MR-guided catheter placement for laser therapy of liver metastases. Materials and Methods Thirty-four patients were included. A total of 122 MR-guided percutaneous punctures of 67 liver metastases were performed on a 1.5T scanner (Symphony and Sonata; Siemens, Erlangen, Germany) using a 5.5F microcatheter system and titanium needle (Monocath; MeoMedical, Augsburg, Germany). In 88 of 122 procedures, a 2D fast low-angle shot (FLASH) T1-weighted GRE breath-hold sequence was acquired in the axial plane and if necessary in a second plane. Sequences were acquired and reviewed using the panel in the control room. In 34 of 122 procedures a 3D FLASH T1-weighted fat-saturated GRE (volume-interpolated breath-hold examination (VIBE)) sequence was acquired in the axial plane only. Acquisition and 3D review were controlled under sterile conditions with a panel inside the examination room (Syngo; Siemens). Results The 3D FLASH sequence significantly decreased the mean number of acquisitions needed to place the microcatheter with the titanium needle in the metastasis compared to interventions with the 2D FLASH sequence (2.9 ± 0.83 vs. 4.4 ± 1.63). With 2D FLASH imaging, acquisition in a second plane was necessary in 78 instances (20% of acquired 2D sequences) to ensure adequate positioning of the device during the procedure. The artifact caused by the titanium needle was smaller with the 3D FLASH sequence. The conspicuity of liver metastases and morphology (liver edge and vessels) was acceptable with both sequences. The 3D FLASH sequence improved differentiation when two to four titanium needles were inserted, due to smaller susceptibility artifacts caused by the needles. Conclusion 3D GRE imaging with the capability to perform multiplanar reconstruction (MPR) shortens the procedure by reducing the number of sequences needed. Improved visibility of the titanium needles allows more precise insertion of multiple needles into the metastasis. J. Magn. Reson. Imaging 2007;25:1174–1178. © 2007 Wiley-Liss, Inc.

Published
2007

42. CMR 2007: 10.02: A randomized comparison of safety, tolerance and contrast of intravenous iosimenol with iodixanol (Visipaque®) in patients undergoing whole-body computed tomography

Author

Norbert Hosten, K. Hegenscheid, and C. Weigel

Subjects
medicine.medical_specialty, medicine.diagnostic_test, business.industry, media_common.quotation_subject, Computed tomography, Iodixanol, Medicine, Contrast (vision), Radiology, Nuclear Medicine and imaging, In patient, Radiology, Nuclear medicine, business, Whole body, medicine.drug, media_common
Published
2007
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43. Effects of whole-body MRI on outpatient health service costs: a general-population prospective cohort study in Mecklenburg-Vorpommern, Germany.

Author

Schmidt CO, Sierocinski E, Baumeister S, Hegenscheid K, Völzke H, and Chenot JF

Subjects
Germany, Humans, Patient Acceptance of Health Care, Prospective Studies, Ambulatory Care, Magnetic Resonance Imaging
Abstract

Objective: Whole-body MRI (wb-MRI) is increasingly used in research and screening but little is known about the effects of incidental findings (IFs) on health service utilisation and costs. Such effects are particularly critical in an observational study. Our principal research question was therefore how participation in a wb-MRI examination with its resemblance to a population-based health screening is associated with outpatient service costs., Design: Prospective cohort study., Setting: General population Mecklenburg-Vorpommern, Germany., Participants: Analyses included 5019 participants of the Study of Health in Pomerania with statutory health insurance data. 2969 took part in a wb-MRI examination in addition to a clinical examination programme that was administered to all participants. MRI non-participants served as a quasi-experimental control group with propensity score weighting to account for baseline differences., Primary and Secondary Outcome Measures: Outpatient costs (total healthcare usage, primary care, specialist care, laboratory tests, imaging) during 24 months after the examination were retrieved from claims data. Two-part models were used to compute treatment effects., Results: In total, 1366 potentially relevant IFs were disclosed to 948 MRI participants (32% of all participants); most concerned masses and lesions (769 participants, 81%). Costs for outpatient care during the 2-year observation period amounted to an average of €2547 (95% CI 2424 to 2671) for MRI non-participants and to €2839 (95% CI 2741 to 2936) for MRI participants, indicating an increase of €295 (95% CI 134 to 456) per participant which corresponds to 11.6% (95% CI 5.2% to 17.9%). The cost increase was sustained rather than being a short-term spike. Imaging and specialist care related costs were the main contributors to the increase in costs., Conclusions: Communicated findings from population-based wb-MRI substantially impacted health service utilisation and costs. This introduced bias into the natural course of healthcare utilisation and should be taken care for in any longitudinal analyses., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Published
2022
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44. SHIP-MR and Radiology: 12 Years of Whole-Body Magnetic Resonance Imaging in a Single Center.

Author

Hosten N, Bülow R, Völzke H, Domin M, Schmidt CO, Teumer A, Ittermann T, Nauck M, Felix S, Dörr M, Markus MRP, Völker U, Daboul A, Schwahn C, Holtfreter B, Mundt T, Krey KF, Kindler S, Mksoud M, Samietz S, Biffar R, Hoffmann W, Kocher T, Chenot JF, Stahl A, Tost F, Friedrich N, Zylla S, Hannemann A, Lotze M, Kühn JP, Hegenscheid K, Rosenberg C, Wassilew G, Frenzel S, Wittfeld K, Grabe HJ, and Kromrey ML

Abstract

The Study of Health in Pomerania (SHIP), a population-based study from a rural state in northeastern Germany with a relatively poor life expectancy, supplemented its comprehensive examination program in 2008 with whole-body MR imaging at 1.5 T (SHIP-MR). We reviewed more than 100 publications that used the SHIP-MR data and analyzed which sequences already produced fruitful scientific outputs and which manuscripts have been referenced frequently. Upon reviewing the publications about imaging sequences, those that used T1-weighted structured imaging of the brain and a gradient-echo sequence for R2* mapping obtained the highest scientific output; regarding specific body parts examined, most scientific publications focused on MR sequences involving the brain and the (upper) abdomen. We conclude that population-based MR imaging in cohort studies should define more precise goals when allocating imaging time. In addition, quality control measures might include recording the number and impact of published work, preferably on a bi-annual basis and starting 2 years after initiation of the study. Structured teaching courses may enhance the desired output in areas that appear underrepresented.

Published
2021
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45. Recall accuracy of notifications about incidental findings from an MRI examination: results from a population-based study.

Author

Piontek K, Richter A, Hegenscheid K, Chenot JF, and Schmidt CO

Subjects
Diagnostic Tests, Routine, Female, Humans, Male, Memory, Self Report, Surveys and Questionnaires, Disclosure, Incidental Findings, Magnetic Resonance Imaging, Mental Recall
Abstract

Background: Self-reports of medical findings are indispensable in clinical practice and research but subject to recall bias. We analysed the recall accuracy of notifications about incidental findings (IFs) from a whole-body MRI examination and assessed determinants of recall error., Methods: Data from 3746 participants of a postal follow-up survey conducted on average 2.47 years after examination in the population-based Study of Health in Pomerania were analysed. Among those, 2185 (58.3%) underwent whole-body MRI at baseline, and findings of potential clinical relevance were disclosed in standardised postal letters. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated to determine the accuracy of self-reports. Poisson regression analysis was conducted to analyse predictors for false-positive and false-negative recall., Results: An IF was disclosed to 622 (28.5%) individuals; 81.5% had tumour relevance. The overall sensitivity and PPV of participants' self-reports were 80% and 60%, respectively. PPvs were higher among women, better educated and married participants and among those with good verbal memory. Among MRI participants, lower educational level was associated with a higher risk of false-positive recall (risk ratio (RR) 1.44, 95% CI 1.01 to 2.03), while increasing age was associated with a higher risk of false-negative recall (RR 1.64, 95% CI 1.33 to 2.01)., Conclusions: Most participants correctly recalled disclosed IFs. However, the probability of an event in case of a positive recall is barely above 50%. Therefore, relying on subjects' recall of disclosed IFs will lead to a relevant proportion of errors. Clinicians and researchers should be aware of this problem and of participants' characteristics which may moderate the probability of correct decisions based on recalled findings., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

Published
2020
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46. Correlation of Ductoscopic and Histopathological Findings and Their Relevance as Predictors for Malignancy: A German Multicenter Study.

Author

Ohlinger R, Flieger C, Hahndorf W, Paepke S, Blohmer JU, Grunwald S, Alwafai Z, Flieger R, Camara O, Deichert U, Peisker U, Kohlmann T, Buchholz I, Hegenscheid K, Utpatel K, Stomps A, Rechenberg U, Zygmunt M, and Hahn M

Subjects
Adult, Aged, Aged, 80 and over, Breast Diseases metabolism, Breast Diseases pathology, Breast Neoplasms metabolism, Breast Neoplasms pathology, Carcinoma, Intraductal, Noninfiltrating metabolism, Carcinoma, Intraductal, Noninfiltrating pathology, Diagnosis, Differential, Female, Germany, Humans, Middle Aged, Nipples metabolism, Prospective Studies, Young Adult, Breast Diseases diagnosis, Breast Neoplasms diagnosis, Carcinoma, Intraductal, Noninfiltrating diagnosis, Endoscopy methods, Nipple Discharge, Nipples pathology
Abstract

Background/aim: The study aimed at investigating the correlation between ductoscopic and histopathological findings and clarify whether the former allow for accurate prediction of malignancy., Patients and Methods: The prospective national multi-center study covered a sample of 224 patients with pathologic nipple discharge. A total of 214 patients underwent ductoscopy with subsequent extirpation of the mammary duct. The ductoscopic findings were categorized according to shape, number, color and surface structure of lesions and vascularity and compared to the histological results and analyses., Results: Ductoscopy revealed lesions in 134 of 214 patients (62.2%). The criteria "multiple versus solitary lesion" differed significantly between malignant and benign lesions. All other criteria were not statistically significant. Malignant tumors were more frequently presented as multiple lesions, benign lesions or masses as solitary lesions (80% vs. 24.8%; p=0.018)., Conclusion: The ductoscopic criterion "solitary vs. multiple lesion" appears to have a low diagnostic prediction of malignancy or benignity., (Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

Published
2020
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47. Genetic architecture of subcortical brain structures in 38,851 individuals.

Author

Satizabal CL, Adams HHH, Hibar DP, White CC, Knol MJ, Stein JL, Scholz M, Sargurupremraj M, Jahanshad N, Roshchupkin GV, Smith AV, Bis JC, Jian X, Luciano M, Hofer E, Teumer A, van der Lee SJ, Yang J, Yanek LR, Lee TV, Li S, Hu Y, Koh JY, Eicher JD, Desrivières S, Arias-Vasquez A, Chauhan G, Athanasiu L, Rentería ME, Kim S, Hoehn D, Armstrong NJ, Chen Q, Holmes AJ, den Braber A, Kloszewska I, Andersson M, Espeseth T, Grimm O, Abramovic L, Alhusaini S, Milaneschi Y, Papmeyer M, Axelsson T, Ehrlich S, Roiz-Santiañez R, Kraemer B, Håberg AK, Jones HJ, Pike GB, Stein DJ, Stevens A, Bralten J, Vernooij MW, Harris TB, Filippi I, Witte AV, Guadalupe T, Wittfeld K, Mosley TH, Becker JT, Doan NT, Hagenaars SP, Saba Y, Cuellar-Partida G, Amin N, Hilal S, Nho K, Mirza-Schreiber N, Arfanakis K, Becker DM, Ames D, Goldman AL, Lee PH, Boomsma DI, Lovestone S, Giddaluru S, Le Hellard S, Mattheisen M, Bohlken MM, Kasperaviciute D, Schmaal L, Lawrie SM, Agartz I, Walton E, Tordesillas-Gutierrez D, Davies GE, Shin J, Ipser JC, Vinke LN, Hoogman M, Jia T, Burkhardt R, Klein M, Crivello F, Janowitz D, Carmichael O, Haukvik UK, Aribisala BS, Schmidt H, Strike LT, Cheng CY, Risacher SL, Pütz B, Fleischman DA, Assareh AA, Mattay VS, Buckner RL, Mecocci P, Dale AM, Cichon S, Boks MP, Matarin M, Penninx BWJH, Calhoun VD, Chakravarty MM, Marquand AF, Macare C, Kharabian Masouleh S, Oosterlaan J, Amouyel P, Hegenscheid K, Rotter JI, Schork AJ, Liewald DCM, de Zubicaray GI, Wong TY, Shen L, Sämann PG, Brodaty H, Roffman JL, de Geus EJC, Tsolaki M, Erk S, van Eijk KR, Cavalleri GL, van der Wee NJA, McIntosh AM, Gollub RL, Bulayeva KB, Bernard M, Richards JS, Himali JJ, Loeffler M, Rommelse N, Hoffmann W, Westlye LT, Valdés Hernández MC, Hansell NK, van Erp TGM, Wolf C, Kwok JBJ, Vellas B, Heinz A, Olde Loohuis LM, Delanty N, Ho BC, Ching CRK, Shumskaya E, Singh B, Hofman A, van der Meer D, Homuth G, Psaty BM, Bastin ME, Montgomery GW, Foroud TM, Reppermund S, Hottenga JJ, Simmons A, Meyer-Lindenberg A, Cahn W, Whelan CD, van Donkelaar MMJ, Yang Q, Hosten N, Green RC, Thalamuthu A, Mohnke S, Hulshoff Pol HE, Lin H, Jack CR Jr, Schofield PR, Mühleisen TW, Maillard P, Potkin SG, Wen W, Fletcher E, Toga AW, Gruber O, Huentelman M, Davey Smith G, Launer LJ, Nyberg L, Jönsson EG, Crespo-Facorro B, Koen N, Greve DN, Uitterlinden AG, Weinberger DR, Steen VM, Fedko IO, Groenewold NA, Niessen WJ, Toro R, Tzourio C, Longstreth WT Jr, Ikram MK, Smoller JW, van Tol MJ, Sussmann JE, Paus T, Lemaître H, Schroeter ML, Mazoyer B, Andreassen OA, Holsboer F, Depondt C, Veltman DJ, Turner JA, Pausova Z, Schumann G, van Rooij D, Djurovic S, Deary IJ, McMahon KL, Müller-Myhsok B, Brouwer RM, Soininen H, Pandolfo M, Wassink TH, Cheung JW, Wolfers T, Martinot JL, Zwiers MP, Nauck M, Melle I, Martin NG, Kanai R, Westman E, Kahn RS, Sisodiya SM, White T, Saremi A, van Bokhoven H, Brunner HG, Völzke H, Wright MJ, van 't Ent D, Nöthen MM, Ophoff RA, Buitelaar JK, Fernández G, Sachdev PS, Rietschel M, van Haren NEM, Fisher SE, Beiser AS, Francks C, Saykin AJ, Mather KA, Romanczuk-Seiferth N, Hartman CA, DeStefano AL, Heslenfeld DJ, Weiner MW, Walter H, Hoekstra PJ, Nyquist PA, Franke B, Bennett DA, Grabe HJ, Johnson AD, Chen C, van Duijn CM, Lopez OL, Fornage M, Wardlaw JM, Schmidt R, DeCarli C, De Jager PL, Villringer A, Debette S, Gudnason V, Medland SE, Shulman JM, Thompson PM, Seshadri S, and Ikram MA

Subjects
Adult, Aged, Animals, Cohort Studies, Drosophila melanogaster genetics, Drosophila melanogaster growth & development, Humans, Magnetic Resonance Imaging, Middle Aged, Organ Size, Brain anatomy & histology, Brain metabolism, Drosophila melanogaster metabolism, Genetic Variation, Genome-Wide Association Study, Neurodevelopmental Disorders genetics, Neurodevelopmental Disorders pathology
Abstract

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

Published
2019
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48. A deep learning framework for efficient analysis of breast volume and fibroglandular tissue using MR data with strong artifacts.

Author

Ivanovska T, Jentschke TG, Daboul A, Hegenscheid K, Völzke H, and Wörgötter F

Subjects
Adult, Algorithms, Artifacts, Female, Humans, Breast Density physiology, Breast Neoplasms diagnostic imaging, Deep Learning, Magnetic Resonance Imaging methods
Abstract

Purpose: The main purpose of this work is to develop, apply, and evaluate an efficient approach for breast density estimation in magnetic resonance imaging data, which contain strong artifacts including intensity inhomogeneities., Methods: We present a pipeline for breast density estimation, which consists of intensity inhomogeneity correction, breast volume segmentation, nipple extraction, and fibroglandular tissue segmentation. For the segmentation steps, a well-known deep learning architecture is employed., Results: The average Dice coefficient for the breast parenchyma is [Formula: see text], which outperforms the classical state-of-the-art approach by a margin of [Formula: see text]., Conclusion: The proposed solution is accurate and highly efficient and has potential to be applied for big epidemiological data with thousands of participants.

Published
2019
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49. Reference values for the cervical spinal canal and the vertebral bodies by MRI in a general population.

Author

Nell C, Bülow R, Hosten N, Schmidt CO, and Hegenscheid K

Subjects
Adult, Age Factors, Aged, Aged, 80 and over, Body Height, Body Mass Index, Body Weight, Cervical Vertebrae anatomy & histology, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Reference Values, Sex Factors, Spinal Canal anatomy & histology, Young Adult, Cervical Vertebrae diagnostic imaging, Magnetic Resonance Imaging standards, Spinal Canal diagnostic imaging
Abstract

Purpose: To provide population-based reference values for cervical spinal canal parameters and vertebral body (VB) width and to study their associations with sex, age, body height, body weight and body mass index (BMI) using MRI., Methods: Cross-sectional analyses included data from 2,453 participants, aged 21-89 years, of the population-based Study of Health in Pomerania (SHIP) who underwent whole-body MRI at 1.5 Tesla between July 2008 and March 2011. A standardised reading was performed for the C2-C7 cervical spine levels at sagittal T2 TSE weighted sequences., Results: Reference intervals for spinal canal parameters were similar in males and females, while VB width was on average 2.1-2.2 mm larger in males. Age effects were only substantial regarding VB width with a 0.5 mm per ten-year age increase. Body height effects were only substantial regarding the osseous spinal canal and VB width. Body weight and BMI effects are mostly not substantial., Conclusions: Our study provides MRI-based reference values for the cervical spinal canal parameters in an adult Caucasian population. Except for VB width, associations with sex, age and somatometric measures are mostly small and thus have only limited clinical implications. Some available cut-off values may need a revision because they likely overestimate risks., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: This study was supported by the commercial funder Siemens Healthcare. This does not alter the authors’ adherence to PLOS ONE policies on sharing data and materials.

Published
2019
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50. Domains of physical activity and brain volumes: A population-based study.

Author

Jochem C, Baumeister SE, Wittfeld K, Leitzmann MF, Bahls M, Schminke U, Markus MRP, Felix SB, Völzke H, Hegenscheid K, Dörr M, and Jörgen Grabe H

Subjects
Adult, Aged, Aged, 80 and over, Cohort Studies, Female, Humans, Image Interpretation, Computer-Assisted methods, Magnetic Resonance Imaging, Male, Middle Aged, Prospective Studies, Brain anatomy & histology, Exercise physiology
Abstract

Observational studies and intervention trials suggest that physical activity (PA) is beneficial for human brain morphology, especially in older individuals. Few population-based studies examined whether domain-specific PA is associated with brain volumes. Accordingly, we studied putative associations of PA during leisure time, sports and work with volumes of the hippocampus, the prefrontal cortex, the temporal lobe, gray matter (GM), white matter (WM) and total brain (TBV) after 5.9 years by applying volumetric analysis and voxel-based morphometry (VBM) with SPM 8/VBM 8 to brain magnetic resonance imaging data of 834 participants (447 women) aged 25 to 83 years from the population-based Study of Health in Pomerania. The Baecke questionnaire was used to assess domain-specific PA (Leisure time, Sport, and Work Index) at baseline. After correcting for multiple testing, volumetric analyses did not show any significant association of domain-specific PA and volumes of the hippocampus, the prefrontal cortex, the temporal lobe, GM, WM and TBV. Multivariable-adjusted VBM analyses of the associations between PA domains with GM and WM volumes did not reveal any statistically significant results. Region of interest analyses revealed a statistically significant cluster of increased GM volume in the bilateral anterior cingulate cortex in association with PA during sports. In conclusion, the overall results contrast with the findings from previous studies that found significant associations between PA and brain volumes. In addition, it remains unclear whether a differential association exists between domains of PA and brain volumes. Thus, future studies with larger sample size and prospective design are needed to investigate potential domain-specific associations of PA with brain volumes., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Published
2017
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