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Showing 1201 - 1400 of 2335 Journals sorted alphabetically
J. of Community Health     Hybrid Journal   (Followers: 8, SJR: 0.921, h-index: 44)
J. of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology     Hybrid Journal   (Followers: 7, SJR: 1.087, h-index: 74)
J. of Comparative Physiology B : Biochemical, Systemic, and Environmental Physiology     Hybrid Journal   (Followers: 4, SJR: 1.126, h-index: 59)
J. of Compassionate Health Care     Open Access   (Followers: 2)
J. of Computational Analysis and Applications     Hybrid Journal   (SJR: 0.291, h-index: 19)
J. of Computational Electronics     Hybrid Journal   (Followers: 4, SJR: 0.511, h-index: 20)
J. of Computational Neuroscience     Hybrid Journal   (Followers: 24, SJR: 1.068, h-index: 60)
J. of Computer and Systems Sciences Intl.     Hybrid Journal   (SJR: 0.27, h-index: 13)
J. of Computer Science and Technology     Open Access   (Followers: 5, SJR: 0.437, h-index: 31)
J. of Computer Virology and Hacking Techniques     Hybrid Journal   (Followers: 6, SJR: 0.151, h-index: 2)
J. of Computer-Aided Molecular Design     Hybrid Journal   (Followers: 3, SJR: 0.995, h-index: 78)
J. of Computers in Education     Hybrid Journal   (Followers: 8)
J. of Computing in Higher Education     Hybrid Journal   (Followers: 13, SJR: 0.363, h-index: 21)
J. of Consumer Policy     Hybrid Journal   (Followers: 6, SJR: 0.704, h-index: 30)
J. of Contemporary Mathematical Analysis     Hybrid Journal   (SJR: 0.237, h-index: 5)
J. of Contemporary Physics (Armenian Academy of Sciences)     Hybrid Journal   (Followers: 11, SJR: 0.197, h-index: 6)
J. of Contemporary Psychotherapy     Hybrid Journal   (Followers: 5, SJR: 0.397, h-index: 23)
J. of Control Theory and Applications     Hybrid Journal   (Followers: 2, SJR: 0.359, h-index: 19)
J. of Control, Automation and Electrical Systems     Hybrid Journal   (Followers: 8, SJR: 0.231, h-index: 9)
J. of Crop Science and Biotechnology     Hybrid Journal   (Followers: 7)
J. of Cross-Cultural Gerontology     Hybrid Journal   (Followers: 5, SJR: 0.631, h-index: 29)
J. of Cryptographic Engineering     Partially Free   (Followers: 5, SJR: 0.989, h-index: 11)
J. of Cryptology     Hybrid Journal   (Followers: 2, SJR: 1.443, h-index: 55)
J. of Cultural Economics     Hybrid Journal   (Followers: 4, SJR: 0.539, h-index: 29)
J. of Database Marketing & Customer Strategy Management     Hybrid Journal   (Followers: 8, SJR: 0.149, h-index: 8)
J. of Derivatives & Hedge Funds     Hybrid Journal   (Followers: 9, SJR: 0.114, h-index: 5)
J. of Developmental and Physical Disabilities     Hybrid Journal   (Followers: 8, SJR: 0.574, h-index: 29)
J. of Digital Imaging     Hybrid Journal   (Followers: 10, SJR: 0.578, h-index: 35)
J. of Direct Data and Digital Marketing Practice     Hybrid Journal   (Followers: 8, SJR: 0.154, h-index: 6)
J. of Dynamical and Control Systems     Hybrid Journal   (Followers: 2, SJR: 0.4, h-index: 26)
J. of Dynamics and Differential Equations     Hybrid Journal   (SJR: 1.418, h-index: 31)
J. of Earth Science     Hybrid Journal   (Followers: 8, SJR: 0.483, h-index: 16)
J. of Earth System Science     Open Access   (Followers: 43, SJR: 0.448, h-index: 32)
J. of East Asian Linguistics     Hybrid Journal   (Followers: 5, SJR: 0.537, h-index: 20)
J. of Echocardiography     Hybrid Journal   (Followers: 4, SJR: 0.22, h-index: 3)
J. of Economic Growth     Hybrid Journal   (Followers: 28, SJR: 3.273, h-index: 63)
J. of Economic Interaction and Coordination     Hybrid Journal   (SJR: 0.263, h-index: 12)
J. of Economics     Hybrid Journal   (Followers: 17, SJR: 0.418, h-index: 23)
J. of Economics and Finance     Hybrid Journal   (Followers: 6, SJR: 0.272, h-index: 19)
J. of Educational Change     Hybrid Journal   (Followers: 7, SJR: 0.961, h-index: 21)
J. of Elasticity     Hybrid Journal   (Followers: 6, SJR: 0.851, h-index: 45)
J. of Electroceramics     Hybrid Journal   (SJR: 0.577, h-index: 57)
J. of Electronic Materials     Hybrid Journal   (Followers: 4, SJR: 0.609, h-index: 75)
J. of Electronic Testing     Hybrid Journal   (Followers: 2, SJR: 0.372, h-index: 27)
J. of Electronics (China)     Hybrid Journal   (Followers: 4, SJR: 0.112, h-index: 9)
J. of Elementary Science Education     Hybrid Journal   (Followers: 9)
J. of Engineering Mathematics     Hybrid Journal   (SJR: 0.347, h-index: 37)
J. of Engineering Physics and Thermophysics     Hybrid Journal   (Followers: 1, SJR: 0.288, h-index: 11)
J. of Engineering Research     Open Access   (Followers: 1, SJR: 0.145, h-index: 5)
J. of Engineering Thermophysics     Hybrid Journal   (Followers: 2, SJR: 0.763, h-index: 9)
J. of Environmental Studies and Sciences     Partially Free   (Followers: 2)
J. of Ethology     Hybrid Journal   (Followers: 2, SJR: 0.609, h-index: 25)
J. of Evolution Equations     Hybrid Journal   (SJR: 0.826, h-index: 26)
J. of Evolutionary Biochemistry and Physiology     Hybrid Journal   (SJR: 0.145, h-index: 11)
J. of Evolutionary Economics     Hybrid Journal   (Followers: 8, SJR: 0.492, h-index: 52)
J. of Experimental and Theoretical Physics     Hybrid Journal   (Followers: 3, SJR: 0.458, h-index: 39)
J. of Experimental Criminology     Hybrid Journal   (Followers: 43, SJR: 1.445, h-index: 28)
J. of Failure Analysis and Prevention     Hybrid Journal   (Followers: 5, SJR: 0.261, h-index: 15)
J. of Family and Economic Issues     Hybrid Journal   (Followers: 6, SJR: 0.396, h-index: 32)
J. of Family Violence     Hybrid Journal   (Followers: 35, SJR: 0.639, h-index: 56)
J. of Financial Services Marketing     Hybrid Journal   (Followers: 3, SJR: 0.273, h-index: 10)
J. of Financial Services Research     Hybrid Journal   (Followers: 22, SJR: 0.572, h-index: 36)
J. of Fixed Point Theory and Applications     Hybrid Journal   (SJR: 0.644, h-index: 13)
J. of Fluorescence     Hybrid Journal   (Followers: 3, SJR: 0.465, h-index: 56)
J. of Food Measurement and Characterization     Hybrid Journal   (SJR: 0.307, h-index: 4)
J. of Food Science and Technology     Hybrid Journal   (Followers: 6, SJR: 0.441, h-index: 29)
J. of Forest Research     Hybrid Journal   (Followers: 3, SJR: 0.495, h-index: 27)
J. of Forestry Research     Hybrid Journal   (Followers: 6, SJR: 0.304, h-index: 14)
J. of Fourier Analysis and Applications     Hybrid Journal   (Followers: 1, SJR: 1.18, h-index: 42)
J. of Friction and Wear     Hybrid Journal   (Followers: 7, SJR: 0.373, h-index: 7)
J. of Fusion Energy     Hybrid Journal   (Followers: 3, SJR: 0.387, h-index: 19)
J. of Gambling Studies     Hybrid Journal   (Followers: 6, SJR: 1.171, h-index: 57)
J. of Gastroenterology     Hybrid Journal   (Followers: 11, SJR: 1.651, h-index: 88)
J. of Gastrointestinal Cancer     Hybrid Journal   (Followers: 3, SJR: 0.304, h-index: 39)
J. of Gastrointestinal Surgery     Hybrid Journal   (Followers: 6, SJR: 1.64, h-index: 99)
J. of General Internal Medicine     Hybrid Journal   (Followers: 16, SJR: 1.804, h-index: 134)
J. of General Plant Pathology     Hybrid Journal   (SJR: 0.554, h-index: 22)
J. of Genetic Counseling     Hybrid Journal   (Followers: 5, SJR: 0.902, h-index: 39)
J. of Genetics     Open Access   (Followers: 4, SJR: 0.458, h-index: 28)
J. of Geodesy     Hybrid Journal   (Followers: 8, SJR: 2.173, h-index: 56)
J. of Geographical Sciences     Hybrid Journal   (Followers: 1, SJR: 0.8, h-index: 23)
J. of Geographical Systems     Hybrid Journal   (Followers: 4, SJR: 0.822, h-index: 39)
J. of Geometric Analysis     Hybrid Journal   (SJR: 1.491, h-index: 27)
J. of Geometry     Hybrid Journal   (Followers: 1, SJR: 0.272, h-index: 15)
J. of Global Optimization     Hybrid Journal   (Followers: 4, SJR: 0.992, h-index: 60)
J. of Global Policy and Governance     Hybrid Journal   (Followers: 9)
J. of Grid Computing     Hybrid Journal   (SJR: 1.414, h-index: 37)
J. of Hand and Microsurgery     Hybrid Journal   (Followers: 1)
J. of Happiness Studies     Hybrid Journal   (Followers: 21, SJR: 0.881, h-index: 39)
J. of Hematopathology     Hybrid Journal   (Followers: 4, SJR: 0.2, h-index: 13)
J. of Heuristics     Hybrid Journal   (Followers: 5, SJR: 1.308, h-index: 50)
J. of High Energy Physics     Hybrid Journal   (Followers: 19, SJR: 1.052, h-index: 153)
J. of Homotopy and Related Structures     Hybrid Journal   (SJR: 0.232, h-index: 2)
J. of Housing and the Built Environment     Hybrid Journal   (Followers: 7, SJR: 0.648, h-index: 28)
J. of Huazhong University of Science and Technology [Medical Sciences]     Hybrid Journal   (SJR: 0.344, h-index: 19)
J. of Ichthyology     Hybrid Journal   (Followers: 3, SJR: 0.304, h-index: 10)
J. of Immigrant and Minority Health     Hybrid Journal   (Followers: 10, SJR: 0.759, h-index: 37)
J. of Inclusion Phenomena and Macrocyclic Chemistry     Hybrid Journal   (Followers: 1, SJR: 0.331, h-index: 46)
J. of Indian Philosophy     Hybrid Journal   (Followers: 12, SJR: 0.127, h-index: 12)
J. of Indian Prosthodontic Society     Open Access   (Followers: 1, SJR: 0.164, h-index: 7)
J. of Industrial Microbiology and Biotechnology     Hybrid Journal   (Followers: 14, SJR: 0.966, h-index: 80)
J. of Industry, Competition and Trade     Hybrid Journal   (Followers: 8, SJR: 0.327, h-index: 15)
J. of Infection and Chemotherapy     Hybrid Journal   (Followers: 1, SJR: 0.673, h-index: 46)
J. of Information Technology     Hybrid Journal   (Followers: 52, SJR: 1.474, h-index: 55)
J. of Information Technology Teaching Cases     Hybrid Journal   (Followers: 8)
J. of Infrared, Millimeter and Terahertz Waves     Hybrid Journal   (Followers: 2, SJR: 1.25, h-index: 36)
J. of Inherited Metabolic Disease     Hybrid Journal   (Followers: 2, SJR: 1.389, h-index: 77)
J. of Inorganic and Organometallic Polymers and Materials     Partially Free   (Followers: 8, SJR: 0.338, h-index: 33)
J. of Insect Behavior     Hybrid Journal   (Followers: 9, SJR: 0.569, h-index: 39)
J. of Insect Conservation     Hybrid Journal   (Followers: 10, SJR: 0.872, h-index: 43)
J. of Intelligent and Robotic Systems     Hybrid Journal   (Followers: 2, SJR: 0.629, h-index: 43)
J. of Intelligent Information Systems     Hybrid Journal   (Followers: 1, SJR: 0.691, h-index: 43)
J. of Intelligent Manufacturing     Hybrid Journal   (Followers: 3, SJR: 1.397, h-index: 54)
J. of Interventional Cardiac Electrophysiology     Hybrid Journal   (SJR: 0.93, h-index: 43)
J. of Intl. Business Studies     Hybrid Journal   (Followers: 28, SJR: 4.208, h-index: 130)
J. of Intl. Entrepreneurship     Hybrid Journal   (Followers: 9, SJR: 0.549, h-index: 23)
J. of Intl. Migration and Integration / Revue de l integration et de la migration internationale     Hybrid Journal   (Followers: 12, SJR: 0.308, h-index: 13)
J. of Intl. Relations and Development     Hybrid Journal   (Followers: 20, SJR: 0.793, h-index: 22)
J. of Labor Research     Hybrid Journal   (Followers: 17, SJR: 0.394, h-index: 27)
J. of Logic, Language and Information     Hybrid Journal   (Followers: 7, SJR: 0.288, h-index: 25)
J. of Low Temperature Physics     Hybrid Journal   (Followers: 3, SJR: 0.531, h-index: 52)
J. of Machinery Manufacture and Reliability     Hybrid Journal   (Followers: 2, SJR: 0.203, h-index: 7)
J. of Mammalian Evolution     Hybrid Journal   (Followers: 5, SJR: 1.134, h-index: 37)
J. of Mammary Gland Biology and Neoplasia     Hybrid Journal   (Followers: 2, SJR: 2.252, h-index: 83)
J. of Management and Governance     Hybrid Journal   (Followers: 12, SJR: 0.805, h-index: 33)
J. of Management Control     Hybrid Journal   (Followers: 5, SJR: 0.605, h-index: 6)
J. of Marine Science and Application     Hybrid Journal   (Followers: 3, SJR: 0.439, h-index: 11)
J. of Marine Science and Technology     Hybrid Journal   (Followers: 3, SJR: 0.235, h-index: 19)
J. of Maritime Archaeology     Hybrid Journal   (Followers: 21, SJR: 0.228, h-index: 8)
J. of Market-Focused Management     Hybrid Journal   (Followers: 2)
J. of Marketing Analytics     Hybrid Journal   (Followers: 3)
J. of Material Cycles and Waste Management     Hybrid Journal   (Followers: 3, SJR: 0.449, h-index: 22)
J. of Materials Engineering and Performance     Hybrid Journal   (Followers: 22, SJR: 0.544, h-index: 40)
J. of Materials Science     Hybrid Journal   (Followers: 20, SJR: 0.836, h-index: 123)
J. of Materials Science : Materials in Electronics     Hybrid Journal   (Followers: 5)
J. of Materials Science : Materials in Medicine     Hybrid Journal   (Followers: 5)
J. of Mathematical Biology     Hybrid Journal   (Followers: 12, SJR: 1.011, h-index: 71)
J. of Mathematical Chemistry     Hybrid Journal   (Followers: 5, SJR: 0.497, h-index: 45)
J. of Mathematical Fluid Mechanics     Hybrid Journal   (Followers: 6, SJR: 1.22, h-index: 22)
J. of Mathematical Imaging and Vision     Hybrid Journal   (Followers: 4, SJR: 0.901, h-index: 53)
J. of Mathematical Modelling and Algorithms     Hybrid Journal   (Followers: 2, SJR: 0.414, h-index: 23)
J. of Mathematical Sciences     Hybrid Journal   (SJR: 0.272, h-index: 23)
J. of Mathematics Teacher Education     Hybrid Journal   (Followers: 14, SJR: 1.062, h-index: 20)
J. of Maxillofacial and Oral Surgery     Hybrid Journal   (Followers: 2)
J. of Mechanical Science and Technology     Hybrid Journal   (Followers: 6, SJR: 0.589, h-index: 26)
J. of Medical and Biological Engineering     Hybrid Journal   (Followers: 1, SJR: 0.387, h-index: 18)
J. of Medical Humanities     Hybrid Journal   (Followers: 22, SJR: 0.299, h-index: 18)
J. of Medical Systems     Hybrid Journal   (Followers: 1, SJR: 0.717, h-index: 44)
J. of Medical Toxicology     Hybrid Journal   (Followers: 4, SJR: 0.874, h-index: 28)
J. of Medical Ultrasonics     Hybrid Journal   (Followers: 2, SJR: 0.18, h-index: 13)
J. of Medicine and the Person     Hybrid Journal  
J. of Membrane Biology     Hybrid Journal   (Followers: 2, SJR: 0.738, h-index: 82)
J. of Micro-Bio Robotics     Hybrid Journal   (SJR: 0.28, h-index: 3)
J. of Microbiology     Hybrid Journal   (Followers: 7, SJR: 0.741, h-index: 43)
J. of Mining Science     Hybrid Journal   (Followers: 5, SJR: 0.317, h-index: 16)
J. of Molecular Evolution     Hybrid Journal   (Followers: 9, SJR: 0.952, h-index: 108)
J. of Molecular Histology     Hybrid Journal   (Followers: 2, SJR: 0.755, h-index: 48)
J. of Molecular Medicine     Hybrid Journal   (Followers: 15, SJR: 2.165, h-index: 113)
J. of Molecular Modeling     Hybrid Journal   (Followers: 4, SJR: 0.466, h-index: 50)
J. of Molecular Neuroscience     Partially Free   (Followers: 11, SJR: 0.988, h-index: 69)
J. of Mountain Science     Hybrid Journal   (Followers: 4, SJR: 0.418, h-index: 15)
J. of Muscle Research and Cell Motility     Hybrid Journal   (Followers: 1, SJR: 1.264, h-index: 55)
J. of Nanoparticle Research     Hybrid Journal   (Followers: 3, SJR: 0.583, h-index: 84)
J. of Natural Medicines     Hybrid Journal   (SJR: 0.602, h-index: 28)
J. of Near-Death Studies     Hybrid Journal   (Followers: 2)
J. of Nephrology     Hybrid Journal   (Followers: 5, SJR: 0.689, h-index: 55)
J. of Network and Systems Management     Hybrid Journal   (SJR: 0.466, h-index: 26)
J. of Neural Transmission     Hybrid Journal   (Followers: 2, SJR: 1.034, h-index: 86)
J. of Neuro-Oncology     Hybrid Journal   (Followers: 4, SJR: 1.274, h-index: 90)
J. of Neuroimmune Pharmacology     Hybrid Journal   (Followers: 1, SJR: 1.662, h-index: 45)
J. of Neurology     Hybrid Journal   (Followers: 14, SJR: 1.429, h-index: 105)
J. of NeuroVirology     Hybrid Journal   (Followers: 1, SJR: 0.979, h-index: 69)
J. of Nondestructive Evaluation     Hybrid Journal   (Followers: 9, SJR: 0.863, h-index: 27)
J. of Nonlinear Science     Hybrid Journal   (Followers: 1, SJR: 1.887, h-index: 42)
J. of Nonverbal Behavior     Hybrid Journal   (Followers: 5, SJR: 0.723, h-index: 47)
J. of Nuclear Cardiology     Hybrid Journal   (SJR: 1.024, h-index: 68)
J. of Nutrition, Health and Aging     Hybrid Journal   (Followers: 20, SJR: 0.919, h-index: 60)
J. of Obstetrics and Gynecology of India     Hybrid Journal   (Followers: 6, SJR: 0.214, h-index: 6)
J. of Occupational Rehabilitation     Hybrid Journal   (Followers: 15, SJR: 0.811, h-index: 51)
J. of Ocean Engineering and Marine Energy     Hybrid Journal   (Followers: 1)
J. of Ocean University of China (English Edition)     Hybrid Journal   (Followers: 1, SJR: 0.237, h-index: 11)
J. of Oceanography     Hybrid Journal   (Followers: 10, SJR: 0.796, h-index: 52)
J. of Ocular Biology, Diseases, and Informatics     Hybrid Journal   (SJR: 0.183, h-index: 11)
J. of Optical and Fiber Communications Reports     Hybrid Journal   (Followers: 3)
J. of Optics     Hybrid Journal   (Followers: 8, SJR: 0.214, h-index: 8)
J. of Optimization Theory and Applications     Hybrid Journal   (Followers: 4, SJR: 0.898, h-index: 65)
J. of Ornithology     Hybrid Journal   (Followers: 22)
J. of Orofacial Orthopedics / Fortschritte der Kieferorthopädie     Hybrid Journal   (SJR: 0.574, h-index: 33)
J. of Orthopaedic Science     Hybrid Journal   (Followers: 6, SJR: 0.708, h-index: 48)
J. of Paleolimnology     Hybrid Journal   (Followers: 5, SJR: 0.984, h-index: 64)
J. of Parasitic Diseases     Hybrid Journal   (Followers: 2, SJR: 0.298, h-index: 9)
J. of Pediatric Neuropsychology     Hybrid Journal   (Followers: 3)
J. of Pest Science     Hybrid Journal   (Followers: 2, SJR: 1.341, h-index: 28)
J. of Pharmaceutical Health Care and Sciences     Open Access  
J. of Pharmaceutical Innovation     Hybrid Journal   (Followers: 8, SJR: 0.524, h-index: 17)
J. of Pharmaceutical Investigation     Hybrid Journal   (Followers: 1, SJR: 0.331, h-index: 6)
J. of Pharmacokinetics and Pharmacodynamics     Hybrid Journal   (Followers: 18, SJR: 0.708, h-index: 46)
J. of Phase Equilibria and Diffusion     Hybrid Journal   (Followers: 18, SJR: 0.433, h-index: 36)
J. of Philosophical Logic     Hybrid Journal   (Followers: 8, SJR: 0.704, h-index: 26)
J. of Physiology and Biochemistry     Hybrid Journal   (Followers: 3, SJR: 0.87, h-index: 33)

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Journal Cover European Journal of Nuclear Medicine and Molecular Imaging
  [SJR: 2.08]   [H-I: 106]   [10 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1619-7089 - ISSN (Online) 1619-7070
   Published by Springer-Verlag Homepage  [2335 journals]
  • The need of standardization and of large clinical studies in an emerging
           indication of [ 18 F]FDG PET: the autoimmune encephalitis
    • Authors: Silvia Morbelli; on behalf of the European Association of Nuclear Medicine (EANM) and of the Society of Nuclear Medicine and Molecular Imaging (SNMMI); Javier Arbizu; Jan Booij; Ming-Kai Chen; Gael Chetelat; Donna J. Cross; Mehdi Djekidel; Alexander Drzezga; Ozgul Ekmekcioglu; Valentina Garibotto; Swen Hesse; Kazunari Ishii; Lida Jafari Saraf; Adriaan A. Lammertsma; Ian Law; Dana Mathews; Satoshi Minoshima; Karina Mosci; Marco Pagani; Sabina Pappata; Daniel Hillel Silverman; Alberto Signore; Elsmarieke Van De Giessen; Victor Villemagne; Henryk Barthel
      Pages: 353 - 357
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3589-9
      Issue No: Vol. 44, No. 3 (2017)
  • 123 I-FP-CIT SPECT findings and its clinical relevance in prodromal
           dementia with Lewy bodies
    • Authors: Koji Kasanuki; Eizo Iseki; Kazumi Ota; Daizo Kondo; Yosuke Ichimiya; Kiyoshi Sato; Heii Arai
      Pages: 358 - 365
      Abstract: Purpose Evidence for the prodromal stage of dementia with Lewy bodies (DLB) is very limited. To address this issue, we investigate the 123I-FP-CIT SPECT measure of dopamine transporter binding finding and its clinical relevance. Methods We enrolled subjects into a prodromal DLB group (PRD-DLB) (n = 20) and clinical DLB group (CLIN-DLB) (n = 18) and compared these groups with an Alzheimer’s disease control group (AD) (n = 10). PRD-DLB was defined as patients having the non-motor symptoms associated with Lewy body disease (LBD) [i.e. REM sleep behavior disorder (RBD), olfactory dysfunction, autonomic dysfunction, and depression] and showing characteristic diffuse occipital hypometabolism in 18F-FDG PET. CLIN-DLB was defined as patients fulfilling the established criteria of probable DLB. Striatal specific binding ratio (SBR) of 123I-FP-CIT SPECT was used for objective group comparisons. The correlations between SBR and cognitive function (MMSE), motor symptoms (UPDRS3), and duration of LBD-associated non-motor symptoms were compared between the two DLB groups. Results Mean SBR scores of both PRD-DLB and CLIN-DLB were significantly lower than those of AD. No correlation was found between SBR and MMSE scores. Both in the CLIN-DLB and total DLB groups, SBR scores were negatively correlated with UPDRS3 scores, whereas no correlation was found in PRD-DLB. Among the LBD-related non-motor symptoms, duration of olfactory dysfunction, and RBD demonstrated negative correlation with SBR scores in PRD-DLB. Conclusion 123I-FP-CIT SPECT may play a role for detecting DLB among the subjects in prodromal stage. During this stage, long-term olfactory dysfunction and/or RBD may indicate more severe degeneration of the nigro-striatal dopaminergic pathway.
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3466-6
      Issue No: Vol. 44, No. 3 (2017)
  • Computed-tomography-guided anatomic standardization for quantitative
           assessment of dopamine transporter SPECT
    • Authors: Kota Yokoyama; Etsuko Imabayashi; Kaoru Sumida; Daichi Sone; Yukio Kimura; Noriko Sato; Youhei Mukai; Miho Murata; Hiroshi Matsuda
      Pages: 366 - 372
      Abstract: Purpose For the quantitative assessment of dopamine transporter (DAT) using [123I]FP-CIT single-photon emission computed tomography (SPECT) (DaTscan), anatomic standardization is preferable for achieving objective and user-independent quantification of striatal binding using a volume-of-interest (VOI) template. However, low accumulation of DAT in Parkinson’s disease (PD) would lead to a deformation error when using a DaTscan-specific template without any structural information. To avoid this deformation error, we applied computed tomography (CT) data obtained using SPECT/CT equipment to anatomic standardization. Methods We retrospectively analyzed DaTscan images of 130 patients with parkinsonian syndromes (PS), including 80 PD and 50 non-PD patients. First we segmented gray matter from CT images using statistical parametric mapping 12 (SPM12). These gray-matter images were then anatomically standardized using the diffeomorphic anatomical registration using exponentiated Lie algebra (DARTEL) algorithm. Next, DaTscan images were warped with the same parameters used in the CT anatomic standardization. The target striatal VOIs for decreased DAT in PD were generated from the SPM12 group comparison of 20 DaTscan images from each group. We applied these VOIs to DaTscan images of the remaining patients in both groups and calculated the specific binding ratios (SBRs) using nonspecific counts in a reference area. In terms of the differential diagnosis of PD and non-PD groups using SBR, we compared the present method with two other methods, DaTQUANT and DaTView, which have already been released as software programs for the quantitative assessment of DaTscan images. Results The SPM12 group comparison showed a significant DAT decrease in PD patients in the bilateral whole striatum. Of the three methods assessed, the present CT-guided method showed the greatest power for discriminating PD and non-PD groups, as it completely separated the two groups. Conclusion CT-guided anatomic standardization using the DARTEL algorithm is promising for the quantitative assessment of DaTscan images.
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3496-0
      Issue No: Vol. 44, No. 3 (2017)
  • Intra-lesional spatial correlation of static and dynamic FET-PET
           parameters with MRI-based cerebral blood volume in patients with untreated
    • Authors: Jens Göttler; Mathias Lukas; Anne Kluge; Stephan Kaczmarz; Jens Gempt; Florian Ringel; Mona Mustafa; Bernhard Meyer; Claus Zimmer; Markus Schwaiger; Stefan Förster; Christine Preibisch; Thomas Pyka
      Pages: 392 - 397
      Abstract: Purpose 18F-fluorethyltyrosine-(FET)-PET and MRI-based relative cerebral blood volume (rCBV) have both been used to characterize gliomas. Recently, inter-individual correlations between peak static FET-uptake and rCBV have been reported. Herein, we assess the local intra-lesional relation between FET-PET parameters and rCBV. Methods Thirty untreated glioma patients (27 high-grade) underwent simultaneous PET/MRI on a 3 T hybrid scanner obtaining structural and dynamic susceptibility contrast sequences. Static FET-uptake and dynamic FET-slope were correlated with rCBV within tumour hotspots across patients and intra-lesionally using a mixed-effects model to account for inter-individual variation. Furthermore, maximal congruency of tumour volumes defined by FET-uptake and rCBV was determined. Results While the inter-individual relationship between peak static FET-uptake and rCBV could be confirmed, our intra-lesional, voxel-wise analysis revealed significant positive correlations (median r = 0.374, p < 0.0001). Similarly, significant inter- and intra-individual correlations were observed between FET-slope and rCBV. However, rCBV explained only 12% of the static and 5% of the dynamic FET-PET variance and maximal overlap of respective tumour volumes was 37% on average. Conclusions Our results show that the relation between peak values of MR-based rCBV and static FET-uptake can also be observed intra-individually on a voxel basis and also applies to a dynamic FET parameter, possibly determining hotspots of higher biological malignancy. However, just a small part of the FET-PET signal variance is explained by rCBV and tumour volumes determined by the two modalities showed only moderate overlap. These findings indicate that FET-PET and MR-based rCBV provide both congruent and complimentary information on glioma biology.
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3585-0
      Issue No: Vol. 44, No. 3 (2017)
  • On the accuracy and reproducibility of a novel probabilistic atlas-based
           generation for calculation of head attenuation maps on integrated PET/MR
    • Authors: Kevin T. Chen; David Izquierdo-Garcia; Clare B. Poynton; Daniel B. Chonde; Ciprian Catana
      Pages: 398 - 407
      Abstract: Purpose To propose an MR-based method for generating continuous-valued head attenuation maps and to assess its accuracy and reproducibility. Demonstrating that novel MR-based photon attenuation correction methods are both accurate and reproducible is essential prior to using them routinely in research and clinical studies on integrated PET/MR scanners. Methods Continuous-valued linear attenuation coefficient maps (“μ-maps”) were generated by combining atlases that provided the prior probability of voxel positions belonging to a certain tissue class (air, soft tissue, or bone) and an MR intensity-based likelihood classifier to produce posterior probability maps of tissue classes. These probabilities were used as weights to generate the μ-maps. The accuracy of this probabilistic atlas-based continuous-valued μ-map (“PAC-map”) generation method was assessed by calculating the voxel-wise absolute relative change (RC) between the MR-based and scaled CT-based attenuation-corrected PET images. To assess reproducibility, we performed pair-wise comparisons of the RC values obtained from the PET images reconstructed using the μ-maps generated from the data acquired at three time points. Results The proposed method produced continuous-valued μ-maps that qualitatively reflected the variable anatomy in patients with brain tumor and agreed well with the scaled CT-based μ-maps. The absolute RC comparing the resulting PET volumes was 1.76 ± 2.33 %, quantitatively demonstrating that the method is accurate. Additionally, we also showed that the method is highly reproducible, the mean RC value for the PET images reconstructed using the μ-maps obtained at the three visits being 0.65 ± 0.95 %. Conclusion Accurate and highly reproducible continuous-valued head μ-maps can be generated from MR data using a probabilistic atlas-based approach.
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3489-z
      Issue No: Vol. 44, No. 3 (2017)
  • FDG-PET imaging to detect and characterize infectious disorders; an
           unavoidable path for the foreseeable future
    • Authors: Abass Alavi; Thomas J. Werner
      Pages: 417 - 420
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3606-z
      Issue No: Vol. 44, No. 3 (2017)
  • [ 18 F]FDG PET accurately differentiates infected and non-infected
           non-unions after fracture fixation
    • Authors: Vera Wenter; Nathalie L. Albert; Matthias Brendel; Wolfgang P. Fendler; Clemens C. Cyran; Peter Bartenstein; Jan Friederichs; Jan-Philipp Müller; Matthias Militz; Marcus Hacker; Sven Hungerer
      Pages: 432 - 440
      Abstract: Purpose Complete fracture healing is crucial for good patient outcomes. A major complication in the treatment of fractures is non-union. The pathogenesis of non-unions is not always clear, although implant-associated infections play a significant role, especially after surgical treatment of open fractures. We aimed to evaluate the value of [18F]FDG PET in suspected infections of non-union fractures. Methods We retrospectively evaluated 35 consecutive patients seen between 2000 and 2015 with suspected infection of non-union fractures, treated at a level I trauma center. The patients underwent either [18F]FDG PET/CT (N = 24), [18F]FDG PET (N = 11) plus additional CT (N = 8), or conventional X-ray (N = 3). Imaging findings were correlated with final diagnosis based on intraoperative culture or follow-up. Results In 13 of 35 patients (37 %), infection was proven by either positive intraoperative tissue culture (N = 12) or positive follow-up (N = 1). [18F]FDG PET revealed 11 true-positive, 19 true-negative, three false-positive, and two false-negative results, indicating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of 85 %, 86 %, 79 %, 90 %, and 86 %, respectively. The SUVmax was 6.4 ± 2.7 in the clinically infected group and 3.0 ± 1.7 in the clinically non-infected group (p <0.01). The SUVratio was 5.3 ± 3.3 in the clinically infected group and 2.6 ± 1.5 in the clinically non-infected group (p <0.01). Conclusion [18F]FDG PET differentiates infected from non-infected non-unions with high accuracy in patients with suspected infections of non-union fractures, for whom other clinical findings were inconclusive for a local infection. [18F]FDG PET should be considered for therapeutic management of non-unions.
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3528-9
      Issue No: Vol. 44, No. 3 (2017)
  • Predictive value of [ 18 F]-fluoride PET for monitoring bone remodeling in
           patients with orthopedic conditions treated with a Taylor spatial frame
    • Authors: Alejandro Sanchez-Crespo; Frederik Christiansson; Charlotte Karlsson Thur; Henrik Lundblad; Anders Sundin
      Pages: 441 - 448
      Abstract: Purpose The Taylor Spatial Frame (TSF) is used to correct orthopedic conditions such as correction osteotomies in delayed fracture healing and pseudarthrosis. Long-term TSF-treatments are common and may lead to complications. Current conventional radiological methods are often unsatisfactory for therapy monitoring. Hence, an imaging technique capable of quantifying bone healing progression would be advantageous. Methods A cohort of 24 patients with different orthopedic conditions, pseudarthrosis (n = 10), deformities subjected to correction osteotomy (n = 9), and fracture (n = 5) underwent dynamic [18F]-fluoride (Na18F) PET/CT at 8 weeks and 4 months, respectively, after application of a TSF. Parametric images, corresponding to the net transport rate of [18F]-fluoride from plasma to bone, K i were calculated. The ratio of the maximum K i at PET scan 2 and 1 ( \( {\overline{K}}_{i, \max } \) ) as well as the ratio of the maximum Standard Uptake Value at PET scan 2 and 1 ( \( {\overline{SUV}}_{\max } \) ) were calculated for each individual. Different treatment end-points were scored, and the overall treatment outcome score was compared with the osteoblastic activity progression as scored with \( {\overline{K}}_{i, \max } \) or \( {\overline{SUV}}_{\max } \) . Results \( {\overline{K}}_{i, \max } \) and \( {\overline{SUV}}_{\max } \) were not correlated within each orthopedic group (p > 0.1 for all groups), nor for the pooled population (p = 0.12). The distribution of \( {\overline{K}}_{i, \max } \) was found significantly different among the different orthopedic groups (p = 0.0046) -also for \( {\overline{SUV}}_{\max } \) (p = 0.022). The positive and negative treatment predictive values for \( {\overline{K}}_{i, \max } \) were 66.7 % and 77.8 %, respectively. Corresponding values for \( {\overline{SUV}}_{\max } \) were 25 % and 33.3 % Conclusions The \( {\overline{K}}_{i, \max } \) obtained from dynamic [18F]-fluoride-PET imaging is a promising predictive factor to evaluate changes in bone healing in response to TSF treatment.
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3459-5
      Issue No: Vol. 44, No. 3 (2017)
  • “la synoviorthèse” can more than synovitis!
    • Authors: Jamshid Farahati
      Pages: 459 - 460
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3550-y
      Issue No: Vol. 44, No. 3 (2017)
  • Radiosynoviorthesis in hemophilic arthropathy: pathologic blood pool
           imaging on pre-therapeutic bone scintigraphy is not a predictor of
           treatment success
    • Authors: Amir Sabet; Andreas Christian Strauss; Jan Schmolders; Rahel Bornemann; Amin Sabet; Johannes Oldenburg; Peter Hans Pennekamp; Hans Juergen Biersack; Samer Ezziddin
      Pages: 461 - 467
      Abstract: Purpose Increased articular 99mTc MDP uptake on blood pool imaging (BPI) of patients with rheumatologic conditions is indicative of active inflammatory changes, and has been suggested as a strong predictor of response to radiosynoviorthesis (RSO). In this study, we aimed to assess the value of pretreatment BPI positivity (i.e. scintigraphic-apparent hyperemia) for successful RSO in hemophilic arthropathy. Methods Thirty-four male patients with painful hemophilic arthropathy underwent RSO after failure of conservative treatment. Treated joints comprised the knee in eight, elbow in five, and ankle in 21 patients. Pretreatment triple-phase bone scintigraphy showed hyperemic joints (pathologic BPI) in 17 patients, whereas 17 patients had no increased tracer uptake on BPI. Response to RSO was evaluated 6 months post-treatment by measuring changes in intensity of arthralgia according to the visual analog scale (VAS), bleeding frequency, and range of motion. The association between hyperemia (pathologic BPI) and treatment outcome was examined using nonparametric tests for independent samples. Results Clinically evident pain relief occurred in 26 patients (76.5 %), and the mean VAS decreased from 7.7 ± 1.1 to 4.6 ± 2.7 (p < 0.001). Joint bleeding frequency (hemarthrosis) decreased from 4.5 ± 0.6 to 2.1 ± 0.4 during the first 6 months after RSO (p < 0.001). For both parameters (pain relief and bleeding frequency), patients experienced a similar benefit from RSO regardless of pretreatment BPI: arthralgia (p = 0.312) and frequency of hemarthrosis (p = 0.396). No significant improvement was observed for range of motion, but it was significantly more restricted in hyperemic joints both before (p = 0.036) and after treatment (p = 0.022). Conclusions Hemophilic arthropathy can be effectively treated with RSO regardless of pre-therapeutic BPI. Patients in whom articular hyperemia is not detectable by scintigraphy may have similar (outstanding) outcomes, and thus should not be excluded from treatment.
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3549-4
      Issue No: Vol. 44, No. 3 (2017)
  • The prognostic and predictive value of sstr 2 -immunohistochemistry and
           sstr 2 -targeted imaging in neuroendocrine tumors
    • Authors: Philippe Brunner; Ann-Catherine Jörg; Katharina Glatz; Lukas Bubendorf; Piotr Radojewski; Maria Umlauft; Nicolas Marincek; Petar-Marko Spanjol; Thomas Krause; Rebecca A. Dumont; Helmut R. Maecke; Jan Müller-Brand; Matthias Briel; Anja Schmitt; Aurel Perren; Martin A. Walter
      Pages: 468 - 475
      Abstract: Purpose Our aim was to assess the prognostic and predictive value of somatostatin receptor 2 (sstr2) in neuroendocrine tumors (NETs). Methods We established a tissue microarray and imaging database from NET patients that received sstr2-targeted radiopeptide therapy with yttrium-90-DOTATOC, lutetium-177-DOTATOC or alternative treatment. We used univariate and multivariate analyses to identify prognostic and predictive markers for overall survival, including sstr2-imaging and sstr2-immunohistochemistry. Results We included a total of 279 patients. In these patients, sstr2-immunohistochemistry was an independent prognostic marker for overall survival (HR: 0.82, 95 % CI: 0.67 – 0.99, n = 279, p = 0.037). In DOTATOC patients, sstr2-expression on immunohistochemistry correlated with tumor uptake on sstr2-imaging (n = 170, p < 0.001); however, sstr2-imaging showed a higher prognostic accuracy (positive predictive value: +27 %, 95 % CI: 3 – 56 %, p = 0.025). Sstr2-expression did not predict a benefit of DOTATOC over alternative treatment (p = 0.93). Conclusions Our results suggest sstr2 as an independent prognostic marker in NETs. Sstr2-immunohistochemistry correlates with sstr2-imaging; however, sstr2-imaging is more accurate for determining the individual prognosis.
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3486-2
      Issue No: Vol. 44, No. 3 (2017)
  • Long-term follow-up and role of FDG PET in advanced pancreatic
           neuroendocrine patients treated with 177 Lu-D OTATATE
    • Authors: Maddalena Sansovini; Stefano Severi; Annarita Ianniello; Silvia Nicolini; Lorenzo Fantini; Emilio Mezzenga; Fabio Ferroni; Emanuela Scarpi; Manuela Monti; Alberto Bongiovanni; Sara Cingarlini; Chiara Maria Grana; Lisa Bodei; Giovanni Paganelli
      Pages: 490 - 499
      Abstract: Purpose Lu-DOTATATE (Lu-PRRT) is a valid therapeutic option in differentiated pancreatic neuroendocrine tumors (P-NETs). FDG PET seems to be an important prognostic factor in P-NETs. We evaluated the efficacy of Lu-PRRT and the role of FDG PET in 60 patients with advanced P-NETs. Methods From March 2008 to June 2011, 60 consecutive patients with P-NETs were enrolled in the study. Follow-up lasted until March 2016. Eligible patients were treated with two different total cumulative activities (18.5 or 27.8 GBq in 5 cycles every 6–8 weeks), according to kidney and bone marrow parameters. Results Twenty-eight patients received a mean full activity (FA) of 25.9 GBq and 32 a mean reduced activity (RA) of 18.5 GBq. The disease control rate (DCR), defined as the sum of CR+PR+SD was 85.7 % in the FA group and 78.1 % in the RA group. Median progression-free survival (mPFS) was 53.4 months in the FA group and 21.7 months in the RA group (P = 0.353). Median overall survival (mOS) was not reached (nr) in FA patients and was 63.8 months in the RA group (P = 0.007). Fifty-five patients underwent an FDG PET scan before Lu-PRRT, 32 (58 %) showing an increased FDG uptake in tumor sites. mPFS was 21.1 months in FDG PET-positive patients and 68.7 months in the FDG PET-negative group (P < 0.0002), regardless of the total activity administered. Conclusion Both FA and RA are active in patients undergoing Lu-PRRT. However, an FA of 27.8 GBq of Lu-PRRT prolongs PFS and OS compared to an RA of 18.5 GBq. Our results indicate that FDG PET is an independent prognostic factor in this patient setting.
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3533-z
      Issue No: Vol. 44, No. 3 (2017)
  • **-Postprandial pancreatic [ 11 C]methionine uptake after
           pancreaticoduodenectomy mirrors basal beta cell function and insulin
    • Authors: Emanuel Steiner; Lukas Kazianka; Robert Breuer; Marcus Hacker; Wolfgang Wadsak; Markus Mitterhauser; Thomas Stimpfl; Birgit Reiter; Georgios Karanikas; Johannes Miholic
      Pages: 509 - 516
      Abstract: Purpose [S-methyl-11C]-L-methionine ([11C]MET) uptake in the pancreas might be a central indicator of beta cell function. Since gastric emptying was recently shown to influence glycemic control in subjects after pancreaticoduodenectomy (PD, the surgical treatment of neoplasms of the pancreas head), we looked for imaginable relationships between gastric emptying, pre- and postprandial insulin concentrations, and [11C]MET uptake. Methods Nineteen tumor-free survivors after PD (age mean ± SD: 61 ± 8.7 yrs.; 10 male, 9 female) and 10 healthy controls (age: 27 ± 8.7 yrs.; 7 male, 3 female) were given a mixed test meal. One gram of paracetamol was ingested with the meal to evaluate the speed of gastric emptying. Insulin, glucose, and paracetamol plasma concentrations were measured before and over 180 minutes after ingestion. Beta cell function was calculated from fasting glucose and insulin plasma concentrations. Simultaneously, 800 MBq of [11C]MET were administered and the activity (maximum tissue standardized uptake values [SUVmax]) over the pancreas was measured at 15, 30, and 60 minutes after injection. Total integrated SUVmax (area under the curve [AUC]) and incremental SUVmax were calculated. Results The uptake of [11C]MET in the pancreas was significantly higher (p < 0.0001) in controls compared to the PD group. Gastric emptying was significantly slower in controls compared to pancreatectomy subjects (p < 0.0001). Paracetamol AUC30 correlated with the SUVmax increment between 15 and 30 minutes (R2 = 0.27, p = 0.0263), suggesting a relationship between gastric emptying and the uptake of [11C]MET. Total integrated SUVmax correlated with insulin AUC60 (R2 = 0.66,p < 0.0001) in patients after PD. Multivariate regression analysis revealed insulin AUC60 and beta cell function, calculated from the fasting insulin to glucose ratio, as independent predictors of 11C-methionine uptake, i.e. total integrated SUVmax, in patients after PD (R2 = 0.78, p < 0.0001). Conclusion Postprandial [11C]MET uptake may represent basal and postprandial beta cell function. The findings suggest a possible usefulness of this imaging procedure for further studying beta cell function.
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3451-0
      Issue No: Vol. 44, No. 3 (2017)
  • A systematic review of lessons learned from PET molecular imaging research
           in atypical parkinsonism (Niccolini and Politis, 2016)
    • Authors: Marios Politis
      Pages: 548 - 550
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3597-9
      Issue No: Vol. 44, No. 3 (2017)
  • A systematic review of lessons learned from PET molecular imaging research
           in atypical parkinsonism
    • Authors: Jean-Claude Baron
      Pages: 551 - 552
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3596-x
      Issue No: Vol. 44, No. 3 (2017)
  • Intraindividual tumor heterogeneity in NET – Further insight by C-X-C
           motif chemokine receptor 4-directed imaging
    • Authors: Rudolf A. Werner; Alexander Weich; Andreas Schirbel; Samuel Samnick; Andreas K. Buck; Takahiro Higuchi; Hans-Jürgen Wester; Constantin Lapa
      Pages: 553 - 554
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3566-3
      Issue No: Vol. 44, No. 3 (2017)
  • Asymmetric relapse of an HIV-associated Kaposi sarcoma
    • Authors: Alexandre Bleibtreu; Besma Mahida; Fabrice Bouscarat; Christophe Rioux
      Pages: 555 - 556
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3567-2
      Issue No: Vol. 44, No. 3 (2017)
  • William C. Klingesmith III: The Mathematics and Biology of the
           Biodistribution of Radiopharmaceuticals: A Clinical Perspective
    • Authors: Teresa Mannarino; Luigi Mansi
      Pages: 557 - 558
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3582-3
      Issue No: Vol. 44, No. 3 (2017)
  • Erratum to: The need of standardization and of large clinical studies in
           an emerging indication of [18 F]FDG PET: the autoimmune encephalitis
    • Authors: Silvia Morbelli; on behalf of the European Association of Nuclear Medicine (EANM) and of the Society of Nuclear Medicine and Molecular Imaging (SNMMI); Javier Arbizu; Jan Booij; Ming-Kai Chen; Gael Chetelat; Donna J. Cross; Mehdi Djekidel; Alexander Drzezga; Ozgul Ekmekcioglu; Valentina Garibotto; Swen Hesse; Kazunari Ishii; Lida Jafari; Adriaan A. Lammertsma; Ian Law; Dana Mathews; Satoshi Minoshima; Karina Mosci; Marco Pagani; Sabina Pappata; Daniel Hillel Silverman; Alberto Signore; Elsmarieke Van De Giessen; Victor Villemagne; Henryk Barthel
      Pages: 559 - 560
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3598-8
      Issue No: Vol. 44, No. 3 (2017)
  • Erratum to: Role of PET/CT in malignant pediatric lymphoma
    • Authors: Raef Riad; Walid Omar; Magdy Kotb; Magdy Hafez; Iman Sidhom; Manal Zamzam; Iman Zaky; Hussein Abdel-Dayem
      Pages: 561 - 561
      PubDate: 2017-03-01
      DOI: 10.1007/s00259-016-3600-5
      Issue No: Vol. 44, No. 3 (2017)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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