Publications in the NUM

Lücke J, Böttcher M, Nawrocki M, Meins N, Schnell J, Heinrich F, Bertram F, Sabihi M, Seeger P, Pfaff M, Notz S, Blankenburg T, Zhang T, Kempski J, Reeh M, Wolter S, Mann O, Lütgehetmann M, Hackert T, Izbicki JR, Duprée A, Huber S, Ondruschka B, Giannou AD. Obesity and diabetes mellitus are associated with SARS-CoV-2 outcomes without influencing signature genes of extrapulmonary immune compartments at the RNA level. Heliyon. 2024 Jan.; 10(2):e24508.      [DOI]      [File] 

S* S, J* H, C L, D F, M B, AM K, I P, L H, K A, C A, S C, CM D, C D, M G, R H, W H, A K, T K, D K, K L, JJ M, E R, N S, S S, T , HF W, J S, authorship) . Pandemic Preparedness – A proposal for a research infrastructure and its functionalities for a resilient health research system / Pandemic Preparedness – Ein Vorschlag für eine Forschungsinfrastruktur und ihre Funktionalitäten für ein resilientes Gesundheitsforschungssystem. Gesundheitswesen. 2024;      [DOI]      [File] 

Rong Z, Mai H, Ebert G, Kapoor S, Puelles VG, Czogalla J, Hu S, Su J, Prtvar D, Singh I, Schädler J, Delbridge C, Steinke H, Frenzel H, Schmidt K, Braun C, Bruch G, Ruf V, Sühs K, Nemati M, Hopfner F, Ulukaya S, Jeridi D, Mistretta D, Caliskan OS, Wettengel JM, Cherif F, Kolabas ZI, Molbay M, Horvath I, Zhao S, Krahmer N, Yildirim AÖ, Ussar S, Herms J, Huber TB, Tahirovic S, Schwarzmaier SM, Plesnila N, Höglinger G, Ondruschka B, Bechmann I, Protzer U, Elsner M, Bhatia HS, Hellal F, Erturk A. Persistence of spike protein at the skull-meninges-brain axis may contribute to the neurological sequelae of COVID-19. Cell Host & Microbe. 2024 Dec.; 32(12):2112-2130.      [DOI]      [File] 

Schädler J, Lütgehetmann M, Schröder AS, Edler C, Püschel K, Ondruschka B, Fitzek A. Pilot study in Hamburg on the prevalence of SARS-CoV-2 infections and pandemic survey in the German funeral industry. Forensic Science, Medicine and Pathology. 2024 Jun.; 20(2):500—507.      [DOI]      [File] 

Gaertner F, Ishikawa-Ankerhold H, Stutte S, Fu W, Weitz J, Dueck A, Nelakuditi B, Fumagalli V, Van Den Heuvel D, Belz L, Sobirova G, Zhang Z, Titova A, Navarro AM, Pekayvaz K, Lorenz M, Von Baumgarten L, Kranich J, Straub T, Popper B, Zheden V, Kaufmann WA, Guo C, Piontek G, Von Stillfried S, Boor P, Colonna M, Clauß S, Schulz C, Brocker T, Walzog B, Scheiermann C, Nerlov C, Stark K, Petzold T, Engelhardt S, Sixt M, Hauschild R, Rudelius M, Oostendorp RAJ, Iannacone M, Heinig M, Massberg S. Plasmacytoid dendritic cells control homeostasis of megakaryopoiesis. Nature. 2024 Jul.; 631(8021):645—653.      [DOI]      [File] 

A S, C M, J S, J H, A P, D D, R B, T L, N T, F B. Post-coronavirus disease 2019-associated symptoms among children and adolescents in the SARS-CoV-2 Omicron era.. European journal of pediatrics. 2024 Dec.;      [DOI] 

Lahmer T, Weirich G, Porubsky S, Rasch S, Kammerstetter FA, Schustetter C, Schüffler P, Erber J, Dibos M, Delbridge C, Kuhn PH, Jeske S, Steinhardt M, Chaker A, Heim M, Heemann U, Schmid RM, Weichert W, Stock KF, Slotta-Huspenina J. Postmortem Minimally Invasive Autopsy in Critically Ill COVID-19 Patients at the Bedside: A Proof-of-Concept Study at the ICU. Diagnostics. 2024 Jan.; 14(3):294.      [DOI]      [File] 

J S, C S, BH A, W H, T B, M M, M M. Prediction of Seropositivity in Suspected Autoimmune Encephalitis by Use of Radiomics: A Radiological Proof-of-Concept Study.. Diagnostics (Basel, Switzerland). 2024 May;      [DOI] 

S TA, A Z, Kuhl C, M M, S N, R B, D R, D T, G K. Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging.. Communications medicine. 2024 Mar.;      [DOI] 

Brinkmann F, Friedrichs A, Behrens G, Behrens P, Berner R, Caliebe A, Denkinger C, Giesbrecht K, Gussew A, Hoffmann AT, Hojenski L, Hovardovska O, Dopfer-Jablonka A, Kaasch AJ, Kobbe R, Kraus M, Lindner A, Maier C, Mitrov L, Nauck M, Miranda SN, Scherer M, Schmiedel Y, Stahl D, Timmesfeld N, Toepfner N, Vehreschild J, Wohlgemuth WA, Petersmann A, Vehreschild MJGT. Prevalence of infectious diseases, immunity to vaccine-preventable diseases and chronic medical conditions among Ukrainian refugees in Germany - A cross sectional study from the German Network University Medicine (NUM). Journal of infection and public health. 2024; 17(4):642—649.      [DOI] 

Brinkmann F, Friedrichs A, Behrens G, Behrens P, Berner R, Caliebe A, Denkinger C, Giesbrecht K, Gussew A, Hoffmann AT, Hojenski L, Hovardovska O, Dopfer-Jablonka A, Kaasch AJ, Kobbe R, Kraus M, Lindner A, Maier C, Mitrov L, Nauck M, Miranda SN, Scherer M, Schmiedel Y, Stahl D, Timmesfeld N, Toepfner N, Vehreschild J, Wohlgemuth WA, Petersmann A, Vehreschild MJGT. Prevalence of infectious diseases, immunity to vaccine-preventable diseases and chronic medical conditions among Ukrainian refugees in Germany – a cross sectional study from the German Network University Medicine (NUM). Journal of Infection and Public Health. 2024; Online ahead of print      [DOI]      [File] 

T P. Prostate MRI: what to consider when shopping for AI tools.. European radiology. 2024 Dec.;      [DOI] 

T P. Prostate-MRI reporting should be done with the aid of AI systems: Pros.. European radiology. 2024 Dec.;      [DOI] 

Radke J, Meinhardt J, Aschman T, Chua RL, Farztdinov V, Lukassen S, Ten FW, Friebel E, Ishaque N, Franz J, Huhle VH, Mothes R, Peters K, Thomas C, Schneeberger S, Schumann E, Kawelke L, Jünger J, Horst V, Streit S, Manitius R, Körtvélyessy P, Vielhaber S, Reinhold D, Hauser AE, Osterloh A, Enghard P, Ihlow J, Elezkurtaj S, Horst D, Kurth F, Müller M, Gassen NC, Melchert J, Jechow K, Timmermann B, Fernandez-Zapata C, Böttcher C, Stenzel W, Krüger E, Landthaler M, Wyler E, Corman V, Stadelmann C, Ralser M, Eils R, Heppner FL, Mülleder M, Conrad C, Radbruch H. Proteomic and transcriptomic profiling of brainstem, cerebellum and olfactory tissues in early- and late-phase COVID-19. Nature Neuroscience. 2024 Mar.; 27(3):409–420.      [DOI] 

L C, EG B, F R, S B, S H, J B, K R, C S, T K, JA D. Radiomics Feature Stability in True and Virtual Non-Contrast Reconstructions from Cardiac Photon-Counting Detector CT Datasets.. Diagnostics (Basel, Switzerland). 2024 Nov.;      [DOI] 

A S, S Z, M H, HJ M, A A, J B. Radiomics parameters of epicardial adipose tissue predict mortality in acute pulmonary embolism.. Respiratory research. 2024 Oct.;      [DOI] 

K S, E B, Schäfer S, VD V, J S, AG W, GA K. Re-identification of anonymised MRI head images with publicly available software: investigation of the current risk to patient privacy.. EClinicalMedicine. 2024 Dec.;      [DOI] 

Misailovski M, Koller D, Blaschke S, Berens M, Köster A, Strobl R, Berner R, Boor P, Eisenmann M, Stillfried S, Krefting D, Krone M, Liese J, Meybohm P, Ulrich- Merzenich G, Zenker S, Scheithauer S, Grill E. Refining the hospitalization rate: A mixed methods approach to differentiate primary COVID-19 from incidental cases. Infection Prevention in Practice. 2024 Sep.; 6(3):100371.      [DOI]      [File] 

Zhang L, Kempf A, Nehlmeier I, Cossmann A, Richter A, Bdeir N, Graichen L, Moldenhauer A, Dopfer-Jablonka A, Stankov M, Simon-Loriere E, Schulz S, Jäck H, Cičin-Šain L, Behrens G, Drosten C, Hoffmann M, Pöhlmann S. SARS-CoV-2 BA.2.86 enters lung cells and evades neutralizing antibodies with high efficiency. Cell. 2024;      [DOI] 

Zhang L, Kempf A, Nehlmeier I, Cossmann A, Richter A, Bdeir N, Graichen L, Moldenhauer A, Dopfer-Jablonka A, Stankov MV, Simon-Loriere E, Schulz SR, Jaeck H, Čičin-Šain L, Behrens GMN, Drosten C, Hoffmann M, Poehlmann S. SARS-CoV-2 BA.2.86 enters lung cells and evades neutralizing antibodies with high efficiency. Cell. 2024;      [DOI]      [File] 

Mohme M, Schultheiß C, Piffko A, Fitzek A, Paschold L, Thiele B, Püschel K, Glatzel M, Westphal M, Lamszus K, Matschke J, Binder M. SARS-CoV-2-associated T-cell infiltration in the central nervous system. Clinical & Translational Immunology. 2024 Jan.; 13(2):e1487.      [DOI]      [File] 

J G, DJ S, K H, M B, L Q, S A, S B, A G, M B, A G, S L, T P, T Z, O B. Seeing the primary tumor because of all the trees: Cancer type prediction on low-dimensional data.. Frontiers in medicine. 2024 Aug.;      [DOI] 

P T, C K, D B, Liebold A, Beer M, HA K. Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio.. Scientific reports. 2024 Mar.;      [DOI] 

J E, CM J, S S, I M, H C, M M, K M, E C, GK L, S B, G A, E T. Sex-specific ventricular morphology, function, and tissue characteristics in arterial hypertension: a magnetic resonance study of the Hamburg city health cohort.. European radiology. 2024 Nov.;      [DOI] 

I S, A Z, LJ F, D S, HJ M, M H, C M, JH N, JR K, J B, A S. Short-term mortality prediction in acute pulmonary embolism: Radiomics values of skeletal muscle and intramuscular adipose tissue.. Journal of cachexia, sarcopenia and muscle. 2024 Aug.;      [DOI] 

A S, B K, S A, A A, S A, EG B, J B, E B, A B, SM B, C E, M G, S G, A G, F G, A H, P J, C K, J K, MD K, C L, N L, M M, FG M, HJ M, A M, T P, LP S, M S, G A, B V. Standardization of a CT Protocol for Imaging Patients with Suspected COVID-19-A RACOON Project.. Bioengineering (Basel, Switzerland). 2024 Feb.;      [DOI] 

Meinhardt J, Streit S, Dittmayer C, Manitius Rv, Radbruch H, Heppner FL. The neurobiology of SARS-CoV-2 infection. Nature Reviews Neuroscience. 2024 Jan.; 25(1):30—42.      [DOI]      [File] 

J K, P F, MF F, JP G, C B, AI I, D M, C H, T P, N GH. The worldwide COVID-19 pandemic caused a decline in sonographic examinations - is this a continuing trend?. RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin. 2024 Dec.;      [DOI] 

Y P, F B, Gebler R, R G, A H, E H, D K, S L, A V, M S. Use of Metadata-Driven Approaches for Data Harmonization in the Medical Domain: Scoping Review.. JMIR medical informatics. 2024 Feb.;      [DOI] 

S S, V S, JJM R, VA Z, R B, TT M, D R. Using UK Biobank data to establish population-specific atlases from whole body MRI.. Communications medicine. 2024 Nov.;      [DOI] 

AM B, J E, J D, R S, T H, E F, M W, T P, B H, FK C, T V, J K, Beeres M. Value of MRI - T2 Mapping to Differentiate Clinically Significant Prostate Cancer.. Journal of imaging informatics in medicine. 2024 Dec.;      [DOI] 

Kombeiz A, Bienzeisler J, Majeed RW, Röhrig R, Group AR. Designing a User-Friendly Data Request Management System for a Growing Health Data Network – A Case Study in the AKTIN Registry. In: Stoicu-Tivadar, Lăcrămioara and Benis, Arriel and Deserno, Thomas M. and Bolboacă, Sorana D. and Saranto, Kaija and Crişan-Vida, Mihaela and Gallos, Parisis and Chirila, Oana S. and Weber, Patrick and Mihalaş, George and Tamburis, Oscar, editors. Studies in Health Technology and Informatics. IOS Press; 2024 Nov..      [DOI]      [File] 

J E, N A, C M, R H, O S, L H, L R, A S, J S, M G. Entwicklung eines Kerndatensatzes von Qualitätsindikatoren für Qualität und Patientensicherheit während Pandemien in Universitätskliniken in Deutschland.. In: 23. Deutscher Kongress für Versorgungsforschung (DKVF), Potsdam. 2024.      [DOI]      [File] 

TODO

JMM R, L M, Baumgärtner G, N F, JC R, J N, S O, M G, Schmidt B, P S, H A, C F, T P. A machine learning tool to improve prediction of mediastinal lymph node metastases in non-small cell lung cancer using routinely obtainable [¹⁸F]FDG-PET/CT parameters.. European journal of nuclear medicine and molecular imaging. 2023 Jun.;      [DOI] 

Appel KS, Geisler R, Maier D, Miljukov O, Hopff SM, Vehreschild JJ. A systematic review of predictor composition, outcomes, risk of bias, and validation of COVID-19 prognostic scores. Clin. Infect. Dis.. 2023 Oct.;      [DOI]  [Pubmed] 

M K, M I, U T, F G. Added value of chest CT in a machine learning-based prediction model to rule out COVID-19 before inpatient admission: A retrospective university network study.. European journal of radiology. 2023 Jun.;      [DOI] 

AS S, S P, A K, S A, D K, M S, H S, AG C, CM F. Admission rates and clinical profiles of children and youth with eating disorders treated as inpatients before and during the COVID-19 pandemic in a German university hospital.. Frontiers in public health. 2023;      [DOI] 

F M, J K, R S, H L, P F, Y J, M R, D L, M W, W L, M N, Y S, L A, X H, D M, A G, I K, A B, D M, Zhang L, F T, M L, M P, Zhang H, T P. AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study.. European radiology. 2023 Jun.;      [DOI] 

Salzberger B, Mellmann A, Bludau A, Ciesek S, Corman V, Dilthey A, Donker T, Eckmanns T, Egelkamp R, Gatermann S, Grundmann H, Häcker G, Kaase M, Lange B, Mielke M, Pletz M, Semmler T, Thürmer A, Wieler L, Wolff T, Widmer A, Scheithauer S. An appeal for strengthening genomic pathogen surveillance to improve pandemic preparedness and infection prevention: the German perspective. Infection. 2023 Aug.; 51(4):805—811.      [DOI] 

Salzberger B, Mellmann A, Bludau A, Ciesek S, Corman V, Dilthey A, Donker T, Eckmanns T, Egelkamp R, Gaterman SG, Grundmann H, Haecker G, Kaase M, Lange B, Mielke M, Pletz MW, Semmler T, Thuermer A, Wieler LH, Wolff T, Widmer AF, Scheithauer S. An appeal for strengthening genomic pathogen surveillance to improve pandemic preparedness and infection prevention: the German perspective. Infection. 2023;      [DOI]      [File] 

Steinbeis F, Thibeault C, Steinbrecher S, Haack IA, August D, Balzuweit B, Bellinghausen C, Berger S, Chaplinskaya-Sobol I, Cornely O, Doeblin P, Endres M, Fink C, Finke C, Frank S, Hanß S, Hartung T, Hellmuth JC, Herold S, Heuschmann P, Heyckendorf J, Heyder R, Hippenstiel S, Hoffmann W, Kelle SU, Knape P, Koehler P, Kretzler L, Leistner DM, Lienau J, Lorbeer R, Lorenz-Depiereux B, Lüttke CD, Mai K, Merle U, Meyer-Arndt LA, Miljukov O, Muenchhoff M, Müller-Plathe M, Neuhann J, Neuhauser H, Nieters A, Otte C, Pape D, Pinto R, Pley C, Pudszuhn A, Reuken P, Rieg S, Ritter P, Rohde G, Rönnefarth M, Ruzicka M, Schaller J, Schmidt A, Schmidt S, Schwachmeyer V, Schwanitz G, Seeger W, Stahl D, Stobäus N, Stubbe HC, Suttorp N, Temmesfeld B, Thun S, Triller P, Trinkmann F, Vadasz I, Valentin H, Vehreschild M, Kalle C, Lilienfeld-Toal M, Weber J, Welte T, Wildberg C, Wizimirski R, Zvork S, Sander LE, Vehreschild J, Zoller T, Kurth F, Witzenrath M. Analysis of acute COVID-19 including chronic morbidity: protocol for the deep phenotyping National Pandemic Cohort Network in Germany (NAPKON-HAP). Infection. 2023 Jul.; 52(1):93-104.      [DOI]  [Pubmed] 

Hellwig D, Hellwig NC, Boehner S, Fuchs T, Fischer R, Schmidt D. Artificial intelligence and deep learning for advancing PET image reconstruction: State-of-the-art and future directions. Nuklearmedizin. 2023; 62(6):334—342.      [DOI]  [Weblink] 

PP J, C E, AM B, T P, Lukas M, J K, T D. Challenges in Implementing the Local Node Infrastructure for a National Federated Machine Learning Network in Radiology.. Healthcare (Basel, Switzerland). 2023 Aug.;      [DOI] 

M E, M D, N N, Schmidt C, M L, M S. Classifying sex with volume-matched brain MRI.. Neuroimage. Reports. 2023 Sep.;      [DOI] 

HJ M, B M, A W, A S. Clinical importance of thoracal lymphadenopathy in COVID-19.. Journal of infection and public health. 2023 Aug.;      [DOI] 

Gagiannis D, Hackenbroch C, Bloch W, Zech F, Kirchhoff F, Djudjaj S, Stillfried S, Bülow R, Boor P, Steinestel K. Clinical, Imaging, and Histopathological Features of Pulmonary Sequelae Following Mild COVID-19. American Journal of Respiratory and Critical Care Medicine. 2023 Sep.; 208(5):618-621.      [DOI]      [File] 

S TA, P I, M S, G M, F K, JN K, Kuhl C, S N, D T. Collaborative training of medical artificial intelligence models with non-uniform labels.. Scientific reports. 2023 Apr.;      [DOI] 

Bräutigam K, Reinhard S, Wartenberg M, Forster S, Greif K, Granai M, Bösmüller H, Klingel K, Schürch CM. Comprehensive analysis of SARS-CoV-2 receptor proteins in human respiratory tissues identifies alveolar macrophages as potential virus entry site. Histopathology. 2023 May; 82(6):846—859.      [DOI] 

Yusuf KO, Schoneberg A, Hanß S, Wiesenfeldt M, Stecher M, Mitrov L, Hopff SM, Steinbrecher S, Kurth F, Bahmer T, Schreiber S, Pape D, Hofmann A, Kohls M, Störk S, Stubbe HC, Tebbe JJ, Hellmuth JC, Erber J, Krist L, Rieg S, Pilgram L, Vehreschild JJ, Reese J, Krefting D. Consistency as a Data Quality Measure for German Corona Consensus Items Mapped from National Pandemic Cohort Network Data Collections. Methods Inf Med. 2023 Jan.; 62(S 01):e47—e56.      [DOI]