Literature DB >> 25989618

Whole-Body MR Imaging in the German National Cohort: Rationale, Design, and Technical Background.

Fabian Bamberg1, Hans-Ulrich Kauczor1, Sabine Weckbach1, Christopher L Schlett1, Michael Forsting1, Susanne C Ladd1, Karin Halina Greiser1, Marc-André Weber1, Jeanette Schulz-Menger1, Thoralf Niendorf1, Tobias Pischon1, Svenja Caspers1, Katrin Amunts1, Klaus Berger1, Robin Bülow1, Norbert Hosten1, Katrin Hegenscheid1, Thomas Kröncke1, Jakob Linseisen1, Matthias Günther1, Jochen G Hirsch1, Alexander Köhn1, Thomas Hendel1, Heinz-Erich Wichmann1, Börge Schmidt1, Karl-Heinz Jöckel1, Wolfgang Hoffmann1, Rudolf Kaaks1, Maximilian F Reiser1, Henry Völzke1.   

Abstract

PURPOSE: To detail the rationale, design, and future perspective of implementing whole-body magnetic resonance (MR) imaging in the German National Cohort, a large multicentric population-based study.
MATERIALS AND METHODS: All institutional review boards approved the study, and informed consent is obtained before study enrollment. Participants are enrolled from a random sample of the general population at five dedicated imaging sites among 18 recruitment centers. MR imaging facilities are equipped with identical 3.0-T imager technology and use uniform MR protocols. Imager-specific hardware and software settings remained constant over the study period. On-site and centralized measures of image quality enable monitoring of completeness of the acquisitions and quality of each of the MR sequences. Certified radiologists read all MR imaging studies for presence of incidental findings according to predefined algorithms.
RESULTS: Over a 4-year period, six participants per day are examined at each center, totaling a final imaging cohort of approximately 30 000 participants. The MR imaging protocol is identical for each site and comprises a set of 12 native series to cover neurologic, cardiovascular, thoracoabdominal, and musculoskeletal imaging phenotypes totaling approximately 1 hour of imaging time. A dedicated analysis platform as part of a central imaging core incorporates a thin client-based integrative and modular data handling platform to enable multicentric off-site image reading for incidental findings. Scientific analysis will be pursued on a per-project hypothesis-driven basis.
CONCLUSION: Population-based whole-body MR imaging as part of the German National Cohort will serve to compile a comprehensive image repository, will provide insight into physiologic variants and subclinical disease burden, and has the potential to enable identification of novel imaging biomarkers of risk. (©) RSNA, 2015 Online supplemental material is available for this article.

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Year:  2015        PMID: 25989618     DOI: 10.1148/radiol.2015142272

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  45 in total

1.  MR imaging of the brain in large cohort studies: feasibility report of the population- and patient-based BiDirect study.

Authors:  Anja Teuber; Benedikt Sundermann; Harald Kugel; Wolfram Schwindt; Walter Heindel; Jens Minnerup; Udo Dannlowski; Klaus Berger; Heike Wersching
Journal:  Eur Radiol       Date:  2016-04-08       Impact factor: 5.315

Review 2.  [Incidental findings in musculoskeletal radiology].

Authors:  F Wünnemann; C Rehnitz; M-A Weber
Journal:  Radiologe       Date:  2017-04       Impact factor: 0.635

3.  ImFEATbox: a toolbox for extraction and analysis of medical image features.

Authors:  Annika Liebgott; Thomas Küstner; Heiko Strohmeier; Tobias Hepp; Philipp Mangold; Petros Martirosian; Fabian Bamberg; Konstantin Nikolaou; Bin Yang; Sergios Gatidis
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-09-18       Impact factor: 2.924

4.  Automated MR-based lung volume segmentation in population-based whole-body MR imaging: correlation with clinical characteristics, pulmonary function testing and obstructive lung disease.

Authors:  Jan Mueller; Stefan Karrasch; Roberto Lorbeer; Tatyana Ivanovska; Andreas Pomschar; Wolfgang G Kunz; Ricarda von Krüchten; Annette Peters; Fabian Bamberg; Holger Schulz; Christopher L Schlett
Journal:  Eur Radiol       Date:  2018-08-27       Impact factor: 5.315

5.  Population-based imaging biobanks as source of big data.

Authors:  Sergios Gatidis; Sophia D Heber; Corinna Storz; Fabian Bamberg
Journal:  Radiol Med       Date:  2016-09-09       Impact factor: 3.469

6.  Comparison of T1-weighted 2D TSE, 3D SPGR, and two-point 3D Dixon MRI for automated segmentation of visceral adipose tissue at 3 Tesla.

Authors:  Faezeh Fallah; Jürgen Machann; Petros Martirosian; Fabian Bamberg; Fritz Schick; Bin Yang
Journal:  MAGMA       Date:  2016-09-16       Impact factor: 2.310

7.  Automated reference-free detection of motion artifacts in magnetic resonance images.

Authors:  Thomas Küstner; Annika Liebgott; Lukas Mauch; Petros Martirosian; Fabian Bamberg; Konstantin Nikolaou; Bin Yang; Fritz Schick; Sergios Gatidis
Journal:  MAGMA       Date:  2017-09-20       Impact factor: 2.310

Review 8.  Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis.

Authors:  Takeshi Yokoo; Suraj D Serai; Ali Pirasteh; Mustafa R Bashir; Gavin Hamilton; Diego Hernando; Houchun H Hu; Holger Hetterich; Jens-Peter Kühn; Guido M Kukuk; Rohit Loomba; Michael S Middleton; Nancy A Obuchowski; Ji Soo Song; An Tang; Xinhuai Wu; Scott B Reeder; Claude B Sirlin
Journal:  Radiology       Date:  2017-09-11       Impact factor: 11.105

9.  Inter- and intra-observer variability of an anatomical landmark-based, manual segmentation method by MRI for the assessment of skeletal muscle fat content and area in subjects from the general population.

Authors:  Lena Sophie Kiefer; Jana Fabian; Roberto Lorbeer; Jürgen Machann; Corinna Storz; Mareen Sarah Kraus; Elke Wintermeyer; Christopher Schlett; Frank Roemer; Konstantin Nikolaou; Annette Peters; Fabian Bamberg
Journal:  Br J Radiol       Date:  2018-05-03       Impact factor: 3.039

10.  Prevalence of Fatty Liver Disease and Hepatic Iron Overload in a Northeastern German Population by Using Quantitative MR Imaging.

Authors:  Jens-Peter Kühn; Peter Meffert; Christian Heske; Marie-Luise Kromrey; Carsten O Schmidt; Birger Mensel; Henry Völzke; Markus M Lerch; Diego Hernando; Julia Mayerle; Scott B Reeder
Journal:  Radiology       Date:  2017-05-05       Impact factor: 11.105

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