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iBack SIGNED

Individualized treatment planning in chronic back pain patients by advanced imaging and multi-parametric biomechanical models

Total Cost €

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EC-Contrib. €

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Partnership

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Project "iBack" data sheet

The following table provides information about the project.

Coordinator
KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN 

Organization address
address: ISMANINGER STRASSE 22
city: MUENCHEN
postcode: 81675
website: http://www.med.tu.muenchen.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website https://deep-spine.de
 Total cost 1˙493˙492 €
 EC max contribution 1˙493˙492 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-06-01   to  2020-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN DE (MUENCHEN) coordinator 1˙229˙616.00
2    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 263˙876.00

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 Project objective

Chronic back pain is a major burden and source of disability worldwide. It is primarily attributed to biomechanical factors. In elderly patients, osteoporosis complicates the biomechanical scenario. Surgery is often required to treat instability-related pain and to restore the balance of the spine. However, when and how to perform surgery remains a highly subjective decision based on the surgeon’s experience, with 2/3 of patients experiencing prolonged pain. We recently established objective, image-based criteria for surgery outcome prediction. As an example, we were able to develop tools for routine density and fracture assessment and demonstrate that screw loosening occurs in >85% of patients with bone mineral density <92 mg/ccm. This directly influences the surgical approach in all spine surgery patients at our institution. Additionally, we improved the prediction of bone strength by advanced image post processing such as scaling indices, finite element and finite cell models. The high-level objective of iBack is to individualize therapy planning in back pain patients. We will improve in-vivo imaging and image analysis to compute individualized biomechanical models that reveal the underlying pathophysiologic process and allow personalized treatment planning and outcome prediction after spine surgery or conservative treatment. The main objectives of iBack are: (1) improving computed tomography (CT) and magnetic resonance imaging (MRI) of the spine; (2) combining sagittal balance radiographs, CT and MRI of the spine in one biomechanical multi-body simulation (MBS); (3) creating a statistical model that includes both clinical and biomechanical information to reveal interactions between the two and to predict individual treatment success probability. The results of iBack will help to better understand instability-related pain and develop personalized surgical strategies which will have major impacts on patients.

 Publications

year authors and title journal last update
List of publications.
2019 Michael Dieckmeyer, Stefan Ruschke, Alexander Rohrmeier, Jan Syväri, Ingo Einspieler, Vanadin Seifert-Klauss, Monika Schmidmayr, Stephan Metz, Jan S. Kirschke, Ernst J. Rummeny, Claus Zimmer, Dimitrios C. Karampinos, Thomas Baum
Vertebral bone marrow fat fraction changes in postmenopausal women with breast cancer receiving combined aromatase inhibitor and bisphosphonate therapy
published pages: , ISSN: 1471-2474, DOI: 10.1186/s12891-019-2916-2
BMC Musculoskeletal Disorders 20/1 2020-01-30
2019 Ferdinand Roski, Johannes Hammel, Kai Mei, Thomas Baum, Jan S. Kirschke, Alexis Laugerette, Felix K. Kopp, Jannis Bodden, Daniela Pfeiffer, Franz Pfeiffer, Ernst J. Rummeny, Peter B. Noël, Alexandra S. Gersing, Benedikt J. Schwaiger
Bone mineral density measurements derived from dual-layer spectral CT enable opportunistic screening for osteoporosis
published pages: 6355-6363, ISSN: 0938-7994, DOI: 10.1007/s00330-019-06263-z
European Radiology 29/11 2020-01-30
2019 Stephanie Inhuber, Nico Sollmann, Sarah Schlaeger, Michael Dieckmeyer, Egon Burian, Caroline Kohlmeyer, Dimitrios C. Karampinos, Jan S. Kirschke, Thomas Baum, Florian Kreuzpointner, Ansgar Schwirtz
Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging
published pages: , ISSN: 2509-9280, DOI: 10.1186/s41747-019-0123-4
European Radiology Experimental 3/1 2020-01-30
2019 Sarah Schlaeger, Dominik Weidlich, Elisabeth Klupp, Federica Montagnese, Marcus Deschauer, Benedikt Schoser, Sarah Bublitz, Stefan Ruschke, Claus Zimmer, Ernst J. Rummeny, Jan S. Kirschke, Dimitrios C. Karampinos
Water T 2 Mapping in Fatty Infiltrated Thigh Muscles of Patients With Neuromuscular Diseases Using a T 2 ‐Prepared 3D Turbo Spin Echo With SPAIR
published pages: , ISSN: 1053-1807, DOI: 10.1002/jmri.27032
Journal of Magnetic Resonance Imaging 2020-01-30
2017 Lam Nguyen, Stein Stoter, Thomas Baum, Jan Kirschke, Martin Ruess, Zohar Yosibash, Dominik Schillinger
Phase-field boundary conditions for the voxel finite cell method: Surface-free stress analysis of CT-based bone structures
published pages: e2880, ISSN: 2040-7939, DOI: 10.1002/cnm.2880
International Journal for Numerical Methods in Biomedical Engineering 33/12 2019-12-02
2018 Barbara Cervantes, Anh T. Van, Dominik Weidlich, Hendrick Kooijman, Andreas Hock, Ernst J. Rummeny, Alexandra Gersing, Jan S. Kirschke, Dimitrios C. Karampinos
Isotropic resolution diffusion tensor imaging of lumbosacral and sciatic nerves using a phase-corrected diffusion-prepared 3D turbo spin echo
published pages: 609-618, ISSN: 0740-3194, DOI: 10.1002/mrm.27072
Magnetic Resonance in Medicine 80/2 2019-12-02
2019 J.N. Jomo, F. de Prenter, M. Elhaddad, D. D\'Angella, C.V. Verhoosel, S. Kollmannsberger, J.S. Kirschke, V. Nübel, E.H. van Brummelen, E. Rank
Robust and parallel scalable iterative solutions for large-scale finite cell analyses
published pages: 14-30, ISSN: 0168-874X, DOI: 10.1016/j.finel.2019.01.009
Finite Elements in Analysis and Design 163 2019-12-02
2017 Kai Mei, Benedikt J. Schwaiger, Felix K. Kopp, Sebastian Ehn, Alexandra S. Gersing, Jan S. Kirschke, Daniela Muenzel, Alexander A. Fingerle, Ernst J. Rummeny, Franz Pfeiffer, Thomas Baum, Peter B. Noël
Bone mineral density measurements in vertebral specimens and phantoms using dual-layer spectral computed tomography
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-17855-4
Scientific Reports 7/1 2019-12-02
2016 Felix K. Kopp, Konstantin Holzapfel, Thomas Baum, Radin A. Nasirudin, Kai Mei, Eduardo G. Garcia, Rainer Burgkart, Ernst J. Rummeny, Jan S. Kirschke, Peter B. Noël
Effect of Low-Dose MDCT and Iterative Reconstruction on Trabecular Bone Microstructure Assessment
published pages: e0159903, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0159903
PLOS ONE 11/7 2019-12-02
2016 D. Anitha, Karupppasamy Subburaj, Kai Mei, Felix K. Kopp, Peter Foehr, Peter B. Noel, Jan S. Kirschke, Thomas Baum
Effects of dose reduction on bone strength prediction using finite element analysis
published pages: 38441, ISSN: 2045-2322, DOI: 10.1038/srep38441
Scientific Reports 6 2019-12-02
2018 Mohamed Elhaddad, Nils Zander, Tino Bog, László Kudela, Stefan Kollmannsberger, Jan S. Kirschke, Thomas Baum, Martin Ruess, Ernst Rank
Multi-level h p -finite cell method for embedded interface problems with application in biomechanics
published pages: , ISSN: 2040-7939, DOI: 10.1002/cnm.2951
International Journal for Numerical Methods in Biomedical Engineering 2019-12-02
2016 Thomas Baum, Christian Cordes, Michael Dieckmeyer, Stefan Ruschke, Daniela Franz, Hans Hauner, Jan S. Kirschke, Dimitrios C. Karampinos
MR-based assessment of body fat distribution and characteristics
published pages: 1512-1518, ISSN: 0720-048X, DOI: 10.1016/j.ejrad.2016.02.013
European Journal of Radiology 85/8 2019-12-02
2018 Thomas Baum, Alexander Rohrmeier, Jan Syväri, Maximilian N. Diefenbach, Daniela Franz, Michael Dieckmeyer, Andreas Scharr, Hans Hauner, Stefan Ruschke, Jan S. Kirschke, Dimitrios C. Karampinos
Anatomical Variation of Age-Related Changes in Vertebral Bone Marrow Composition Using Chemical Shift Encoding-Based Water–Fat Magnetic Resonance Imaging
published pages: , ISSN: 1664-2392, DOI: 10.3389/fendo.2018.00141
Frontiers in Endocrinology 9 2019-12-02
2017 Thomas Baum; Christian Holwein; Christoph Schaeffeler; Klaus Woertler; Imhoff, Andreas B; Kirschke, Jan S.; Ernst J Rummeny; Jungmann, Pia M.; Sepp Braun
Diagnostic Value of CT Arthrography for Evaluation of Osteochondral Lesions at the Ankle
published pages: , ISSN: 2314-6141, DOI: 10.1155/2016/3594253
BioMed Research International, Vol 2016 (2016) 1 2019-12-02
2017 Elisabeth Klupp, Dominik Weidlich, Sarah Schlaeger, Thomas Baum, Barbara Cervantes, Marcus Deschauer, Hendrik Kooijman, Ernst J. Rummeny, Claus Zimmer, Jan S. Kirschke, Dimitrios C. Karampinos
B1-insensitive T2 mapping of healthy thigh muscles using a T2-prepared 3D TSE sequence
published pages: e0171337, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0171337
PLOS ONE 12/2 2019-12-02
2016 Thomas Baum, Stephanie Inhuber, Michael Dieckmeyer, Christian Cordes, Stefan Ruschke, Elisabeth Klupp, Pia M. Jungmann, Rosanna Farlock, Holger Eggers, Hendrik Kooijman, Ernst J. Rummeny, Ansgar Schwirtz, Jan S. Kirschke, Dimitrios C. Karampinos
Association of Quadriceps Muscle Fat With Isometric Strength Measurements in Healthy Males Using Chemical Shift Encoding-Based Water-Fat Magnetic Resonance Imaging
published pages: 447-451, ISSN: 0363-8715, DOI: 10.1097/RCT.0000000000000374
Journal of Computer Assisted Tomography 40/3 2019-12-02
2016 Johannes Kaesmacher, Hans Liebl, Thomas Baum, Jan Stefan Kirschke
Bone Mineral Density Estimations From Routine Multidetector Computed Tomography
published pages: 1, ISSN: 0363-8715, DOI: 10.1097/RCT.0000000000000518
Journal of Computer Assisted Tomography 2019-12-02
2017 Kai Mei, Felix K. Kopp, Rolf Bippus, Thomas Köhler, Benedikt J. Schwaiger, Alexandra S. Gersing, Andreas Fehringer, Andreas Sauter, Daniela Münzel, Franz Pfeiffer, Ernst J. Rummeny, Jan S. Kirschke, Peter B. Noël, Thomas Baum
Is multidetector CT-based bone mineral density and quantitative bone microstructure assessment at the spine still feasible using ultra-low tube current and sparse sampling?
published pages: 5261-5271, ISSN: 0938-7994, DOI: 10.1007/s00330-017-4904-y
European Radiology 27/12 2019-12-02

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