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Yang Z, Liu C, Shi Z, Qin J. IDEAL-IQ combined with intravoxel incoherent motion diffusion-weighted imaging for quantitative diagnosis of osteoporosis. BMC Med Imaging 2024; 24:155. [PMID: 38902641 PMCID: PMC11188172 DOI: 10.1186/s12880-024-01326-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 06/07/2024] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND Osteoporosis (OP) is a common chronic metabolic bone disease characterized by decreased bone mineral content and microstructural damage, leading to increased fracture risk. Traditional methods for measuring bone density have limitations in accurately distinguishing vertebral bodies and are influenced by vertebral degeneration and surrounding tissues. Therefore, novel methods are needed to quantitatively assess changes in bone density and improve the accurate diagnosis of OP. METHODS This study aimed to explore the applicative value of the iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron (IDEAL-IQ) sequence combined with intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for the diagnosis of osteoporosis. Data from 135 patients undergoing dual-energy X-ray absorptiometry (DXA), IDEAL-IQ, and IVIM-DWI were prospectively collected and analyzed. Various parameters obtained from IVIM-DWI and IDEAL-IQ sequences were compared, and their diagnostic efficacy was evaluated. RESULTS Statistically significant differences were observed among the three groups for FF, R2*, f, D, DDC values, and BMD values. FF and f values exhibited negative correlations with BMD values, with r=-0.313 and - 0.274, respectively, while R2*, D, and DDC values showed positive correlations with BMD values, with r = 0.327, 0.532, and 0.390, respectively. Among these parameters, D demonstrated the highest diagnostic efficacy for osteoporosis (AUC = 0.826), followed by FF (AUC = 0.713). D* exhibited the lowest diagnostic performance for distinguishing the osteoporosis group from the other two groups. Only D showed a significant difference between genders. The AUCs for IDEAL-IQ, IVIM-DWI, and their combination were 0.74, 0.89, and 0.90, respectively. CONCLUSIONS IDEAL-IQ combined with IVIM-DWI provides valuable information for the diagnosis of osteoporosis and offers evidence for clinical decisions. The superior diagnostic performance of IVIM-DWI, particularly the D value, suggests its potential as a more sensitive and accurate method for diagnosing osteoporosis compared to IDEAL-IQ. These findings underscore the importance of integrating advanced imaging techniques into clinical practice for improved osteoporosis management and highlight the need for further research to explore the full clinical implications of these imaging modalities.
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Affiliation(s)
- Zhe Yang
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China
| | - Chenglong Liu
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China
| | - Zhaojuan Shi
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China
| | - Jian Qin
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong, 271000, China.
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Evrard R, Manon J, Rafferty C, Fieve L, Cornu O, Kirchgesner T, Lecouvet FE, Schubert T, Lengele B. Vascular study of decellularized porcine long bones: Characterization of a tissue engineering model. Bone 2024; 182:117073. [PMID: 38493932 DOI: 10.1016/j.bone.2024.117073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/12/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
INTRODUCTION Massive bone allografts enable the reconstruction of critical bone defects in numerous conditions (e.g. tumoral, infection or trauma). Unfortunately, their biological integration remains insufficient and the reconstruction may suffer from several postoperative complications. Perfusion-decellularization emerges as a tissue engineering potential solution to enhance osseointegration. Therefore, an intrinsic vascular study of this novel tissue engineering tool becomes essential to understand its efficacy and applicability. MATERIAL AND METHODS 32 porcine long bones (humeri and femurs) were used to assess the quality of their vascular network prior and after undergoing a perfusion-decellularization protocol. 12 paired bones were used to assess the vascular matrix prior (N = 6) and after our protocol (N = 6) by immunohistochemistry. Collagen IV, Von Willebrand factor and CD31 were targeted then quantified. The medullary macroscopic vascular network was evaluated with 12 bones: 6 were decellularized and the other 6 were, as control, not treated. All 12 underwent a contrast-agent injection through the nutrient artery prior an angio CT-scan acquisition. The images were processed and the length of medullary vessels filled with contrast agent were measured on angiographic cT images obtained in control and decellularized bones by 4 independent observers to evaluate the vascular network preservation. The microscopic cortical vascular network was evaluated on 8 bones: 4 control and 4 decellularized. After injection of gelatinous fluorochrome mixture (calcein green), non-decalcified fluoroscopic microscopy was performed in order to assess the perfusion quality of cortical vascular lacunae. RESULTS The continuity of the microscopic vascular network was assessed with Collagen IV immunohistochemistry (p-value = 0.805) while the decellularization quality was observed through CD31 and Von Willebrand factor immunohistochemistry (p-values <0.001). The macroscopic vascular network was severely impaired after perfusion-decellularization; nutrient arteries were still patent but the amount of medullary vascular channels measured was significantly higher in the control group compared to the decellularized group (p-value <0.001). On average, the observers show good agreement on these results, except in the decellularized group where more inter-observer discrepancies were observed. The microscopic vascular network was observed with green fluoroscopic signal in almost every canals and lacunae of the bone cortices, in three different bone locations (proximal metaphysis, diaphysis and distal metaphysis). CONCLUSION Despite the aggressiveness of the decellularization protocol on medullary vessels, total porcine long bones decellularized by perfusion retain an acellular cortical microvascular network. By injection through the intact nutrient arteries, this latter vascular network can still be used as a total bone infusion access for bone tissue engineering in order to enhance massive bone allografts prior implantation.
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Affiliation(s)
- R Evrard
- Institut de Recherche Expérimentale et Clinique, Neuro Musculo-Skeletal Lab, Université Catholique de Louvain (UCLouvain), Avenue E. Mounier, 52-B1.52.04, 1200 Bruxelles, Belgium; Service de Chirurgie Orthopédique et Traumatologique, Cliniques Universitaires Saint-Luc, UCLouvain, Avenue Hippocrate 10, 1200 Bruxelles, Belgium.
| | - J Manon
- Institut de Recherche Expérimentale et Clinique, Neuro Musculo-Skeletal Lab, Université Catholique de Louvain (UCLouvain), Avenue E. Mounier, 52-B1.52.04, 1200 Bruxelles, Belgium; Service de Chirurgie Orthopédique et Traumatologique, Cliniques Universitaires Saint-Luc, UCLouvain, Avenue Hippocrate 10, 1200 Bruxelles, Belgium
| | - C Rafferty
- Institut de Recherche Expérimentale et Clinique, Pôle Morphologie, UCLouvain, Avenue E. Mounier, 52-B1.52.04, 1200 Bruxelles, Belgium
| | - L Fieve
- Institut de Recherche Expérimentale et Clinique, Pôle Morphologie, UCLouvain, Avenue E. Mounier, 52-B1.52.04, 1200 Bruxelles, Belgium
| | - O Cornu
- Institut de Recherche Expérimentale et Clinique, Neuro Musculo-Skeletal Lab, Université Catholique de Louvain (UCLouvain), Avenue E. Mounier, 52-B1.52.04, 1200 Bruxelles, Belgium; Service de Chirurgie Orthopédique et Traumatologique, Cliniques Universitaires Saint-Luc, UCLouvain, Avenue Hippocrate 10, 1200 Bruxelles, Belgium; Unité de Thérapie Tissulaire et Cellulaire de l'Appareil Locomoteur, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200 Bruxelles, Belgium
| | - T Kirchgesner
- Département d'Imagerie Médicale, Institut de Recherche Expérimentale et Clinique (Pôle IMAG), Cliniques Universitaires Saint-Luc, UCLouvain, Avenue Hippocrate 10, 1200 Bruxelles, Belgium
| | - F E Lecouvet
- Département d'Imagerie Médicale, Institut de Recherche Expérimentale et Clinique (Pôle IMAG), Cliniques Universitaires Saint-Luc, UCLouvain, Avenue Hippocrate 10, 1200 Bruxelles, Belgium
| | - T Schubert
- Institut de Recherche Expérimentale et Clinique, Neuro Musculo-Skeletal Lab, Université Catholique de Louvain (UCLouvain), Avenue E. Mounier, 52-B1.52.04, 1200 Bruxelles, Belgium; Service de Chirurgie Orthopédique et Traumatologique, Cliniques Universitaires Saint-Luc, UCLouvain, Avenue Hippocrate 10, 1200 Bruxelles, Belgium; Unité de Thérapie Tissulaire et Cellulaire de l'Appareil Locomoteur, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200 Bruxelles, Belgium
| | - B Lengele
- Institut de Recherche Expérimentale et Clinique, Pôle Morphologie, UCLouvain, Avenue E. Mounier, 52-B1.52.04, 1200 Bruxelles, Belgium; Service de Chirurgie Plastique, Reconstructrice et Esthétique, Cliniques Universitaires Saint-Luc, UCLouvain, Avenue Hippocrate 10, 1200 Bruxelles, Belgium
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Identification of abnormal BMD and osteoporosis in postmenopausal women with T2*-corrected Q-Dixon and reduced-FOV IVIM: correlation with QCT. Eur Radiol 2022; 32:4707-4717. [DOI: 10.1007/s00330-021-08531-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/13/2021] [Accepted: 12/20/2021] [Indexed: 02/07/2023]
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Improved Performance of Compartments in Detecting the Activity of Axial Spondyloarthritis Based on IVIM DWI with Optimized Threshold
b
Value. BIOMED RESEARCH INTERNATIONAL 2022; 2022:2276102. [PMID: 35047629 PMCID: PMC8763495 DOI: 10.1155/2022/2276102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 12/12/2021] [Accepted: 12/18/2021] [Indexed: 11/25/2022]
Abstract
Purpose To explore the diagnostic performance of the optimized threshold b values on IVIM to detect the activity in axial spondyloarthritis (axSpA) patients. Method 40 axSpA patients in the active group, 144 axSpA patients in the inactive group, and 20 healthy volunteers were used to evaluate the tissue diffusion coefficient (Dslow), perfusion fraction (f), and pseudodiffusion coefficient (Dfast) with b thresholds of 10, 20, and 30 s/mm2. The Kruskal-Wallis test and one way ANOVA test was used to compare the different activity among the three groups in axSpA patients, and receiver operating characteristic (ROC) curve analysis was applied to evaluate the performance for Dslow, f, and Dfast to detect the activity in axSpA patients, respectively. Results Dslow demonstrated a statistical difference between two groups (P < 0.05) with all threshold b values. With the threshold b value of 30 s/mm2, f could discriminate the active from control groups (P < 0.05). Dslow had similar performance between the active and the inactive groups with threshold b values of 10, 20, and 30 s/mm2 (AUC: 0.877, 0.882, and 0.881, respectively, all P < 0.017). Using the optimized threshold b value of 30 s/mm2, f showed the best performance to separate the active from the inactive and the control groups with AUC of 0.613 and 0.738 (both P < 0.017) among all threshold b values. Conclusion Dslow and f exhibited increased diagnostic performance using the optimized threshold b value of 30 s/mm2 compared with 10 and 20 s/mm2, whereas Dfast did not.
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Pace E, MacKinnon AD, deSouza NM. Variation of the apparent diffusion coefficient of skull bone marrow by age group, pubertal status, and gender in a pediatric population. Acta Radiol 2020; 61:1240-1248. [PMID: 31865751 DOI: 10.1177/0284185119894217] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Bone marrow composition varies with stage of development. PURPOSE To assess differences in apparent diffusion coefficient (ADC) derived from clivus bone marrow in healthy children by age, pubertal status, and gender as a benchmark when monitoring local and systemic treatment-induced effects. MATERIAL AND METHODS Non-oncological pediatric patients (30 pre-pubertal [15 girls, 15 boys] and 30 post-pubertal [15 girls, 15 boys]) with previous normal magnetic resonance imaging (MRI) of the brain including diffusion-weighted magnetic resonance imaging (DW-MRI; 1.5-T Philips Achieva-Ingenia, b-values 0 and 1000s/mm2) were studied. A 4-6 mm diameter region of interest (ROI), drawn within the clivus on two or three DW-MRI slices, yielded mean and centile ADC values. Pubertal status was recognized from imaging appearances of the pituitary gland and from fusion of the spheno-occipital synchondrosis. Correlations between ADC and age were assessed (Pearson's coefficient). Mann-Whitney U tests compared ADC by age, pubertal status, and gender. RESULTS Age and ADC were significantly negatively correlated (median ADC r=-0.48, mean ADC r=-0.42, P=0.0001 and 0.0008, respectively) which held true when divided by gender. Mean and median ADC differed significantly before and after puberty for the whole population (P=0.0001 and 0.0001, respectively). There was a left shift of the ADC histogram after puberty with significant differences in centile values. ADC differences before and after puberty remained when divided by gender (girls: P=0.04 and 0.009, respectively; boys: P=0.005 and 0.0002, respectively). CONCLUSION ADC of clivus bone marrow correlates with age in children. ADC decreases significantly after puberty, likely due to replacement of hypercellular marrow with fat. There are no gender-related differences in clivus bone-marrow ADC before or after puberty.
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Affiliation(s)
- Erika Pace
- CRUK Imaging Centre, The Institute of Cancer Research, Sutton, UK
- The Royal Marsden Hospital, Department of Radiology, Sutton, UK
| | - Andrew D MacKinnon
- The Royal Marsden Hospital, Department of Radiology, Sutton, UK
- Department of Neuroradiology, Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Nandita M deSouza
- CRUK Imaging Centre, The Institute of Cancer Research, Sutton, UK
- The Royal Marsden Hospital, Department of Radiology, Sutton, UK
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Fathi Kazerooni A, Pozo JM, McCloskey EV, Saligheh Rad H, Frangi AF. Diffusion MRI for Assessment of Bone Quality; A Review of Findings in Healthy Aging and Osteoporosis. J Magn Reson Imaging 2020; 51:975-992. [PMID: 31709670 PMCID: PMC7078977 DOI: 10.1002/jmri.26973] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 09/25/2019] [Accepted: 09/26/2019] [Indexed: 01/13/2023] Open
Abstract
Diffusion MRI (dMRI) is a growing imaging technique with the potential to provide biomarkers of tissue variation, such as cellular density, tissue anisotropy, and microvascular perfusion. However, the role of dMRI in characterizing different aspects of bone quality, especially in aging and osteoporosis, has not yet been fully established, particularly in clinical applications. The reason lies in the complications accompanied with implementation of dMRI in assessment of human bone structure, in terms of acquisition and quantification. Bone is a composite tissue comprising different elements, each contributing to the overall quality and functional competence of bone. As diffusion is a critical biophysical process in biological tissues, early changes of tissue microstructure and function can affect diffusive properties of the tissue. While there are multiple MRI methods to detect variations of individual properties of bone quality due to aging and osteoporosis, dMRI has potential to serve as a superior method for characterizing different aspects of bone quality within the same framework but with higher sensitivity to early alterations. This is mainly because several properties of the tissue including directionality and anisotropy of trabecular bone and cell density can be collected using only dMRI. In this review article, we first describe components of human bone that can be potentially detected by their diffusivity properties and contribute to variations in bone quality during aging and osteoporosis. Then we discuss considerations and challenges of dMRI in bone imaging, current status, and suggestions for development of dMRI in research studies and clinics to segregate different contributing components of bone quality in an integrated acquisition. Level of Evidence: 5 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:975-992.
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Affiliation(s)
- Anahita Fathi Kazerooni
- Department of Radiology, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Jose M. Pozo
- CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, School of Computing and School of MedicineUniversity of LeedsLeedsUK
| | - Eugene Vincent McCloskey
- Department of Oncology & Metabolism, Mellanby Centre for Bone Research, Centre for Integrated research in Musculoskeletal AgeingUniversity of SheffieldSheffieldUK
| | - Hamidreza Saligheh Rad
- Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular ImagingTehran University of Medical SciencesTehranIran
- Department of Medical Physics and Biomedical EngineeringTehran University of Medical SciencesTehranIran
| | - Alejandro F. Frangi
- CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, School of Computing and School of MedicineUniversity of LeedsLeedsUK
- LICAMM Leeds Institute of Cardiovascular and Metabolic Medicine, School of MedicineUniversity of LeedsLeedsUK
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Chang G, Boone S, Martel D, Rajapakse CS, Hallyburton RS, Valko M, Honig S, Regatte RR. MRI assessment of bone structure and microarchitecture. J Magn Reson Imaging 2017; 46:323-337. [PMID: 28165650 PMCID: PMC5690546 DOI: 10.1002/jmri.25647] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Accepted: 12/21/2016] [Indexed: 12/12/2022] Open
Abstract
Osteoporosis is a disease of weak bone and increased fracture risk caused by low bone mass and microarchitectural deterioration of bone tissue. The standard-of-care test used to diagnose osteoporosis, dual-energy x-ray absorptiometry (DXA) estimation of areal bone mineral density (BMD), has limitations as a tool to identify patients at risk for fracture and as a tool to monitor therapy response. Magnetic resonance imaging (MRI) assessment of bone structure and microarchitecture has been proposed as another method to assess bone quality and fracture risk in vivo. MRI is advantageous because it is noninvasive, does not require ionizing radiation, and can evaluate both cortical and trabecular bone. In this review article, we summarize and discuss research progress on MRI of bone structure and microarchitecture over the last decade, focusing on in vivo translational studies. Single-center, in vivo studies have provided some evidence for the added value of MRI as a biomarker of fracture risk or treatment response. Larger, prospective, multicenter studies are needed in the future to validate the results of these initial translational studies. LEVEL OF EVIDENCE 5 Technical Efficacy: Stage 5 J. MAGN. RESON. IMAGING 2017;46:323-337.
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Affiliation(s)
- Gregory Chang
- Department of Radiology, Center for Biomedical Imaging, NYU Langone Medical Center, New York, New York, USA
| | - Sean Boone
- Department of Radiology, Center for Biomedical Imaging, NYU Langone Medical Center, New York, New York, USA
| | - Dimitri Martel
- Department of Radiology, Center for Biomedical Imaging, NYU Langone Medical Center, New York, New York, USA
| | - Chamith S Rajapakse
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Robert S Hallyburton
- Department of Radiology, Center for Biomedical Imaging, NYU Langone Medical Center, New York, New York, USA
| | - Mitch Valko
- Department of Radiology, Center for Biomedical Imaging, NYU Langone Medical Center, New York, New York, USA
| | - Stephen Honig
- Osteoporosis Center, Hospital for Joint Diseases, NYU Langone Medical Center, New York, New York, USA
| | - Ravinder R Regatte
- Department of Radiology, Center for Biomedical Imaging, NYU Langone Medical Center, New York, New York, USA
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Dietrich O, Geith T, Reiser MF, Baur-Melnyk A. Diffusion imaging of the vertebral bone marrow. NMR IN BIOMEDICINE 2017; 30:e3333. [PMID: 26114411 DOI: 10.1002/nbm.3333] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Revised: 04/27/2015] [Accepted: 05/04/2015] [Indexed: 06/04/2023]
Abstract
Diffusion-weighted MRI (DWI) of the vertebral bone marrow is a clinically important tool for the characterization of bone-marrow pathologies and, in particular, for the differentiation of benign (osteoporotic) and malignant vertebral compression fractures. DWI of the vertebral bone marrow is, however, complicated by some unique MR and tissue properties of vertebral bone marrow. Due to both the spongy microstructure of the trabecular bone and the proximity of the lungs, soft tissue, or large vessels, substantial magnetic susceptibility variations occur, which severely reduce the magnetic field homogeneity as well as the transverse relaxation time T*2 , and thus complicate MRI in particular with echoplanar imaging (EPI) techniques. Therefore, alternative diffusion-weighting pulse sequence types such as single-shot fast-spin-echo sequences or segmented EPI techniques became important alternatives for quantitative DWI of the vertebral bone marrow. This review first describes pulse sequence types that are particularly important for DWI of the vertebral bone marrow. Then, data from 24 studies that made diffusion measurements of normal vertebral bone marrow are reviewed; summarizing all results, the apparent diffusion coefficient (ADC) of normal vertebral bone marrow is typically found to be between 0.2 and 0.6 × 10-3 mm2 /s. Finally, DWI of vertebral compression fractures is discussed. Numerous studies demonstrate significantly greater ADCs in osteoporotic fractures (typically between 1.2 and 2.0 × 10-3 mm2 /s) than in malignant fractures or lesions (typically 0.7-1.3 × 10-3 mm2 /s). Alternatively, several studies used the (qualitative) image contrast of diffusion-weighted acquisitions for differentiation of lesion etiology: a very good lesion differentiation can be achieved, particularly with diffusion-weighted steady-state free precession sequences, which depict malignant lesions as hyperintense relative to normal-appearing vertebral bone marrow, in contrast to hypointense or isointense osteoporotic lesions. Copyright © 2015 John Wiley & Sons, Ltd.
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Affiliation(s)
- Olaf Dietrich
- Josef Lissner Laboratory for Biomedical Imaging, Institute for Clinical Radiology, Ludwig Maximilian University Hospital Munich, Germany
| | - Tobias Geith
- Institute for Clinical Radiology, Ludwig Maximilian University Hospital Munich, Germany
| | - Maximilian F Reiser
- Josef Lissner Laboratory for Biomedical Imaging, Institute for Clinical Radiology, Ludwig Maximilian University Hospital Munich, Germany
- Institute for Clinical Radiology, Ludwig Maximilian University Hospital Munich, Germany
| | - Andrea Baur-Melnyk
- Institute for Clinical Radiology, Ludwig Maximilian University Hospital Munich, Germany
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