1
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Graf R, Platzek PS, Riedel EO, Kim SH, Lenhart N, Ramschütz C, Paprottka KJ, Kertels OR, Möller HK, Atad M, Bülow R, Werner N, Völzke H, Schmidt CO, Wiestler B, Paetzold JC, Rueckert D, Kirschke JS. Generating synthetic high-resolution spinal STIR and T1w images from T2w FSE and low-resolution axial Dixon. Eur Radiol 2024:10.1007/s00330-024-11047-1. [PMID: 39231829 DOI: 10.1007/s00330-024-11047-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 06/28/2024] [Accepted: 08/19/2024] [Indexed: 09/06/2024]
Abstract
OBJECTIVES To generate sagittal T1-weighted fast spin echo (T1w FSE) and short tau inversion recovery (STIR) images from sagittal T2-weighted (T2w) FSE and axial T1w gradient echo Dixon technique (T1w-Dixon) sequences. MATERIALS AND METHODS This retrospective study used three existing datasets: "Study of Health in Pomerania" (SHIP, 3142 subjects, 1.5 Tesla), "German National Cohort" (NAKO, 2000 subjects, 3 Tesla), and an internal dataset (157 patients 1.5/3 Tesla). We generated synthetic sagittal T1w FSE and STIR images from sagittal T2w FSE and low-resolution axial T1w-Dixon sequences based on two successively applied 3D Pix2Pix deep learning models. "Peak signal-to-noise ratio" (PSNR) and "structural similarity index metric" (SSIM) were used to evaluate the generated image quality on an ablations test. A Turing test, where seven radiologists rated 240 images as either natively acquired or generated, was evaluated using misclassification rate and Fleiss kappa interrater agreement. RESULTS Including axial T1w-Dixon or T1w FSE images resulted in higher image quality in generated T1w FSE (PSNR = 26.942, SSIM = 0.965) and STIR (PSNR = 28.86, SSIM = 0.948) images compared to using only single T2w images as input (PSNR = 23.076/24.677 SSIM = 0.952/0.928). Radiologists had difficulty identifying generated images (misclassification rate: 0.39 ± 0.09 for T1w FSE, 0.42 ± 0.18 for STIR) and showed low interrater agreement on suspicious images (Fleiss kappa: 0.09 for T1w/STIR). CONCLUSIONS Axial T1w-Dixon and sagittal T2w FSE images contain sufficient information to generate sagittal T1w FSE and STIR images. CLINICAL RELEVANCE STATEMENT T1w fast spin echo and short tau inversion recovery can be retroactively added to existing datasets, saving MRI time and enabling retrospective analysis, such as evaluating bone marrow pathologies. KEY POINTS Sagittal T2-weighted images alone were insufficient for differentiating fat and water and to generate T1-weighted images. Axial T1w Dixon technique, together with a T2-weighted sequence, produced realistic sagittal T1-weighted images. Our approach can be used to retrospectively generate STIR and T1-weighted fast spin echo sequences.
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Affiliation(s)
- Robert Graf
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.
- Institut für KI und Informatik in der Medizin, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
| | - Paul-Sören Platzek
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Evamaria Olga Riedel
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Su Hwan Kim
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Nicolas Lenhart
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Constanze Ramschütz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Karolin Johanna Paprottka
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Olivia Ruriko Kertels
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Hendrik Kristian Möller
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- Institut für KI und Informatik in der Medizin, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Matan Atad
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
- Institut für KI und Informatik in der Medizin, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Robin Bülow
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Nicole Werner
- Institut für Community Medicine, Abteilung SHIP-KEF, University Medicine Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institut für Community Medicine, Abteilung SHIP-KEF, University Medicine Greifswald, Greifswald, Germany
| | - Carsten Oliver Schmidt
- Institut für Community Medicine, Abteilung SHIP-KEF, University Medicine Greifswald, Greifswald, Germany
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Johannes C Paetzold
- Professor of Visual Information Processing, Department of Computing, Imperial College London, London, United Kingdom
| | - Daniel Rueckert
- Institut für KI und Informatik in der Medizin, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Professor of Visual Information Processing, Department of Computing, Imperial College London, London, United Kingdom
| | - Jan Stefan Kirschke
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
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Zeng R, Schlaeger S, Türk M, Baum T, Deschauer M, Janka R, Karampinos D, Kassubek J, Keller-Yamamura S, Kornblum C, Lehmann H, Lichtenstein T, Nagel AM, Reimann J, Rosenbohm A, Schlaffke L, Schmidt M, Schneider-Gold C, Schoser B, Trollmann R, Vorgerd M, Weber MA, Kirschke JS, Schmidt J. [Expert recommendations for magnetic resonance imaging of muscle disorders]. RADIOLOGIE (HEIDELBERG, GERMANY) 2024; 64:653-662. [PMID: 38639916 DOI: 10.1007/s00117-024-01276-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/07/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Magnetic resonance (MRI) imaging of the skeletal muscles (muscle MRI for short) is increasingly being used in clinical routine for diagnosis and longitudinal assessment of muscle disorders. However, cross-centre standards for measurement protocol and radiological assessment are still lacking. OBJECTIVES The aim of this expert recommendation is to present standards for the application and interpretation of muscle MRI in hereditary and inflammatory muscle disorders. METHODS This work was developed in collaboration between neurologists, neuroradiologists, radiologists, neuropaediatricians, neuroscientists and MR physicists from different university hospitals in Germany. The recommendations are based on expert knowledge and a focused literature search. RESULTS The indications for muscle MRI are explained, including the detection and monitoring of structural tissue changes and oedema in the muscle, as well as the identification of a suitable biopsy site. Recommendations for the examination procedure and selection of appropriate MRI sequences are given. Finally, steps for a structured radiological assessment are presented. CONCLUSIONS The present work provides concrete recommendations for the indication, implementation and interpretation of muscle MRI in muscle disorders. Furthermore, it provides a possible basis for the standardisation of the measurement protocols at all clinical centres in Germany.
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Affiliation(s)
- Rachel Zeng
- Klinik für Neurologie, Universitätsmedizin Göttingen, Göttingen, Deutschland
| | - Sarah Schlaeger
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675
- Klinik und Poliklinik für Radiologie, LMU Klinikum, LMU München, München, Deutschland
| | - Matthias Türk
- Neurologische Klinik, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
- Zentrum für seltene Erkrankungen Erlangen (ZSEER), Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Thomas Baum
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675
| | - Marcus Deschauer
- Klinik und Poliklinik für Neurologie, Klinikum rechts der Isar, TUM School of Medicine and Health, Technische Universität München, München, Deutschland
| | - Rolf Janka
- Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Dimitrios Karampinos
- Institut für Diagnostische und Interventionelle Radiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland
| | - Jan Kassubek
- Klinik für Neurologie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - Sarah Keller-Yamamura
- Klinik für Radiologie, Charité Campus Mitte, Charité Universitätsmedizin Berlin, Berlin, Deutschland
| | - Cornelia Kornblum
- Klinik und Poliklinik für Neurologie, Sektion Neuromuskuläre Erkrankungen, Universitätsklinikum Bonn, Bonn, Deutschland
| | - Helmar Lehmann
- Neurologische Klinik, Klinikum Leverkusen, akademisches Lehrkrankenhaus der Universität zu Köln, Köln, Deutschland
- Klinik und Poliklinik für Neurologie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Thorsten Lichtenstein
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Armin M Nagel
- Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Jens Reimann
- Klinik und Poliklinik für Neurologie, Sektion Neuromuskuläre Erkrankungen, Universitätsklinikum Bonn, Bonn, Deutschland
| | - Angela Rosenbohm
- Klinik für Neurologie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - Lara Schlaffke
- Klinik für Neurologie, BG Universitätsklinikum Bergmannsheil, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Manuel Schmidt
- Neuroradiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | | | - Benedikt Schoser
- Friedrich-Baur-Institut an der Neurologischen Klinik und Poliklinik, LMU Klinikum, Ludwig-Maximilians-Universität München, München, Deutschland
| | - Regina Trollmann
- Zentrum für seltene Erkrankungen Erlangen (ZSEER), Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
- Abteilung Neuropädiatrie und Sozialpädiatrisches Zentrum am Universitätsklinikum, Kinder- und Jugendklinik, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Matthias Vorgerd
- Klinik für Neurologie, BG Universitätsklinikum Bergmannsheil, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Marc-André Weber
- Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Rostock, Deutschland
| | - Jan S Kirschke
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675.
| | - Jens Schmidt
- Klinik für Neurologie, Universitätsmedizin Göttingen, Göttingen, Deutschland.
- Abteilung für Neurologie und Schmerztherapie, Neuromuskuläres Zentrum, Zentrum für Translationale Medizin, Immanuel Klinik Rüdersdorf, Universitätsklinikum der Medizinischen Hochschule Brandenburg, Rüdersdorf bei Berlin, Deutschland, Seebad 82/83, 15562.
- Fakultät für Gesundheitswissenschaften Brandenburg, Medizinische Hochschule Brandenburg Theodor Fontane, Rüdersdorf bei Berlin, Deutschland.
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3
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Zeng R, Schlaeger S, Türk M, Baum T, Deschauer M, Janka R, Karampinos D, Kassubek J, Keller-Yamamura S, Kornblum C, Lehmann H, Lichtenstein T, Nagel AM, Reimann J, Rosenbohm A, Schlaffke L, Schmidt M, Schneider-Gold C, Schoser B, Trollmann R, Vorgerd M, Weber MA, Kirschke JS, Schmidt J. [Expert recommendations for magnetic resonance imaging of muscle disorders]. DER NERVENARZT 2024; 95:721-729. [PMID: 38683354 DOI: 10.1007/s00115-024-01673-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
BACKGROUND Magnetic resonance (MRI) imaging of the skeletal muscles (muscle MRI for short) is increasingly being used in clinical routine for diagnosis and longitudinal assessment of muscle disorders. However, cross-centre standards for measurement protocol and radiological assessment are still lacking. OBJECTIVES The aim of this expert recommendation is to present standards for the application and interpretation of muscle MRI in hereditary and inflammatory muscle disorders. METHODS This work was developed in collaboration between neurologists, neuroradiologists, radiologists, neuropaediatricians, neuroscientists and MR physicists from different university hospitals in Germany. The recommendations are based on expert knowledge and a focused literature search. RESULTS The indications for muscle MRI are explained, including the detection and monitoring of structural tissue changes and oedema in the muscle, as well as the identification of a suitable biopsy site. Recommendations for the examination procedure and selection of appropriate MRI sequences are given. Finally, steps for a structured radiological assessment are presented. CONCLUSIONS The present work provides concrete recommendations for the indication, implementation and interpretation of muscle MRI in muscle disorders. Furthermore, it provides a possible basis for the standardisation of the measurement protocols at all clinical centres in Germany.
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Affiliation(s)
- Rachel Zeng
- Klinik für Neurologie, Universitätsmedizin Göttingen, Göttingen, Deutschland
| | - Sarah Schlaeger
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675
- Klinik und Poliklinik für Radiologie, LMU Klinikum, LMU München, München, Deutschland
| | - Matthias Türk
- Neurologische Klinik, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
- Zentrum für seltene Erkrankungen Erlangen (ZSEER), Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Thomas Baum
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675
| | - Marcus Deschauer
- Klinik und Poliklinik für Neurologie, Klinikum rechts der Isar, TUM School of Medicine and Health, Technische Universität München, München, Deutschland
| | - Rolf Janka
- Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Dimitrios Karampinos
- Institut für Diagnostische und Interventionelle Radiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland
| | - Jan Kassubek
- Klinik für Neurologie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - Sarah Keller-Yamamura
- Klinik für Radiologie, Charité Campus Mitte, Charité Universitätsmedizin Berlin, Berlin, Deutschland
| | - Cornelia Kornblum
- Klinik und Poliklinik für Neurologie, Sektion Neuromuskuläre Erkrankungen, Universitätsklinikum Bonn, Bonn, Deutschland
| | - Helmar Lehmann
- Neurologische Klinik, Klinikum Leverkusen, akademisches Lehrkrankenhaus der Universität zu Köln, Köln, Deutschland
- Klinik und Poliklinik für Neurologie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Thorsten Lichtenstein
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Fakultät und Uniklinik Köln, Universität zu Köln, Köln, Deutschland
| | - Armin M Nagel
- Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Jens Reimann
- Klinik und Poliklinik für Neurologie, Sektion Neuromuskuläre Erkrankungen, Universitätsklinikum Bonn, Bonn, Deutschland
| | - Angela Rosenbohm
- Klinik für Neurologie, Universitätsklinikum Ulm, Ulm, Deutschland
| | - Lara Schlaffke
- Klinik für Neurologie, BG Universitätsklinikum Bergmannsheil, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Manuel Schmidt
- Neuroradiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | | | - Benedikt Schoser
- Friedrich-Baur-Institut an der Neurologischen Klinik und Poliklinik, LMU Klinikum, Ludwig-Maximilians-Universität München, München, Deutschland
| | - Regina Trollmann
- Zentrum für seltene Erkrankungen Erlangen (ZSEER), Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
- Abteilung Neuropädiatrie und Sozialpädiatrisches Zentrum am Universitätsklinikum, Kinder- und Jugendklinik, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Deutschland
| | - Matthias Vorgerd
- Klinik für Neurologie, BG Universitätsklinikum Bergmannsheil, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Marc-André Weber
- Institut für Diagnostische und Interventionelle Radiologie, Kinder- und Neuroradiologie, Universitätsmedizin Rostock, Rostock, Deutschland
| | - Jan S Kirschke
- Abteilung für Diagnostische und Interventionelle Neuroradiologie, Klinikum rechts der Isar, Technische Universität München, München, Deutschland, Ismaningerstr. 22, 81675.
| | - Jens Schmidt
- Klinik für Neurologie, Universitätsmedizin Göttingen, Göttingen, Deutschland.
- Abteilung für Neurologie und Schmerztherapie, Neuromuskuläres Zentrum, Zentrum für Translationale Medizin, Immanuel Klinik Rüdersdorf, Universitätsklinikum der Medizinischen Hochschule Brandenburg, Rüdersdorf bei Berlin, Deutschland, Seebad 82/83, 15562.
- Fakultät für Gesundheitswissenschaften Brandenburg, Medizinische Hochschule Brandenburg Theodor Fontane, Rüdersdorf bei Berlin, Deutschland.
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El Khalfi R, Maupoint E, Chiavassa-Gandois H, Goumarre C, Filliole A, Lapègue F, Fabry V, Acket B, Laforet A, Sans N, Cintas P, Faruch-Bilfeld M. Assessment of whole-body muscle MRI for the early diagnosis of Amyotrophic Lateral Sclerosis. Eur J Radiol 2024; 176:111481. [PMID: 38703513 DOI: 10.1016/j.ejrad.2024.111481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/01/2024] [Accepted: 04/25/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES To evaluate muscle signal abnormalities on whole-body muscle MRI with T2 and diffusion-weighted imaging in early ALS stages. METHODS 101 muscles were analyzed in newly diagnosed ALS patients and healthy controls on a whole-body MRI protocol including four-point T2-Dixon imaging and diffusion-weighted imaging (b0 and b800). Sensitivity and inter-observer agreement were assessed. RESULTS 15 patients (mean age, 64 +/- 12 [SD], 9 men) who met the Awaji-Shima criteria for definite, probable or possible ALS and 9 healthy controls were assessed (mean age, 53 +/- 13 [SD], 2 men). 61 % of the muscles assessed in ALS patients (62/101) showed signal hyperintensities on T2-weighted imaging, mainly in the upper and lower extremities (legs, hands and feet). ALS patients had a significantly higher number of involved muscles compared to healthy controls (p = 0,006). Diffusion-weighted imaging allowed for the detection of additional involvement in 22 muscles, thus improving the sensitivity of whole-body MRI from 60 % (using T2-weighted imaging only) up to 80 % (with the combination of T2-weighted and diffusion-weighted imaging). CONCLUSIONS ALS patients exhibited significant muscle signal abnormalities on T2-weighted and diffusion-weighted imaging in early disease stages. Whole-body MRI could be used for pre-EMG mapping of muscle involvement in order to choose suitable targets, thus improving early diagnosis.
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Affiliation(s)
- Rokia El Khalfi
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France.
| | - Estelle Maupoint
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Hélène Chiavassa-Gandois
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Céline Goumarre
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Antoine Filliole
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Franck Lapègue
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Vincent Fabry
- Service de Neurologie - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Blandine Acket
- Service de Neurologie - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Anne Laforet
- Service de Neurologie - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Nicolas Sans
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Pascal Cintas
- Service de Neurologie - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France
| | - Marie Faruch-Bilfeld
- Service d'Imagerie Médicale - Hôpital Purpan - CHU de Toulouse, Avenue du Professeur Jean Dausset, 31000 Toulouse, France.
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5
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Perraton Z, Mosler AB, Lawrenson PR, Weber Ii K, Elliott JM, Wesselink EO, Crossley KM, Kemp JL, Stewart C, Girdwood M, King MG, Heerey JJ, Scholes MJ, Mentiplay BF, Semciw AI. The association between lateral hip muscle size/intramuscular fat infiltration and hip strength in active young adults with long standing hip/groin pain. Phys Ther Sport 2024; 65:95-101. [PMID: 38101293 DOI: 10.1016/j.ptsp.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 12/17/2023]
Abstract
OBJECTIVES To investigate associations between lateral hip muscle size/intramuscular fat infiltration (MFI) and hip strength in active young adults with longstanding hip/groin pain. DESIGN Cross-sectional study. SETTING University/Clinical. PARTICIPANTS Sub-elite soccer and Australian Football players (n = 180; 37 female) with long standing hip/groin pain. MAIN OUTCOME MEASURES Muscle size (volume) and MFI of gluteus maximus, medius, and minimis, and tensor fascia latae (TFL) were assessed using magnetic resonance imaging. Isometric hip strength was measured with handheld dynamometry. Associations between muscle size/MFI were assessed using linear regression models, adjusted for body mass index and age, with sex-specific interactions. RESULTS Positive associations were identified between lateral hip muscle volume and hip muscle strength, particularly for gluteus maximus and gluteus minimus volume. For all muscles, hip abduction was associated with an increase in strength by up to 0.69 N (R2 ranging from 0.29 to 0.39). These relationships were consistent across sexes with no sex interactions observed. No associations were found between MFI and strength measures. CONCLUSION Greater lateral hip muscle volumes are associated with greater hip strength in active young adults with long standing hip/groin pain, irrespective of sex. Gluteus maximus and minimus volume showed the most consistent relationships with hip strength across multiple directions.
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Affiliation(s)
- Zuzana Perraton
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia.
| | - Andrea B Mosler
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia; School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
| | - Peter R Lawrenson
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia; School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia; Innovation and Research Centre, Community and Oral Health Directorate, Metro North Health, Brisbane, Australia.
| | - Kenneth Weber Ii
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Palo Alto, CA, USA.
| | - James M Elliott
- School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia; Faculty of Medicine and Health, Northern Sydney Local Health District & The University of Sydney, The Kolling Institute St Leonards, NSW, Australia.
| | - Evert O Wesselink
- Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
| | - Kay M Crossley
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia.
| | - Joanne L Kemp
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia.
| | - Christopher Stewart
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia.
| | - Michael Girdwood
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia.
| | - Matthew G King
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia; Discipline of Physiotherapy, School of Allied Health, Human Services and Sport, La Trobe University, Australia.
| | - Joshua J Heerey
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia.
| | - Mark J Scholes
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia; Discipline of Physiotherapy, School of Allied Health, Human Services and Sport, La Trobe University, Australia.
| | - Benjamin F Mentiplay
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Victoria, Australia.
| | - Adam I Semciw
- Discipline of Physiotherapy, School of Allied Health, Human Services and Sport, La Trobe University, Australia; Department of Allied Health Research, Northern Health, Epping, Victoria, Australia.
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6
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Schlaeger S, Weidlich D, Zoffl A, Becherucci EA, Kottmaier E, Montagnese F, Deschauer M, Schoser B, Zimmer C, Baum T, Karampinos DC, Kirschke JS. Beyond mean value analysis - a voxel-based analysis of the quantitative MR biomarker water T 2 in the presence of fatty infiltration in skeletal muscle tissue of patients with neuromuscular diseases. NMR IN BIOMEDICINE 2022; 35:e4805. [PMID: 35892264 DOI: 10.1002/nbm.4805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 07/26/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
The main pathologies in the muscles of patients with neuromuscular diseases (NMD) are fatty infiltration and edema. Recently, quantitative magnetic resonance (MR) imaging for determination of the MR biomarkers proton density fat fraction (PDFF) and water T2 (T2w ) has been advanced. Biophysical effects or pathology can have different effects on MR biomarkers. Thus, for heterogeneously affected muscles, the routinely performed mean or median value analyses of MR biomarkers are questionable. Our work presents a voxel-based histogram analysis of PDFF and T2w images to point out potential quantification errors. In 12 patients with NMD, chemical-shift encoding-based water-fat imaging for PDFF and T2 mapping with spectral adiabatic inversion recovery (SPAIR) for T2w determination was performed. Segmentation of nine thigh muscles was performed bilaterally (n = 216). PDFF and T2 maps were coregistered. A voxel-based comparison of PDFF and T2w showed a decreased T2w with increasing PDFF. Mean T2w and mean T2w without fatty voxels (PDFF < 10%) show good agreement, whereas standard deviation (σ) T2w and σ T2w without fatty voxels show increasing difference with increasing values of σ. Thereby two subgroups can be observed, referring to muscles in which the exclusion of fatty voxels has a negligible influence versus muscles in which a strong dependency of the T2w value distribution on the exclusion of fatty voxels is present. Because of the two opposite effects that influence T2w in a voxel, namely, (i) a pathophysiologically increased water mobility leading to T2w elevation, and (ii) a dependency of T2w on the PDFF leading to decreased T2w , the T2w distribution within a muscle might be heterogenous and the routine mean or median analysis can lead to a misinterpretation of the muscle health. It was concluded that muscle T2w mean values can wrongly suggest healthy muscle tissue. A deeper analysis of the underlying value distribution is necessary. Therefore, a quantitative analysis of T2w histograms is a potential alternative.
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Affiliation(s)
- Sarah Schlaeger
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Dominik Weidlich
- Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Agnes Zoffl
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Edoardo Aitala Becherucci
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Elisabeth Kottmaier
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Federica Montagnese
- Department of Neurology, Friedrich-Baur-Institute, LMU Munich, Munich, Germany
| | - Marcus Deschauer
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Benedikt Schoser
- Department of Neurology, Friedrich-Baur-Institute, LMU Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Thomas Baum
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
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7
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Albayda J, Demonceau G, Carlier PG. Muscle imaging in myositis: MRI, US, and PET. Best Pract Res Clin Rheumatol 2022; 36:101765. [PMID: 35760742 DOI: 10.1016/j.berh.2022.101765] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Imaging is an important tool in the evaluation of idiopathic inflammatory myopathies. It plays a role in diagnosis, assessment of disease activity and follow-up, and as a non-invasive biomarker. Among the different modalities, nuclear magnetic resonance imaging (MRI), ultrasound (US), and positron emission tomography (PET) may have the most clinical utility in myositis. MRI is currently the best modality to evaluate skeletal muscle and provides excellent characterization of muscle edema and fat replacement through the use of T1-weighted and T2-weighted fat suppressed/STIR sequences. Although MRI can be read qualitatively for the presence of abnormalities, a more quantitative approach using Dixon sequences and the generation of water T2 parametric maps would be preferable for follow-up. Newer protocols such as diffusion-weighted imaging, functional imaging measures, and spectroscopy may be of interest to provide further insights into myositis. Despite the advantages of MRI, image acquisition is relatively time-consuming, expensive, and not accessible to all patients. The use of US to evaluate skeletal muscle in myositis is gaining interest, especially in chronic disease, where fat replacement and fibrosis are detected readily by this modality. Although easily deployed at the bedside, it is heavily dependent on operator experience to recognize disease states. Further, systematic characterization of muscle edema by US is still needed. PET provides valuable information on muscle function at a cellular level. Fluorodeoxyglucose (FDG-PET) has been the most common application in myositis to detect pathologic uptake indicative of inflammation. The use of neurodegenerative markers is now also being utilized for inclusion body myositis. These different modalities may prove to be complementary methods for myositis evaluation.
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Affiliation(s)
- Jemima Albayda
- Division of Rheumatology, Johns Hopkins University, Baltimore, USA.
| | | | - Pierre G Carlier
- Université Paris-Saclay, CEA, DRF, Service Hospitalier Frederic Joliot, Orsay, France
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8
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Hsu WC, Lin YC, Chuang HH, Yeh KY, Chan WP, Ro LS. A Muscle Biosignature Differentiating Between Limb-Girdle Muscular Dystrophy and Idiopathic Inflammatory Myopathy on Magnetic Resonance Imaging. Front Neurol 2021; 12:783095. [PMID: 34987467 PMCID: PMC8720967 DOI: 10.3389/fneur.2021.783095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 11/23/2021] [Indexed: 12/02/2022] Open
Abstract
Background: The overlapping clinical presentations of limb-girdle muscular dystrophy (LGMD) and idiopathic inflammatory myopathy (IIM) make clinical diagnosis challenging. This study provides a comprehensive evaluation of the distributions and characteristics of muscle fat substitution and edema and aims to differentiate those two diseases. Methods: This retrospective study reviewed magnetic resonance imaging (MRI) of seventeen patients with pathologically proved diagnosis, comprising 11 with LGMD and 6 with IIM. The fat-only and water-only images from a Dixon sequence were used to evaluate muscle fat substitution and edema, respectively. The degrees of muscle fat substitution and edema were graded and compared using the appropriate statistical methods. Results: In LGMD, more than 50% of patients had high-grade fat substitution in the majority of muscle groups in the thigh and calf. However, <50% of IIM patients had high-grade fat substitution in all muscle groups. Moreover, LGMD patients had significantly higher grade fat substitution than IIM patients in all large muscle groups (p < 0.05). However, there was no significant difference in edema in the majority of muscle groups, except the adductor magnus (p = 0.012) and soleus (p = 0.009) with higher grade edema in IIM. Additionally, all the adductor magnus muscles in LGMD (100%) showed high-grade fat substitution, but none of them showed high-grade edema. Conclusions: MRI could be a valuable tool to differentiate LGMD from IIM based on the discrepancy in muscle fat substitution, and the adductor magnus muscle could provide a biosignature to categorizing LGMD.
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Affiliation(s)
- Wen-Chi Hsu
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Ching Lin
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Hai-Hua Chuang
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Family Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kun-Yun Yeh
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Hemato-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Wing P. Chan
- Department of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Long-Sun Ro
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Neurology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- *Correspondence: Long-Sun Ro
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9
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Quantitative Muscle MRI in Patients with Neuromuscular Diseases-Association of Muscle Proton Density Fat Fraction with Semi-Quantitative Grading of Fatty Infiltration and Muscle Strength at the Thigh Region. Diagnostics (Basel) 2021; 11:diagnostics11061056. [PMID: 34201303 PMCID: PMC8230029 DOI: 10.3390/diagnostics11061056] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 06/05/2021] [Accepted: 06/06/2021] [Indexed: 11/17/2022] Open
Abstract
(1) Background and Purpose: The skeletal muscles of patients suffering from neuromuscular diseases (NMD) are affected by atrophy, hypertrophy, fatty infiltration, and edematous changes. Magnetic resonance imaging (MRI) is an important tool for diagnosis and monitoring. Concerning fatty infiltration, T1-weighted or T2-weighted DIXON turbo spin echo (TSE) sequences enable a qualitative assessment of muscle involvement. To achieve higher comparability, semi-quantitative grading scales, such as the four-point Mercuri scale, are commonly applied. However, the evaluation remains investigator-dependent. Therefore, effort is being invested to develop quantitative MRI techniques for determination of imaging markers such as the proton density fat fraction (PDFF). The present work aims to assess the diagnostic value of PDFF in correlation to Mercuri grading and clinically determined muscle strength in patients with myotonic dystrophy type 2 (DM2), limb girdle muscular dystrophy type 2A (LGMD2A), and adult Pompe disease. (2) Methods: T2-weighted two-dimensional (2D) DIXON TSE and chemical shift encoding-based water-fat MRI were acquired in 13 patients (DM2: n = 5; LGMD2A: n = 5; Pompe disease: n = 3). Nine different thigh muscles were rated in all patients according to the Mercuri grading and segmented to extract PDFF values. Muscle strength was assessed according to the British Medical Research Council (BMRC) scale. For correlation analyses between Mercuri grading, muscle strength, and PDFF, the Spearman correlation coefficient (rs) was computed. (3) Results: Mean PDFF values ranged from 7% to 37% in adults with Pompe disease and DM2 and up to 79% in LGMD2A patients. In all three groups, a strong correlation of the Mercuri grading and PDFF values was observed for almost all muscles (rs > 0.70, p < 0.05). PDFF values correlated significantly to muscle strength for muscle groups responsible for knee flexion (rs = -0.80, p < 0.01). (4) Conclusion: In the small, investigated patient cohort, PDFF offers similar diagnostic precision as the clinically established Mercuri grading. Based on these preliminary data, PDFF could be further considered as an MRI-based biomarker in the assessment of fatty infiltration of muscle tissue in NMD. Further studies with larger patient cohorts are needed to advance PDFF as an MRI-based biomarker in NMD, with advantages such as its greater dynamic range, enabling the assessment of subtler changes, the amplified objectivity, and the potential of direct correlation to muscle function for selected muscles.
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10
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Deschauer M, Hengel H, Rupprich K, Kreiß M, Schlotter-Weigel B, Grimmel M, Admard J, Schneider I, Alhaddad B, Gazou A, Sturm M, Vorgerd M, Balousha G, Balousha O, Falna M, Kirschke JS, Kornblum C, Jordan B, Kraya T, Strom TM, Weis J, Schöls L, Schara U, Zierz S, Riess O, Meitinger T, Haack TB. Bi-allelic truncating mutations in VWA1 cause neuromyopathy. Brain 2021; 144:574-583. [PMID: 33459760 DOI: 10.1093/brain/awaa418] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 09/01/2020] [Accepted: 09/23/2020] [Indexed: 11/15/2022] Open
Abstract
The von Willebrand Factor A domain containing 1 protein, encoded by VWA1, is an extracellular matrix protein expressed in muscle and peripheral nerve. It interacts with collagen VI and perlecan, two proteins that are affected in hereditary neuromuscular disorders. Lack of VWA1 is known to compromise peripheral nerves in a Vwa1 knock-out mouse model. Exome sequencing led us to identify bi-allelic loss of function variants in VWA1 as the molecular cause underlying a so far genetically undefined neuromuscular disorder. We detected six different truncating variants in 15 affected individuals from six families of German, Arabic, and Roma descent. Disease manifested in childhood or adulthood with proximal and distal muscle weakness predominantly of the lower limbs. Myopathological and neurophysiological findings were indicative of combined neurogenic and myopathic pathology. Early childhood foot deformity was frequent, but no sensory signs were observed. Our findings establish VWA1 as a new disease gene confidently implicated in this autosomal recessive neuromyopathic condition presenting with child-/adult-onset muscle weakness as a key clinical feature.
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Affiliation(s)
- Marcus Deschauer
- Department of Neurology, Technical University of Munich, School of Medicine, 81675 Munich, Germany
| | - Holger Hengel
- Department of Neurology and Hertie-Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.,German Center of Neurodegenerative Diseases (DZNE), 72076 Tübingen, Germany.,Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
| | - Katrin Rupprich
- Department of Neuropediatrics, University Hospital Essen, 45147 Germany
| | - Martina Kreiß
- Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany
| | | | - Mona Grimmel
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
| | - Jakob Admard
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
| | - Ilka Schneider
- Department of Neurology, University of Halle-Wittenberg, 06097 Halle, Germany
| | - Bader Alhaddad
- Institute of Human Genetics, Technical University of Munich, School of Medicine, 81675 Munich, Germany
| | - Anastasia Gazou
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
| | - Marc Sturm
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany
| | - Matthias Vorgerd
- Department of Neurology, University Hospital Bergmannsheil, Heimer Institute for Muscle Research, 44789 Bochum, Germany
| | - Ghassan Balousha
- Department of Pathology and Histology, Al-Quds University, Eastern Jerusalem, Palestinian Authority
| | - Osama Balousha
- Faculty of Medicine, Al-Quds University, Eastern Jerusalem, Palestinian Authority
| | - Mohammed Falna
- Faculty of Medicine, Al-Quds University, Eastern Jerusalem, Palestinian Authority
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, Technical University of Munich, School of Medicine, 81675 Munich, Germany
| | - Cornelia Kornblum
- Department of Neurology, University Hospital Bonn, 53127 Bonn, Germany
| | - Berit Jordan
- Department of Neurology, University of Halle-Wittenberg, 06097 Halle, Germany.,Department of Neurology, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Torsten Kraya
- Department of Neurology, University of Halle-Wittenberg, 06097 Halle, Germany
| | - Tim M Strom
- Institute of Human Genetics, Technical University of Munich, School of Medicine, 81675 Munich, Germany
| | - Joachim Weis
- Institute for Neuropathology, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany
| | - Ludger Schöls
- Department of Neurology and Hertie-Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.,German Center of Neurodegenerative Diseases (DZNE), 72076 Tübingen, Germany
| | - Ulrike Schara
- Department of Neuropediatrics, University Hospital Essen, 45147 Germany
| | - Stephan Zierz
- Department of Neurology, University of Halle-Wittenberg, 06097 Halle, Germany
| | - Olaf Riess
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany.,Center for Rare Diseases, University of Tübingen, 72076 Tübingen, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Technical University of Munich, School of Medicine, 81675 Munich, Germany
| | - Tobias B Haack
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, 72076 Tübingen, Germany.,Institute of Human Genetics, Technical University of Munich, School of Medicine, 81675 Munich, Germany.,Center for Rare Diseases, University of Tübingen, 72076 Tübingen, Germany
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11
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Dieckmeyer M, Zoffl F, Grundl L, Inhuber S, Schlaeger S, Burian E, Zimmer C, Kirschke JS, Karampinos DC, Baum T, Sollmann N. Association of quadriceps muscle, gluteal muscle, and femoral bone marrow composition using chemical shift encoding-based water-fat MRI: a preliminary study in healthy young volunteers. Eur Radiol Exp 2020; 4:35. [PMID: 32518982 PMCID: PMC7283400 DOI: 10.1186/s41747-020-00162-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 04/17/2020] [Indexed: 12/04/2022] Open
Abstract
Background We investigated the composition of the gluteal (gluteus maximus, medius, and minimus) and quadriceps (rectus femoris, vastus lateralis, medialis, and intermedius) muscle groups and its associations with femoral bone marrow using chemical shift encoding-based water-fat magnetic resonance imaging (CSE-MRI) to improve our understanding of muscle-bone interaction. Methods Thirty healthy volunteers (15 males, aged 30.5 ± 4.9 years [mean ± standard deviation]; 15 females, aged 29.9 ± 7.1 years) were recruited. A six-echo three-dimensional spoiled gradient-echo sequence was used for 3-T CSE-MRI at the thigh and hip region. The proton density fat fraction (PDFF) of the gluteal and quadriceps muscle groups as well as of the femoral head, neck, and greater trochanter bone marrow were extracted and averaged over both sides. Results PDFF values of all analysed bone marrow compartments were significantly higher in men than in women (p ≤ 0.047). PDFF values of the analysed muscles showed no significant difference between men and women (p ≥ 0.707). After adjusting for age and body mass index, moderate significant correlations of PDFF values were observed between the gluteal and quadriceps muscle groups (r = 0.670) and between femoral subregions (from r = 0.613 to r = 0.655). Regarding muscle-bone interactions, only the PDFF of the quadriceps muscle and greater trochanter bone marrow showed a significant correlation (r = 0.375). Conclusions The composition of the muscle and bone marrow compartments at the thigh and hip region in young, healthy subjects seems to be quite distinct, without evidence for a strong muscle-bone interaction.
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Affiliation(s)
- Michael Dieckmeyer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Florian Zoffl
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Lioba Grundl
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Stephanie Inhuber
- Department of Sport and Health Sciences, Technische Universität München, Georg-Brauchle-Ring 60/62, 80992 Munich, Germany
| | - Sarah Schlaeger
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany.,Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Egon Burian
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany.,TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Thomas Baum
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Nico Sollmann
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany. .,TUM-Neuroimaging Center, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
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12
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Zanchi F, Richard R, Hussami M, Monier A, Knebel JF, Omoumi P. MRI of non-specific low back pain and/or lumbar radiculopathy: do we need T1 when using a sagittal T2-weighted Dixon sequence? Eur Radiol 2020; 30:2583-2593. [PMID: 32020402 PMCID: PMC7160219 DOI: 10.1007/s00330-019-06626-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 11/16/2019] [Accepted: 12/12/2019] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To show that for the MRI workup of non-specific low back pain and/or lumbar radiculopathy, the acquisition of T1-weighted sequences in the sagittal plane could be waived when using an FSE T2-weighted Dixon sequence. MATERIALS AND METHODS Three musculoskeletal radiologists retrospectively reviewed fifty lumbar spine MRI examinations performed for non-specific low back pain and/or lumbar radiculopathy. Two protocols were separately analyzed in the sagittal plane: a standard protocol (T1-weighted, in-phase, and water-only images of an FSE T2-weighted Dixon sequence) and a simplified protocol (fat-only, in-phase, and water-only images of an FSE T2-weighted Dixon sequence). Eight items usually assessed on T1-weighted sequences were analyzed for each of the vertebrae (n = 250), vertebral endplates (n = 500), vertebral corners (n = 1000), foramina (n = 500), lamina (n = 500), and facet joints (n = 500). Interchangeability of these protocols was tested using the individual equivalence index. A decrease in interobserver agreement of ≥ 5% when one reader used the simplified protocol compared with when both readers used the standard protocol was considered clinically significant. Interreader and intrareader agreement were assessed using kappa statistics. Rates of findings with each protocol were compared using odd ratios. RESULTS The standard and simplified protocols were interchangeable (range of upper bound of the 95%CI of individual equivalence index = 0.25 to 1.38%). Intraprotocol and interprotocol interreader kappa values were similar (0.253-0.671 vs. 0.236-0.723, respectively). Rates of findings were not statistically significantly different (p ≥ 0.074), or were higher with the simplified protocol (p ≤ 0.036). CONCLUSION In our target population, a single sagittal T2-weighted Dixon sequence may replace the recommended combination of T1-, T2-, and fat-suppressed T2-weighted sequences. KEY POINTS • In patients with non-specific low back pain or lumbar radiculopathy, spine MRI in the sagittal plane could be limited to a single FSE T2-weighted Dixon sequence, hereby reducing the acquisition time. • A simplified protocol of spine MRI in the sagittal plane combining FSE T2-weighted Dixon sequence provides the same information as a standard protocol including T1-, T2-, and fat-suppressed T2-weighted sequences for the workup of degenerative lumbar spine lesions. • For some findings shown on the simplified protocol, such as focal bone marrow replacement lesions or signs of infection, additional sequences including pre- and post-contrast T1-weighted sequences may be required, as is currently the case when using the standard protocol.
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Affiliation(s)
- Fabio Zanchi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Raphaël Richard
- Department of Radiology, Riviera-Chablais Hospital, Avenue de la Prairie 10, 1800, Vevey, Switzerland
| | - Mahmoud Hussami
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
- Department of Radiology, Riviera-Chablais Hospital, Avenue de la Prairie 10, 1800, Vevey, Switzerland
| | - Arnaud Monier
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Jean-François Knebel
- Laboratory for Investigative Neurophysiology (The LINE), Department of Radiology, University Hospital Center and University of Lausanne, 1011, Lausanne, Switzerland
- EEG Brain Mapping Core, Centre for Biomedical Imaging (CIBM), 1011, Lausanne, Switzerland
| | - Patrick Omoumi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
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13
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Lee SK, Jung JY, Kang YR, Jung JH, Yang JJ. Fat quantification of multifidus muscle using T2-weighted Dixon: which measurement methods are best suited for revealing the relationship between fat infiltration and herniated nucleus pulposus. Skeletal Radiol 2020; 49:263-271. [PMID: 31338533 DOI: 10.1007/s00256-019-03270-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 06/24/2019] [Accepted: 06/26/2019] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To reveal the best-suited method for fat quantification of lumbar multifidus to demonstrate its relationship to herniated nucleus pulposus (HNP) using T2-weighted Dixon. MATERIALS AND METHODS One hundred eight patients who underwent MRI for low back pain were enrolled. Two readers independently analyzed the fat fraction (Ff) using axial two-dimensional (D), coronal 2-D, and coronal 3-D measurement. Pearson's correlation coefficient was calculated between age, body mass index (BMI), and the Ff, and age, sex, BMI, and Ff were compared between 'HNP group' and 'no HNP group'. Multivariate logistic regression analysis was performed to identify factors associated with HNP. RESULTS Coronal 2-D Ff showed the highest correlation with age (r = 0.536, P < 0.001). Coronal 2-D Ff, and coronal 3-D Ff were significantly higher in those with HNP (coronal 2-D: 18.9 ± 2.9, coronal 3-D: 19.7 ± 2.6, respectively) than those without HNP (coronal 2-D: 17.2 ± 3.2, coronal 3-D: 17.4 ± 3.2, respectively). Ff of all three measurements were significantly higher in those with HNP ≥ 3 levels (axial 2-D: 20.7 ± 3.0, coronal 2-D: 21.1 ± 2.7, coronal 3-D: 21.6 ± 2.5, respectively) than those with HNP <3 levels (axial 2-D: 17.5 ± 4.3, coronal 2-D: 18.5 ± 2.7, coronal 3-D: 19.3 ± 2.5). The BMI was an independent predisposing factor to HNP (P = 0.011). Age and coronal 2-D Ff were significant predictors for multilevel HNP (P = 0.028 and 0.040, respectively). CONCLUSIONS The Ff of the multifidus muscle on T2-weighted Dixon was associated with age, sex, and HNP. The coronal 2-D measurement was the best suited for fat quantification in multifidus muscle among three measurement methods.
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Affiliation(s)
- Seul Ki Lee
- Department of Radiology, Dongguk University Ilsan Hospital, Gyeonggi-do, Republic of Korea.,Department of Radiology, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Joon-Yong Jung
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, South Korea.
| | - Yeo Ryang Kang
- Department of Radiology, Dongguk University Ilsan Hospital, Gyeonggi-do, Republic of Korea
| | - Jin-Hee Jung
- Department of Radiology, Dongguk University Ilsan Hospital, Gyeonggi-do, Republic of Korea
| | - Jae Jun Yang
- Department of Orthopedic Surgery, Dongguk University Ilsan Hospital, Gyeonggi-do, Republic of Korea
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Schlaeger S, Weidlich D, Klupp E, Montagnese F, Deschauer M, Schoser B, Bublitz S, Ruschke S, Zimmer C, Rummeny EJ, Kirschke JS, Karampinos DC. 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. J Magn Reson Imaging 2019; 51:1727-1736. [PMID: 31875343 DOI: 10.1002/jmri.27032] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Revised: 12/03/2019] [Accepted: 12/05/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Muscle water T2 (T2w ) has been proposed as a biomarker to monitor disease activity and therapy effectiveness in patients with neuromuscular diseases (NMD). Multi-echo spin-echo (MESE) is known to be affected by fatty infiltration. A T2 -prepared 3D turbo spin echo (TSE) is an alternative method for T2 mapping, but has been only applied in healthy muscles. PURPOSE To examine the performance of T2 -prepared 3D TSE in combination with spectral adiabatic inversion recovery (SPAIR) in measuring T2w in fatty infiltrated muscles based on simulations and in vivo measurements in thigh muscles of patients with NMD. STUDY TYPE Prospective. SUBJECTS One healthy volunteer, 34 NMD patients. FIELD STRENGTH/SEQUENCE T2 -prepared stimulated echo acquisition mode (STEAM) magnetic resonance spectroscopy (MRS), SPAIR STEAM MRS, and SPAIR T2 -prepared STEAM MRS were performed in the subcutaneous fat of a healthy volunteer's thigh. T2 mapping based on SPAIR 2D MESE and SPAIR T2 -prepared 3D TSE was performed in the NMD patients' thigh region. Multi-TE STEAM MRS was performed for measuring a reference T2w at different thigh locations. ASSESSMENT The behavior of the fat spectrum in the SPAIR T2 -prepared 3D TSE was simulated using Bloch simulations. The in vivo T2 results of the imaging methods were compared to the in vivo T2w MRS results. STATISTICAL TESTS Pearson correlation coefficient with slope and intercept, relative error. RESULTS The simulated T2 for the SPAIR T2 -prepared 3D TSE sequence remained constant within a relative error of not more than 4% up to a fat fraction of 80%. In vivo T2 values of SPAIR T2 -prepared 3D TSE were in good agreement with the T2w values of STEAM MRS (R = 0.86; slope = 1.12; intercept = -1.41 ms). In vivo T2 values of SPAIR 2D MESE showed large deviations from the T2w values of STEAM MRS (R = 0.14; slope = 0.32; intercept = 38.83 ms). DATA CONCLUSION The proposed SPAIR T2 -prepared 3D TSE shows reduced sensitivity to fatty infiltration for T2w mapping in the thigh muscles of NMD patients. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2020;51:1727-1736.
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Affiliation(s)
- Sarah Schlaeger
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany.,Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Dominik Weidlich
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Elisabeth Klupp
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | | | - Marcus Deschauer
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Benedikt Schoser
- Friedrich-Baur-Institut, Ludwig Maximilian University, Munich, Germany
| | - Sarah Bublitz
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Ernst J Rummeny
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, School of Medicine, Technical University of Munich, Munich, Germany
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15
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Schlaeger S, Weidlich D, Klupp E, Montagnese F, Deschauer M, Schoser B, Bublitz S, Ruschke S, Zimmer C, Rummeny EJ, Kirschke JS, Karampinos DC. Decreased water T 2 in fatty infiltrated skeletal muscles of patients with neuromuscular diseases. NMR IN BIOMEDICINE 2019; 32:e4111. [PMID: 31180167 DOI: 10.1002/nbm.4111] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 03/07/2019] [Accepted: 03/17/2019] [Indexed: 05/22/2023]
Abstract
Quantitative imaging techniques are emerging in the field of magnetic resonance imaging of neuromuscular diseases (NMD). T2 of water (T2w ) is considered an important imaging marker to assess acute and chronic alterations of the muscle fibers, being generally interpreted as an indicator for "disease activity" in the muscle tissue. To validate the accuracy and robustness of quantitative imaging methods, 1 H magnetic resonance spectroscopy (MRS) can be used as a gold standard. The purpose of the present work was to investigate T2w of remaining muscle tissue in regions of higher proton density fat fraction (PDFF) in 40 patients with defined NMD using multi-TE single-voxel 1 H MRS. Patients underwent MR measurements on a 3 T system to perform a multi-TE single-voxel stimulated echo acquisition method (STEAM) MRS (TE = 11/15/20/25(/35) ms) in regions of healthy, edematous and fatty thigh muscle tissue. Muscle regions for MRS were selected based on T2 -weighted water and fat images of a two-echo 2D Dixon TSE. MRS results were confined to regions with qualitatively defined remaining muscle tissue without edema and high fat content, based on visual grading of the imaging data. The results showed decreased T2w values with increasing PDFF with R2 = 0.45 (p < 10-3 ) (linear fit) and with R2 = 0.51 (exponential fit). The observed dependence of T2w on PDFF should be considered when using T2w as a marker in NMD imaging and when performing single-voxel MRS for T2w in regions enclosing edematous, nonedematous and fatty infiltrated muscle tissue.
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Affiliation(s)
- Sarah Schlaeger
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Dominik Weidlich
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Elisabeth Klupp
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Federica Montagnese
- Friedrich-Baur-Institut, Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Marcus Deschauer
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Benedikt Schoser
- Friedrich-Baur-Institut, Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Sarah Bublitz
- Department of Neurology, Technical University of Munich, Munich, Germany
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Ernst J Rummeny
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- Department of Diagnostic and Interventional of Neuroradiology, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany
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16
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Paoletti M, Pichiecchio A, Cotti Piccinelli S, Tasca G, Berardinelli AL, Padovani A, Filosto M. Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives. Front Neurol 2019; 10:78. [PMID: 30804884 PMCID: PMC6378279 DOI: 10.3389/fneur.2019.00078] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 01/21/2019] [Indexed: 12/11/2022] Open
Abstract
In the last years, magnetic resonance imaging (MRI) has become fundamental for the diagnosis and monitoring of myopathies given its ability to show the severity and distribution of pathology, to identify specific patterns of damage distribution and to properly interpret a number of genetic variants. The advances in MR techniques and post-processing software solutions have greatly expanded the potential to assess pathological changes in muscle diseases, and more specifically of myopathies; a number of features can be studied and quantified, ranging from composition, architecture, mechanical properties, perfusion, and function, leading to what is known as quantitative MRI (qMRI). Such techniques can effectively provide a variety of information beyond what can be seen and assessed by conventional MR imaging; their development and application in clinical practice can play an important role in the diagnostic process and in assessing disease course and treatment response. In this review, we briefly discuss the current role of muscle MRI in diagnosing muscle diseases and describe in detail the potential and perspectives of the application of advanced qMRI techniques in this field.
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Affiliation(s)
- Matteo Paoletti
- Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Anna Pichiecchio
- Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Stefano Cotti Piccinelli
- Unit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy
| | - Giorgio Tasca
- Neurology Department, Dipartimento di Scienze dell'Invecchiamento, Neurologiche, Ortopediche e della Testa-Collo, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | - Alessandro Padovani
- Unit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy
| | - Massimiliano Filosto
- Unit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy
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