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dos Santos Ferreira D, Arora G, Gieseck RL, Rotile NJ, Waghorn PA, Tanabe KK, Wynn TA, Caravan P, Fuchs BC. Molecular Magnetic Resonance Imaging of Liver Fibrosis and Fibrogenesis Is Not Altered by Inflammation. Invest Radiol 2021; 56:244-251. [PMID: 33109919 PMCID: PMC7956154 DOI: 10.1097/rli.0000000000000737] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
METHODS Three groups of mice that develop either mild type 2 inflammation and fibrosis (wild type), severe fibrosis with exacerbated type 2 inflammation (Il10-/-Il12b-/-Il13ra2-/-), or minimal fibrosis with marked type 1 inflammation (Il4ra∂/∂) after infection with S. mansoni were imaged using both probes for determination of signal enhancement. Schistosoma mansoni-infected wild-type mice developed chronic liver fibrosis. RESULTS The liver MR signal enhancement after either probe administration was significantly higher in S. mansoni-infected wild-type mice compared with naive animals. The S. mansoni-infected Il4ra∂/∂ mice presented with little liver signal enhancement after probe injection despite the presence of substantial inflammation. Schistosoma mansoni-infected Il10-/-Il12b-/-Il13ra2-/- mice presented with marked fibrosis, which correlated to increased signal enhancement after injection of either probe. CONCLUSIONS Both MR probes, EP-3533 and Gd-Hyd, were specific for fibrosis in this model of chronic liver disease regardless of the presence or severity of the underlying inflammation. These results, in addition to previous findings, show the potential application of both molecular MR probes for detection and quantification of fibrosis from various etiologies.
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Affiliation(s)
- Diego dos Santos Ferreira
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129 USA
| | - Gunisha Arora
- Division of Surgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA 02114 USA
| | - Richard L. Gieseck
- Laboratory of Parasitic Disease, National Institute of Allergy and Infectious Diseases, National Institutes of Health, 5601 Fishers Ln, Bethesda, MD, 20892, United States
| | - Nicholas J. Rotile
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129 USA
| | - Philip A. Waghorn
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129 USA
| | - Kenneth K. Tanabe
- Division of Surgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA 02114 USA
| | - Thomas A. Wynn
- Laboratory of Parasitic Disease, National Institute of Allergy and Infectious Diseases, National Institutes of Health, 5601 Fishers Ln, Bethesda, MD, 20892, United States
| | - Peter Caravan
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129 USA
- The Institute for Innovation in Imaging (i), Department of Radiology, Massachusetts General Hospital, Boston, MA 02129 USA
| | - Bryan C. Fuchs
- Division of Surgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA 02114 USA
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Tielemans B, Dekoster K, Verleden SE, Sawall S, Leszczyński B, Laperre K, Vanstapel A, Verschakelen J, Kachelriess M, Verbeken E, Swoger J, Vande Velde G. From Mouse to Man and Back: Closing the Correlation Gap between Imaging and Histopathology for Lung Diseases. Diagnostics (Basel) 2020; 10:E636. [PMID: 32859103 PMCID: PMC7554749 DOI: 10.3390/diagnostics10090636] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/21/2020] [Accepted: 08/24/2020] [Indexed: 02/07/2023] Open
Abstract
Lung diseases such as fibrosis, asthma, cystic fibrosis, infection and cancer are life-threatening conditions that slowly deteriorate quality of life and for which our diagnostic power is high, but our knowledge on etiology and/or effective treatment options still contains important gaps. In the context of day-to-day practice, clinical and preclinical studies, clinicians and basic researchers team up and continuously strive to increase insights into lung disease progression, diagnostic and treatment options. To unravel disease processes and to test novel therapeutic approaches, investigators typically rely on end-stage procedures such as serum analysis, cyto-/chemokine profiles and selective tissue histology from animal models. These techniques are useful but provide only a snapshot of disease processes that are essentially dynamic in time and space. Technology allowing evaluation of live animals repeatedly is indispensable to gain a better insight into the dynamics of lung disease progression and treatment effects. Computed tomography (CT) is a clinical diagnostic imaging technique that can have enormous benefits in a research context too. Yet, the implementation of imaging techniques in laboratories lags behind. In this review we want to showcase the integrated approaches and novel developments in imaging, lung functional testing and pathological techniques that are used to assess, diagnose, quantify and treat lung disease and that may be employed in research on patients and animals. Imaging approaches result in often novel anatomical and functional biomarkers, resulting in many advantages, such as better insight in disease progression and a reduction in the numbers of animals necessary. We here showcase integrated assessment of lung disease with imaging and histopathological technologies, applied to the example of lung fibrosis. Better integration of clinical and preclinical imaging technologies with pathology will ultimately result in improved clinical translation of (therapy) study results.
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Affiliation(s)
- Birger Tielemans
- Department of Imaging and Pathology, KU Leuven, University of Leuven, 3000 Leuven, Belgium; (B.T.); (K.D.); (J.V.); (E.V.)
| | - Kaat Dekoster
- Department of Imaging and Pathology, KU Leuven, University of Leuven, 3000 Leuven, Belgium; (B.T.); (K.D.); (J.V.); (E.V.)
| | - Stijn E. Verleden
- Department of CHROMETA, BREATHE lab, KU Leuven, 3000 Leuven, Belgium; (S.E.V.); (A.V.)
| | - Stefan Sawall
- German Cancer Research Center (DKFZ), X-Ray Imaging and CT, Heidelberg University, 69117 Heidelberg, Germany; (S.S.); (M.K.)
| | - Bartosz Leszczyński
- Department of Medical Physics, M. Smoluchowski Institute of Physics, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, 31-007 Kraków, Poland;
| | | | - Arno Vanstapel
- Department of CHROMETA, BREATHE lab, KU Leuven, 3000 Leuven, Belgium; (S.E.V.); (A.V.)
| | - Johny Verschakelen
- Department of Imaging and Pathology, KU Leuven, University of Leuven, 3000 Leuven, Belgium; (B.T.); (K.D.); (J.V.); (E.V.)
| | - Marc Kachelriess
- German Cancer Research Center (DKFZ), X-Ray Imaging and CT, Heidelberg University, 69117 Heidelberg, Germany; (S.S.); (M.K.)
| | - Erik Verbeken
- Department of Imaging and Pathology, KU Leuven, University of Leuven, 3000 Leuven, Belgium; (B.T.); (K.D.); (J.V.); (E.V.)
| | - Jim Swoger
- European Molecular Biology Laboratory (EMBL) Barcelona, 08003 Barcelona, Spain;
| | - Greetje Vande Velde
- Department of Imaging and Pathology, KU Leuven, University of Leuven, 3000 Leuven, Belgium; (B.T.); (K.D.); (J.V.); (E.V.)
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Evaluation of Gadopiclenol and P846, 2 High-Relaxivity Macrocyclic Magnetic Resonance Contrast Agents Without Protein Binding, in a Rodent Model of Hepatic Metastases. Invest Radiol 2019; 54:549-558. [DOI: 10.1097/rli.0000000000000572] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Longitudinal observations of progressive cardiac dysfunction in a cardiomyopathic animal model by self-gated cine imaging based on 11.7-T magnetic resonance imaging. Sci Rep 2017; 7:9106. [PMID: 28831129 PMCID: PMC5567262 DOI: 10.1038/s41598-017-09755-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 07/31/2017] [Indexed: 11/16/2022] Open
Abstract
The purpose of this study was to longitudinally assess left ventricular function and wall thickness in a hamster model of cardiomyopathy using 11.7-T magnetic resonance imaging (MRI). MRI were performed for six cardiomyopathic J2N-k hamsters and six J2N-n hamsters at 5, 10, 15, and 20 weeks of age. Echocardiography was also performed at 20 weeks. The ejection fraction (EF) at 15 and 20 weeks of age in J2N-k hamsters showed a significant decrease compared with those in controls. Conversely, the end-systolic and end-diastolic volumes in cardiomyopathic hamsters showed a significant increase compared with those in controls. Moreover, the heart walls of J2N-k hamsters at 15 and 20 weeks were thicker than those of controls at end-systole; however, there were no significant differences at end-diastole. Optical microscopy with Masson’s trichrome staining depicted no fibrosis in the control myocardium, although it showed interstitial fibrosis in the 20-week-old J2N-k cardiomyopathic myocardium. There were no differences in EF and the wall thickness observed on MRI and those observed on echocardiography. These results indicate the presence of systolic dysfunction in cardiomyopathic hamsters. Self-gated cine imaging based on 11.7-T MRI can be used for serial measurements of cardiac function and wall thickness in a cardiomyopathic model.
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Anderson CE, Wang CY, Gu Y, Darrah R, Griswold MA, Yu X, Flask CA. Regularly incremented phase encoding - MR fingerprinting (RIPE-MRF) for enhanced motion artifact suppression in preclinical cartesian MR fingerprinting. Magn Reson Med 2017; 79:2176-2182. [PMID: 28796368 DOI: 10.1002/mrm.26865] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 07/19/2017] [Indexed: 12/11/2022]
Abstract
PURPOSE The regularly incremented phase encoding-magnetic resonance fingerprinting (RIPE-MRF) method is introduced to limit the sensitivity of preclinical MRF assessments to pulsatile and respiratory motion artifacts. METHODS As compared to previously reported standard Cartesian-MRF methods (SC-MRF), the proposed RIPE-MRF method uses a modified Cartesian trajectory that varies the acquired phase-encoding line within each dynamic MRF dataset. Phantoms and mice were scanned without gating or triggering on a 7T preclinical MRI scanner using the RIPE-MRF and SC-MRF methods. In vitro phantom longitudinal relaxation time (T1 ) and transverse relaxation time (T2 ) measurements, as well as in vivo liver assessments of artifact-to-noise ratio (ANR) and MRF-based T1 and T2 mean and standard deviation, were compared between the two methods (n = 5). RESULTS RIPE-MRF showed significant ANR reductions in regions of pulsatility (P < 0.005) and respiratory motion (P < 0.0005). RIPE-MRF also exhibited improved precision in T1 and T2 measurements in comparison to the SC-MRF method (P < 0.05). The RIPE-MRF and SC-MRF methods displayed similar mean T1 and T2 estimates (difference in mean values < 10%). CONCLUSION These results show that the RIPE-MRF method can provide effective motion artifact suppression with minimal impact on T1 and T2 accuracy for in vivo small animal MRI studies. Magn Reson Med 79:2176-2182, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Christian E Anderson
- Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Charlie Y Wang
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Yuning Gu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Rebecca Darrah
- Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Mark A Griswold
- Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xin Yu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Physiology and Biophysics, Case Western Reserve University, Cleveland, Ohio, USA
| | - Chris A Flask
- Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Pediatrics, Case Western Reserve University, Cleveland, Ohio, USA
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Saito S, Masuda K, Mori Y, Nakatani S, Yoshioka Y, Murase K. Mapping of left ventricle wall thickness in mice using 11.7-T magnetic resonance imaging. Magn Reson Imaging 2017; 36:128-134. [DOI: 10.1016/j.mri.2016.10.030] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Accepted: 10/26/2016] [Indexed: 11/28/2022]
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Simgen A, Ley D, Roth C, Cattaneo GFM, Mühl-Benninghaus R, Müller A, Körner H, Kim YJ, Scheller B, Reith W, Yilmaz U. Evaluation of occurring complications after flow diverter treatment of elastase-induced aneurysm in rabbits using micro-CT and MRI at 9.4 T. Neuroradiology 2016; 58:987-996. [DOI: 10.1007/s00234-016-1730-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Accepted: 07/12/2016] [Indexed: 12/22/2022]
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Magnetic resonance imaging for noninvasive assessment of lung fibrosis onset and progression: cross-validation and comparison of different magnetic resonance imaging protocols with micro-computed tomography and histology in the bleomycin-induced mouse model. Invest Radiol 2015; 49:691-8. [PMID: 24872004 DOI: 10.1097/rli.0000000000000071] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVES Bleomycin instillation is frequently used to model lung fibrosis, although the onset and severity of pathology varies highly between mice. This makes non-invasive fibrosis detection and quantification essential to obtain a comprehensive analysis of the disease course and to validate novel therapies. Magnetic resonance imaging (MRI) of lung disease progression and therapy may provide such a sensitive in vivo readout of lung fibrosis, bypassing radiotoxicity concerns (when using micro-CT [μCT]) and elaborate invasive end point measurements (histology). We aimed to optimize and evaluate 3 different lung MRI contrast and acquisition methods to visualize disease onset and progression in the bleomycin-induced mouse model of lung fibrosis using a small-animal MRI scanner. For validation, we compared the MRI results with established μCT and histological measures of lung fibrosis. MATERIALS AND METHODS Free-breathing bleomycin-instilled and control mice were scanned in vivo with respiration-triggered conventional, ultrashort echo time and self-gated MRI pulse sequences (9.4 T) and μCT at baseline and weekly at days 7, 14, 21, and 28 after bleomycin instillation. After the last imaging time point, the mice were killed and the lungs were isolated for criterion standard histological analysis of lung fibrosis and quantification of lung collagen content for validation of the imaging results. The agreement between quantitative MRI and μCT data and standard measurements was analyzed by linear regression. RESULTS All 3 MRI protocols were able to visualize and quantify lung pathology onset and progression in individual bleomycin-instilled mice. In vivo MRI results were in excellent agreement with in vivo μCT and criterion standard histological measures of lung fibrosis. Ultrashort echo time MRI appeared particularly useful for detecting early disease; self-gated MRI, for improved breathing motion handling. DISCUSSION Magnetic resonance imaging sensitively visualizes and quantifies lung fibrosis in vivo, which makes it a noninvasive, translatable, safe, and potentially more versatile alternative to invasive methods or μCT, thereby stimulating pathogenesis and preclinical research.
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