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Tebbens M, Schutte M, Troelstra MA, Bruinstroop E, de Mutsert R, Nederveen AJ, den Heijer M, Bisschop PH. Sex Steroids Regulate Liver Fat Content and Body Fat Distribution in Both Men and Women: A Study in Transgender Persons. J Clin Endocrinol Metab 2023; 109:e280-e290. [PMID: 37463488 PMCID: PMC10735313 DOI: 10.1210/clinem/dgad409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 06/21/2023] [Accepted: 07/10/2023] [Indexed: 07/20/2023]
Abstract
CONTEXT Liver fat content and visceral fat volume are associated with insulin resistance and cardiovascular disease and are higher in men than in women. OBJECTIVE To determine the effect of estradiol and testosterone treatment on liver fat and visceral fat in transgender persons. DESIGN Open-label intervention study (SHAMVA) with a 1-year follow-up. SETTING Gender clinic in a hospital. PATIENTS 8 trans women and 18 trans men receiving hormone treatment. INTERVENTIONS Trans women received an antiandrogen and after 6 weeks estradiol was added. Trans men were randomized to receive triptorelin, testosterone, and anastrozole for 12 weeks or triptorelin and testosterone for 12 weeks, followed by only testosterone until week 52. MAIN OUTCOME MEASURES Liver fat content, visceral and abdominal subcutaneous fat volume, measured by magnetic resonance spectrometry or imaging at baseline, 6, 8, 18, and 58 weeks in transwomen or at baseline; at 6 and 12 weeks in trans men with anastrozole; and at 52 weeks in trans men without anastrozole. RESULTS In trans women, liver fat content decreased by 1.55% (-2.99 to -0.12) after 58 weeks, compared to week 6. Visceral fat did not change. In trans men with anastrozole, the liver fat content and visceral fat volume did not change. In trans men without anastrozole, after 52 weeks, liver fat content increased by 0.83% (0.14 to 1.52) and visceral fat volume increased by 34% (16 to 51). CONCLUSIONS Sex hormones regulate liver fat content and visceral fat in men and women.
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Affiliation(s)
- Marieke Tebbens
- Department of Endocrinology, Amsterdam UMC Vrije Universiteit Amsterdam, Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Moya Schutte
- Department of Endocrinology, Amsterdam UMC Vrije Universiteit Amsterdam, Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Marian A Troelstra
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Eveline Bruinstroop
- Department of Endocrinology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Aart J Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Martin den Heijer
- Department of Endocrinology, Amsterdam UMC Vrije Universiteit Amsterdam, Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Peter H Bisschop
- Department of Endocrinology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, The Netherlands
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Troelstra MA, Van Dijk AM, Witjes JJ, Mak AL, Zwirs D, Runge JH, Verheij J, Beuers UH, Nieuwdorp M, Holleboom AG, Nederveen AJ, Gurney-Champion OJ. Self-supervised neural network improves tri-exponential intravoxel incoherent motion model fitting compared to least-squares fitting in non-alcoholic fatty liver disease. Front Physiol 2022; 13:942495. [PMID: 36148303 PMCID: PMC9485997 DOI: 10.3389/fphys.2022.942495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 07/27/2022] [Indexed: 11/13/2022] Open
Abstract
Recent literature suggests that tri-exponential models may provide additional information and fit liver intravoxel incoherent motion (IVIM) data more accurately than conventional bi-exponential models. However, voxel-wise fitting of IVIM results in noisy and unreliable parameter maps. For bi-exponential IVIM, neural networks (NN) were able to produce superior parameter maps than conventional least-squares (LSQ) generated images. Hence, to improve parameter map quality of tri-exponential IVIM, we developed an unsupervised physics-informed deep neural network (IVIM3-NET). We assessed its performance in simulations and in patients with non-alcoholic fatty liver disease (NAFLD) and compared outcomes with bi-exponential LSQ and NN fits and tri-exponential LSQ fits. Scanning was performed using a 3.0T free-breathing multi-slice diffusion-weighted single-shot echo-planar imaging sequence with 18 b-values. Images were analysed for visual quality, comparing the bi- and tri-exponential IVIM models for LSQ fits and NN fits using parameter-map signal-to-noise ratios (SNR) and adjusted R2. IVIM parameters were compared to histological fibrosis, disease activity and steatosis grades. Parameter map quality improved with bi- and tri-exponential NN approaches, with a significant increase in average parameter-map SNR from 3.38 to 5.59 and 2.45 to 4.01 for bi- and tri-exponential LSQ and NN models respectively. In 33 out of 36 patients, the tri-exponential model exhibited higher adjusted R2 values than the bi-exponential model. Correlating IVIM data to liver histology showed that the bi- and tri-exponential NN outperformed both LSQ models for the majority of IVIM parameters (10 out of 15 significant correlations). Overall, our results support the use of a tri-exponential IVIM model in NAFLD. We show that the IVIM3-NET can be used to improve image quality compared to a tri-exponential LSQ fit and provides promising correlations with histopathology similar to the bi-exponential neural network fit, while generating potentially complementary additional parameters.
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Affiliation(s)
- Marian A. Troelstra
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands
- *Correspondence: Marian A. Troelstra,
| | | | - Julia J. Witjes
- Department of Vascular Medicine, Amsterdam UMC, Amsterdam, Netherlands
| | - Anne Linde Mak
- Department of Vascular Medicine, Amsterdam UMC, Amsterdam, Netherlands
| | - Diona Zwirs
- Department of Vascular Medicine, Amsterdam UMC, Amsterdam, Netherlands
| | - Jurgen H. Runge
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands
| | - Joanne Verheij
- Department of Pathology, Amsterdam UMC, Amsterdam, Netherlands
| | - Ulrich H. Beuers
- Department of Gastroenterology and Hepatology, Amsterdam UMC, Amsterdam, Netherlands
| | - Max Nieuwdorp
- Department of Vascular Medicine, Amsterdam UMC, Amsterdam, Netherlands
| | | | - Aart J. Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands
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Burnhope E, Polcaro A, Runge JH, Granlund I, Bosio F, Troelstra MA, Villa ADM, Chiribiri A, Carr-White G, Webb J, Razavi R, Martorell J, Sinkus R, Ismail TF. Assessment of Myocardial Stiffness in Patients With Left Ventricular Hypertrophy: CMR Elastography Using Intrinsic Actuation. JACC Cardiovasc Imaging 2022; 15:1163-1165. [PMID: 35680224 DOI: 10.1016/j.jcmg.2022.01.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 01/01/2022] [Accepted: 01/10/2022] [Indexed: 12/20/2022]
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Troelstra MA, Witjes JJ, van Dijk AM, Mak AL, Gurney-Champion O, Runge JH, Zwirs D, Stols-Gonçalves D, Zwinderman AH, Ten Wolde M, Monajemi H, Ramsoekh S, Sinkus R, van Delden OM, Beuers UH, Verheij J, Nieuwdorp M, Nederveen AJ, Holleboom AG. Assessment of Imaging Modalities Against Liver Biopsy in Nonalcoholic Fatty Liver Disease: The Amsterdam NAFLD-NASH Cohort. J Magn Reson Imaging 2021; 54:1937-1949. [PMID: 33991378 PMCID: PMC9290703 DOI: 10.1002/jmri.27703] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 05/04/2021] [Accepted: 05/06/2021] [Indexed: 12/17/2022] Open
Abstract
Background Noninvasive diagnostic methods are urgently required in disease stratification and monitoring in nonalcoholic fatty liver disease (NAFLD). Multiparametric magnetic resonance imaging (MRI) is a promising technique to assess hepatic steatosis, inflammation, and fibrosis, potentially enabling noninvasive identification of individuals with active and advanced stages of NAFLD. Purpose To examine the diagnostic performance of multiparametric MRI for the assessment of disease severity along the NAFLD disease spectrum with comparison to histological scores. Study Type Prospective, cohort. Population Thirty‐seven patients with NAFLD. Field Strength/Sequence Multiparametric MRI at 3.0 T consisted of magnetic resonance (MR) spectroscopy (MRS) with multi‐echo stimulated‐echo acquisition mode, magnitude‐based and three‐point Dixon using a two‐dimensional multi‐echo gradient echo, MR elastography (MRE) using a generalized multishot gradient‐recalled echo sequence and intravoxel incoherent motion (IVIM) using a multislice diffusion weighted single‐shot echo‐planar sequence. Assessment Histological steatosis grades were compared to proton density fat fraction measured by MRS (PDFFMRS), magnitude‐based MRI (PDFFMRI‐M), and three‐point Dixon (PDFFDixon), as well as FibroScan® controlled attenuation parameter (CAP). Fibrosis and disease activity were compared to IVIM and MRE. FibroScan® liver stiffness measurements were compared to fibrosis levels. Diagnostic performance of all imaging parameters was determined for distinction between simple steatosis and nonalcoholic steatohepatitis (NASH). Statistical Tests Spearman's rank test, Kruskal–Wallis test, Dunn's post‐hoc test with Holm‐Bonferroni P‐value adjustment, receiver operating characteristic curve analysis. A P‐value <0.05 was considered statistically significant. Results Histological steatosis grade correlated significantly with PDFFMRS (rs = 0.66, P < 0.001), PDFFMRI‐M (rs = 0.68, P < 0.001), and PDFFDixon (rs = 0.67, P < 0.001), whereas no correlation was found with CAP. MRE and IVIM diffusion and perfusion significantly correlated with disease activity (rs = 0.55, P < 0.001, rs = −0.40, P = 0.016, rs = −0.37, P = 0.027, respectively) and fibrosis (rs = 0.55, P < 0.001, rs = −0.46, P = 0.0051; rs = −0.53, P < 0.001, respectively). MRE and IVIM diffusion had the highest area‐under‐the‐curve for distinction between simple steatosis and NASH (0.79 and 0.73, respectively). Data Conclusion Multiparametric MRI is a promising method for noninvasive, accurate, and sensitive distinction between simple hepatic steatosis and NASH, as well as for the assessment of steatosis and fibrosis severity. Level of Evidence 2 Technical Efficacy 2
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Affiliation(s)
- Marian A Troelstra
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Julia J Witjes
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Anne-Marieke van Dijk
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Anne L Mak
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Oliver Gurney-Champion
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Jurgen H Runge
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Diona Zwirs
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Daniela Stols-Gonçalves
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Aelko H Zwinderman
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Marije Ten Wolde
- Department of Internal Medicine, Flevoziekenhuis, Almere, The Netherlands
| | - Houshang Monajemi
- Department of Internal Medicine, Rijnstate Ziekenhuis, Arnhem, The Netherlands
| | - Sandjai Ramsoekh
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Ralph Sinkus
- Inserm U1148, LVTS, University Paris Diderot, University Paris 13, Paris, France.,School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Otto M van Delden
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Ulrich H Beuers
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Joanne Verheij
- Department of Pathology, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Max Nieuwdorp
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Adriaan G Holleboom
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
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Witjes JJ, Smits LP, Pekmez CT, Prodan A, Meijnikman AS, Troelstra MA, Bouter KEC, Herrema H, Levin E, Holleboom AG, Winkelmeijer M, Beuers UH, van Lienden K, Aron-Wisnewky J, Mannisto V, Bergman JJ, Runge JH, Nederveen AJ, Dragsted LO, Konstanti P, Zoetendal EG, de Vos W, Verheij J, Groen AK, Nieuwdorp M. Donor Fecal Microbiota Transplantation Alters Gut Microbiota and Metabolites in Obese Individuals With Steatohepatitis. Hepatol Commun 2020; 4:1578-1590. [PMID: 33163830 PMCID: PMC7603524 DOI: 10.1002/hep4.1601] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/27/2020] [Accepted: 07/31/2020] [Indexed: 12/11/2022] Open
Abstract
The intestinal microbiota has been linked to the development and prevalence of steatohepatitis in humans. Interestingly, steatohepatitis is significantly lower in individuals taking a plant-based, low-animal-protein diet, which is thought to be mediated by gut microbiota. However, data on causality between these observations in humans is scarce. In this regard, fecal microbiota transplantation (FMT) using healthy donors is safe and is capable of changing microbial composition in human disease. We therefore performed a double-blind randomized controlled proof-of-principle study in which individuals with hepatic steatosis on ultrasound were randomized to two study arms: lean vegan donor (allogenic n = 10) or own (autologous n = 11) FMT. Both were performed three times at 8-week intervals. A liver biopsy was performed at baseline and after 24 weeks in every subject to determine histopathology (Nonalcoholic Steatohepatitis Clinical Research Network) classification and changes in hepatic gene expression based on RNA sequencing. Secondary outcome parameters were changes in intestinal microbiota composition and fasting plasma metabolomics. We observed a trend toward improved necro-inflammatory histology, and found significant changes in expression of hepatic genes involved in inflammation and lipid metabolism following allogenic FMT. Intestinal microbial community structure changed following allogenic FMT, which was associated with changes in plasma metabolites as well as markers of . Conclusion: Allogenic FMT using lean vegan donors in individuals with hepatic steatosis shows an effect on intestinal microbiota composition, which is associated with beneficial changes in plasma metabolites and markers of steatohepatitis.
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Affiliation(s)
- Julia J Witjes
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Loek P Smits
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Ceyda T Pekmez
- Department of Nutrition, Exercise and Sports University of Copenhagen Copenhagen Denmark
| | - Andrei Prodan
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Abraham S Meijnikman
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Marian A Troelstra
- Department of Radiology & Nuclear Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Kristien E C Bouter
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Hilde Herrema
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Evgeni Levin
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Adriaan G Holleboom
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Maaike Winkelmeijer
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Ulrich H Beuers
- Department of Gastroenterology and Hepatology Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Krijn van Lienden
- Department of Radiology & Nuclear Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Judith Aron-Wisnewky
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Ville Mannisto
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Jacques J Bergman
- Department of Gastroenterology and Hepatology Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Jurgen H Runge
- Department of Radiology & Nuclear Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Aart J Nederveen
- Department of Radiology & Nuclear Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Lars O Dragsted
- Department of Nutrition, Exercise and Sports University of Copenhagen Copenhagen Denmark
| | - Prokopis Konstanti
- Laboratory of Microbiology Wageningen University Wageningen the Netherlands
| | - Erwin G Zoetendal
- Laboratory of Microbiology Wageningen University Wageningen the Netherlands
| | - Willem de Vos
- Laboratory of Microbiology Wageningen University Wageningen the Netherlands.,Faculty of Medicine Human Microbiome Research Program University of Helsinki Finland
| | - Joanne Verheij
- Department of Pathology Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
| | - Albert K Groen
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands.,Department of Laboratory Medicine University of Groningen University Medical Center Groningen the Netherlands
| | - Max Nieuwdorp
- Department of Internal and Vascular Medicine Amsterdam University Medical Centers Location AMC Amsterdam the Netherlands
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Runge JH, Akkerman EM, Troelstra MA, Nederveen AJ, Beuers U, Stoker J. Comparison of clinical MRI liver iron content measurements using signal intensity ratios, R 2 and R 2. Abdom Radiol (NY) 2016; 41:2123-2131. [PMID: 27431019 PMCID: PMC5059419 DOI: 10.1007/s00261-016-0831-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Purpose To compare three types of MRI liver iron content (LIC) measurement performed in daily clinical routine in a single center over a 6-year period. Methods Patients undergoing LIC MRI-scans (1.5T) at our center between January 1, 2008 and December 31, 2013 were retrospectively included. LIC was measured routinely with signal intensity ratio (SIR) and MR-relaxometry (R2 and R2*) methods. Three observers placed regions-of-interest. The success rate was the number of correctly acquired scans over the total number of scans. Interobserver agreement was assessed with intraclass correlation coefficients (ICC) and Bland–Altman analysis, correlations between LICSIR, R2, R2*, and serum values with Spearman’s rank correlation coefficient. Diagnostic accuracies of LICSIR, R2 and serum transferrin, transferrin-saturation, and ferritin compared to increased R2* (≥44 Hz) as indicator of iron overload were assessed using ROC-analysis. Results LIC MRI-scans were performed in 114 subjects. SIR, R2, and R2* data were successfully acquired in 102/114 (89%), 71/114 (62%), and 112/114 (98%) measurements, with the lowest success rate for R2. The ICCs of SIR, R2, and R2* did not differ at 0.998, 0.997, and 0.999. R2 and serum ferritin had the highest diagnostic accuracies to detect elevated R2* as mark of iron overload. Conclusions SIR and R2* are preferable over R2 in terms of success rates. R2*’s shorter acquisition time and wide range of measurable LIC values favor R2* over SIR for MRI-based LIC measurement. Electronic supplementary material The online version of this article (doi:10.1007/s00261-016-0831-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jurgen H Runge
- Department of Radiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands.
| | - Erik M Akkerman
- Department of Radiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - Marian A Troelstra
- Department of Radiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - Aart J Nederveen
- Department of Radiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - Ulrich Beuers
- Department of Gastroenterology & Hepatology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - Jaap Stoker
- Department of Radiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
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