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Orcel T, Chau HT, Turlin B, Chaigneau J, Bannier E, Otal P, Frampas E, Leguen A, Boulic A, Saint-Jalmes H, Aubé C, Boursier J, Bardou-Jacquet E, Gandon Y. Evaluation of proton density fat fraction (PDFF) obtained from a vendor-neutral MRI sequence and MRQuantif software. Eur Radiol 2023; 33:8999-9009. [PMID: 37402003 DOI: 10.1007/s00330-023-09798-4] [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: 10/09/2022] [Revised: 03/29/2023] [Accepted: 04/21/2023] [Indexed: 07/05/2023]
Abstract
OBJECTIVE To validate the proton density fat fraction (PDFF) obtained by the MRQuantif software from 2D chemical shift encoded MR (CSE-MR) data in comparison with the histological steatosis data. METHODS This study, pooling data from 3 prospective studies spread over time between January 2007 and July 2020, analyzed 445 patients who underwent 2D CSE-MR and liver biopsy. MR derived liver iron concentration (MR-LIC) and PDFF was calculated using the MRQuantif software. The histological standard steatosis score (SS) served as reference. In order to get a value more comparable to PDFF, histomorphometry fat fraction (HFF) were centrally determined for 281 patients. Spearman correlation and the Bland and Altman method were used for comparison. RESULTS Strong correlations were found between PDFF and SS (rs = 0.84, p < 0.001) or HFF (rs = 0.87, p < 0.001). Spearman's coefficients increased to 0.88 (n = 324) and 0.94 (n = 202) when selecting only the patients without liver iron overload. The Bland and Altman analysis between PDFF and HFF found a mean bias of 5.4% ± 5.7 [95% CI 4.7, 6.1]. The mean bias was 4.7% ± 3.7 [95% CI 4.2, 5.3] and 7.1% ± 8.8 [95% CI 5.2, 9.0] for the patients without and with liver iron overload, respectively. CONCLUSION The PDFF obtained by MRQuantif from a 2D CSE-MR sequence is highly correlated with the steatosis score and very close to the fat fraction estimated by histomorphometry. Liver iron overload reduced the performance of steatosis quantification and joint quantification is recommended. This device-independent method can be particularly useful for multicenter studies. CLINICAL RELEVANCE STATEMENT The quantification of liver steatosis using a vendor-neutral 2D chemical-shift MR sequence, processed by MRQuantif, is well correlated to steatosis score and histomorphometric fat fraction obtained from biopsy, whatever the magnetic field and the MR device used. KEY POINTS • The PDFF measured by MRQuantif from 2D CSE-MR sequence data is highly correlated to hepatic steatosis. • Steatosis quantification performance is reduced in case of significant hepatic iron overload. • This vendor-neutral method may allow consistent estimation of PDFF in multicenter studies.
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Affiliation(s)
- T Orcel
- Department of Radiology, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France
| | - H T Chau
- Department of Radiology, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France
- NUMECAN, INSERM U1099, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France
| | - B Turlin
- NUMECAN, INSERM U1099, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France
- Department of Pathology, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France
| | - J Chaigneau
- HIFIH, UPRES EA3859, Angers University Hospital, 4 Rue Larrey, 49993, Angers, France
| | - E Bannier
- Department of Radiology, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France
- EMPENN U746 Unit/Project, INSERM/INRIA, IRISA, University of Rennes, Beaulieu Campus, UMR CNRS 6074, 35042, Rennes, France
| | - P Otal
- Department of Radiology, Toulouse University Hospital, 1 Av Pr J. Poulhes, 31059, Toulouse, France
| | - E Frampas
- Department of Radiology, Nantes University Hospital, 1 Pl. Alexis-Ricordeau, 44000, Nantes, France
| | - A Leguen
- Department of Radiology, Bretagne-Atlantique Hospital, 20 Bd Général Maurice Guillaudot, 56000, Vannes, France
| | - A Boulic
- Department of Radiology, Bretagne Sud Hospital, 5 Avenue de Choiseul, 56322, Lorient, France
| | - H Saint-Jalmes
- INSERM U1099, LTSI, University of Rennes, Beaulieu Campus, 35042, Rennes, France
| | - C Aubé
- HIFIH, UPRES EA3859, Angers University Hospital, 4 Rue Larrey, 49993, Angers, France
- Department of Radiology, Angers University Hospital, 4 Rue Larrey, 49993, Angers, France
| | - J Boursier
- HIFIH, UPRES EA3859, Angers University Hospital, 4 Rue Larrey, 49993, Angers, France
- Department of Hepatology-GastoeEnterology, Angers University Hospital, 4 Rue Larrey, 49993, Angers, France
| | - E Bardou-Jacquet
- NUMECAN, INSERM U1099, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France
- Department of Hepatology, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France
| | - Y Gandon
- Department of Radiology, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France.
- NUMECAN, INSERM U1099, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France.
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Moura Cunha G, Navin PJ, Fowler KJ, Venkatesh SK, Ehman RL, Sirlin CB. Quantitative magnetic resonance imaging for chronic liver disease. Br J Radiol 2021; 94:20201377. [PMID: 33635729 DOI: 10.1259/bjr.20201377] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Chronic liver disease (CLD) has rapidly increased in prevalence over the past two decades, resulting in significant morbidity and mortality worldwide. Historically, the clinical gold standard for diagnosis, assessment of severity, and longitudinal monitoring of CLD has been liver biopsy with histological analysis, but this approach has limitations that may make it suboptimal for clinical and research settings. Magnetic resonance (MR)-based biomarkers can overcome the limitations by allowing accurate, precise, and quantitative assessment of key components of CLD without the risk of invasive procedures. This review briefly describes the limitations associated with liver biopsy and the need for non-invasive biomarkers. It then discusses the current state-of-the-art for MRI-based biomarkers of liver iron, fat, and fibrosis, and inflammation.
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Affiliation(s)
- Guilherme Moura Cunha
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | | | - Kathryn J Fowler
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | | | | | - Claude B Sirlin
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
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Park S, Lee J, Cho HR, Kim K, Bang YS, Kim YU. The predictive role of the posterior tibial tendon cross-sectional area in early diagnosing posterior tibial tendon dysfunction. Medicine (Baltimore) 2020; 99:e21823. [PMID: 32899011 PMCID: PMC7478822 DOI: 10.1097/md.0000000000021823] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
A hypertrophied posterior tibial tendon (PTT) has been considered to be an important morphologic parameter of PTT dysfunction (PTTD). Previous research has demonstrated that the PTT thickness (PTTT) is correlated with early signs of PTTD. However, the thickness is different from hypertrophy. Thus, we devised the PTT cross-sectional area (PTTCSA) as a new predictive parameter for diagnosing the PTTD.The PTT data were acquired from 14 patients with PTTD and from 20 normal individuals who underwent ankle magnetic resonance imaging. We measured the PTTT and PTTCSA at the PTT on the ankle magnetic resonance imaging.The mean PTTT was 2.43 ± 0.39 mm in the normal group and 3.40 ± 0.42 mm in the PTTD group. The average PTTCSA was 16.10 ± 4.27 mm in the normal group and 26.93 ± 4.38 mm in the PTTD group. The receiver operator characteristic analysis curve demonstrated that the highest predictive value of the PTTT was 3.07 mm, with 85.7% sensitivity, 85.0% specificity. The highest predictive value of the PTTCSA was 22.54 mm, with 92.9% sensitivity, 90.0% specificity.Our findings suggest that the PTTCSA was a more valid predictor of PTTD, even though the PTTT and PTTCSA were both significantly associated with PTTD.
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Affiliation(s)
- Sungchul Park
- Department of Anesthesiology and Pain Medicine, CHA Bundang Medical Center, CHA University, Seongnam
| | - Joohyun Lee
- Department of Anesthesiology and Pain Medicine, Catholic Kwandong University, College of Medicine, International ST. Mary's Hospital, Incheon
| | - Hyung Rae Cho
- Department of Anesthesiology and Pain Medine, Myongji Hospital, Hanyang University College of Medicine, Goyang, Republic of Korea
| | - Koeun Kim
- Department of Anesthesiology and Pain Medicine, CHA Bundang Medical Center, CHA University, Seongnam
| | - Yun-Sic Bang
- Department of Anesthesiology and Pain Medicine, CHA Bundang Medical Center, CHA University, Seongnam
| | - Young Uk Kim
- Department of Anesthesiology and Pain Medicine, Catholic Kwandong University, College of Medicine, International ST. Mary's Hospital, Incheon
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Mamidipalli A, Fowler KJ, Hamilton G, Wolfson T, Covarrubias Y, Tran C, Fazeli S, Wiens CN, McMillan A, Artz NS, Funk LM, Campos GM, Greenberg JA, Gamst A, Middleton MS, Schwimmer JB, Reeder SB, Sirlin CB. Prospective comparison of longitudinal change in hepatic proton density fat fraction (PDFF) estimated by magnitude-based MRI (MRI-M) and complex-based MRI (MRI-C). Eur Radiol 2020; 30:5120-5129. [PMID: 32318847 DOI: 10.1007/s00330-020-06858-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 03/11/2020] [Accepted: 04/01/2020] [Indexed: 12/26/2022]
Abstract
PURPOSE To compare longitudinal hepatic proton density fat fraction (PDFF) changes estimated by magnitude- vs. complex-based chemical-shift-encoded MRI during a weight loss surgery (WLS) program in severely obese adults with biopsy-proven nonalcoholic fatty liver disease (NAFLD). METHODS This was a secondary analysis of a prospective dual-center longitudinal study of 54 adults (44 women; mean age 52 years; range 27-70 years) with obesity, biopsy-proven NAFLD, and baseline PDFF ≥ 5%, enrolled in a WLS program. PDFF was estimated by confounder-corrected chemical-shift-encoded MRI using magnitude (MRI-M)- and complex (MRI-C)-based techniques at baseline (visit 1), after a 2- to 4-week very low-calorie diet (visit 2), and at 1, 3, and 6 months (visits 3 to 5) after surgery. At each visit, PDFF values estimated by MRI-M and MRI-C were compared by a paired t test. Rates of PDFF change estimated by MRI-M and MRI-C for visits 1 to 3, and for visits 3 to 5 were assessed by Bland-Altman analysis and intraclass correlation coefficients (ICCs). RESULTS MRI-M PDFF estimates were lower by 0.5-0.7% compared with those of MRI-C at all visits (p < 0.001). There was high agreement and no difference between PDFF change rates estimated by MRI-M vs. MRI-C for visits 1 to 3 (ICC 0.983, 95% CI 0.971, 0.99; bias = - 0.13%, p = 0.22), or visits 3 to 5 (ICC 0.956, 95% CI 0.919-0.977%; bias = 0.03%, p = 0.36). CONCLUSION Although MRI-M underestimates PDFF compared with MRI-C cross-sectionally, this bias is consistent and MRI-M and MRI-C agree in estimating the rate of hepatic PDFF change longitudinally. KEY POINTS • MRI-M demonstrates a significant but small and consistent bias (0.5-0.7%; p < 0.001) towards underestimation of PDFF compared with MRI-C at 3 T. • Rates of PDFF change estimated by MRI-M and MRI-C agree closely (ICC 0.96-0.98) in adults with severe obesity and biopsy- proven NAFLD enrolled in a weight loss surgery program. • Our findings support the use of either MRI technique (MRI-M or MRI-C) for clinical care or by individual sites or for multi-center trials that include PDFF change as an endpoint. However, since there is a bias in their measurements, the same technique should be used in any given patient for longitudinal follow-up.
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Affiliation(s)
- Adrija Mamidipalli
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, CA, USA
| | - Kathryn J Fowler
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, CA, USA
| | - Gavin Hamilton
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, CA, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory, Supercomputer Center, University of California - San Diego, San Diego, CA, USA
| | - Yesenia Covarrubias
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, CA, USA
| | - Calvin Tran
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, CA, USA
| | - Soudabeh Fazeli
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, CA, USA
| | - Curtis N Wiens
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - Alan McMillan
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - Nathan S Artz
- Department of Radiology, University of Wisconsin, Madison, WI, USA
| | - Luke M Funk
- Department of Surgery, University of Wisconsin, Madison, WI, USA.,William S. Middleton VA, Madison, WI, USA
| | - Guilherme M Campos
- Department of Surgery, Medical College of Virginia, Virginia Commonwealth University, Richmond, VA, Virginia, USA
| | | | - Anthony Gamst
- Computational and Applied Statistics Laboratory, Supercomputer Center, University of California - San Diego, San Diego, CA, USA
| | - Michael S Middleton
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, CA, USA
| | - Jeffrey B Schwimmer
- Division of Gastroenterology; Hepatology and Nutrition; Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,Department of Gastroenterology, Rady Children's Hospital, San Diego, CA, USA
| | - Scott B Reeder
- Departments of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin, Madison, WI, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, CA, USA.
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5
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Cunha GM, Thai TT, Hamilton G, Covarrubias Y, Schlein A, Middleton MS, Wiens CN, McMillan A, Agni R, Funk LM, Campos GM, Horgan S, Jacobson G, Wolfson T, Gamst A, Schwimmer JB, Reeder SB, Sirlin CB. Accuracy of common proton density fat fraction thresholds for magnitude- and complex-based chemical shift-encoded MRI for assessing hepatic steatosis in patients with obesity. Abdom Radiol (NY) 2020; 45:661-671. [PMID: 31781899 DOI: 10.1007/s00261-019-02350-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE MRI proton density fat fraction (PDFF) can be calculated using magnitude (MRI-M) or complex (MRI-C) MRI data. The purpose of this study was to identify, assess, and compare the accuracy of common PDFF thresholds for MRI-M and MRI-C for assessing hepatic steatosis in patients with obesity, using histology as reference. METHODS This two-center prospective study included patients undergoing MRI-C- and MRI-M-PDFF estimations within 3 days before weight loss surgery. Liver biopsy was performed, and histology-determined steatosis grades were used as reference standard. Using receiver operating characteristics (ROC) analysis on data pooled from both methods, single common thresholds for diagnosing and differentiating none or mild (0-1) from moderate to severe steatosis (2-3) were selected as the ones achieving the highest sensitivity while providing at least 90% specificity. Selection methods were cross-validated. Performances were compared using McNemar's tests. RESULTS Of 81 included patients, 54 (67%) had steatosis. The common PDFF threshold for diagnosing steatosis was 5.4%, which provided a cross-validated 0.88 (95% CI 0.77-0.95) sensitivity and 0.92 (0.75-0.99) specificity for MRI-M and 0.87 sensitivity (0.75-0.94) with 0.81 (0.61-0.93) specificity for MRI-C. The common PDFF threshold to differentiate steatosis grades 0-1 from 2 to 3 was 14.7%, which provided cross-validated 0.86 (95% CI 0.59-0.98) sensitivity and 0.95 (0.87-0.99) specificity for MRI-M and 0.93 sensitivity (0.68-0.99) with 0.97(0.89-0.99) specificity for MRI-C. CONCLUSION If independently validated, diagnostic thresholds of 5.4% and 14.7% could be adopted for both techniques for detecting and differentiating none to mild from moderate to severe steatosis, respectively, with high diagnostic accuracy.
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Affiliation(s)
- Guilherme Moura Cunha
- Liver Imaging Group, Radiology, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA.
- Liver Imaging Group, Radiology, Altman Clinical Translational Research Institute, 9452 Medical Center Drive, Lower Level 501, La Jolla, CA, 92037, USA.
| | - Tydus T Thai
- Liver Imaging Group, Radiology, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
| | - Gavin Hamilton
- Liver Imaging Group, Radiology, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
| | - Yesenia Covarrubias
- Liver Imaging Group, Radiology, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
| | - Alexandra Schlein
- Liver Imaging Group, Radiology, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
| | - Michael S Middleton
- Liver Imaging Group, Radiology, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
| | - Curtis N Wiens
- Department of Radiology, E3/366 Clinical Science Center, University of Wisconsin, School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-3252, USA
| | - Alan McMillan
- Department of Radiology, E3/366 Clinical Science Center, University of Wisconsin, School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-3252, USA
| | - Rashmi Agni
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, 3170 UW Medical Foundation Centennial Building (MFCB), 1685 Highland Avenue, Madison, WI, 53705-2281, USA
| | - Luke M Funk
- Surgery, University of Wisconsin, Clinical Science Center, 600 Highland Avenue, Madison, WI, 53792-3252, USA
| | - Guilherme M Campos
- Department of Surgery, West Hospital, Virginia Commonwealth University, 1200 East Broad Street 16th Floor, West Wing Box 980645, Richmond, VA, 23298-0645, USA
| | - Santiago Horgan
- Surgery, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
| | - Garth Jacobson
- Surgery, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputer Center, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
| | - Anthony Gamst
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputer Center, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
| | - Jeffrey B Schwimmer
- Pediatrics, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
| | - Scott B Reeder
- Department of Radiology, E3/366 Clinical Science Center, University of Wisconsin, School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-3252, USA
- Medical Physics, University of Wisconsin Madison, Clinical Science Center, 600 Highland Avenue, Madison, WI, 53792-3252, USA
- Biomedical Engineering, Madison, WI, Clinical Science Center, 600 Highland Avenue, Madison, WI, 53792-3252, USA
| | - Claude B Sirlin
- Liver Imaging Group, Radiology, University of California-San Diego, 9500 Gilman Drive, San Diego, CA, 92037, USA
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Goyal NP, Sawh MC, Ugalde-Nicalo P, Angeles JE, Proudfoot JA, Newton KP, Middleton MS, Sirlin CB, Schwimmer JB. Evaluation of Quantitative Imaging Biomarkers for Early-phase Clinical Trials of Steatohepatitis in Adolescents. J Pediatr Gastroenterol Nutr 2020; 70:99-105. [PMID: 31633654 PMCID: PMC8053386 DOI: 10.1097/mpg.0000000000002535] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Early-phase pediatric nonalcoholic fatty liver disease (NAFLD) clinical trials are designed with noninvasive parameters to assess potential efficacy. Increasingly, these parameters include magnetic resonance imaging (MRI)-derived proton density fat fraction (PDFF) and MR elastography (MRE)-derived shear stiffness as biomarkers of hepatic steatosis and fibrosis, respectively. Understanding fluctuations in these measures is essential for calculating trial sample sizes, interpreting results, and planning clinical drug trials in children with NAFLD. Lack of such data in children constitutes a critical knowledge gap. Therefore, the primary aim of this study was to assess whole-liver MRI-PDFF change in adolescents with nonalcoholic steatohepatitis (NASH) over 12 weeks. METHODS Adolescents 12 to 19 years with biopsy-proven NASH undergoing standard-of-care treatment were enrolled. Baseline and week-12 assessments of anthropometrics, transaminases, MRI-PDFF, and MRE stiffness were obtained. RESULTS Fifteen adolescents were included (mean age 15.7 [SD 2.9] years). Hepatic MRI-PDFF was stable over 12 weeks (mean absolute change -0.8%, P = 0.24). Correlation between baseline and week-12 values of MRI-PDFF was high (ICC = 0.97, 95% CI 0.90-0.99). MRE stiffness was stable (mean percentage change 2.7%, P = 0.44); correlation between baseline and week-12 values was moderate (ICC = 0.47; 95% CI 0-0.79). Changes in weight, BMI, and aminotransferases were not statistically significant. CONCLUSION In adolescents with NASH, fluctuations in hepatic MRI-PDFF and MRE stiffness over 12 weeks of standard-of-care were small. These data on the natural fluctuations in quantitative imaging biomarkers can serve as a reference for interventional trials in pediatric NASH and inform the interpretation and planning of clinical trials.
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Affiliation(s)
- Nidhi P. Goyal
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, California
- Department of Gastroenterology, Rady Children's Hospital San Diego, San Diego, California
| | - Mary Catherine Sawh
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, California
- Department of Gastroenterology, Rady Children's Hospital San Diego, San Diego, California
| | - Patricia Ugalde-Nicalo
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, California
| | - Jorge E. Angeles
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, California
| | - James A. Proudfoot
- Clinical and Translational Research Institute, University of California, San Diego
| | - Kimberly P. Newton
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, California
- Department of Gastroenterology, Rady Children's Hospital San Diego, San Diego, California
| | - Michael S. Middleton
- Liver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, California
| | - Claude B. Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, California
| | - Jeffrey B. Schwimmer
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, California
- Department of Gastroenterology, Rady Children's Hospital San Diego, San Diego, California
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Qu Y, Li M, Hamilton G, Zhang YN, Song B. Diagnostic accuracy of hepatic proton density fat fraction measured by magnetic resonance imaging for the evaluation of liver steatosis with histology as reference standard: a meta-analysis. Eur Radiol 2019; 29:5180-5189. [PMID: 30877459 DOI: 10.1007/s00330-019-06071-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 12/24/2018] [Accepted: 02/04/2019] [Indexed: 02/08/2023]
Abstract
OBJECTIVES The aim of this meta-analysis was to evaluate the diagnostic accuracy of hepatic magnetic resonance imaging-proton density fat fraction (MRI-PDFF) for the assessment of liver steatosis (LS) with histology as reference standard. METHODS A systematic literature search was performed to identify pertinent studies. Quality analyses were conducted by Quality Assessment of Diagnostic Accuracy Studies-2. Diagnostic data were extracted and inconsistency index was calculated for LS≥G1, LS≥G2, and LS=G3, respectively. The area under summary receiver operating characteristic curve (AUC) served as the indicator of diagnostic accuracy. The pooled sensitivity and specificity were calculated if threshold effect was absent. RESULTS Thirteen studies containing 1100 subjects were included. There was significant threshold effect for LS≥G1. The AUCs for LS≥G1, LS≥G2, and LS=G3 were 0.98 (95% confidence interval (CI) 0.76, 1.00), 0.91 (95% CI 0.89, 0.94), and 0.92 (95% CI 0.89, 0.94), respectively. The pooled sensitivities for LS≥G2 and LS=G3 were 0.83 (95% CI 0.75, 0.88) and 0.79 (95% CI 0.63, 0.90), respectively; the pooled specificities for LS≥G2 and LS=G3 were 0.89 (95% CI 0.84, 0.92) and 0.89 (95% CI 0.84, 0.92), respectively. CONCLUSIONS MRI-PDFF has high diagnostic accuracy at detecting and grading LS with histology as reference standard, suggesting that MRI-PDFF is able to provide an accurate quantification of LS in clinical trials and patient care. KEY POINT • MRI-PDFF is able to provide an accurate quantification of LS in clinical trials and patient care.
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Affiliation(s)
- Yali Qu
- Department of Radiology, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China
| | - Mou Li
- Department of Radiology, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China
| | - Gavin Hamilton
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, USA
| | - Yingzhen N Zhang
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA, USA
| | - Bin Song
- Department of Radiology, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
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Preoperative Evaluation of Pancreatic Fibrosis and Lipomatosis: Correlation of Magnetic Resonance Findings With Histology Using Magnetization Transfer Imaging and Multigradient Echo Magnetic Resonance Imaging. Invest Radiol 2019; 53:720-727. [PMID: 30247172 DOI: 10.1097/rli.0000000000000496] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVES The purpose of this study was to evaluate the diagnostic performance of magnetization transfer (MT) imaging and multigradient echo magnetic resonance imaging (MRI) to quantify pancreatic fibrosis and lipomatosis in patients before pancreatoduodenectomy for postoperative risk stratification with histopathology as the reference standard. MATERIALS AND METHODS Twenty-four patients (age, 68 ± 8 years, 16 males) prospectively underwent quantitative MT imaging using a 2-dimensional gradient echo sequence with and without MT prepulse and multigradient echo imaging on a 3 T MRI 1 day before pancreatoduodenectomy due to adenocarcinoma of the pancreatic head region (n = 20), neuroendocrine tumor (n = 3), or intraductal papillary mucinous neoplasm (n = 1). Magnetization transfer ratio (MTR) and proton density fat fraction (PDFF) were measured in pancreatic tail (PT) and at the resection margin (RM). Histopathologically, pancreatic fibrosis was graded as mild, moderate, or severe (F1-F3), lipomatosis was graded as 0% to 10%, 11% to 30%, and greater than 30% fat deposition (L1-L3). In addition, MTR and histopathologic fibrosis was assessed in pancreatic adenocarcinoma. Mann-Whitney U test and Spearman correlation were used. RESULTS Patients with advanced pancreatic fibrosis (F3) showed a significantly higher MTR compared with the F1 group at the RM and PT (38 ± 4 vs 32.3 ± 1.6, P = 0.018 and 39.7 ± 5.5 vs 31.2 ± 1.7, P = 0.001). Spearman correlation coefficient of MTR and fibrosis grade was r = 0.532 (P = 0.011) and 0.554 (P = 0.008), respectively. Pancreatic parenchyma with advanced fat deposition (L2-L3) showed significantly higher PDFF compared with lipomatosis grade L1 (RM: P = 0.002 and PT: P = 0.001). Proton density fat fraction of pancreatic parenchyma exhibited a moderate and significant correlation with histopathologic lipomatosis grade (RM: r = 0.668 and PT: r = 0.707, P < 0.001). Magnetization transfer ratio was significantly higher in pancreatic adenocarcinoma compared with pancreatic parenchyma (44 ± 5.5 vs 36.0 ± 4.4 and 37.4 ± 5.4, P = 0.004). CONCLUSIONS Multiparametric MRI of the pancreas including MTR and PDFF maps may provide quantitative and noninvasive information on pancreatic fibrosis and lipomatosis before surgery.
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9
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Comparison of navigator-gated and breath-held image acquisition techniques for multi-echo quantitative dixon imaging of the liver in children and young adults. Abdom Radiol (NY) 2019; 44:2172-2181. [PMID: 30815713 DOI: 10.1007/s00261-019-01960-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE Acquired over a breath hold, multi-echo Dixon (mDixon) magnetic resonance imaging (MRI) of the liver can be used to quantify proton density fat fraction (PDFF) and iron-related signal decay. However, young, obese, and co-morbid patients may have limited breath holding capacity and could benefit from a motion-robust mDixon acquisition. The purpose of this study was to compare hepatic PDFF and R2* values between navigator-gated and breath-held mDixon MRI acquisition techniques in children and young adults with suspected liver disease. MATERIALS AND METHODS This retrospective study was institutional review board-approved with a waiver of informed consent. Patients who underwent liver MRI with breath-held and navigator-gated mDixon sequences between January 2017 and July 2018 were included. One reviewer, blinded to sequence, measured PDFF and R2* on four images from each sequence. Another blinded reviewer graded respiratory motion (5-point Likert scale). Pearson correlation (r), Lin's concordance coefficients (rc), and Bland-Altman analyses were used to assess agreement between techniques. Frequency of clinically limiting motion (score ≥ 3) was compared with Fisher's exact test. RESULTS Forty-two patients were included (15 female, 27 male; mean age: 15.7 ± 4.6 years). Mean PDFF and R2* were 16.6 ± 13.1% and 29.3 ± 4.7 s-1 (breath-held) versus 17.0 ± 13.2% and 29.6 ± 5.2 s-1 (navigator-gated). PDFF agreed almost perfectly between sequences (rc = 0.997, 95% CI 0.994-0.998; mean bias: 0.3%; 95% limits of agreement: - 2.4 to +1.7%), while R2* values correlated very strongly but with poor agreement (r = 0.837, rc = 0.832, 95% CI 0.716-0.910). Navigator-gated images exhibited significantly higher frequency of clinically limiting respiratory motion (88% vs. 48%, p = 0.0001). CONCLUSION Despite greater respiratory motion artifact, a free-breathing navigator-gated mDixon sequence produces PDFF values with almost perfect agreement to a breath-held sequence.
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10
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Jayakumar S, Middleton MS, Lawitz EJ, Mantry PS, Caldwell SH, Arnold H, Mae Diehl A, Ghalib R, Elkhashab M, Abdelmalek MF, Kowdley KV, Stephen Djedjos C, Xu R, Han L, Mani Subramanian G, Myers RP, Goodman ZD, Afdhal NH, Charlton MR, Sirlin CB, Loomba R. Longitudinal correlations between MRE, MRI-PDFF, and liver histology in patients with non-alcoholic steatohepatitis: Analysis of data from a phase II trial of selonsertib. J Hepatol 2019; 70:133-141. [PMID: 30291868 DOI: 10.1016/j.jhep.2018.09.024] [Citation(s) in RCA: 140] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Revised: 09/18/2018] [Accepted: 09/24/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Non-invasive tools for monitoring treatment response and disease progression in non-alcoholic steatohepatitis (NASH) are needed. Our objective was to evaluate the utility of magnetic resonance (MR)-based hepatic imaging measures for the assessment of liver histology in patients with NASH. METHODS We analyzed data from patients with NASH and stage 2 or 3 fibrosis enrolled in a phase II study of selonsertib. Pre- and post-treatment assessments included centrally read MR elastography (MRE)-estimated liver stiffness, MR imaging-estimated proton density fat fraction (MRI-PDFF), and liver biopsies evaluated according to the NASH Clinical Research Network classification and the non-alcoholic fatty liver disease activity score (NAS). RESULTS Among 54 patients with MRE and biopsies at baseline and week 24, 18 (33%) had fibrosis improvement (≥1-stage reduction) after undergoing 24 weeks of treatment with the study drug. The area under the receiver operating characteristic curve (AUROC) of MRE-stiffness to predict fibrosis improvement was 0.62 (95% CI 0.46-0.78) and the optimal threshold was a ≥0% relative reduction. At this threshold, MRE had 67% sensitivity, 64% specificity, 48% positive predictive value, 79% negative predictive value. Among 65 patients with MRI-PDFF and biopsies at baseline and week 24, a ≥1-grade reduction in steatosis was observed in 18 (28%). The AUROC of MRI-PDFF to predict steatosis response was 0.70 (95% CI 0.57-0.83) and the optimal threshold was a ≥0% relative reduction. At this threshold, MRI-PDFF had 89% sensitivity and 47% specificity, 39% positive predictive value, and 92% negative predictive value. CONCLUSIONS These preliminary data support the further evaluation of MRE-stiffness and MRI-PDFF for the longitudinal assessment of histologic response in patients with NASH. LAY SUMMARY Liver biopsy is a potentially painful and risky method to assess damage to the liver due to non-alcoholic steatohepatitis (NASH). We analyzed data from a clinical trial to determine if 2 methods of magnetic resonance imaging - 1 to measure liver fat and 1 to measure liver fibrosis (scarring) - could potentially replace liver biopsy in evaluating NASH-related liver injury. Both imaging methods were correlated with biopsy in showing the effects of NASH on the liver.
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Affiliation(s)
- Saumya Jayakumar
- University of California at San Diego, San Diego, CA, United States
| | | | - Eric J Lawitz
- Texas Liver Institute, University of Texas Health San Antonio, San Antonio, TX, United States
| | - Parvez S Mantry
- The Liver Institute at Methodist Dallas, Dallas, TX, United States
| | | | - Hays Arnold
- Gastroenterology Consultants of San Antonio, San Antonio, TX, United States
| | | | - Reem Ghalib
- Texas Clinical Research Institute, Arlington, TX, United States
| | | | | | | | | | - Ren Xu
- Gilead Sciences, Inc., Foster City, CA, United States
| | - Ling Han
- Gilead Sciences, Inc., Foster City, CA, United States
| | | | | | | | - Nezam H Afdhal
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | | | - Claude B Sirlin
- University of California at San Diego, San Diego, CA, United States
| | - Rohit Loomba
- University of California at San Diego, San Diego, CA, United States.
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11
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Corrias G, Krebs S, Eskreis-Winkler S, Ryan D, Zheng J, Capanu M, Saba L, Monti S, Fung M, Reeder S, Mannelli L. MRI liver fat quantification in an oncologic population: the added value of complex chemical shift-encoded MRI. Clin Imaging 2018; 52:193-199. [PMID: 30103108 PMCID: PMC6289595 DOI: 10.1016/j.clinimag.2018.08.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 07/29/2018] [Accepted: 08/03/2018] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Chemotherapy prolongs the survival of patients with advanced and metastatic tumors. Since the liver plays an active role in the metabolism of chemotherapy agents, hepatic injury is a common adverse effect. The purpose of this study is to compare a novel quantitative chemical shift encoded magnetic resonance imaging (CSE-MRI) method with conventional T1-weighted In and Out of phase (T1 IOP) MR for evaluating the reproducibility of the methods in an oncologic population exposed to chemotherapy. MATERIALS AND METHODS This retrospective study was approved by the institutional review board with a waiver for informed consent. The study included patients who underwent chemotherapy, no suspected liver iron overload, and underwent upper abdomen MRI. Two radiologists independently draw circular ROIsin the liver parenchyma. The fat fraction was calculated from IOP imaging and measured from IDEAL-IQ fat fraction maps. Two different equations were used to estimate fat with IOP sequences. Intra-class correlation coefficient and repeatability coefficient were estimated to evaluate agreement between two readers on iron level and fat fraction measurement. RESULTS CSE-MRI showed a higher reliability in fat quantification compared with both IOP methods, with a substantially higher inter-reader agreement (0.961 vs 0.372). This has important clinical implications. CONCLUSION The novel CSE-MRI method described here provides increased reproducibility and confidence in diagnosing hepatic steatosis in a oncologic clinical setting. IDEAL-IQ has been proved to be more reproducible than conventional IOP imaging.
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Affiliation(s)
- Giuseppe Corrias
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; Department of Radiology, University of Cagliari, Via Università, 40, 09124 Cagliari, CA, Italy
| | - Simone Krebs
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Sarah Eskreis-Winkler
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Davinia Ryan
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Junting Zheng
- Department of Statistics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Marinela Capanu
- Department of Statistics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Luca Saba
- Department of Radiology, University of Cagliari, Via Università, 40, 09124 Cagliari, CA, Italy
| | | | - Maggie Fung
- Global MR Applications and Workflow, GE Healthcare, New York, NY, United States
| | - Scott Reeder
- Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA
| | - Lorenzo Mannelli
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
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12
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Nemeth A, Segrestin B, Leporq B, Seyssel K, Faraz K, Sauvinet V, Disse E, Valette PJ, Laville M, Ratiney H, Beuf O. 3D Chemical Shift-Encoded MRI for Volume and Composition Quantification of Abdominal Adipose Tissue During an Overfeeding Protocol in Healthy Volunteers. J Magn Reson Imaging 2018; 49:1587-1599. [PMID: 30328237 DOI: 10.1002/jmri.26532] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Revised: 09/14/2018] [Accepted: 09/14/2018] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Overweight and obesity are major worldwide health concerns characterized by an abnormal accumulation of fat in adipose tissue (AT) and liver. PURPOSE To evaluate the volume and the fatty acid (FA) composition of the subcutaneous adipose tissue (SAT) and the visceral adipose tissue (VAT) and the fat content in the liver from 3D chemical-shift-encoded (CSE)-MRI acquisition, before and after a 31-day overfeeding protocol. STUDY TYPE Prospective and longitudinal study. SUBJECTS Twenty-one nonobese healthy male volunteers. FIELD STRENGTH/SEQUENCE A 3D spoiled-gradient multiple echo sequence and STEAM sequence were performed at 3T. ASSESSMENT AT volume was automatically segmented on CSE-MRI between L2 to L4 lumbar vertebrae and compared to the dual-energy X-ray absorptiometry (DEXA) measurement. CSE-MRI and MR spectroscopy (MRS) data were analyzed to assess the proton density fat fraction (PDFF) in the liver and the FA composition in SAT and VAT. Gas chromatography-mass spectrometry (GC-MS) analyses were performed on 13 SAT samples as a FA composition countermeasure. STATISTICAL TESTS Paired t-test, Pearson's correlation coefficient, and Bland-Altman plots were used to compare measurements. RESULTS SAT and VAT volumes significantly increased (P < 0.001). CSE-MRI and DEXA measurements were strongly correlated (r = 0.98, P < 0.001). PDFF significantly increased in the liver (+1.35, P = 0.002 for CSE-MRI, + 1.74, P = 0.002 for MRS). FA composition of SAT and VAT appeared to be consistent between localized-MRS and CSE-MRI (on whole segmented volume) measurements. A significant difference between SAT and VAT FA composition was found (P < 0.001 for CSE-MRI, P = 0.001 for MRS). MRS and CSE-MRI measurements of the FA composition were correlated with the GC-MS results (for ndb: rMRS/GC-MS = 0.83 P < 0.001, rCSE-MRI/GC-MS = 0.84, P = 0.001; for nmidb: rMRS/GC-MS = 0.74, P = 0.006, rCSE-MRI/GC-MS = 0.66, P = 0.020) DATA CONCLUSION: The follow-up of liver PDFF, volume, and FA composition of AT during an overfeeding diet was demonstrated through different methods. The CSE-MRI sequence associated with a dedicated postprocessing was found reliable for such quantification. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1587-1599.
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Affiliation(s)
- Angeline Nemeth
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69621, Lyon, France
| | - Bérénice Segrestin
- Centre de Recherche en Nutrition Humaine Rhône-Alpes (CRNH-RA), Centre Hospitalier Lyon Sud, Pierre-Bénite, Lyon, France.,Institut National de la Santé et de la Recherche Médicale Unit 1060, CarMeN Laboratory, Lyon 1 University, Oullins, France
| | - Benjamin Leporq
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69621, Lyon, France
| | - Kevin Seyssel
- Department of Physiology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Khuram Faraz
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69621, Lyon, France
| | - Valérie Sauvinet
- Centre de Recherche en Nutrition Humaine Rhône-Alpes (CRNH-RA), Centre Hospitalier Lyon Sud, Pierre-Bénite, Lyon, France
| | - Emmanuel Disse
- Centre de Recherche en Nutrition Humaine Rhône-Alpes (CRNH-RA), Centre Hospitalier Lyon Sud, Pierre-Bénite, Lyon, France.,Institut National de la Santé et de la Recherche Médicale Unit 1060, CarMeN Laboratory, Lyon 1 University, Oullins, France
| | - Pierre-Jean Valette
- Hospices Civils de Lyon, Département d'imagerie digestive, CHU Edouard Herriot, Lyon, France
| | - Martine Laville
- Centre de Recherche en Nutrition Humaine Rhône-Alpes (CRNH-RA), Centre Hospitalier Lyon Sud, Pierre-Bénite, Lyon, France.,Institut National de la Santé et de la Recherche Médicale Unit 1060, CarMeN Laboratory, Lyon 1 University, Oullins, France
| | - Hélène Ratiney
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69621, Lyon, France
| | - Olivier Beuf
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69621, Lyon, France
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13
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Zhang YN, Fowler KJ, Hamilton G, Cui JY, Sy EZ, Balanay M, Hooker JC, Szeverenyi N, Sirlin CB. Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging. Br J Radiol 2018; 91:20170959. [PMID: 29722568 PMCID: PMC6223150 DOI: 10.1259/bjr.20170959] [Citation(s) in RCA: 147] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Hepatic steatosis is a frequently encountered imaging finding that may indicate chronic liver disease, the most common of which is non-alcoholic fatty liver disease. Non-alcoholic fatty liver disease is implicated in the development of systemic diseases and its progressive phenotype, non-alcoholic steatohepatitis, leads to increased liver-specific morbidity and mortality. With the rising obesity epidemic and advent of novel therapeutics aimed at altering metabolism, there is a growing need to quantify and monitor liver steatosis. Imaging methods for assessing steatosis range from simple and qualitative to complex and highly accurate metrics. Ultrasound may be appropriate in some clinical instances as a screening modality to identify the presence of abnormal liver morphology. However, it lacks sufficient specificity and sensitivity to constitute a diagnostic modality for instigating and monitoring therapy. Newer ultrasound techniques such as quantitative ultrasound show promise in turning qualitative assessment of steatosis on conventional ultrasound into quantitative measurements. Conventional unenhanced CT is capable of detecting and quantifying moderate to severe steatosis but is inaccurate at diagnosing mild steatosis and involves the use of radiation. Newer CT techniques, like dual energy CT, show potential in expanding the role of CT in quantifying steatosis. MRI proton-density fat fraction is currently the most accurate and precise imaging biomarker to quantify liver steatosis. As such, proton-density fat fraction is the most appropriate noninvasive end point for steatosis reduction in clinical trials and therapy response assessment.
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Affiliation(s)
- Yingzhen N Zhang
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | - Kathryn J Fowler
- Department of Radiology, Washington University School of Medicine, Washington University, St. Louis, MO, USA
| | - Gavin Hamilton
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | - Jennifer Y Cui
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | - Ethan Z Sy
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | - Michelle Balanay
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | - Jonathan C Hooker
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | - Nikolaus Szeverenyi
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
| | - Claude B Sirlin
- Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA, USA
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14
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Caussy C, Reeder SB, Sirlin CB, Loomba R. Noninvasive, Quantitative Assessment of Liver Fat by MRI-PDFF as an Endpoint in NASH Trials. Hepatology 2018; 68:763-772. [PMID: 29356032 PMCID: PMC6054824 DOI: 10.1002/hep.29797] [Citation(s) in RCA: 278] [Impact Index Per Article: 46.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 07/17/2018] [Accepted: 07/17/2018] [Indexed: 12/12/2022]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is currently the most common cause of chronic liver disease worldwide, and the progressive form of this condition, nonalcoholic steatohepatitis (NASH), has become one of the leading indications for liver transplantation. Despite intensive investigations, there are currently no United States Food and Drug Administration-approved therapies for treating NASH. A major barrier for drug development in NASH is that treatment response assessment continues to require liver biopsy, which is invasive and interpreted subjectively. Therefore, there is a major unmet need for developing noninvasive, objective, and quantitative biomarkers for diagnosis and assessment of treatment response. Emerging data support the use of magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) as a noninvasive, quantitative, and accurate measure of liver fat content to assess treatment response in early-phase NASH trials. In this review, we discuss the role and utility, including potential sample size reduction, of MRI-PDFF as a quantitative and noninvasive imaging-based biomarker in early-phase NASH trials. Nonalcoholic fatty liver disease (NAFLD) is currently the most common cause of chronic liver disease worldwide.() NAFLD can be broadly classified into two categories: nonalcoholic fatty liver, which has a minimal risk of progression to cirrhosis, and nonalcoholic steatohepatitis (NASH), the more progressive form of NAFLD, which has a significantly increased risk of progression to cirrhosis.() Over the past two decades, NASH-related cirrhosis has become the second leading indication for liver transplantation in the United States.() For these reasons, pharmacological therapy for NASH is needed urgently. Despite intensive investigations, there are currently no therapies for treating NASH that have been approved by the United States Food and Drug Administration.().
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Affiliation(s)
- Cyrielle Caussy
- NAFLD Research Center, Department of Medicine, La Jolla, CA,Université Lyon 1, Hospices Civils de Lyon, Lyon, France
| | - Scott B. Reeder
- Department of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine University of Wisconsin-Madison, Madison, WI
| | - Claude B. Sirlin
- Liver Imaging Group, Department of Radiology, University of California at San Diego, La Jolla, CA
| | - Rohit Loomba
- NAFLD Research Center, Department of Medicine, La Jolla, CA,Division of Gastroenterology, Department of Medicine, La Jolla, CA,Division of Epidemiology, Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, CA
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15
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Middleton MS, Van Natta ML, Heba ER, Alazraki A, Trout AT, Masand P, Brunt EM, Kleiner DE, Doo E, Tonascia J, Lavine JE, Shen W, Hamilton G, Schwimmer JB, Sirlin CB. Diagnostic accuracy of magnetic resonance imaging hepatic proton density fat fraction in pediatric nonalcoholic fatty liver disease. Hepatology 2018; 67:858-872. [PMID: 29028128 PMCID: PMC6211296 DOI: 10.1002/hep.29596] [Citation(s) in RCA: 98] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 09/11/2017] [Accepted: 10/12/2017] [Indexed: 12/11/2022]
Abstract
UNLABELLED We assessed the performance of magnetic resonance imaging (MRI) proton density fat fraction (PDFF) in children to stratify hepatic steatosis grade before and after treatment in the Cysteamine Bitartrate Delayed-Release for the Treatment of Nonalcoholic Fatty Liver Disease in Children (CyNCh) trial, using centrally scored histology as reference. Participants had multiecho 1.5 Tesla (T) or 3T MRI on scanners from three manufacturers. Of 169 enrolled children, 110 (65%) and 83 (49%) had MRI and liver biopsy at baseline and at end of treatment (EOT; 52 weeks), respectively. At baseline, 17% (19 of 110), 28% (31 of 110), and 55% (60 of 110) of liver biopsies showed grades 1, 2, and 3 histological steatosis; corresponding PDFF (mean ± SD) values were 10.9 ± 4.1%, 18.4 ± 6.2%, and 25.7 ± 9.7%, respectively. PDFF classified grade 1 versus 2-3 and 1-2 versus 3 steatosis with areas under receiving operator characteristic curves (AUROCs) of 0.87 (95% confidence interval [CI], 0.80, 0.94) and 0.79 (0.70, 0.87), respectively. PDFF cutoffs at 90% specificity were 17.5% for grades 2-3 steatosis and 23.3% for grade 3 steatosis. At EOT, 47% (39 of 83), 41% (34 of 83), and 12% (10 of 83) of biopsies showed improved, unchanged, and worsened steatosis grade, respectively, with corresponding PDFF (mean ± SD) changes of -7.8 ± 6.3%, -1.2 ± 7.8%, and 4.9 ± 5.0%, respectively. PDFF change classified steatosis grade improvement and worsening with AUROCs (95% CIs) of 0.76 (0.66, 0.87) and 0.83 (0.73, 0.92), respectively. PDFF change cut-off values at 90% specificity were -11.0% and +5.5% for improvement and worsening. CONCLUSION MRI-estimated PDFF has high diagnostic accuracy to both classify and predict histological steatosis grade and change in histological steatosis grade in children with NAFLD. (Hepatology 2018;67:858-872).
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Affiliation(s)
- Michael S. Middleton
- Liver Imaging Group, Department of Radiology, UCSD School of Medicine, San Diego, California
| | - Mark L. Van Natta
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Elhamy R. Heba
- Liver Imaging Group, Department of Radiology, UCSD School of Medicine, San Diego, California
| | - Adina Alazraki
- Emory University School of Medicine, Department of Radiology and Imaging Sciences, Atlanta, Georgia
| | - Andrew T. Trout
- Cincinnati Children’s Hospital, Department of Radiology, Cincinnati, Ohio
| | | | | | | | - Edward Doo
- Liver Diseases Section, Digestive Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases
| | - James Tonascia
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Joel E. Lavine
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Columbia University Medical Center, New York, New York
| | - Wei Shen
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Columbia University Medical Center, New York, New York
| | - Gavin Hamilton
- Liver Imaging Group, Department of Radiology, UCSD School of Medicine, San Diego, California
| | - Jeffrey B. Schwimmer
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California; and Department of Gastroenterology, Rady Children’s Hospital, San Diego, California
| | - Claude B. Sirlin
- Liver Imaging Group, Department of Radiology, UCSD School of Medicine, San Diego, California
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Mamidipalli A, Hamilton G, Manning P, Hong CW, Park CC, Wolfson T, Hooker J, Heba E, Schlein A, Gamst A, Durelle J, Paiz M, Middleton MS, Schwimmer JB, Sirlin CB. Cross-sectional correlation between hepatic R2* and proton density fat fraction (PDFF) in children with hepatic steatosis. J Magn Reson Imaging 2018; 47:418-424. [PMID: 28543915 PMCID: PMC5702271 DOI: 10.1002/jmri.25748] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 04/10/2017] [Indexed: 12/28/2022] Open
Abstract
PURPOSE To determine the relationship between hepatic proton density fat fraction (PDFF) and R2* in vivo. MATERIALS AND METHODS In this Health Insurance Portability and Accountability Act (HIPAA)-compliant, Institutional Review Board (IRB)-approved, cross-sectional study, we conducted a secondary analysis of 3T magnetic resonance imaging (MRI) exams performed as part of prospective research studies in children in whom conditions associated with iron overload were excluded clinically. Each exam included low-flip-angle, multiecho magnitude (-M) and complex (-C) based chemical-shift-encoded MRI techniques with spectral modeling of fat to generate hepatic PDFF and R2* parametric maps. For each technique and each patient, regions of interest were placed on the maps in each of the nine Couinaud segments, and composite whole-liver PDFF and R2* values were calculated. Pearson's correlation coefficients between PDFF and R2* were computed for each MRI technique. Correlations were compared using Steiger's test. RESULTS In all, 184 children (123 boys, 61 girls) were included in this analysis. PDFF estimated by MRI-M and MRI-C ranged from 1.1-35.4% (9.44 ± 8.76) and 2.1-38.1% (10.1 ± 8.7), respectively. R2* estimated by MRI-M and MRI-C ranged from 32.6-78.7 s-1 (48.4 ± 9.8) and 27.2-71.5 s-1 (42.2 ± 8.6), respectively. There were strong and significant correlations between hepatic PDFF and R2* values estimated by MRI-M (r = 0.874; P < 0.0001) and MRI-C (r = 0.853; P < 0.0001). The correlation coefficients (0.874 vs. 0.853) were not significantly different (P = 0.15). CONCLUSION Hepatic PDFF and R2* are strongly correlated with each other in vivo. This relationship was observed using two different MRI techniques. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:418-424.
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Affiliation(s)
- Adrija Mamidipalli
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
| | - Gavin Hamilton
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
| | - Paul Manning
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
| | - Cheng William Hong
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
| | - Charlie C. Park
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California – San Diego, San Diego, California, USA
| | - Jonathan Hooker
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
| | - Elhamy Heba
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
| | - Alexandra Schlein
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
| | - Anthony Gamst
- Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California – San Diego, San Diego, California, USA
| | - Janis Durelle
- Department of Gastroenterology, Rady Children’s Hospital San Diego, San Diego, California
| | - Melissa Paiz
- Department of Gastroenterology, Rady Children’s Hospital San Diego, San Diego, California
| | - Michael S. Middleton
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
| | - Jeffrey B. Schwimmer
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California - San Diego, San Diego, California
- Department of Gastroenterology, Rady Children’s Hospital San Diego, San Diego, California
| | - Claude B. Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego, California, USA
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Yokoo T, Serai SD, Pirasteh A, Bashir MR, Hamilton G, Hernando D, Hu HH, Hetterich H, Kühn JP, Kukuk GM, Loomba R, Middleton MS, Obuchowski NA, Song JS, Tang A, Wu X, Reeder SB, Sirlin CB. Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis. Radiology 2018; 286:486-498. [PMID: 28892458 PMCID: PMC5813433 DOI: 10.1148/radiol.2017170550] [Citation(s) in RCA: 210] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Purpose To determine the linearity, bias, and precision of hepatic proton density fat fraction (PDFF) measurements by using magnetic resonance (MR) imaging across different field strengths, imager manufacturers, and reconstruction methods. Materials and Methods This meta-analysis was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A systematic literature search identified studies that evaluated the linearity and/or bias of hepatic PDFF measurements by using MR imaging (hereafter, MR imaging-PDFF) against PDFF measurements by using colocalized MR spectroscopy (hereafter, MR spectroscopy-PDFF) or the precision of MR imaging-PDFF. The quality of each study was evaluated by using the Quality Assessment of Studies of Diagnostic Accuracy 2 tool. De-identified original data sets from the selected studies were pooled. Linearity was evaluated by using linear regression between MR imaging-PDFF and MR spectroscopy-PDFF measurements. Bias, defined as the mean difference between MR imaging-PDFF and MR spectroscopy-PDFF measurements, was evaluated by using Bland-Altman analysis. Precision, defined as the agreement between repeated MR imaging-PDFF measurements, was evaluated by using a linear mixed-effects model, with field strength, imager manufacturer, reconstruction method, and region of interest as random effects. Results Twenty-three studies (1679 participants) were selected for linearity and bias analyses and 11 studies (425 participants) were selected for precision analyses. MR imaging-PDFF was linear with MR spectroscopy-PDFF (R2 = 0.96). Regression slope (0.97; P < .001) and mean Bland-Altman bias (-0.13%; 95% limits of agreement: -3.95%, 3.40%) indicated minimal underestimation by using MR imaging-PDFF. MR imaging-PDFF was precise at the region-of-interest level, with repeatability and reproducibility coefficients of 2.99% and 4.12%, respectively. Field strength, imager manufacturer, and reconstruction method each had minimal effects on reproducibility. Conclusion MR imaging-PDFF has excellent linearity, bias, and precision across different field strengths, imager manufacturers, and reconstruction methods. © RSNA, 2017 Online supplemental material is available for this article. An earlier incorrect version of this article appeared online. This article was corrected on October 2, 2017.
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Haufe WM, Wolfson T, Hooker CA, Hooker JC, Covarrubias Y, Schlein AN, Hamilton G, Middleton MS, Angeles JE, Hernando D, Reeder SB, Schwimmer JB, Sirlin CB. Accuracy of PDFF estimation by magnitude-based and complex-based MRI in children with MR spectroscopy as a reference. J Magn Reson Imaging 2017; 46:1641-1647. [PMID: 28323377 PMCID: PMC5608618 DOI: 10.1002/jmri.25699] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 02/21/2017] [Indexed: 11/08/2022] Open
Abstract
PURPOSE To assess and compare the accuracy of magnitude-based magnetic resonance imaging (MRI-M) and complex-based MRI (MRI-C) for estimating hepatic proton density fat fraction (PDFF) in children, using MR spectroscopy (MRS) as the reference standard. A secondary aim was to assess the agreement between MRI-M and MRI-C. MATERIALS AND METHODS This was a HIPAA-compliant, retrospective analysis of data collected in children enrolled in prospective, Institutional Review Board (IRB)-approved studies between 2012 and 2014. Informed consent was obtained from 200 children (ages 8-19 years) who subsequently underwent 3T MR exams that included MRI-M, MRI-C, and T1 -independent, T2 -corrected, single-voxel stimulated echo acquisition mode (STEAM) MRS. Both MRI methods acquired six echoes at low flip angles. T2*-corrected PDFF parametric maps were generated. PDFF values were recorded from regions of interest (ROIs) drawn on the maps in each of the nine Couinaud segments and three ROIs colocalized to the MRS voxel location. Regression analyses assessing agreement with MRS were performed to evaluate the accuracy of each MRI method, and Bland-Altman and intraclass correlation coefficient (ICC) analyses were performed to assess agreement between the MRI methods. RESULTS MRI-M and MRI-C PDFF were accurate relative to the colocalized MRS reference standard, with regression intercepts of 0.63% and -0.07%, slopes of 0.998 and 0.975, and proportion-of-explained-variance values (R2 ) of 0.982 and 0.979, respectively. For individual Couinaud segments and for the whole liver averages, Bland-Altman biases between MRI-M and MRI-C were small (ranging from 0.04 to 1.11%) and ICCs were high (≥0.978). CONCLUSION Both MRI-M and MRI-C accurately estimated hepatic PDFF in children, and high intermethod agreement was observed. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1641-1647.
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Affiliation(s)
- William M Haufe
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, California, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California - San Diego, San Diego, California, USA
| | - Catherine A Hooker
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, California, USA
| | - Jonathan C Hooker
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, California, USA
| | - Yesenia Covarrubias
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, California, USA
| | - Alex N Schlein
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, California, USA
| | - Gavin Hamilton
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, California, USA
| | - Michael S Middleton
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, California, USA
| | - Jorge E Angeles
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California - San Diego, San Diego, California, USA
| | - Diego Hernando
- Department of Radiology, University of Wisconsin - Madison, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin - Madison, Madison, Wisconsin, USA
- Department of Biomedical Engineering, University of Wisconsin - Madison, Madison, Wisconsin, USA
| | - Scott B Reeder
- Department of Radiology, University of Wisconsin - Madison, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin - Madison, Madison, Wisconsin, USA
- Department of Biomedical Engineering, University of Wisconsin - Madison, Madison, Wisconsin, USA
- Department of Medicine, University of Wisconsin - Madison, Madison, Wisconsin, USA
- Department of Emergency Medicine, University of Wisconsin - Madison, Madison, Wisconsin, USA
| | - Jeffrey B Schwimmer
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California - San Diego, San Diego, California, USA
- Department of Gastroenterology, Rady Children's Hospital San Diego, San Diego, California, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California - San Diego, San Diego, California, USA
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Association between supraclavicular brown adipose tissue composition at birth and adiposity gain from birth to 6 months of age. Pediatr Res 2017; 82:1017-1021. [PMID: 28723888 PMCID: PMC5685919 DOI: 10.1038/pr.2017.159] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 06/26/2017] [Indexed: 12/11/2022]
Abstract
BackgroundBrown adipose tissue (BAT) is associated with higher energy expenditure and lower adiposity in adults. However, the relationship between BAT composition and adiposity in early life is unknown. The objective of this study was to test the hypothesis that brown fat composition at birth is prospectively associated with adiposity gain during the first 6 months of postnatal life.MethodsN=35 healthy infants were followed up prospectively from intrauterine life and birth through 6 months of age. Dixon magnetic resonance imaging (MRI) scans were conducted during the neonatal period to characterize supraclavicular BAT composition. Dual-energy X-ray absorptiometry to assess total body composition was performed within the first and sixth months of life.ResultsAfter adjusting for potential confounding factors, a more brown-like composition (smaller fat fraction) of the supraclavicular BAT depot was associated with a smaller increase in percent body fat over the first 6 months of postnatal life.ConclusionsA more brown-like BAT composition at birth appears to be protective against excess adiposity gain in early life. Newborn BAT tissue may constitute a target for prevention strategies against the subsequent development of obesity.
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Kühn JP, Meffert P, Heske C, Kromrey ML, Schmidt CO, Mensel B, Völzke H, Lerch MM, Hernando D, Mayerle J, Reeder SB. Prevalence of Fatty Liver Disease and Hepatic Iron Overload in a Northeastern German Population by Using Quantitative MR Imaging. Radiology 2017; 284:706-716. [PMID: 28481195 DOI: 10.1148/radiol.2017161228] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Purpose To quantify liver fat and liver iron content by measurement of confounder-corrected proton density fat fraction (PDFF) and R2* and to identify clinical associations for fatty liver disease and liver iron overload and their prevalence in a large-scale population-based study. Materials and Methods From 2008 to 2013, 2561 white participants (1336 women; median age, 52 years; 25th and 75th quartiles, 42 and 62 years) were prospectively recruited to the Study of Health in Pomerania (SHIP). Complex chemical shift-encoded magnetic resonance (MR) examination of the liver was performed, from which PDFF and R2* were assessed. On the basis of previous histopathologic calibration, participants were stratified according to their liver fat and iron content as follows: none (PDFF, ≤5.1%; R2*, ≤41.0 sec-1), mild (PDFF, >5.1%; R2*, >41 sec-1), moderate (PDFF, >14.1%; R2*, >62.5 sec-1), high (PDFF: >28.0%; R2*: >70.1 sec-1). Prevalence of fatty liver diseases and iron overload was calculated (weighted by probability of participation). Clinical associations were identified by using boosting for generalized linear models. Results Median PDFF was 3.9% (range, 0.6%-41.5%). Prevalence of fatty liver diseases was 42.2% (1082 of 2561 participants); mild, 28.5% (730 participants); moderate, 12.0% (307 participants); high content, 1.8% (45 participants). Median R2* was 34.4 sec-1 (range, 14.0-311.8 sec-1). Iron overload was observed in 17.4% (447 of 2561 participants; mild, 14.7% [376 participants]; moderate, 0.8% [20 participants]; high content, 2.0% [50 participants]). Liver fat content correlated with waist-to-height ratio, alanine transaminase, uric acid, serum triglycerides, and blood pressure. Liver iron content correlated with mean serum corpuscular hemoglobin, male sex, and age. Conclusion In a white German population, the prevalence of fatty liver diseases and liver iron overload is 42.2% (1082 of 2561) and 17.4% (447 of 2561). Whereas liver fat is associated with predictors related to the metabolic syndrome, liver iron content is mainly associated with mean serum corpuscular hemoglobin. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Jens-Peter Kühn
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
| | - Peter Meffert
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
| | - Christian Heske
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
| | - Marie-Luise Kromrey
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
| | - Carsten O Schmidt
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
| | - Birger Mensel
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
| | - Henry Völzke
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
| | - Markus M Lerch
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
| | - Diego Hernando
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
| | - Julia Mayerle
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
| | - Scott B Reeder
- From the Institute of Diagnostic Radiology and Neuroradiology (J.P.K., C.H., M.L.K., C.O.S., B.M.), Institute for Community Medicine (P.M., H.V.), and Department of Medicine A, University Medicine (M.M.L., J.M.), Ernst Moritz Arndt University Greifswald, Berthold-Beitz-Platz, 17495 Greifswald, Germany; Department of Radiology, University of Wisconsin, Madison, Wis (D.H., S.B.R.); and Department of Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, Madison, Wis (S.B.R.)
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Yu NY, Wolfson T, Middleton MS, Hamilton G, Gamst A, Angeles JE, Schwimmer JB, Sirlin CB. Bone marrow fat content is correlated with hepatic fat content in paediatric non-alcoholic fatty liver disease. Clin Radiol 2017; 72:425.e9-425.e14. [PMID: 28063601 PMCID: PMC5376517 DOI: 10.1016/j.crad.2016.11.017] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2016] [Revised: 10/03/2016] [Accepted: 11/21/2016] [Indexed: 10/20/2022]
Abstract
AIM To investigate the relationship between bone marrow fat content and hepatic fat content in children with known or suspected non-alcoholic fatty liver disease (NAFLD). MATERIALS AND METHODS This was an institutional review board-approved, Health Insurance Portability and Accountability Act (HIPAA)-compliant, cross-sectional, prospective analysis of data collected between October 2010 to March 2013 in 125 children with known or suspected NAFLD. Written informed consent was obtained for same-day research magnetic resonance imaging (MRI) of the lumbar spine, liver, and abdominal adiposity. Lumbar spine bone marrow proton density fat fraction (PDFF) and hepatic PDFF were estimated using complex-based MRI (C-MRI) techniques and magnitude-based MRI (M-MRI), respectively. Visceral adipose tissue (VAT) and subcutaneous adipose tissue (SCAT) were quantified using high-resolution MRI. All images were acquired by two MRI technologists. Hepatic M-MRI images were analysed by an image analyst; all other images were analysed by a single investigator. The relationship between lumbar spine bone marrow PDFF and hepatic PDFF was assessed with and without adjusting for the presence of covariates using correlation and regression analysis. RESULTS Lumbar spine bone marrow PDFF was positively associated with hepatic PDFF in children with known or suspected NAFLD prior to adjusting for covariates (r=0.33, p=0.0002). Lumbar spine bone marrow PDFF was positively associated with hepatic PDFF in children with known or suspected NAFLD (r=0.24, p=0.0079) after adjusting for age, sex, body mass index z-score, VAT, and SCAT in a multivariable regression analysis. CONCLUSION Bone marrow fat content is positively associated with hepatic fat content in children with known or suspected NAFLD. Further research is needed to confirm these results and understand their clinical and biological implications.
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Affiliation(s)
- N Y Yu
- Liver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - T Wolfson
- Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, USA
| | - M S Middleton
- Liver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - G Hamilton
- Liver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - A Gamst
- Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, USA
| | - J E Angeles
- Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - J B Schwimmer
- Liver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA, USA; Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, USA; Department of Gastroenterology, Rady Children's Hospital San Diego, San Diego, CA, USA
| | - C B Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego School of Medicine, San Diego, CA, USA.
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Park CC, Hamilton G, Desai A, Zand KA, Wolfson T, Hooker JC, Costa E, Heba E, Clark L, Gamst A, Loomba R, Middleton MS, Sirlin CB. Effect of intravenous gadoxetate disodium and flip angle on hepatic proton density fat fraction estimation with six-echo, gradient-recalled-echo, magnitude-based MR imaging at 3T. Abdom Radiol (NY) 2017; 42:1189-1198. [PMID: 28028556 DOI: 10.1007/s00261-016-0992-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE The aim of the study was to determine in patients undergoing gadoxetate disodium (Gx)-enhanced MR exams whether proton density fat fraction (PDFF) estimation accuracy of magnitude-based multi-gradient-echo MRI (MRI-M) could be improved by using high flip angle (FA) on post-contrast images. MATERIALS AND METHODS Thirty-one adults with known or suspected hepatic steatosis undergoing 3T clinical Gx-enhanced liver MRI were enrolled prospectively. MR spectroscopy (MRS), the reference standard, was performed before Gx to measure MRS-PDFF. Low (10°)- and high (50°)-flip angle (FA) MRI-M sequences were acquired before and during the hepatobiliary phase after Gx administration; MRI-PDFF was estimated in the MRS-PDFF voxel location. Linear regression parameters (slope, intercept, average bias, R 2) were calculated for MRS-PDFF as a function of MRI-PDFF for each MRI-M sequence (pre-Gx low-FA, pre-Gx high-FA, post-Gx low-FA, post-Gx high-FA) for all patients and for patients with MRS-PDFF <10%. Regression parameters were compared (Bonferroni-adjusted bootstrap-based tests). RESULTS Three of the four MRI-M sequences (pre-Gx low-FA, post-Gx low-FA, post-Gx high-FA) provided relatively unbiased PDFF estimates overall and in the low-PDFF range, with regression slopes close to 1 and intercepts and biases close to zero. Pre-Gx high-FA MRI overestimated PDFF in proportion to MRS-PDFF, with slopes of 0.72 (overall) and 0.63 (low-PDFF range). Based on regression bias closest to 0, the post-Gx high-FA sequence was the most accurate overall and in the low-PDFF range. This sequence provided statistically significant improvements in at least two regression parameters compared to every other sequence. CONCLUSION In patients undergoing Gx-enhanced MR exams, PDFF estimation accuracy of MRI-M can be improved by using high-FA on post-contrast images.
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Affiliation(s)
- Charlie C Park
- MR3T Bydder Laboratory, Liver Imaging Group, Department of Radiology, University of California, San Diego, 408 Dickinson Street, MC 8226, San Diego, CA, 92103-8226, USA
| | - Gavin Hamilton
- MR3T Bydder Laboratory, Liver Imaging Group, Department of Radiology, University of California, San Diego, 408 Dickinson Street, MC 8226, San Diego, CA, 92103-8226, USA
| | - Ajinkya Desai
- Department of Diagnostic and Interventional Radiology, Rochester General Hospital, Rochester, NY, USA
| | - Kevin A Zand
- MR3T Bydder Laboratory, Liver Imaging Group, Department of Radiology, University of California, San Diego, 408 Dickinson Street, MC 8226, San Diego, CA, 92103-8226, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputer Center (SDSC), University of California, San Diego, La Jolla, CA, USA
| | - Jonathan C Hooker
- MR3T Bydder Laboratory, Liver Imaging Group, Department of Radiology, University of California, San Diego, 408 Dickinson Street, MC 8226, San Diego, CA, 92103-8226, USA
| | - Eduardo Costa
- MR3T Bydder Laboratory, Liver Imaging Group, Department of Radiology, University of California, San Diego, 408 Dickinson Street, MC 8226, San Diego, CA, 92103-8226, USA
| | - Elhamy Heba
- MR3T Bydder Laboratory, Liver Imaging Group, Department of Radiology, University of California, San Diego, 408 Dickinson Street, MC 8226, San Diego, CA, 92103-8226, USA
| | - Lisa Clark
- MR3T Bydder Laboratory, Liver Imaging Group, Department of Radiology, University of California, San Diego, 408 Dickinson Street, MC 8226, San Diego, CA, 92103-8226, USA
| | - Anthony Gamst
- Computational and Applied Statistics Laboratory (CASL), San Diego Supercomputer Center (SDSC), University of California, San Diego, La Jolla, CA, USA
| | - Rohit Loomba
- Division of Gastroenterology, Department of Medicine, University of California, San Diego, La Jolla, CA, USA
- Division of Epidemiology, Department of Family Medicine and Preventive Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Michael S Middleton
- MR3T Bydder Laboratory, Liver Imaging Group, Department of Radiology, University of California, San Diego, 408 Dickinson Street, MC 8226, San Diego, CA, 92103-8226, USA
| | - Claude B Sirlin
- MR3T Bydder Laboratory, Liver Imaging Group, Department of Radiology, University of California, San Diego, 408 Dickinson Street, MC 8226, San Diego, CA, 92103-8226, USA.
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23
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Abstract
Conventional imaging modalities, including ultrasonography (US), computed tomography (CT), and magnetic resonance (MR), play an important role in the diagnosis and management of patients with nonalcoholic fatty liver disease (NAFLD) by allowing noninvasive diagnosis of hepatic steatosis. However, conventional imaging modalities are limited as biomarkers of NAFLD for various reasons. Multi-parametric quantitative MRI techniques overcome many of the shortcomings of conventional imaging and allow comprehensive and objective evaluation of NAFLD. MRI can provide unconfounded biomarkers of hepatic fat, iron, and fibrosis in a single examination-a virtual biopsy has become a clinical reality. In this article, we will review the utility and limitation of conventional US, CT, and MR imaging for the diagnosis NAFLD. Recent advances in imaging biomarkers of NAFLD are also discussed with an emphasis in multi-parametric quantitative MRI.
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Affiliation(s)
- Sonja Kinner
- Department of Radiology, University of Wisconsin, Madison, WI, USA
- Department of Diagnostic and Interventional Radiology, University Hospital Essen, Essen, Germany
| | - Scott B Reeder
- Department of Radiology, Medical Physics, Biomedical Engineering, Medicine, Emergency Medicine, University of Wisconsin, Madison, WI, USA
| | - Takeshi Yokoo
- Department of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, 2201 Inwood Road, NE2.210B, Dallas, TX, 75390-9085, USA.
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