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Yin Z, Murphy MC, Li J, Glaser KJ, Mauer AS, Mounajjed T, Therneau TM, Liu H, Malhi H, Manduca A, Ehman RL, Yin M. Prediction of nonalcoholic fatty liver disease (NAFLD) activity score (NAS) with multiparametric hepatic magnetic resonance imaging and elastography. Eur Radiol 2019; 29:5823-5831. [PMID: 30887196 DOI: 10.1007/s00330-019-06076-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 01/17/2019] [Accepted: 02/06/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To investigate the use of MR elastography (MRE)-derived mechanical properties (shear stiffness (|G*|) and loss modulus (G″)) and MRI-derived fat fraction (FF) to predict the nonalcoholic fatty liver disease (NAFLD) activity score (NAS) in a NAFLD mouse model. METHODS Eighty-nine male mice were studied, including 64 training and 25 independent testing animals. An MRI/MRE exam and histologic evaluation were performed. Pairwise, nonparametric comparisons and multivariate analyses were used to evaluate the relationships between the three imaging parameters (FF, |G*|, and G″) and histologic features. A virtual NAS score (vNAS) was generated by combining three imaging parameters with an ordinal logistic model (OLM) and a generalized linear model (GLM). The prediction accuracy was evaluated by ROC analyses. RESULTS The combination of FF, |G*|, and G″ predicted NAS > 1 with excellent accuracy in both training and testing sets (AUROC > 0.84). OLM and GLM predictive models misclassified 3/54 and 6/54 mice in the training, and 1/25 and 1/25 in the testing cohort respectively, in distinguishing between "not-NASH" and "definite-NASH." "Borderline-NASH" prediction was poorer in the training set, and no borderline-NASH mice were available in the testing set. CONCLUSION This preliminary study shows that multiparametric MRI/MRE can be used to accurately predict the NAS score in a NAFLD animal model, representing a promising alternative to liver biopsy for assessing NASH severity and treatment response. KEY POINTS • MRE-derived liver stiffness and loss modulus and MRI-assessed fat fraction can be used to predict NAFLD activity score (NAS) in our preclinical mouse model (AUROC > 0.84 for all NAS levels greater than 1). • The overall agreement between the histological-determined NASH diagnosis and the imaging-predicted NASH diagnosis is 80-92%. • The multiparametric hepatic MRI/MRE has great potential for noninvasively assessing liver disease severity and treatment efficacy.
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Affiliation(s)
- Ziying Yin
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Matthew C Murphy
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Jiahui Li
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Kevin J Glaser
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Amy S Mauer
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | | | - Terry M Therneau
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Heshan Liu
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Harmeet Malhi
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Armando Manduca
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.,Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - Richard L Ehman
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Meng Yin
- Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
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Rowles JL, Han A, Miller RJ, Kelly JR, Applegate CC, Wallig MA, O'Brien WD, Erdman JW. Low fat but not soy protein isolate was an effective intervention to reduce nonalcoholic fatty liver disease progression in C57BL/6J mice: monitored by a novel quantitative ultrasound (QUS) method. Nutr Res 2019; 63:95-105. [PMID: 30824402 DOI: 10.1016/j.nutres.2018.12.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 11/15/2018] [Accepted: 12/04/2018] [Indexed: 10/27/2022]
Abstract
Untreated nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) lead to irreversible liver damage. We hypothesized that a low-fat diet (LFD) or a high-fat diet (HFD) with soy protein isolate (SPI) would be an effective intervention to halt or reverse NAFLD progression. To test these hypotheses, we conducted 2 studies. In the first study, we fed an HFD to 7-week-old C57BL/6J mice to induce NAFLD compared to an LFD (control). Hepatic steatosis was monitored by quantitative ultrasound (QUS) scans (in vivo and ex vivo). Animals were euthanized after 0, 2, 4, and 6 weeks of feeding. In the second study, 7-week-old mice were randomized onto an LFD or HFD with SPI intervention after 4 weeks of feeding HFD. Animals from each group were scanned with QUS and euthanized after 4, 9, and 12 weeks of feeding. Animals fed the HFD developed NAFLD (100%) and NASH (80%) characterized by increased liver weight, lipid accumulation, and histological scores for inflammation by 4 weeks in the first study. In the second study, the LFD ameliorated this NAFLD phenotype after 5 weeks of feeding; however, the SPI intervention failed to significantly attenuate NAFLD. QUS parameters were significantly increased with the HFDs (P < .05) and steatosis grade (P < .05) and were positively correlated with hepatic lipid concentrations. In conclusion, dietary modification may be effective at reversing NAFLD and NASH at early stages. Furthermore, QUS may become a valuable tool to track hepatic steatosis. Additional studies are needed to further evaluate the effectiveness of these interventions.
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Affiliation(s)
- Joe L Rowles
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign
| | - Aiguo Han
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
| | - Rita J Miller
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
| | - Jamie R Kelly
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
| | | | - Matthew A Wallig
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign; Department of Pathobiology, University of Illinois at Urbana-Champaign
| | - William D O'Brien
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign
| | - John W Erdman
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign; Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign.
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103
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Inter-platform reproducibility of ultrasonic attenuation and backscatter coefficients in assessing NAFLD. Eur Radiol 2019; 29:4699-4708. [PMID: 30783789 DOI: 10.1007/s00330-019-06035-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Revised: 12/24/2018] [Accepted: 01/22/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To assess inter-platform reproducibility of ultrasonic attenuation coefficient (AC) and backscatter coefficient (BSC) estimates in adults with known/suspected nonalcoholic fatty liver disease (NAFLD). METHODS This HIPAA-compliant prospective study was approved by an institutional review board; informed consent was obtained. Participants with known/suspected NAFLD were recruited and underwent same-day liver examinations with clinical ultrasound scanner platforms from two manufacturers. Each participant was scanned by the same trained sonographer who performed multiple data acquisitions in the right liver lobe using a lateral intercostal approach. Each data acquisition recorded a B-mode image and the underlying radio frequency (RF) data. AC and BSC were calculated using the reference phantom method. Inter-platform reproducibility was evaluated for AC and log-transformed BSC (logBSC = 10log10BSC) by intraclass correlation coefficient (ICC), Pearson's correlation, Bland-Altman analysis with computation of limits of agreement (LOAs), and within-subject coefficient of variation (wCV; applicable to AC). RESULTS Sixty-four participants were enrolled. Mean AC values measured using the two platforms were 0.90 ± 0.13 and 0.94 ± 0.15 dB/cm/MHz while mean logBSC values were - 30.6 ± 5.0 and - 27.9 ± 5.6 dB, respectively. Inter-platform ICC was 0.77 for AC and 0.70 for log-transformed BSC in terms of absolute agreement. Pearson's correlation coefficient was 0.81 for AC and 0.80 for logBSC. Ninety-five percent LOAs were - 0.21 to 0.13 dB/cm/MHz for AC, and - 9.48 to 3.98 dB for logBSC. The wCV was 7% for AC. CONCLUSIONS Hepatic AC and BSC are reproducible across two different ultrasound platforms in adults with known or suspected NAFLD. KEY POINTS • Ultrasonic attenuation coefficient and backscatter coefficient are reproducible between two different ultrasound platforms in adults with NAFLD. • This inter-platform reproducibility may qualify quantitative ultrasound biomarkers for generalized clinical application in patients with suspected/known NAFLD.
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104
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Hong CW, Marsh A, Wolfson T, Paige J, Dekhordy SF, Schlein AN, Housman E, Deiranieh LH, Li CQ, Wasnik AP, Jang HJ, Dietrich CF, Piscaglia F, Casola G, O'Boyle M, Richman KM, Valasek MA, Andre M, Loomba R, Sirlin CB. Reader agreement and accuracy of ultrasound features for hepatic steatosis. Abdom Radiol (NY) 2019; 44:54-64. [PMID: 29951900 PMCID: PMC6310678 DOI: 10.1007/s00261-018-1683-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
PURPOSE The purpose of the study is to assess the reader agreement and accuracy of eight ultrasound imaging features for classifying hepatic steatosis in adults with known or suspected hepatic steatosis. METHODS This was an IRB-approved, HIPAA-compliant prospective study of adult patients with known or suspected hepatic steatosis. All patients signed written informed consent. Ultrasound images (Siemens S3000, 6C1HD, and 4C1 transducers) were acquired by experienced sonographers following a standard protocol. Eight readers independently graded eight features and their overall impression of hepatic steatosis on ordinal scales using an electronic case report form. Duplicated images from the 6C1HD transducer were read twice to assess intra-reader agreement. Intra-reader, inter-transducer, and inter-reader agreement were assessed using intraclass correlation coefficients (ICC). Features with the highest intra-reader agreement were selected as predictors for dichotomized histological steatosis using Classification and Regression Tree (CART) analysis, and the accuracy of the decision rule was compared to the accuracy of the radiologists' overall impression. RESULTS 45 patients (18 males, 27 females; mean age 56 ± 12 years) scanned from September 2015 to July 2016 were included. Mean intra-reader ICCs ranged from 0.430 to 0.777, inter-transducer ICCs ranged from 0.228 to 0.640, and inter-reader ICCs ranged from 0.014 to 0.561. The CART decision rule selected only large hepatic vein blurring and achieved similar accuracy to the overall impression (74% to 75% and 68% to 72%, respectively). CONCLUSIONS Large hepatic vein blurring, liver-kidney contrast, and overall impression provided the highest reader agreement. Large hepatic vein blurring may provide the highest classification accuracy for dichotomized grading of hepatic steatosis.
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Affiliation(s)
- Cheng William Hong
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA
| | - Austin Marsh
- School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory, University of California San Diego, La Jolla, CA, USA
| | - Jeremy Paige
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Soudabeh Fazeli Dekhordy
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA
| | - Alexandra N Schlein
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA
| | - Elise Housman
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA
| | - Lisa H Deiranieh
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA
| | - Charles Q Li
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA
| | - Ashish P Wasnik
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Hyun-Jung Jang
- Department of Radiology, University of Toronto, Toronto, ON, Canada
| | - Christoph F Dietrich
- Department of Internal Medicine 2, Caritas-Krankenhaus Bad Mergentheim, Bad Mergentheim, Germany
| | - Fabio Piscaglia
- Department of Internal Medicine, Università di Bologna, Bologna, Italy
| | - Giovanna Casola
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA
| | - Mary O'Boyle
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA
| | - Katherine M Richman
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA
| | - Mark A Valasek
- Department of Pathology, University of California San Diego, La Jolla, CA, USA
| | - Michael Andre
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Claude B Sirlin
- Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA.
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Tang A, Destrempes F, Kazemirad S, Garcia-Duitama J, Nguyen BN, Cloutier G. Quantitative ultrasound and machine learning for assessment of steatohepatitis in a rat model. Eur Radiol 2018; 29:2175-2184. [PMID: 30560362 DOI: 10.1007/s00330-018-5915-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 10/29/2018] [Accepted: 11/23/2018] [Indexed: 12/13/2022]
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Han A, Labyed Y, Sy EZ, Boehringer AS, Andre MP, Erdman JW, Loomba R, Sirlin CB, O'Brien WD. Inter-sonographer reproducibility of quantitative ultrasound outcomes and shear wave speed measured in the right lobe of the liver in adults with known or suspected non-alcoholic fatty liver disease. Eur Radiol 2018; 28:4992-5000. [PMID: 29869170 PMCID: PMC7235946 DOI: 10.1007/s00330-018-5541-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 04/27/2018] [Accepted: 05/14/2018] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To assess inter-sonographer reproducibility of ultrasound attenuation coefficient (AC), backscatter coefficient (BSC) and shear wave speed (SWS) in adults with known/suspected non-alcoholic fatty liver disease (NAFLD). METHODS The institutional review board approved this HIPAA-compliant prospective study; informed consent was obtained. Participants with known/suspected NAFLD were recruited and underwent same-day liver examinations with a clinical scanner. Each participant was scanned by two of the six trained sonographers. Each sonographer performed multiple data acquisitions in the right liver lobe using a lateral intercostal approach. A data acquisition was a single operator button press that recorded a B-mode image, radio-frequency data, and the SWS value. AC and BSC were calculated from the radio-frequency data using the reference phantom method. SWS was calculated automatically using product software. Intraclass correlation coefficient (ICC) and within-subject coefficient of variation (wCV) were calculated for applicable metrics. RESULTS Sixty-one participants were recruited. Inter-sonographer ICC was 0.86 (95% confidence interval: 0.77-0.92) for AC and 0.87 (0.78-0.92) for log-transformed BSC (logBSC = 10log10BSC) using one acquisition per sonographer. ICC was 0.88 (0.80-0.93) for both AC and logBSC averaging 5 acquisitions. ICC for SWS was 0.57 (0.29-0.74) using one acquisition per sonographer, and 0.84 (0.66-0.93) using 10 acquisitions. The wCV was ~7% for AC, and 19-43% for SWS, depending on number of acquisitions. CONCLUSIONS Hepatic AC, BSC and SWS measures on a clinical scanner have good inter-sonographer reproducibility in adults with known or suspected NAFLD. Multiple acquisitions are required for SWS but not AC or BSC to achieve good inter-sonographer reproducibility. KEY POINTS • AC, BSC and SWS measurements are reproducible in adults with NAFLD. • Inter-sonographer reproducibility of SWS measurement improves with more acquisitions being averaged. • Multiple acquisitions are required for SWS but not AC or BSC.
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Affiliation(s)
- Aiguo Han
- Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 306 North Wright Street, Urbana, IL, 61801, USA
| | - Yassin Labyed
- Siemens Healthineers USA, 22010 South East 51st Street, Issaquah, WA, 98029, USA
| | - Ethan Z Sy
- Liver Imaging Group, Department of Radiology, University of California at San Diego, 9452 Medical Center Drive, La Jolla, CA, 92037, USA
| | - Andrew S Boehringer
- Liver Imaging Group, Department of Radiology, University of California at San Diego, 9452 Medical Center Drive, La Jolla, CA, 92037, USA
| | - Michael P Andre
- Department of Radiology, University of California at San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
- San Diego VA Healthcare System, San Diego, CA, USA
| | - John W Erdman
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 South Goodwin Avenue, Urbana, IL, 61801, USA
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology, Department of Medicine, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California at San Diego, 9452 Medical Center Drive, La Jolla, CA, 92037, USA
| | - William D O'Brien
- Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 306 North Wright Street, Urbana, IL, 61801, USA.
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107
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Byra M, Styczynski G, Szmigielski C, Kalinowski P, Michałowski Ł, Paluszkiewicz R, Ziarkiewicz-Wróblewska B, Zieniewicz K, Sobieraj P, Nowicki A. Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images. Int J Comput Assist Radiol Surg 2018; 13:1895-1903. [PMID: 30094778 PMCID: PMC6223753 DOI: 10.1007/s11548-018-1843-2] [Citation(s) in RCA: 126] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Accepted: 07/31/2018] [Indexed: 02/06/2023]
Abstract
PURPOSE The nonalcoholic fatty liver disease is the most common liver abnormality. Up to date, liver biopsy is the reference standard for direct liver steatosis quantification in hepatic tissue samples. In this paper we propose a neural network-based approach for nonalcoholic fatty liver disease assessment in ultrasound. METHODS We used the Inception-ResNet-v2 deep convolutional neural network pre-trained on the ImageNet dataset to extract high-level features in liver B-mode ultrasound image sequences. The steatosis level of each liver was graded by wedge biopsy. The proposed approach was compared with the hepatorenal index technique and the gray-level co-occurrence matrix algorithm. After the feature extraction, we applied the support vector machine algorithm to classify images containing fatty liver. Based on liver biopsy, the fatty liver was defined to have more than 5% of hepatocytes with steatosis. Next, we used the features and the Lasso regression method to assess the steatosis level. RESULTS The area under the receiver operating characteristics curve obtained using the proposed approach was equal to 0.977, being higher than the one obtained with the hepatorenal index method, 0.959, and much higher than in the case of the gray-level co-occurrence matrix algorithm, 0.893. For regression the Spearman correlation coefficients between the steatosis level and the proposed approach, the hepatorenal index and the gray-level co-occurrence matrix algorithm were equal to 0.78, 0.80 and 0.39, respectively. CONCLUSIONS The proposed approach may help the sonographers automatically diagnose the amount of fat in the liver. The presented approach is efficient and in comparison with other methods does not require the sonographers to select the region of interest.
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Affiliation(s)
- Michał Byra
- Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawińskiego 5B, 02-106, Warsaw, Poland.
| | - Grzegorz Styczynski
- Department of Internal Medicine, Hypertension and Vascular Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Cezary Szmigielski
- Department of Internal Medicine, Hypertension and Vascular Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Piotr Kalinowski
- Department of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland
| | - Łukasz Michałowski
- Department of Pathology, Center for Biostructure Research, Medical University of Warsaw, Warsaw, Poland
| | - Rafał Paluszkiewicz
- Department of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland
| | | | - Krzysztof Zieniewicz
- Department of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland
| | - Piotr Sobieraj
- Department of Internal Medicine, Hypertension and Vascular Diseases, Medical University of Warsaw, Warsaw, Poland
| | - Andrzej Nowicki
- Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawińskiego 5B, 02-106, Warsaw, Poland
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Ozturk A, Grajo JR, Gee MS, Benjamin A, Zubajlo RE, Thomenius KE, Anthony BW, Samir AE, Dhyani M. Quantitative Hepatic Fat Quantification in Non-alcoholic Fatty Liver Disease Using Ultrasound-Based Techniques: A Review of Literature and Their Diagnostic Performance. ULTRASOUND IN MEDICINE & BIOLOGY 2018; 44:2461-2475. [PMID: 30232020 PMCID: PMC6628698 DOI: 10.1016/j.ultrasmedbio.2018.07.019] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 07/17/2018] [Accepted: 07/23/2018] [Indexed: 05/08/2023]
Abstract
Non-alcoholic fatty liver disease is a condition that is characterized by the presence of >5% fat in the liver and affects more than one billion people worldwide. If adequate and early precautions are not taken, non-alcoholic fatty liver disease can progress to cirrhosis and death. The current reference standard for detecting hepatic steatosis is a liver biopsy. However, because of the potential morbidity associated with liver biopsies, non-invasive imaging biomarkers have been extensively investigated. Magnetic resonance imaging-based methods have proven accuracy in quantifying liver steatosis; however, these techniques are costly and have limited availability. Ultrasound-based quantitative imaging techniques are increasingly utilized because of their widespread availability, ease of use and relative cost-effectiveness. Several ultrasound-based liver fat quantification techniques have been investigated, including techniques that measure changes in the acoustic properties of the liver caused by the presence of fat. In this review, we focus on quantitative ultrasound approaches and their diagnostic performance in the realm of non-alcoholic fatty liver disease.
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Affiliation(s)
- Arinc Ozturk
- Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Joseph R Grajo
- Division of Abdominal Imaging, Department of Radiology, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Michael S Gee
- Division of Pediatric Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Alex Benjamin
- Device Realization and Computational Instrumentation Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Rebecca E Zubajlo
- Device Realization and Computational Instrumentation Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Kai E Thomenius
- Device Realization and Computational Instrumentation Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Brian W Anthony
- Device Realization and Computational Instrumentation Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Anthony E Samir
- Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Manish Dhyani
- Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA; (¶) Department of Radiology, Lahey Hospital & Medical Center, Burlington, Massachusetts, USA.
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109
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Tamaki N, Koizumi Y, Hirooka M, Yada N, Takada H, Nakashima O, Kudo M, Hiasa Y, Izumi N. Novel quantitative assessment system of liver steatosis using a newly developed attenuation measurement method. Hepatol Res 2018; 48:821-828. [PMID: 29679473 DOI: 10.1111/hepr.13179] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 03/29/2018] [Accepted: 04/05/2018] [Indexed: 12/16/2022]
Abstract
AIM The present study has developed and evaluated the effectiveness of a new echo attenuation measurement function combined with an ultrasonic diagnostic system for the accurate diagnosis of liver steatosis. METHODS A multicenter prospective study involving patients with chronic hepatitis was carried out. All patients underwent liver biopsy, and attenuation coefficient (ATT) was measured on the same day. The fat area (%) of biopsy specimens was quantitatively evaluated. Correlations between ATT, steatosis grade, and fat area were evaluated. RESULTS A total of 351 patients were enrolled in this study. The median values of fat area for steatosis grades S0, S1, S2, and S3 were 0.6%, 3.2%, 6.4%, and 15.5%, respectively. A significant correlation was found between fat area and steatosis grade (P < 0.001). Similarly, the median values of ATT for steatosis grades S0, S1, S2, and S3 were 0.55, 0.63, 0.69, and 0.85 dB/cm/MHz, respectively, and ATT increased with an increase in the steatosis grade (P < 0.001). Attenuation coefficient was significantly correlated with fat area (r = 0.50, P < 0.001). The area under the receiver operating characteristic curve corresponding to S ≥ 1, S ≥ 2, and S ≥ 3 were 0.79, 0.87, and 0.96, respectively. Similarly, the sensitivity and specificity of S ≥ 1, S ≥ 2, and S ≥ 3 were 72%, 82%, and 87% and 72%, 82%, and 89%, respectively. CONCLUSIONS The newly developed ATT measurement for evaluation of liver steatosis was closely correlated with steatosis grade and automated quantification of fat area, and it provides clinically relevant information.
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Affiliation(s)
- Nobuharu Tamaki
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan
| | - Yohei Koizumi
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Masashi Hirooka
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Norihisa Yada
- Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Hitomi Takada
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan
| | - Osamu Nakashima
- Department of Clinical Laboratory Medicine, Kurume University Hospital, Kurume, Japan
| | - Masatoshi Kudo
- Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Yoichi Hiasa
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Namiki Izumi
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan
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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: 170] [Impact Index Per Article: 24.3] [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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111
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Li Q, Dhyani M, Grajo JR, Sirlin C, Samir AE. Current status of imaging in nonalcoholic fatty liver disease. World J Hepatol 2018; 10:530-542. [PMID: 30190781 PMCID: PMC6120999 DOI: 10.4254/wjh.v10.i8.530] [Citation(s) in RCA: 170] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 06/25/2018] [Accepted: 06/28/2018] [Indexed: 02/06/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common diffuse liver disease, with a worldwide prevalence of 20% to 46%. NAFLD can be subdivided into simple steatosis and nonalcoholic steatohepatitis. Most cases of simple steatosis are non-progressive, whereas nonalcoholic steatohepatitis may result in chronic liver injury and progressive fibrosis in a significant minority. Effective risk stratification and management of NAFLD requires evaluation of hepatic parenchymal fat, fibrosis, and inflammation. Liver biopsy remains the current gold standard; however, non-invasive imaging methods are rapidly evolving and may replace biopsy in some circumstances. These methods include well-established techniques, such as conventional ultrasonography, computed tomography, and magnetic resonance imaging and newer imaging technologies, such as ultrasound elastography, quantitative ultrasound techniques, magnetic resonance elastography, and magnetic resonance-based fat quantitation techniques. The aim of this article is to review the current status of imaging methods for NAFLD risk stratification and management, including their diagnostic accuracy, limitations, and practical applicability.
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Affiliation(s)
- Qian Li
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States
| | - Manish Dhyani
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States
- Department of Radiology, Lahey Hospital and Medical Center, 41 Burlington Mall Road, Burlington, MA 01805, United States
| | - Joseph R Grajo
- Department of Radiology, Division of Abdominal Imaging, University of Florida College of Medicine, Gainesville, FL 32610, United States
| | - Claude Sirlin
- Altman Clinical Translational Research Institute, University of California, San Diego, CA 92103, United States
| | - Anthony E Samir
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States
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112
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Han A, Andre MP, Deiranieh L, Housman E, Erdman JW, Loomba R, Sirlin CB, O’Brien WD. Repeatability and Reproducibility of the Ultrasonic Attenuation Coefficient and Backscatter Coefficient Measured in the Right Lobe of the Liver in Adults With Known or Suspected Nonalcoholic Fatty Liver Disease. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2018; 37:1913-1927. [PMID: 29359454 PMCID: PMC6056350 DOI: 10.1002/jum.14537] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 08/23/2017] [Accepted: 10/22/2017] [Indexed: 05/11/2023]
Abstract
OBJECTIVES To assess the repeatability and reproducibility of the ultrasonic attenuation coefficient (AC) and backscatter coefficient (BSC) measured in the livers of adults with known or suspected nonalcoholic fatty liver disease (NAFLD). METHODS The Institutional Review Board approved this Health Insurance Portability and Accountability Act-compliant prospective study; informed consent was obtained. Forty-one research participants with known or suspected NAFLD were recruited and underwent same-day ultrasound examinations of the right liver lobe with a clinical scanner by a clinical sonographer. Each participant underwent 2 scanning trials, with participant repositioning between trials. Two transducers were used in each trial. For each transducer, machine settings were optimized by the sonographer but then kept constant while 3 data acquisitions were obtained from the liver without participant repositioning and then from an external calibrated phantom. Raw RF echo data were recorded. The AC and BSC were measured within 2.6 to 3.0 MHz from a user-defined hepatic field of interest from each acquisition. The repeatability and reproducibility were analyzed by random-effects models. RESULTS The mean AC and log-transformed BSC (logBSC) were 0.94 dB/cm-MHz and -27.0 dB, respectively. Intraclass correlation coefficients were 0.88 to 0.94 for the AC and 0.87 to 0.95 for the logBSC acquired without participant repositioning. For between-trial repeated scans with participant repositioning, the intraclass correlation coefficients were 0.80 to 0.84 for the AC and 0.69 to 0.82 for the logBSC after averaging results from 3 within-trial images. The variability introduced by the transducer was less than the repeatability error. CONCLUSIONS Hepatic AC and BSC measures using a reference phantom technique on a clinical scanner are repeatable and reproducible between transducers in adults with known or suspected NAFLD.
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Affiliation(s)
- Aiguo Han
- Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL 61801
| | - Michael P. Andre
- Department of Radiology, University of California, San Diego, 9500 Gilman Dr., San Diego, CA 92093, and the San Diego VA Healthcare System, San Diego
| | - Lisa Deiranieh
- Department of Radiology, University of California, San Diego, 9500 Gilman Dr., San Diego, CA 92093, and the San Diego VA Healthcare System, San Diego
| | - Elise Housman
- Department of Radiology, University of California, San Diego, 9500 Gilman Dr., San Diego, CA 92093, and the San Diego VA Healthcare System, San Diego
| | - John W. Erdman
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 South Goodwin Avenue, Urbana, IL 61801
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093
| | - Claude B. Sirlin
- Liver Imaging Group, Department of Radiology, University of California, San Diego, 9452 Medical Center Drive, La Jolla, CA 92037
| | - William D. O’Brien
- Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL 61801
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Quantification of Liver Fat Content With Unenhanced MDCT: Phantom and Clinical Correlation With MRI Proton Density Fat Fraction. AJR Am J Roentgenol 2018; 211:W151-W157. [PMID: 30016142 DOI: 10.2214/ajr.17.19391] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE The purpose of this study was to evaluate the relation between unenhanced CT liver attenuation values and MRI-derived proton density fat fraction (PDFF) for estimation of liver fat content at CT. MATERIALS AND METHODS A CT-MRI phantom was constructed and imaged containing 12 vials with lipid fractions ranging from 0% to 100%. For the retrospective clinical arm, 221 patients (120 men, 101 women; mean age, 54 years) underwent both unenhanced CT and chemical shift-encoded MRI of the liver between 2007 and 2017. Among these patients, 92 had more than one 120-kV CT scan for comparison. CT attenuation and MRI PDFF were derived with coregistered ROI measurements in the right hepatic lobe. The 120-kV subgroup of CT examinations performed within 1 month of MRI PDFF examinations (n = 72) served as the primary cohort for linear correlation. The effects of different tube voltage settings, time intervals between CT and MRI, and iron overload were assessed. Linear least squares regression analysis was performed. RESULTS Phantom results showed excellent linear fit between CT attenuation and MRI PDFF (r2 = 0.986). In patients, 120-kV CT performed within 1 month of MRI PDFF exhibited strong linear correlation (r2 = 0.828) that closely matched the phantom data, yielding the following clinical CT-MRI conversion formula: MRI PDFF (%) = -0.58 × CT attenuation (HU) + 38.2. Correlation worsened for CT-to-MRI intervals longer than 1 month (r2 = 0.565), and this specific relationship did not apply as well to non-120-kV settings (r2 = 0.554). For patients with multiple scans, correlation progressively worsened over time. CT-based liver fat content was underestimated in several patients with iron overload. CONCLUSION The linear correlation between unenhanced CT attenuation and MRI PDFF allows quantification of liver fat content by means of unenhanced CT in clinical practice. As expected, correlation worsened with increasing CT-MRI time interval, variable tube voltage settings, and iron overload.
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Principi M, Iannone A, Losurdo G, Mangia M, Shahini E, Albano F, Rizzi SF, La Fortezza RF, Lovero R, Contaldo A, Barone M, Leandro G, Ierardi E, Di Leo A. Nonalcoholic Fatty Liver Disease in Inflammatory Bowel Disease: Prevalence and Risk Factors. Inflamm Bowel Dis 2018; 24:1589-1596. [PMID: 29688336 DOI: 10.1093/ibd/izy051] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) is common in inflammatory bowel diseases (IBD). Herein, NAFLD prevalence and risk factors in a large IBD cohort were evaluated and compared to that of a non-IBD sample. METHODS Crohn's disease/ulcerative colitis outpatients referred to IBD service of our Gastroenterology Unit were enrolled. Subjects affected by functional and motor gastrointestinal disorders, in whom IBD was ruled out, referred to general outpatient service in the same area, were considered as nonIBD group. Exclusion criteria were based on previous diagnosis of nonNAFLD chronic liver diseases and secondary causes of fat liver overload. Characteristics of IBD and liver status were collected. Risk factors for metabolic syndrome were analyzed. Ultrasonographic presence and degree of steatosis were assessed. Data were examined by univariate and multivariate analyses. RESULTS For this study 465 IBD and 189 non-IBD subjects were consecutively enrolled. NAFLD was found in 28.0% and 20.1% in IBD and non-IBD subjects, respectively (P = 0.04). IBD patients with NAFLD were younger than non-IBD ones. There was no significant difference in steatosis grade and association between NAFLD and IBD behavior, extension, activity, and drugs. In the IBD group, multivariate analysis demonstrated that NAFLD was independently associated to metabolic syndrome (OR=2.24, 95%CI 1.77-28.81), diabetes (OR=1.71, 95%CI 1.43-12.25), fasting blood glucose (OR=1.36, 95%CI 1.13-1.68), and abdominal circumference (OR=1.68, 95%CI 1.15-14.52). CONCLUSIONS NAFLD is more common and occurs at a younger age in IBD than in nonIBD subjects. However, further investigation is required to ascertain possible NAFLD pathogenic IBD-related factors other than conventional/metabolic ones. 10.1093/ibd/izy051_video1izy051.video15774874877001.
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Affiliation(s)
- Mariabeatrice Principi
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Andrea Iannone
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Giuseppe Losurdo
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Michela Mangia
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Endrit Shahini
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Francesca Albano
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Salvatore Fabio Rizzi
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Rosa Federica La Fortezza
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Rosa Lovero
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Antonella Contaldo
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Michele Barone
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Gioacchino Leandro
- National Institute of Gastroenterology, "S De Bellis" Research Hospital, Castellana Grotte, Italy
| | - Enzo Ierardi
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
| | - Alfredo Di Leo
- Section of Gastroenterology, Department of Emergency and Organ Transplantation, AOU Policlinico, University of Bari, Italy
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Comparison of conventional sonographic signs and magnetic resonance imaging proton density fat fraction for assessment of hepatic steatosis. Sci Rep 2018; 8:7759. [PMID: 29773823 PMCID: PMC5958077 DOI: 10.1038/s41598-018-26019-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 04/23/2018] [Indexed: 02/07/2023] Open
Abstract
This study correlated conventional ultrasonography (US) signs with the magnetic resonance imaging (MRI) proton density fat fraction (PDFF) to evaluate the diagnostic performance of US signs (alone or combined) to predict presence and degree of hepatic steatosis (HS). Overall, 182 subjects met the study inclusion criteria between February 2014 and October 2016. Four US signs were evaluated independently by two radiologists. MRI PDFF was defined as the average of 24 non-overlapping regions of interest (ROIs) within eight liver segments obtained by drawing three ROIs within each segment. The latter acted as the reference standard to evaluate diagnostic accuracy of the US signs and their combinations. Diagnostic performance of US for HS was assessed using receiver operating characteristic (ROC) curve analyses. There was a strongly positive correlation between some combinations of US signs and PDFF (σ = 0.780, p < 0.001). The sensitivity, specificity, PPV, and NPV were 96.6%, 74.8%, 64.8%, and 97.9%, respectively, determined using abnormal hepatorenal echoes to detect grade 1 or higher HS (area under the ROC curve = 0.875). The sensitivity and NPV for detecting HS with US were good and US may be considered a suitable screening tool for exclusion of HS.
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Hong CW, Wolfson T, Sy EZ, Schlein AN, Hooker JC, Dehkordy SF, Hamilton G, Reeder SB, Loomba R, Sirlin CB. Optimization of region-of-interest sampling strategies for hepatic MRI proton density fat fraction quantification. J Magn Reson Imaging 2018; 47:988-994. [PMID: 28842937 PMCID: PMC5826828 DOI: 10.1002/jmri.25843] [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: 06/07/2017] [Accepted: 08/07/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Clinical trials utilizing proton density fat fraction (PDFF) as an imaging biomarker for hepatic steatosis have used a laborious region-of-interest (ROI) sampling strategy of placing an ROI in each hepatic segment. PURPOSE To identify a strategy with the fewest ROIs that consistently achieves close agreement with the nine-ROI strategy. STUDY TYPE Retrospective secondary analysis of prospectively acquired clinical research data. POPULATION A total of 391 adults (173 men, 218 women) with known or suspected NAFLD. FIELD STRENGTH/SEQUENCE Confounder-corrected chemical-shift-encoded 3T MRI using a 2D multiecho gradient-recalled echo technique. ASSESSMENT An ROI was placed in each hepatic segment. Mean nine-ROI PDFF and segmental PDFF standard deviation were computed. Segmental and lobar PDFF were compared. PDFF was estimated using every combinatorial subset of ROIs and compared to the nine-ROI average. STATISTICAL TESTING Mean nine-ROI PDFF and segmental PDFF standard deviation were summarized descriptively. Segmental PDFF was compared using a one-way analysis of variance, and lobar PDFF was compared using a paired t-test and a Bland-Altman analysis. The PDFF estimated by every subset of ROIs was informally compared to the nine-ROI average using median intraclass correlation coefficients (ICCs) and Bland-Altman analyses. RESULTS The study population's mean whole-liver PDFF was 10.1 ± 8.9% (range: 1.1-44.1%). Although there was no significant difference in average segmental (P = 0.452) or lobar (P = 0.154) PDFF, left and right lobe PDFF differed by at least 1.5 percentage points in 25.1% (98/391) of patients. Any strategy with ≥4 ROIs had ICC >0.995. 115 of 126 four-ROI strategies (91%) had limits of agreement (LOA) <1.5%, including four-ROI strategies with two ROIs from each lobe, which all had LOA <1.5%. 14/36 (39%) of two-ROI strategies and 74/84 (88%) of three-ROI strategies had ICC >0.995, and 2/36 (6%) of two-ROI strategies and 46/84 (55%) of three-ROI strategies had LOA <1.5%. DATA CONCLUSION Four-ROI sampling strategies with two ROIs in the left and right lobes achieve close agreement with nine-ROI PDFF. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:988-994.
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Affiliation(s)
- Cheng William Hong
- Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Tanya Wolfson
- Computational and Applied Statistics Laboratory, University of California San Diego, San Diego, California, USA
| | - Ethan Z. Sy
- Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Alexandra N. Schlein
- 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
| | - Soudabeh Fazeli Dehkordy
- 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
| | - Scott B. Reeder
- Departments of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin Madison, Madison, Wisconsin, USA
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology, Department of Medicine, University of California 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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Loomba R. Role of imaging-based biomarkers in NAFLD: Recent advances in clinical application and future research directions. J Hepatol 2018; 68:296-304. [PMID: 29203392 PMCID: PMC5810949 DOI: 10.1016/j.jhep.2017.11.028] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 11/26/2017] [Accepted: 11/29/2017] [Indexed: 02/08/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a major public health problem afflicting approximately one billion individuals worldwide. Liver biopsy is considered the gold standard for assessment of liver disease severity in patients with NAFLD. However, it is invasive, has high inter-observer variability, and is associated with adverse effects, including pain, infection and, albeit rarely, death. It is also impractical because of the large number of individuals who have NAFLD. Therefore, tools to non-invasively assess disease severity in NAFLD are urgently needed. Over the last two decades, tremendous advances have been made in the assessment of NAFLD by non-invasive imaging. In this review, we will discuss the different non-invasive imaging modalities available to quantify liver fat and liver fibrosis. We will also discuss the limitations of current modalities to detect the progressive form for NAFLD, termed non-alcoholic steatohepatitis. Finally, we will discuss the comparative efficacy of various imaging-based elastographic modalities for detection of advanced fibrosis or cirrhosis, as well as their diagnostic characteristics.
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Affiliation(s)
- Rohit Loomba
- NAFLD Research Center, Department of Medicine, University of California at San Diego, La Jolla, CA, United States; Division of Gastroenterology, Department of Medicine, University of California at San Diego, La Jolla, CA, United States; Division of Epidemiology, Department of Family and Preventive Medicine, University of California at San Diego, La Jolla, CA, United States.
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Abstract
Nonalcoholic fatty liver disease (NAFLD) is a common liver disorder that can be divided into benign steatosis or nonalcoholic fatty liver (NAFL) and nonalcoholic steatohepatitis (NASH). Elastography and scoring systems based on clinical features and routine biochemical testing can be used to assess fibrosis in patients with NAFLD. Patients with fibrosis are thought to have NASH. However, only a liver biopsy can reliably diagnose NAFLD and differentiate NAFL from NASH. Because medical therapy for NASH is not available, it is not necessary to perform a liver biopsy in all patients. Patients suspected of having NASH should undergo liver biopsy.
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119
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Taibbi A, Picone D, Midiri M, La Grutta L, Bartolotta TV. Diffuse Liver Diseases: Role of imaging. Semin Ultrasound CT MR 2017; 39:193-205. [PMID: 29571555 DOI: 10.1053/j.sult.2017.11.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Nowadays, the most common imaging techniques allow to study focal liver lesions with high diagnostic accuracy but a relatively recent emerging field of interest is represented by diffuse liver disease. They include a variegated series of storage and metabolic pathologies (ie, iron overload disorders and steatosis) requiring a precise diagnosis not always possible at imaging due to the overlapping of findings at conventional ultrasound, CT, or MR studies. In recent years, several imaging tecniques and specific softwares have been developed, especially for ultrasound and MR imaging, in order to identify different parameters useful in the noninvasive recognition and follow-up of these diffuse processes involving the liver. The aim of this article is to describe the most common and useful imaging findings of the most common and uncommon diffuse liver diseases illustrating the newest imaging technologies and developments at our disposal with corresponding advantages, limitations, and pitfalls.
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Affiliation(s)
- Adele Taibbi
- Department of Radiology, University Hospital, Palermo, Italy.
| | - Dario Picone
- Department of Radiology, University Hospital, Palermo, Italy
| | - Massimo Midiri
- Department of Radiology, University Hospital, Palermo, Italy
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Zhou Z, Chen H, Ju H, Sun M. Circulating retinol binding protein 4 levels in nonalcoholic fatty liver disease: a systematic review and meta-analysis. Lipids Health Dis 2017; 16:180. [PMID: 28931435 PMCID: PMC5607593 DOI: 10.1186/s12944-017-0566-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Accepted: 09/07/2017] [Indexed: 01/02/2023] Open
Abstract
Background Retinol binding protein 4 (RBP4) is implicated in obesity, insulin resistance and type 2 diabetes mellitus that are closely associated with nonalcoholic fatty liver disease (NAFLD). However, recent investigations regarding circulating RBP4 levels in NAFLD are conflicting. This meta-analysis is to determine whether NAFLD, non-alcoholic steatohepatitis (NASH) and simple steatosis (SS) patients have altered RBP4 levels. Methods We performed a systematic search in PubMed, EMBASE and The Cochrane Library up until 18 March 2017, and 12 studies comprising a total of 4247 participants (2271 NAFLD patients and 1976 controls) were included in the meta-analysis. Results There were no significant differences of circulating RBP4 levels in the following comparisons: (1) NAFLD patients vs controls (standardized mean differences [SMD]: 0.08; 95% CI: −0.21, 0.38); (2) NASH patients vs controls (SMD: −0.49; 95% CI: −1.09, 0.12); (3) SS patients vs controls (SMD: −0.72; 95% CI: −1.64, 0.20) and (4) NASH vs SS patients (SMD: −0.04; 95% CI: −0.32, 0.24). The results remained essentially unchanged in the comparisons between NAFLD patients and controls after excluding single individual study or bariatric studies (n = 2). No significant publication bias was detected. However, there was significant heterogeneity among studies and the subgroup and meta-regression analyses did not find the potential sources. Conclusions Circulating RBP4 levels may not be associated with NAFLD. Further prospective cohort studies are required to confirm these findings. Electronic supplementary material The online version of this article (10.1186/s12944-017-0566-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Zhongwei Zhou
- Department of Clinical Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, No. 75 Juchang Road, Tinghu, Yancheng, Jiangsu, 224001, People's Republic of China
| | - Hongmei Chen
- Department of Clinical Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, No. 75 Juchang Road, Tinghu, Yancheng, Jiangsu, 224001, People's Republic of China
| | - Huixiang Ju
- Department of Clinical Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, No. 75 Juchang Road, Tinghu, Yancheng, Jiangsu, 224001, People's Republic of China
| | - Mingzhong Sun
- Department of Clinical Laboratory, Affiliated Yancheng Hospital, School of Medicine, Southeast University, No. 75 Juchang Road, Tinghu, Yancheng, Jiangsu, 224001, People's Republic of China.
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