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A. Han, Michal Byra, Elhamy Heba, M. André, J. Erdman, R. Loomba, C. Sirlin, W. O’Brien (2020)
Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks.Radiology
S. Ballestri, F. Nascimbeni, E. Baldelli, Alessandra Marrazzo, D. Romagnoli, G. Targher, A. Lonardo (2017)
Ultrasonographic fatty liver indicator detects mild steatosis and correlates with metabolic/histological parameters in various liver diseases.Metabolism: clinical and experimental, 72
S. Jeon, I. Joo, S. Kim, Jong Jang, Juil Park, H. Park, Eun Lee, J. Lee (2020)
Quantitative ultrasound radiofrequency data analysis for the assessment of hepatic steatosis using the controlled attenuation parameter as a reference standardUltrasonography, 40
M. Eslam, S. Sarin, V. Wong, Jian-Gao Fan, T. Kawaguchi, S. Ahn, M. Zheng, G. Shiha, Y. Yılmaz, R. Gani, Shahinul Alam, Y. Dan, J. Kao, S. Hamid, I. Cua, W. Chan, D. Payawal, S. Tan, T. Tanwandee, L. Adams, Manoj Kumar, M. Omata, J. George (2020)
The Asian Pacific Association for the Study of the Liver clinical practice guidelines for the diagnosis and management of metabolic associated fatty liver diseaseHepatology International, 14
M. Eslam, P. Newsome, Q. Anstee, G. Targher, M. Gómez, S. Zelber-Sagi, V. Wong, J. Dufour, J. Schattenberg, M. Arrese, Luca Valenti, G. Shiha, C. Tiribelli, H. Yki-Järvinen, Jian-Gao Fan, H. Grønbaek, Y. Yılmaz, H. Cortez‐Pinto, C. Oliveira, P. Bedossa, L. Adams, M. Zheng, Y. Fouad, W. Chan, N. Méndez-Sánchez, S. Ahn, L. Castéra, E. Bugianesi, V. Ratziu, J. George (2020)
A new definition for metabolic associated fatty liver disease: an international expert consensus statement.Journal of hepatology
Richard Marshall, M. Eissa, E. Bluth, P. Gulotta, N. Davis (2012)
Hepatorenal index as an accurate, simple, and effective tool in screening for steatosis.AJR. American journal of roentgenology, 199 5
Wen Cao, X. An, L. Cong, Chaoyang Lyu, Qian Zhou, R. Guo (2020)
Application of Deep Learning in Quantitative Analysis of 2‐Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver DiseaseJournal of Ultrasound in Medicine, 39
( 2020 ) Identifying high - risk NASH patients : what we know so far
S. Jeon, J. Lee, I. Joo, Sae-Jin Park (2021)
Quantitative Ultrasound Radiofrequency Data Analysis for the Assessment of Hepatic Steatosis in Nonalcoholic Fatty Liver Disease Using Magnetic Resonance Imaging Proton Density Fat Fraction as the Reference StandardKorean Journal of Radiology, 22
A. Han, Yingzhen Zhang, A. Boehringer, M. André, J. Erdman, R. Loomba, C. Sirlin, W. O’Brien (2019)
Inter-platform reproducibility of ultrasonic attenuation and backscatter coefficients in assessing NAFLDEuropean Radiology
H. Volkmann, R. Havre, E. Løberg, T. Haaland, H. Immervoll, J. Haukeland, T. Hausken, O. Gilja (2013)
Quantitative measurement of ultrasound attenuation and Hepato-Renal Index in Non-Alcoholic Fatty Liver Disease.Medical ultrasonography, 15 1
R. Loomba (2018)
Role of imaging-based biomarkers in NAFLD: Recent advances in clinical application and future research directions.Journal of hepatology, 68 2
A. Chauhan, L. Sultan, E. Furth, L. Jones, V. Khungar, C. Sehgal (2016)
Diagnostic accuracy of hepatorenal index in the detection and grading of hepatic steatosisJournal of Clinical Ultrasound, 44
H. Kramer, P. Pickhardt, M. Kliewer, D. Hernando, Guang-Hong Chen, J. Zagzebski, S. Reeder (2017)
Accuracy of Liver Fat Quantification With Advanced CT, MRI, and Ultrasound Techniques: Prospective Comparison With MR Spectroscopy.AJR. American journal of roentgenology, 208 1
N. Chalasani, Z. Younossi, J. Lavine, M. Charlton, K. Cusi, M. Rinella, S. Harrison, E. Brunt, A. Sanyal (2018)
The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver DiseasesHepatology, 67
F. Ponti, A. Cinque, N. Fazio, A. Napoli, G. Guglielmi, A. Bazzocchi (2020)
Ultrasound imaging, a stethoscope for body composition assessment.Quantitative imaging in medicine and surgery, 10 8
Natthaporn Tanpowpong, Sineenart Panichyawat (2020)
Comparison of sonographic hepatorenal ratio and the degree of hepatic steatosis in magnetic resonance imaging-proton density fat fractionJournal of Ultrasonography, 20
C. Hong, Austin Marsh, T. Wolfson, J. Paige, Soudabeh Dekhordy, Alexandra Schlein, Elise Housman, L. Deiranieh, Charles Li, A. Wasnik, H. Jang, C. Dietrich, F. Piscaglia, G. Casola, M. O'Boyle, K. Richman, M. Valasek, M. André, R. Loomba, C. Sirlin (2018)
Reader agreement and accuracy of ultrasound features for hepatic steatosisAbdominal Radiology, 44
Steve Nelson, J. Hoskins, C. Lisanti, J. Chaudhuri (2020)
Ultrasound Fatty Liver Indicator: A Simple Tool for Differentiating Steatosis From Nonalcoholic Steatohepatitis: Validity in the Average Obese PopulationJournal of Ultrasound in Medicine, 39
G. Ferraioli, Livia Monteiro (2019)
Ultrasound-based techniques for the diagnosis of liver steatosisWorld Journal of Gastroenterology, 25
S. Ballestri, A. Lonardo, D. Romagnoli, L. Carulli, L. Losi, C. Day, P. Loria (2012)
Ultrasonographic fatty liver indicator, a novel score which rules out NASH and is correlated with metabolic parameters in NAFLDLiver International, 32
(2022)
342–350
M. Lupsor-Platon, T. Serban, A. Silion, Alexandru Tirpe, M. Florea (2020)
Hepatocellular Carcinoma and Non-Alcoholic Fatty Liver Disease: A Step Forward for Better Evaluation Using Ultrasound ElastographyCancers, 12
Yingzhen Zhang, Kathryn Fowler, G. Hamilton, Jennifer Cui, Ethan Sy, Michelle Balanay, J. Hooker, N. Szeverenyi, C. Sirlin (2018)
Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging.The British journal of radiology, 91 1089
J. Starekova, S. Reeder (2020)
Liver fat quantification: where do we stand?Abdominal Radiology, 45
M. Ramadan, V. Russo, G. Nigro, E. Durante-Mangoni, R. Zampino (2021)
Interplay between Heart Disease and Metabolic Steatosis: A Contemporary PerspectiveJournal of Clinical Medicine, 10
T. Tada, Takashi Nishimura, Masahiro Yoshida, H. Iijima (2020)
Nonalcoholic fatty liver disease and nonalcoholic steatohepatitis: new trends and role of ultrasonographyJournal of Medical Ultrasonics, 47
D. Jesper, D. Klett, B. Schellhaas, L. Pfeifer, M. Leppkes, M. Waldner, M. Neurath, D. Strobel (2020)
Ultrasound-Based Attenuation Imaging for the Non-Invasive Quantification of Liver Fat - A Pilot Study on Feasibility and Inter-Observer VariabilityIEEE Journal of Translational Engineering in Health and Medicine, 8
A. Ozturk, J. Grajo, M. Gee, Alex Benjamin, R. Zubajlo, K. Thomenius, B. Anthony, A. Samir, M. Dhyani (2018)
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, 44 12
(2018)
The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver DiseasesClinical Liver Disease, 11
J. Bae, D. Lee, Jae Lee, Haeryoung Kim, S. Yu, Jeong‐Hoon Lee, E. Cho, Y. Lee, J. Han, B. Choi (2019)
Assessment of hepatic steatosis by using attenuation imaging: a quantitative, easy-to-perform ultrasound techniqueEuropean Radiology
A. D’Hondt, E. Rubesova, Hua Xie, V. Shamdasani, R. Barth (2021)
Liver Fat Quantification by Ultrasound in Children: A Prospective Study.AJR. American journal of roentgenology
K. Pu, Yuping Wang, Su-Yang Bai, Hui Wei, Yongning Zhou, Jian-Gao Fan, L. Qiao (2019)
Diagnostic accuracy of controlled attenuation parameter (CAP) as a non-invasive test for steatosis in suspected non-alcoholic fatty liver disease: a systematic review and meta-analysisBMC Gastroenterology, 19
M. Schulz, F. Tacke (2020)
Identifying High-Risk NASH Patients: What We Know so FarHepatic Medicine : Evidence and Research, 12
Evgin Göçeri, Z. Shah, R. Layman, Xia Jiang, M. Gürcan (2016)
Quantification of liver fat: A comprehensive reviewComputers in biology and medicine, 71
( 2020 ) Application of deep learning in quantitative analysis of 2 - Dimensional ultrasound imaging of Nonalcoholic fatty liver disease
Tu Chang, Shu-Hung Chang, Ying-Hsiu Lin, W. Ho, Chiao-Yin Wang, W. Jeng, Y. Wan, P. Tsui (2020)
Utility of quantitative ultrasound in community screening for hepatic steatosis.Ultrasonics, 111
Jeongin Yoo, J. Lee, I. Joo, D. Lee, J. Yoon, Hyo-Jin Kang, S. Ahn (2019)
Reproducibility of ultrasound attenuation imaging for the noninvasive evaluation of hepatic steatosisUltrasonography, 39
Mayur Virarkar, J. Szklaruk, C. Jensen, M. Taggart, P. Bhosale (2021)
What's New in Hepatic Steatosis.Seminars in ultrasound, CT, and MR, 42 4
Background and aimsHepato-renal index (HRI) has been investigated extensively in various clinical studies. New linear scale HRI (LS-HRI) is proposed as an alternative to conventional grayscale HRI (GS-HRI) that suffers from lack of a widely accepted cut-off value for differentiation of fatty from normal livers. To investigate the diagnostic performance of conventional GS-HRI and new LS-HRI for a relatively large Chinese population with NAFLD using a well-established ultrasonographic fatty liver indicator (US-FLI) as the reference standard for steatosis grades.Materials and methodsA total of 106 patients with various stages of NAFLD were prospectively enrolled. All ultrasound images for these patients were first acquired by a highly experienced ultrasound doctor and their US-FLI scores then obtained by the same doctor. Both GS-HRI and LS-HRI values were measured off-line by two additional ultrasound doctors. Four steatosis grades were determined from US-FLI scores for steatosis detection and staging.ResultsInter-observer agreements for both GS-HRI and LS-HRI were excellent with the respective concordance correlation coefficient (CCC) of 0.900 for GS-HRI and 0.822 for LS-HRI. A linear correlation to US-FLI for LS-HRI (R = 0.74) was substantially superior to that for GS-HRI (R = 0.46). LS-HRI had a sensitivity of 85.9% and a specificity of 96.3% to differentiate steatosis from the normal liver (AUROC: 95.5%) while GS-HRI had a sensitivity of 85.9% and a specificity of 92.6% to distinguish steatosis from the normal liver (AUROC: 94.7%).ConclusionsBoth GS-HRI and LS-HRI measurements are reproducible between two ultrasonographic clinicians and are evidently effective for steatosis detection.Graphical abstract[graphic not available: see fulltext]
Abdominal Radiology – Springer Journals
Published: Apr 1, 2022
Keywords: Non-alcoholic fatty liver disease (NAFLD); Ultrasonographic fatty liver indicator (US-FLI); Hepato-renal index (HRI); Hepatic steatosis; Ultrasound imaging
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