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Byenfeldt M, Kihlberg J, Nasr P, Grönlund C, Lindam A, Bartholomä WC, Lundberg P, Ekstedt M. Altered probe pressure and body position increase diagnostic accuracy for men and women in detecting hepatic steatosis using quantitative ultrasound. Eur Radiol 2024; 34:5989-5999. [PMID: 38459346 DOI: 10.1007/s00330-024-10655-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/14/2023] [Accepted: 01/16/2024] [Indexed: 03/10/2024]
Abstract
OBJECTIVES To evaluate the diagnostic performance of ultrasound guided attenuation parameter (UGAP) for evaluating liver fat content with different probe forces and body positions, in relation to sex, and compared with proton density fat fraction (PDFF). METHODS We prospectively enrolled a metabolic dysfunction-associated steatotic liver disease (MASLD) cohort that underwent UGAP and PDFF in the autumn of 2022. Mean UGAP values were obtained in supine and 30° left decubitus body position with normal 4 N and increased 30 N probe force. The diagnostic performance was evaluated by the area under the receiver operating characteristic curve (AUC). RESULTS Among 60 individuals (mean age 52.9 years, SD 12.9; 30 men), we found the best diagnostic performance with increased probe force in 30° left decubitus position (AUC 0.90; 95% CI 0.82-0.98) with a cut-off of 0.58 dB/cm/MHz. For men, the best performance was in supine (AUC 0.91; 95% CI 0.81-1.00) with a cut-off of 0.60 dB/cm/MHz, and for women, 30° left decubitus position (AUC 0.93; 95% CI 0.83-1.00), with a cut-off 0.56 dB/cm/MHz, and increased 30 N probe force for both genders. No difference was in the mean UGAP value when altering body position. UGAP showed good to excellent intra-reproducibility (Intra-class correlation 0.872; 95% CI 0.794-0.921). CONCLUSION UGAP provides excellent diagnostic performance to detect liver fat content in metabolic dysfunction-associated steatotic liver diseases, with good to excellent intra-reproducibility. Regardless of sex, the highest diagnostic accuracy is achieved with increased probe force with men in supine and women in 30° left decubitus position, yielding different cut-offs. CLINICAL RELEVANCE STATEMENT The ultrasound method ultrasound-guided attenuation parameter shows excellent diagnostic accuracy and performs with good to excellent reproducibility. There is a possibility to alter body position and increase probe pressure, and different performances for men and women should be considered for the highest accuracy. KEY POINTS • There is a possibility to alter body position when performing the ultrasound method ultrasound-guided attenuation parameter. • Increase probe pressure for the highest accuracy. • Different performances for men and women should be considered.
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Affiliation(s)
- Marie Byenfeldt
- Department of Radiology in Östersund, Östersund, Sweden.
- Department of Radiation Science, Umeå University, Umeå, Sweden.
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
| | - Johan Kihlberg
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
- Department of Radiology in Linköping, Linköping, Sweden
| | - Patrik Nasr
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | | | - Anna Lindam
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Wolf C Bartholomä
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
- Department of Radiology in Linköping, Linköping, Sweden
| | - Peter Lundberg
- Department of Radiation Physics, Linköping University, Linköping, Sweden
- Department of Medical and Health Science in Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
| | - Mattias Ekstedt
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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Gao R, Tsui PH, Li S, Bin G, Tai DI, Wu S, Zhou Z. Ultrasound normalized cumulative residual entropy imaging: Theory, methodology, and application. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 256:108374. [PMID: 39153229 DOI: 10.1016/j.cmpb.2024.108374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 08/09/2024] [Accepted: 08/11/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND AND OBJECTIVE Ultrasound information entropy imaging is an emerging quantitative ultrasound technique for characterizing local tissue scatterer concentrations and arrangements. However, the commonly used ultrasound Shannon entropy imaging based on histogram-derived discrete probability estimation suffers from the drawbacks of histogram settings dependence and unknown estimator performance. In this paper, we introduced the information-theoretic cumulative residual entropy (CRE) defined in a continuous distribution of cumulative distribution functions as a new entropy measure of ultrasound backscatter envelope uncertainty or complexity, and proposed ultrasound CRE imaging for tissue characterization. METHODS We theoretically analyzed the CRE for Rayleigh and Nakagami distributions and proposed a normalized CRE for characterizing scatterer distribution patterns. We proposed a method based on an empirical cumulative distribution function estimator and a trapezoidal numerical integration for estimating the normalized CRE from ultrasound backscatter envelope signals. We presented an ultrasound normalized CRE imaging scheme based on the normalized CRE estimator and the parallel computation technique. We also conducted theoretical analysis of the differential entropy which is an extension of the Shannon entropy to a continuous distribution, and introduced a method for ultrasound differential entropy estimation and imaging. Monte-Carlo simulation experiments were performed to evaluate the estimation accuracy of the normalized CRE and differential entropy estimators. Phantom simulation and clinical experiments were conducted to evaluate the performance of the proposed normalized CRE imaging in characterizing scatterer concentrations and hepatic steatosis (n = 204), respectively. RESULTS The theoretical normalized CRE for the Rayleigh distribution was π/4, corresponding to the case where there were ≥10 randomly distributed scatterers within the resolution cell of an ultrasound transducer. The theoretical normalized CRE for the Nakagami distribution decreased as the Nakagami parameter m increased, corresponding to that the ultrasound backscattered statistics varied from pre-Rayleigh to Rayleigh and to post-Rayleigh distributions. Monte-Carlo simulation experiments showed that the proposed normalized CRE and differential entropy estimators can produce a satisfying estimation accuracy even when the size of the test samples is small. Phantom simulation experiments showed that the proposed normalized CRE and differential entropy imaging can characterize scatterer concentrations. Clinical experiments showed that the proposed ultrasound normalized CRE imaging is capable to quantitatively characterize hepatic steatosis, outperforming ultrasound differential entropy imaging and being comparable to ultrasound Shannon entropy and Nakagami imaging. CONCLUSION This study sheds light on the theory and methodology of ultrasound normalized CRE. The proposed ultrasound normalized CRE can serve as a new, flexible quantitative ultrasound envelope statistics parameter. The proposed ultrasound normalized CRE imaging may find applications in quantified characterization of biological tissues. Our code will be made available publicly at https://github.com/zhouzhuhuang.
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Affiliation(s)
- Ruiyang Gao
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
| | - Po-Hsiang Tsui
- Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Division of Pediatric Gastroenterology, Department of Pediatrics, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan; Liver Research Center, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; Research Center for Radiation Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Sinan Li
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
| | - Guangyu Bin
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
| | - Dar-In Tai
- Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital at Linkou, Chang Gung University, Taoyuan, Taiwan
| | - Shuicai Wu
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China
| | - Zhuhuang Zhou
- Department of Biomedical Engineering, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China.
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Nakamura Y, Hirooka M, Koizumi Y, Yano R, Imai Y, Watanabe T, Yoshida O, Tokumoto Y, Abe M, Hiasa Y. Diagnostic accuracy of ultrasound-derived fat fraction for the detection and quantification of hepatic steatosis in patients with liver biopsy. J Med Ultrason (2001) 2024:10.1007/s10396-024-01472-6. [PMID: 38918301 DOI: 10.1007/s10396-024-01472-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 05/13/2024] [Indexed: 06/27/2024]
Abstract
PURPOSE This retrospective study was conducted to investigate the diagnostic accuracy of ultrasound-derived fat fraction (UDFF) for grading hepatic steatosis using liver histology as the reference standard. METHODS Seventy-three patients with liver disease were assessed using UDFF and liver biopsy. Pearson's test and the Bland-Altman plot were used to assess the correlation between UDFF and histological fat content in liver sections. The UDFF cutoff values for histologically proven steatosis grades were determined using the area under the receiver operating characteristic curve (AUROC). RESULTS The median age of the patients was 66 (interquartile range 54-74) years, and 33 (45%) were females. The UDFF values showed a stepwise increase with increasing steatosis grade (p < .001) and were strongly correlated with the histological fat content (r = .7736, p < .001). The Bland-Altman plot revealed a mean bias of 2.384% (95% limit of agreement, - 6.582 to 11.351%) between them. Univariate regression analysis revealed no significant predictors of divergence. The AUROCs for distinguishing steatosis grades of ≥ 1, ≥2, and 3 were 0.956 (95% confidence interval [CI], 0.910-1.00), 0.926 (95% CI, 0.860-0.993), and 0.971 (95% CI, 0.929-1.000), respectively. The UDFF cutoff value of > 6% had a sensitivity and specificity of 94.8% and 82.3%, respectively, for diagnosing steatosis grade ≥ 1. There was no association between UDFF and the fibrosis stage. CONCLUSION UDFF shows strong agreement with the histological fat content and excellent diagnostic accuracy for grading steatosis. UDFF is a promising tool for detecting and quantifying hepatic steatosis in clinical practice.
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Affiliation(s)
- Yoshiko Nakamura
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, 454 Toon, Ehime, 791-0295, Japan
| | - Masashi Hirooka
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, 454 Toon, Ehime, 791-0295, Japan.
| | - Yohei Koizumi
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, 454 Toon, Ehime, 791-0295, Japan
| | - Ryo Yano
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, 454 Toon, Ehime, 791-0295, Japan
| | - Yusuke Imai
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, 454 Toon, Ehime, 791-0295, Japan
| | - Takao Watanabe
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, 454 Toon, Ehime, 791-0295, Japan
| | - Osamu Yoshida
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, 454 Toon, Ehime, 791-0295, Japan
| | - Yoshio Tokumoto
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, 454 Toon, Ehime, 791-0295, Japan
| | - Masanori Abe
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, 454 Toon, Ehime, 791-0295, Japan
| | - Yoichi Hiasa
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, 454 Toon, Ehime, 791-0295, Japan
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Yin H, Xiong B, Yu J, Fan Y, Zhou B, Sun Y, Wang L, Xu H, Zhu Y. Interoperator reproducibility of quantitative ultrasound analysis of hepatic steatosis in participants with suspected MASLD: A prospective study. Eur J Radiol 2024; 175:111427. [PMID: 38522397 DOI: 10.1016/j.ejrad.2024.111427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 01/11/2024] [Accepted: 03/11/2024] [Indexed: 03/26/2024]
Abstract
OBJECTIVES To evaluate the reproducibility of tissue attenuation imaging (TAI) and tissue scatter distribution imaging (TSI) measurements in adults with suspected metabolic dysfunction-associated steatotic liver disease (MASLD) between radiologists with varying experience. MATERIALS AND METHODS Participants with suspected MASLD were prospectively recruited. TAI and TSI were performed for each participant by two radiologists with different levels of experience. Interoperability reliability was assessed on the basis of Bland-Altman analysis and intraclass correlation coefficients (ICCs). The study determined and compared the diagnostic performance of TAI and TSI with clinical prediction models using proton magnetic resonance spectroscopy (1H-MRS) as a reference. RESULTS A total of 180 participants (women, n = 56; men, n = 124, mean age, 46.98 ± 14.92 years; mean BMI, 25.81 ± 4.47) were enrolled from August 2022 to September 2022. Bland-Altman plots showed only slight deviation in the TAI and TSI results of the two radiologists; there was good interoperator reproducibility for TAI (ICC = 0.92) and TSI (ICC = 0.86). Senior and junior radiologists performed examinations labeled as TAI-1 and TSI-1, and TAI-2 and TSI-2, respectively. The areas under the curves (AUCs) of TAI-1, TAI-2, TSI-1, and TAI-2 for the detection of ≥5 % hepatic steatosis were 0.90, 0.96, 0.91 and 0.96, respectively. According to ROC analysis, the diagnostic performance of both radiologists for TAI and TSI was statistically similar and superior to that of the clinical prediction model. CONCLUSIONS TAI and TSI have good reproducibility between radiologists with different levels of experience. Meanwhile, both TAI and TSI demonstrated good diagnostic performance for hepatic steatosis (≥5%), surpassing that of clinical prediction models.
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Affiliation(s)
- Haohao Yin
- Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Institute of Medical Imaging, Fudan University, Shanghai 200032, China; Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai 200032, China
| | - Bing Xiong
- Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Institute of Medical Imaging, Fudan University, Shanghai 200032, China; Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai 200032, China
| | - Jifeng Yu
- Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yunling Fan
- Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Boyang Zhou
- Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yikang Sun
- Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Lifan Wang
- Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Huixiong Xu
- Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
| | - Yuli Zhu
- Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
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Jeon SK, Lee JM. Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease. Insights Imaging 2024; 15:46. [PMID: 38353856 PMCID: PMC10866839 DOI: 10.1186/s13244-024-01611-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/07/2024] [Indexed: 02/17/2024] Open
Abstract
OBJECTIVES To evaluate the inter-platform reproducibility of ultrasound-based fat fraction examination in nonalcoholic fatty liver disease (NAFLD). METHODS Patients suspected of having NAFLD were prospectively enrolled from January 2023. Ultrasound-based fat fraction examinations were performed using two different platforms (ultrasound-derived fat fraction [UDFF] and quantitative ultrasound-derived estimated fat fraction [USFF]) on the same day. The correlation between UDFF and USFF was assessed using Pearson correlation coefficient. Intraclass correlation coefficient (ICC), Bland-Altman analysis with 95% limits of agreement (LOAs), and the coefficient of variation (CV) were used to assess inter-platform reproducibility. RESULTS A total of 41 patients (21 men and 20 women; mean age, 53.9 ± 12.6 years) were analyzed. Moderate correlation was observed between UDFF and USFF (Pearson's r = 0.748; 95% confidence interval [CI]: 0.572-0.858). On Bland-Altman analysis, the mean difference between UDFF and USFF values was 1.3% with 95% LOAs ranging from -8.0 to 10.6%. The ICC between UDFF and USFF was 0.842 (95% CI: 0.703-0.916), with a CV of 29.9%. CONCLUSION Substantial inter-platform variability was observed among different ultrasound-based fat fraction examinations. Therefore, it is not appropriate to use ultrasound-based fat fraction values obtained from different vendors interchangeably. CRITICAL RELEVANCE STATEMENT Considering the substantial inter-platform variability in ultrasound-based fat fraction assessments, caution is imperative when interpreting and comparing fat fraction values obtained from different ultrasound platforms in clinical practice. KEY POINTS • Inter-platform reproducibility of ultrasound-based fat fraction examinations is important for its clinical application. • Significant variability across different ultrasound-based fat fraction examinations was observed. • Using ultrasound-based fat fraction values from different vendors interchangeably is not advisable.
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Affiliation(s)
- Sun Kyung Jeon
- Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, 101 Daehangno, Jongno-Gu, Seoul, 03080, South Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, 101 Daehangno, Jongno-Gu, Seoul, 03080, South Korea.
- Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea.
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Argueta-Lozano AK, Castañeda-Martinez L, Bass V, Mateos MJ, Castillo-López JP, Perez-Badillo MP, Aguilar-Cortazar LO, Porras-Reyes F, Sollozo-Dupont MI, Torres-Robles F, Márquez-Flores J, Villaseñor-Navarro Y, Esquivel-Sirvent R, Rosado-Mendez IM. Inter- and Intra-Operator Variability of Regularized Backscatter Quantitative Ultrasound for the Characterization of Breast Masses. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:2567-2582. [PMID: 37490582 DOI: 10.1002/jum.16292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 05/27/2023] [Indexed: 07/27/2023]
Abstract
OBJECTIVES Here we report on the intra- and inter-operator variability of the backscatter coefficient (BSC) estimated with a new low-variance quantitative ultrasound (QUS) approach applied to breast lesions in vivo. METHODS Radiofrequency (RF) echo signals were acquired from 29 BIRADS 4 and 5 breast lesions in 2 sequential cohorts following 2 imaging protocols: cohort 1) radial and antiradial views, and cohort 2) short- and long-axis views. Protocol 2 was implemented after retraining and discussion on how to improve reproducibility. Each patient was scanned by at least 2 of 3 radiologists; each performed 3 acquisitions with transducer and patient repositioning in between acquisitions. BSC was estimated using a low-variance QUS approach based on regularization. Intra- and inter-operator variability of the intra-lesion median BSC was evaluated with a multifactorial ANOVA test (P-values) and the intraclass correlation coefficient (ICC). RESULTS Inter-operator variability was only significant in the first protocol (P < .007); ICCinter = .77 (95% CI .71-.82), indicating good inter-operator agreement. In the second protocol, the inter-operator variability was not significant (P > .05) and agreement was excellent (ICCinter = .92 [.89-.94]). In both protocols, the intra-operator variability was not significant. CONCLUSIONS Our findings demonstrate the need for standardizing image acquisition protocols for backscatter-based QUS to reduce inter-operator variability and ensure its successful translation to the characterization of suspicious breast masses.
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Affiliation(s)
- Ana K Argueta-Lozano
- Instituto de Física, Universidad Nacional Autónoma de México, Circuito de la Investigación Científica s/n, Ciudad Universitaria, Mexico City, Mexico
| | | | - Vivian Bass
- Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México, Circuito Exterior S/N, Ciudad Universitaria, Mexico City, Mexico
| | - Maria-Julieta Mateos
- Graduate Program in Computer Science and Engineering, Universidad Nacional Autónoma de México, Ciudad Universitaria, Mexico City, Mexico
| | | | | | | | | | | | - Fabian Torres-Robles
- Instituto de Física, Universidad Nacional Autónoma de México, Circuito de la Investigación Científica s/n, Ciudad Universitaria, Mexico City, Mexico
| | - Jorge Márquez-Flores
- Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México, Circuito Exterior S/N, Ciudad Universitaria, Mexico City, Mexico
| | | | - Raul Esquivel-Sirvent
- Instituto de Física, Universidad Nacional Autónoma de México, Circuito de la Investigación Científica s/n, Ciudad Universitaria, Mexico City, Mexico
| | - Ivan M Rosado-Mendez
- Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, USA
- Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA
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Kuroda H, Oguri T, Kamiyama N, Toyoda H, Yasuda S, Imajo K, Suzuki Y, Sugimoto K, Akita T, Tanaka J, Yasui Y, Kurosaki M, Izumi N, Nakajima A, Fujiwara Y, Abe T, Kakisaka K, Matsumoto T, Kumada T. Multivariable Quantitative US Parameters for Assessing Hepatic Steatosis. Radiology 2023; 309:e230341. [PMID: 37787670 DOI: 10.1148/radiol.230341] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Background Because of the global increase in the incidence of nonalcoholic fatty liver disease, the development of noninvasive, widely available, and highly accurate methods for assessing hepatic steatosis is necessary. Purpose To evaluate the performance of models with different combinations of quantitative US parameters for their ability to predict at least 5% steatosis in patients with chronic liver disease (CLD) as defined using MRI proton density fat fraction (PDFF). Materials and Methods Patients with CLD were enrolled in this prospective multicenter study between February 2020 and April 2021. Integrated backscatter coefficient (IBSC), signal-to-noise ratio (SNR), and US-guided attenuation parameter (UGAP) were measured in all participants. Participant MRI PDFF value was used to define at least 5% steatosis. Four models based on different combinations of US parameters were created: model 1 (UGAP alone), model 2 (UGAP with IBSC), model 3 (UGAP with SNR), and model 4 (UGAP with IBSC and SNR). Diagnostic performance of all models was assessed using area under the receiver operating characteristic curve (AUC). The model was internally validated using 1000 bootstrap samples. Results A total of 582 participants were included in this study (median age, 64 years; IQR, 52-72 years; 274 female participants). There were 364 participants in the steatosis group and 218 in the nonsteatosis group. The AUC values for steatosis diagnosis in models 1-4 were 0.92, 0.93, 0.95, and 0.96, respectively. The C-indexes of models adjusted by the bootstrap method were 0.92, 0.93, 0.95, and 0.96, respectively. Compared with other models, models 3 and 4 demonstrated improved discrimination of at least 5% steatosis (P < .01). Conclusion A model built using the quantitative US parameters UGAP, IBSC, and SNR could accurately discriminate at least 5% steatosis in patients with CLD. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Han in this issue.
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Affiliation(s)
- Hidekatsu Kuroda
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Takuma Oguri
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Naohisa Kamiyama
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Hidenori Toyoda
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Satoshi Yasuda
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Kento Imajo
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Yasuaki Suzuki
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Katsutoshi Sugimoto
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Tomoyuki Akita
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Junko Tanaka
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Yutaka Yasui
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Masayuki Kurosaki
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Namiki Izumi
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Atsushi Nakajima
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Yudai Fujiwara
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Tamami Abe
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Keisuke Kakisaka
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Takayuki Matsumoto
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
| | - Takashi Kumada
- From the Division of Gastroenterology and Hepatology, Department of Internal Medicine, Iwate Medical University School of Medicine, Nishitokuta 2-1-1, Yahaba-cho, Shiwa-gun, Iwate 028-3694, Japan (H.K., Y.F., T. Abe, K.K., T.M.); Ultrasound General Imaging, GE HealthCare, Hino, Japan (T.O., N.K.); Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan (H.T., S.Y.); Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan (K.I.); Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan (Y.S.); Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan (K.S.); Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan (T. Akita, J.T.); Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan (Y.Y., M.K., N.I.); Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan (A.N.); and Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan (T.K.)
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8
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Zeng KY, Bao WYG, Wang YH, Liao M, Yang J, Huang JY, Lu Q. Non-invasive evaluation of liver steatosis with imaging modalities: New techniques and applications. World J Gastroenterol 2023; 29:2534-2550. [PMID: 37213404 PMCID: PMC10198053 DOI: 10.3748/wjg.v29.i17.2534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/26/2023] [Accepted: 04/11/2023] [Indexed: 05/23/2023] Open
Abstract
In the world, nonalcoholic fatty liver disease (NAFLD) accounts for majority of diffuse hepatic diseases. Notably, substantial liver fat accumulation can trigger and accelerate hepatic fibrosis, thus contributing to disease progression. Moreover, the presence of NAFLD not only puts adverse influences for liver but is also associated with an increased risk of type 2 diabetes and cardiovascular diseases. Therefore, early detection and quantified measurement of hepatic fat content are of great importance. Liver biopsy is currently the most accurate method for the evaluation of hepatic steatosis. However, liver biopsy has several limitations, namely, its invasiveness, sampling error, high cost and moderate intraobserver and interobserver reproducibility. Recently, various quantitative imaging techniques have been developed for the diagnosis and quantified measurement of hepatic fat content, including ultrasound- or magnetic resonance-based methods. These quantitative imaging techniques can provide objective continuous metrics associated with liver fat content and be recorded for comparison when patients receive check-ups to evaluate changes in liver fat content, which is useful for longitudinal follow-up. In this review, we introduce several imaging techniques and describe their diagnostic performance for the diagnosis and quantified measurement of hepatic fat content.
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Affiliation(s)
- Ke-Yu Zeng
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Wu-Yong-Ga Bao
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Yun-Han Wang
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Min Liao
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Jie Yang
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Jia-Yan Huang
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Qiang Lu
- Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
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9
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Wear KA, Han A, Rubin JM, Gao J, Lavarello R, Cloutier G, Bamber J, Tuthill T. US Backscatter for Liver Fat Quantification: An AIUM-RSNA QIBA Pulse-Echo Quantitative Ultrasound Initiative. Radiology 2022; 305:526-537. [PMID: 36255312 DOI: 10.1148/radiol.220606] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is believed to affect one-third of American adults. Noninvasive methods that enable detection and monitoring of NAFLD have the potential for great public health benefits. Because of its low cost, portability, and noninvasiveness, US is an attractive alternative to both biopsy and MRI in the assessment of liver steatosis. NAFLD is qualitatively associated with enhanced B-mode US echogenicity, but visual measures of B-mode echogenicity are negatively affected by interobserver variability. Alternatively, quantitative backscatter parameters, including the hepatorenal index and backscatter coefficient, are being investigated with the goal of improving US-based characterization of NAFLD. The American Institute of Ultrasound in Medicine and Radiological Society of North America Quantitative Imaging Biomarkers Alliance are working to standardize US acquisition protocols and data analysis methods to improve the diagnostic performance of the backscatter coefficient in liver fat assessment. This review article explains the science and clinical evidence underlying backscatter for liver fat assessment. Recommendations for data collection are discussed, with the aim of minimizing potential confounding effects associated with technical and biologic variables.
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Affiliation(s)
- Keith A Wear
- From the Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, WO62, Room 2114, Silver Spring, MD 20993 (K.A.W.); Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Ill (A.H.); Department of Radiology, University of Michigan, Ann Arbor, Mich (J.M.R.); Ultrasound Research and Education, Rocky Vista University, Ivins, Utah (J.G.); Department of Engineering, Pontificia Universidad Católica del Perú, Lima, Peru (R.L.); Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, Canada (G.C.); Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Division of Radiotherapy and Imaging, Joint Department of Physics, London, UK (J.B.); and Pfizer, Cambridge, Mass (T.T.)
| | - Aiguo Han
- From the Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, WO62, Room 2114, Silver Spring, MD 20993 (K.A.W.); Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Ill (A.H.); Department of Radiology, University of Michigan, Ann Arbor, Mich (J.M.R.); Ultrasound Research and Education, Rocky Vista University, Ivins, Utah (J.G.); Department of Engineering, Pontificia Universidad Católica del Perú, Lima, Peru (R.L.); Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, Canada (G.C.); Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Division of Radiotherapy and Imaging, Joint Department of Physics, London, UK (J.B.); and Pfizer, Cambridge, Mass (T.T.)
| | - Jonathan M Rubin
- From the Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, WO62, Room 2114, Silver Spring, MD 20993 (K.A.W.); Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Ill (A.H.); Department of Radiology, University of Michigan, Ann Arbor, Mich (J.M.R.); Ultrasound Research and Education, Rocky Vista University, Ivins, Utah (J.G.); Department of Engineering, Pontificia Universidad Católica del Perú, Lima, Peru (R.L.); Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, Canada (G.C.); Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Division of Radiotherapy and Imaging, Joint Department of Physics, London, UK (J.B.); and Pfizer, Cambridge, Mass (T.T.)
| | - Jing Gao
- From the Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, WO62, Room 2114, Silver Spring, MD 20993 (K.A.W.); Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Ill (A.H.); Department of Radiology, University of Michigan, Ann Arbor, Mich (J.M.R.); Ultrasound Research and Education, Rocky Vista University, Ivins, Utah (J.G.); Department of Engineering, Pontificia Universidad Católica del Perú, Lima, Peru (R.L.); Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, Canada (G.C.); Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Division of Radiotherapy and Imaging, Joint Department of Physics, London, UK (J.B.); and Pfizer, Cambridge, Mass (T.T.)
| | - Roberto Lavarello
- From the Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, WO62, Room 2114, Silver Spring, MD 20993 (K.A.W.); Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Ill (A.H.); Department of Radiology, University of Michigan, Ann Arbor, Mich (J.M.R.); Ultrasound Research and Education, Rocky Vista University, Ivins, Utah (J.G.); Department of Engineering, Pontificia Universidad Católica del Perú, Lima, Peru (R.L.); Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, Canada (G.C.); Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Division of Radiotherapy and Imaging, Joint Department of Physics, London, UK (J.B.); and Pfizer, Cambridge, Mass (T.T.)
| | - Guy Cloutier
- From the Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, WO62, Room 2114, Silver Spring, MD 20993 (K.A.W.); Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Ill (A.H.); Department of Radiology, University of Michigan, Ann Arbor, Mich (J.M.R.); Ultrasound Research and Education, Rocky Vista University, Ivins, Utah (J.G.); Department of Engineering, Pontificia Universidad Católica del Perú, Lima, Peru (R.L.); Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, Canada (G.C.); Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Division of Radiotherapy and Imaging, Joint Department of Physics, London, UK (J.B.); and Pfizer, Cambridge, Mass (T.T.)
| | - Jeffrey Bamber
- From the Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, WO62, Room 2114, Silver Spring, MD 20993 (K.A.W.); Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Ill (A.H.); Department of Radiology, University of Michigan, Ann Arbor, Mich (J.M.R.); Ultrasound Research and Education, Rocky Vista University, Ivins, Utah (J.G.); Department of Engineering, Pontificia Universidad Católica del Perú, Lima, Peru (R.L.); Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, Canada (G.C.); Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Division of Radiotherapy and Imaging, Joint Department of Physics, London, UK (J.B.); and Pfizer, Cambridge, Mass (T.T.)
| | - Theresa Tuthill
- From the Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, WO62, Room 2114, Silver Spring, MD 20993 (K.A.W.); Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Ill (A.H.); Department of Radiology, University of Michigan, Ann Arbor, Mich (J.M.R.); Ultrasound Research and Education, Rocky Vista University, Ivins, Utah (J.G.); Department of Engineering, Pontificia Universidad Católica del Perú, Lima, Peru (R.L.); Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, Canada (G.C.); Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Division of Radiotherapy and Imaging, Joint Department of Physics, London, UK (J.B.); and Pfizer, Cambridge, Mass (T.T.)
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10
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Guan X, Chen YC, Xu HX. New horizon of ultrasound for screening and surveillance of non-alcoholic fatty liver disease spectrum. Eur J Radiol 2022; 154:110450. [PMID: 35917757 DOI: 10.1016/j.ejrad.2022.110450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 07/01/2022] [Accepted: 07/19/2022] [Indexed: 12/07/2022]
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Zhou H, Zhou Y, Ding J, Chen Y, Wen J, Zhao L, Zhang Q, Jing X. Clinical evaluation of grayscale and linear scale hepatorenal indices for fatty liver quantification: a prospective study of a native Chinese population. Abdom Radiol (NY) 2022; 47:1321-1332. [PMID: 35150314 DOI: 10.1007/s00261-022-03434-3] [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: 10/10/2021] [Revised: 01/26/2022] [Accepted: 01/28/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND AIMS Hepato-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 METHODS A 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. RESULTS Inter-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%). CONCLUSIONS Both GS-HRI and LS-HRI measurements are reproducible between two ultrasonographic clinicians and are evidently effective for steatosis detection.
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Affiliation(s)
- Hongyu Zhou
- Department of Ultrasound, The Third Central Hospital of Tianjin/Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases/Artificial Cell Engineering Technology Research Center, Tianjin, China/Tianjin Institute of Hepatobiliary Disease, Tianjin, China, 83 Jintang Road, Hedong District, Tianjin, 300170, China
| | - Yan Zhou
- Department of Ultrasound, The Third Central Hospital of Tianjin/Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases/Artificial Cell Engineering Technology Research Center, Tianjin, China/Tianjin Institute of Hepatobiliary Disease, Tianjin, China, 83 Jintang Road, Hedong District, Tianjin, 300170, China
| | - Jianmin Ding
- Department of Ultrasound, The Third Central Hospital of Tianjin/Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases/Artificial Cell Engineering Technology Research Center, Tianjin, China/Tianjin Institute of Hepatobiliary Disease, Tianjin, China, 83 Jintang Road, Hedong District, Tianjin, 300170, China
| | - Ying Chen
- Department of Ultrasound, The Third Central Hospital of Tianjin/Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases/Artificial Cell Engineering Technology Research Center, Tianjin, China/Tianjin Institute of Hepatobiliary Disease, Tianjin, China, 83 Jintang Road, Hedong District, Tianjin, 300170, China
| | - Jing Wen
- Department of Ultrasound, The Third Central Hospital of Tianjin/Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases/Artificial Cell Engineering Technology Research Center, Tianjin, China/Tianjin Institute of Hepatobiliary Disease, Tianjin, China, 83 Jintang Road, Hedong District, Tianjin, 300170, China
| | - Lei Zhao
- Department of Ultrasound, The Third Central Hospital of Tianjin/Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases/Artificial Cell Engineering Technology Research Center, Tianjin, China/Tianjin Institute of Hepatobiliary Disease, Tianjin, China, 83 Jintang Road, Hedong District, Tianjin, 300170, China
| | - Qian Zhang
- The Third Central Clinical College of Tianjin Medical University, Tianjin, 300170, China
| | - Xiang Jing
- Department of Ultrasound, The Third Central Hospital of Tianjin/Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases/Artificial Cell Engineering Technology Research Center, Tianjin, China/Tianjin Institute of Hepatobiliary Disease, Tianjin, China, 83 Jintang Road, Hedong District, Tianjin, 300170, China.
- Department of Ultrasound, The Third Central Hospital of Tianjin, Tianjin, China, 83 Jintang Road, Hedong District, Tianjin, 300170, China.
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12
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SGLT2 Inhibitors as the Most Promising Influencers on the Outcome of Non-Alcoholic Fatty Liver Disease. Int J Mol Sci 2022; 23:ijms23073668. [PMID: 35409028 PMCID: PMC8998221 DOI: 10.3390/ijms23073668] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 03/20/2022] [Accepted: 03/22/2022] [Indexed: 02/07/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD), the most frequent liver disease in the Western world, is a common hepatic manifestation of metabolic syndrome (MetS). A specific cure has not yet been identified, and its treatment is currently based on risk factor therapy. Given that the initial accumulation of triglycerides in the liver parenchyma, in the presence of inflammatory processes, mitochondrial dysfunction, lipotoxicity, glucotoxicity, and oxidative stress, can evolve into non-alcoholic steatohepatitis (NASH). The main goal is to identify the factors contributing to this evolution because, once established, untreated NASH can progress through fibrosis to cirrhosis and, ultimately, be complicated by hepatocellular carcinoma (HCC). Several drugs have been tested in clinical trials for use as specific therapy for NAFLD; most of them are molecules used to cure type 2 diabetes mellitus (T2DM), which is one of the main risk factors for NAFLD. Among the most studied is pioglitazone, either alone or in combination with vitamin E, glucagon-like peptide-1 (GLP-1) receptor agonists, dipeptidyl peptidase-4 (DPP-4) inhibitors. Actually, the most promising category seems to be sodium-glucose cotransporter (SGLT2) inhibitors. Their action is carried out by inhibiting glucose reabsorption in the proximal renal tubule, leading to its increased excretion in urine and decreased levels in plasma. Experimental studies in animal models have suggested that SGLT2 inhibitors may have beneficial modulatory effects on NAFLD/NASH, and several trials in patients have proven their beneficial effects on liver enzymes, BMI, blood lipids, blood glucose, and insulin resistance in NAFLD patients, thus creating strong expectations for their possible use in preventing the evolution of liver damage in these patients. We will review the main pathogenetic mechanisms, diagnostic modalities, and recent therapies of NAFLD, with particular attention to the use of SGLT2 inhibitors.
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Tamaki N, Ajmera V, Loomba R. Non-invasive methods for imaging hepatic steatosis and their clinical importance in NAFLD. Nat Rev Endocrinol 2022; 18:55-66. [PMID: 34815553 PMCID: PMC9012520 DOI: 10.1038/s41574-021-00584-0] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/11/2021] [Indexed: 01/27/2023]
Abstract
Hepatic steatosis is a key histological feature of nonalcoholic fatty liver disease (NAFLD). The non-invasive quantification of liver fat is now possible due to advances in imaging modalities. Emerging data suggest that high levels of liver fat and its temporal change, as measured by quantitative non-invasive methods, might be associated with NAFLD progression. Ultrasound-based modalities have moderate diagnostic accuracy for liver fat content and are suitable for screening. However, of the non-invasive imaging modalities, MRI-derived proton density fat fraction (MRI-PDFF) has the highest diagnostic accuracy and is used for trial enrolment and to evaluate therapeutic effects in early-phase clinical trials in nonalcoholic steatohepatitis (NASH). In patients with NAFLD without advanced fibrosis, high levels of liver fat are associated with rapid disease progression. Furthermore, changes on MRI-PDFF (≥30% decline relative to baseline) are associated with NAFLD activity score improvement and fibrosis regression. However, an inverse association exists between liver fat and complications of cirrhosis. Liver fat decreases as liver fibrosis progresses towards cirrhosis, and the clinical importance of quantitative measurements of liver fat differs by NAFLD status. As such, patients with NAFLD should be stratified by fibrosis severity to investigate the utility of quantitative measurements of liver fat for assessing NAFLD progression and prognosis.
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Affiliation(s)
- Nobuharu Tamaki
- NAFLD Research Center, Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan
| | - Veeral Ajmera
- NAFLD Research Center, Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Rohit Loomba
- NAFLD Research Center, Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, La Jolla, CA, USA.
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
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14
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Carlson CS, Postema M. Deep impact of superficial skin inking: acoustic analysis of underlying tissue. BIO INTEGRATION 2021. [DOI: 10.15212/bioi-2021-0004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Abstract Background: Skin tattoos are a common decoration, but profound scientific study whether the presence of a skin tattoo alters the acoustic response from superficial tissue, and therefore from underlying tissue, was previously lacking. Any image aberrations
caused by tattoo presence may have been thought negligible, yet empirically found artifacts in brightness-mode images of tattooed skin suggest otherwise. This study investigated the nature of these artifacts theoretically and experimentally in extremely simplified cases of perfectly flat and
homogenous layered media and in tattooed pork.Methods: Theory was derived for computing the acoustic response from horizontally and vertically layered media containing a thin inked layer. Experiments were performed in vitro. Artificial and pork skin were tattooed, attached to phantom
material, and sonicated with a 13‐6-MHz probe. The speed of sound of these materials was determined, and the perceived refraction angles was measured.Results: The measured speeds of sound of tattooed materials were higher than those of their uninked counterparts. The presence
of tattoo ink was found to have increased the linear acoustic attenuation by 1 dB/cm. This value is negligible for typical tattoos of only few millimeters. The perceived critical refraction angles of adjacent materials could be detected, and their corresponding speeds of sound were quantified.
These coincided with values derived from theory.Conclusion: The ratio of speeds of sound of adjacent materials was shown to create distinct highlights in brightness-mode images. The artifacts observed in in vitro and in vivo brightness-mode scans were explained from near-vertical
transitions between areas of different sound speed. This is the first study correlating so-called critical refraction highlighting with speed-of-sound information. In addition, it was found that phantom material is a room-temperature acoustic alternative for experiments on live human skin.
In summary, the presence of superficial tattoos has a small but quantifiable effect on the acoustic response from deeper tissues.
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Affiliation(s)
- Craig S. Carlson
- School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 1 Jan Smuts Laan, 2050 Braamfontein, South Africa
| | - Michiel Postema
- School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 1 Jan Smuts Laan, 2050 Braamfontein, South Africa
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Jeon SK, Lee JM, Joo I, Yoon JH. Assessment of the inter-platform reproducibility of ultrasound attenuation examination in nonalcoholic fatty liver disease. Ultrasonography 2021; 41:355-364. [PMID: 34933319 PMCID: PMC8942738 DOI: 10.14366/usg.21167] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/31/2021] [Indexed: 12/02/2022] Open
Abstract
Purpose This study aimed to assess the inter-platform reproducibility of ultrasound attenuation examination in patients with nonalcoholic fatty liver disease (NAFLD). Methods Between March 2021 and April 2021, patients with clinically suspected or known NAFLD were prospectively enrolled; each patient underwent ultrasound attenuation examinations with three different platforms (Attenuation Imaging [ATI], Canon Medical System; Tissue Attenuation Imaging [TAI], Samsung Medison; and Ultrasound-Guided Attenuation Parameter [UGAP], GE Healthcare) on the same day. The mean attenuation coefficient (AC) values of the three platforms were compared using repeated-measures analysis of variance with the Bonferroni correction. To evaluate inter-platform reproducibility, the AC values obtained for each platform were compared using Bland-Altman analysis with the calculation of 95% limits of agreement (LOA), intraclass correlation coefficients (ICCs), and coefficients of variation (CVs). Results Forty-six patients (23 men; mean age±standard deviation, 52.3±12.4 years) were enrolled. The mean AC values showed significant differences among the three platforms (0.75±0.12, 0.80±0.11, and 0.74±0.09 dB/cm/MHz for ATI, TAI, and UGAP, respectively; P<0.001). For inter-platform reproducibility, the 95% LOAs were -0.22 to 0.11 dB/cm/MHz between ATI and TAI, -0.17 to 0.18 dB/cm/MHz between ATI and UGAP, and -0.08 to 0.20 dB/cm/MHz between TAI and UGAP, respectively. The pairwise ICCs were 0.790-0.797 in terms of absolute agreement among the three platforms; the CVs were 8.23%-9.47%. Conclusion The AC values obtained from different ultrasound attenuation examination platforms showed significant differences, with significant inter-platform variability. Therefore, the AC values measured using different ultrasound attenuation examination techniques should not be used interchangeably for longitudinal follow-up of patients with NAFLD.
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Affiliation(s)
- Sun Kyung Jeon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
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Cloutier G, Destrempes F, Yu F, Tang A. Quantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicists. Insights Imaging 2021; 12:127. [PMID: 34499249 PMCID: PMC8429541 DOI: 10.1186/s13244-021-01071-w] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 08/07/2021] [Indexed: 12/26/2022] Open
Abstract
Quantitative ultrasound (QUS) aims at quantifying interactions between ultrasound and biological tissues. QUS techniques extract fundamental physical properties of tissues based on interactions between ultrasound waves and tissue microstructure. These techniques provide quantitative information on sub-resolution properties that are not visible on grayscale (B-mode) imaging. Quantitative data may be represented either as a global measurement or as parametric maps overlaid on B-mode images. Recently, major ultrasound manufacturers have released speed of sound, attenuation, and backscatter packages for tissue characterization and imaging. Established and emerging clinical applications are currently limited and include liver fibrosis staging, liver steatosis grading, and breast cancer characterization. On the other hand, most biological tissues have been studied using experimental QUS methods, and quantitative datasets are available in the literature. This educational review addresses the general topic of biological soft tissue characterization using QUS, with a focus on disseminating technical concepts for clinicians and specialized QUS materials for medical physicists. Advanced but simplified technical descriptions are also provided in separate subsections identified as such. To understand QUS methods, this article reviews types of ultrasound waves, basic concepts of ultrasound wave propagation, ultrasound image formation, point spread function, constructive and destructive wave interferences, radiofrequency data processing, and a summary of different imaging modes. For each major QUS technique, topics include: concept, illustrations, clinical examples, pitfalls, and future directions.
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Affiliation(s)
- Guy Cloutier
- Laboratory of Biorheology and Medical Ultrasonics, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 St-Denis, Montréal, Québec, H2X 0A9, Canada.
- Department of Radiology, Radio-oncology, and Nuclear Medicine, Université de Montréal, Montréal, Québec, Canada.
- Institute of Biomedical Engineering, Université de Montréal, Montréal, Québec, Canada.
| | - François Destrempes
- Laboratory of Biorheology and Medical Ultrasonics, Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), 900 St-Denis, Montréal, Québec, H2X 0A9, Canada
| | - François Yu
- Department of Radiology, Radio-oncology, and Nuclear Medicine, Université de Montréal, Montréal, Québec, Canada
- Institute of Biomedical Engineering, Université de Montréal, Montréal, Québec, Canada
- Microbubble Theranostics Laboratory, CRCHUM, Montréal, Québec, Canada
| | - An Tang
- Department of Radiology, Radio-oncology, and Nuclear Medicine, Université de Montréal, Montréal, Québec, Canada
- Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Québec, Canada
- Laboratory of Medical Image Analysis, Montréal, CRCHUM, Canada
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Wen H, Zheng W, Li M, Li Q, Liu Q, Zhou J, Liu Z, Chen X. Multiparametric Quantitative US Examination of Liver Fibrosis: A Feature-engineering and Machine-learning Based Analysis. IEEE J Biomed Health Inform 2021; 26:715-726. [PMID: 34329172 DOI: 10.1109/jbhi.2021.3100319] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Quantitative ultrasound (QUS), which is commonly used to extract quantitative features from the ultrasound radiofrequency (RF) data or the RF envelope signals for tissue characterization, is becoming a promising technique for noninvasive assessments of liver fibrosis. However, the number of feature variables examined and finally used in the existing QUS methods is typically small, to some extent limiting the diagnostic performance. Therefore, this paper devises a new multiparametric QUS (MP-QUS) method which enables the extraction of a large number of feature variables from US RF signals and allows for the use of feature-engineering and machinelearning based algorithms for liver fibrosis assessment. In the MP-QUS, eighty-four feature variables were extracted from multiple QUS parametric maps derived from the RF signals and the envelope data. Afterwards, feature reduction and selection were performed in turn to remove the feature redundancy and identify the best combination of features in the reduced feature set. Finally, a variety of machine-learning algorithms were tested for classifying liver fibrosis with the selected features, based on the results of which the optimal classifier was established and used for final classification. The performance of the proposed MPQUS method for staging liver fibrosis was evaluated on an animal model, with histologic examination as the reference standard. The mean accuracy, sensitivity, specificity and area under the receiver-operating-characteristic curve achieved by MP-QUS are respectively 83.38%, 86.04%, 80.82% and 0.891 for recognizing significant liver fibrosis, and 85.50%, 88.92%, 85.24% and 0.924 for diagnosing liver cirrhosis. The proposed MP-QUS method paves a way for its future extension to assess liver fibrosis in human subjects.
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Pirmoazen AM, Khurana A, El Kaffas A, Kamaya A. Quantitative ultrasound approaches for diagnosis and monitoring hepatic steatosis in nonalcoholic fatty liver disease. Theranostics 2020; 10:4277-4289. [PMID: 32226553 PMCID: PMC7086372 DOI: 10.7150/thno.40249] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Accepted: 02/14/2020] [Indexed: 12/13/2022] Open
Abstract
Nonalcoholic fatty liver disease is a major global health concern with increasing prevalence, associated with obesity and metabolic syndrome. Recently, quantitative ultrasound-based imaging techniques have dramatically improved the ability of ultrasound to detect and quantify hepatic steatosis. These newer ultrasound techniques possess many inherent advantages similar to conventional ultrasound such as universal availability, real-time capability, and relatively low cost along with quantitative rather than a qualitative assessment of liver fat. In addition, quantitative ultrasound-based imaging techniques are less operator dependent than traditional ultrasound. Here we review several different emerging quantitative ultrasound-based approaches used for detection and quantification of hepatic steatosis in patients at risk for nonalcoholic fatty liver disease. We also briefly summarize other clinically available imaging modalities for evaluating hepatic steatosis such as MRI, CT, and serum analysis.
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Affiliation(s)
- Amir M. Pirmoazen
- Department of Radiology, School of Medicine, Stanford University, Stanford, California
| | - Aman Khurana
- Department of Radiology, University of Kentucky, Lexington, Kentucky
| | - Ahmed El Kaffas
- Department of Radiology, Molecular Imaging Program at Stanford, School of Medicine, Stanford University, Stanford, California
| | - Aya Kamaya
- Department of Radiology, School of Medicine, Stanford University, Stanford, California
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Han A, Byra M, Heba E, Andre MP, Erdman JW, Loomba R, Sirlin CB, O'Brien WD. Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks. Radiology 2020; 295:342-350. [PMID: 32096706 DOI: 10.1148/radiol.2020191160] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Radiofrequency ultrasound data from the liver contain rich information about liver microstructure and composition. Deep learning might exploit such information to assess nonalcoholic fatty liver disease (NAFLD). Purpose To develop and evaluate deep learning algorithms that use radiofrequency data for NAFLD assessment, with MRI-derived proton density fat fraction (PDFF) as the reference. Materials and Methods A HIPAA-compliant secondary analysis of a single-center prospective study was performed for adult participants with NAFLD and control participants without liver disease. Participants in the parent study were recruited between February 2012 and March 2014 and underwent same-day US and MRI of the liver. Participants were randomly divided into an equal number of training and test groups. The training group was used to develop two algorithms via cross-validation: a classifier to diagnose NAFLD (MRI PDFF ≥ 5%) and a fat fraction estimator to predict MRI PDFF. Both algorithms used one-dimensional convolutional neural networks. The test group was used to evaluate the classifier for sensitivity, specificity, positive predictive value, negative predictive value, and accuracy and to evaluate the estimator for correlation, bias, limits of agreements, and linearity between predicted fat fraction and MRI PDFF. Results A total of 204 participants were analyzed, 140 had NAFLD (mean age, 52 years ± 14 [standard deviation]; 82 women) and 64 were control participants (mean age, 46 years ± 21; 42 women). In the test group, the classifier provided 96% (95% confidence interval [CI]: 90%, 99%) (98 of 102) accuracy for NAFLD diagnosis (sensitivity, 97% [95% CI: 90%, 100%], 68 of 70; specificity, 94% [95% CI: 79%, 99%], 30 of 32; positive predictive value, 97% [95% CI: 90%, 99%], 68 of 70; negative predictive value, 94% [95% CI: 79%, 98%], 30 of 32). The estimator-predicted fat fraction correlated with MRI PDFF (Pearson r = 0.85). The mean bias was 0.8% (P = .08), and 95% limits of agreement were -7.6% to 9.1%. The predicted fat fraction was linear with an MRI PDFF of 18% or less (r = 0.89, slope = 1.1, intercept = 1.3) and nonlinear with an MRI PDFF greater than 18%. Conclusion Deep learning algorithms using radiofrequency ultrasound data are accurate for diagnosis of nonalcoholic fatty liver disease and hepatic fat fraction quantification when other causes of steatosis are excluded. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Lockhart and Smith in this issue.
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Affiliation(s)
- Aiguo Han
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Department of Radiology (M.B., M.P.A.), Liver Imaging Group, Department of Radiology (E.H., C.B.S.), and NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), University of California, San Diego, La Jolla, Calif; and Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland (M.B.)
| | - Michal Byra
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Department of Radiology (M.B., M.P.A.), Liver Imaging Group, Department of Radiology (E.H., C.B.S.), and NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), University of California, San Diego, La Jolla, Calif; and Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland (M.B.)
| | - Elhamy Heba
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Department of Radiology (M.B., M.P.A.), Liver Imaging Group, Department of Radiology (E.H., C.B.S.), and NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), University of California, San Diego, La Jolla, Calif; and Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland (M.B.)
| | - Michael P Andre
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Department of Radiology (M.B., M.P.A.), Liver Imaging Group, Department of Radiology (E.H., C.B.S.), and NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), University of California, San Diego, La Jolla, Calif; and Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland (M.B.)
| | - John W Erdman
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Department of Radiology (M.B., M.P.A.), Liver Imaging Group, Department of Radiology (E.H., C.B.S.), and NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), University of California, San Diego, La Jolla, Calif; and Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland (M.B.)
| | - Rohit Loomba
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Department of Radiology (M.B., M.P.A.), Liver Imaging Group, Department of Radiology (E.H., C.B.S.), and NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), University of California, San Diego, La Jolla, Calif; and Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland (M.B.)
| | - Claude B Sirlin
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Department of Radiology (M.B., M.P.A.), Liver Imaging Group, Department of Radiology (E.H., C.B.S.), and NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), University of California, San Diego, La Jolla, Calif; and Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland (M.B.)
| | - William D O'Brien
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Department of Radiology (M.B., M.P.A.), Liver Imaging Group, Department of Radiology (E.H., C.B.S.), and NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), University of California, San Diego, La Jolla, Calif; and Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland (M.B.)
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Han A, Zhang YN, Boehringer AS, Montes V, Andre MP, Erdman JW, Loomba R, Valasek MA, Sirlin CB, O'Brien WD. Assessment of Hepatic Steatosis in Nonalcoholic Fatty Liver Disease by Using Quantitative US. Radiology 2020; 295:106-113. [PMID: 32013792 DOI: 10.1148/radiol.2020191152] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background Advanced confounder-corrected chemical shift-encoded MRI-derived proton density fat fraction (PDFF) is a leading parameter for fat fraction quantification in nonalcoholic fatty liver disease (NAFLD). Because of the limited availability of this MRI technique, there is a need to develop and validate alternative parameters to assess liver fat. Purpose To assess relationship of quantitative US parameters to MRI PDFF and to develop multivariable quantitative US models to detect hepatic steatosis and quantify hepatic fat. Materials and Methods Adults with known NAFLD or who were suspected of having NAFLD were prospectively recruited between August 2015 and February 2019. Participants underwent quantitative US and chemical shift-encoded MRI liver examinations. Liver biopsies were performed if clinically indicated. The correlation between seven quantitative US parameters and MRI PDFF was evaluated. By using leave-one-out cross validation, two quantitative US multivariable models were evaluated: a classifier to differentiate participants with NAFLD versus participants without NAFLD and a fat fraction estimator. Classifier performance was summarized by area under the receiver operating characteristic curve and area under the precision-recall curve. Fat fraction estimator performance was evaluated by correlation, linearity, and bias. Results Included were 102 participants (mean age, 52 years ± 13 [standard deviation]; 53 women), 78 with NAFLD (MRI PDFF ≥ 5%). A two-variable classifier yielded a cross-validated area under the receiver operating characteristic curve of 0.89 (95% confidence interval: 0.82, 0.96) and an area under the precision-recall curve of 0.96 (95% confidence interval: 0.93, 0.99). The cross-validated fat fraction predicted by a two-variable fat fraction estimator was correlated with MRI PDFF (Spearman ρ = 0.82 [P < .001]; Pearson r = 0.76 [P < .001]). The mean bias was 0.02% (P = .97), and 95% limits of agreement were ±12.0%. The predicted fat fraction was linear with MRI PDFF (R 2 = 0.63; slope, 0.69; intercept, 4.3%) for MRI PDFF of 34% or less. Conclusion A multivariable quantitative US approach yielded excellent correlation with MRI proton density fat fraction for hepatic steatosis assessment in nonalcoholic fatty liver disease. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Aiguo Han
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif
| | - Yingzhen N Zhang
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif
| | - Andrew S Boehringer
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif
| | - Vivian Montes
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif
| | - Michael P Andre
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif
| | - John W Erdman
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif
| | - Rohit Loomba
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif
| | - Mark A Valasek
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif
| | - Claude B Sirlin
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif
| | - William D O'Brien
- From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Liver Imaging Group, Department of Radiology (Y.N.Z., A.S.B., V.M., C.B.S.), Department of Radiology (M.P.A.); NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), and Department of Pathology (M.A.V.), University of California, San Diego, La Jolla, Calif
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Transfer learning radiomics based on multimodal ultrasound imaging for staging liver fibrosis. Eur Radiol 2020; 30:2973-2983. [PMID: 31965257 PMCID: PMC7160214 DOI: 10.1007/s00330-019-06595-w] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 11/12/2019] [Accepted: 11/15/2019] [Indexed: 02/06/2023]
Abstract
Objectives To propose a transfer learning (TL) radiomics model that efficiently combines the information from gray scale and elastogram ultrasound images for accurate liver fibrosis grading. Methods Totally 466 patients undergoing partial hepatectomy were enrolled, including 401 with chronic hepatitis B and 65 without fibrosis pathologically. All patients received elastography and got liver stiffness measurement (LSM) 2–3 days before surgery. We proposed a deep convolutional neural network by TL to analyze images of gray scale modality (GM) and elastogram modality (EM). The TL process was used for liver fibrosis classification by Inception-V3 network which pretrained on ImageNet. The diagnostic performance of TL and non-TL was compared. The value of single modalities, including GM and EM alone, and multimodalities, including GM + LSM and GM + EM, was evaluated and compared with that of LSM and serological indexes. Receiver operating characteristic curve analysis was performed to calculate the optimal area under the curve (AUC) for classifying fibrosis of S4, ≥ S3, and ≥ S2. Results TL in GM and EM demonstrated higher diagnostic accuracy than non-TL, with significantly higher AUCs (all p < .01). Single-modal GM and EM both performed better than LSM and serum indexes (all p < .001). Multimodal GM + EM was the most accurate prediction model (AUCs are 0.950, 0.932, and 0.930 for classifying S4, ≥ S3, and ≥ S2, respectively) compared with GM + LSM, GM and EM alone, LSM, and biomarkers (all p < .05). Conclusions Liver fibrosis can be staged by a transfer learning modal based on the combination of gray scale and elastogram ultrasound images, with excellent performance. Key Points • Transfer learning consists in applying to a specific deep learning algorithm that pretrained on another relevant problem, expected to reduce the risk of overfitting due to insufficient medical images. • Liver fibrosis can be staged by transfer learning radiomics with excellent performance. • The most accurate prediction model of transfer learning by Inception-V3 network is the combination of gray scale and elastogram ultrasound images. Electronic supplementary material The online version of this article (10.1007/s00330-019-06595-w) contains supplementary material, which is available to authorized users.
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Chen S, McFarlin BL, Meagher BT, Peters TA, Simpson DG, O'Brien WD, Han A. A Phantom-Based Assessment of Repeatability and Reproducibility of Transvaginal Quantitative Ultrasound. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2019; 66:1413-1421. [PMID: 31217100 PMCID: PMC6774614 DOI: 10.1109/tuffc.2019.2921925] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
This article evaluated the repeatability and reproducibility (R&R) of quantitative ultrasound (QUS) biomarkers attenuation coefficient (AC) and backscatter coefficient (BSC) in transvaginal QUS reference phantoms for obstetric applications. Five phantoms were scanned by three sonographers according to the scanning protocol. Each sonographer scanned each phantom with four transvaginal transducers of the same model (MC9-4) and three probe cover types (latex cover, nonlatex cover, and no cover). The AC and BSC were estimated by using a reference phantom method. The R&R analysis was performed for the frequency-averaged AC and logBSC (= 10log10BSC) (5.4-5.8 MHz) by using three-factor random effects Analysis of Variance with interaction. The total R&R variabilities for AC and logBSC are small (AC: 0.042-0.065 dB/cm-MHz; logBSC: 0.50-0.68 dB), indicating high measurement precision. These values are small compared to the ranges of AC (0.28-0.99 dB/cm-MHz) and logBSC (-33.16 to -20.35 dB) of the five phantoms. The AC and logBSC biomarkers measured on transvaginal QUS phantoms using the reference phantom method are repeatable, and reproducible between sonographers, transducers, and probe covers.
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Bae JS, Lee DH, Lee JY, Kim H, Yu SJ, Lee JH, Cho EJ, Lee YB, Han JK, Choi BI. Assessment of hepatic steatosis by using attenuation imaging: a quantitative, easy-to-perform ultrasound technique. Eur Radiol 2019; 29:6499-6507. [PMID: 31175413 DOI: 10.1007/s00330-019-06272-y] [Citation(s) in RCA: 96] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 05/02/2019] [Accepted: 05/10/2019] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To evaluate the diagnostic performance of attenuation imaging (ATI) in the detection of hepatic steatosis compared with a histopathology gold standard. METHODS We prospectively enrolled 108 consecutive patients (35 males; median age, 54.0 years) who underwent percutaneous liver biopsy for evaluation of diffuse liver disease between January 2018 and November 2018 in a tertiary academic center. Grayscale ultrasound examination with ATI was performed just before biopsy, and an attenuation coefficient (AC) was obtained from each patient. The degree of hepatic steatosis, fibrosis stage, and necroinflammatory activity were assessed on histopathologic examination. The significant factor associated with the AC was found by a linear regression analysis, and the diagnostic performance of the AC for the classification into each hepatic steatosis stage was evaluated by receiver operating characteristic (ROC) analysis. RESULTS The distribution of hepatic steatosis grade on histopathology was 53/11/22/16/6 for none/mild (< 10%)/mild (≥ 10%)/moderate/severe steatosis, respectively. The area under the ROC curve, sensitivity, specificity, and optimal cutoff AC value for detection of hepatic steatosis ranged from 0.843-0.926, 74.5-100.0%, 77.4-82.8%, and 0.635-0.745, respectively. Multivariate analysis revealed that the degree of steatosis was the only significant determinant factor for the AC. CONCLUSIONS The AC from ATI provided good diagnostic performance in detecting the varying degrees of hepatic steatosis. The degree of steatosis was the only significant factor affecting the AC, whereas fibrosis and inflammation were not. KEY POINTS • Attenuation imaging (ATI) is based on two-dimensional grayscale ultrasound images that can incorporate into routine ultrasound examinations with less than 2 min of acquisition time. • ATI provided good diagnostic performance in detecting the varying degrees of hepatic steatosis with an area under the ROC curves ranging from 0.843 to 0.926, and there was no technical failure in this study indicating high applicability of this technique. • The degree of hepatic steatosis was the only significant factor affecting the result of ATI examination.
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Affiliation(s)
- Jae Seok Bae
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. .,Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
| | - Jae Young Lee
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Haeryoung Kim
- Department of Pathology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Su Jong Yu
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Jeong-Hoon Lee
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Eun Ju Cho
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Yun Bin Lee
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Joon Koo Han
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Byung Ihn Choi
- Department of Radiology, Chung-Ang University Hospital, 102, Heukseok-ro, Dongjak-gu, Seoul, 06973, Republic of Korea
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Lee JY, Hong HS, Kim CH. Prognostic value of acoustic structure quantification in patients with Hashimoto’s thyroiditis. Eur Radiol 2019; 29:5971-5980. [DOI: 10.1007/s00330-019-06174-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 03/04/2019] [Accepted: 03/15/2019] [Indexed: 02/06/2023]
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