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Zhou Y, Nie M, Mao F, Zhou H, Zhao L, Ding J, Kan Y, Jing X. Associations Between Multiparametric US-Based Indicators and Pathological Status in Patients with Metabolic Associated Fatty Liver Disease. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:1395-1402. [PMID: 38871490 DOI: 10.1016/j.ultrasmedbio.2024.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 04/05/2024] [Accepted: 05/16/2024] [Indexed: 06/15/2024]
Abstract
OBJECTIVE Noninvasive evaluation of metabolic dysfunction-associated fatty liver disease (MAFLD) using ultrasonography holds significant clinical value. The associations between ultrasound (US)-based parameters and the pathological spectra remain unclear and controversial. This study aims to investigate the associations thoroughly. METHODS The participants with MAFLD undergoing liver biopsy and multiparametric ultrasonography were prospectively recruited from December 2020 to September 2022. Three US-based parameters, namely attenuation coefficient (AC), liver stiffness (LS) and dispersion slope (DS) were obtained. The relationship between these parameters and steatosis grades, inflammation grades and fibrosis stages was examined. RESULTS In this study with 116 participants, AC values significantly differed across distinct steatosis grades (p < 0.001), while DS and LS values varied among inflammation grades (p < 0.001) and fibrosis stages (p < 0.001). The area under the receiver operating characteristic curves (AUCs) of AC ranged from 0.82 to 0.84 for differentiating steatosis grades, while AUCs of LS ranged from 0.62 to 0.76 for distinguishing inflammation grades and 0.83-0.95 for discerning fibrosis stages. AUCs for DS ranged from 0.79 to 0.81 in discriminating inflammation grades and 0.80-0.88 for differentiating fibrosis stages. Subgroup analysis revealed that LS demonstrated different trends in inflammation grade but consistent trends in fibrosis stage across subgroups, whereas DS showed consistent trends for both inflammation grade and fibrosis stage across all subgroups. CONCLUSION AC values indicate the degree of hepatic steatosis but not inflammation or fibrosis. LS values are determined only by fibrosis stage and are not associated with inflammation grades. DS values are associated with both fibrosis and inflammation grades.
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Affiliation(s)
- Yan Zhou
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal, Life Support for Critical Diseases, Artificial Cell Engineering Technology Research, Center, Tianjin Third Central Hospital, Tianjin, China
| | - Mengjin Nie
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; The Third Central Clinical College of Tianjin Medical University, Tianjin, China
| | - Feng Mao
- Department of Ultrasound, Zhongshan Hospital Fudan University, Shanghai
| | - Hongyu Zhou
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal, Life Support for Critical Diseases, Artificial Cell Engineering Technology Research, Center, Tianjin Third Central Hospital, Tianjin, China
| | - Lin Zhao
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal, Life Support for Critical Diseases, Artificial Cell Engineering Technology Research, Center, Tianjin Third Central Hospital, Tianjin, China
| | - Jianmin Ding
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal, Life Support for Critical Diseases, Artificial Cell Engineering Technology Research, Center, Tianjin Third Central Hospital, Tianjin, China
| | - Yanmin Kan
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal, Life Support for Critical Diseases, Artificial Cell Engineering Technology Research, Center, Tianjin Third Central Hospital, Tianjin, China
| | - Xiang Jing
- Department of Ultrasound, Tianjin Third Central Hospital, Tianjin, China; Tianjin Institute of Hepatobiliary Disease, Tianjin Key Laboratory of Extracorporeal, Life Support for Critical Diseases, Artificial Cell Engineering Technology Research, Center, Tianjin Third Central Hospital, Tianjin, China.
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Song SJ, Kim YR, Lee YH, Cho EY. Potential role of two-dimensional shear wave elastography, including liver stiffness measurement and dispersion slope, for management of chronic hepatitis B. Ultrasonography 2024; 43:384-392. [PMID: 39175218 PMCID: PMC11374586 DOI: 10.14366/usg.24091] [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: 05/20/2024] [Accepted: 07/15/2024] [Indexed: 08/24/2024] Open
Abstract
PURPOSE This study assessed the use of liver stiffness (LS) and dispersion slope (DS) in classifying patients with chronic hepatitis B (CHB) by the necessity of antiviral treatment. METHODS A retrospective review examined 249 patients with CHB (male:female, 107:142; mean age, 53±14 years) between April 2018 and March 2022. Patients for whom treatment was indicated, termed group 1, exhibited either serum alanine transaminase (ALT) and aspartate aminotransferase levels not exceeding five times the upper limit of normal and LS >13 kPa, or hepatitis B virus DNA >2,000 IU/mL and ALT >40 IU/L. The remaining patients comprised group 2 (treatment not required). In subgroup analysis, patients with LS <13 kPa were further examined. RESULTS Overall, group 1 exhibited significantly higher LS (12.64±6.76 vs. 6.31±1.67 kPa, P<0.001) and DS (15.52±4.95 vs. 11.04±1.93 [m/s]/kHz, P<0.001) than group 2. In subgroup analysis, group 1 also demonstrated significantly higher values (LS: 8.05±2.12 vs 6.31±1.67 kPa, P<0.001, DS: 13.06±2.75 vs. 11.04±1.93 [m/s]/kHz, P<0.001). The areas under the curve (AUCs) for LS and DS in group 1 were 0.855 (95% confidence interval [CI], 0.80 to 0.90; P<0.001) and 0.810 (95% CI, 0.75 to 0.86; P<0.001), respectively. In subgroup analysis, the AUCs for LS and DS in group 1 were 0.751 (95% CI, 0.69 to 0.81; P<0.001) and 0.711 (95% CI, 0.64 to 0.77; P<0.001), respectively. Within group 1, the AUCs for LS and DS did not differ significantly (P>0.05). CONCLUSION LS and DS assist in classifying patients with CHB by their need for antiviral treatment.
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Affiliation(s)
- Seung Ju Song
- Department of Radiology, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea
| | - Youe Ree Kim
- Department of Radiology, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea
| | - Young Hwan Lee
- Department of Radiology, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea
| | - Eun Young Cho
- Department of Internal Medicine, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea
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Wang K, Zhang J, Wang J, Wang M, Yu Y. Role of multiparametric US in the preoperative assessment of hepatic parenchyma in patients with liver tumors. Abdom Radiol (NY) 2024:10.1007/s00261-024-04386-6. [PMID: 39152231 DOI: 10.1007/s00261-024-04386-6] [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: 04/18/2024] [Revised: 05/11/2024] [Accepted: 05/14/2024] [Indexed: 08/19/2024]
Abstract
OBJECTIVES The aim of this study was to evaluate the diagnostic performance of shear wave elastography (SWE), shear wave dispersion (SWD), and attenuation imaging (ATI) in assessment of hepatic parenchyma in patients with liver tumors before resection. METHODS Patients with liver tumors were prospectively enrolled in this study. All participants underwent SWE, SWD, and ATI examinations. Fibrosis stage, necroinflammatory activity and hepatic steatosis grade were determined histopathologically. We evaluated the stability of ATI, SWE and SWD examinations. Multivariable linear regression analyses were conducted to determine the determinant factors for SWE, SWD, attenuation coefficient (AC) values. A receiver operating characteristic (ROC) curve analysis was used to evaluate diagnostic performance of multiparametric US (ultrasond). RESULTS A total of 280 participants were enrolled in this study. TG (triglyceride) and steatosis for AC value were significant determinant factors. PLT (platelet), PT (prothrombin time), GGT (glutamyl transpeptidase), and fibrosis stage for SWE value were significant determinant factors. PLT, fibrosis stage and inflammation activity for SWD value were significant determinant factors. AC value was correlated with hepatic steatosis. Both SWE and SWD values were correlated with fibrosis stage, inflammation activity, respectively. The area under the ROC (AUROC) curve of ATI for predicting hepatic steatosis grade were 0.910(≥ S1), 0.927(≥ S2), 0.962(= S3), respectively. The AUROC curve of SWE for predicting fibrosis stage were 0.923(≥ S1), 0.934(≥ S2), 0.930(≥ S3), 0.895(= S4), respectively. The AUROC curve of SWD for predicting fibrosis stage were 0.858(≥ S1), 0.886(≥ S2), 0.866(≥ S1) (≥ S3), 0.825(= S4). The AUROC curve of SWE for predicting inflammation activity were 0.846(≥ G1), 0.724(≥ G2), 0.787 (≥ G3), respectively. The AUROC curve of SWD for predicting inflammation activity were 0.777(≥ G1), 0.727(≥ G2), 0.803 (≥ G3), respectively. CONCLUSIONS For patients with liver tumors, ATI technology showed excellent feasibility and diagnostic performance for detecting and grading hepatic steatosis, SWE was more accurate in detecting fibrosis stage than SWD, SWD was not superior to SWE in detecting inflammation activity.
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Affiliation(s)
- Kun Wang
- Department of Ultrasound, Binzhou Medical University Hospital, 2 Huanghe Road, Shixi District, Binzhou, 256600, China
| | - Jinqiao Zhang
- Department of Ultrasound, Binzhou Medical University Hospital, 2 Huanghe Road, Shixi District, Binzhou, 256600, China
| | - Jing Wang
- Department of Ultrasound, Binzhou Medical University Hospital, 2 Huanghe Road, Shixi District, Binzhou, 256600, China
| | - Min Wang
- Department of Ultrasound, Binzhou Medical University Hospital, 2 Huanghe Road, Shixi District, Binzhou, 256600, China
| | - Yanjie Yu
- Department of Ultrasound, Binzhou Medical University Hospital, 2 Huanghe Road, Shixi District, Binzhou, 256600, China.
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Hirooka M, Ogawa S, Koizumi Y, Yoshida Y, Goto T, Yasuda S, Yamahira M, Tamai T, Kuromatsu R, Matsuzaki T, Suehiro T, Kamada Y, Sumida Y, Hiasa Y, Toyoda H, Kumada T. iATT liver fat quantification for steatosis grading by referring to MRI proton density fat fraction: a multicenter study. J Gastroenterol 2024; 59:504-514. [PMID: 38553657 PMCID: PMC11128405 DOI: 10.1007/s00535-024-02096-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 03/03/2024] [Indexed: 05/27/2024]
Abstract
BACKGROUND Several preliminary reports have suggested the utility of ultrasound attenuation coefficient measurements based on B-mode ultrasound, such as iATT, for diagnosing steatotic liver disease. Nonetheless, evidence supporting such utility is lacking. This prospective study aimed to investigate whether iATT is highly concordant with magnetic resonance imaging (MRI)-based proton density fat fraction (MRI-PDFF) and could well distinguish between steatosis grades. METHODS A cohort of 846 individuals underwent both iATT and MRI-PDFF assessments. Steatosis grade was defined as grade 0 with MRI-PDFF < 5.2%, grade 1 with 5.2% MRI-PDFF < 11.3%, grade 2 with 11.3% MRI-PDFF < 17.1%, and grade 3 with MRI-PDFF of 17.1%. The reproducibility of iATT and MRI-PDFF was evaluated using the Bland-Altman analysis and intraclass correlation coefficients, whereas the diagnostic performance of each steatosis grade was examined using receiver operating characteristic analysis. RESULTS The Bland-Altman analysis indicated excellent reproducibility with minimal fixed bias between iATT and MRI-PDFF. The area under the curve for distinguishing steatosis grades 1, 2, and 3 were 0.887, 0.882, and 0.867, respectively. A skin-to-capsula distance of ≥ 25 mm was identified as the only significant factor causing the discrepancy. No interaction between MRI-logPDFF and MRE-LSM on iATT values was observed. CONCLUSIONS Compared to MRI-PDFF, iATT showed excellent diagnostic accuracy in grading steatosis. iATT could be used as a diagnostic tool instead of MRI in clinical practice and trials. Trial registration This study was registered in the UMIN Clinical Trials Registry (UMIN000047411).
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Affiliation(s)
- Masashi Hirooka
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
| | - Sadanobu Ogawa
- Department of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Japan
| | - Yohei Koizumi
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan
| | - Yuichi Yoshida
- Department of Gastroenterology and Hepatology, Suita Municipal Hospital, Suita, Japan
| | - Tatsuya Goto
- Department of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Japan
| | - Satoshi Yasuda
- Department of Gastroenterology, Ogaki Municipal Hospital, Ogaki, Japan
| | - Masahiro Yamahira
- Department of Clinical Laboratory Medicine, Suita Municipal Hospital, Suita, Japan
| | - Tsutomu Tamai
- Department of Gastroenterology, Kagoshima City Hospital, Kagoshima, Japan
| | - Ryoko Kuromatsu
- Division of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume, Japan
| | - Toshihisa Matsuzaki
- Department of Gastroenterology, Sasebo City General Hospital, Sasebo, Nagasaki, Japan
| | - Tomoyuki Suehiro
- Clinical Research Center, National Hospital Organization Nagasaki Medical Center, Omura, Nagasaki, Japan
| | - Yoshihiro Kamada
- Department of Advanced Metabolic Hepatology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yoshio Sumida
- Graduate School of Healthcare Management, International University of Healthcare and Welfare, Tokyo, Japan
| | - Yoichi Hiasa
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan
| | - Hidenori Toyoda
- Department of Gastroenterology, Ogaki Municipal Hospital, Ogaki, Japan
| | - Takashi Kumada
- Department of Nursing, Faculty of Nursing, Gifu Kyoritsu University, Ogaki, Japan
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Chan WK, Petta S, Noureddin M, Goh GBB, Wong VWS. Diagnosis and non-invasive assessment of MASLD in type 2 diabetes and obesity. Aliment Pharmacol Ther 2024; 59 Suppl 1:S23-S40. [PMID: 38813831 DOI: 10.1111/apt.17866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 09/24/2023] [Accepted: 12/26/2023] [Indexed: 05/31/2024]
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) is currently the most common chronic liver disease and an important cause of cirrhosis and hepatocellular carcinoma. It is strongly associated with type 2 diabetes and obesity. Because of the huge number of patients at risk of MASLD, it is imperative to use non-invasive tests appropriately. AIMS To provide a narrative review on the performance and limitations of non-invasive tests, with a special emphasis on the impact of diabetes and obesity. METHODS We searched PubMed and Cochrane databases for articles published from 1990 to August 2023. RESULTS Abdominal ultrasonography remains the primary method to diagnose hepatic steatosis, while magnetic resonance imaging proton density fat fraction is currently the gold standard to quantify steatosis. Simple fibrosis scores such as the Fibrosis-4 index are well suited as initial assessment in primary care and non-hepatology settings to rule out advanced fibrosis and future risk of liver-related complications. However, because of its low positive predictive value, an abnormal test should be followed by specific blood (e.g. Enhanced Liver Fibrosis score) or imaging biomarkers (e.g. vibration-controlled transient elastography and magnetic resonance elastography) of fibrosis. Some non-invasive tests of fibrosis appear to be less accurate in patients with diabetes. Obesity also affects the performance of abdominal ultrasonography and transient elastography, whereas magnetic resonance imaging may not be feasible in some patients with severe obesity. CONCLUSIONS This article highlights issues surrounding the clinical application of non-invasive tests for MASLD in patients with type 2 diabetes and obesity.
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Affiliation(s)
- Wah-Kheong Chan
- Gastroenterology and Hepatology Unit, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Salvatore Petta
- Sezione di Gastroenterologia, PROMISE, University of Palermo, Palermo, Italy
- Department of Economics and Statistics, University of Palermo, Palermo, Italy
| | - Mazen Noureddin
- Houston Methodist Hospital, Houston Research Institute, Houston, Texas, USA
| | - George Boon Bee Goh
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore
- Medicine Academic Clinical Program, Duke-NUS Medical School, Singapore
| | - Vincent Wai-Sun Wong
- Medical Data Analytics Centre, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- State Key Laboratory of Digestive Disease, Institute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
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Hobeika C, Ronot M, Guiu B, Ferraioli G, Iijima H, Tada T, Lee DH, Kuroda H, Lee YH, Lee JM, Kim SY, Cassinotto C, Maiocchi L, Raimondi A, Nishimura T, Kumada T, Kwon EY, Jang JK, Correas JM, Valla D, Vilgrain V, Dioguardi Burgio M. Ultrasound-based steatosis grading system using 2D-attenuation imaging: An individual patient data meta-analysis with external validation. Hepatology 2024:01515467-990000000-00856. [PMID: 38652643 DOI: 10.1097/hep.0000000000000895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 03/07/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND AND AIMS Noninvasive tools assessing steatosis, such as ultrasonography-based 2D-attenuation imaging (ATI), are needed to tackle the worldwide burden of steatotic liver disease. This one-stage individual patient data (IPD) meta-analysis aimed to create an ATI-based steatosis grading system. APPROACH AND RESULTS A systematic review (EMBASE + MEDLINE, 2018-2022) identified studies, including patients with histologically or magnetic resonance imaging proton-density fat fraction (MRI-PDFF)-verified ATI for grading steatosis (S0 to S3). One-stage IPD meta-analyses were conducted using generalized mixed models with a random study-specific intercept. Created ATI-based steatosis grading system (aS0 to aS3) was externally validated on a prospective cohort of patients with type 2 diabetes and metabolic dysfunction-associated steatotic liver disease (n=174, histologically and MRI-PDFF-verified steatosis). Eleven enrolled studies included 1374 patients, classified into S0, S1, S2, and S3 in 45.4%, 35.0%, 9.3%, and 10.3% of the cases. ATI was correlated with histological steatosis ( r = 0.60; 95% CI: 0.52, 0.67; p < 0.001) and MRI-PDFF ( r = 0.70; 95% CI: 0.66, 0.73; p < 0.001) but not with liver stiffness ( r = 0.03; 95% CI: -0.04, 0.11, p = 0.343). Steatosis grade was an independent factor associated with ATI (coefficient: 0.24; 95% CI: [0.22, 0.26]; p < 0.001). ATI marginal means within S0, S1, S2, and S3 subpopulations were 0.59 (95% CI: [0.58, 0.61]), 0.69 (95% CI [0.67, 0.71]), 0.78 (95% CI: [0.76, 0.81]), and 0.85 (95% CI: [0.83, 0.88]) dB/cm/MHz; all contrasts between grades were significant ( p < 0.0001). Three ATI thresholds were calibrated to create a new ATI-based steatosis grading system (aS0 to aS3, cutoffs: 0.66, 0.73, and 0.81 dB/cm/MHz). Its external validation showed Obuchowski measures of 0.84 ± 0.02 and 0.82 ± 0.02 with histologically based and MRI-PDFF-based references. CONCLUSIONS ATI is a reliable, noninvasive marker of steatosis. This validated ATI-based steatosis grading system could be valuable in assessing patients with metabolic dysfunction-associated steatotic liver disease.
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Affiliation(s)
- Christian Hobeika
- Department of HPB Surgery and Liver Transplantation, AP-HP, Hôpital Beaujon, Clichy, France
- Université Paris Cité, Inserm, CArcinose Péritoine Paris-Technologies, Paris, France
- Ajmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Maxime Ronot
- Department of Radiology, Hôpital Beaujon, AP-HP.Nord, Clichy, France
- Université Paris Cité, Inserm, Centre de recherche sur l'inflammation, Paris, France
| | - Boris Guiu
- Department of Radiology, St-Eloi University Hospital, Montpellier, France
| | - Giovanna Ferraioli
- Dipartimento di Scienze Clinico-Chirurgiche, Diagnostiche e Pediatriche, University of Pavia, Pavia, Italy
| | - Hiroko Iijima
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Hyogo Medical University, Hyogo, Japan
| | - Toshifumi Tada
- Department of Internal Medicine, Japanese Red Cross Society Himeji Hospital, Hyogo, Japan
| | - Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hidekatsu Kuroda
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Iwate Medical University, Iwate, Japan
| | - Young Hwan Lee
- Department of Radiology, Wonkwang University School of Medicine and Hospital, Iksan, Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea
| | - So Yeon Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | | | - Laura Maiocchi
- Ultrasound Unit, Dipartimento Servizi Diagnostici e per Immagini Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Ambra Raimondi
- Dipartimento di Scienze Clinico-Chirurgiche, Diagnostiche e Pediatriche, University of Pavia, Pavia, Italy
- Ultrasound Unit, Dipartimento Servizi Diagnostici e per Immagini Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Takashi Nishimura
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Hyogo Medical University, Hyogo, Japan
| | - Takashi Kumada
- Department of Nursing, Gifu Kyoritsu University, Gifu, Japan
| | - Eun Young Kwon
- Department of Radiology, Wonkwang University School of Medicine and Hospital, Iksan, Korea
| | - Jong Keon Jang
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jean-Michel Correas
- AP-HP, Hôpital Necker Enfants Malades, Service d'Imagerie Adulte, Paris, France
- Sorbonne Université, CNRS, INSERM Laboratoire d'Imagerie Biomédicale, Paris, France
| | - Dominique Valla
- Université Paris Cité, Inserm, Centre de recherche sur l'inflammation, Paris, France
- Service d'hépatologie, Hôpital Beaujon, Clichy, France
| | - Valérie Vilgrain
- Department of Radiology, Hôpital Beaujon, AP-HP.Nord, Clichy, France
- Université Paris Cité, Inserm, Centre de recherche sur l'inflammation, Paris, France
| | - Marco Dioguardi Burgio
- Department of Radiology, Hôpital Beaujon, AP-HP.Nord, Clichy, France
- Université Paris Cité, Inserm, Centre de recherche sur l'inflammation, Paris, France
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7
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Jia W, Xia S, Jia X, Tang B, Cheng S, Nie M, Guan L, Duan Y, Zhang M, Chen X, Zhang H, Bai B, Jia H, Li N, Yuan C, Cai E, Dong Y, Zhang J, Jia Y, Liu J, Tang Z, Luo T, Zhang X, Zhan W, Zhu Y, Zhou J. Ultrasound Viscosity Imaging in Breast Lesions: A Multicenter Prospective Study. Acad Radiol 2024:S1076-6332(24)00159-4. [PMID: 38582684 DOI: 10.1016/j.acra.2024.03.017] [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: 11/27/2023] [Revised: 02/16/2024] [Accepted: 03/17/2024] [Indexed: 04/08/2024]
Abstract
RATIONALE AND OBJECTIVES To explore and validate the clinical value of ultrasound (US) viscosity imaging in differentiating breast lesions by combining with BI-RADS, and then comparing the diagnostic performances with BI-RADS alone. MATERIALS AND METHODS This multicenter, prospective study enrolled participants with breast lesions from June 2021 to November 2022. A development cohort (DC) and validation cohort (VC) were established. Using histological results as reference standard, the viscosity-related parameter with the highest area under the receiver operating curve (AUC) was selected as the optimal one. Then the original BI-RADS would upgrade or not based on the value of this parameter. Finally, the results were validated in the VC and total cohorts. In the DC, VC and total cohorts, all breast lesions were divided into the large lesion, small lesion and overall groups respectively. RESULTS A total of 639 participants (mean age, 46 years ± 14) with 639 breast lesions (372 benign and 267 malignant lesions) were finally enrolled in this study including 392 participants in the DC and 247 in the VC. In the DC, the optimal viscosity-related parameter in differentiating breast lesions was calculated to be A'-S2-Vmax, with the AUC of 0.88 (95% CI: 0.84, 0.91). Using > 9.97 Pa.s as the cutoff value, the BI-RADS was then modified. The AUC of modified BI-RADS significantly increased from 0.85 (95% CI: 0.81, 0.88) to 0.91 (95% CI: 0.87, 0.93), 0.85 (95% CI: 0.80, 0.89) to 0.90 (95% CI: 0.85, 0.93) and 0.85 (95% CI: 0.82, 0.87) to 0.90 (95% CI: 0.88, 0.92) in the DC, VC and total cohorts respectively (P < .05 for all). CONCLUSION The quantitative viscous parameters evaluated by US viscosity imaging contribute to breast cancer diagnosis when combined with BI-RADS.
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Affiliation(s)
- WanRu Jia
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China; College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - ShuJun Xia
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China; College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - XiaoHong Jia
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China
| | - BingHui Tang
- Department of Ultrasound, Nanchang People's Hospital, Nanchang, Jiangxi Province 330000, China
| | - ShuZhen Cheng
- Department of Ultrasound, Nanchang People's Hospital, Nanchang, Jiangxi Province 330000, China
| | - MeiYuan Nie
- Department of Ultrasound, Nanchang People's Hospital, Nanchang, Jiangxi Province 330000, China
| | - Ling Guan
- Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, Gansu Province, China
| | - Ying Duan
- Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, Gansu Province, China
| | - MengYan Zhang
- Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, Gansu Province, China
| | - Xia Chen
- Department of Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China
| | - Hui Zhang
- Department of Ultrasound, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang Province, China
| | - BaoYan Bai
- Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, Shaanxi Province, China
| | - HaiYun Jia
- Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, Shaanxi Province, China
| | - Ning Li
- Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, No.2 Ganghenan Road, Anning, Yunnan Province 650330, China
| | - CongCong Yuan
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China
| | - EnHeng Cai
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China
| | - YiJie Dong
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China; College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - JingWen Zhang
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China
| | - Yi Jia
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China
| | - Juan Liu
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China
| | - ZhenYun Tang
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China
| | - Ting Luo
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China
| | - XiaoXiao Zhang
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China
| | - WeiWei Zhan
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China; College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ying Zhu
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China; College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - JianQiao Zhou
- Department of Ultrasound, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197 Ruijin 2nd Road, 200025 Shanghai, China; College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
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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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9
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Kijanka P, Vasconcelos L, Mandrekar J, Urban MW. Evaluation of Robustness of S-Transform Based Phase Velocity Estimation in Viscoelastic Phantoms and Renal Transplants. IEEE Trans Biomed Eng 2024; 71:954-966. [PMID: 37824308 PMCID: PMC10947612 DOI: 10.1109/tbme.2023.3323983] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
Ultrasound shear wave elastography (SWE) methods are being used to differentiate healthy versus diseased tissue on the basis of their viscoelastic mechanical properties. Tissue viscoelasticity is often studied by analyzing shear wave phase velocity dispersion curves, which is the variation of phase velocity with frequency or wavelength. Recently, a unique approach using a generalized Stockwell transformation (GST-SFK) was proposed for the calculation of dispersion curves in viscoelastic media over expanded frequency band. In this work, the method's robustness was evaluated on data from five custom-made viscoelastic tissue-mimicking phantoms and sixty in vivo renal transplants. For each phantom, 15 shear wave motion data acquisitions were taken, while 10-13 acquisitions were acquired for renal transplants measured in the renal cortex. For each data-set mean and standard deviation (SD) of estimated phase velocity dispersion curves were studied. In addition, the viscoelastic parameters of the Zener model were examined, which were preceded by a convergence analysis. For viscoelastic phantoms scanned with a research ultrasound scanner, and for the in vivo renal transplants scanned with a clinical scanner, the decisive advantage of the GST-SFK method over the standard two-dimensional Fourier transform (2D-FT) method was shown. The GST-SFK method provided dispersion curve estimates with lower SD over a wider frequency band in comparison to the 2D-FT method. These advantages are relevant to the analysis of the mechanical properties of tissues in clinical practice to discriminate healthy from diseased tissue.
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10
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Ozturk A, Kumar V, Pierce TT, Li Q, Baikpour M, Rosado-Mendez I, Wang M, Guo P, Schoen S, Gu Y, Dayavansha S, Grajo JR, Samir AE. The Future Is Beyond Bright: The Evolving Role of Quantitative US for Fatty Liver Disease. Radiology 2023; 309:e223146. [PMID: 37934095 PMCID: PMC10695672 DOI: 10.1148/radiol.223146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a common cause of morbidity and mortality. Nonfocal liver biopsy is the historical reference standard for evaluating NAFLD, but it is limited by invasiveness, high cost, and sampling error. Imaging methods are ideally situated to provide quantifiable results and rule out other anatomic diseases of the liver. MRI and US have shown great promise for the noninvasive evaluation of NAFLD. US is particularly well suited to address the population-level problem of NAFLD because it is lower-cost, more available, and more tolerable to a broader range of patients than MRI. Noninvasive US methods to evaluate liver fibrosis are widely available, and US-based tools to evaluate steatosis and inflammation are gaining traction. US techniques including shear-wave elastography, Doppler spectral imaging, attenuation coefficient, hepatorenal index, speed of sound, and backscatter-based estimation have regulatory clearance and are in clinical use. New methods based on channel and radiofrequency data analysis approaches have shown promise but are mostly experimental. This review discusses the advantages and limitations of clinically available and experimental approaches to sonographic liver tissue characterization for NAFLD diagnosis as well as future applications and strategies to overcome current limitations.
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Affiliation(s)
- Arinc Ozturk
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Viksit Kumar
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Theodore T Pierce
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Qian Li
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Masoud Baikpour
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Ivan Rosado-Mendez
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Michael Wang
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Peng Guo
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Scott Schoen
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Yuyang Gu
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Sunethra Dayavansha
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Joseph R Grajo
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
| | - Anthony E Samir
- From the Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, 101 Merrimac St, 3rd Floor, 323G, Boston, MA 02114 (A.O., V.K., T.T.P., Q.L., M.B., P.G., S.S., Y.G., S.D., A.E.S.); Harvard Medical School, Boston, Mass (A.O., V.K., T.T.P, Q.L., A.E.S.); Departments of Medical Physics and Radiology, University of Wisconsin, Madison, Wis (I.R.M.); GE HealthCare, Milwaukee, Wis (M.W.); and Department of Radiology, University of Florida, Gainesville, Fla (J.R.G.)
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11
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Li J, Lu X, Zhu Z, Kalutkiewicz KJ, Mounajjed T, Therneau TM, Venkatesh SK, Sui Y, Glaser KJ, Hoodeshenas S, Manduca A, Shah VH, Ehman RL, Allen AM, Yin M. Head-to-head comparison of magnetic resonance elastography-based liver stiffness, fat fraction, and T1 relaxation time in identifying at-risk NASH. Hepatology 2023; 78:1200-1208. [PMID: 37080558 PMCID: PMC10521779 DOI: 10.1097/hep.0000000000000417] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 03/14/2023] [Accepted: 03/24/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND AND AIMS The presence of at-risk NASH is associated with an increased risk of cirrhosis and complications. Therefore, noninvasive identification of at-risk NASH with an accurate biomarker is a critical need for pharmacologic therapy. We aim to explore the performance of several magnetic resonance (MR)-based imaging parameters in diagnosing at-risk NASH. APPROACH AND RESULTS This prospective clinical trial (NCT02565446) includes 104 paired MR examinations and liver biopsies performed in patients with suspected or diagnosed NAFLD. Magnetic resonance elastography-assessed liver stiffness (LS), 6-point Dixon-derived proton density fat fraction (PDFF), and single-point saturation-recovery acquisition-calculated T1 relaxation time were explored. Among all predictors, LS showed the significantly highest accuracy in diagnosing at-risk NASH [AUC LS : 0.89 (0.82, 0.95), AUC PDFF : 0.70 (0.58, 0.81), AUC T1 : 0.72 (0.61, 0.82), z -score test z >1.96 for LS vs any of others]. The optimal cutoff value of LS to identify at-risk NASH patients was 3.3 kPa (sensitivity: 79%, specificity: 82%, negative predictive value: 91%), whereas the optimal cutoff value of T1 was 850 ms (sensitivity: 75%, specificity: 63%, and negative predictive value: 87%). PDFF had the highest performance in diagnosing NASH with any fibrosis stage [AUC PDFF : 0.82 (0.72, 0.91), AUC LS : 0.73 (0.63, 0.84), AUC T1 : 0.72 (0.61, 0.83), |z| <1.96 for all]. CONCLUSION Magnetic resonance elastography-assessed LS alone outperformed PDFF, and T1 in identifying patients with at-risk NASH for therapeutic trials.
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Affiliation(s)
- Jiahui Li
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Xin Lu
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zheng Zhu
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Taofic Mounajjed
- Division of Anatomic Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Terry M. Therneau
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Yi Sui
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Kevin J. Glaser
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Armando Manduca
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Vijay H. Shah
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Alina M. Allen
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Meng Yin
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
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12
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Taru MG, Lupsor-Platon M. Exploring Opportunities to Enhance the Screening and Surveillance of Hepatocellular Carcinoma in Non-Alcoholic Fatty Liver Disease (NAFLD) through Risk Stratification Algorithms Incorporating Ultrasound Elastography. Cancers (Basel) 2023; 15:4097. [PMID: 37627125 PMCID: PMC10452922 DOI: 10.3390/cancers15164097] [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: 07/11/2023] [Revised: 08/08/2023] [Accepted: 08/11/2023] [Indexed: 08/27/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD), with its progressive form, non-alcoholic steatohepatitis (NASH), has emerged as a significant public health concern, affecting over 30% of the global population. Hepatocellular carcinoma (HCC), a complication associated with both cirrhotic and non-cirrhotic NAFLD, has shown a significant increase in incidence. A substantial proportion of NAFLD-related HCC occurs in non-cirrhotic livers, highlighting the need for improved risk stratification and surveillance strategies. This comprehensive review explores the potential role of liver ultrasound elastography as a risk assessment tool for HCC development in NAFLD and highlights the importance of effective screening tools for early, cost-effective detection and improved management of NAFLD-related HCC. The integration of non-invasive tools and algorithms into risk stratification strategies could have the capacity to enhance NAFLD-related HCC screening and surveillance effectiveness. Alongside exploring the potential advancement of non-invasive tools and algorithms for effectively stratifying HCC risk in NAFLD, we offer essential perspectives that could enable readers to improve the personalized assessment of NAFLD-related HCC risk through a more methodical screening approach.
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Affiliation(s)
- Madalina-Gabriela Taru
- Hepatology Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania;
- “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Monica Lupsor-Platon
- “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Medical Imaging Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
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13
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Fetzer DT, Pierce TT, Robbin ML, Cloutier G, Mufti A, Hall TJ, Chauhan A, Kubale R, Tang A. US Quantification of Liver Fat: Past, Present, and Future. Radiographics 2023; 43:e220178. [PMID: 37289646 DOI: 10.1148/rg.220178] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Fatty liver disease has a high and increasing prevalence worldwide, is associated with adverse cardiovascular events and higher long-term medical costs, and may lead to liver-related morbidity and mortality. There is an urgent need for accurate, reproducible, accessible, and noninvasive techniques appropriate for detecting and quantifying liver fat in the general population and for monitoring treatment response in at-risk patients. CT may play a potential role in opportunistic screening, and MRI proton-density fat fraction provides high accuracy for liver fat quantification; however, these imaging modalities may not be suited for widespread screening and surveillance, given the high global prevalence. US, a safe and widely available modality, is well positioned as a screening and surveillance tool. Although well-established qualitative signs of liver fat perform well in moderate and severe steatosis, these signs are less reliable for grading mild steatosis and are likely unreliable for detecting subtle changes over time. New and emerging quantitative biomarkers of liver fat, such as those based on standardized measurements of attenuation, backscatter, and speed of sound, hold promise. Evolving techniques such as multiparametric modeling, radiofrequency envelope analysis, and artificial intelligence-based tools are also on the horizon. The authors discuss the societal impact of fatty liver disease, summarize the current state of liver fat quantification with CT and MRI, and describe past, currently available, and potential future US-based techniques for evaluating liver fat. For each US-based technique, they describe the concept, measurement method, advantages, and limitations. © RSNA, 2023 Online supplemental material is available for this article. Quiz questions for this article are available through the Online Learning Center.
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Affiliation(s)
- David T Fetzer
- From the Department of Radiology (D.T.F.) and Department of Internal Medicine, Division of Digestive and Liver Diseases (A.M.), UT Southwestern Medical Center, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390-9316; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (T.T.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Departments of Radiology and Biomedical Engineering, Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital Research Center, Montréal, Quebec, Canada (G.C.); Department of Medical Physics, University of Wisconsin, Madison, Wis (T.J.H.); Department of Radiology, University of Kansas Medical Center, Kansas City, Kan (A.C.); Department of Diagnostic and Interventional Radiology, University Hospital Homburg/Saar, Homburg, Germany (R.K.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM) and Université de Montréal, Montréal, Quebec, Canada (A.T.)
| | - Theodore T Pierce
- From the Department of Radiology (D.T.F.) and Department of Internal Medicine, Division of Digestive and Liver Diseases (A.M.), UT Southwestern Medical Center, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390-9316; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (T.T.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Departments of Radiology and Biomedical Engineering, Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital Research Center, Montréal, Quebec, Canada (G.C.); Department of Medical Physics, University of Wisconsin, Madison, Wis (T.J.H.); Department of Radiology, University of Kansas Medical Center, Kansas City, Kan (A.C.); Department of Diagnostic and Interventional Radiology, University Hospital Homburg/Saar, Homburg, Germany (R.K.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM) and Université de Montréal, Montréal, Quebec, Canada (A.T.)
| | - Michelle L Robbin
- From the Department of Radiology (D.T.F.) and Department of Internal Medicine, Division of Digestive and Liver Diseases (A.M.), UT Southwestern Medical Center, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390-9316; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (T.T.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Departments of Radiology and Biomedical Engineering, Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital Research Center, Montréal, Quebec, Canada (G.C.); Department of Medical Physics, University of Wisconsin, Madison, Wis (T.J.H.); Department of Radiology, University of Kansas Medical Center, Kansas City, Kan (A.C.); Department of Diagnostic and Interventional Radiology, University Hospital Homburg/Saar, Homburg, Germany (R.K.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM) and Université de Montréal, Montréal, Quebec, Canada (A.T.)
| | - Guy Cloutier
- From the Department of Radiology (D.T.F.) and Department of Internal Medicine, Division of Digestive and Liver Diseases (A.M.), UT Southwestern Medical Center, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390-9316; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (T.T.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Departments of Radiology and Biomedical Engineering, Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital Research Center, Montréal, Quebec, Canada (G.C.); Department of Medical Physics, University of Wisconsin, Madison, Wis (T.J.H.); Department of Radiology, University of Kansas Medical Center, Kansas City, Kan (A.C.); Department of Diagnostic and Interventional Radiology, University Hospital Homburg/Saar, Homburg, Germany (R.K.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM) and Université de Montréal, Montréal, Quebec, Canada (A.T.)
| | - Arjmand Mufti
- From the Department of Radiology (D.T.F.) and Department of Internal Medicine, Division of Digestive and Liver Diseases (A.M.), UT Southwestern Medical Center, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390-9316; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (T.T.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Departments of Radiology and Biomedical Engineering, Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital Research Center, Montréal, Quebec, Canada (G.C.); Department of Medical Physics, University of Wisconsin, Madison, Wis (T.J.H.); Department of Radiology, University of Kansas Medical Center, Kansas City, Kan (A.C.); Department of Diagnostic and Interventional Radiology, University Hospital Homburg/Saar, Homburg, Germany (R.K.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM) and Université de Montréal, Montréal, Quebec, Canada (A.T.)
| | - Timothy J Hall
- From the Department of Radiology (D.T.F.) and Department of Internal Medicine, Division of Digestive and Liver Diseases (A.M.), UT Southwestern Medical Center, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390-9316; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (T.T.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Departments of Radiology and Biomedical Engineering, Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital Research Center, Montréal, Quebec, Canada (G.C.); Department of Medical Physics, University of Wisconsin, Madison, Wis (T.J.H.); Department of Radiology, University of Kansas Medical Center, Kansas City, Kan (A.C.); Department of Diagnostic and Interventional Radiology, University Hospital Homburg/Saar, Homburg, Germany (R.K.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM) and Université de Montréal, Montréal, Quebec, Canada (A.T.)
| | - Anil Chauhan
- From the Department of Radiology (D.T.F.) and Department of Internal Medicine, Division of Digestive and Liver Diseases (A.M.), UT Southwestern Medical Center, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390-9316; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (T.T.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Departments of Radiology and Biomedical Engineering, Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital Research Center, Montréal, Quebec, Canada (G.C.); Department of Medical Physics, University of Wisconsin, Madison, Wis (T.J.H.); Department of Radiology, University of Kansas Medical Center, Kansas City, Kan (A.C.); Department of Diagnostic and Interventional Radiology, University Hospital Homburg/Saar, Homburg, Germany (R.K.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM) and Université de Montréal, Montréal, Quebec, Canada (A.T.)
| | - Reinhard Kubale
- From the Department of Radiology (D.T.F.) and Department of Internal Medicine, Division of Digestive and Liver Diseases (A.M.), UT Southwestern Medical Center, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390-9316; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (T.T.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Departments of Radiology and Biomedical Engineering, Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital Research Center, Montréal, Quebec, Canada (G.C.); Department of Medical Physics, University of Wisconsin, Madison, Wis (T.J.H.); Department of Radiology, University of Kansas Medical Center, Kansas City, Kan (A.C.); Department of Diagnostic and Interventional Radiology, University Hospital Homburg/Saar, Homburg, Germany (R.K.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM) and Université de Montréal, Montréal, Quebec, Canada (A.T.)
| | - An Tang
- From the Department of Radiology (D.T.F.) and Department of Internal Medicine, Division of Digestive and Liver Diseases (A.M.), UT Southwestern Medical Center, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390-9316; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (T.T.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Departments of Radiology and Biomedical Engineering, Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital Research Center, Montréal, Quebec, Canada (G.C.); Department of Medical Physics, University of Wisconsin, Madison, Wis (T.J.H.); Department of Radiology, University of Kansas Medical Center, Kansas City, Kan (A.C.); Department of Diagnostic and Interventional Radiology, University Hospital Homburg/Saar, Homburg, Germany (R.K.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM) and Université de Montréal, Montréal, Quebec, Canada (A.T.)
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14
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Garcovich M, Paratore M, Ainora ME, Riccardi L, Pompili M, Gasbarrini A, Zocco MA. Shear Wave Dispersion in Chronic Liver Disease: From Physical Principles to Clinical Usefulness. J Pers Med 2023; 13:945. [PMID: 37373934 DOI: 10.3390/jpm13060945] [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: 04/30/2023] [Revised: 05/30/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
The development of new applications in ultrasound (US) imaging in recent years has strengthened the role of this imaging technique in the management of different pathologies, particularly in the setting of liver disease. Improved B-mode imaging (3D and 4D), contrast-enhanced US (CEUS) and especially US-based elastography techniques have created the concept of multiparametric ultrasound (MP-US), a term borrowed from radiological sectional imaging. Among the new elastography techniques, shear wave dispersion is a newly developed imaging technology which enables the assessment of the shear waves' dispersion slope. The analysis of the dispersion qualities of shear waves might be indirectly related to the tissue viscosity, thus providing biomechanical information concerning the pathologic state of the liver such as necroinflammation. Some of the most recent US devices have been embedded with software that evaluate the dispersion of shear waves/liver viscosity. In this review, the feasibility and the clinical applications of liver viscosity are reviewed based on the preliminary findings of both animal and human studies.
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Affiliation(s)
- Matteo Garcovich
- Medicina Interna e Gastroenterologia, CEMAD Digestive Disease Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Mattia Paratore
- Medicina Interna e Gastroenterologia, CEMAD Digestive Disease Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Maria Elena Ainora
- Medicina Interna e Gastroenterologia, CEMAD Digestive Disease Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Laura Riccardi
- Medicina Interna e Gastroenterologia, CEMAD Digestive Disease Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Maurizio Pompili
- Università Cattolica del Sacro Cuore, Largo A. Gemelli 8, 00168 Rome, Italy
- Medicina Interna e del Trapianto di Fegato, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Antonio Gasbarrini
- Medicina Interna e Gastroenterologia, CEMAD Digestive Disease Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
- Università Cattolica del Sacro Cuore, Largo A. Gemelli 8, 00168 Rome, Italy
| | - Maria Assunta Zocco
- Medicina Interna e Gastroenterologia, CEMAD Digestive Disease Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, Italy
- Università Cattolica del Sacro Cuore, Largo A. Gemelli 8, 00168 Rome, Italy
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15
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Sugimoto K, Lee DH, Itoi T. Response to "Limitations of a Multiparametric US Score for NASH Prediction". Radiology 2023; 306:e221498. [PMID: 36255310 DOI: 10.1148/radiol.221498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Katsutoshi Sugimoto
- Department of Gastroenterology and Hepatology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 160-0023, Japan
| | - Dong Ho Lee
- Department of Radiology, Seoul National University, Seoul, Korea
| | - Takao Itoi
- Department of Gastroenterology and Hepatology, Tokyo Medical University, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo 160-0023, Japan
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16
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Taru MG, Neamti L, Taru V, Procopciuc LM, Procopet B, Lupsor-Platon M. How to Identify Advanced Fibrosis in Adult Patients with Non-Alcoholic Fatty Liver Disease (NAFLD) and Non-Alcoholic Steatohepatitis (NASH) Using Ultrasound Elastography-A Review of the Literature and Proposed Multistep Approach. Diagnostics (Basel) 2023; 13:diagnostics13040788. [PMID: 36832276 PMCID: PMC9955630 DOI: 10.3390/diagnostics13040788] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD), and its progressive form, non-alcoholic steatohepatitis (NASH), represent, nowadays, real challenges for the healthcare system. Liver fibrosis is the most important prognostic factor for NAFLD, and advanced fibrosis is associated with higher liver-related mortality rates. Therefore, the key issues in NAFLD are the differentiation of NASH from simple steatosis and identification of advanced hepatic fibrosis. We critically reviewed the ultrasound (US) elastography techniques for the quantitative characterization of fibrosis, steatosis, and inflammation in NAFLD and NASH, with a specific focus on how to differentiate advanced fibrosis in adult patients. Vibration-controlled transient elastography (VCTE) is still the most utilized and validated elastography method for liver fibrosis assessment. The recently developed point shear wave elastography (pSWE) and two-dimensional shear wave elastography (2D-SWE) techniques that use multiparametric approaches could bring essential improvements to diagnosis and risk stratification.
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Affiliation(s)
- Madalina-Gabriela Taru
- Hepatology Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Department of Medical and Surgical Sciences, University of Bologna, 40126 Bologna, Italy
| | - Lidia Neamti
- Hepatology Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Vlad Taru
- Hepatology Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, 1090 Vienna, Austria
- Christian Doppler Lab for Portal Hypertension and Liver Fibrosis, Medical University of Vienna, 1090 Vienna, Austria
| | - Lucia Maria Procopciuc
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Bogdan Procopet
- Hepatology Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
| | - Monica Lupsor-Platon
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
- Medical Imaging Department, Regional Institute of Gastroenterology and Hepatology “Octavian Fodor”, 400162 Cluj-Napoca, Romania
- Correspondence:
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17
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Hirooka M, Koizumi Y, Nakamura Y, Yano R, Okazaki Y, Sunago K, Imai Y, Watanabe T, Yoshida O, Tokumoto Y, Abe M, Hiasa Y. Spleen stiffness in patients with chronic liver disease evaluated by 2-D shear wave elastography with ultrasound multiparametric imaging. Hepatol Res 2023; 53:93-103. [PMID: 36149642 DOI: 10.1111/hepr.13841] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Revised: 08/30/2022] [Accepted: 09/11/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND The novel 2-D shear wave elastography (2D-SWE) can measure two ultrasound parameters: shear wave dispersion (SWD) and shear wave speed (SWS). We investigated the ability of 2D-SWE in measuring spleen stiffness using ultrasound multiparametric imaging. METHODS This cross-sectional study included patients with chronic liver disease who underwent esophagogastroduodenoscopy and ultrasonographic examinations of the spleen between September 2018 and December 2021. In total, 157 patients were enrolled in this study: 81 and 67 patients were included in the pilot set for hepatic venous pressure gradient (HVPG) measurements and validation cohort without HVPG measurements, respectively. To confirm reproducibility between the two examiners, an additional 30 patients were enrolled. RESULTS The Bland-Altman plots revealed no significant bias in the SWD as measured by two examiners. The splenic SWS (r = 0.752) and SWD (r = 0.444) were correlated with the HVPG. Regarding high-risk varices, as per the Youden index, the cut-off value for splenic SWS was 3.30 m/s, with a sensitivity of 85.7%, specificity of 92.5%, positive predictive value of 85.7%, and negative predictive value of 92.4% in the pilot set. In the validation set, good diagnostic performance by the splenic SWS was observed. However, SWD did not perform as well as SWS. CONCLUSIONS The splenic SWS, measured using ultrasound multiparametric imaging, was closely correlated with the HVPG. Thus, SWS is a useful predictive marker for high-risk varices.
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Affiliation(s)
- Masashi Hirooka
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Yohei Koizumi
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Yoshiko Nakamura
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Ryo Yano
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Yuki Okazaki
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Koutarou Sunago
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Yusuke Imai
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Takao Watanabe
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Osamu Yoshida
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Yoshio Tokumoto
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Masanori Abe
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
| | - Yoichi Hiasa
- Department of Gastroenterology and Metabology, Ehime University Graduate School of Medicine, Toon, Japan
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18
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Jeon SK, Lee JM, Joo I, Yoon JH, Lee G. Two-dimensional Convolutional Neural Network Using Quantitative US for Noninvasive Assessment of Hepatic Steatosis in NAFLD. Radiology 2023; 307:e221510. [PMID: 36594835 DOI: 10.1148/radiol.221510] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background Quantitative US (QUS) using radiofrequency data analysis has been recently introduced for noninvasive evaluation of hepatic steatosis. Deep learning algorithms may improve the diagnostic performance of QUS for hepatic steatosis. Purpose To evaluate a two-dimensional (2D) convolutional neural network (CNN) algorithm using QUS parametric maps and B-mode images for diagnosis of hepatic steatosis, with the MRI-derived proton density fat fraction (PDFF) as the reference standard, in patients with nonalcoholic fatty liver disease (NAFLD). Materials and Methods: Consecutive adult participants with suspected NAFLD were prospectively enrolled at a single academic medical center from July 2020 to June 2021. Using radiofrequency data analysis, two QUS parameters (tissue attenuation imaging [TAI] and tissue scatter-distribution imaging [TSI]) were measured. On B-mode images, hepatic steatosis was graded using visual scoring (none, mild, moderate, or severe). Using B-mode images and two QUS parametric maps (TAI and TSI) as input data, the algorithm estimated the US fat fraction (USFF) as a percentage. The correlation between the USFF and MRI PDFF was evaluated using the Pearson correlation coefficient. The diagnostic performance of the USFF for hepatic steatosis (MRI PDFF ≥5%) was evaluated using receiver operating characteristic curve analysis and compared with that of TAI, TSI, and visual scoring. Results Overall, 173 participants (mean age, 51 years ± 14 [SD]; 96 men) were included, with 126 (73%) having hepatic steatosis (MRI PDFF ≥5%). USFF correlated strongly with MRI PDFF (Pearson r = 0.86, 95% CI: 0.82, 0.90; P < .001). For diagnosing hepatic steatosis (MRI PDFF ≥5%), the USFF yielded an area under the receiver operating characteristic curve of 0.97 (95% CI: 0.93, 0.99), higher than those of TAI, TSI, and visual scoring (P = .015, .006, and < .001, respectively), with a sensitivity of 90% (95% CI: 84, 95 [114 of 126]) and a specificity of 91% (95% CI: 80, 98 [43 of 47]) at a cutoff value of 5.7%. Conclusion A deep learning algorithm using quantitative US parametric maps and B-mode images accurately estimated the hepatic fat fraction and diagnosed hepatic steatosis in participants with nonalcoholic fatty liver disease. ClinicalTrials.gov registration nos. NCT04462562, NCT04180631 © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Sidhu and Fang in this issue.
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Affiliation(s)
- Sun Kyung Jeon
- From the Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Korea (S.K.J., J.M.L., I.J., J.H.Y.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.L.); and Ultrasound R&D 2 Group, Health & Medical Equipment Business, Samsung Electronics Co, Ltd, Seoul, Korea (G.L.)
| | - Jeong Min Lee
- From the Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Korea (S.K.J., J.M.L., I.J., J.H.Y.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.L.); and Ultrasound R&D 2 Group, Health & Medical Equipment Business, Samsung Electronics Co, Ltd, Seoul, Korea (G.L.)
| | - Ijin Joo
- From the Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Korea (S.K.J., J.M.L., I.J., J.H.Y.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.L.); and Ultrasound R&D 2 Group, Health & Medical Equipment Business, Samsung Electronics Co, Ltd, Seoul, Korea (G.L.)
| | - Jeong Hee Yoon
- From the Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Korea (S.K.J., J.M.L., I.J., J.H.Y.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.L.); and Ultrasound R&D 2 Group, Health & Medical Equipment Business, Samsung Electronics Co, Ltd, Seoul, Korea (G.L.)
| | - Gunwoo Lee
- From the Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Korea (S.K.J., J.M.L., I.J., J.H.Y.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.L.); and Ultrasound R&D 2 Group, Health & Medical Equipment Business, Samsung Electronics Co, Ltd, Seoul, Korea (G.L.)
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19
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Kim JH, Yoon JH, Joo I, Lee JM. Intra-individual comparison of twodimensional shear wave elastography techniques using plane wave imaging and the multi-beam technique: are they interchangeable in measuring liver fibrosis? Ultrasonography 2022; 42:265-274. [PMID: 36935597 PMCID: PMC10071060 DOI: 10.14366/usg.22135] [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: 08/09/2022] [Accepted: 12/09/2022] [Indexed: 12/24/2022] Open
Abstract
PURPOSE This study compared two different two-dimensional shear wave elastography techniques-plane wave imaging (PWI) and multi-beam (MB) imaging-from the same vendor to evaluate liver fibrosis. METHODS In this prospective study, 42 patients with chronic liver disease who had recently undergone magnetic resonance elastography (<3 months) were enrolled, and their liver stiffness (LS) values were measured using PWI or MB. The LS values (kPa) were compared using the Wilcoxon rank-sum test. Inter-technique reproducibility and intra-observer repeatability were assessed using Bland-Altman analysis with 95% limits of agreement (LOA) and coefficients of variation (CVs). The cutoff values for predicting severe fibrosis (≥F3) were estimated using receiver operating characteristic curve (ROC) analysis, with magnetic resonance elastography as the reference standard. RESULTS PWI exhibited technical failure in four patients. Therefore, 38 patients underwent both examinations. The LS values showed moderate agreement between PWI and MB (CV, 22.5%) and 95% LOA of -3.71 to 7.44 kPa. The MB technique showed good intra-observer agreement (CV, 8.1%), while PWI showed moderate agreement (CV, 11.0%). The cutoff values of PWI and MB for diagnosing ≥F3 were 12.3 kPa and 13.8 kPa, respectively, with areas under the ROC curve of 0.89 and 0.95 (sensitivity, 100% and 100%; specificity, 65.6% and 85.7%). CONCLUSION The LS values significantly differed between PWI and MB, hindering their interchangeable use in longitudinal follow-up. Considering its low technical failure rate and better repeatability, the MB technique may be preferable for evaluating liver fibrosis in chronic liver disease patients.
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Affiliation(s)
- Jae Hyun Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
| | - Ijin Joo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Department of Radiology, Seoul National University College of Medicine, 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
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20
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Naganuma H, Ishida H. Factors other than fibrosis that increase measured shear wave velocity. World J Gastroenterol 2022; 28:6512-6521. [PMID: 36569278 PMCID: PMC9782834 DOI: 10.3748/wjg.v28.i46.6512] [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: 09/14/2022] [Revised: 10/27/2022] [Accepted: 11/21/2022] [Indexed: 12/08/2022] Open
Abstract
Shear wave elastography (SWE) is now becoming an indispensable diagnostic tool in the routine examination of liver diseases. In particular, accuracy is required for shear wave propagation velocity measurement, which is directly related to diagnostic accuracy. It is generally accepted that the liver shear wave propagation velocity reflects the degree of fibrosis, but there are still few reports on other factors that increase the shear wave propagation velocity. In this study, we reviewed such factors in the literature and examined their mechanisms. Current SWE measures propagation velocity based on the assumption that the medium has a homogeneous structure, uniform density, and is purely elastic. Otherwise, the measurement is subject to error. The other (confounding) factors that we routinely experience are primarily: (1) Conditions that appear to increase the viscous component; and (2) Conditions that appear to increase tissue density. Clinically, the former includes acute hepatitis, congested liver, biliary obstruction, etc, and the latter includes diffuse infiltration of malignant cells, various storage diseases, tissue necrosis, etc. In any case, it is important to evaluate SWE in the context of the entire clinical picture.
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Affiliation(s)
- Hiroko Naganuma
- Department of Gastroenterology, Yokote Municipal Hospital, Yokote 013-8602, Japan
| | - Hideaki Ishida
- Department of Gastroenterology, Akita Red Cross Hospital, Akita 010-1495, Japan
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21
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Kong W, Tang Y, Liu L, Zhang G, Liu Y, Liu J. Stratifying Non-alcoholic Steatohepatitis With the Non-invasive Ultrasound Markers Shear Wave Dispersion Slope and Shear Wave Velocity: An Animal Study. ULTRASOUND IN MEDICINE & BIOLOGY 2022; 48:2442-2448. [PMID: 36096895 DOI: 10.1016/j.ultrasmedbio.2022.06.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 06/28/2022] [Accepted: 06/29/2022] [Indexed: 06/15/2023]
Abstract
We evaluated the significance of the ultrasound (US) markers shear wave dispersion slope (SWDS) and shear wave velocity (SWV) for identification of non-alcoholic steatohepatitis (NASH) and high-risk NASH; the latter was defined as the presence of steatohepatitis, a non-alcoholic fatty liver disease activity score (NAS) ≥4 or a fibrosis stage ≥2. Thirty-six male Sprague-Dawley (SD) rats were assigned to two groups: the study (n = 30) and control (n = 6) groups. To initiate non-alcoholic steatohepatitis, study group rats were fed a diet deficient in methionine and choline. All rats were examined using ultrasonography to obtain the SWDS and SWV parameters of the liver at the same time points. Fatty liver pathological grades were determined after euthanasia; the livers were categorized in the normal (n = 6), NAFL (non-alcoholic fatty liver) (n = 10) and NASH (n = 20) subgroups based on the NAS scoring system. They were also categorized into subgroups F0 (n = 22), F1 (n = 3), F2 (n = 7) and F3 (n = 4) on the basis of the METAVIR (Meta-analysis of Histological Data in Viral Hepatitis) scoring system. Measurement differences between various grades were evaluated by analysis of variance (ANOVA) or the Mann-Whitney U-test. We used logistic regression to calculate a combination of the two parameters for combined assessment of parameters. The diagnostic value of SWDS, SWV and the two-variable model was determined by receiver operating characteristic (ROC) curve analysis. This analysis revealed stepwise increases in SWDS and SWV with increasing NAFLD severity. The accuracy of SWDS in diagnosing NASH was good (area under the ROC curve [AUC]: 0.88) and was superior to that of SWV (AUC: 0.76). The combination of SWV and SWDS exhibited higher performance (AUC: 0.90). SWV was higher than SWDS in participants with a fibrosis grade ≥2 (high-risk NASH). For identification of high-risk NASH, SWV exhibited the best diagnostic performance (AUC: 0.89), which was equivalent to that of the two-variable model (AUC: 0.88) and slightly higher than that of SWDS (AUC: 0.85). This study indicates that of the US-based markers, SWDS outperforms SWV in identifying NASH in rats and that combining the two markers may increase their clinical utility in guiding NAFLD and NASH treatment.
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Affiliation(s)
- Weina Kong
- Department of Ultrasound, Tianjin First Central Hospital, Tianjin, China
| | - Ying Tang
- Department of Ultrasound, Tianjin First Central Hospital, Tianjin, China.
| | - Lei Liu
- Department of Ultrasound, Tianjin First Central Hospital, Tianjin, China
| | - Guoying Zhang
- Department of Ultrasound, Tianjin First Central Hospital, Tianjin, China
| | - Yang Liu
- Department of Ultrasound, Tianjin First Central Hospital, Tianjin, China
| | - Jing Liu
- Department of Ultrasound, Tianjin First Central Hospital, Tianjin, China
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Xiong Y, Xin Y, Liu F, Li W, Liu Y, Zhu J. Efficacy of shear wave dispersion imaging for viscoelastic assessment of the liver in acute graft-versus-host disease rats. Quant Imaging Med Surg 2022; 12:5044-5055. [PMID: 36330177 PMCID: PMC9622446 DOI: 10.21037/qims-22-374] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 08/14/2022] [Indexed: 08/29/2023]
Abstract
BACKGROUND To investigate the feasibility of using shear wave dispersion (SWD) imaging to evaluate hepatic acute graft-versus-host disease (aGVHD) in a rat model. METHODS To establish an aGVHD model, 30 Wistar rats were subjected to bone marrow transplantation, 10 Fischer 344 rats were used as donors, and 6 Wistar rats were used as the control group. Each week, 6 rats were randomly chosen and divided into groups of 1 week (1 w) to 5 weeks (5 w). For each subgroup, the rats received a clinical index assessment and shear wave dispersion (SWD) examination with 2 quantitative values, shear wave (SW) speed and SWD slope. The histological characteristics were then used as the reference standard to divide the rats into the aGVHD group and the no aGVHD (nGVHD) group. RESULTS In the 2 weeks (2 w) group, only SWD slope [median: 7.26, interquartile range (IQR): 7.04 to 7.31] showed a significant increase in the measured value (P<0.05). The value of the 3 weeks (3 w) group (median: 7.88, IQR: 7.84 to 8.49) significantly increased compared with the 2 w value (P<0.05). Although the value increased gradually from week 3 to week 5, it had no statistical significance (P>0.05). The SW speed [mean ± standard deviation (SD): 1.54±0.11, 95% confidence interval (CI): 1.48 to 1.59] and SWD slope (mean ± SD: 8.29±0.56, 95% CI: 7.99 to 8.59) of the aGVHD group were higher than those of the control group and the nGVHD group (P<0.001). The correlation of SWD slope with pathological grade was the highest (r=0.798, P<0.01), followed by SW speed (r=0.785, P<0.01), and the correlation of clinical index with pathological grade was the lowest (r=0.751, P<0.01). In addition, the area under the receiver operating characteristic (ROC) curve (AUC) value of aGVHD using the SWD slope was 0.844 (95% CI: 0.67 to 0.95, sensitivity: 93.75%, specificity: 78.57%), which was higher than the AUC of both SW speed and clinical index, and the difference was statistically significant compared to the AUC of the clinical index. CONCLUSIONS The SWD slope could show significant abnormalities earlier than SW speed and clinical index and is also more consistent with the change in aGVHD severity level. The SWD slope may help in detecting hepatic aGVHD during ultrasound SWD examination.
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Affiliation(s)
- Yu Xiong
- Department of Ultrasound, Peking University People’s Hospital, Beijing, China
| | - Yuwei Xin
- Department of Ultrasound, Peking University People’s Hospital, Beijing, China
| | - Feifei Liu
- Department of Ultrasound, Peking University People’s Hospital, Beijing, China
- Department of Ultrasound, Binzhou Medical University Hospital, Binzhou, China
| | - Wenxue Li
- Department of Ultrasound, Peking University People’s Hospital, Beijing, China
| | - Yiqun Liu
- Department of Ultrasound, Peking University People’s Hospital, Beijing, China
| | - Jia’an Zhu
- Department of Ultrasound, Peking University People’s Hospital, Beijing, China
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Valencia SA, Romero JA. Limitations of a Multiparametric US Score for NASH Prediction. Radiology 2022; 304:E50. [PMID: 35670717 DOI: 10.1148/radiol.212587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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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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Zhang XQ, Zheng RQ, Jin JY, Wang JF, Zhang T, Zeng J. US Shear-Wave Elastography Dispersion for Characterization of Chronic Liver Disease. Radiology 2022; 305:597-605. [PMID: 35916675 DOI: 10.1148/radiol.212609] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
Abstract
Background Little is known about the benefits of the use of dispersion slope (DS) as a viscosity-related parameter derived from two-dimensional (2D) shear-wave elastography (SWE) in the stratification of hepatic pathologic stages. Purpose To evaluate whether DS as an additional parameter can improve the diagnostic performance in detecting liver necroinflammation, fibrosis, and steatosis. Materials and Methods In this prospective study, consecutive participants with chronic liver disease who underwent liver biopsy and 2D SWE were recruited between July 2019 and September 2020. DS and liver stiffness (LS) measurements were obtained with use of a 2D SWE system immediately before biopsy. The biopsy specimens were assessed to obtain the scores of fibrosis, necroinflammation, and steatosis. Differences in the area under the receiver operating characteristic curve (AUC) were used to compare the diagnostic performance of DS, LS, and a combination of DS and LS. Results There were 159 participants evaluated (among them, 79 participants with chronic hepatitis B and 11 participants with nonalcoholic fatty liver disease). The distributions of DS values among various necroinflammatory activities (P = .02) and fibrosis stages (P < .001) were different. Moreover, DS was only associated with fibrosis after subgroup analysis based on the fibrosis stages and necroinflammatory activities (P < .001). The AUCs of DS in detecting clinically significant fibrosis (fibrosis stage ≥F2), cirrhosis (fibrosis stage of F4), and moderate to severe necroinflammatory activity (necroinflammatory activity ≥A2) were 0.72 (95% CI: 0.64, 0.79), 0.71 (95% CI: 0.63, 0.78), and 0.64 (95% CI: 0.55, 0.71), respectively. The differences of AUCs were not apparent for the DS and LS combination model after excluding DS (fibrosis stage ≥F2: 0.00 [95% CI: 0.00, 0.01], fibrosis stage of F4: -0.01 [95% CI: -0.02, 0.00], and necroinflammatory activity ≥A2: 0.00 [95% CI: 0.00, 0.01]). Conclusion The addition of dispersion slope derived from two-dimensional shear-wave elastography did not improve the diagnostic performance in detecting liver fibrosis, necroinflammation, or steatosis in patients with primarily viral hepatitis. ClinicalTrials.gov registration no.: NCT03777293 © RSNA, 2022 Online supplemental material is available for this article.
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Affiliation(s)
- Xiao-Qing Zhang
- From the Department of Medical Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou 510630, China
| | - Rong-Qin Zheng
- From the Department of Medical Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou 510630, China
| | - Jie-Yang Jin
- From the Department of Medical Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou 510630, China
| | - Jin-Fen Wang
- From the Department of Medical Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou 510630, China
| | - Ting Zhang
- From the Department of Medical Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou 510630, China
| | - Jie Zeng
- From the Department of Medical Ultrasound, Guangdong Key Laboratory of Liver Disease Research, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou 510630, China
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Jang JK, Lee ES, Seo JW, Kim YR, Kim SY, Cho YY, Lee DH. Two-dimensional Shear-Wave Elastography and US Attenuation Imaging for Nonalcoholic Steatohepatitis Diagnosis: A Cross-sectional, Multicenter Study. Radiology 2022; 305:118-126. [PMID: 35727151 DOI: 10.1148/radiol.220220] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background Multiparametric US examination may have potential in the comprehensive evaluation of nonalcoholic fatty liver disease (NAFLD), but multicenter studies are lacking. Purpose To evaluate the diagnostic performance of multiparametric US with the attenuation coefficient (AC) from attenuation imaging (ATI) and liver stiffness (LS) and dispersion slope (DS) from two-dimensional (2D) shear-wave elastography (SWE) in a multicenter study of patients with NAFLD. Materials and Methods This prospective study enrolled consecutive participants between December 2019 and June 2021 with suspected nonalcoholic steatohepatitis (NASH) who were scheduled to undergo liver biopsy in five tertiary hospitals. Before the procedure, all participants underwent US with ATI and 2D SWE according to the study protocol. Multivariable linear regression analyses were performed to determine the significant determinant factors for AC, LS, and DS. Diagnostic performance was decided based on the areas under the receiver operating characteristic curve (AUCs). Results A total of 132 participants (median age, 38 years; IQR, 27-54 years; 69 women) were evaluated. Among the participant characteristics, including pathologic findings, demographic characteristics, body mass index, and serum markers, hepatic steatosis for AC (P < .001), lobular inflammatory activity for DS (P = .007), and both fibrosis (P = .01) and lobular inflammatory activity (P = .04) for LS were significant determinant factors. At histopathologic examination, 53 of the 132 participants (40.2%) had NASH. The risk score system obtained using unweighted sum of scores from AC and DS showed the best diagnostic performance in the detection of NASH (AUC = 0.94; 95% CI: 0.89, 0.98; P < .05 for all), as compared with serum markers or other US parameters alone (AUC ≤ 0.88). Conclusion US attenuation imaging and two-dimensional shear-wave elastography were useful for assessing hepatic steatosis, lobular inflammation, and fibrosis. The risk score system obtained using the attenuation coefficient and dispersion slope showed the best diagnostic performance fo r nonalcoholic steatohepatitis. cris.nih.go.kr no. KCT0004326 © RSNA, 2022 Online supplemental material is available for this article.
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Affiliation(s)
- Jong Keon Jang
- From the Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (J.K.J., S.Y.K.); Departments of Radiology (E.S.L.) and Internal Medicine (Y.Y.C.), Chung-Ang University Hospital, Seoul, Korea; Department of Radiology, Ilsan Paik Hospital, Inje University College of Medicine, Gyeonggi, Korea (J.W.S.); Department of Radiology, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea (Y.R.K.); and Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (D.H.L.)
| | - Eun Sun Lee
- From the Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (J.K.J., S.Y.K.); Departments of Radiology (E.S.L.) and Internal Medicine (Y.Y.C.), Chung-Ang University Hospital, Seoul, Korea; Department of Radiology, Ilsan Paik Hospital, Inje University College of Medicine, Gyeonggi, Korea (J.W.S.); Department of Radiology, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea (Y.R.K.); and Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (D.H.L.)
| | - Jung Wook Seo
- From the Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (J.K.J., S.Y.K.); Departments of Radiology (E.S.L.) and Internal Medicine (Y.Y.C.), Chung-Ang University Hospital, Seoul, Korea; Department of Radiology, Ilsan Paik Hospital, Inje University College of Medicine, Gyeonggi, Korea (J.W.S.); Department of Radiology, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea (Y.R.K.); and Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (D.H.L.)
| | - Youe Ree Kim
- From the Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (J.K.J., S.Y.K.); Departments of Radiology (E.S.L.) and Internal Medicine (Y.Y.C.), Chung-Ang University Hospital, Seoul, Korea; Department of Radiology, Ilsan Paik Hospital, Inje University College of Medicine, Gyeonggi, Korea (J.W.S.); Department of Radiology, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea (Y.R.K.); and Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (D.H.L.)
| | - So Yeon Kim
- From the Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (J.K.J., S.Y.K.); Departments of Radiology (E.S.L.) and Internal Medicine (Y.Y.C.), Chung-Ang University Hospital, Seoul, Korea; Department of Radiology, Ilsan Paik Hospital, Inje University College of Medicine, Gyeonggi, Korea (J.W.S.); Department of Radiology, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea (Y.R.K.); and Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (D.H.L.)
| | - Young Youn Cho
- From the Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (J.K.J., S.Y.K.); Departments of Radiology (E.S.L.) and Internal Medicine (Y.Y.C.), Chung-Ang University Hospital, Seoul, Korea; Department of Radiology, Ilsan Paik Hospital, Inje University College of Medicine, Gyeonggi, Korea (J.W.S.); Department of Radiology, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea (Y.R.K.); and Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (D.H.L.)
| | - Dong Ho Lee
- From the Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (J.K.J., S.Y.K.); Departments of Radiology (E.S.L.) and Internal Medicine (Y.Y.C.), Chung-Ang University Hospital, Seoul, Korea; Department of Radiology, Ilsan Paik Hospital, Inje University College of Medicine, Gyeonggi, Korea (J.W.S.); Department of Radiology, Wonkwang University Hospital, Wonkwang University College of Medicine, Iksan, Korea (Y.R.K.); and Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (D.H.L.)
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