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Pyo JH, Cho SJ, Choi SC, Jee JH, Yun J, Hwang JA, Park G, Kim K, Kang W, Kang M, Byun YH. Diagnostic performance of quantitative ultrasonography for hepatic steatosis in a health screening program: a prospective single-center study. Ultrasonography 2024; 43:250-262. [PMID: 38898634 PMCID: PMC11222130 DOI: 10.14366/usg.24040] [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: 03/14/2024] [Revised: 05/29/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
PURPOSE This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) as the reference standard. METHODS This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. RESULTS TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). CONCLUSION QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.
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Affiliation(s)
- Jeung Hui Pyo
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Soo Jin Cho
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sung Chul Choi
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Hwan Jee
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeeyeong Yun
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeong Ah Hwang
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Goeun Park
- Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea
| | - Kyunga Kim
- Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea
| | - Wonseok Kang
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mira Kang
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea
- Digital Transformation Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young hye Byun
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Eeda V, Patil NY, Joshi AD, Awasthi V. Advancements in metabolic-associated steatotic liver disease research: Diagnostics, small molecule developments, and future directions. Hepatol Res 2024; 54:222-234. [PMID: 38149861 PMCID: PMC10923026 DOI: 10.1111/hepr.14008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 12/28/2023]
Abstract
Metabolic (dysfunction)-associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease, is a growing global health concern with no approved pharmacological treatments. At the same time, there are no standard methods to definitively screen for the presence of MASLD because of its progressive nature and symptomatic commonality with other disorders. Recent advances in molecular understanding of MASLD pathophysiology have intensified research on development of new drug molecules, repurposing of existing drugs approved for other indications, and an educated use of dietary supplements for its treatment and prophylaxis. This review focused on depicting the latest advancements in MASLD research related to small molecule development for prophylaxis or treatment and diagnosis, with emphasis on mechanistic basis at the molecular level.
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Affiliation(s)
- Venkateswararao Eeda
- Department of Pharmaceutical Sciences, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
| | - Nikhil Yuvaraj Patil
- Department of Pharmaceutical Sciences, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
| | - Aditya Dilip Joshi
- Department of Pharmaceutical Sciences, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
| | - Vibhudutta Awasthi
- Department of Pharmaceutical Sciences, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
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Chimoriya R, Ho V, Wang ZV, Chang R, Boumelhem BB, Simmons D, Kormas N, Gorrell MD, Piya MK. Application and Diagnostic Performance of Two-Dimensional Shear Wave Elastography and Liver Fibrosis Scores in Adults with Class 3 Obesity. Nutrients 2023; 16:74. [PMID: 38201904 PMCID: PMC10780854 DOI: 10.3390/nu16010074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 12/19/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024] Open
Abstract
There are no ideal non-invasive tests for assessing the severity of liver fibrosis in people with metabolic dysfunction-associated steatotic liver disease (MASLD) and class 3 obesity, where body habitus often makes imaging technically challenging. This study aimed to assess the applicability and diagnostic performance of two-dimensional shear wave elastography (2D-SWE), alongside several serum-based liver fibrosis scoring methods, in individuals with class 3 obesity. A cross-sectional study was conducted in patients aged ≥18 years and with a body mass index (BMI) ≥ 40 kg/m2 who were participants in a publicly funded multidisciplinary weight management program in South Western Sydney. The 2D-SWE was performed using the ElastQ Imaging (EQI) procedure with the Phillips EPIQ Elite series ultrasound. An EQI Median value of ≥6.43 kPa was taken as a cutoff score for significant fibrosis, and the scan was considered valid when the liver EQI IQR/Med value was <30%. The Fibrosis-4 (FIB-4) index, AST-to-platelet ratio index (APRI), NAFLD fibrosis score (NFS), and circulating fibroblast activation protein index (FAP index) were calculated from fasting blood samples. The participants (n = 116; 67.2% female) were aged 47.2 ± 12.9 years, with BMI 54.5 ± 11.0 kg/m2. EQI Median values were obtained for 97.4% (113/116) of the 2D-SWE scans, and 91.4% (106/116) of the scans were considered valid. The EQI Median values exhibited a moderately positive correlation with the FIB-4 index (r = 0.438; p < 0.001) and a weakly positive correlation with the APRI (r = 0.388; p < 0.001), NFS (r = 0.210; p = 0.036) and FAP index (r = 0.226; p = 0.020). All liver fibrosis scores were positively correlated with one another. Among those referred for a liver biopsy based on the 2D-SWE and serum scores, half (11/22) underwent liver biopsy, and their 2D-SWE scores exhibited 72.7% accuracy (sensitivity: 71.4%; specificity: 75%) in detecting significant fibrosis. Our results show that 2D-SWE is a feasible, non-invasive test to assess liver fibrosis among people with class 3 obesity. Further research is needed to assess how 2D-SWE can be used alongside existing serum-based risk scores to reliably detect significant fibrosis, which would potentially reduce the need for invasive liver biopsy.
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Affiliation(s)
- Ritesh Chimoriya
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia; (R.C.); (V.H.); (D.S.)
| | - Vincent Ho
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia; (R.C.); (V.H.); (D.S.)
- Camden and Campbelltown Hospitals, Campbelltown, NSW 2560, Australia; (R.C.); (N.K.)
| | - Ziqi Vincent Wang
- Centenary Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (Z.V.W.); (B.B.B.); (M.D.G.)
| | - Ruby Chang
- Camden and Campbelltown Hospitals, Campbelltown, NSW 2560, Australia; (R.C.); (N.K.)
| | - Badwi B. Boumelhem
- Centenary Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (Z.V.W.); (B.B.B.); (M.D.G.)
| | - David Simmons
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia; (R.C.); (V.H.); (D.S.)
- Camden and Campbelltown Hospitals, Campbelltown, NSW 2560, Australia; (R.C.); (N.K.)
| | - Nic Kormas
- Camden and Campbelltown Hospitals, Campbelltown, NSW 2560, Australia; (R.C.); (N.K.)
| | - Mark D. Gorrell
- Centenary Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia; (Z.V.W.); (B.B.B.); (M.D.G.)
| | - Milan K. Piya
- School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia; (R.C.); (V.H.); (D.S.)
- Camden and Campbelltown Hospitals, Campbelltown, NSW 2560, Australia; (R.C.); (N.K.)
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Long H, Peng C, Ding H, Zheng Y, Zhou J, Chen W, Zhong X, Shi Y, Duan Y, Xie X, Kuang M, Xie X, Lin M. Predicting symptomatic post-hepatectomy liver failure in patients with hepatocellular carcinoma: development and validation of a preoperative nomogram. Eur Radiol 2023; 33:7665-7674. [PMID: 37314474 DOI: 10.1007/s00330-023-09803-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] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 03/12/2023] [Accepted: 03/26/2023] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To develop and validate a nomogram based on liver stiffness (LS) for predicting symptomatic post-hepatectomy (PHLF) in patients with hepatocellular carcinoma (HCC). METHODS A total of 266 patients with HCC were enrolled prospectively from three tertiary referral hospitals from August 2018 to April 2021. All patients underwent preoperative laboratory examination to obtain parameters of liver function. Two-dimensional shear wave elastography (2D-SWE) was performed to measure LS. Three-dimensional virtual resection obtained the different volumes including future liver remnant (FLR). A nomogram was developed by using logistic regression and determined by receiver operating characteristic (ROC) curve analysis and calibration curve analysis, which was validated internally and externally. RESULTS A nomogram was constructed with the following variables: FLR ratio (FLR of total liver volume), LS greater than 9.5 kPa, Child-Pugh grade, and the presence of clinically significant portal hypertension (CSPH). This nomogram enabled differentiation of symptomatic PHLF in the derivation cohort (area under curve [AUC], 0.915), internal fivefold cross-validation (mean AUC, 0.918), internal validation cohort (AUC, 0.876) and external validation cohort (AUC, 0.845). The nomogram also showed good calibration in the derivation, internal validation, and external validation cohorts (Hosmer-Lemeshow goodness-of-fit test, p = 0.641, p = 0.06, and p = 0.127, respectively). Accordingly, the safe limit of the FLR ratio was stratified using the nomogram. CONCLUSION An elevated level of LS was associated with the occurrence of symptomatic PHLF in HCC. A preoperative nomogram integrating LS, clinical and volumetric features was useful in predicting postoperative outcomes in patients with HCC, which might help surgeons in the management of HCC resection. CLINICAL RELEVANCE STATEMENT A serial of the safe limit of the future liver remnant was proposed by a preoperative nomogram for hepatocellular carcinoma, which might help surgeons in 'how much remnant is enough in liver resection'. KEY POINTS • An elevated liver stiffness with the best cutoff value of 9.5 kPa was associated with the occurrence of symptomatic post-hepatectomy liver failure in hepatocellular carcinoma. • A nomogram based on both quality (Child-Pugh grade, liver stiffness, and portal hypertension) and quantity of future liver remnant was developed to predict symptomatic post-hepatectomy liver failure for HCC, which enabled good discrimination and calibration in both derivation and validation cohorts. • The safe limit of future liver remnant volume was stratified using the proposed nomogram, which might help surgeons in the management of HCC resection.
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Affiliation(s)
- Haiyi Long
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Chuan Peng
- Department of Ultrasonography, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Hong Ding
- Department of Ultrasound, Huashan Hospital, Fudan University. No. 12 Middle Urumqi Road, Shanghai, 200040, China
| | - Yun Zheng
- Department of Liver Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China and Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Jianhua Zhou
- Department of Ultrasonography, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Wei Chen
- Department of Pancreaticobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Xian Zhong
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Yifan Shi
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Yu Duan
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Xiaohua Xie
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Ming Kuang
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
- Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China
| | - Xiaoyan Xie
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China.
| | - Manxia Lin
- Division of Interventional Ultrasound, Department of Medical Ultrasonics, The First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhong Shan Road 2, Guangzhou, 510080, China.
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Cheng KL, Lai PH, Su CL, Baek JH, Lee HL. Impact of Region-of-Interest Size on the Diagnostic Performance of Shear Wave Elastography in Differentiating Thyroid Nodules. Cancers (Basel) 2023; 15:5214. [PMID: 37958387 PMCID: PMC10648139 DOI: 10.3390/cancers15215214] [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: 09/17/2023] [Revised: 10/26/2023] [Accepted: 10/28/2023] [Indexed: 11/15/2023] Open
Abstract
This study investigated the impact of different region-of-interest (ROI) sizes (Max, 1 mm, and 2 mm) on shear wave elastography (SWE) in differentiating between malignant and benign thyroid nodules. The study cohort comprised 129 thyroid nodules (50 malignant, 79 benign) and 78 normal subjects. Diagnostic efficacy was assessed through pairwise comparisons of area under the curve (AUC) values in receiver operating characteristic analysis by using DeLong's test. Our results indicated significant differences in all SWE elasticity metrics between the groups, with malignant nodules exhibiting higher values than benign nodules (p < 0.05). Smaller ROIs (1 and 2 mm) were found to outperform the max ROI in terms of diagnostic accuracy, particularly for the Emax and Emin elasticity metrics. Emax(1mm) had the highest diagnostic accuracy, with an AUC of 0.883, sensitivity of 74.0%, and specificity of 86.1%. This study underscores the significant influence of ROI size selection on the diagnostic performance of SWE, offering valuable insights for future research and clinical applications in thyroid nodule assessment.
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Affiliation(s)
- Kai-Lun Cheng
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung 40201, Taiwan; (K.-L.C.); (P.-H.L.)
- School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan
| | - Pin-Hsien Lai
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung 40201, Taiwan; (K.-L.C.); (P.-H.L.)
- School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan
| | - Chun-Lang Su
- Chung Jen Junior College of Nursing, Health Science and Management, Chiayi City 60077, Taiwan;
- Department of Rehabilitation, Tung Wah Hospital, Nantou City 55713, Taiwan
| | - Jung Hwan Baek
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea;
| | - Hsiang-Lin Lee
- School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan
- Department of Surgery, Chung Shan Medical University Hospital, Taichung 40201, Taiwan
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Oh H. A non-invasive test that enables longitudinal monitoring of chronic liver disease: VCTE versus 2D-SWE. Korean J Intern Med 2022; 37:281-282. [PMID: 35272441 PMCID: PMC8925961 DOI: 10.3904/kjim.2022.065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 02/20/2022] [Indexed: 11/27/2022] Open
Affiliation(s)
- Hyunwoo Oh
- Division of Gastroenterology, Department of Internal Medicine, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, Korea
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