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Observational Study
. 2024 Sep;312(3):e233094.
doi: 10.1148/radiol.233094.

Reproducibility and Repeatability of US Shear-Wave and Transient Elastography in Nonalcoholic Fatty Liver Disease

Affiliations
Observational Study

Reproducibility and Repeatability of US Shear-Wave and Transient Elastography in Nonalcoholic Fatty Liver Disease

Theodore T Pierce et al. Radiology. 2024 Sep.

Abstract

Background US shear-wave elastography (SWE) and vibration-controlled transient elastography (VCTE) enable assessment of liver stiffness, an indicator of fibrosis severity. However, limited reproducibility data restrict their use in clinical trials. Purpose To estimate SWE and VCTE measurement variability in nonalcoholic fatty liver disease (NAFLD) within and across systems to support clinical trial diagnostic enrichment and clinical interpretation of longitudinal liver stiffness. Materials and Methods This prospective, observational, cross-sectional study (March 2021 to November 2021) enrolled adults with NAFLD, stratified according to the Fibrosis-4 (FIB-4) index (≤1.3, >1.3 and <2.67, ≥2.67), at two sites to assess SWE with five US systems and VCTE with one system. Each participant underwent 12 elastography examinations over two separate days within 1 week, with each day's examinations conducted by a different operator. VCTE and SWE measurements were reported in units of meters per second. The primary end point was the different-day, different-operator reproducibility coefficient (RDCDDDO) pooled across systems for SWE and individually for VCTE. Secondary end points included system-specific RDCDDDO, same-day, same-operator repeatability coefficient (RCSDSO), and between-system same-day, same-operator reproducibility coefficient. The planned sample provided 80% power to detect a pooled RDCDDDO of less than 35%, the prespecified performance threshold. Results A total of 40 participants (mean age, 60 years ± 10 [SD]; 24 women) with low (n = 17), intermediate (n = 15), and high (n = 8) FIB-4 scores were enrolled. RDCDDDO was 30.7% (95% upper bound, 34.4%) for SWE and 35.6% (95% upper bound, 43.9%) for VCTE. SWE system-specific RDCDDDO varied from 24.2% to 34.3%. The RCSDSO was 21.0% for SWE (range, 13.9%-35.0%) and 19.6% for VCTE. The SWE between-system same-day, same-operator reproducibility coefficient was 52.7%. Conclusion SWE met the prespecified threshold, RDCDDDO less than 35%, with VCTE having a higher RDCDDDO. SWE variability was higher between different systems. These estimates advance liver US-based noninvasive test qualification by (a) defining expected variability, (b) establishing that serial examination variability is lower when performed with the same system, and (c) informing clinical trial design. ClinicalTrials.gov Identifier NCT04828551 © RSNA, 2024 Supplemental material is available for this article.

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Conflict of interest statement

Disclosures of conflicts of interest: T.T.P. Grants paid through institution from U.S. Department of Defense, GE, National Institutes of Health, Food and Drug Administration, Society of Abdominal Radiology, and American Roentgen Ray Society; honoraria for prior talks from Massachusetts Society of Radiologic Technologists and Zhejiang Medical Association; equity and consultant for AutonomUS Medical Technologies; royalties from Elsevier. A.O. Consulting fees from Novo Nordisk SmartAlpha, and AutonomUS; Euroson conference attendance supported by conference organizers. S.P.S. Employee of Pfizer and AstraZeneca; owner of restricted stock units and stock options in Pfizer. G.M.C. No relevant relationships. X.W. No relevant relationships. Q.L. No relevant relationships. D.H. No relevant relationships. M.S.M. Laboratory service agreements or grants under UCSD from Alexion, Celgene, Enanta, GE, Intercept, Pfizer, Roche, and Shire; consulting fees from Alimentive, Arrowhead, AutonomUS, Glympse, Kowa, Livivos, Median, Novo Nordisk, and PharmaNest; travel expenses from the Liver Forum, NASH CRN, and Liver Cirrhosis Network; steering committee member and chair of the Radiology Disease Program for The Liver Forum; steering Committee of NASH CRN; co-founder of QuantixBio; stock in Pfizer; stock options in QuantixBio and AutonomUS; stock options pending for Livivos; grant advising for AutonomUS and grant writing for PharmaNest. M.M. No relevant relationships. K.E.C. Consulting fees from Medscape, Theratechnologies, and Sagimet. H.E. No relevant relationships. S.S.S. No relevant relationships. H.H. No relevant relationships. T.N.K. No relevant relationships. R.A.C. Stock or stock options in Regeneron Pharmaceuticals and Pfizer. Y.C. No relevant relationships. R.L. Grants from Arrowhead Pharmaceuticals, Astrazeneca, Boehringer-Ingelheim, Bristol-Myers Squibb, Eli Lilly, Galectin Therapeutics, Gilead, Intercept, Hanmi, Intercept, Inventiva, Ionis, Janssen, Madrigal Pharmaceuticals, Merck, Novo Nordisk, Pfizer, Sonic Incytes and Terns Pharmaceuticals; consulting fees from Aardvark Therapeutics, Altimmune, Arrowhead Pharmaceuticals, AstraZeneca, Cascade Pharmaceuticals, Eli Lilly, Gilead, Glympse bio, Inipharma, Intercept, Inventiva, Ionis, Janssen Inc., Lipidio, Madrigal, Neurobo, Novo Nordisk, Merck, Pfizer, Sagimet, 89 bio, Takeda, Terns Pharmaceuticals and Viking Therapeutics; stock options in Sagimet Biosciences; co-founder of LipoNexus. N.A.O. Contract between fNIH and Cleveland Clinic for statistical consulting. A.J.S. Grants to institution from Gilead, Eli Lilly, Novo Nordisk, Pfizer, Bristol Myers Squibb, Intercept, Merck, Salix, Echosense, Hanmi, Madrigal; consulting fees from Merck, Novo Nordisk, Eli Lilly, Pfizer, Genentech, Amgen, Alnylam, Regeneron, Poxel, Tern, Akero, 89Bio, Altimmune, Northsea, Histoindex, Path AI, Aligos, Surrozen, Zydus, Sun Pharma, Myovant, Salix; honoraria for lectures at educational CME events from Merck and Novo Nordisk; patent to institution for DIAMOND model of mouse; participation on a DataSafety Monitoring Board or Advisory Board for Sequana and Bard; stock options in Genfit, Tiziana, Durect, Exhalenz, Rivus, Northsea, and Inversago. C.B.S. Grants to institution from ACR, Bayer, GE, Pfizer, Gilead, Philips, Siemens, V Foundation, OrsoBio, Enanta, Gilead, ICON, Intercept, Nusirt, Shire, Synageva, Takeda; royalties or licenses from Medscape and Wolters Kluwer; personal consulting fees (payments or stock/stock options) from Altimmune, Ascelia Pharma, Blade, Boehringer, Epigenomics, Guerbet, and Livivos; institutional consulting fees from AMRA, Exact Sciences, and Pfizer; payments for educational symposia; support for attending meetings and/or travel from Fundacion Santa Fe, Congreso Argentino de Diagnóstico por Imágenes, Stanford, Jornada Paulista de Radiologia, Ascelia Pharma, and University of Cincinnati; participation (unpaid) on a Data Safety and Monitoring Board for National Cancer Institute–funded Early Detection Research Network; executive position for Livivos (Chief Medical Officer, unsalaried position with stock options and stock) through June 28, 2023; principal Scientific Advisor to Livivos (unsalaried position with stock options and stock) since June 28, 2023; stock and stock options in Livivos; equipment loans (contrast material) from GE, Siemens, and Bayer; payment to institution for academic co-chair, Imaging Workstream, NIMBLE. K.J.F. Grants from GE, Bayer, Siemens, Pfizer, and Median; consulting fees from Ascelia, Guerbet, and Bayer; payment or honoraria from vrad for CME science; payment for expert witness testimony; support for attending meetings and/or travel from Bayer; leadership or fiduciary role in other board, society, committee, or advocacy group for ACR, RSNA, and SAR; senior deputy editor of Radiology. A.E.S. Consultant for numerous healthcare organizations, which, in the past 2 years, include General Electric, Resolve Stroke, Cryosa, Ochre Bio, Rhino Healthtech, and Gerson Lehman Group; member of advisory or scientific boards for General Electric, Rhino Healthtech, Ochre Bio, Resolve Stroke, and FNIH; has received research support from Canon, Echosens, General Electric HealthCare, Philips, Siemens, and Supersonic Imagine/Hologic; has received research funding from Analogic, the U.S. Department of Defense, Fujifilm Healthcare, FNIH, NIH, and General Electric HealthCare; holds stock options or equity in AutonomUS Medical Technologies, Evidence Based Psychology, Klea, Katharos Labs, Quantix Bio, Rhino Healthtech, Ochre Bio, and Resolve Stroke.

Figures

None
Graphical abstract
Study inclusion and exclusion flowchart. FIB-4 = Fibrosis-4 index,
NAFLD = nonalcoholic fatty liver disease, SWE = shear-wave elastography,
VCTE = vibration-controlled transient elastography.
Figure 1:
Study inclusion and exclusion flowchart. FIB-4 = Fibrosis-4 index, NAFLD = nonalcoholic fatty liver disease, SWE = shear-wave elastography, VCTE = vibration-controlled transient elastography.
Diagram shows Non-Invasive Biomarkers of Metabolic Liver Disease 1.1
imaging visit design. All study participants underwent two imaging visits,
although each visit used different combinations of US and
vibration-controlled transient elastography (VCTE) systems. One VCTE
examination was performed at visit 1 and two VCTE examinations were
performed at visit 2 for each participant. Three of the five US systems were
used at visit 1. Two US systems were repeated at visit 1. The same three
systems were used in visit 2, with the third system being repeated. All US
systems were used on an equal number of participants. The sample of US
systems allocated to each participant was randomly selected before study
initiation.
Figure 2:
Diagram shows Non-Invasive Biomarkers of Metabolic Liver Disease 1.1 imaging visit design. All study participants underwent two imaging visits, although each visit used different combinations of US and vibration-controlled transient elastography (VCTE) systems. One VCTE examination was performed at visit 1 and two VCTE examinations were performed at visit 2 for each participant. Three of the five US systems were used at visit 1. Two US systems were repeated at visit 1. The same three systems were used in visit 2, with the third system being repeated. All US systems were used on an equal number of participants. The sample of US systems allocated to each participant was randomly selected before study initiation.
Representative multisystem shear-wave elastography (SWE) images. (A)
Images obtained with a Philips machine in a 61-year-old female. Color map
shows shear-wave speed (SWS), which is quantified by the inset region of
interest, also used in B, D, and E. (B) Images obtained with a Canon machine
in a 61-year-old male. Smooth, parallel lines in the propagation map
indicate areas of high SWE measurement quality. Attenuation, shear-wave
propagation, and shear-wave dispersion maps were acquired simultaneously.
(C) Image obtained with a Siemens machine in a 70-year-old female. SWS is
estimated with use of 15 sectors. More dots indicate higher stiffness per
sector. Ultrasound-derived fat fraction (UDFF) is estimated simultaneously.
(D) Image obtained with a GE machine in a 59-year-old female. A yellow
region of interest indicates a technically adequate measurement. (E) Images
obtained with a Supersonic machine in a 61-year-old male. Viscosity was
estimated simultaneously.
Figure 3:
Representative multisystem shear-wave elastography (SWE) images. (A) Images obtained with a Philips machine in a 61-year-old female. Color map shows shear-wave speed (SWS), which is quantified by the inset region of interest, also used in B, D, and E. (B) Images obtained with a Canon machine in a 61-year-old male. Smooth, parallel lines in the propagation map indicate areas of high SWE measurement quality. Attenuation, shear-wave propagation, and shear-wave dispersion maps were acquired simultaneously. (C) Image obtained with a Siemens machine in a 70-year-old female. SWS is estimated with use of 15 sectors. More dots indicate higher stiffness per sector. Ultrasound-derived fat fraction (UDFF) is estimated simultaneously. (D) Image obtained with a GE machine in a 59-year-old female. A yellow region of interest indicates a technically adequate measurement. (E) Images obtained with a Supersonic machine in a 61-year-old male. Viscosity was estimated simultaneously.
Representative image from vibration-controlled transient elastography
examination in a 70-year-old female participant. The median liver stiffness,
4.5 kPa, corresponds to a median shear-wave speed of 1.23 m/sec as
calculated from the 10 individual measurements shown. For each measurement,
time motion (TM) mode, A mode, and the automated liver targeting tool were
used to ensure correct device placement. The resulting elastogram enables
estimation of liver stiffness. The controlled attenuation parameter (CAP) is
acquired and reported simultaneously but was not analyzed in this
study.
Figure 4:
Representative image from vibration-controlled transient elastography examination in a 70-year-old female participant. The median liver stiffness, 4.5 kPa, corresponds to a median shear-wave speed of 1.23 m/sec as calculated from the 10 individual measurements shown. For each measurement, time motion (TM) mode, A mode, and the automated liver targeting tool were used to ensure correct device placement. The resulting elastogram enables estimation of liver stiffness. The controlled attenuation parameter (CAP) is acquired and reported simultaneously but was not analyzed in this study.
Optimal shear-wave speed (SWS) measurement technique. A representative
B-mode liver US is shown with superimposed SWS color sector map and inset
region of interest to quantify SWS. The region of interest center should be
placed less than 6.5 cm of the skin surface (red line) and more than 2.0 cm
from the liver capsule (yellow line). When the skin-to-capsule distance
(blue line) is greater than 4.5 cm, as can occur with obesity, both
constraints cannot be met and distance from the liver capsule should be
prioritized. The region of interest should be preferentially placed in the
image midline without overlapping vessels, large bile ducts, or imaging
artifacts.
Figure 5:
Optimal shear-wave speed (SWS) measurement technique. A representative B-mode liver US is shown with superimposed SWS color sector map and inset region of interest to quantify SWS. The region of interest center should be placed less than 6.5 cm of the skin surface (red line) and more than 2.0 cm from the liver capsule (yellow line). When the skin-to-capsule distance (blue line) is greater than 4.5 cm, as can occur with obesity, both constraints cannot be met and distance from the liver capsule should be prioritized. The region of interest should be preferentially placed in the image midline without overlapping vessels, large bile ducts, or imaging artifacts.

References

    1. Younossi ZM . Non-alcoholic fatty liver disease - A global public health perspective . J Hepatol 2019. ; 70 ( 3 ): 531 – 544 . - PubMed
    1. Younossi ZM , Loomba R , Rinella ME , et al . Current and future therapeutic regimens for nonalcoholic fatty liver disease and nonalcoholic steatohepatitis . Hepatology 2018. ; 68 ( 1 ): 361 – 371 . - PMC - PubMed
    1. Alexander M , Loomis AK , Fairburn-Beech J , et al . Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease . BMC Med 2018. ; 16 ( 1 ): 130 . - PMC - PubMed
    1. Patel K , Sebastiani G . Limitations of non-invasive tests for assessment of liver fibrosis . JHEP Rep 2020. ; 2 ( 2 ): 100067 . - PMC - PubMed
    1. Sanyal AJ , Shankar SS , Calle RA , et al . Non-Invasive Biomarkers of Nonalcoholic Steatohepatitis: the FNIH NIMBLE project . Nat Med 2022. ; 28 ( 3 ): 430 – 432 . - PMC - PubMed

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