Radiological Society of North America/Quantitative Imaging Biomarker Alliance Shear Wave Speed Bias Quantification in Elastic and Viscoelastic Phantoms.

Quantitative Imaging Biomarker Alliance acoustic radiation force elasticity phantom shear wave viscoelasticity

Journal

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
ISSN: 1550-9613
Titre abrégé: J Ultrasound Med
Pays: England
ID NLM: 8211547

Informations de publication

Date de publication:
Mar 2021
Historique:
received: 24 06 2020
revised: 20 11 2020
accepted: 29 11 2020
pubmed: 8 1 2021
medline: 15 5 2021
entrez: 7 1 2021
Statut: ppublish

Résumé

To quantify the bias of shear wave speed (SWS) measurements between different commercial ultrasonic shear elasticity systems and a magnetic resonance elastography (MRE) system in elastic and viscoelastic phantoms. Two elastic phantoms, representing healthy through fibrotic liver, were measured with 5 different ultrasound platforms, and 3 viscoelastic phantoms, representing healthy through fibrotic liver tissue, were measured with 12 different ultrasound platforms. Measurements were performed with different systems at different sites, at 3 focal depths, and with different appraisers. The SWS bias across the systems was quantified as a function of the system, site, focal depth, and appraiser. A single MRE research system was also used to characterize these phantoms using discrete frequencies from 60 to 500 Hz. The SWS from different systems had mean difference 95% confidence intervals of ±0.145 m/s (±9.6%) across both elastic phantoms and ± 0.340 m/s (±15.3%) across the viscoelastic phantoms. The focal depth and appraiser were less significant sources of SWS variability than the system and site. Magnetic resonance elastography best matched the ultrasonic SWS in the viscoelastic phantoms using a 140 Hz source but had a - 0.27 ± 0.027-m/s (-12.2% ± 1.2%) bias when using the clinically implemented 60-Hz vibration source. Shear wave speed reconstruction across different manufacturer systems is more consistent in elastic than viscoelastic phantoms, with a mean difference bias of < ±10% in all cases. Magnetic resonance elastographic measurements in the elastic and viscoelastic phantoms best match the ultrasound systems with a 140-Hz excitation but have a significant negative bias operating at 60 Hz. This study establishes a foundation for meaningful comparison of SWS measurements made with different platforms.

Identifiants

pubmed: 33410183
doi: 10.1002/jum.15609
pmc: PMC8082942
mid: NIHMS1693331
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

569-581

Subventions

Organisme : NIH HHS
ID : HHSN268201500021C
Pays : United States
Organisme : NIBIB NIH HHS
ID : R37 EB001981
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK106957
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB002132
Pays : United States
Organisme : NIBIB NIH HHS
ID : HHSN268201000050C
Pays : United States
Organisme : NIH HHS
ID : R01DK106957
Pays : United States
Organisme : NIH HHS
ID : R01DK092255
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB001981
Pays : United States
Organisme : the Radiological Society of North America
Organisme : NIH HHS
ID : HHSN268201000050C
Pays : United States
Organisme : FDA HHS
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK092255
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201500021C
Pays : United States
Organisme : NIH HHS
ID : R01EB001981
Pays : United States
Organisme : NIH HHS
ID : R01EB002132
Pays : United States

Informations de copyright

© 2021 American Institute of Ultrasound in Medicine.

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Auteurs

Mark L Palmeri (ML)

Duke University, Durham, North Carolina, USA.

Andy Milkowski (A)

Siemens Medical Solutions, Issaquah, Washington, USA.

Richard Barr (R)

The Surgical Hospital at Southwoods, Boardman, Ohio, USA.

Paul Carson (P)

University of Michigan, Ann Arbor, Michigan, USA.

Mathieu Couade (M)

SuperSonic Imagine, Aix-en-Provence, France.

Jun Chen (J)

Mayo Clinic, Rochester, Minnesota, USA.

Shigao Chen (S)

Mayo Clinic, Rochester, Minnesota, USA.

Manish Dhyani (M)

Massachusetts General Hospital, Boston, Massachusetts, USA.

Richard Ehman (R)

Mayo Clinic, Rochester, Minnesota, USA.

Brian Garra (B)

US Food and Drug Administration, Silver Spring, Maryland, USA.

Albert Gee (A)

Zonare Medical Systems, Mountain View, California, USA.

Gilles Guenette (G)

Toshiba Medical Research Institute, Redmond, Washington, USA.

Zaegyoo Hah (Z)

Samsung Medison, Seoul, South Korea.

Ted Lynch (T)

CIRS, Inc, Norfolk, Virginia, USA.

Michael Macdonald (M)

GE Healthcare, Milwaukee, Wisconsin, USA.

Ravi Managuli (R)

Hitachi Healthcare, Twinsburg, Ohio, USA.

Kathryn R Nightingale (KR)

Duke University, Durham, North Carolina, USA.

Nancy Obuchowski (N)

The Cleveland Clinic, Cleveland, Ohio, USA.

Ned C Rouze (NC)

Duke University, Durham, North Carolina, USA.

D Cody Morris (DC)

Duke University, Durham, North Carolina, USA.

Shana Fielding (S)

Duke University, Durham, North Carolina, USA.

Yufeng Deng (Y)

Duke University, Durham, North Carolina, USA.

Derek Chan (D)

Duke University, Durham, North Carolina, USA.

Kingshuk Choudhury (K)

Duke University, Durham, North Carolina, USA.

Siyun Yang (S)

Duke University, Durham, North Carolina, USA.

Anthony E Samir (AE)

Massachusetts General Hospital, Boston, Massachusetts, USA.

Vijay Shamdasani (V)

Philips Research, Cambridge, Massachusetts, USA.

Matthew Urban (M)

Mayo Clinic, Rochester, Minnesota, USA.

Keith Wear (K)

US Food and Drug Administration, Silver Spring, Maryland, USA.

Hua Xie (H)

Philips Research, Cambridge, Massachusetts, USA.

Arinc Ozturk (A)

Massachusetts General Hospital, Boston, Massachusetts, USA.

Bo Qiang (B)

Mayo Clinic, Rochester, Minnesota, USA.

Pengfei Song (P)

Mayo Clinic, Rochester, Minnesota, USA.

Stephen McAleavey (S)

University of Rochester, Rochester, New York, USA.

Stephen Rosenzweig (S)

Siemens Medical Solutions, Issaquah, Washington, USA.

Michael Wang (M)

GE Healthcare, Milwaukee, Wisconsin, USA.

Yoko Okamura (Y)

Canon Medical Systems Corp, Otawara, Japan.

Glen McLaughlin (G)

Zonare Medical Systems, Mountain View, California, USA.

Yuling Chen (Y)

Zonare Medical Systems, Mountain View, California, USA.

David Napolitano (D)

Zonare Medical Systems, Mountain View, California, USA.

Lindsey Carlson (L)

University of Wisconsin, Madison, Wisconsin, USA.

Todd Erpelding (T)

Canon Medical Systems Corp, Otawara, Japan.

Timothy J Hall (TJ)

University of Wisconsin, Madison, Wisconsin, USA.

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