Altered probe pressure and body position increase diagnostic accuracy for men and women in detecting hepatic steatosis using quantitative ultrasound.

Fatty liver Magnetic resonance imaging Patient positioning Sex factors Ultrasonography

Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
08 Mar 2024
Historique:
received: 14 11 2023
accepted: 16 01 2024
revised: 14 12 2023
medline: 9 3 2024
pubmed: 9 3 2024
entrez: 8 3 2024
Statut: aheadofprint

Résumé

To evaluate the diagnostic performance of ultrasound guided attenuation parameter (UGAP) for evaluating liver fat content with different probe forces and body positions, in relation to sex, and compared with proton density fat fraction (PDFF). We prospectively enrolled a metabolic dysfunction-associated steatotic liver disease (MASLD) cohort that underwent UGAP and PDFF in the autumn of 2022. Mean UGAP values were obtained in supine and 30° left decubitus body position with normal 4 N and increased 30 N probe force. The diagnostic performance was evaluated by the area under the receiver operating characteristic curve (AUC). Among 60 individuals (mean age 52.9 years, SD 12.9; 30 men), we found the best diagnostic performance with increased probe force in 30° left decubitus position (AUC 0.90; 95% CI 0.82-0.98) with a cut-off of 0.58 dB/cm/MHz. For men, the best performance was in supine (AUC 0.91; 95% CI 0.81-1.00) with a cut-off of 0.60 dB/cm/MHz, and for women, 30° left decubitus position (AUC 0.93; 95% CI 0.83-1.00), with a cut-off 0.56 dB/cm/MHz, and increased 30 N probe force for both genders. No difference was in the mean UGAP value when altering body position. UGAP showed good to excellent intra-reproducibility (Intra-class correlation 0.872; 95% CI 0.794-0.921). UGAP provides excellent diagnostic performance to detect liver fat content in metabolic dysfunction-associated steatotic liver diseases, with good to excellent intra-reproducibility. Regardless of sex, the highest diagnostic accuracy is achieved with increased probe force with men in supine and women in 30° left decubitus position, yielding different cut-offs. The ultrasound method ultrasound-guided attenuation parameter shows excellent diagnostic accuracy and performs with good to excellent reproducibility. There is a possibility to alter body position and increase probe pressure, and different performances for men and women should be considered for the highest accuracy. • There is a possibility to alter body position when performing the ultrasound method ultrasound-guided attenuation parameter. • Increase probe pressure for the highest accuracy. • Different performances for men and women should be considered.

Identifiants

pubmed: 38459346
doi: 10.1007/s00330-024-10655-1
pii: 10.1007/s00330-024-10655-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Cancer Research Foundation in Northern Sweden
ID : LP 20-2221
Organisme : Forskningsrådet i Sydöstra Sverige
ID : 752871

Informations de copyright

© 2024. The Author(s).

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Auteurs

Marie Byenfeldt (M)

Department of Radiology in Östersund, Östersund, Sweden. marie.byenfeldt@umu.se.
Department of Radiation Science, Umeå University, Umeå, Sweden. marie.byenfeldt@umu.se.
Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden. marie.byenfeldt@umu.se.
Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden. marie.byenfeldt@umu.se.

Johan Kihlberg (J)

Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Department of Radiology in Linköping, Linköping, Sweden.

Patrik Nasr (P)

Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

Christer Grönlund (C)

Department of Radiation Science, Umeå University, Umeå, Sweden.

Anna Lindam (A)

Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.

Wolf C Bartholomä (WC)

Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Department of Radiology in Linköping, Linköping, Sweden.

Peter Lundberg (P)

Department of Radiation Physics, Linköping University, Linköping, Sweden.
Department of Medical and Health Science in Linköping University, Linköping, Sweden.
Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.

Mattias Ekstedt (M)

Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

Classifications MeSH