Automated 3D ultrasound bridges the gap between novices and experts in diameter assessment of abdominal aortic aneurysms.


Journal

International angiology : a journal of the International Union of Angiology
ISSN: 1827-1839
Titre abrégé: Int Angiol
Pays: Italy
ID NLM: 8402693

Informations de publication

Date de publication:
26 Sep 2024
Historique:
medline: 26 9 2024
pubmed: 26 9 2024
entrez: 26 9 2024
Statut: aheadofprint

Résumé

The current management of abdominal aortic aneurysm (AAA) hinges upon assessing diameter using ultrasound (US). Diameter reproducibility with conventional two-dimensional ultrasound (2D-US) is challenging and requires experienced operators. A novel automatic three-dimensional ultrasound (3D-US) system enables on-cart software-assisted diameter estimation (3D-SAUS), potentially facilitating more precise diameter measurements than 2D-US. This study aimed to assess the variance of AAA diameter measurements among US novices and experts by comparing 2D-US with 3D-SAUS in a clinical setting. A total of 580 US scans were scheduled by 29 US operators (13 experts and 16 novices) on 10 patients with AAAs. Experts and novices measured all patients' AAA anterior-posterior (AP) diameters with 2D-US and 3D-SAUS. Outcomes were limits of agreement (LoA) using a mixed-effects model. In total, 564 of 580 planned US scans were performed. 500 US scans were automatically analyzed by the software and included. When using 3D-SAUS instead of 2D-US, novices reduced their LoA from ±16.5% to ±10.2% (P<0.001), reaching the experts' LoA of ±10.5% (P=0.782 for difference). The experts' LoA was ±10.5% for 2D-US and ±9.7% for 3D-SAUS, with no statistically significant difference between the two modalities (P=0.423). Clinical implementation of the 3D-SAUS demonstrates a substantial reduction in variance in AAA diameter measurements among novice sonographers, surpassing the performance of conventional 2D-US techniques. Additionally, using the 3D-SAUS tool enables novice sonographers to achieve proficiency levels comparable to those of experts employing conventional 2D-US.

Sections du résumé

BACKGROUND BACKGROUND
The current management of abdominal aortic aneurysm (AAA) hinges upon assessing diameter using ultrasound (US). Diameter reproducibility with conventional two-dimensional ultrasound (2D-US) is challenging and requires experienced operators. A novel automatic three-dimensional ultrasound (3D-US) system enables on-cart software-assisted diameter estimation (3D-SAUS), potentially facilitating more precise diameter measurements than 2D-US. This study aimed to assess the variance of AAA diameter measurements among US novices and experts by comparing 2D-US with 3D-SAUS in a clinical setting.
METHODS METHODS
A total of 580 US scans were scheduled by 29 US operators (13 experts and 16 novices) on 10 patients with AAAs. Experts and novices measured all patients' AAA anterior-posterior (AP) diameters with 2D-US and 3D-SAUS. Outcomes were limits of agreement (LoA) using a mixed-effects model.
RESULTS RESULTS
In total, 564 of 580 planned US scans were performed. 500 US scans were automatically analyzed by the software and included. When using 3D-SAUS instead of 2D-US, novices reduced their LoA from ±16.5% to ±10.2% (P<0.001), reaching the experts' LoA of ±10.5% (P=0.782 for difference). The experts' LoA was ±10.5% for 2D-US and ±9.7% for 3D-SAUS, with no statistically significant difference between the two modalities (P=0.423).
CONCLUSIONS CONCLUSIONS
Clinical implementation of the 3D-SAUS demonstrates a substantial reduction in variance in AAA diameter measurements among novice sonographers, surpassing the performance of conventional 2D-US techniques. Additionally, using the 3D-SAUS tool enables novice sonographers to achieve proficiency levels comparable to those of experts employing conventional 2D-US.

Identifiants

pubmed: 39325058
pii: S0392-9590.24.05278-7
doi: 10.23736/S0392-9590.24.05278-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Natasha M Svendsen (NM)

Department of Vascular Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark - natasha.monzon.svendsen.02@regionh.dk.
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark - natasha.monzon.svendsen.02@regionh.dk.

Jonas P Eiberg (JP)

Department of Vascular Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark.

Laurence Rouet (L)

Philips Health Technology Innovation, Paris, France.

Qasam M Ghulam (QM)

Department of Vascular Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.

Lene T Skovgaard (LT)

Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark.

Magdalena Broda (M)

Department of Vascular Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.

Alexander Zielinski (A)

Department of Vascular Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.

Karin Yeung (K)

Department of Vascular Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Ulver S Lorenzen (US)

Department of Vascular Surgery, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Classifications MeSH