Diagnostic performance of coronal view in comparison with transverse view of three-dimensional automated breast ultrasound.


Journal

Acta radiologica (Stockholm, Sweden : 1987)
ISSN: 1600-0455
Titre abrégé: Acta Radiol
Pays: England
ID NLM: 8706123

Informations de publication

Date de publication:
Jan 2021
Historique:
pubmed: 7 4 2020
medline: 20 1 2021
entrez: 7 4 2020
Statut: ppublish

Résumé

Automated breast ultrasound (ABUS) is one of the first ultrasound devices which enables the de-coupling of image acquisition and interpretation. Another feature of ABUS is the coronal view, utilizing three-dimensional volume data reconstructed from two-dimensional transverse images acquired automatically. To assess the diagnostic performance of coronal view interpretation by comparing it with that of the transverse view. This was a retrospective, multi-case, observer study using a cancer-enriched dataset of ABUS images at a single institution with approval by an Institutional Review Board. The 100 scan datasets selected between October 2014 and January 2017 included 70 non-cancer cases and 30 malignancies. In the present observer study, two experienced physicians provided their confidence levels regarding the malignancy of each of the 100 scan datasets independently. The reading times for interpretation of coronal and transverse views were recorded. Area under the receiver operating characteristic curves for two observers with the transverse view (0.856) was improved by use of the coronal view (0.917, It is conceivable that the accurate use of the coronal view will lead to improvement in diagnostic performance in breast cancer screening, although this needs to be confirmed with a larger prospective study.

Sections du résumé

BACKGROUND BACKGROUND
Automated breast ultrasound (ABUS) is one of the first ultrasound devices which enables the de-coupling of image acquisition and interpretation. Another feature of ABUS is the coronal view, utilizing three-dimensional volume data reconstructed from two-dimensional transverse images acquired automatically.
PURPOSE OBJECTIVE
To assess the diagnostic performance of coronal view interpretation by comparing it with that of the transverse view.
MATERIAL AND METHODS METHODS
This was a retrospective, multi-case, observer study using a cancer-enriched dataset of ABUS images at a single institution with approval by an Institutional Review Board. The 100 scan datasets selected between October 2014 and January 2017 included 70 non-cancer cases and 30 malignancies. In the present observer study, two experienced physicians provided their confidence levels regarding the malignancy of each of the 100 scan datasets independently. The reading times for interpretation of coronal and transverse views were recorded.
RESULTS RESULTS
Area under the receiver operating characteristic curves for two observers with the transverse view (0.856) was improved by use of the coronal view (0.917,
CONCLUSION CONCLUSIONS
It is conceivable that the accurate use of the coronal view will lead to improvement in diagnostic performance in breast cancer screening, although this needs to be confirmed with a larger prospective study.

Identifiants

pubmed: 32249597
doi: 10.1177/0284185120913706
doi:

Types de publication

Comparative Study Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

27-33

Auteurs

Megumi Suzuki (M)

Center for Breast Diseases and Breast Cancer, Hokuto Hospital and Clinic, Hokkaido, Japan.

Ryohei Nakayama (R)

Department of Electronic and Computer Engineering, Ritsumeikan University, Kyoto, Japan.

Kiyoshi Namba (K)

Center for Breast Diseases and Breast Cancer, Hokuto Hospital and Clinic, Hokkaido, Japan.

Hiroyuki Kawami (H)

Center for Breast Diseases and Breast Cancer, Hokuto Hospital and Clinic, Hokkaido, Japan.

Mayumi Nara (M)

Center for Breast Diseases and Breast Cancer, Hokuto Hospital and Clinic, Hokkaido, Japan.

Ralph L Smathers (RL)

Mammography Specialists Medical Group, Inc., Los Gatos, CA, USA.

Seigo Nakamura (S)

Breast Center, Showa University Hospital, Tokyo, Japan.

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Classifications MeSH