3D Automated Breast Ultrasound System: Comparison of Interpretation Time of Senior Versus Junior Radiologist.

Automated breast ultrasound average time of ABUS breast cancer breast ultrasonography interpretation time of ABUS

Journal

European journal of breast health
ISSN: 2587-0831
Titre abrégé: Eur J Breast Health
Pays: Turkey
ID NLM: 101709357

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 13 11 2018
accepted: 28 01 2019
entrez: 18 7 2019
pubmed: 18 7 2019
medline: 18 7 2019
Statut: epublish

Résumé

This study aimed to compare the automated breast ultrasound system (ABUS) reading time of breast radiologist to a radiology resident independent of the clinical outcomes. One hundred women who underwent screening ABUS between July and August 2017 were reviewed retrospectively. Each study was examined sequentially by a breast radiologist who has more than 20 years of experience in breast radiology and third year resident who has 6 months of experience in breast radiology. Data were analyzed with Spearman' correlation, Wilcoxon Signed Ranks Test and Kruskal-Wallis Test and was recorded. The mean age of patients was 42.02±11.423 years (age range16-66). The average time for senior radiologist was 223.36±84.334 seconds (min 118 max 500 seconds). The average time for junior radiologist was 269.48±82.895 seconds (min 150 max 628 seconds). There was a significant difference between the mean time of two radiologists (p=0.00001). There was a significant difference regarding the decrease in the reading time throughout study with the increase of number of cases read by the breast radiologist (p<0.05); but not with the resident radiologist (p=0.687). There was a correlation between BI-RADS category and reading time for both the breast radiologist and the resident (p=0.002, p=0.00043 respectively) indicating that patients who had findings caused longer reading times. ABUS reading time may differ according to the experience of the user, however the times of an experienced and non-experienced user is comparable.

Identifiants

pubmed: 31312790
doi: 10.5152/ejbh.2019.4468
pii: ejbh-15-3-153
pmc: PMC6619783
doi:

Types de publication

Journal Article

Langues

eng

Pagination

153-157

Déclaration de conflit d'intérêts

Conflict of Interest: The authors have no conflicts of interest to declare.

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Auteurs

Aydan Arslan (A)

Department of Radiology, Acıbadem Mehmet Ali Aydınlar University School of Medicine, İstanbul, Turkey.

Gökhan Ertaş (G)

Department of Biomedical Engineering, Yeditepe University School of Engineering, İstanbul, Turkey.

Erkin Arıbal (E)

Department of Radiology, Acıbadem Mehmet Ali Aydınlar University School of Medicine, İstanbul, Turkey.

Classifications MeSH