ArticleKorean journal of radiology2020
Automated Breast Ultrasound: Interobserver Agreement, Diagnostic Value, and Associated Clinical Factors of Coronal-Plane Image Features.
Article in Korean journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Comparison of automated breast ultrasound and hand-held breast ultrasound in preoperative evaluation of early-stage breast cancer: a multicenter prospective study.European radiology · 2026Article
- BI-RADS v2025 for breast ultrasound: key updates and Asian perspectives.Ultrasonography (Seoul, Korea) · 2026Article
- Multimodal combined model integrating 2.5D deep learning and habitat radiomics for malignancy discrimination in ≤2 cm BI-RADS 4 breast lesions.Quantitative imaging in medicine and surgery · 2026Article
- Article
- Direct deep learning analysis of three-dimensional automated breast ultrasound videos with reading mode optimization for breast cancer diagnosis.Ultrasonography (Seoul, Korea) · 2026Article
- Predicting recurrent laryngeal nerve invasion by preoperative ultrasonography in patients with thyroid carcinoma.Quantitative imaging in medicine and surgery · 2023Article
- Article
- [Breast Imaging Reporting and Data System (BI-RADS): Advantages and Limitations].Journal of the Korean Society of Radiology · 2023Review
- How to Clearly and Accurately Report Odds Ratio and Hazard Ratio in Diagnostic Research Studies?Korean journal of radiology · 2022Article
- Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions.Diagnostics (Basel, Switzerland) · 2022Article
- Predicting the molecular subtypes of breast cancer using nomograms based on three-dimensional ultrasonography characteristics.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the interobserver agreement, diagnostic value, and associated clinical factors of automated breast ultrasound (ABUS) coronal features in differentiating breast lesions. MATERIALS AND
methodsThis study enrolled 457 pathologically confirmed lesions in 387 female (age, 46.4 ± 10.3 years), including 377 masses and 80 non-mass lesions (NMLs). The unique coronal features, including retraction phenomenon, hyper- or hypoechoic rim (continuous or discontinuous), skipping sign, and white wall sign, were defined and recorded. The interobserver agreement on image type and coronal features was evaluated. Furthermore, clinical factors, including the lesion size, distance to the nipple or skin, palpability, and the histological grade were analyzed.
resultsAmong the 457 lesions, 296 were malignant and 161 were benign. The overall interobserver agreement for image type and all coronal features was moderate to good. For masses, the retraction phenomenon was significantly associated with malignancies (
conclusionThe coronal plane of ABUS may provide useful diagnostic value for breast lesions.
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