Evidence map›Paper›PMID 42360670›Full record

ArticleJournal of medical ultrasonics (2001)2026

Dynamic anatomical ultrasound assessment for breast lesions: a prospective study of diagnostic performance.

Ayumi Izumori, Yumi Kokubu, Takehiko Sakai, Futoshi Akiyama, Takuji Iwase, Woo Kyung Moon, Takayuki Ueno

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Article in Journal of medical ultrasonics (2001), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ayumi IzumoriBreast Oncology Center, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan. ayuizumori@gmail.com.ORCID http://orcid.org/0000-0002-9216-4162
Yumi KokubuDepartment of Ultrasound/IVR Diagnostic Imaging Center, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Takehiko SakaiBreast Oncology Center, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan.
Futoshi AkiyamaDepartment of Pathology, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Takuji IwaseBreast Oncology Center, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan.
Woo Kyung MoonDepartment of Radiology, Seoul National University College of Medicine, Seoul, South Korea.
Takayuki UenoBreast Oncology Center, The Cancer Institute Hospital of the Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo, 135-8550, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine whether a dynamic ultrasound approach, termed anatomical scanning and interpretation, improves diagnostic performance in differentiating benign from malignant breast lesions compared with conventional static-image BI-RADS assessment.

methodsThis prospective study evaluated 102 breast lesions (33 masses, 41 non-masses, and 28 distortions) classified as BI-RADS 3, 4a, or 4b. Fourteen ultrasound technologists underwent dedicated training in dynamic anatomical scanning and interpretation. Each lesion was evaluated using real-time video clips and independently categorized as requiring follow-up or biopsy. A subsequent physician-technologist consensus was performed. With histopathology as the reference standard, performance was assessed using ROC analysis, with AUC comparisons performed using the DeLong test.

resultsAmong 102 lesions (58 benign, 44 malignant), individual technologist interpretation with dynamic imaging significantly improved diagnostic performance (AUC = 0.748, p = 0.0191) over static BI-RADS assessment (AUC = 0.619). Physician-technologist consensus showed further significant improvement (AUC = 0.865, p < 0.0001). In subgroup analysis, dynamic interpretation outperformed static assessment for masses (AUC = 0.849, p = 0.0036), but not for non-mass lesions (AUC = 0.794) or distortions (AUC = 0.618). In contrast, physician-technologist consensus interpretation demonstrated superior performance compared with static assessment across all lesion types: masses (AUC = 0.879, p < 0.0001), non-mass lesions (AUC = 0.910, p = 0.0005), and distortions (AUC = 0.838, p = 0.0432).

conclusionDynamic anatomical scanning and interpretation significantly improve diagnostic performance over conventional static BI-RADS assessment. For non-mass lesions and architectural distortions, anatomical interpretation based on consensus between the physician and the technologist is considered essential to achieve optimal diagnostic accuracy.

Indexed as

BI-RADSBreastDiagnostic accuracyNon-mass lesionUltrasonography

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.