Evidence map›Paper›PMID 42270856›Full record

ArticleEuropean radiology2026

Comparison of automated breast ultrasound and hand-held breast ultrasound in preoperative evaluation of early-stage breast cancer: a multicenter prospective study.

Ji Soo Choi, Nami Choi, Jin Chung, Sun-Young Baek, Kyunga Kim, Jeoung Hyun Kim, Myoung Kyoung Kim, Boo-Kyung Han, Eun Sook Ko, Haejung Kim and 4 more

Abstract readMulticenter StudyComparative Study
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In one paragraph

Article in European radiology, 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

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Ji Soo ChoiDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Nami ChoiDepartment of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, South Korea.
Jin ChungDepartment of Radiology, College of Medicine, Ewha Womans University Mokdong Hospital, Seoul, South Korea.
Sun-Young BaekDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Kyunga KimDepartment of Digital Health, SAIHST Sungkyunkwan University, Seoul, South Korea.
Jeoung Hyun KimDepartment of Radiology, College of Medicine, Ewha Womans University Mokdong Hospital, Seoul, South Korea.
Myoung Kyoung KimDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Boo-Kyung HanDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Eun Sook KoDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Haejung KimDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Surin ParkDepartment of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, South Korea.
Jai Min RyuDivision of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Byung Joo ChaeDivision of Breast Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Eun Young KoDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea. claudel@skku.edu.ORCID http://orcid.org/0000-0001-6679-9650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare automated breast ultrasound (ABUS) and handheld breast ultrasound (HHUS) as adjuncts to digital mammography (DM) for preoperative assessment of local tumor extent in women with newly diagnosed early-stage breast cancer. MATERIALS AND

methodsIn this prospective study conducted at three institutions, women with newly diagnosed early-stage breast cancer and no palpable axillary nodes scheduled for surgery underwent ABUS and HHUS adjunct to DM between Oct 2019 and Apr 2021. The primary outcome was the sensitivity of ABUS with DM (ABUS/DM) and HHUS with DM (HHUS/DM) for detecting additional ipsilateral or contralateral cancers beyond the index cancer. ABUS/DM was evaluated for noninferiority with a prespecified margin of 5%. Specificity was assessed as a secondary outcome.

resultsA total of 659 patients (mean age, 50.5 ± 9 years) were included. Seventy-nine patients (12.0%) had additional cancers: 64 ipsilateral (51 multifocal, 13 multicentric) and 15 contralateral. For index cancers, both ABUS/DM and HHUS/DM achieved 100% detection. ABUS/DM showed noninferior sensitivity to HHUS/DM for additional ipsilateral cancers (71.9% vs. 75.0%; p = 0.617) and higher sensitivity than HHUS/DM for contralateral cancers (86.7% vs. 60.0%; p = 0.046). Specificity did not differ significantly between ABUS/DM and HHUS/DM for additional ipsilateral (97.7% vs. 97.0%; p = 0.317) or contralateral (97.8% vs. 98.3%; p = 0.467) cancers.

conclusionABUS/DM showed noninferior sensitivity to HHUS/DM, with similar specificity for detecting additional ipsilateral and contralateral breast cancers in early-stage breast cancer. ABUS may serve as a feasible alternative to HHUS for preoperative staging in early-stage breast cancer. KEY POINTS: Question Is automated breast ultrasound (ABUS) noninferior to handheld ultrasound (HHUS), each with digital mammography (DM), in preoperative staging of tumor extent in early-stage breast cancer? Findings ABUS/DM demonstrated noninferior sensitivity to HHUS/DM, with similar specificity for detecting additional ipsilateral and contralateral cancers in early-stage breast cancer. Clinical relevance ABUS may serve as a feasible alternative to HHUS for preoperative staging in early-stage breast cancer, particularly in clinical settings where the HHUS use is constrained by limited staffing resources and time restrictions.

Indexed as

Breast NeoplasmsUltrasonography, MammaryAdultAgedFemaleHumansMammographyMiddle AgedNeoplasm StagingPreoperative CareProspective StudiesSensitivity and SpecificityBreastNeoplasmsPreoperative careUltrasonography

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Registered trials

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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.