ReviewJournal of personalized medicine2021
Pros and Cons for Automated Breast Ultrasound (ABUS): A Narrative Review.
Review in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.
- ESR Essentials: diagnostic work-up in patients with symptomatic breast disease-practice recommendations by the European Society of Breast Imaging.European radiology · 2025Guideline
- Effectiveness of AI-CAD Software for Breast Cancer Detection in Automated Breast Ultrasound.Journal of imaging informatics in medicine · 2026Article
- Automated Breast Ultrasound in Dense-Breast Screening: Beyond Additional Cancer Detection.Korean journal of radiology · 2026Article
- Non-Mass Lesions on Automated Breast Ultrasound: An Exploratory Analysis of Imaging Features Associated with Malignancy and Differentiation from Transient Non-Mass ABUS Findings.Diagnostics (Basel, Switzerland) · 2026Article
- Portable, real-time 3D ultrasound for operator-independent breast imaging.Nature communications · 2026Article
- The additive value of 3D automated breast ultrasound and contrast enhanced spectral mammography in the assessment of suspicious breast lesions.Journal of the Egyptian National Cancer Institute · 2026Article
- Article
- Comparison of Digital Mammography Plus Full ABUS Review and Digital Mammography Plus Selective ABUS Review Guided by ABUS Artificial Intelligence-Computer-Aided Diagnosis for Breast Cancer Screening.Korean journal of radiology · 2026Article
- Comparison of Clinical Performance Between Digital Breast Tomosynthesis and MammouS-N.Tomography (Ann Arbor, Mich.) · 2026Article
- Screening Outcomes of Supplemental Automated Breast Ultrasound in Women With Nondense Breasts Undergoing Mammography.Korean journal of radiology · 2026Article
- Comparative Diagnostic Efficacy of Four Breast Imaging Modalities in Dense Breasts: A Single-Center Retrospective Study.Biomedicines · 2025Article
- Implementation of an automated breast ultrasound system in an academic radiology department: Lesson learned in the first three years.European journal of radiology open · 2025Article
- Ductal Carcinoma In Situ: Non-Mass Enhancement on MRI 10 Years Before Mammographic Microcalcifications.Journal of the advanced practitioner in oncology · 2025Article
- Toward In Vivo Cancer Detection: X-Ray Scattering on Thick Phantom Samples.Molecules (Basel, Switzerland) · 2025Article
- A nomogram for diagnosis of BI-RADS 4 breast nodules based on three-dimensional volume ultrasound.BMC medical imaging · 2025Article
- Breast Cancer Detection on Dual-View Sonography via Data-Centric Deep Learning.IEEE open journal of engineering in medicine and biology · 2025Article
- Conformable Ultrasound Breast Patch - The Future of Breast Cancer Screening?European journal of breast health · 2025Article
- An Innovative Thermal Imaging Prototype for Precise Breast Cancer Detection: Integrating Compression Techniques and Classification Methods.Bioengineering (Basel, Switzerland) · 2024Article
- Diagnostic accuracy of supplemental three-dimensional breast ultrasound in the work-up of BI-RADS 0 screening recalls.Insights into imaging · 2024Article
- Evaluating the Role of Breast Ultrasound in Early Detection of Breast Cancer in Low- and Middle-Income Countries: A Comprehensive Narrative Review.Bioengineering (Basel, Switzerland) · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automated breast ultrasound (ABUS) is an ultrasound technique that tends to be increasingly used as a supplementary technique in the evaluation of patients with dense glandular breasts. Patients with dense breasts have an increased risk of developing breast cancer compared to patients with fatty breasts. Furthermore, for this group of patients, mammography has a low sensitivity in detecting breast cancers, especially if it is not associated with architectural distortion or calcifications. ABUS is a standardized examination with many advantages in both screening and diagnostic settings: it increases the detection rate of breast cancer, improves the workflow, and reduces the examination time. On the other hand, like any imaging technique, ABUS has disadvantages and even some limitations. Many disadvantages can be diminished by additional attention and training. Disadvantages regarding image acquisition are the inability to assess the axilla, the vascularization, and the elasticity of a lesion, while concerning the interpretation, the disadvantages are the artifacts due to poor positioning, lack of contact, motion or lesion related. This article reviews and discusses the indications, the advantages, and disadvantages of the method and also the sources of error in the ABUS examination.
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Registered trials
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.