ArticleJournal of ultrasonography2022
Automated Breast Ultrasound (ABUS): A Pictorial Essay of Common Artifacts and Benign and Malignant Pathology.
Article in Journal of ultrasonography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 12 citations in OpenAlex.
- Patient-reported outcomes of automated breast ultrasound: considerations for screening modality selection, based on a prospective observational survey.Annals of surgical treatment and research · 2025Article
- Monitoring Pharmacological Treatment of Breast Cancer with MRI.Current issues in molecular biology · 2025Review
- Ultrasound-based comparative assessment of ipsilateral vs. contralateral axillary lymph nodes in breast cancer patients - a pilot study.Frontiers in oncology · 2025Article
- 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
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automated breast ultrasound is a three-dimensional ultrasonographic technique allowing the evaluation of women with dense glandular breast tissue. In this group of patients, mammography has a low sensitivity because dense breasts can obscure breast cancer on mammogram. On the other hand, women with dense breast tissue, types C and D on the BI-RADS scale, are at an increased risk of developing breast cancer compared to women with fatty breast tissue. Automated breast ultrasound is a standardized and reproducible ultrasound technique which improves breast cancer detection and is promising in the screening and diagnostic settings: it increases the detection of breast cancer, and helps to differentiate benign and malignant lesions. Unfortunately, automated breast ultrasound also has its limitations and disadvantages due to artifacts caused by poor positioning, and lesion and patient characteristics. Many artifacts can be avoided by training and experience of the performing technician. Furthermore, familiarity of the interpreting breast radiologist with these artifacts and pitfalls will decrease false negative diagnosis of true lesions.
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What OpenQuestion holds
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.