ReviewCancers2023
Ultrasound for Breast Cancer Screening in Resource-Limited Settings: Current Practice and Future Directions.
Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Review
- Five-Year Breast Cancer Risk Prediction From Screening Breast Ultrasound Using Deep Learning.medRxiv : the preprint server for health sciences · 2026Article
- Diagnostic performance of multimodal ultrasonography for molecular subtyping of breast cancer: a retrospective study.Gland surgery · 2026Article
- Breast Cancer Screening Programs in China: Implementation, Challenges, and Future Perspectives.Korean journal of radiology · 2026Review
- The evidence for the use of peripheral blood indices in the diagnosis of breast cancer.The Journal of international medical research · 2026Review
- Multi-site observational evaluation of Breast AI™-supported ultrasound risk stratification in breast cancer assessment pathways.PloS one · 2026Observational
- Artificial intelligence for triple-negative breast cancer from imaging to multi-omics.Frontiers in oncology · 2026Review
- Breast Cancer Disparities in African and African-Ancestry Populations: Genetics, Epigenetics, Structural Barriers and Technology-Enabled Solutions.British journal of biomedical science · 2026Review
- Ultrasound viscosity imaging empowers BI-RADS: toward precise breast lesion diagnosis and analysis of HER2 status.Frontiers in oncology · 2026Article
- Multimodal deep learning for breast tumor classification: Integrating mammography and ultrasound for enhanced diagnostic accuracy.Journal of applied clinical medical physics · 2026Article
- An AI-enabled comprehensive breast ultrasound diagnostic system for low-resource settings without a sonographer or a radiologist.Scientific reports · 2025Article
- Low participation in cancer screening in India: a scoping review of breast and cervical cancer programs.BMC cancer · 2025Article
- Ultrasound and immunohistochemical predictors of neoadjuvant chemotherapy response in breast cancer.Translational cancer research · 2025Article
- Identification of the implementation influencing factors of the organized breast cancer screening in Ordos city: from caregivers' perspectives.BMC health services research · 2025Article
- Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy.PLOS digital health · 2025Article
- Development and validation of a screening model for benign and malignant breast masses based on S-Detect and microvascular flow imaging.Gland surgery · 2025Article
- Radiologic imaging and its current importance in breast cancer management.Frontiers in radiology · 2025Review
- Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning.The breast journal · 2025Article
- A review of papillary breast carcinoma in women attending a breast imaging centre in Johannesburg.SA journal of radiology · 2025Article
- Predictive value of ultrasound assessment of axillary and brachial artery parameters for lymph node metastasis in breast cancer patients.American journal of cancer research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Breast cancer (BC) is the most prevalent cancer among women globally. Cancer screening can reduce mortality and improve women's health. In developed countries, mammography (MAM) has been primarily utilized for population-based BC screening for several decades. However, it is usually unavailable in low-resource settings due to the lack of equipment, personnel, and time necessary to conduct and interpret the examinations. Ultrasound (US) with high detection sensitivity for women of younger ages and with dense breasts has become a supplement to MAM for breast examination. Some guidelines suggest using US as the primary screening tool in certain settings where MAM is unavailable and infeasible, but global recommendations have not yet reached a unanimous consensus. With the development of smart devices and artificial intelligence (AI) in medical imaging, clinical applications and preclinical studies have shown the potential of US combined with AI in BC screening. Nevertheless, there are few comprehensive reviews focused on the role of US in screening BC in underserved conditions, especially in technological, economical, and global perspectives. This work presents the benefits, limitations, advances, and future directions of BC screening with technology-assisted and resource-appropriate strategies, which may be helpful to implement screening initiatives in resource-limited countries.
Indexed as
Identifiers
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.