ArticleActa radiologica open2018
Density and tailored breast cancer screening: practice and prediction - an overview.
Article in Acta radiologica open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Supplemental Screening as an Adjunct to Mammography for Breast Cancer Screening in People With Dense Breasts: A Health Technology Assessment.Ontario health technology assessment series · 2023Pooled it
- Breast ultrasound images for segmentation and classification using multi-task U-Net.Scientific reports · 2026Article
- Risk-adjusted breast screening: an Australian perspective and considerations for the Western Pacific.The Lancet regional health. Western Pacific · 2025Review
- [The possible benefit of artificial intelligence in an organized population-related screening program : Initial results and perspective].Radiologie (Heidelberg, Germany) · 2024Article
- Oncotype DX in Breast Cancer Management: Insights and Outcomes From the United Arab Emirates.Cureus · 2024Article
- A scoping review of programme specific mammographic breast density related guidelines and practices within breast screening programmes.European journal of radiology open · 2023Article
- Association Between Lifestyle Changes, Mammographic Breast Density, and Breast Cancer.The oncologist · 2022Review
- Mammographic density is a potential predictive marker of pathological response after neoadjuvant chemotherapy in breast cancer.BMC cancer · 2019Article
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 at 2 institutions in 2 countries.
Funding
Abstract
Mammography, as the primary screening modality, has facilitated a substantial decrease in breast cancer-related mortality in the general population. However, the sensitivity of mammography for breast cancer detection is decreased in women with higher breast densities, which is an independent risk factor for breast cancer. With increasing public awareness of the implications of a high breast density, there is an increasing demand for supplemental screening in these patients. Yet, improvements in breast cancer detection with supplemental screening methods come at the expense of increased false-positives, recall rates, patient anxiety, and costs. Therefore, breast cancer screening practice must change from a general one-size-fits-all approach to a more personalized, risk-based one that is tailored to the individual woman's risk, personal beliefs, and preferences, while accounting for cost, potential harm, and benefits. This overview will provide an overview of the available breast density assessment modalities, the current breast density screening recommendations for women at average risk of breast cancer, and supplemental methods for breast cancer screening. In addition, we will provide a look at the possibilities for a risk-adapted breast cancer screening.
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.