ArticleJapanese journal of radiology2023
Prediction of breast cancer risk by automated volumetric breast density measurement.
Article in Japanese journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Article
- Bridging across the pacific: overview of the 33rd annual meeting of the Japanese breast cancer society.Breast cancer (Tokyo, Japan) · 2026Review
- Evaluation of AI diagnostic systems for breast ultrasound: comparative analysis with radiologists and the effect of AI assistance.Japanese journal of radiology · 2025Article
- The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Review
- Association between patient position-induced breast shape changes on prone and supine MRI and mammographic breast density or thickness.Japanese journal of radiology · 2025Observational
- Review
- Equity in breast cancer screening for Asian women with dense breasts through ultrasonography: lessons learned from Japanese mammography screening and the J-START trial.Ultrasonography (Seoul, Korea) · 2025Article
- Machine learning-based classification model to differentiate subtypes of invasive breast cancer using MRI.Frontiers in oncology · 2025Article
- Comparison of state-of-the-art biopsy systems for ultrasound-guided breast biopsy using a chicken breast phantom.Journal of medical ultrasonics (2001) · 2024Article
- AI Use in Mammography for Diagnosing Metachronous Contralateral Breast Cancer.Journal of imaging · 2024Article
- Investigation of imaging features in contrast-enhanced magnetic resonance imaging of benign and malignant breast lesions.Japanese journal of radiology · 2024Article
- Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence.Frontiers in oncology · 2024Article
- Clinical Utility of Breast Ultrasound Images Synthesized by a Generative Adversarial Network.Medicina (Kaunas, Lithuania) · 2023Article
- Examining the effectiveness of a deep learning-based computer-aided breast cancer detection system for breast ultrasound.Journal of medical ultrasonics (2001) · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeDense breast (DB) is recognized as a breast cancer (BC) risk factor. Although DB is common in Japanese women, the incidence of BC is lower than in Caucasians. We evaluated whether DB is a risk factor or whether there are other risk factors for BC in Japanese women. MATERIALS AND
methodsWe retrospectively analyzed 635 BC patients and 999 controls who received a mammography at our hospital between February 2019 and March 2021. Volumetric breast density percentage (VBD%), breast volume (BV), and fibroglandular volume (FGV) were measured using Volpara
resultsOf the BC group and the control group, 77% and 79% had DB. The stratified FGV was positively associated with BC risk (odds ratio: 2.84; 95% confidence interval 1.58-5.12; P < 0.001). No significant association was found between either the VBD% or BV and BC risk.
conclusionThe proportion of Japanese women with DB was high, suggesting that DB might not be significantly associated with BC risk. However, our results also suggested that the FGV may be related to BC risk in Japanese women.
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