πŸš€Clinical Research

Adding Ultrasound to Mammography Reduced Incidence of Advanced Breast Cancer by 17 Percent in Women in Their 40s

LancetΒ·August 21, 2026AI Curation
Adding Ultrasound to Mammography Reduced Incidence of Advanced Breast Cancer by 17 Percent in Women in Their 40s
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Background

Breast cancer is a leading cause of death among women worldwide. Detecting cancer at an early stage is crucial for significantly improving survival rates. However, Asian women often have a higher prevalence of dense breast tissue, which limits the effectiveness of conventional screening methods. Standard diagnostic mammography struggles to detect tumors due to its inability to penetrate dense breast tissue. The medical community has therefore focused on adjunctive ultrasonography as a complementary approach to address these limitations. To evaluate the clinical effectiveness of this strategy, Japanese researchers initiated the large-scale randomized controlled trial J-START. In 2016, they reported an initial analysis showing that adding ultrasound to mammography could improve screening sensitivity, but this also increased the false positive rate, leaving the question of real survival benefits unresolved.

Key Findings

The latest secondary analysis, published in The Lancet, demonstrates the long-term effectiveness of this combined screening approach. Narumi Harada-Shoji, a doctoral researcher at Tohoku University Graduate School of Medicine, and her team randomly assigned 72,661 women in their 40s to either an intervention group (36,723 women) receiving both mammography and ultrasound or a control group (35,938 women) receiving mammography alone. The study followed participants for a median of 11.4 years. A total of 894 breast cancers were detected in the intervention group and 843 in the control group. When comparing the proportion of advanced breast cancers (stage 2 or higher), a clear difference was observed between the two groups. The intervention group had 234 cases of advanced breast cancer, accounting for 26 percent of all detected cancers, while the control group had 277 cases, representing 33 percent of all detected cancers. The hazard ratio (HR) for the cumulative incidence of advanced breast cancer in the intervention group was 0.83, 17 percent lower than in the control group (95.6% confidence interval [CI] 0.70–0.98, p=0.026). The difference in cumulative incidence rates became significant four years after the start of screening and reached its maximum at the eighth year before stabilizing.

Significance and Outlook

This study is considered a landmark in demonstrating that adjunctive ultrasonography not only detects more breast cancers but also reduces the actual incidence of advanced breast cancers with poor prognoses. It provides meaningful evidence for shaping national cancer screening policies in Asian countries, such as South Korea and Japan, where a relatively high proportion of women have dense breast tissue. However, concerns remain about whether the results from this clinical trial can be directly applied to large-scale national screening programs. Ultrasound interpretation is highly dependent on the skill of the operator, and untrained personnel conducting large-scale screenings may lead to increased diagnostic errors, unnecessary biopsies, and re-examinations, which can heighten patient anxiety and increase healthcare costs. Additionally, the difficulty in rapidly securing a sufficient number of trained medical professionals to meet nationwide screening demands is another challenge. Ultimately, for adjunctive ultrasound screening to deliver real benefits, it is essential to establish standardized guidelines to ensure consistent quality of the examinations.

Narumi Harada-Shoji and colleagues report that adjunctive ultrasonography reduced the cumulative incidence of advanced breast cancer (stage 2 or higher) in women aged 40–49 years (hazard ratio 0Β·83, 95Β·6% CI 0Β·70–0Β·98) in the J-START trial.1 As a breast surgeon involved in population-based screening in Japan, I recognise this landmark achievement. However, the clinical trial conditions enabling this result might not be reproducible at scale.

πŸ’¬Why it matters:

This finding provides important academic evidence for revising national health screening guidelines for women with dense breast tissue. It addresses the diagnostic limitations of mammography alone and helps prevent the progression to stage 2 or higher advanced cancers. Particularly in the healthcare industry, the adoption of high-quality solutions such as automated breast ultrasound (ABUS) systems and artificial intelligence (AI)-assisted diagnostic software is expected to accelerate in order to reduce inter-observer variability in ultrasound interpretation. In clinical practice, improving the accuracy of lesion detection can significantly reduce unnecessary re-examinations and biopsies, thereby lowering patient anxiety and contributing to improved quality of life through early breast cancer detection and increased rates of breast-conserving surgery.

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