ArticleCureus2026
Effectiveness of Community-Based Breast Cancer Screening Using Full-Field Digital Mammography With Digital Breast Tomosynthesis in an Urban Population in Central India: An Observational Study.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Breast cancer is the most common malignancy among women worldwide and remains a leading cause of cancer-related mortality. In India, delayed presentation and limited access to organised screening programmes contribute to poorer outcomes. Community-based screening models, combined with advanced imaging techniques, may improve early detection. This study evaluates the effectiveness of screening mammography incorporating digital breast tomosynthesis (DBT) with synthesised two-dimensional imaging in a real-world urban population in Central India. Methods This community-based cross-sectional screening study involved retrospective analysis of prospectively collected data from 1275 women recruited through outreach programmes in Nagpur, India, between March 2019 and February 2020. All participants underwent full-field digital mammography (FFDM) with DBT. Imaging included two-dimensional craniocaudal views and three-dimensional mediolateral oblique tomosynthesis views, with reconstructed synthesised two-dimensional images for each breast. Breast density, BI-RADS (Breast Imaging Reporting and Data System) categories, and screening outcomes were recorded. Adjunct ultrasonography was performed in selected cases. Screening performance indicators, including cancer detection rate, recall rate, and positive predictive value for biopsy (PPV3), were calculated. Results A total of 1275 women were screened, with a mean age of 51 ± 8.09 years, and 95.8% were asymptomatic. Breast density was predominantly ACR Category B (57.4%), followed by Category C (30.2%). The majority of cases were categorised as BI-RADS 1 (75.5%) and BI-RADS 2 (15.6%), while 16 cases (1.3%) were classified as BI-RADS 4 lesions. A statistically significant association was observed between breast density and BI-RADS categories (p = 0.018), with higher BI-RADS categories more frequent in women with heterogeneously dense breasts. No significant association was found between age group and BI-RADS categories (p = 0.21). Histopathological correlation was available in four cases, with two confirmed malignancies. The cancer detection rate was 1.6 per 1000 women screened, the recall rate was 8.5%, and the PPV3 for biopsy was 50%. Conclusion Community-based breast cancer screening using FFDM combined with DBT and synthesised imaging is feasible and clinically effective in an Indian setting. DBT enhances the detection of small and occult lesions, particularly in women with dense breasts. Strengthening follow-up systems and expanding structured, imaging-based screening programmes would significantly improve early detection and outcomes in resource-limited settings.
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.