ArticleAsia-Pacific journal of clinical oncology2026
Enhancing Diagnostic Precision in Breast Cancer Detection: A Digital Breast Tomosynthesis Workshop Approach for Clinicians in the Southeast Asian Population.
Article in Asia-Pacific journal of clinical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Enhancing Diagnostic Precision in Breast Cancer Detection: A Digital Breast Tomosynthesis Workshop Approach for Clinicians in the Southeast Asian Population.Asia-Pacific journal of clinical oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundThis study investigated the impact of Digital Breast Tomosynthesis (DBT) training workshops on doctors' performance in simultaneous-double-reader scenarios.
methodsTen pairs of Vietnamese readers, including radiologists, registrars, and breast physicians, participated in the workshop, which featured lectures and breast image reading sessions provided by Australian experts. The first session included a test set of 30 screening full-field digital mammograms (FFDM) (10 cancers and 20 normal cases) with DBT images provided during the answer review stage. The second session with 35 cases (15 cancer) and session 3 with 30 cases (11 cancer) consisted of screening FFDM mammograms, DBT slices, and synthesized images. Participants used the BREAST-VIETRAD platform to view breast images and detect cancer lesions using the RANZCR-BIRADS scale. The study assessed performance disparities between the first and second DBT sets using the Wilcoxon Signed Rank test and explored the correlation between score changes and reader experience.
resultsThere were significant improvements in the readers' sensitivity (0.553 vs. 0.91; p = 0.005) and lesion sensitivity (0.419 vs. 0.709; p = 0.005) from the first to the second DBT set, matching the sensitivity seen in FFDM sets. This improvement was consistent across both low and high breast density cases. Notable enhancements in lesion sensitivity were also observed for detecting masses (0.340 vs. 0.633; p = 0.011), calcifications, and architectural distortions (0.450 vs. 0.933; p = 0.011). The probability of score improvement (ROC AUC and JAFROC FOM) in DBT of pairs of readers with both less than 3 years of experience in reading mammograms is five times greater than those with over 5 years of experience.
conclusionsTraining sessions with simultaneous-double readers significantly improved Vietnamese clinicians' breast cancer detection capabilities, highlighting the importance of tailored educational programs to enhance diagnostic accuracy in regions lacking formal screening initiatives.
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.