SynthesisKorean journal of radiology2021
Accuracy of Digital Breast Tomosynthesis for Detecting Breast Cancer in the Diagnostic Setting: A Systematic Review and Meta-Analysis.
Synthesis in Korean journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Performance of digital breast tomosynthesis with digital mammography for detecting breast cancer in the diagnostic setting: a meta-analysis.Clinical and experimental medicine · 2025Pooled it
- Performance of Digital Breast Tomosynthesis Versus Digital Mammography in Women With a Family History of Breast Cancer: A Systematic Review.Clinical breast cancer · 2025Pooled it
- Quality Reporting of Systematic Review and Meta-Analysis According to PRISMA 2020 Guidelines: Results from Recently Published Papers in theKorean journal of radiology · 2022Pooled it
- Zero-Shot Domain Adaptation of 2D Mammography Lesion Detection Model for 3D Breast CT Malignancy Detection.Cancers · 2026Article
- AAPM/EFOMP TG282 versus dance dosimetry for digital breast tomosynthesis in the assessment pathway of a breast screening program.Medical physics · 2026Article
- Local Diagnostic Reference Levels in Digital Breast Tomosynthesis.Journal of medical radiation sciences · 2025Article
- Stratifying Breast Lesion Risk Using BI-RADS: A Correlative Study of Imaging and Histopathology.Medicina (Kaunas, Lithuania) · 2025Article
- Clinical Application of Artificial Intelligence in Digital Breast Tomosynthesis.Journal of the Korean Society of Radiology · 2025Review
- Review
- Budget impact analysis of introducing digital breast tomosynthesis in breast cancer screening in Italy.La Radiologia medica · 2024Article
- Organizational impact of systemic implementation of digital breast tomosynthesis as a primary test for breast cancer screening in Italy.La Radiologia medica · 2024Article
- Arbeitsgemeinschaft Gynäkologische Onkologie Recommendations for the Diagnosis and Treatment of Patients with Early Breast Cancer: Update 2024.Breast care (Basel, Switzerland) · 2024Review
- [What is confirmed in the prevention, diagnostics and treatment of early breast cancer?]Innere Medizin (Heidelberg, Germany) · 2023Review
- Arbeitsgemeinschaft Gynäkologische Onkologie Recommendations for the Diagnosis and Treatment of Patients with Early Breast Cancer: Update 2023.Breast care (Basel, Switzerland) · 2023Review
- Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.European radiology · 2023Article
- Artificial intelligence computer-aided detection enhances synthesized mammograms: comparison with original digital mammograms alone and in combination with tomosynthesis images in an experimental setting.Breast cancer (Tokyo, Japan) · 2023Article
- AGO Recommendations for the Diagnosis and Treatment of Patients with Early Breast Cancer: Update 2022.Breast care (Basel, Switzerland) · 2022Review
- Guides for the Successful Conduct and Reporting of Systematic Review and Meta-Analysis of Diagnostic Test Accuracy Studies.Korean journal of radiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo compare the accuracy for detecting breast cancer in the diagnostic setting between the use of digital breast tomosynthesis (DBT), defined as DBT alone or combined DBT and digital mammography (DM), and the use of DM alone through a systematic review and meta-analysis. MATERIALS AND
methodsOvid-MEDLINE, Ovid-Embase, Cochrane Library and five Korean local databases were searched for articles published until March 25, 2020. We selected studies that reported diagnostic accuracy in women who were recalled after screening or symptomatic. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. A bivariate random effects model was used to estimate pooled sensitivity and specificity. We compared the diagnostic accuracy between DBT and DM alone using meta-regression and subgroup analyses by modality of intervention, country, existence of calcifications, breast density, Breast Imaging Reporting and Data System category threshold, study design, protocol for participant sampling, sample size, reason for diagnostic examination, and number of readers who interpreted the studies.
resultsTwenty studies (n = 44513) that compared DBT and DM alone were included. The pooled sensitivity and specificity were 0.90 (95% confidence interval [CI] 0.86-0.93) and 0.90 (95% CI 0.84-0.94), respectively, for DBT, which were higher than 0.76 (95% CI 0.68-0.83) and 0.83 (95% CI 0.73-0.89), respectively, for DM alone (
conclusionUse of DBT was more accurate than DM alone for the diagnosis of breast cancer. Women with clinical symptoms or abnormal screening findings could be more effectively evaluated for breast cancer using DBT, which has a superior diagnostic performance compared to DM alone.
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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.