SynthesisThoracic cancer2021
Diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging for breast cancer detection: An update meta-analysis.
Synthesis in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 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
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- The diagnostic performance of ultrafast MRI to differentiate benign from malignant breast lesions: a systematic review and meta-analysis.European radiology · 2024Pooled it
- Diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging for breast cancer detection: An update meta-analysis.Thoracic cancer · 2021Pooled it
- Quantitative assessment of perfusion-weighted magnetic resonance imaging for the differential diagnosis of various intraocular lesions.Neuroradiology · 2026Article
- Second-Look Ultrasonography for Evaluating BIRADS 3 and 4 Non Mass-Enhancement: A Cross-Sectional Study.Health science reports · 2026Article
- Lesion conspicuity assessment of prone 40-keV virtual monoenergetic imaging in arterial-phase photon-counting CT for breast cancer: a retrospective comparison with DCE-MRI.Japanese journal of radiology · 2026Article
- AI-Driven Breast Cancer Diagnosis: A Systematic Review of Imaging Modalities, Deep Learning, and Explainability.Cancers · 2026Review
- Optimizing Deep Learning Models for Luminal and Nonluminal Breast Cancer Classification Using Multidimensional ROI in DCE-MRI-A Multicenter Study.Cancer medicine · 2025Article
- Improvement in breast lesion classification utilizing deep learning and treatment response assessment maps (TRAMs).Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Article
- Performance of an AI-powered visualization software platform for precision surgery in breast cancer patients.NPJ breast cancer · 2024Article
- Review
- Diffusion weighted imaging for improving the diagnostic performance of screening breast MRI: impact of apparent diffusion coefficient quantitation methods and cutoffs.Frontiers in oncology · 2024Article
- Improved Fuzzy C-Means Clustering Algorithm-Based Dynamic Contrast-Enhanced Magnetic Resonance Imaging Features in the Diagnosis of Invasive Breast Carcinoma before and after Menopause.Computational and mathematical methods in medicine · 2022Article
- Effect of Neoadjuvant Chemotherapy on Angiogenesis and Cell Proliferation of Breast Cancer Evaluated by Dynamic Enhanced Magnetic Resonance Imaging.BioMed research international · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for breast cancer identification.
methodsA comprehensive electronic systematic searching of Medline, Ovid, EMBASE, Web of Science, CNK, and Cochrane Library databases was performed up to 2 August 2021. Clinical studies associated with DCE-MRI for breast cancer detection were screened and inlcuded in the meta-analysis. The data of true positive(tp), false positive(fp), false negative(fn) and true negative(tn) was extracted from includded studies. The sensitivity, specificity, diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) were pooled under fixed or random effect models. Publication bias was evaluated by Deek's funnel plot.
resultsA final set of 15 studies with 1321 breast lesions were included in the present work. The pooled diagnostic sensitivity, specificity, and DOR were 0.87 (95% confidence interval [CI] 0.81-0.92), 0.74 (95% CI 0.68-0.80), and 18.83 (95% CI 9.07-36.54), respectively, and the area under the SROC was 0.86 (95% CI 0.82-0.88). Given a pretest probability of 50%, the positive post-test probability was 77%, and the negative post-test probability was 14%. Deek's funnel plot indicated low publication bias (p = 0.61).
conclusionDCE-MRI is a noninvasive method of breast cancer diagnosis for suspected malignant breast lesions with relative high diagnostic sensitivity and specificity.
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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.