ReviewCureus2021
Magnetic Resonance Imaging Features in Different Types of Invasive Breast Cancer: A Systematic Review of the Literature.
Review in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed, 18 citations in OpenAlex.
- Clinical Applications and Decision-Making Impact of Contrast-Enhanced Mammography and MRI: A Recent Structured Review.Diagnostics (Basel, Switzerland) · 2026Review
- Morphologic and Diffusion-weighted MRI Characteristics of Axillary Lymph Nodes for Predicting Metastasis in Breast Cancer Patients: A Quantitative Analysis.Current medical imaging · 2026Article
- Graph neural network-based multi-label classification of breast cancer using multiparametric MRI and clinical features.Discover oncology · 2025Article
- Machine learning-based classification of histological subtypes of invasive breast cancer using MRI contralateral breast texture features.Scientific reports · 2025Article
- Diagnostic value of mammography combined with ultrasound shear wave elastography and magnetic resonance imaging in breast cancer.Oncology letters · 2025Article
- Diagnostic dilemma of lobular carcinoma: a mini-review of imaging modalities and the role of artificial intelligence and radiomics.Frontiers in oncology · 2025Review
- Meta-analysis of the synergistic effect of magnetic resonance imaging and mammography in breast cancer detection in women with dense breasts.American journal of translational research · 2025Review
- Assessing Breast Cancer through Tumor Microenvironment Mapping of Collagen and Other Biomolecule Spectral Fingerprints─A Review.ACS sensors · 2024Review
- Correlations of Imaging and Therapy in Breast Cancer Based on Molecular Patterns: An Important Issue in the Diagnosis of Breast Cancer.International journal of molecular sciences · 2024Review
- Magnetic resonance imaging of the breast: Could it be used as a screening test?Saudi medical journal · 2024Article
- Clinical and Imaging Features of MRI Screen-Detected Breast Cancer.Clinical breast cancer · 2024Article
- Differentiation of invasive ductal and lobular carcinoma of the breast using MRI radiomic features: a pilot study.F1000Research · 2024Article
- Non-enhancing malignant lesions of the breast: A case report and review of literature.Heliyon · 2023Article
- Clinical-radiomics nomogram for identifying HER2 status in patients with breast cancer: A multicenter study.Frontiers in oncology · 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
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is the most common malignancy affecting women worldwide, and early diagnosis of breast cancer is the key to its successful and effective treatment. Traditional imaging techniques such as mammography and ultrasound are used to detect and configure breast abnormalities; unfortunately, these modalities have low sensitivity and specificity, particularly in young patients with dense breast tissue, breast implants, or post-surgical scar/architecture distortions. Therefore, breast magnetic resonance imaging (MRI) has been superior in the characterization and detection of breast cancer, especially that with invasive features. This review article explores the importance of breast MRI in the early detection of invasive breast cancer versus traditional tools, including mammography and ultrasound, while also analyzing the use of MRI as a screening tool for high-risk women. We will also discuss the different MRI features for invasive ductal carcinoma and lobular carcinoma and the role of breast MRI in the detection of ductal carcinoma in situ with a focus on the utilization of new techniques, including MR spectroscopy and diffusion-weighted imaging.
Indexed as
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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.