Trial reportJournal of clinical oncology : official journal of the American Society of Clinical Oncology2005
Mammography, breast ultrasound, and magnetic resonance imaging for surveillance of women at high familial risk for breast cancer.
Trial report in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 283 papers, 5 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
283 citing papers in PubMed, 5 syntheses or guidelines pooled it, 1,144 citations in OpenAlex.
- Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis.Frontiers in oncology · 2022Pooled it
- Ultrasound for Breast Cancer Detection Globally: A Systematic Review and Meta-Analysis.Journal of global oncology · 2019Pooled it
- Racial and ethnic differences in knowledge and attitudes about genetic testing in the US: Systematic review.Journal of genetic counseling · 2019Pooled it
- Baseline Surveillance in Li-Fraumeni Syndrome Using Whole-Body Magnetic Resonance Imaging: A Meta-analysis.JAMA oncology · 2017Pooled it
- Contribution of mammography to MRI screening in BRCA mutation carriers by BRCA status and age: individual patient data meta-analysis.British journal of cancer · 2016Pooled it
- Comparison of ultrasound and mammography for early diagnosis of breast cancer among Chinese women with suspected breast lesions: A prospective trial.Thoracic cancer · 2022Trial
- Diagnosis of breast masses from dynamic contrast-enhanced and diffusion-weighted MR: a machine learning approach.PloS one · 2014Trial
- Screening Breast MRI and Genetic Testing Utilization in High-risk Population: Analysis of National Health Interview Survey.Journal of breast imaging · 2026Article
- Article
- Breast Imaging Reporting and Data System v2025: Key Updates in Mammography.Journal of the Korean Society of Radiology · 2026Review
- Application of treatment response assessment maps (TRAMs), based on delayed-contrast MRI for radiomic characterization of breast lesions.Scientific reports · 2026Article
- Microwave Metasurface-Based Sensor with Artificial Intelligence for Early Breast Tumor Detection.Micromachines · 2026Article
- Prospective Multicenter Study Comparing Magnetic Resonance Imaging and Ultrasonography for Second Breast Cancer Surveillance in Women With Prior Breast Cancer and Dense Breasts: KBCSG-27 Trial.Journal of breast cancer · 2025Article
- Preoperative Predictors of Subsequent Breast Cancer Events Detected on Abbreviated MRI in Patients with Early-Stage Breast Cancer.Diagnostics (Basel, Switzerland) · 2025Article
- A Systematic Review of the Cost-Effectiveness of Screening Modalities for Breast Cancer in European Countries.Cancers · 2025Review
- OneTouch Automated Photoacoustic and Ultrasound Imaging of Breast in Standing Pose.IEEE transactions on medical imaging · 2025Article
- Performance of breast MRI for high-risk screening during lactation.European radiology · 2025Article
- Discrimination Between Benign and Malignant Lesions With Restriction Spectrum Imaging MRI in an Enriched Breast Cancer Screening Cohort.Journal of magnetic resonance imaging : JMRI · 2025Article
- Optimizing breast MRI diagnosis: the Kaiser Score's impact on reducing unnecessary biopsies.European radiology · 2025Article
- Barriers to early detection: Insurance denials for breast MRI screening in women with germline BRCA1/2 mutations.Gynecologic oncology · 2025Article
223 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo compare the effectiveness of mammography, breast ultrasound, and magnetic resonance imaging (MRI) for surveillance of women at increased familial risk for breast cancer (lifetime risk of 20% or more). PATIENTS AND
methodsWe conducted a surveillance cohort study of 529 asymptomatic women who, based on their family history and/or mutational analysis, were suspected or proven to carry a breast cancer susceptibility gene (BRCA). A total of 1,542 annual surveillance rounds were completed with a mean follow-up of 5.3 years. Diagnostic accuracies of the three imaging modalities used alone or in different combinations were compared.
resultsForty-three breast cancers were identified in the total cohort (34 invasive, nine ductal carcinoma-in-situ). Overall sensitivity of diagnostic imaging was 93% (40 of 43 breast cancers); overall node-positive rate was 16%, and one interval cancer occurred (one of 43 cancers, or 2%). In the analysis by modality, sensitivity was low for mammography (33%) and ultrasound (40%) or the combination of both (49%). MRI offered a significantly higher sensitivity (91%). The sensitivity of mammography in the higher risk groups was 25%, compared with 100% for MRI. Specificity of MRI (97.2%) was equivalent to that of mammography (96.8%).
conclusionMammography alone, and also mammography combined with breast ultrasound, seems insufficient for early diagnosis of breast cancer in women who are at increased familial risk with or without documented BRCA mutation. If MRI is used for surveillance, diagnosis of intraductal and invasive familial or hereditary cancer is achieved with a significantly higher sensitivity and at a more favorable stage.
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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.