ArticleBreast cancer (Dove Medical Press)2012
Current and emerging quantitative magnetic resonance imaging methods for assessing and predicting the response of breast cancer to neoadjuvant therapy.
Article in Breast cancer (Dove Medical Press), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 37 citations in OpenAlex.
- Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: preliminary results.Magnetic resonance imaging · 2013Trial
- Prediction of early clinical response to neoadjuvant chemotherapy in Triple-negative breast cancer: Incorporating Radiomics through breast MRI.Scientific reports · 2024Article
- Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting.Breast cancer research : BCR · 2021Article
- Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL.NPJ breast cancer · 2020Article
- Contradiction between amide-CEST signal and pH in breast cancer explained with metabolic MRI.NMR in biomedicine · 2019Article
- Role of perfusion parameters on DCE-MRI and ADC values on DWMRI for invasive ductal carcinoma at 3.0 Tesla.World journal of surgical oncology · 2018Article
- Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop.Medical physics · 2018Article
- Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.Journal of magnetic resonance imaging : JMRI · 2018Article
- Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis.Journal of medical imaging (Bellingham, Wash.) · 2018Article
- Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting.Seminars in oncology nursing · 2017Review
- Influence of water compartmentation and heterogeneous relaxation on quantitative magnetization transfer imaging in rodent brain tumors.Magnetic resonance in medicine · 2016Article
- Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer.NMR in biomedicine · 2015Article
- Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy.Magnetic resonance in medicine · 2015Article
- Sodium 3D COncentration MApping (COMA 3D) using (23)Na and proton MRI.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2014Article
- Quantitative magnetization transfer imaging of rodent glioma using selective inversion recovery.NMR in biomedicine · 2014Article
- Dynamic contrast-enhanced magnetic resonance imaging in prostate cancer clinical trials: potential roles and possible pitfalls.Translational oncology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Reliable early assessment of breast cancer response to neoadjuvant therapy (NAT) would provide considerable benefit to patient care and ongoing research efforts, and demand for accurate and noninvasive early-response biomarkers is likely to increase. Response assessment techniques derived from quantitative magnetic resonance imaging (MRI) hold great potential for integration into treatment algorithms and clinical trials. Quantitative MRI techniques already available for assessing breast cancer response to neoadjuvant therapy include lesion size measurement, dynamic contrast-enhanced MRI, diffusion-weighted MRI, and proton magnetic resonance spectroscopy. Emerging yet promising techniques include magnetization transfer MRI, chemical exchange saturation transfer MRI, magnetic resonance elastography, and hyperpolarized MR. Translating and incorporating these techniques into the clinical setting will require close attention to statistical validation methods, standardization and reproducibility of technique, and scanning protocol design.
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.