ArticleEuropean radiology2012
Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging.
Article in European radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.
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
75 citing papers in PubMed, 2 syntheses or guidelines pooled it, 152 citations in OpenAlex.
- Diagnostic performance of MRI for assessing axillary lymph node status after neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.European radiology · 2024Pooled it
- Assessment of blood-brain barrier disruption using dynamic contrast-enhanced MRI. A systematic review.NeuroImage. Clinical · 2014Pooled it
- Trial
- Assessment of Progression-Free-Survival in Glioblastomas by Intratreatment Dynamic Contrast-Enhanced MRI.Clinical neuroradiology · 2016Trial
- Hyperthermic Laser Ablation of Recurrent Glioblastoma Leads to Temporary Disruption of the Peritumoral Blood Brain Barrier.PloS one · 2016Trial
- Dynamic Contrast Enhanced-Magnetic Resonance Fingerprinting (DCE-MRF) Improves Detection of Induced Vascular Perfusion Reduction in a Mouse Breast Cancer Model.Magnetic resonance in medicine · 2026Article
- The utilization of CEUS and SWE for predicting pathological complete response to neoadjuvant chemotherapy for invasive breast cancer.Scientific reports · 2026Article
- Prospective Evaluation of Contrast-enhanced Mammography for Early Prediction of Pathologic Response after Neoadjuvant Therapy.Radiology. Imaging cancer · 2025Article
- Prediction of peritoneal free cancer cells in gastric cancer patients by golden-angle radial sampling dynamic contrast-enhanced magnetic resonance imaging.Journal of Zhejiang University. Science. B · 2024Article
- Initial experience in implementing quantitative DCE-MRI to predict breast cancer therapy response in a multi-center and multi-vendor platform setting.Frontiers in oncology · 2024Article
- PDZK1 is correlated with DCE-MRI perfusion parameters in high-grade glioma.Clinics (Sao Paulo, Brazil) · 2024Article
- Microvascular proliferation is associated with high tumour blood flow by mpMRI and disease progression in primary prostate cancer.Scientific reports · 2023Article
- Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023Review
- Advances in Bone Marrow Imaging: Strengths and Limitations from a Clinical Perspective.Seminars in musculoskeletal radiology · 2023Article
- Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study.BMC medical imaging · 2022Article
- DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021Article
- Descriptive analysis of MRI functional changes occurring during reduced dose radiotherapy for myxoid liposarcomas.The British journal of radiology · 2021Article
- Quantitative dynamic contrast-enhanced MRI and readout segmentation of long variable echo-trains diffusion-weighted imaging in differentiating parotid gland tumors.Neuroradiology · 2021Article
- Quantifying MRIThe British journal of radiology · 2021Article
- Quantifying lumbar vertebral perfusion by a Tofts model on DCE-MRI using segmental versus aortic arterial input function.Scientific reports · 2021Observational
15 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
30 authors at 20 institutions in 3 countries.
Funding
Abstract
Many therapeutic approaches to cancer affect the tumour vasculature, either indirectly or as a direct target. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has become an important means of investigating this action, both pre-clinically and in early stage clinical trials. For such trials, it is essential that the measurement process (i.e. image acquisition and analysis) can be performed effectively and with consistency among contributing centres. As the technique continues to develop in order to provide potential improvements in sensitivity and physiological relevance, there is considerable scope for between-centre variation in techniques. A workshop was convened by the Imaging Committee of the Experimental Cancer Medicine Centres (ECMC) to review the current status of DCE-MRI and to provide recommendations on how the technique can best be used for early stage trials. This review and the consequent recommendations are summarised here. Key Points • Tumour vascular function is key to tumour development and treatment • Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can assess tumour vascular function • Thus DCE-MRI with pharmacokinetic models can assess novel treatments • Many recent developments are advancing the accuracy of and information from DCE-MRI • Establishing common methodology across multiple centres is challenging and requires accepted guidelines.
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.