ReviewMagnetic resonance imaging2011
Magnetic resonance in the era of molecular imaging of cancer.
Review in Magnetic resonance imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- Discrimination and anatomical mapping of PET-positive lesions: comparison of CT attenuation-corrected PET images with coregistered MR and CT images in the abdomen.European journal of nuclear medicine and molecular imaging · 2013Trial
- Noninvasive in vivo imaging of macrophages: understanding tumor microenvironments and delivery of therapeutics.Biomarker research · 2025Review
- EGFR-Targeted Perfluorohexane Nanodroplets for Molecular Ultrasound Imaging.Nanomaterials (Basel, Switzerland) · 2022Article
- Mathematical modelling of trastuzumab-induced immune response in an in vivo murine model of HER2+ breast cancer.Mathematical medicine and biology : a journal of the IMA · 2019Article
- Dual integrin αvβ 3 and NRP-1-Targeting Paramagnetic Liposome for Tumor Early Detection in Magnetic Resonance Imaging.Nanoscale research letters · 2018Article
- Multimodal Molecular Imaging: Current Status and Future Directions.Contrast media & molecular imaging · 2018Review
- Detecting human melanoma cell re-differentiation following BRAF or heat shock protein 90 inhibition using photoacoustic and magnetic resonance imaging.Scientific reports · 2017Article
- Improving Perfusion Measurement in DSC-MR Imaging with Multiecho Information for Arterial Input Function Determination.AJNR. American journal of neuroradiology · 2016Article
- Functional assessment of glioma pathogenesis by in vivo multi-parametric magnetic resonance imaging and in vitro analyses.Scientific reports · 2016Article
- MR Imaging Biomarkers in Oncology Clinical Trials.Magnetic resonance imaging clinics of North America · 2016Review
- Self-assembled polymeric nanoparticles as new, smart contrast agents for cancer early detection using magnetic resonance imaging.International journal of nanomedicine · 2015Article
- Molecular imaging in the era of personalized medicine.Journal of pathology and translational medicine · 2015Review
- Vessel caliber--a potential MRI biomarker of tumour response in clinical trials.Nature reviews. Clinical oncology · 2014Review
- A physiological perspective on the use of imaging to assess the in vivo delivery of therapeutics.Annals of biomedical engineering · 2014Review
- Advance of molecular imaging technology and targeted imaging agent in imaging and therapy.BioMed research international · 2014Review
- Sensing lanthanide metal content in biological tissues with magnetic resonance spectroscopy.Sensors (Basel, Switzerland) · 2013Article
- Imaging analysis of hepatoblastoma resectability across neoadjuvant chemotherapy.Journal of pediatric surgery · 2013Article
- Surgical resection of malignant gliomas-role in optimizing patient outcome.Nature reviews. Neurology · 2013Review
- PET-MR imaging using a tri-modality PET/CT-MR system with a dedicated shuttle in clinical routine.Magma (New York, N.Y.) · 2013Review
- Ultrasonic enhancement of drug penetration in solid tumors.Frontiers in oncology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Magnetic resonance imaging (MRI) has played an important role in the diagnosis and management of cancer since it was first developed, but other modalities also continue to advance and provide complementary information on the status of tumors. In the future, there will be a major continuing role for noninvasive imaging in order to obtain information on the location and extent of cancer, as well as assessments of tissue characteristics that can monitor and predict treatment response and guide patient management. Developments are currently being undertaken that aim to provide improved imaging methods for the detection and evaluation of tumors, for identifying important characteristics of tumors such as the expression levels of cell surface receptors that may dictate what types of therapy will be effective and for evaluating their response to treatments. Molecular imaging techniques based mainly on radionuclide imaging can depict numerous, specific, cellular and molecular markers of disease and have unique potential to address important clinical and research challenges. In this review, we consider what continuing and evolving roles will be played by MRI in this era of molecular imaging. We discuss some of the challenges for MRI of detecting imaging agents that report on molecular events, but highlight also the ability of MRI to assess other features such as cell density, blood flow and metabolism which are not specific hallmarks of cancer but which reflect molecular changes. We discuss the future role of MRI in cancer and describe the use of selected quantitative imaging techniques for characterizing tumors that can be translated to clinical applications, particularly in the context of evaluating novel treatments.
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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.