ReviewMagnetic resonance imaging clinics of North America2016
MR Imaging Biomarkers in Oncology Clinical Trials.
Review in Magnetic resonance imaging clinics of North America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis 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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of TFrontiers in oncology · 2022Pooled it
- Real-Time Quantitative Assessment of Accuracy and Precision of Blood Volume Derived from DCE-MRI in Individual Patients During a Clinical Trial.Tomography (Ann Arbor, Mich.) · 2019Trial
- Evaluating a Cellular Microstructure Model Within Apoptotic Cell Death via Diffusion Magnetic Resonance and Long Diffusion Times.NMR in biomedicine · 2025Article
- Editorial: Dynamic contrast-enhanced imaging: technology progress and clinical application in oncology.Frontiers in oncology · 2025Article
- Dynamic Contrast Enhanced-MRI and Apparent Diffusion Coefficient Quantitation for Differentiate Hepatocellular Carcinoma from Hepatocellular Adenoma.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- An untrained deep learning method for reconstructing dynamic MR images from accelerated model-based data.Magnetic resonance in medicine · 2023Article
- Direct correlation of MRI with histopathology in pediatric renal tumors through the use of a patient-specific 3-D-printed cutting guide: a feasibility study.Pediatric radiology · 2023Article
- Dynamic contrast-enhanced magnetic resonance imaging for evaluating early response to radiosurgery in patients with vestibular schwannoma.Japanese journal of radiology · 2022Article
- Quantitative diffusion MRI of the abdomen and pelvis.Medical physics · 2022Article
- Early Response to Chemotherapy in Malignant Pleural Mesothelioma Evaluated Using Diffusion-Weighted Magnetic Resonance Imaging: Initial Observations.JTO clinical and research reports · 2021Article
- Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting.Breast cancer research : BCR · 2021Article
- Multimodal Molecular Imaging Detects Early Responses to Immune Checkpoint Blockade.Cancer research · 2021Article
- Medical physics challenges in clinical MR-guided radiotherapy.Radiation oncology (London, England) · 2020Review
- Gastric cancer and imaging biomarkers: Part 1 - a critical review of DW-MRI and CE-MDCT findings.European radiology · 2019Review
- MR Imaging-Histology Correlation by Tailored 3D-Printed Slicer in Oncological Assessment.Contrast media & molecular imaging · 2019Review
- Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.Magnetic resonance in medicine · 2019Article
- The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains.Magnetic resonance in medicine · 2018Article
- Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting.Journal of magnetic resonance imaging : JMRI · 2018Article
- Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging.Scientific reports · 2017Article
- Quantitative magnetic resonance imaging biomarkers in oncological clinical trials: Current techniques and standardization challenges.Chronic diseases and translational medicine · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
The authors discuss eight areas of quantitative MR imaging that are currently used (RECIST, DCE-MR imaging, DSC-MR imaging, diffusion MR imaging) in clinical trials or emerging (CEST, elastography, hyperpolarized MR imaging, multiparameter MR imaging) as promising techniques in diagnosing cancer and assessing or predicting response of cancer to therapy. Illustrative applications of the techniques in the clinical setting are summarized before describing the current limitations of the methods.
Indexed as
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.