ReviewNMR in biomedicine2017
Diffusion MRI in early cancer therapeutic response assessment.
Review in NMR in biomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed, 94 citations in OpenAlex.
- Developing a Pipeline for Multiparametric MRI-Guided Radiation Therapy: Initial Results from a Phase II Clinical Trial in Newly Diagnosed Glioblastoma.Tomography (Ann Arbor, Mich.) · 2019Trial
- Automated Apparent Diffusion Coefficient Measurement of Breast Tumors in Diffusion-weighted MRI for Early Neoadjuvant Chemotherapy Response Assessment.Radiology. Imaging cancer · 2026Article
- Early Detection of Cell Death Using Transmembrane Water Exchange Magnetic Resonance Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Apparent diffusion coefficient as a quantitative biomarker for prostate cancer treatment response on a 1.5 Tesla magnetic resonance-linear accelerator: Impact of image registration and acquisition type.Physics and imaging in radiation oncology · 2025Article
- Response of GEM models of neuroblastoma to cabozantinib assessed by multiparametric magnetic resonance imaging.Neoplasia (New York, N.Y.) · 2025Article
- Standardization and advancements efforts in breast diffusion-weighted imaging.Japanese journal of radiology · 2025Review
- Potential mechanisms and clinical applications of static magnetic field therapy in glioma.Frontiers in neurology · 2025Review
- Utility of interim apparent diffusion coefficient value in predicting treatment response among patients with locally advanced cervical cancer treated with radiotherapy.Clinical and translational radiation oncology · 2024Article
- Delta-radiomics features of ADC maps as early predictors of treatment response in lung cancer.Insights into imaging · 2024Article
- Prediction of radiologic outcome-optimized dose plans and post-treatment magnetic resonance images: A proof-of-concept study in breast cancer brain metastases treated with stereotactic radiosurgery.Physics and imaging in radiation oncology · 2024Article
- Correlation of KJournal for immunotherapy of cancer · 2024Article
- Repeatability and reproducibility of prostate apparent diffusion coefficient values on a 1.5 T magnetic resonance linear accelerator.Physics and imaging in radiation oncology · 2024Article
- Whole Process of Standardization of Diffusion-Weighted Imaging: Phantom Validation and Clinical Application According to the QIBA Profile.Diagnostics (Basel, Switzerland) · 2024Article
- Motion-robust, blood-suppressed, reduced-distortion diffusion MRI of the liver.Magnetic resonance in medicine · 2023Article
- Methodological considerations on segmenting rhabdomyosarcoma with diffusion-weighted imaging-What can we do better?Insights into imaging · 2023Review
- Viability of AMURA biomarkers from single-shell diffusion MRI in clinical studies.Frontiers in neuroscience · 2023Article
- Improved geometric accuracy of whole body diffusion-weighted imaging at 1.5T and 3T using reverse polarity gradients.Scientific reports · 2022Article
- Article
- Parametric Response Mapping of FLAIR MRI Provides an Early Indication of Progression Risk in Glioblastoma.Academic radiology · 2021Article
- Predicting pathologic response to neoadjuvant chemotherapy in patients with locally advanced breast cancer using multiparametric MRI.BMC medical imaging · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Imaging biomarkers for the predictive assessment of treatment response in patients with cancer earlier than standard tumor volumetric metrics would provide new opportunities to individualize therapy. Diffusion-weighted MRI (DW-MRI), highly sensitive to microenvironmental alterations at the cellular level, has been evaluated extensively as a technique for the generation of quantitative and early imaging biomarkers of therapeutic response and clinical outcome. First demonstrated in a rodent tumor model, subsequent studies have shown that DW-MRI can be applied to many different solid tumors for the detection of changes in cellularity as measured indirectly by an increase in the apparent diffusion coefficient (ADC) of water molecules within the lesion. The introduction of quantitative DW-MRI into the treatment management of patients with cancer may aid physicians to individualize therapy, thereby minimizing unnecessary systemic toxicity associated with ineffective therapies, saving valuable time, reducing patient care costs and ultimately improving clinical outcome. This review covers the theoretical basis behind the application of DW-MRI to monitor therapeutic response in cancer, the analytical techniques used and the results obtained from various clinical studies that have demonstrated the efficacy of DW-MRI for the prediction of cancer treatment response. Copyright © 2016 John Wiley & Sons, Ltd.
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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.