ArticleMagnetic resonance in medicine2021
MRI-cytometry: Mapping nonparametric cell size distributions using diffusion MRI.
Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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.
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Who cites it
21 citing papers in PubMed, 42 citations in OpenAlex.
- Physics-Assisted Deep Learning Denoising for Stabilized IMPULSED dMRI Microenvironment Parameter Fitting.ArXiv · 2026Article
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- Microstructural MRI combined with metabolic MRI to evaluate the progression-free survival of patients with glioblastoma at the early follow-up after tumor treating fields: a pilot study.BMC medical imaging · 2026Article
- Improving the diagnostic efficacy of MR cytometry in prostate cancer imaging.Abdominal radiology (New York) · 2026Article
- Time-dependent diffusion MRI for differentiating non‑small cell lung‑cancer brain metastases from breast‑cancer brain metastases and gliomas.Neuroradiology · 2026Article
- Non-Invasive Detection of Prostate Cancer with Novel Time-Dependent Diffusion MRI and AI-Enhanced Quantitative Radiological Interpretation: PROS-TD-AI.Journal of imaging · 2026Article
- Clinically feasible liver tumour cell size measurement through histology-informed in vivo diffusion MRI.Communications medicine · 2025Article
- Comprehensive characterization of tumor therapeutic response via simultaneous mapping of cell size, density, and transcytolemmal water exchange.Magnetic resonance imaging · 2025Article
- MATI: A GPU-accelerated toolbox for microstructural diffusion MRI simulation and data fitting with a graphical user interface.Magnetic resonance imaging · 2025Article
- Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025Review
- Tissue classification from raw diffusion-weighted images using machine learning.Medical physics · 2025Article
- Imaging Microstructural Parameters of Breast Tumor in Patient Using Time-Dependent Diffusion: A Feasibility Study.Diagnostics (Basel, Switzerland) · 2025Article
- Advancing the Collaboration Between Imaging and Radiation Oncology.Seminars in radiation oncology · 2024Review
- Variability of multidimensional diffusion-relaxation MRI estimates in the human brain.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Diffusion time dependency of extracellular diffusion.Magnetic resonance in medicine · 2023Article
- Review
- Multidimensional encoding of restricted and anisotropic diffusion by double rotation of theMagnetic resonance (Gottingen, Germany) · 2023Article
- Diffusion MRI signal cumulants and hepatocyte microstructure at fixed diffusion time: Insights from simulations, 9.4T imaging, and histology.Magnetic resonance in medicine · 2022Article
- MR cell size imaging with temporal diffusion spectroscopy.Magnetic resonance imaging · 2021Review
- Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
purposeThis report introduces and validates a new diffusion MRI-based method, termed MRI-cytometry, which can noninvasively map intravoxel, nonparametric cell size distributions in tissues.
methodsMRI was used to acquire diffusion MRI signals with a range of diffusion times and gradient factors, and a model was fit to these data to derive estimates of cell size distributions. We implemented a 2-step fitting method to avoid noise-induced artificial peaks and provide reliable estimates of tumor cell size distributions. Computer simulations in silico, experimental measurements on cultured cells in vitro, and animal xenografts in vivo were used to validate the accuracy and precision of the method. Tumors in 7 patients with breast cancer were also imaged and analyzed using this MRI-cytometry approach on a clinical 3 Tesla MRI scanner.
resultsSimulations and experimental results confirm that MRI-cytometry can reliably map intravoxel, nonparametric cell size distributions and has the potential to discriminate smaller and larger cells. The application in breast cancer patients demonstrates the feasibility of direct translation of MRI-cytometry to clinical applications.
conclusionThe proposed MRI-cytometry method can characterize nonparametric cell size distributions in human tumors, which potentially provides a practical imaging approach to derive specific histopathological information on biological tissues.
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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.