ArticleMagnetic resonance in medicine2025
Joint estimation of compartment-specific T
Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- Physics-Assisted Deep Learning Denoising for Stabilized IMPULSED dMRI Microenvironment Parameter Fitting.ArXiv · 2026Article
- Effects of echo time and modeling of compartmental T2 on VERDICT parameter estimation in brain tumors.Magma (New York, N.Y.) · 2026Article
- Development of Linear Interpolation System for SMK Model Parameters Evaluated from Cellular-Scale Simulation (LISMEC) and its application to BNCT dosimetry.Journal of radiation research · 2026Article
- Repeatability of in vivo MR cytometry for measuring cell size and density in healthy human livers.Magnetic resonance imaging · 2026Article
- Clinically feasible liver tumour cell size measurement through histology-informed in vivo diffusion MRI.Communications medicine · 2025Article
- Noninvasive assessment of liver inflammation in metabolic dysfunction associated steatohepatitis using MR cytometry.Npj imaging · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
purposeThis study aims to assess how T2 heterogeneity biases IMPULSED-derived metrics of tissue microstructure in solid tumors and evaluate the potential of estimating multi-compartmental T2 and microstructural parameters simultaneously.
methodsThis study quantifies the impact of T2 relaxation on IMPULSED-derived microstructural parameters using computer simulations and in vivo multi-TE IMPULSED MRI in five tumor models, including brain, breast, prostate, melanoma, and colon cancer. A comprehensive T
resultsSimulations suggest that T2 heterogeneity has a minor effect on the estimation of d in tissues with intermediate or high cell density, but significantly biases the estimation of
conclusionsThe findings from this study highlight two key observations: (i) TE has a negligible impact on IMPULSED-derived cell sizes, and (ii) the TE-dependence of IMPULSED-derived intracellular volume fractions used in T
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Registered trials
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