ArticleAcademic radiology2024
Improved Diffusion-Weighted Hyperpolarized
Article in Academic radiology, 2024. 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
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
6 citing papers in PubMed.
- Deep Learning Reconstruction forMagnetic resonance in medicine · 2026Article
- Technologies and Strategies for Metabolic and Molecular Imaging With Hyperpolarized MRI.Journal of magnetic resonance imaging : JMRI · 2026Review
- Comparative evaluation of supervised and unsupervised deep learning strategies for denoising hyperpolarizedMagnetic resonance in medicine · 2026Article
- Magnetic Resonance Imaging in the Clinical Evaluation of Lung Disorders: Current Status and Future Prospects.Journal of magnetic resonance imaging : JMRI · 2025Review
- Article
- Compressed sensing reconstruction for high-SNR, rapid dissolvedMagnetic resonance in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
RATIONALE AND
objectivesHyperpolarized xenon ( MATERIALS AND
methodsGLHOSVD denoising was employed in simulated images and gas phantoms with known diffusion coefficients to validate its effectiveness and optimize parameters for analysis of diffusion-weighted
resultsDenoising significantly increased SNR in simulated, phantom, and in-vivo images, showing a greater than 2-fold increase (p < 0.001) across diffusion-weighted images. Although mean ADC and DDC remained unchanged (p > 0.05), ADC and DDC standard deviation decreased significantly in denoised images (p < 0.001).
conclusionWhen applied to diffusion-weighted
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.