ArticleFrontiers in neurology
Deep learning-based reconstruction improves MRI image quality and diagnostic performance for carotid atherosclerotic plaques.
Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To evaluate the image quality and diagnostic performance of fast magnetic resonance imaging with deep learning-based reconstruction (MRI Methods: Sixty-nine patients were recruited between May 2022 and April 2024. Imaging was performed using a 3.0 T MRI system (SIGNA™ Architect, GE Healthcare) with a 19-channel head-neck coil. Image quality was assessed objectively [measuring signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR)], subjectively (evaluating overall image quality, noise, contrast, artifacts, sharpness and diagnostic performance). All statistical analyses were performed using R software version 4.4.2, with agreement among results assessed using Cohen's Results: The average scanning time was reduced by 12.4 min (approximately 63.2%) for MRI Conclusion: MRI
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.