ArticleQuantitative imaging in medicine and surgery2025
Application of AI-assisted compressed sensing in high resolution Gd-EOB-DTPA-enhanced MRI during hepatobiliary phase at 5.0 T.
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Intraindividual comparison of 3-T and 5-T gadoxetic acid-enhanced MRI for evaluating HCC: initial findings.Abdominal radiology (New York) · 2026Article
- Application of 3T contrast-enhanced Dixon water-fat separation coronary magnetic resonance angiography with artificial intelligence-assisted compressed sensing on coronary artery aneurysm in children with Kawasaki disease.Translational pediatrics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Liver tumor lesions are usually evaluated through magnetic resonance imaging (MRI), and currently the magnetic resonance field strengths are mainly 1.5 T and 3.0 T. There are relatively few reports on the application of 5.0 T ultra-high field MRI. This study aimed to quantitatively and qualitatively analyze the display and image quality of liver lesions using artificial intelligence (AI)-assisted compression sensing (ACS) combined with 5.0T ultra-high field MRI, and compare it with the traditional parallel imaging (PI) technique. This study also aimed to compare the image quality and lesion detection rate of hepatobiliary phase (HBP) imaging using PI and ACS of gadolinium ethoxybenzyl diethylenetriaminepentaacetic acid (Gd-EOB-DTPA)-enhanced MRI at 5.0 T ultra-high magnetic field. Methods: A total of 133 patients with suspected liver tumor lesions were recruited. All patients underwent 5.0 T ultra-high field Gd-EOB-DTPA-enhanced MRI, including axial three-dimensional (3D) fast spoiled gradient echo sequence using PI (PI-quick-3D), coronal PI-quick-3D, and axial quick-3D sequence using ACS during HBP. Two radiologists independently analyzed all images and recorded the location and number of lesions. To evaluate the image quality, objective scores (including signal-to-noise ratio, contrast-to-noise ratio, contrast ratio, and image sharpness) and subjective scores (including image artifacts, lesion margin clarity, liver edge clarity, vessel clarity, bile duct clarity, and overall image quality) were performed on both PI and ACS images. Weighted kappa test was performed to assess the consistency of subjective scores between the two readers. Either the chi-square or Wilcoxon signed-rank test was used to compare the differences in objective and subjective indices between the PI and ACS images. Results: The scanning time between the PI and ACS methods was similar (17 Conclusions: Compared to the traditional HBP imaging using PI, Gd-EOB-DTPA-enhanced MRI based on ACS-quick-3D could significantly improve the image quality with comparable lesion detection rate and without increasing the scanning time at 5.0 T.
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.