ArticleCancers2023
Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction.
Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05820113 (Deep Learning Super Resolution Reconstruction for Fast and Motion Robust T2-weighted Prostate MRI), which is not on this map. Cited by 13 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.
Deep Learning Super Resolution Reconstruction for Fast and Motion Robust T2-weighted Prostate MRI
Who cites it
13 citing papers in PubMed.
- Application of Deep Learning-Based Reconstruction to Magnetic Resonance Imaging of Canine Stifle Joint in Healthy Beagles: Achieving Enhanced Image Quality With Reduced Slice Thickness.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026Article
- Prostate MRI Using Deep Learning Reconstruction in Response to Cancer Screening Demands-A Systematic Review and Meta-Analysis.Journal of personalized medicine · 2025Review
- Deep Learning-Enhanced T1-Weighted Imaging for Breast MRI at 1.5T.Diagnostics (Basel, Switzerland) · 2025Article
- Deep-Learning-Based Reconstruction of Single-Breath-Hold 3 mm HASTE Improves Abdominal Image Quality and Reduces Acquisition Time: A Quantitative Analysis.Current oncology (Toronto, Ont.) · 2025Article
- High-resolution deep learning-reconstructed T2-weighted imaging for the improvement of image quality and extraprostatic extension assessment in prostate MRI.Frontiers in radiology · 2025Article
- Ultra-high gradient performance 3-Tesla MRI for super-fast and high-quality prostate imaging: initial experience.Insights into imaging · 2024Article
- Deep learning-accelerated T2WI of the prostate for transition zone lesion evaluation and extraprostatic extension assessment.Scientific reports · 2024Article
- Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 T.Diagnostics (Basel, Switzerland) · 2024Article
- Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time.Quantitative imaging in medicine and surgery · 2024Article
- Deep learning-accelerated image reconstruction in back pain-MRI imaging: reduction of acquisition time and improvement of image quality.La Radiologia medica · 2024Article
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Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThin-slice prostate MRI might be beneficial for prostate cancer diagnostics. However, prolongation of acquisition time is a major drawback of thin-slice imaging. Therefore, the purpose of this study was to investigate the impact of a thin-slice deep learning accelerated T2-weighted (w) TSE imaging sequence (T2 MATERIALS AND
methodsThirty patients were included in this prospective study at one university center after obtaining written informed consent. T2
resultsThe mean patient age was 68 ± 8 years. Sharpness of images and lesion detectability were rated better in T2
conclusionsThin-slice T2
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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.