ArticleResearch in diagnostic and interventional imaging2024
Feasibility of deep learning-reconstructed thin-slice single-breath-hold HASTE for detecting pancreatic lesions: A comparison with two conventional T2-weighted imaging sequences.
Article in Research in diagnostic and interventional imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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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
5 citing papers in PubMed.
- Phase-constrained zero-shot self-supervised learning for BLADE liver MRI reconstruction.Magma (New York, N.Y.) · 2026Article
- Advances in IPMN imaging: deep learning-enhanced HASTE improves lesion assessment.European radiology · 2026Article
- Optimized deep learning-accelerated single-breath-hold abdominal HASTE with and without fat saturation improves and accelerates abdominal imaging at 3 Tesla.BMC medical imaging · 2025Article
- Feasibility/clinical utility of half-Fourier single-shot turbo spin echo imaging combined with deep learning reconstruction in gynecologic magnetic resonance imaging.Abdominal radiology (New York) · 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
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The objective of this study was to evaluate the clinical feasibility of deep learning reconstruction-accelerated thin-slice single-breath-hold half-Fourier single-shot turbo spin echo imaging (HASTE Methods: From March 2022 to January 2023, a total of 63 patients with suspected pancreatic-related disease underwent the HASTE Results: The acquisition time of both HASTE Conclusions: Compared to conventional T2WI sequences (HASTE
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Registered trials
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