Evidence map›Paper›PMID 42350758›Full record

ArticleEuropean radiology experimental2026

Feasibility of deep learning-accelerated ultrafast T1-weighted VIBE Dixon imaging of the pelvis for screening of metastases in prostate MRI.

Andrea Nedelcu, Maximilian Frederic Russe, Caroline Wilpert, Benedict Oerther, Dominik Marcel Nickel, Ralph Strecker, Fabian Bamberg, Jakob Weiß, Hannes Engel

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Article in European radiology experimental, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Andrea NedelcuDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany. andrea.nedelcu@uniklinik-freiburg.de.ORCID http://orcid.org/0009-0000-6812-5334
Maximilian Frederic RusseDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.
Caroline WilpertDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.
Benedict OertherDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.
Dominik Marcel NickelMR Application Predevelopment, Siemens Healthineers AG, Forchheim, Germany.
Ralph StreckerEMEA Scientific Partnerships, Siemens Healthineers AG, Forchheim, Germany.
Fabian BambergDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.
Jakob WeißDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.
Hannes EngelDepartment of Diagnostic and Interventional Radiology, University Medical Center Freiburg, University of Freiburg, Freiburg im Breisgau, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to assess the image quality and perceived diagnostic confidence of research deep learning (DL)-accelerated T1-weighted "volumetric interpolated breath‑hold examination" (VIBE) Dixon sequences compared to conventional T1-weighted VIBE Dixon sequences for the screening of pelvic metastases in prostate magnetic resonance imaging (MRI). MATERIALS AND

methodsConsecutive patients receiving prostate MRI between February and April 2024 were prospectively included. In addition to the conventional T1-weighted VIBE Dixon sequences (T1STD), two research DL-accelerated sequences (T1DL, T1DL FAST) with different acceleration were acquired. Three blinded radiologists assessed image quality and perceived diagnostic confidence on a Likert scale (from 1 = non-diagnostic to 5 = excellent). Signal homogeneity was measured for quantitative assessment.

resultsFifty-four patients were included, aged 68 ± 6.6 years (mean ± standard deviation). The DL-accelerated sequences had markedly shorter acquisition time (15 s and 45 s versus 143 s). Overall image quality was comparable or superior, with especially improved sharpness in contrast-enhanced imaging (median [interquartile range]: T1STD = 4 [3‒4] versus T1DL = 5 [5‒5] versus T1DL FAST = 4 [4‒5]; p < 0.001). Although a slight increase in artifacts and signal inhomogeneity was noted, the diagnostic confidence was equally excellent with a median score of 5 [5‒5] and with p values ranging from 0.276 to < 0.001.

conclusionDL-accelerated T1-weighted VIBE Dixon imaging in prostate MRI is feasible and demonstrates good image quality and equally high perceived diagnostic confidence for pelvic metastases with a tremendously shorter acquisition time. RELEVANCE STATEMENT: The availability of prostate MRI is significantly influenced by acquisition time. To meet the increasing demand for prostate MRI, DL-accelerated sequences provide faster and more efficient image reconstruction. KEY POINTS: DL-accelerated T1-weighted VIBE Dixon sequences in prostate MRI address the growing demand for rapid, high-quality imaging in prostate cancer assessment. DL-acceleration reduces sequence acquisition time from 143 s to 15 s without loss of image quality and perceived diagnostic confidence. DL-accelerated T1-weighted VIBE Dixon sequences enable more efficient, time-saving prostate MRI to increase availability and patient throughput.

Indexed as

Deep LearningMagnetic Resonance ImagingPelvic NeoplasmsPelvisProstatic NeoplasmsAgedBreath HoldingFeasibility StudiesHumansMaleMiddle AgedProspective StudiesArtificial intelligenceDeep learningMagnetic resonance imagingNeoplasm metastasisProstatic neoplasms

Identifiers

PMID42350758
PMCPMC13304013

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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.