Evidence map›Paper›PMID 36960560›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2023

Optimized visualization of focal liver lesions and vascular structures in real-time T1-weighted gradient echo sequences for magnetic resonance-guided liver procedures.

Vanessa Franziska Schmidt, Olaf Dietrich, Philipp Maximilian Kazmierczak, Max Seidensticker, Jens Ricke, Marco Armbruster

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Article in Diagnostic and interventional radiology (Ankara, Turkey), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Vanessa Franziska SchmidtDepartment of Radiology, University Hospital, LMU Munich, München, Germany.ORCID 0000-0002-7067-2203
Olaf DietrichDepartment of Radiology, University Hospital, LMU Munich, München, Germany.ORCID 0000-0001-6182-5039
Philipp Maximilian KazmierczakDepartment of Radiology, University Hospital, LMU Munich, München, Germany.ORCID 000-0003-0071-1665
Max SeidenstickerDepartment of Radiology, University Hospital, LMU Munich, München, Germany.ORCID 0000-0002-2481-5410
Jens RickeDepartment of Radiology, University Hospital, LMU Munich, München, Germany.ORCID 0000-0001-8762-8594
Marco ArmbrusterDepartment of Radiology, University Hospital, LMU Munich, München, Germany.ORCID 0000-0002-5374-0542

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to determine the optimal sequence parameters of a real-time T1-weighted (T1w) gradient echo (GRE) sequence for magnetic resonance (MR)-guided liver interventions.

methodsWe included 94 patients who underwent diagnostic liver MR imaging (MRI) and acquired additional real-time T1w GRE sequences with a closed 1.5-T MRI scanner 20 min after a liver-specific contrast agent was injected. In four measurement series, one of the following four sequence parameters was changed, and repeated scans with different values for this parameter were acquired: flip angle (FA) (10-90°), repetition time (TR) (5.47-8.58 ms), bandwidth (BW) (300-700 Hz/pixel), and matrix (96 × 96-256 × 256). Two readers rated the visualizations of the target and risk structures (7-point Likert scale) and the extent of artifacts (6-point Likert scale); they also quantified the lesion-liver contrast ratio, the lesion-liver contrast-to-noise ratio (CNR), and the liver signal-to-noise ratio (SNR). Substratification analyses were performed for differences in overall visual and quantitative assessments depending on the lesion size, type, and the presence of cirrhosis.

resultsFor the utilized FAs and matrix sizes, significant differences were found in the visual assessments of the conspicuity of target lesions, risk structures, and the extent of artifacts as well as in the quantitative assessments of lesion-liver contrast ratios and liver SNRs (all

conclusionWe recommend an FA of 30°-45° and a matrix size of 128 × 128-192 × 192 for MR-guided liver interventions with real-time T1w sequences to provide a balance between good visualizations of target and risk structures, high signal intensities, and low ghosting artifacts. The visualization of the target lesion may vary due to clinical conditions, such as lesion type or associated chronic liver disease.

Indexed as

Liver NeoplasmsContrast MediaHumansLiver CirrhosisMagnetic Resonance ImagingMagnetic Resonance SpectroscopyContrast MediaInterventionallesion-liver CNRliver SNRMRIreal-time sequencesequence parametersignal intensityvisualization

Identifiers

PMID36960560
PMCPMC10679597

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