Evidence map›Paper›PMID 33098479›Full record

ArticleAbdominal radiology (New York)2021

Assessment of SE-MRE-derived shear stiffness at 3.0 Tesla for solid liver tumors characterization.

Andrés Dominguez, Daniel Fino, Juan Carlos Spina, Nicolas Moyano Brandi, Joaquín Capó, Maximiliano Noceti, Pedro Pablo Ariza, Guilherme Moura Cunha

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Article in Abdominal radiology (New York), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Andrés DominguezFundación Escuela de Medicina Nuclear (FUESMEN), Garibaldi 405, M5500, Mendoza, Argentina. andresdominguez82@gmail.com.ORCID 0000-0002-3948-4108
Daniel FinoFundación Escuela de Medicina Nuclear (FUESMEN), Garibaldi 405, M5500, Mendoza, Argentina.
Juan Carlos SpinaHospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Nicolas Moyano BrandiFundación Escuela de Medicina Nuclear (FUESMEN), Garibaldi 405, M5500, Mendoza, Argentina.
Joaquín CapóFundación Escuela de Medicina Nuclear (FUESMEN), Garibaldi 405, M5500, Mendoza, Argentina.
Maximiliano NocetiFundación Escuela de Medicina Nuclear (FUESMEN), Garibaldi 405, M5500, Mendoza, Argentina.
Pedro Pablo ArizaFundación Escuela de Medicina Nuclear (FUESMEN), Garibaldi 405, M5500, Mendoza, Argentina.
Guilherme Moura CunhaUniversity of California San Diego, San Diego, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the feasibility and diagnostic value of using a 2D spin-echo MR elastography (SE-MRE) sequence at 3.0 Tesla for solid focal liver lesions (FLL) characterization.

methodsThis prospective study included 55 patients with solid FLL (size > 20 mm), who underwent liver SE-MRE at 3 Tesla between 2016 and 2019. Stiffness measurements were performed by two independent readers blinded to the complete MRI exam or patient information. Histological confirmation or typical behavior on the complete MRI exam evaluated in consensus by expert abdominal radiologists was used as reference standard. FLLs were grouped and compared (malignant vs. benign) using the Mann-Whitney and Kruskal-Wallis tests. MRE diagnostic performance was assessed, and stiffness cutoffs were obtained by analysis of ROC curves from accuracy maximization. A linear regression plot was used to evaluate inter-rater agreement for FLLs stiffness measurements. p values < 0.05 were considered statistically significant.

resultsThe final study group comprised 57 FLLs (34 malignant, 23 benign). Stiffness measurements were technically successful in 91.23% of lesions. To both readers, the median stiffness of the lesions categorized as benign was 4.5 ± 1.5 kPa and in the malignant group 6.8 ± 1.7 and 7.5 ± 1.5 kPa depending on the reader. A cutoff of 5.8 kPa distinguished malignant and benign lesions with 88% specificity and 75-85% accuracy depending on the reader. The inter-rater agreement was 0.90 ± 0.04 with a correlation coefficient of 0.94.

conclusion2D-SE-MRE at 3.0 T provides high specificity and PPV to differentiate benign from malignant liver lesions. Trial registration 18FFUA-A02.

Indexed as

Elasticity Imaging TechniquesLiver NeoplasmsHumansLiverMagnetic Resonance ImagingProspective StudiesReproducibility of ResultsFocal liver lesionsLiverMagnetic resonance elastographyMagnetic resonance imagingShear stiffness

Identifiers

PMID33098479

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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.