Literature DB >> 33098479

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

Andrés Dominguez1,2, Daniel Fino3,4,5, Juan Carlos Spina6, Nicolas Moyano Brandi3,4,7, Joaquín Capó3,4,7, Maximiliano Noceti3,4, Pedro Pablo Ariza3,4, Guilherme Moura Cunha8.   

Abstract

OBJECTIVES: To 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.
METHODS: This 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.
RESULTS: The 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.
CONCLUSION: 2D-SE-MRE at 3.0 T provides high specificity and PPV to differentiate benign from malignant liver lesions. Trial registration 18FFUA-A02.

Entities:  

Keywords:  Focal liver lesions; Liver; Magnetic resonance elastography; Magnetic resonance imaging; Shear stiffness

Year:  2020        PMID: 33098479     DOI: 10.1007/s00261-020-02828-5

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  15 in total

Review 1.  Magnetic resonance imaging of liver tumors.

Authors:  Riccardo Lencioni; Dania Cioni; Laura Crocetti; Clotilde Della Pina; Carlo Bartolozzi
Journal:  J Hepatol       Date:  2004-01       Impact factor: 25.083

2.  Diffusion-weighted MR imaging for liver lesion characterization: a critical look.

Authors:  Bachir Taouli
Journal:  Radiology       Date:  2012-02       Impact factor: 11.105

Review 3.  Liver MRI: From basic protocol to advanced techniques.

Authors:  Henrique Donato; Manuela França; Isabel Candelária; Filipe Caseiro-Alves
Journal:  Eur J Radiol       Date:  2017-05-25       Impact factor: 3.528

4.  Liver tumor characterization: comparison between liver-specific gadoxetic acid disodium-enhanced MRI and biphasic CT--a multicenter trial.

Authors:  Juha Halavaara; Josy Breuer; Carmen Ayuso; Thomas Balzer; Marie-France Bellin; Lennart Blomqvist; Rick Carter; Luigi Grazioli; Renate Hammerstingl; Alexander Huppertz; Gregor Jung; Denis Krause; Andrea Laghi; Edward Leen; Luciano Lupatelli; Luca Marsili; Julio Martin; E Scott Pretorius; Caroline Reinhold; Michael Stiskal; Alan H Stolpen
Journal:  J Comput Assist Tomogr       Date:  2006 May-Jun       Impact factor: 1.826

5.  MR elastography of liver tumors: preliminary results.

Authors:  Sudhakar K Venkatesh; Meng Yin; James F Glockner; Naoki Takahashi; Philip A Araoz; Jayant A Talwalkar; Richard L Ehman
Journal:  AJR Am J Roentgenol       Date:  2008-06       Impact factor: 3.959

6.  Liver MR Elastography at 3 T: Agreement Across Pulse Sequences and Effect of Liver R2* on Image Quality.

Authors:  Ely R Felker; Kang-Sun Choi; Kyung Sung; Holden H Wu; Steven S Raman; Bradley D Bolster; Stephan Kannengiesser; Kari Sorge; David S K Lu
Journal:  AJR Am J Roentgenol       Date:  2018-07-11       Impact factor: 3.959

7.  MR elastography of liver tumours: value of viscoelastic properties for tumour characterisation.

Authors:  Philippe Garteiser; Sabrina Doblas; Jean-Luc Daire; Mathilde Wagner; Helena Leitao; Valérie Vilgrain; Ralph Sinkus; Bernard E Van Beers
Journal:  Eur Radiol       Date:  2012-05-10       Impact factor: 5.315

Review 8.  Imaging of liver metastases: MRI.

Authors:  Saravanan Namasivayam; Diego R Martin; Sanjay Saini
Journal:  Cancer Imaging       Date:  2007       Impact factor: 3.909

Review 9.  Diffusion weighted magnetic resonance imaging of liver: Principles, clinical applications and recent updates.

Authors:  Anuradha Shenoy-Bhangle; Vinit Baliyan; Hamed Kordbacheh; Alexander R Guimaraes; Avinash Kambadakone
Journal:  World J Hepatol       Date:  2017-09-18

10.  The Diagnostic Performance of Liver MRI without Intravenous Contrast for Detecting Hepatocellular Carcinoma: A Case-Controlled Feasibility Study.

Authors:  Seunghee Han; Joon-Il Choi; Michael Yong Park; Moon Hyung Choi; Sung Eun Rha; Young Joon Lee
Journal:  Korean J Radiol       Date:  2018-06-14       Impact factor: 3.500

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