Literature DB >> 23666233

Intravoxel incoherent motion model-based liver lesion characterisation from three b-value diffusion-weighted MRI.

A-H Penner1, A M Sprinkart, G M Kukuk, I Gütgemann, J Gieseke, H H Schild, W A Willinek, P Mürtz.   

Abstract

OBJECTIVE: To evaluate intravoxel incoherent motion (IVIM) model-based liver lesion characterisation from three b-value diffusion-weighted imaging (DWI).
METHODS: The 1.5-T DWI data from a respiratory gated spin-echo echo-planar magnetic resonance imaging sequence (b = 0, 50, 800 s/mm(2)) were retrospectively analysed in 38 patients with different liver lesions. Conventional apparent diffusion coefficient ADC = ADC(0,800) as well as IVIM-based parameters D' = ADC(50,800), ADC_low = ADC(0,50), and f' were calculated voxel-wise. Sixty-one regions of interest in hepatocellular carcinomas (HCCs, n = 24), haemangiomas (HEMs, n = 11), focal nodular hyperplasias (FNHs, n = 11), and healthy liver tissue (REFs, n = 15) were analysed. Group differences were investigated using Student's t-test and receiver-operating characteristic (ROC) analysis.
RESULTS: Mean values ± standard deviations of ADC, D', ADC_low (in 10(-5) mm(2)/s), and f' (in %) for REFs/FNHs/HEMs/HCCs were 130 ± 11/143 ± 27/168 ± 16/113 ± 25, 104 ± 12/123 ± 25/162 ± 18/102 ± 23, 518 ± 66/437 ± 97/268 ± 69/283 ± 120, and 18 ± 3/14 ± 4/6 ± 3/9 ± 5, respectively. Differences between lesions and REFs were more significant for IVIM-based parameters than for conventional ADC. ROC analysis showed the best discriminability between HCCs and FNHs for ADC_low and f' and between HEMs and FNHs or HCCs for D'.
CONCLUSION: Three instead of two b-value DWI enables a numerically stable and voxel-wise IVIM-based analysis for improved liver lesion characterisation with tolerable acquisition time. KEY POINTS: • Quantitative analysis of diffusion-weighted MRI helps liver lesion characterisation. • Analysis of intravoxel incoherent motion is superior to apparent diffusion coefficient determination. • Only three b-values enable separation of diffusion and microcirculation effects. • The method presented is numerically stable, with voxel-wise results and short acquisition times.

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Year:  2013        PMID: 23666233     DOI: 10.1007/s00330-013-2869-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  54 in total

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Authors:  Taro Takahara; Thomas C Kwee
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Review 2.  Liver diffusion-weighted MR imaging: the tower of Babel?

Authors:  Boris Guiu; Jean-Pierre Cercueil
Journal:  Eur Radiol       Date:  2010-11-26       Impact factor: 5.315

3.  Short- and midterm reproducibility of apparent diffusion coefficient measurements at 3.0-T diffusion-weighted imaging of the abdomen.

Authors:  Adam C Braithwaite; Brian M Dale; Daniel T Boll; Elmar M Merkle
Journal:  Radiology       Date:  2008-12-18       Impact factor: 11.105

Review 4.  Diffusion-weighted MR imaging of the liver.

Authors:  Bachir Taouli; Dow-Mu Koh
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

5.  Reproductibility of apparent diffusion coefficients measurements in diffusion-weighted MRI of the abdomen with different b values.

Authors:  Mirace Yasemin Karadeniz Bilgili
Journal:  Eur J Radiol       Date:  2011-07-02       Impact factor: 3.528

6.  Optimised diffusion-weighting for measurement of apparent diffusion coefficient (ADC) in human brain.

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7.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

8.  Focal liver lesion detection and characterization with diffusion-weighted MR imaging: comparison with standard breath-hold T2-weighted imaging.

Authors:  Tejas Parikh; Stephen J Drew; Vivian S Lee; Samson Wong; Elizabeth M Hecht; James S Babb; Bachir Taouli
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9.  Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases.

Authors:  A Andreou; D M Koh; D J Collins; M Blackledge; T Wallace; M O Leach; M R Orton
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10.  Management of hepatocellular carcinoma: an update.

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  28 in total

Review 1.  [Modern magnetic resonance imaging of the liver].

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2.  Whole-body intravoxel incoherent motion imaging.

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Journal:  Eur Radiol       Date:  2015-01-10       Impact factor: 5.315

Review 3.  Radiological Response to the Locoregional Treatment in Hepatocellular Carcinoma: RECIST, mRECIST, and Others.

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Journal:  J Gastrointest Cancer       Date:  2017-09

4.  Comparison of methods for estimation of the intravoxel incoherent motion (IVIM) diffusion coefficient (D) and perfusion fraction (f).

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5.  Perfusion and diffusion characteristics of cervical cancer based on intraxovel incoherent motion MR imaging-a pilot study.

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Review 6.  Diffusion-weighted MRI of the liver: challenges and some solutions for the quantification of apparent diffusion coefficient and intravoxel incoherent motion.

Authors:  Yi Xiang J Wang; Hua Huang; Cun-Jing Zheng; Ben-Heng Xiao; Olivier Chevallier; Wei Wang
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7.  Relative enhanced diffusivity: noise sensitivity, protocol optimization, and the relation to intravoxel incoherent motion.

Authors:  Peter T While; Jose R Teruel; Igor Vidić; Tone F Bathen; Pål Erik Goa
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8.  Accurate IVIM model-based liver lesion characterisation can be achieved with only three b-value DWI.

Authors:  P Mürtz; A M Sprinkart; M Reick; C C Pieper; A-H Schievelkamp; R König; H H Schild; W A Willinek; G M Kukuk
Journal:  Eur Radiol       Date:  2018-04-18       Impact factor: 5.315

Review 9.  Topics on quantitative liver magnetic resonance imaging.

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Review 10.  Multiparametric MR Imaging in Abdominal Malignancies.

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