Literature DB >> 32550138

Validation study of perfusion parameter in hypervascular hepatocellular carcinoma and focal nodular hyperplasia using dynamic susceptibility magnetic resonance imaging with super-paramagnetic iron oxide: comparison with single level dynamic CT arteriography.

Kazuhiro Saito1, Joseph Ledsam2, Steven Sourbron2, Yoichi Araki1.   

Abstract

BACKGROUND: Dynamic susceptibility contrast MR imaging (DSC-MRI) offers direct evaluation of neo-vascularity. Ferucarbotran does not accumulate in the interstitial space, instead remaining in the intravascular space during early phase imaging. We investigate tracer kinetic analysis with DSC-MRI with ferucarbotran and single level CT during hepatic arteriography (SL-CTHA) in assessment of hypervascular hepatocellular lesions and evaluate the usefulness of DSC-MRI with ferucarbotran.
METHODS: Six patients having hypervascular hepatocellular carcinoma (HCC) and 3 patients having focal nodular hyperplasia (FNH) were included in the study. SL-CTHA was performed with the infusion of 3 mL of contrast media at a rate of 1 mL/s and scanned at a rate of 0.8 second per rotation. DSC-MRI was acquired with the echo-planar method at 1.5T system. A total dose of 1.4 mL (0.5 mol Fe/L) of ferucarbotran was used. Ferucarbotran was injected at a rate of 2 mL/s with 40 mL of physiological saline. Imaging was obtained at a temporal resolution of 1.2 or 0.46 seconds in 5 and 4 patients, respectively. For both CT and MRI modalities, a model-free analysis method was used to derive region of interest-based perfusion parameters. Plasma flow, distribution volume (DV) of contrast agent and estimated mean transit time (EMTT) were estimated.
RESULTS: A strong correlation was obtained with plasma flow (r=0.8231, P=0.0064) between DSC-MRI and SL-CTHA. No significant correlation was obtained for DV and EMTT between DSC-MRI and SL-CTHA. All perfusion parameters showed no significant difference between SL-CTHA and DSC-MRI in FNH. On the other hand, in HCC, DV and EMTT showed significant differences (P=0.046 and 0.046), and plasma flow showed no significant difference between DSC-MRI and SL-CTHA.
CONCLUSIONS: This pilot study demonstrates the possibility of quantitative analysis of liver tumor using superparamagnetic iron oxide (SPIO)-based agent and highlights the potential for SPIO-based agent in more precisely assessing the perfusion characteristic of hypervascular liver tumors than by using extracellular contrast media. 2020 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Tracer kinetic modeling; dynamic contrast enhanced MRI (DCE-MRI); dynamic susceptibility contrast MR imaging (DSC-MRI); hepatocellular carcinoma (HCC); liver

Year:  2020        PMID: 32550138      PMCID: PMC7276367          DOI: 10.21037/qims-18-233

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  28 in total

1.  EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma.

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Journal:  J Hepatol       Date:  2012-04       Impact factor: 25.083

2.  Small hepatocellular carcinoma in patients with chronic liver damage: prospective comparison of detection with dynamic MR imaging and helical CT of the whole liver.

Authors:  Y Yamashita; K Mitsuzaki; T Yi; I Ogata; T Nishiharu; J Urata; M Takahashi
Journal:  Radiology       Date:  1996-07       Impact factor: 11.105

3.  Quantification of cerebral blood flow, cerebral blood volume, and blood-brain-barrier leakage with DCE-MRI.

Authors:  Steven Sourbron; Michael Ingrisch; Axel Siefert; Maximilian Reiser; Karin Herrmann
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4.  High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part II: Experimental comparison and preliminary results.

Authors:  L Ostergaard; A G Sorensen; K K Kwong; R M Weisskoff; C Gyldensted; B R Rosen
Journal:  Magn Reson Med       Date:  1996-11       Impact factor: 4.668

5.  Perfusion MR imaging with a superparamagnetic iron oxide using T2-weighted and susceptibility-sensitive echoplanar sequences: evaluation of tumor vascularity in hepatocellular carcinoma.

Authors:  T Ichikawa; A S Arbab; T Araki; K Touyama; H Haradome; J Hachiya; M Yamaguchi; H Kumagai; S Aoki
Journal:  AJR Am J Roentgenol       Date:  1999-07       Impact factor: 3.959

6.  Liver biopsy for diagnosis of presumed benign hepatocellular lesions lacking magnetic resonance imaging diagnostic features of focal nodular hyperplasia.

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Review 7.  Diagnosis of hepatocellular carcinoma: newer radiological tools.

Authors:  Jeong Min Lee; Jeong-Hee Yoon; Kyung Won Kim
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8.  Perfusion study of liver lesions with superparamagnetic iron oxide: distinguishing hepatocellular carcinoma from focal nodular hyperplasia.

Authors:  Kazuhiro Saito; Katsutoshi Sugimoto; Ryota Nishio; Youichi Araki; Fuminori Moriyasu; Dai Kakizaki; Koichi Tokuuye
Journal:  Clin Imaging       Date:  2009 Nov-Dec       Impact factor: 1.605

9.  Assessment of hepatic extraction fraction and input relative blood flow using dynamic hepatocyte-specific contrast-enhanced MRI.

Authors:  Henrik Nilsson; Anders Nordell; Roberto Vargas; Lena Douglas; Eduard Jonas; Lennart Blomqvist
Journal:  J Magn Reson Imaging       Date:  2009-06       Impact factor: 4.813

10.  Assessment of blood flow in hepatocellular carcinoma: correlations of computed tomography perfusion imaging and circulating angiogenic factors.

Authors:  Ya-Wen Chen; Huay-Ben Pan; Hui-Hwa Tseng; Yu-Ting Hung; Jer-Shyung Huang; Chen-Pin Chou
Journal:  Int J Mol Sci       Date:  2013-08-27       Impact factor: 5.923

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  2 in total

1.  A case study of glycogen storage disease type Ia presenting with multiple hepatocellular adenomas: an analysis by gadolinium ethoxybenzyl-diethylenetriamine-pentaacetic acid magnetic resonance imaging.

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Journal:  Quant Imaging Med Surg       Date:  2021-06

2.  The feasibility of superparamagnetic iron oxide-enhanced magnetic resonance imaging for assessing liver lesions in patients with contraindications for iodine CT contrast media or gadolinium-based MR contrast media: a retrospective case-control study.

Authors:  Chishio Kurata; Kazuhiro Saito; Natsuhiko Shirota; Yoichi Araki; Katsutoshi Sugimoto; Yu Tajima; Daisuke Yunaiyama
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  2 in total

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