Comparison of pulsed and oscillating gradient diffusion-weighted MRI for characterizing hepatocellular nodules in liver cirrhosis: ex vivo study in a rat model.


Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
04 2020
Historique:
received: 18 04 2019
accepted: 07 08 2019
pubmed: 12 9 2019
medline: 20 5 2021
entrez: 12 9 2019
Statut: ppublish

Résumé

In contrast to classical pulsed gradient diffusion-weighted MRI, oscillating gradient diffusion-weighted MR imaging (DWI) is sensitive to short distance diffusion changes at the intracellular level. To compare the diagnostic performance of pulsed and oscillating DWI for characterizing hepatocellular nodules in a rat model of hepatic cirrhosis. Prospective, experimental study. Cirrhosis was induced by weekly intraperitoneal injection of diethylnitrosamine in Wistar rats. Ex vivo liver MRI was performed at 7T with T Apparent diffusion coefficient from pulsed (ADC Differences between groups were assessed with Kruskal-Wallis and Mann-Whitney tests. ADC, mainly ADC ADC during hepatocarcinogenesis in rats increased in nodules with intermediate malignancy and decreased in progressed hepatocellular carcinomas. Our results suggest that oscillating gradient DWI is more sensitive to the early steps of hepatocarcinogenesis and might be useful for differentiating between high-grade dysplastic nodules / early hepatocellular carcinomas and regenerating nodules / low-grade dysplastic nodules. 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2020;51:1065-1074.

Sections du résumé

BACKGROUND
In contrast to classical pulsed gradient diffusion-weighted MRI, oscillating gradient diffusion-weighted MR imaging (DWI) is sensitive to short distance diffusion changes at the intracellular level.
PURPOSE
To compare the diagnostic performance of pulsed and oscillating DWI for characterizing hepatocellular nodules in a rat model of hepatic cirrhosis.
STUDY TYPE
Prospective, experimental study.
ANIMAL MODEL
Cirrhosis was induced by weekly intraperitoneal injection of diethylnitrosamine in Wistar rats.
FIELD STRENGTH/SEQUENCE
Ex vivo liver MRI was performed at 7T with T
ASSESSMENT
Apparent diffusion coefficient from pulsed (ADC
STATISTICAL TESTS
Differences between groups were assessed with Kruskal-Wallis and Mann-Whitney tests.
RESULTS
ADC, mainly ADC
DATA CONCLUSION
ADC during hepatocarcinogenesis in rats increased in nodules with intermediate malignancy and decreased in progressed hepatocellular carcinomas. Our results suggest that oscillating gradient DWI is more sensitive to the early steps of hepatocarcinogenesis and might be useful for differentiating between high-grade dysplastic nodules / early hepatocellular carcinomas and regenerating nodules / low-grade dysplastic nodules.
LEVEL OF EVIDENCE
2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2020;51:1065-1074.

Identifiants

pubmed: 31507025
doi: 10.1002/jmri.26919
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1065-1074

Informations de copyright

© 2019 International Society for Magnetic Resonance in Medicine.

Références

Hytiroglou P, Park YN, Krinsky G, Theise ND. Hepatic precancerous lesions and small hepatocellular carcinoma. Gastroenterol Clin North Am 2007;36:867-887, vii.
International Consensus Group for Hepatocellular Neoplasia. Pathologic diagnosis of early hepatocellular carcinoma: A report of the international consensus group for hepatocellular neoplasia. Hepatology 2009;49:658-664.
Renzulli M, Biselli M, Brocchi S, et al. New hallmark of hepatocellular carcinoma, early hepatocellular carcinoma and high-grade dysplastic nodules on Gd-EOB-DTPA MRI in patients with cirrhosis: A new diagnostic algorithm. Gut 2018;67:1674-1682.
Borzio M, Fargion S, Borzio F, et al. Impact of large regenerative, low-grade and high-grade dysplastic nodules in hepatocellular carcinoma development. J Hepatol 2003;39:208-214.
Inchingolo R, De Gaetano AM, Curione D, et al. Role of diffusion-weighted imaging, apparent diffusion coefficient and correlation with hepatobiliary phase findings in the differentiation of hepatocellular carcinoma from dysplastic nodules in cirrhotic liver. Eur Radiol 2015;25:1087-1096.
Bruix J, Sherman M, American Association for the Study of Liver Diseases. Management of hepatocellular carcinoma: An update. Hepatology 2011;53:1020-1022.
European Association for the Study of the Live. EASL clinical practice guidelines: Management of hepatocellular carcinoma. J Hepatol 2018; 69:182-236.
International Working Party. Terminology of nodular hepatocellular lesions. Hepatology 1995;22:983-993.
Vertemati M, Moscheni C, Petrella D, et al. Morphometric analysis of hepatocellular nodular lesions in HCV cirrhosis. Pathol Res Pract 2012;208:240-244.
Xu J, Does MD, Gore JC. Dependence of temporal diffusion spectra on microstructural properties of biological tissues. Magn Reson Imaging 2011;29:380-390.
Padhani AR, Liu G, Koh DM, et al. Diffusion-weighted magnetic resonance imaging as a cancer biomarker: Consensus and recommendations. Neoplasia 2009;11:102-125.
Xu J, Does MD, Gore JC. Sensitivity of MR diffusion measurements to variations in intracellular structure: Effects of nuclear size. Magn Reson Med 2009;61:828-833.
Piana G, Trinquart L, Meskine N, Barrau V, Van Beers B, Vilgrain V. New MR imaging criteria with a diffusion-weighted sequence for the diagnosis of hepatocellular carcinoma in chronic liver diseases. J Hepatol 2011;55:126-132.
Hwang J, Kim YK, Jeong WK, Choi D, Rhim H, Lee WJ. Nonhypervascular hypointense nodules at gadoxetic acid-enhanced MR imaging in chronic liver disease: Diffusion-weighted imaging for characterization. Radiology 2015;276:137-146.
Colvin DC, Yankeelov TE, Does MD, Yue Z, Quarles C, Gore JC. New insights into tumor microstructure using temporal diffusion spectroscopy. Cancer Res 2008;68:5941-5947.
Xu J, Li K, Smith RA, et al. Characterizing tumor response to chemotherapy at various length scales using temporal diffusion spectroscopy. PLoS One 2012;7:e41714.
Jiang X, Li H, Xie J, et al. In vivo imaging of cancer cell size and cellularity using temporal diffusion spectroscopy. Magn Reson Med 2017;78:156-164.
Borbath I, Leclercq IA, Sempoux C, Abarca-Quinones J, Desaeger C, Horsmans Y. Efficacy of lanreotide in preventing the occurrence of chemically induced hepatocellular carcinoma in rats. Chem Biol Interact 2010;183:238-248.
Parsons EC Jr, Does MD, Gore JC. Temporal diffusion spectroscopy: Theory and implementation in restricted systems using oscillating gradients. Magn Reson Med 2006;55:75-84.
Does MD, Parsons EC, Gore JC. Oscillating gradient measurements of water diffusion in normal and globally ischemic rat brain. Magn Reson Med 2003;49:206-215.
Xu J, Xie J, Jourquin J, et al. Influence of cell cycle phase on apparent diffusion coefficient in synchronized cells detected using temporal diffusion spectroscopy. Magn Reson Med 2011;65:920-926.
Li H, Jiang X, Xie J, McIntyre JO, Gore JC, Xu J. Time-dependent influence of cell membrane permeability on MR diffusion measurements. Magn Reson Med 2016;75:1927-1934.
Aggarwal M, Jones MV, Calabresi PA, Mori S, Zhang J. Probing mouse brain microstructure using oscillating gradient diffusion MRI. Magn Reson Med 2012;67:98-109.
Colvin DC, Loveless ME, Does MD, Yue Z, Yankeelov TE, Gore JC. Earlier detection of tumor treatment response using magnetic resonance diffusion imaging with oscillating gradients. Magn Reson Imaging 2011;29:315-323.
Reynaud O, Winters KV, Hoang DM, Wadghiri YZ, Novikov DS, Kim SG. Surface-to-volume ratio mapping of tumor microstructure using oscillating gradient diffusion weighted imaging. Magn Reson Med 2016;76:237-247.
Jiang X, Xu J, Gore JC. Quantitative temporal diffusion spectroscopy as an early imaging biomarker of radiation therapeutic response in gliomas: A preclinical proof of concept. Adv Radiat Oncol 2019;4:367-376.
Reynaud O, Winters KV, Hoang DM, Wadghiri YZ, Novikov DS, Kim SG. Pulsed and oscillating gradient MRI for assessment of cell size and extracellular space (POMACE) in mouse gliomas. NMR Biomed 2016;29:1350-1363.
Van AT, Holdsworth SJ, Bammer R. In vivo investigation of restricted diffusion in the human brain with optimized oscillating diffusion gradient encoding. Magn Reson Med 2014;71:83-94.
Jiang X, McKinley ET, Xie J, Li H, Xu J, Gore JC. In vivo magnetic resonance imaging of treatment-induced apoptosis. Sci Rep 2019;9:9540.
Jiang X, Li H, Xie J, Zhao P, Gore JC, Xu J. Quantification of cell size using temporal diffusion spectroscopy. Magn Reson Med 2016;75:1076-1085.
Lewin M, Poujol-Robert A, Boelle PY, et al. Diffusion-weighted magnetic resonance imaging for the assessment of fibrosis in chronic hepatitis C. Hepatology 2007;46:658-665.
Annet L, Peeters F, Abarca-Quinones J, Leclercq I, Moulin P, Van Beers BE. Assessment of diffusion-weighted MR imaging in liver fibrosis. J Magn Reson Imaging 2007;25:122-128.
Luciani A, Vignaud A, Cavet M, et al. Liver cirrhosis: Intravoxel incoherent motion MR imaging-Pilot study. Radiology 2008;249:891-899.
Muhi A, Ichikawa T, Motosugi U, et al. High-b-value diffusion-weighted MR imaging of hepatocellular lesions: Estimation of grade of malignancy of hepatocellular carcinoma. J Magn Reson Imaging 2009;30:1005-1011.
Hicks RM, Yee J, Ohliger MA, et al. Comparison of diffusion-weighted imaging and T2-weighted single shot fast spin-echo: Implications for LI-RADS characterization of hepatocellular carcinoma. Magn Reson Imaging 2016;34:915-921.
Doblas S, Wagner M, Leitao HS, et al. Determination of malignancy and characterization of hepatic tumor type with diffusion-weighted magnetic resonance imaging: Comparison of apparent diffusion coefficient and intravoxel incoherent motion-derived measurements. Invest Radiol 2013;48:722-728.
Choi IY, Lee SS, Sung YS, et al. Intravoxel incoherent motion diffusion-weighted imaging for characterizing focal hepatic lesions: Correlation with lesion enhancement. J Magn Reson Imaging 2017;45:1589-1598.
Lee JS, Chu IS, Mikaelyan A, et al. Application of comparative functional genomics to identify best-fit mouse models to study human cancer. Nat Genet 2004;36:1306-1311.
Baron CA, Beaulieu C. Oscillating gradient spin-echo (OGSE) diffusion tensor imaging of the human brain. Magn Reson Med 2014;72:726-736.
Lemberskiy G, Fieremans E, Veraart J, Deng FM, Rosenkrantz AB, Novikov DS. Characterization of prostate microstructure using water diffusion and NMR relaxation. Front Phys 2018;6.

Auteurs

Mathilde Wagner (M)

Laboratory of Imaging Biomarkers, Center for Research on Inflammation, UMR 1149, Inserm - University of Paris, Paris, France.
Department of Radiology, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France.

Sabrina Doblas (S)

Laboratory of Imaging Biomarkers, Center for Research on Inflammation, UMR 1149, Inserm - University of Paris, Paris, France.

Nicolas Poté (N)

Department of Pathology, Beaujon University Hospital Paris Nord, AP-HP, Clichy, France.
Center for Research on Inflammation, UMR 1149, Inserm - University of Paris, Paris, France.

Simon A Lambert (SA)

Laboratory of Imaging Biomarkers, Center for Research on Inflammation, UMR 1149, Inserm - University of Paris, Paris, France.
CREATIS, CNRS UMR 5220 - Inserm U1206, University of Lyon, Villeurbanne, France.

Maxime Ronot (M)

Laboratory of Imaging Biomarkers, Center for Research on Inflammation, UMR 1149, Inserm - University of Paris, Paris, France.
Department of Radiology, Beaujon University Hospital Paris Nord, AP-HP, Clichy, France.

Philippe Garteiser (P)

Laboratory of Imaging Biomarkers, Center for Research on Inflammation, UMR 1149, Inserm - University of Paris, Paris, France.

Valérie Paradis (V)

Department of Pathology, Beaujon University Hospital Paris Nord, AP-HP, Clichy, France.
Center for Research on Inflammation, UMR 1149, Inserm - University of Paris, Paris, France.

Valérie Vilgrain (V)

Laboratory of Imaging Biomarkers, Center for Research on Inflammation, UMR 1149, Inserm - University of Paris, Paris, France.
Department of Radiology, Beaujon University Hospital Paris Nord, AP-HP, Clichy, France.

Bernard E Van Beers (BE)

Laboratory of Imaging Biomarkers, Center for Research on Inflammation, UMR 1149, Inserm - University of Paris, Paris, France.
Department of Radiology, Beaujon University Hospital Paris Nord, AP-HP, Clichy, France.

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