Literature DB >> 25414372

Intravoxel incoherent motion MRI for liver fibrosis assessment: a pilot study.

Sae Rom Chung1, Seung Soo Lee2, Namkug Kim1, Eun Sil Yu1, Eunki Kim3, Bernd Kühn4, In Seong Kim5.   

Abstract

BACKGROUND: There has been a growing need for an imaging method for the accurate diagnosis and staging of liver fibrosis as a non-invasive alternative to liver biopsy.
PURPOSE: To evaluate the feasibility of intra-voxel incoherent motion (IVIM) imaging for classifying the severity of liver fibrosis.
MATERIAL AND METHODS: Fifty-seven patients who underwent navigator-triggered, diffusion-weighted imaging (DWI) of the liver on a 1.5-T system using nine b-values and had a reliable reference standard for the diagnosis of liver fibrosis (histopathologic findings [n = 27] or clinical findings for normal [n = 18] or cirrhotic liver [n = 12]), were included in our study. Liver apparent diffusion coefficient (ADC), pure diffusion (Dslow), perfusion fraction (f), and perfusion-related diffusion (Dfast), and the product f · Dfast were compared with the liver fibrosis stages (F). The accuracies of these parameters in diagnosing severe liver fibrosis (F ≥3) were evaluated using the receiver-operating characteristic (ROC) curve analysis.
RESULTS: The liver fibrosis stages had the strongest negative correlation with f · Dfast (ρ = -0.52). All of the parameters, except for Dslow, were significantly lower in patients with F ≥3 than in those with F ≤2 (P ≤ 0.001). The area under the ROC curve for diagnosing severe fibrosis was the largest for f · Dfast (0.844) with an overall accuracy of 79.0% (45/57) at the optimal cutoff value and followed by f (0.834), Dfast (0.773), ADC (0.762), and Dslow (0.656).
CONCLUSION: IVIM imaging is a promising method for classifying the severity of liver fibrosis, with the product f · Dfast being the most accurate parameter. © The Foundation Acta Radiologica 2014.

Entities:  

Keywords:  Intra-voxel incoherent motion; diffusion-weighted imaging; fibrosis; liver; magnetic resonance imaging; quantitative image analysis

Mesh:

Year:  2014        PMID: 25414372     DOI: 10.1177/0284185114559763

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  19 in total

1.  Liver fibrosis: stretched exponential model outperforms mono-exponential and bi-exponential models of diffusion-weighted MRI.

Authors:  Nieun Seo; Yong Eun Chung; Yung Nyun Park; Eunju Kim; Jinwoo Hwang; Myeong-Jin Kim
Journal:  Eur Radiol       Date:  2018-02-05       Impact factor: 5.315

Review 2.  Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation.

Authors:  Yáo T Li; Jean-Pierre Cercueil; Jing Yuan; Weitian Chen; Romaric Loffroy; Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2017-02

3.  A two-pool model to describe the IVIM cerebral perfusion.

Authors:  Gabrielle Fournet; Jing-Rebecca Li; Alex M Cerjanic; Bradley P Sutton; Luisa Ciobanu; Denis Le Bihan
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

Review 4.  How Can New Imaging Modalities Help in the Practice of Radiology?

Authors:  Berhan Pirimoglu; Recep Sade; Hayri Ogul; Mecit Kantarci; Suat Eren; Akın Levent
Journal:  Eurasian J Med       Date:  2016-10

5.  Feasibility of computed tomography texture analysis of hepatic fibrosis using dual-energy spectral detector computed tomography.

Authors:  ByukGyung Choi; In Young Choi; Sang Hoon Cha; Suk Keu Yeom; Hwan Hoon Chung; Seung Hwa Lee; Jaehyung Cha; Ju-Han Lee
Journal:  Jpn J Radiol       Date:  2020-07-14       Impact factor: 2.374

Review 6.  Evaluation of hepatic fibrosis: a review from the society of abdominal radiology disease focus panel.

Authors:  Jeanne M Horowitz; Sudhakar K Venkatesh; Richard L Ehman; Kartik Jhaveri; Patrick Kamath; Michael A Ohliger; Anthony E Samir; Alvin C Silva; Bachir Taouli; Michael S Torbenson; Michael L Wells; Benjamin Yeh; Frank H Miller
Journal:  Abdom Radiol (NY)       Date:  2017-08

7.  Noninvasive DW-MRI metrics for staging hepatic fibrosis and grading inflammatory activity in patients with chronic hepatitis B.

Authors:  Fangfang Fu; Xiaodong Li; Qiuyu Liu; Cuiyun Chen; Yan Bai; Dapeng Shi; Jia Sang; Kaiyu Wang; Meiyun Wang
Journal:  Abdom Radiol (NY)       Date:  2020-10-19

Review 8.  Magnetic Resonance imaging analysis of liver fibrosis and inflammation: overwhelming gray zones restrict clinical use.

Authors:  D Marti-Aguado; A Rodríguez-Ortega; A Alberich-Bayarri; L Marti-Bonmati
Journal:  Abdom Radiol (NY)       Date:  2020-08-28

9.  Primary biliary cirrhosis degree assessment by acoustic radiation force impulse imaging and hepatic fibrosis indicators.

Authors:  Hai-Chun Zhang; Rong-Fei Hu; Ting Zhu; Ling Tong; Qiu-Qin Zhang
Journal:  World J Gastroenterol       Date:  2016-06-14       Impact factor: 5.742

10.  Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI.

Authors:  Sila Kurugol; Moti Freiman; Onur Afacan; Jeannette M Perez-Rossello; Michael J Callahan; Simon K Warfield
Journal:  Med Image Anal       Date:  2016-04-01       Impact factor: 8.545

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