Literature DB >> 28283730

[Importance of diffusion imaging in liver metastases].

P Riffel1, S O Schoenberg2, J Krammer2.   

Abstract

CLINICAL/METHODICAL ISSUE: Detection and characterization of focal liver lesions. STANDARD RADIOLOGICAL
METHODS: Due to its excellent soft tissue contrast, the availability of liver-specific contrast agents and the possibility of functional imaging, magnetic resonance imaging (MRI) is the method of choice for the evaluation of focal liver lesions. METHODICAL INNOVATIONS: Diffusion-weighted imaging (DWI) enables generation of functional information about the microstructure of a tissue besides morphological information. PERFORMANCE: In the detection of focal liver lesions DWI shows a better detection rate compared to T2w sequences and a slightly poorer detection rate compared to dynamic T1w sequences. In principle, using DWI it is possible to distinguish malignant from benign liver lesions and also to detect a therapy response at an early stage. ACHIEVEMENTS: For both detection and characterization of focal liver lesions, DWI represents a promising alternative to the morphological sequences; however, a more detailed characterization with the use of further sequences should be carried out particularly for the characterization of solid benign lesions. For the assessment and prognosis of therapy response, DWI offers advantages compared to morphological sequences. PRACTICAL RECOMMENDATIONS: For the detection of focal liver lesions DWI is in principle sufficient. After visual detection of a solid liver lesion a more detailed characterization should be carried out using further sequences (in particular dynamic T1w sequences). The DWI procedure should be used for the assessment and prognosis of a therapy response.

Entities:  

Keywords:  Detection rate; Focal liver lesions; Liver imaging; MRI; Response to therapy

Mesh:

Year:  2017        PMID: 28283730     DOI: 10.1007/s00117-017-0233-z

Source DB:  PubMed          Journal:  Radiologe        ISSN: 0033-832X            Impact factor:   0.635


  69 in total

Review 1.  Basic principles of diffusion-weighted imaging.

Authors:  Roland Bammer
Journal:  Eur J Radiol       Date:  2003-03       Impact factor: 3.528

2.  In vivo diffusion-weighted MRI of the breast: potential for lesion characterization.

Authors:  Shantanu Sinha; Flora Anne Lucas-Quesada; Usha Sinha; Nanette DeBruhl; Lawrence W Bassett
Journal:  J Magn Reson Imaging       Date:  2002-06       Impact factor: 4.813

Review 3.  Diffusion-weighted MR imaging of the liver.

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

4.  Detection and classification of focal liver lesions in patients with colorectal cancer: retrospective comparison of diffusion-weighted MR imaging and multi-slice CT.

Authors:  Matthias Eiber; Alexander A Fingerle; Melanie Brügel; Jochen Gaa; Ernst J Rummeny; Konstantin Holzapfel
Journal:  Eur J Radiol       Date:  2011-02-12       Impact factor: 3.528

Review 5.  Diffusion-weighted magnetic resonance imaging and its application to cancer.

Authors:  Elizabeth M Charles-Edwards; Nandita M deSouza
Journal:  Cancer Imaging       Date:  2006-09-13       Impact factor: 3.909

6.  Value of diffusion-weighted magnetic resonance images for discrimination of focal benign and malignant hepatic lesions: a meta-analysis.

Authors:  Dong Xia; Jiyong Jing; Haiping Shen; Jianjun Wu
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

7.  Osteosarcoma: preliminary results of in vivo assessment of tumor necrosis after chemotherapy with diffusion- and perfusion-weighted magnetic resonance imaging.

Authors:  Markus Uhl; Ulrich Saueressig; Miriam van Buiren; Udo Kontny; Charlotte Niemeyer; Gabriele Köhler; Kamil Ilyasov; Mathias Langer
Journal:  Invest Radiol       Date:  2006-08       Impact factor: 6.016

8.  A functional MRI study of subjects recovered from hemiparetic stroke.

Authors:  S C Cramer; G Nelles; R R Benson; J D Kaplan; R A Parker; K K Kwong; D N Kennedy; S P Finklestein; B R Rosen
Journal:  Stroke       Date:  1997-12       Impact factor: 7.914

Review 9.  Diffusion imaging for evaluation of tumor therapies in preclinical animal models.

Authors:  B A Moffat; D E Hall; J Stojanovska; P J McConville; J B Moody; T L Chenevert; A Rehemtulla; B D Ross
Journal:  MAGMA       Date:  2004-12-01       Impact factor: 2.310

10.  Tumor response after yttrium-90 radioembolization for hepatocellular carcinoma: comparison of diffusion-weighted functional MR imaging with anatomic MR imaging.

Authors:  Thomas K Rhee; Neel K Naik; Jie Deng; Bassel Atassi; Mary F Mulcahy; Laura M Kulik; Robert K Ryu; Frank H Miller; Andrew C Larson; Riad Salem; Reed A Omary
Journal:  J Vasc Interv Radiol       Date:  2008-06-25       Impact factor: 3.464

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