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World J Gastroenterol. Apr 7, 2010; 16(13): 1598-1609
Published online Apr 7, 2010. doi: 10.3748/wjg.v16.i13.1598
Perfusion magnetic resonance imaging of the liver
Choon Hua Thng, Tong San Koh, David J Collins, Dow Mu Koh
Choon Hua Thng, Tong San Koh, Department of Oncologic Imaging, National Cancer Centre, Singapore 169610, Singapore
David J Collins, Dow Mu Koh, Department of Radiology, Royal Marsden NHS Foundation Trust, Sutton, SM2 5PT, United Kingdom
David J Collins, CR UK-EPSRC Cancer Imaging Centre, Institute of Cancer Research, Sutton, SM2 5PT, United Kingdom
Author contributions: Thng CH researched the subject and drafted the paper; Koh TS, Collins DJ and Koh DM revised, edited and contributed to the final version of the manuscript.
Supported by Singapore Cancer Syndicate (SCS_CS-0072); Biomedical Research Council (BMRC 08/1/31/19/577); CRUK and EPSRC Cancer Imaging Centre in association with the MRC and Department of Health (England) grant C1060/A10334; and NHS funding to the NIHR Biomedical Research Centre (UK)
Correspondence to: Dr. Dow Mu Koh, Department of Radiology, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, United Kingdom.
Telephone: +44-208-6613587 Fax: +44-208-6613901
Received: February 3, 2010
Revised: February 24, 2010
Accepted: March 3, 2010
Published online: April 7, 2010

Perfusion magnetic resonance imaging (MRI) studies quantify the microcirculatory status of liver parenchyma and liver lesions, and can be used for the detection of liver metastases, assessing the effectiveness of anti-angiogenic therapy, evaluating tumor viability after anti-cancer therapy or ablation, and diagnosis of liver cirrhosis and its severity. In this review, we discuss the basic concepts of perfusion MRI using tracer kinetic modeling, the common kinetic models applied for analyses, the MR scanning techniques, methods of data processing, and evidence that supports its use from published clinical and research studies. Technical standardization and further studies will help to establish and validate perfusion MRI as a clinical imaging modality.

Keywords: Magnetic resonance imaging, Dynamic contrast-enhanced magnetic resonance imaging, Liver, Tracer kinetic modeling