Fat and iron quantification in the liver: Past, present, and future

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Liver fat, iron, and combined overload are common manifestations of diffuse liver disease and may cause lipotoxicity and iron toxicity via oxidative hepatocellular injury, leading to progressive fibrosis, cirrhosis, and eventually, liver failure. Intracellular fat and iron cause characteristic changes in the tissue magnetic properties in predictable dose-dependent manners. Using dedicated magnetic resonance pulse sequences and postprocessing algorithms, fat and iron can be objectively quantified on a continuous scale. In this article, we will describe the basic physical principles of magnetic resonance fat and iron quantification and review the imaging techniques of the "past, present, and future." Standardized radiological metrics of fat and iron are introduced for numerical reporting of overload severity, which can be used toward objective diagnosis, grading, and longitudinal disease monitoring. These noninvasive imaging techniques serve an alternative or complimentary role to invasive liver biopsy. Commercial solutions are increasingly available, and liver fat and iron quantitative imaging is now within reach for routine clinical use and may soon become standard of care.

Original languageEnglish (US)
Pages (from-to)129-150
Number of pages22
JournalTopics in Magnetic Resonance Imaging
Volume23
Issue number2
DOIs
StatePublished - 2014

Fingerprint

Iron
Fats
Liver
Fibrosis
Magnetic Resonance Spectroscopy
Iron Overload
Liver Failure
Standard of Care
Liver Diseases
Biopsy
Wounds and Injuries

Keywords

  • fat fraction
  • fatty liver
  • hemochromatosis
  • iron overload
  • proton density
  • quantitative imaging
  • relaxometry
  • steatosis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Fat and iron quantification in the liver : Past, present, and future. / Yokoo, Takeshi; Browning, Jeffrey D.

In: Topics in Magnetic Resonance Imaging, Vol. 23, No. 2, 2014, p. 129-150.

Research output: Contribution to journalArticle

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