Dynamic subtraction magnetic resonance imaging of cirrhotic liver: Assessment of high signal intensity lesions on nonenhanced T1-weighted images

Jeong Sik Yu, Young Hwan Kim, Neil M. Rofsky

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

Purpose: The purpose of this work was to determine the technical feasibility and value of dynamic subtraction (postcontrast-precontrast) magnetic resonance (MR) imaging for the assessment of hyperintense lesions on precontrast T1-weighted images in the cirrhotic liver. Methods: One hundred four hyperintense lesions on T1-weighted precontrast and arterial phase postcontrast images were subjected to analysis of their subtraction qualities depending on the lesion size, location and/or the degree of misregistration between the source images in 27 different MR imaging sets. Results: The quality of subtraction images was always diagnostic for lesions larger than 2 cm in diameter (n = 8) but not diagnostic for 73% (40 of 55 lesions) of small subcentimetric lesions. Thirty-one subcapsular lesions always showed a variable degree of coregistration artifact. Only 3 of 35 lesions with a slice misregistration of 3 mm or more gave rise to subtraction images of diagnostic quality. For determining the contrast enhancement, the area under the receiver operating characteristic curve of 30 verified lesions was significantly larger (P < 0.001) for subtraction images than for conventional arterial phase images. Conclusion: Depending on the lesion size and/or location or the degree of misregistration between the source images, dynamic subtraction MR imaging can be useful for the characterization of hyperintense lesions on precontrast T1-weighted imaging.

Original languageEnglish (US)
Pages (from-to)51-58
Number of pages8
JournalJournal of computer assisted tomography
Volume29
Issue number1
DOIs
StatePublished - Jan 2005

Keywords

  • Liver
  • Liver, neoplasms
  • Magnetic resonance, 3-dimensional
  • Magnetic resonance, technology

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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