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Hepatic tumors: Quantitative tissue characterization with MR imaging

  • Thomas K. Egglin
  • , Ernst Rummeny
  • , David D. Stark
  • , Jack Wittenberg
  • , Sanjay Saini
  • , Joseph T. Ferrucci
  • Massachusetts General Hospital
  • University of Münster

Research output: Contribution to journal › Article › peer-review

73 Scopus citations

Abstract

To determine which quantitative methods of image analysis are most suitable for the differential diagnosis of benign and malignant hepatic lesions, the authors analyzed magnetic resonance images obtained at 0.6 T in 42 patients with proved hepatic cavernous hemangioma and 63 patients with various hepatic malignancies. The lesion-liver signal-intensity ratio for images obtained with a repetition time of 2,350 msec and echo time of ISO msec was most helpful in distinguishing hemangiomas from cancer (area under the receiving operator characteristic curve [ROC] = 0.99 ± 0.005). All 38 lesions with lesion-liver signal-intensity ratios greater than 3.5 were hemangiomas, whereas all 57 hepatic tumors with a ratio less than 2.5 were malignant neoplasms. A specificity of 93% and sensitivity of 89% can be achieved with use of quantitative signal-intensity data only. The authors conclude that in conjunction with heavily T2-weighted pulse sequences, signal-intensity ratios are an important adjunct to morphologic analysis in the differential diagnosis of hepatic neoplasms.

Original languageEnglish
Pages (from-to)107-110
Number of pages4
JournalRadiology
Volume176
Issue number1
StatePublished - Jul 1990
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Angioma, 761.3194
  • Liver neoplasms, MR studies, 761.1214
  • Liver neoplasms, diagnosis, 761.332, 761.3194
  • Liver neoplasms, secondary, 761.332
  • Magnetic resonance (MR), pulse sequences, 761.1214
  • Magnetic resonance (MR), tissue characterization, 761.1214

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