Pharmacokinetic mapping for lesion classification in dynamic breast MRI

Matthias C. Schabel, Glen R. Morrell, Karen Y. Oh, Cheryl A. Walczak, R. Brad Barlow, Leigh A. Neumayer

Research output: Contribution to journalArticle

39 Scopus citations

Abstract

Purpose: To prospectively investigate whether a rapid dynamic MRI protocol, in conjunction with pharmacokinetic modeling, could provide diagnostically useful information for discriminating biopsy-proven benign lesions from malignancies. Materials and Methods: Patients referred to breast biopsy based on suspicious screening findings were eligible. After anatomic imaging, patients were scanned using a dynamic protocol with complete bilateral breast coverage. Maps of pharmacokinetic parameters representing transfer constant (K trans), efflux rate constant (κep), blood plasma volume fraction (υp), and extracellular extravascular volume fraction (υe) were averaged over lesions and used, with biopsy results, to generate receiver operating characteristic curves for linear classifiers using one, two, or three parameters. Results: Biopsy and imaging results were obtained from 93 lesions in 74 of 78 study patients. Classification based on Ktrans and κep gave the greatest accuracy, with an area under the receiver operating characteristic curve of 0.915, sensitivity of 91%, and specificity of 85%, compared with values of 88% and 68%, respectively, obtained in a recent study of clinical breast MRI in a similar patient population. Conclusion: Pharmacokinetic classification of breast lesions is practical on modern MRI hardware and provides significant accuracy for identification of malignancies. Sensitivity of a two-parameter linear classifier is comparable to that reported in a recent multicenter study of clinical breast MRI, while specificity is significantly higher.

Original languageEnglish (US)
Pages (from-to)1371-1378
Number of pages8
JournalJournal of Magnetic Resonance Imaging
Volume31
Issue number6
DOIs
StatePublished - Jun 2010

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Keywords

  • Breast imaging
  • Dynamic contrast-enhanced MRI
  • Tofts model

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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