High temporal resolution 3D gadolinium-enhanced dynamic MR imaging of renal tumors with pharmacokinetic modeling: Preliminary observations

Hersh Chandarana, Alana Amarosa, William C. Huang, Stella K. Kang, Samir Taneja, Jonathan Melamed, Sungheon Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose To assess dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) tracer pharmacokinetic parameters obtained with Generalized Kinetic Model (GKM) and extended Shutter Speed Model (SSM2) in renal tumors stratified by histologic subtypes. Materials and Methods In all, 24 patients with renal tumors were imaged at 1.5 T utilizing DCE-MRI with high temporal resolution (1.2 sec/temporal frame) prior to surgery. Tracer kinetic analysis was performed for the entire tumor using individualized aortic input function. GKM and SSM2 were employed to generate transfer constant (Ktrans), plasma volume, and interstitial volume. These parameters, and ΔK trans (KtransSSM2 - KtransGKM) were compared between tumors stratified by histologic subtype. Results There were 25 renal tumors: 15 clear cell, 4 papillary, 3 chromophobe, and 3 oncocytoma/oncocytic subtype. KtransGKM was significantly higher in chromophobe compared to other subtypes (P < 0.01). Using KtransGKM > 1.0 min -1, chromophobe were diagnosed with 100% sensitivity and 90.9% specificity. KtransSSM2 was higher than KtransGKM for all renal tumors except for all chromophobe and two clear cell subtype. Using K transGKM > 1.0 min-1 and Δ Ktrans < 0, chromophobe could be discriminated from other lesions with 100% accuracy. Conclusion Ktrans obtained with GKM and SSM2 analysis can potentially discriminate chromophobe from other renal lesions with high accuracy.

Original languageEnglish (US)
Pages (from-to)802-808
Number of pages7
JournalJournal of Magnetic Resonance Imaging
Volume38
Issue number4
DOIs
StatePublished - Oct 2013

Keywords

  • dynamic contrast enhanced MRI
  • pharmacokinetic modeling
  • renal cancer
  • renal neoplasm

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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