Magnetic Resonance Imaging
Volume 26, Issue 10 , Pages 1334-1341, December 2008

Evaluation of lung tumor perfusion by dynamic contrast-enhanced MRI

  • Sandra Pauls

      Affiliations

    • Department of Diagnostic and Interventional Radiology, University Hospital Ulm, 89081 Ulm, Germany
    • Corresponding Author InformationCorresponding author. Tel.: +49 731 500 61104; fax: +49 731 500 61105.
  • ,
  • Felix M. Mottaghy

      Affiliations

    • Department of Nuclear Medicine, University Hospital Gasthuisberg, KU Leuven, 3000 Leuven, Belgium
  • ,
  • Stefan A. Schmidt

      Affiliations

    • Department of Diagnostic and Interventional Radiology, University Hospital Ulm, 89081 Ulm, Germany
  • ,
  • Stefan Krüger

      Affiliations

    • Department of Internal Medicine I, University Hospital Aachen, 52057 Aachen, Germany
  • ,
  • Peter Möller

      Affiliations

    • Department of Pathology, University Hospital Ulm, 89081 Ulm, Germany
  • ,
  • Hans-Jürgen Brambs

      Affiliations

    • Department of Diagnostic and Interventional Radiology, University Hospital Ulm, 89081 Ulm, Germany
  • ,
  • Arthur Wunderlich

      Affiliations

    • Department of Diagnostic and Interventional Radiology, University Hospital Ulm, 89081 Ulm, Germany

Received 24 August 2007; received in revised form 14 April 2008; accepted 14 April 2008. published online 06 June 2008.

Abstract 

The characterization of solid pulmonary lesions with imaging methods remains a diagnostic challenge. The aim of this study was to correlate kinetic parameters of dynamic perfusion magnetic resonance imaging (MRI) with histological tumor classification. Dynamic contrast-enhanced MRI of 31 patients with pulmonary masses (five benign lesions, 26 malignant tumors) was acquired in the tumor areas every 20 s for a mean duration of 124 s. Contrast uptake (CU) was measured by signal analysis in regions of interest (ROIs). The beginning and duration of CU, maximum CU (MCU, % of baseline), maximum contrast upslope (%/s) and the delay to the maximum contrast upslope (s) were calculated. All lesions were classified histologically. The beginning of CU correlated significantly with the MCU delay in all lesions (P=.033). The frequency of a plateau phase was higher in malignant tumors compared to benign lesions (P=.031). Masses with a high MCU showed more frequently a washout of contrast medium after a plateau phase (P=.006) and a higher maximum contrast upslope (P<.001). The MCU delay time was shorter in adenocarcinoma than in squamous cell carcinoma (P=.004). These results indicate that dynamic contrast enhanced MRI might become instrumental in differentiating benign from malignant intrapulmonary tumors and distinguishing adenocarcinoma from squamous cell carcinoma.

Keywords: Magnetic resonance imaging, (MRI), Lung tumor, Carcinoma, Perfusion

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PII: S0730-725X(08)00137-9

doi:10.1016/j.mri.2008.04.005

Magnetic Resonance Imaging
Volume 26, Issue 10 , Pages 1334-1341, December 2008