• Title of article

    Evaluation of lung tumor perfusion by dynamic contrast-enhanced MRI

  • Author/Authors

    Pauls، نويسنده , , Sandra and Mottaghy، نويسنده , , Felix M. and Schmidt، نويسنده , , Stefan A. and Krüger، نويسنده , , Stefan and Mِller، نويسنده , , Peter and Brambs، نويسنده , , Hans-Jürgen and Wunderlich، نويسنده , , Arthur، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2008
  • Pages
    8
  • From page
    1334
  • To page
    1341
  • 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
  • Journal title
    Magnetic Resonance Imaging
  • Serial Year
    2008
  • Journal title
    Magnetic Resonance Imaging
  • Record number

    1832763