Dynamic susceptibility contrast MR imaging: Correlation of signal intensity changes with cerebral blood volume measurements

Soonmee Cha, Stanley Lu, Glyn Johnson, Edmond A. Knopp

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Cerebral blood volume (CBV) maps derived from dynamic susceptibility contrast (DSC) magnetic resonance (MR) imaging provide valuable information regarding intracranial micro-hemodynamics and have been helpful in characterizing primary brain tumors and guiding stereotactic biopsy. Another parameter, the maximum signal drop (MSD) during the first pass of intravascular contrast bolus due to T2* effect, can also be measured directly without extensive post-processing and data manipulation. The purpose of our study is to determine whether MSD maps provide information similar to CBV maps in patients presenting with intracranial mass lesions. Twenty-nine patients with various intracranial mass lesions were studied with DSC MR imaging prior to stereotactic biopsy or volumetric resection. Maps of both CBV and MSD are calculated on a pixel-by-pixel basis and displayed as color overlays over the raw images. Relative CBV (rCBV) and MSD (rMSD) values were measured in regions of interest (ROIs) within areas of abnormality and compared. In addition, computer-generated noise was added to the data to estimate the sensitivity of each measurement to noise. The rMSD values were strongly correlated with rCBV values (r = 0.87, P = 0.0001). CBV values were much more sensitive to added noise than MSD values (P <0.01). MSD maps derived from DSC MR imaging provide information similar to CBV maps in patients with intracranial mass lesions. MSD maps are a simple and reliable indicator of vascularity that can easily be incorporated into routine MR imaging.
Original languageEnglish
Pages (from-to)114-119
Number of pages6
JournalJournal of Magnetic Resonance Imaging
Issue number2
Publication statusPublished - Feb 2000


  • 0 (Contrast Media)
  • Brain Neoplasms
  • Blood supply
  • Pathology
  • Cerebrovascular Circulation Contrast Media
  • Echo-Planar Imaging Female Humans Magnetic Resonance Imaging
  • Methods Male Middle Aged Signal Processing
  • Computer-Assisted

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