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Quantitative assessment of the time course of infarct signal intensity on diffusion-weighted images.

Publication ,  Journal Article
Eastwood, JD; Engelter, ST; MacFall, JF; Delong, DM; Provenzale, JM
Published in: Ajnr Am J Neuroradiol
April 2003

BACKGROUND AND PURPOSE: Diffusion-weighted (DW) MR imaging is important in evaluating acute stroke, and knowledge of the signal intensity changes associated with acute stroke is valuable. Our purpose was to model the time course of the signal intensity of infarcts and to characterize the apparent diffusion coefficient (ADC) and T2 effects on total signal intensity. METHODS: Ninety-two patients were included in this prospective cross-sectional study. Signal intensity in infarcts (4 hours to 417 days) and control regions were recorded on DW images (b = 0 and 1000 s/mm(2)), ADC maps, and ratio images (image with b = 1000 s/mm(2) divided by image with b = 0 s/mm(2)). Cubic spline functions were used for polynomial fitting. The time courses of log signal intensity with log time were modeled. The independent contributions of T2 and ADC to the total signal intensity were retrospectively compared at 0-63 hours, 3-10 days, 11-57 days, and 57 days onward. RESULTS: Mean signal intensity on DW images was maximal at 40 hours after infarction and normalized at 57 days. At 0-63 hours, the positive effect of ADC on signal intensity was greater than that of T2 (log value,13 +/- 0.04 vs 0.11 +/- 0.05; P =.04). At days 3-10, the positive T2 effect predominated (0.13 +/- 0.08 vs 0.08 +/- 0.04; P =.12). At 10-57 days, the positive T2 effect was greater than the negative ADC effect. After day 57, the negative ADC effect predominated. CONCLUSION: The signal intensity of infarcts on DW images normalizes at 57 days, which is substantially later than previously suggested. T2 (shine-through) effect contributes largely to the total infarct signal intensity.

Duke Scholars

Published In

Ajnr Am J Neuroradiol

ISSN

0195-6108

Publication Date

April 2003

Volume

24

Issue

4

Start / End Page

680 / 687

Location

United States

Related Subject Headings

  • Time Factors
  • Software
  • Sensitivity and Specificity
  • Retrospective Studies
  • Prospective Studies
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Mathematical Computing
  • Male
  • Image Processing, Computer-Assisted
 

Citation

APA
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ICMJE
MLA
NLM
Eastwood, J. D., Engelter, S. T., MacFall, J. F., Delong, D. M., & Provenzale, J. M. (2003). Quantitative assessment of the time course of infarct signal intensity on diffusion-weighted images. Ajnr Am J Neuroradiol, 24(4), 680–687.
Eastwood, James D., Stefan T. Engelter, James F. MacFall, David M. Delong, and James M. Provenzale. “Quantitative assessment of the time course of infarct signal intensity on diffusion-weighted images.Ajnr Am J Neuroradiol 24, no. 4 (April 2003): 680–87.
Eastwood JD, Engelter ST, MacFall JF, Delong DM, Provenzale JM. Quantitative assessment of the time course of infarct signal intensity on diffusion-weighted images. Ajnr Am J Neuroradiol. 2003 Apr;24(4):680–7.
Eastwood, James D., et al. “Quantitative assessment of the time course of infarct signal intensity on diffusion-weighted images.Ajnr Am J Neuroradiol, vol. 24, no. 4, Apr. 2003, pp. 680–87.
Eastwood JD, Engelter ST, MacFall JF, Delong DM, Provenzale JM. Quantitative assessment of the time course of infarct signal intensity on diffusion-weighted images. Ajnr Am J Neuroradiol. 2003 Apr;24(4):680–687.

Published In

Ajnr Am J Neuroradiol

ISSN

0195-6108

Publication Date

April 2003

Volume

24

Issue

4

Start / End Page

680 / 687

Location

United States

Related Subject Headings

  • Time Factors
  • Software
  • Sensitivity and Specificity
  • Retrospective Studies
  • Prospective Studies
  • Nuclear Medicine & Medical Imaging
  • Middle Aged
  • Mathematical Computing
  • Male
  • Image Processing, Computer-Assisted