Original Article
Journal of Cerebral Blood Flow & Metabolism (2004) 24, 887–897; doi:10.1097/01.WCB.0000124321.60992.87
Dynamic Tracking of Acute Ischemic Tissue Fates Using Improved Unsupervised ISODATA Analysis of High-Resolution Quantitative Perfusion and Diffusion Data
Supported in part by a Scientist Development Grant from the American Heart Association and a grant from the National Institute of Health (NINDS, R01-NS045879)TQD.
Qiang Shen*,1, Hongxia Ren*,1, Marc Fisher
, James Bouley
and Timothy Q Duong*,‡,§,
- *Center for Comparative NeuroImaging, Department of Psychiatry, University of Massachusetts Medical Center, Worcester, Massachusetts, U.S.A.
- ‡Programs in Neuroscience, University of Massachusetts Medical Center, Worcester, Massachusetts, U.S.A.
- §Biomedical Engineering & Medical Physics, University of Massachusetts Medical Center, Worcester, Massachusetts, U.S.A.
Department of Neurology, University of Massachusetts Medical Center, Worcester, Massachusetts, U.S.A.
Correspondence: Timothy Q Duong, Center for Comparative NeuroImaging, Department of Psychiatry, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, U.S.A.; e-mail: timothy.duong@umassmed.edu
1Q.S. and H.R. contributed equally to this work.
Received 19 January 2004; Revised 2 February 2004; Accepted 3 February 2004.
Abstract
High-resolution (200
200
1,500
m3) imaging was performed to derive quantitative cerebral blood flow (CBF) and apparent diffusion coefficient (ADC) maps in stroke rats (permanent occlusion) every 30 minutes up to 3 hours after occlusion onset, followed by histology at 24 hours. An improved automated iterative-self-organizing-data-analysis-algorithm (ISODATA) was developed to dynamically track ischemic tissue fate on a pixel-by-pixel basis during the acute phase. ISODATA-resolved clusters were overlaid on the CBF-ADC scatterplots and image spaces. Tissue volume ADC, and CBF of each ISODATA cluster were derived. In contrast to the single-cluster normal left hemisphere (ADC = 0.74
0.02
10-3 mm2/s, CBF = 1.36
0.22 mL g-1min-1, mean
SD, n = 8), the right ischemic hemisphere exhibited three ISODATA clusters, namely: "normal" (normal ADC and CBF), "ischemic core" (low CBF and ADC), and at-risk "perfusion-diffusion mismatch" (low CBF but normal ADC). At 180 minutes, the mismatch disappeared in five rats (Group I, 180-minute "core" lesion volume = 255
62 mm3 and 24-hour infarct volume = 253
55 mm3, P > 0.05), while a substantial mismatch persisted in three rats (Group II, 180-minute CBF-abnormal volume = 198
7 mm3 and 24-hour infarct volume 148
18 mm3, P < 0.05). The CBF (0.3
0.09 mL g-1min-1) of the "persistent mismatch" (Group II, 0.3
0.09 mL g -1 min-1) was above the CBF viability threshold (0.2 to 0.3 mL g-1min-1) throughout and its ADC (0.70
0.03
10-3 mm2/s) did not decrease as ischemia progressed. In contrast, the CBF (0.08
0.03 mL g-1min-1) of the analogous brain region in Group I was below the CBF viability threshold, and its ADC gradually decreased from 0.63
0.05 to 0.43
0.03
10-3 mm2/s (ADC viability threshold = 0.53
0.02
10-3 mm2/s). The modified ISODATA analysis of the ADC and CBF tissue characteristics during the acute phase could provide a useful and unbiased means to characterize and predict tissue fates in ischemic brain injury and to monitor therapeutic intervention.
Keywords:
Viability thresholds, Penumbra, Perfusion-diffusion mismatch, Diffusion-weighted imaging, Perfusion-weighted imaging, Multispectral analysis
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