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Clinical Cancer Research, Vol 3, Issue 9 1457-1466, Copyright © 1997 by American Association for Cancer Research
ARTICLES |
TL Chenevert, PE McKeever and BD Ross
Departments of Radiology and Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA. tlchenev@umich.edu
Quantitative magnetic resonance imaging was performed to evaluate water diffusion and relaxation times, T1 and T2, as potential therapeutic response indicators for brain tumors using the intracranial 9L brain tumor model. Measurements were localized to a column that intersected tumor and contralateral brain and were repeated at 2-day intervals before and following a single injection of 1,3-bis(2-chloroethyl)-1-nitrosourea (13.3 mg/kg). Tumor growth was measured using T2-weighted magnetic resonance imaging to determine the volumetric tumor doubling time (Td) before (Td = 64 +/- 13 h, mean +/- SD, n = 16) and after (Td = 75 +/- 9 h, n = 4) treatment during exponential regrowth. Apparent diffusion coefficient of untreated tumors was independent of tumor volume or growth time, whereas relaxation times increased during early tumor growth. Diffusion displayed the strongest treatment effect and increased before tumor regression by 55% 6-8 days following treatment. Changes in relaxation times were also significant with increases of 16% for T1 and 27% for T2. Diffusion and relaxation times returned to pretreatment levels by 12 days after treatment. Histological examination supports the model that the observed increase in diffusion reflects an increase of extracellular space following treatment. Furthermore, the subsequent apparent diffusion coefficient decrease is a result of viable tumor cells that repopulate this space at a rate dependent on the surviving tumor cell fraction and recurrent tumor doubling time. Serial tumor volume measurements allowed determination of log cell kill of 1.0 +/- 0.3 (n = 4). These results suggest that diffusion measurements are sensitive to therapy-induced changes in cellular structure and may provide an early noninvasive indicator of treatment efficacy.
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