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Magnetic resonance in medicine, 2002-12, Vol.48 (6), p.980-986
2002
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Autor(en) / Beteiligte
Titel
How does blood oxygen level-dependent (BOLD) contrast correlate with oxygen partial pressure (pO2) inside tumors?
Ist Teil von
  • Magnetic resonance in medicine, 2002-12, Vol.48 (6), p.980-986
Ort / Verlag
New York: Wiley Subscription Services, Inc., A Wiley Company
Erscheinungsjahr
2002
Quelle
Wiley-Blackwell Journals
Beschreibungen/Notizen
  • Blood oxygen level‐dependent (BOLD) contrast‐based functional MRI (fMRI) has been reported as a method to assess the evolution of tumor oxygenation after hyperoxic treatments, because of its sensitivity to changes in blood flow and deoxyhemoglobin content. However a number of questions remain: 1) In view of tumor heterogeneity, how good is the correlation between the MR parameters in gradient‐echo imaging (signal intensity (SI) or effective transverse relaxation time (T *2)) and local tumor oxygen partial pressure (pO2)? 2) Is the magnitude of the change in SI or T *2 a quantitative marker for variation in pO2? 3) Is initial T *2 a good marker for initial pO2? To address these questions, murine tumors were imaged during respiratory challenges at 4.7 Tesla, using fiber‐optic microprobes to simultaneously acquire tumor pO2 and erythrocyte flux. The BOLD signal response (SI and T *2) was temporally correlated with changes in pO2. However, the magnitude of the signal bore no absolute relation to pO2 across tumors, i.e., a given change in SI corresponded to a 25 mmHg pO2 change in one tumor, but to a 100 mmHg change in another. The initial T *2 value did not reliably predict tumor oxygenation at the beginning of the experiment. In conclusion, the major advantages of the technique include noninvasiveness, high spatial resolution, and real‐time detection of pO2 fluctuations. Information afforded by the BOLD imaging technique is qualitative in nature and may be combined with other techniques capable of providing an absolute measure of pO2. Magn Reson Med 48:980–986, 2002. © 2002 Wiley‐Liss, Inc.

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