Modeling acute and chronic hypoxia using serial images of(18)F-FMISO PET Journal Article
| Authors: | Wang, K.; Yorke, E.; Nehmeh, S. A.; Humm, J. L.; Ling, C. C. |
| Article Title: | Modeling acute and chronic hypoxia using serial images of(18)F-FMISO PET |
| Abstract: | Purpose: Two types of tumor hypoxia most likely exist in human cancers: Chronic hypoxia due to the paucity of blood capillaries and acute hypoxia due to temporary shutdown of microvasculatures or fluctuation in the red cell flux. In a recent hypoxia imaging study using (18)F-FMISO PET, the authors observed variation in tracer uptake in two sequential images and hypothesized that variation in acute hypoxia may be the cause. In this study, they develop an iterative optimization method to delineate chronic and acute hypoxia based on the F 18 -FMISO PET serial images. Methods: They assume that (1) chronic hypoxia is the same in the two scans and can be represented by a Gaussian distribution, while (2) acute hypoxia varies in the two scans and can be represented by Poisson distributions. For validation, they used Monte Carlo simulations to generate pairs of F 18 -FMISO PET images with known proportion of chronic and acute hypoxia and then applied the optimization method to the simulated serial images, yielding excellent fit between the input and the fitted results. They then applied this method to the serial (18)F-FMISO PET images of 14 patients with head and neck cancers. Results: The results show good fit of the chronic hypoxia to Gaussian distributions for 13 out of 14 patients (with R (2)>0.7). Similarly, acute hypoxia appears to be well described by the Poisson distribution (R(2)>0.7) with three exceptions. The model calculation yielded the amount of acute hypoxia, which differed among the patients, ranging from ∼13% to 52%, with an average of ∼34%. Conclusions: This is the first effort to separate acute and chronic hypoxia from serial PET images of cancer patients. © 2009 American Association of Physicists in Medicine. |
| Keywords: | adult; clinical article; controlled study; aged; positron emission tomography; sensitivity and specificity; radiopharmaceuticals; reproducibility of results; models, biological; image interpretation, computer-assisted; tumor volume; oxygen; algorithms; mathematical model; hypoxia; chronic disease; image enhancement; subtraction technique; head and neck cancer; head and neck neoplasms; computer assisted emission tomography; computer simulation; 1 fluoro 3 (2 nitro 1 imidazolyl) 2 propanol f 18; cell hypoxia; misonidazole; acute disease; monte carlo method; acute and chronic hypoxia; iterative optimization method; monte carlo simulations; serial <sup>18</sup>f-fmiso pet images |
| Journal Title: | Medical Physics |
| Volume: | 36 |
| Issue: | 10 |
| ISSN: | 0094-2405 |
| Publisher: | American Association of Physicists in Medicine |
| Date Published: | 2009-01-01 |
| Start Page: | 4400 |
| End Page: | 4408 |
| Language: | English |
| DOI: | 10.1118/1.3213092 |
| PUBMED: | 19928070 |
| PROVIDER: | scopus |
| PMCID: | PMC2852451 |
| DOI/URL: | |
| Notes: | --- - "Cited By (since 1996): 3" - "Export Date: 30 November 2010" - "CODEN: MPHYA" - "Source: Scopus" |
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