期刊论文详细信息
Journal of Nuclear Medicine
18F-FDG Kinetics in Locally Advanced Breast Cancer: Correlation with Tumor Blood Flow and Changes in Response to Neoadjuvant Chemotherapy
Erin K. Schubert1  Jeffrey Tseng1  David A. Mankoff1  Jeanne M. Link1  Mark Muzi1  Lisa K. Dunnwald1  Satoshi Minoshima1 
[1] Division of Nuclear Medicine, Department of Radiology, University of Washington, Seattle, Washington Division of Nuclear Medicine, Department of Radiology, University of Washington, Seattle, Washington Division of Nuclear Medicine, Department of Radiology, University of Washington, Seattle, Washington
关键词: 18F-FDG;    15O-water;    blood flow;    kinetic analysis;    breast cancer;    tumor biology;    response to therapy;    PET;   
DOI  :  
学科分类:医学(综合)
来源: Society of Nuclear Medicine
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【 摘 要 】

The aim of this study was to characterize the biologic response of locally advanced breast cancer (LABC) to chemotherapy using 15O-water–derived blood flow measurements and 18F-FDG–derived glucose metabolism rate parameters. Methods: Thirty-five LABC patients underwent PET with 15O-water and 18F-FDG before neoadjuvant chemotherapy and 2 mo after the initiation of treatment. Kinetic analysis for 15O-water was performed using a single tissue compartment model to calculate blood flow; a 2-tissue compartment model was used to estimate 18F-FDG rate parameters K1, k2, k3, and the flux constant, Ki. Correlations and ratios between blood flow and 18F-FDG rate parameters were calculated and compared with pathologic tumor response. Results: Although blood flow and 18F-FDG transport (K1) were correlated before chemotherapy, there was relatively poor correlation between blood flow and the phosphorylation constant (k3) or the overall 18F-FDG flux (Ki). Blood flow and 18F-FDG flux were more closely matched after chemotherapy, with changes in k3 accounting for the increased correlation. These findings were consistent with a decline in both the Ki/flow and k3/flow ratios with therapy. The ratio of 18F-FDG flux to transport (Ki/K1) after 2 mo of chemotherapy was predictive of ultimate response. Conclusion: The pattern of tumor glucose metabolism in LABC, as reflected by analysis of 18F-FDG rate parameters, changes after therapy, even in patients with modest clinical responses. This may indicate a change in tumor “metabolic phenotype” in response to treatment. A low ratio of glucose metabolism (reflected by Ki) to glucose delivery (reflected by K1 and blood flow) after therapy is associated with a favorable response. Further work is needed to understand the tumor biology underlying these findings.

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