Head and neck cancer: Detection of recurrence with three-dimensional principal components analysis at dynamic FDG PET

被引：34

作者：

Anzai, Y

Minoshima, S

Wolf, GT

Wahl, RL

机构：

[1] Univ Michigan, Med Ctr, Univ Hosp B1G505, Dept Radiol, Ann Arbor, MI 48109 USA

[2] Univ Michigan, Med Ctr, Univ Hosp B1G505, Dept Internal Med Nucl Med, Ann Arbor, MI 48109 USA

[3] Univ Michigan, Med Ctr, Univ Hosp B1G505, Dept Otolaryngol & Head & Neck Surg, Ann Arbor, MI 48109 USA

来源：

RADIOLOGY | 1999年 / 212卷 / 01期

关键词：

head and neck neoplasms; diagnosis; emission CT (ECT);

D O I：

10.1148/radiology.212.1.r99jl02285

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Fully automated principal components analysis (PCA) was applied to dynamic 2-[fluorine-18]fluoro-2-deoxy-D-glucose (FDG) positron emission tomographic (PET) images obtained in 15 patients with previously treated head and neck cancer. PCA with time-activity curves incorporated kinetic information about FDG uptake, which improved tissue characterization of FDG PET images. The combination of standardized uptake value and PCA image sets likely will improve the reliability of tumor detection in head and neck cancers.

引用

页码：285 / 290

页数：6

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