Head and neck cancer: detection of recurrence with three-dimensional principal components analysis at dynamic FDG PET.
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 on 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.
Department of Radiology, University of Michigan Medical Center, Ann Arbor 48109-0028, USA.
Y
Y
Anzai
S
S
Minoshima
G T
GT
Wolf
R L
RL
Wahl
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003937:Diagnosis, Differential; D005260:Female; D019788:Fluorodeoxyglucose F18; D006258:Head and Neck Neoplasms / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D009364:Neoplasm Recurrence, Local / Q000000981:diagnostic imaging*; D015203:Reproducibility of Results; D014055:Tomography, Emission-Computed
D019788:Fluorodeoxyglucose F18