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

Authors
Anzai, Y Minoshima, S Wolf, GT Wahl, RL
Citation
Y. Anzai et al., Head and neck cancer: Detection of recurrence with three-dimensional principal components analysis at dynamic FDG PET, RADIOLOGY, 212(1), 1999, pp. 285-290
Citations number
25
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Medical Research Diagnosis & Treatment
Journal title
RADIOLOGY
ISSN journal
00338419 → ACNP
Volume
212
Issue
1
Year of publication
1999
Pages
285 - 290
Database
ISI
SICI code
0033-8419(199907)212:1<285:HANCDO>2.0.ZU;2-I
Abstract
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 abo ut FDG uptake, which improved tissue characterization of FDG PET images. Th e combination of standardized uptake value and PCA image sets likely will i mprove the reliability of tumor detection in head and neck cancers.