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

Yoshimi Anzai, Satoshi Minoshima, Gregory T. Wolf, Richard L. Wahl

Research output: Contribution to journalArticlepeer-review

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 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.

Original languageEnglish (US)
Pages (from-to)285-290
Number of pages6
JournalRADIOLOGY
Volume212
Issue number1
DOIs
StatePublished - Jul 1999

Keywords

  • Head and neck neoplasms, diagnosis
  • Head and neck neoplasms, emission CT (ECT)

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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