Skip to main navigation Skip to search Skip to main content

Comparison between 18F-FDG PET, in-line PET/CT, and software fusion for restaging of recurrent colorectal cancer

  • Jong Ho Kim
  • , Johannes Czernin
  • , Martin S. Allen-Auerbach
  • , Benjamin S. Halpern
  • , Barbara J. Fueger
  • , Joel R. Hecht
  • , Osman Ratib
  • , Michael E. Phelps
  • , Wolfgang A. Weber

Research output: Contribution to journalArticlepeer-review

115 Scopus citations

Abstract

The aim of this study was to compare PET with 18F-FDG PET, in-line PET/CT, and software fusion of independently acquired CT and PET scans for staging of recurrent colorectal cancer (CRC). Methods: Fifty-one patients with suspected recurrent CRC were studied with in-line PET/CT. Thirty-four of these patients underwent an additional CT scan of the chest or abdomen within 4 wk of PET/CT. Software fusion of PET and CT was performed using a fully automated, intensity-based algorithm. The accuracy of the coregistration of PET and CT scans was evaluated by measuring the distance between landmarks visible in the PET and CT images. Histologic evaluation and follow-up for 6 mo served as the gold standard for the presence or absence of recurrent CRC. Results: On a patient basis, the accuracy of staging was significantly higher for in-line PET/CT than for PET (88% vs. 71%, P = 0.01). Software fusion of the independently acquired PET and CT images was unsuccessful in 8 patients (24%). In the remaining patients, the mean distance between 62 landmarks visible in PET and CT was 12.9 ± 7.9 mm, whereas it was only 7.7 ± 4.7 mm for in-line PET/CT (P < 0.001). Conclusion: In patients with suspected recurrent CRC, in-line PET/CT significantly improves staging compared with PET alone. Due to its high failure rate, software fusion of independently acquired PET and CT studies cannot be considered to represent an alternative to in-line PET/CT.

Original languageEnglish
Pages (from-to)587-595
Number of pages9
JournalJournal of Nuclear Medicine
Volume46
Issue number4
StatePublished - 2005
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Colorectal cancer staging
  • F-FDG PET
  • In-line PET/CT
  • Recurrent colorectal cancer
  • Software image fusion

Fingerprint

Dive into the research topics of 'Comparison between 18F-FDG PET, in-line PET/CT, and software fusion for restaging of recurrent colorectal cancer'. Together they form a unique fingerprint.

Cite this