Abdominal Imaging

, Volume 33, Issue 1, pp 87–93

Staging of peritoneal carcinomatosis: enhanced CT vs. PET/CT

  • Clarisse Dromain
  • Sophie Leboulleux
  • Anne Auperin
  • Diane Goere
  • David Malka
  • Jean Lumbroso
  • Martin Schumberger
  • Robert Sigal
  • Dominique Elias
Article

DOI: 10.1007/s00261-007-9211-7

Cite this article as:
Dromain, C., Leboulleux, S., Auperin, A. et al. Abdom Imaging (2008) 33: 87. doi:10.1007/s00261-007-9211-7

Abstract

Purpose

To assess and compare the performance of CT and 18F-FDG-PET/CT in the evaluation of peritoneal carcinomatosis (PC).

Method and materials

Thirty consecutive patients with PC and scheduled for a surgery underwent a CT of the abdomen and pelvis and a whole-body 18F-FDG PET/CT. The extent of PC was assessed precisely using the peritoneal cancer index combining the distribution of tumor throughout 11 abdominopelvic regions with a lesion size score. CT and PET/CT imaging results were compared in all patients with intraoperative findings using an interclass correlation test.

Results

The presence of PC was correctly determined on CT and PET/CT in 23/28 and 16/28 patients, respectively. The extent of PC was understaged with CT and PET/CT in 27 patients and overstaged with CT and PET/CT in 1 and 2 patients, respectively. The interclass correlation was 0.53 (moderate) between CT and surgery and 0.12 (low) between PET/CT and surgery. The interclass correlation was higher for mucinous tumor (0.63) than for non-mucinous (0.16) on CT imaging whereas no difference was found in PET/CT.

Conclusion

The intraperitoneal assessment of the extent of carcinomatosis, necessary to assess prognosis and treatment planning, is not accurate enough with CT and PET/CT imaging.

Keywords

Peritoneal carcinomatosisFDG-PETComputed tomographyColorectal carcinomaPeritoneum CTMucinous

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Clarisse Dromain
    • 1
  • Sophie Leboulleux
    • 2
  • Anne Auperin
    • 3
  • Diane Goere
    • 4
  • David Malka
    • 5
  • Jean Lumbroso
    • 2
  • Martin Schumberger
    • 2
  • Robert Sigal
    • 1
  • Dominique Elias
    • 4
  1. 1.Department of RadiologyInstitut Gustave-RoussyVillejuif CedexFrance
  2. 2.Department of Nuclear medicineInstitut Gustave-RoussyVillejuif CedexFrance
  3. 3.Department of StatisticInstitut Gustave-RoussyVillejuif CedexFrance
  4. 4.Department of SurgeryInstitut Gustave-RoussyVillejuif CedexFrance
  5. 5.Department of MedicineInstitut Gustave-RoussyVillejuif CedexFrance