F-18 FDG PET/CT metabolic tumor volume predicts overall survival in patients with disseminated epithelial ovarian cancer

Rosj Gallicchio, Anna Nardelli, Angela Venetucci, Daniela Capacchione, Alessandra Pelagalli, Cesare Sirignano, Pierpaolo Mainenti, Piernicola Pedicini, Giuseppe Guglielmi, Giovanni Storto

Research output: Contribution to journalArticle

Abstract

Objective We evaluated the prognostic impact of quantitative assessment by maximum standardized uptake value (SUVmax), metabolic tumour volume (MTV) and tumour lesion glycolysis (TLG) on [F-18] FDG PET/CT for patients with peritoneal carcinomatosis from epithelial ovarian cancer (EOC). Methods Thirty-one patients with EOC underwent PET/CT for an early restaging after cytoreductive surgery, having been diagnosed with carcinomatosis (before chemotherapy). The SUVmax, MTV (cm3; 42% threshold) and TLG (g) were registered on residual peritoneal lesions. The patients were followed up 20 ± 12 months thereafter. The PET/CT results were compared to overall survival (OS). Results The Kaplan-Meier survival analysis for the SUVmax did not reveal significant differences in OS (p = 0.48). The MTV survival analysis showed a significant higher OS in patients presenting with a higher tumour burden than those with less tumour burden (p = 0.01; 26 vs. 14 months), whereas TLG exhibited a similar trend though not significant (p = 0.06). Apart from chemo-resistance, the higher the MTV, the better will be the response to chemotherapy. Conclusions Quantitative assessment by MTV rather than by SUVmax and TLG on PET/CT may be helpful for stratifying patients who present with peritoneal carcinomatosis from EOC, in order to implement the appropriate therapeutic regimen.

Original languageEnglish
Pages (from-to)107-113
Number of pages7
JournalEuropean Journal of Radiology
Volume93
DOIs
Publication statusPublished - Aug 1 2017

Keywords

  • Carcinomatosis
  • Epithelial ovarian cancer
  • PET/CT
  • Survival

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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