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

Authors :
P.P. Mainenti
Piernicola Pedicini
Daniela Capacchione
Giuseppe Guglielmi
Angela Venetucci
Giovanni Storto
Cesare Sirignano
Rosj Gallicchio
Anna Nardelli
Alessandra Pelagalli
Gallicchio, Rosj
Nardelli, Anna
Venetucci, ANGELA ASSUNTA
Capacchione, Daniela
Pelagalli, Alessandra
Sirignano, Cesare
Mainenti, Pierpaolo
Pedicini, Piernicola
Guglielmi, Giuseppe
Storto, Giovanni
Source :
European Journal of Radiology. 93:107-113
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

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 (cm 3 ; 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.

Details

ISSN :
0720048X
Volume :
93
Database :
OpenAIRE
Journal :
European Journal of Radiology
Accession number :
edsair.doi.dedup.....caf25849b126f7382bcac15caa7068a6
Full Text :
https://doi.org/10.1016/j.ejrad.2017.05.036