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. 2022 Jun 1;47(6):525-531.
doi: 10.1097/RLU.0000000000004135. Epub 2022 Mar 30.

18F-FDG PET/CT May Predict Tumor Type and Risk Score in Gestational Trophoblastic Disease

Carolina Bezzi, Lavinia Monaco  1 , Samuele Ghezzo, Gregory Mathoux  1 , Alice Bergamini, Enrica Zambella  2 , Federico Fallanca  3 , Ana Maria Samanes Gajate  3 , Luca Presotto  3 , Giulia Sabetta  4 , Giorgia Mangili  4 , Raffaella Cioffi  4 , Valentino Bettinardi  3 , Luigi Gianolli  3 , Paola Mapelli, Maria Picchio
Affiliations

18F-FDG PET/CT May Predict Tumor Type and Risk Score in Gestational Trophoblastic Disease

Carolina Bezzi et al. Clin Nucl Med. .

Abstract

Purpose: The aim of this study was to investigate the role of 18F-FDG PET/CT in predicting pathological prognostic factors, including tumor type and International Federation of Gynecology and Obstetrics (FIGO) score, in gestational trophoblastic disease (GTD).

Methods: Retrospective monocentric study including 24 consecutive patients who underwent to 18F-FDG PET/CT from May 2005 to March 2021 for GTD staging purpose. The following semiquantitative PET parameters were measured from the primary tumor and used for the analysis: maximum standardized uptake value (SUVmax), SUVmean, metabolic tumor volume (MTV) and total lesion glycolisis (TLG). Statistical analysis included Spearman correlation coefficient to evaluate the correlations between imaging parameters and tumor type (nonmolar trophoblastic vs postmolar trophoblastic tumors) and risk groups (high vs low, defined according to the FIGO score), whereas area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to assess the predictive value of the PET parameters. Mann-Whitney U test was used to further describe the parameter's potential in differentiating the populations.

Results: SUVmax and SUVmean resulted fair (AUC, 0.783; 95% confidence interval [CI], 0.56-0.95) and good (AUC, 0.811; 95% CI, 0.59-0.97) predictors of tumor type, respectively, showing a low (ρ = 0.489, adjusted P = 0.030) and moderate (ρ = 0.538, adjusted P = 0.027) correlation. According to FIGO score, TLG was instead a fair predictor (AUC, 0.770; 95% CI, 0.50-0.99) for patient risk stratification.

Conclusions: 18F-FDG PET parameters have a role in predicting GTD pathological prognostic factors, with SUVmax and SUVmean being predictive for tumor type and TLG for risk stratification.

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Conflict of interest statement

Conflicts of interest and sources of funding: none declared.

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