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A Bio-Imaging Signature as a Predictor of Clinical Outcomes in Locally Advanced Pancreatic Cancer

Purpose: To evaluate the predictive value of (18)F-FDG PET/CT semiquantitative parameters of the primary tumour and CA 19-9 levels assessed before treatment in patients with locally advanced pancreatic cancer (LAPC). Methods: Among one-hundred twenty patients with LAPC treated at our institution wit...

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Autores principales: Fiore, Michele, Taralli, Silvia, Trecca, Pasquale, Scolozzi, Valentina, Marinelli, Luca, Triumbari, Elizabeth K. A., Caputo, Damiano, Angeletti, Silvia, Ciccozzi, Massimo, Coppola, Alessandro, Greco, Carlo, Ippolito, Edy, Calcagni, Maria Lucia, Coppola, Roberto, Ramella, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464714/
https://www.ncbi.nlm.nih.gov/pubmed/32717967
http://dx.doi.org/10.3390/cancers12082016
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author Fiore, Michele
Taralli, Silvia
Trecca, Pasquale
Scolozzi, Valentina
Marinelli, Luca
Triumbari, Elizabeth K. A.
Caputo, Damiano
Angeletti, Silvia
Ciccozzi, Massimo
Coppola, Alessandro
Greco, Carlo
Ippolito, Edy
Calcagni, Maria Lucia
Coppola, Roberto
Ramella, Sara
author_facet Fiore, Michele
Taralli, Silvia
Trecca, Pasquale
Scolozzi, Valentina
Marinelli, Luca
Triumbari, Elizabeth K. A.
Caputo, Damiano
Angeletti, Silvia
Ciccozzi, Massimo
Coppola, Alessandro
Greco, Carlo
Ippolito, Edy
Calcagni, Maria Lucia
Coppola, Roberto
Ramella, Sara
author_sort Fiore, Michele
collection PubMed
description Purpose: To evaluate the predictive value of (18)F-FDG PET/CT semiquantitative parameters of the primary tumour and CA 19-9 levels assessed before treatment in patients with locally advanced pancreatic cancer (LAPC). Methods: Among one-hundred twenty patients with LAPC treated at our institution with initial chemotherapy followed by curative chemoradiotherapy (CRT) from July 2013 to January 2019, a secondary analysis with baseline (18)F-FDG PET/CT was conducted in fifty-eight patients. Pre-treatment CA 19-9 level and the maximum standardized uptake value (SUVmax), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) of primary tumour were measured. The receiving operating characteristics (ROC) analysis was performed to define the cut-off point of SUVmax, MTV, TLG and CA 19-9 values to use in prediction of early progression (EP), local progression (LP) and overall survival (OS). Areas under the curve (AUCs) were assessed for all variables. Post-test probability was calculated to evaluate the advantage for parameters combination. Results: For EP, CA 19-9 level > 698 U/mL resulted the best marker to identify patient at higher risk with OR of 5.96 (95% CI, 1.66–19.47; p = 0.005) and a Positive Predictive Value (PPV) of 61%. For LP, the most significant parameter was TLG (OR 9.75, 95% CI, 1.64–57.87, p = 0.012), with PPV of 83%. For OS, the most significant parameter was MTV (OR 3.12, 95% CI, 0.9–10.83, p = 0.07) with PPV of 88%. Adding consecutively each of the other parameters, PPV to identify patients at risk resulted further increased (>90%). Conclusions: Pre-treatment CA 19-9 level, as well as MTV and TLG values of primary tumour at baseline (18)F-FDG PET/CT and their combination, may represent significant predictors of EP, LP and OS in LAPC patients.
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spelling pubmed-74647142020-09-04 A Bio-Imaging Signature as a Predictor of Clinical Outcomes in Locally Advanced Pancreatic Cancer Fiore, Michele Taralli, Silvia Trecca, Pasquale Scolozzi, Valentina Marinelli, Luca Triumbari, Elizabeth K. A. Caputo, Damiano Angeletti, Silvia Ciccozzi, Massimo Coppola, Alessandro Greco, Carlo Ippolito, Edy Calcagni, Maria Lucia Coppola, Roberto Ramella, Sara Cancers (Basel) Article Purpose: To evaluate the predictive value of (18)F-FDG PET/CT semiquantitative parameters of the primary tumour and CA 19-9 levels assessed before treatment in patients with locally advanced pancreatic cancer (LAPC). Methods: Among one-hundred twenty patients with LAPC treated at our institution with initial chemotherapy followed by curative chemoradiotherapy (CRT) from July 2013 to January 2019, a secondary analysis with baseline (18)F-FDG PET/CT was conducted in fifty-eight patients. Pre-treatment CA 19-9 level and the maximum standardized uptake value (SUVmax), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) of primary tumour were measured. The receiving operating characteristics (ROC) analysis was performed to define the cut-off point of SUVmax, MTV, TLG and CA 19-9 values to use in prediction of early progression (EP), local progression (LP) and overall survival (OS). Areas under the curve (AUCs) were assessed for all variables. Post-test probability was calculated to evaluate the advantage for parameters combination. Results: For EP, CA 19-9 level > 698 U/mL resulted the best marker to identify patient at higher risk with OR of 5.96 (95% CI, 1.66–19.47; p = 0.005) and a Positive Predictive Value (PPV) of 61%. For LP, the most significant parameter was TLG (OR 9.75, 95% CI, 1.64–57.87, p = 0.012), with PPV of 83%. For OS, the most significant parameter was MTV (OR 3.12, 95% CI, 0.9–10.83, p = 0.07) with PPV of 88%. Adding consecutively each of the other parameters, PPV to identify patients at risk resulted further increased (>90%). Conclusions: Pre-treatment CA 19-9 level, as well as MTV and TLG values of primary tumour at baseline (18)F-FDG PET/CT and their combination, may represent significant predictors of EP, LP and OS in LAPC patients. MDPI 2020-07-23 /pmc/articles/PMC7464714/ /pubmed/32717967 http://dx.doi.org/10.3390/cancers12082016 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fiore, Michele
Taralli, Silvia
Trecca, Pasquale
Scolozzi, Valentina
Marinelli, Luca
Triumbari, Elizabeth K. A.
Caputo, Damiano
Angeletti, Silvia
Ciccozzi, Massimo
Coppola, Alessandro
Greco, Carlo
Ippolito, Edy
Calcagni, Maria Lucia
Coppola, Roberto
Ramella, Sara
A Bio-Imaging Signature as a Predictor of Clinical Outcomes in Locally Advanced Pancreatic Cancer
title A Bio-Imaging Signature as a Predictor of Clinical Outcomes in Locally Advanced Pancreatic Cancer
title_full A Bio-Imaging Signature as a Predictor of Clinical Outcomes in Locally Advanced Pancreatic Cancer
title_fullStr A Bio-Imaging Signature as a Predictor of Clinical Outcomes in Locally Advanced Pancreatic Cancer
title_full_unstemmed A Bio-Imaging Signature as a Predictor of Clinical Outcomes in Locally Advanced Pancreatic Cancer
title_short A Bio-Imaging Signature as a Predictor of Clinical Outcomes in Locally Advanced Pancreatic Cancer
title_sort bio-imaging signature as a predictor of clinical outcomes in locally advanced pancreatic cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7464714/
https://www.ncbi.nlm.nih.gov/pubmed/32717967
http://dx.doi.org/10.3390/cancers12082016
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