Early variation of 18-fluorine-labelled fluorodeoxyglucose PET-derived parameters after chemoradiotherapy as predictors of survival in locally advanced pancreatic carcinoma patients.


Journal

Nuclear medicine communications
ISSN: 1473-5628
Titre abrégé: Nucl Med Commun
Pays: England
ID NLM: 8201017

Informations de publication

Date de publication:
Oct 2019
Historique:
pubmed: 1 8 2019
medline: 6 2 2020
entrez: 1 8 2019
Statut: ppublish

Résumé

To investigate if early variation of PET-derived parameters after concomitant chemoradiotherapy (CRT) predicts overall survival (OS), local relapse free survival (LRFS), distant relapse free survival (DRFS) and progression free survival (PFS) in locally advanced pancreatic cancer (LAPC) patients. Fifty-two LAPC patients (median age: 61 years; range: 35-85) with available FDG PET/CT before and after RT (2-6 months, median: 2) were enrolled from May 2005 to June 2015. The predictive value of the percentage variation of mean/maximum standard uptake value (ΔSUVmean/max), metabolic tumour volume (ΔMTV) and total lesion glycolysis (ΔTLG), estimated considering different uptake thresholds (40-50-60%), was investigated between pre- and post-RT PET. The percentage difference between gastrointestinal cancer-associated antigen (ΔGICA) levels measured at the time of PET was also considered. Log-rank test and Cox regression analysis were performed to assess the prognostic value of considered PET-derived parameters on survival outcomes. The median follow-up was 13 months (range: 4-130). At univariate analysis, ΔTLG50 showed borderline significance in predicting OS (P = 0.05) and was the most significant parameter correlated to LRFS and PFS (P = 0.001). Median LRFS was 4 and 33 months if ΔTLG50 was below or above 35% respectively (P = 0.0003); similarly, median PFS was 3 vs 6 months (P = 0.0009). No significant correlation was found between PET-derived parameters and DRFS, while the ΔGICA was the only borderline significant prognostic value for this endpoint (P = 0.05). PET-derived parameters predict survival in LAPC patients; in particular, ΔTLG50 is the strongest predictor. The combination of these biochemical and imaging biomarkers is promising in identifying patients at higher risk of earlier relapse.

Identifiants

pubmed: 31365502
doi: 10.1097/MNM.0000000000001065
doi:

Substances chimiques

Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1072-1080

Auteurs

Elena Incerti (E)

Unit of Nuclear Medicine.

Emilia G Vanoli (EG)

Unit of Nuclear Medicine.

Sara Broggi (S)

Unit of Medical Physics.

Calogero Gumina (C)

Unit of Radiotherapy.

Paolo Passoni (P)

Unit of Radiotherapy.

Najla Slim (N)

Unit of Radiotherapy.

Claudio Fiorino (C)

Unit of Medical Physics.

Michele Reni (M)

Department of Oncology, IRCCS San Raffaele Scientific Institute.

Paola Mapelli (P)

Unit of Nuclear Medicine.
Vita-Salute San Raffaele University, Milan, Italy.

Mauro Cattaneo (M)

Unit of Medical Physics.

Silvia Zanon (S)

Department of Oncology, IRCCS San Raffaele Scientific Institute.

Riccardo Calandrino (R)

Unit of Medical Physics.

Luigi Gianolli (L)

Unit of Nuclear Medicine.

Nadia Di Muzio (N)

Unit of Radiotherapy.

Maria Picchio (M)

Unit of Nuclear Medicine.
Vita-Salute San Raffaele University, Milan, Italy.

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Classifications MeSH