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A Retrospective Analysis of the Correlation between Functional Imaging and Clinical Outcomes in Grade 3 Neuroendocrine Tumors (NETs G3).
- Source :
-
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2021 Dec 20; Vol. 11 (12). Date of Electronic Publication: 2021 Dec 20. - Publication Year :
- 2021
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Abstract
- Grade 3 (G3) neuroendocrine tumors (NETs) are a novel category among digestive neuroendocrine neoplasms, characterized by Ki-67 >20% and a well-differentiated morphology, presenting high intra-tumor heterogeneity. We aimed to explore the role of dual-tracer PET imaging ( <superscript>68</superscript> Gallium (Ga)-DOTATOC and <superscript>18</superscript> Fluorodeoxyglucose (FDG)) as overall survival (OS) predictor in NET G3 patients. We performed a retrospective analysis in NET G3 patients treated at our institution between 2003 and 2021. Accordingly, 30 NET G3 patients were analyzed. <superscript>68</superscript> Ga-DOTA-TOC and <superscript>18</superscript> F-FDG uptake were assessed by tumor/non-tumor (T-nonT) ratio. We reported a slightly better OS for patients with ≥75% concordance between <superscript>68</superscript> Ga-DOTA-TOC and <superscript>18</superscript> F-FDG PET/CT ( p = 0.42). Among patients with discordant functional imaging, we reported a better 5-y OS rate for patients with a prevalent <superscript>68</superscript> Ga-DOTATOC vs. <superscript>18</superscript> F-FDG PET/CT ( p = 0.016). In positive <superscript>18</superscript> F-FDG PET/CT cases, we reported a better OS for <4 vs. ≥4 T/non-T ratio ( p = 0.021). Among upfront-NET G3 patients with concordant exams, 5-y OS rate was 83.3% (95% CI: 27.3-97.5). Among patients with discordant exams, 5-y OS rate was 81.3% (52.5-93.5), 100% for those with prevalent receptor expression, and 50% (11.1-80.4) for those with prevalent <superscript>18</superscript> F-FDG uptake. Our findings suggest that dual-tracer PET/CT can be considered as a predictor of patient outcome, able to stratify NET G3 patients with poorer prognosis.
Details
- Language :
- English
- ISSN :
- 2075-4418
- Volume :
- 11
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Diagnostics (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 34943637
- Full Text :
- https://doi.org/10.3390/diagnostics11122401