[68Ga]Ga-DOTATATE-avid tumor volume, uptake and inflammation-based index correlate with survival in neuroendocrine tumor patients treated with [177Lu]Lu-DOTATATE PRRT.
Am J Nucl Med Mol Imaging
; 12(5): 152-162, 2022.
Article
en En
| MEDLINE
| ID: mdl-36419585
To meet the increasing demand for PRRT in the treatment of patients with inoperable/disseminated well-differentiated neuroendocrine tumors (NETs) and to guide optimization strategies, adequate and accessible predictive tools that allow to stratify patients who will benefit from treatment from those who will not are becoming indispensable. Previously, we have investigated the role of baseline [68Ga]Ga-DOTATOC PET tumor uptake and volumetric parameters and a blood-derived inflammatory biomarker, the inflammation-based index (IBI), for outcome prediction in NET patients treated with [90Y]Y-DOTATOC. In this retrospective study in 83 NET patients treated with [177Lu]Lu-DOTATATE in a routine clinical setting, we aimed to evaluate the generalizability of our previous findings to [177Lu]Lu-DOTATATE treatment combined with a pre-therapeutic [68Ga]Ga-DOTATATE PET. A semi-automatic customized SUV threshold-based approach was used for tumor delineation. The previously identified SUVmean cut-off of 13.7 for better survival could not be applied to this patient cohort. Instead, a more optimal cut-off could be identified: an SUVmean lower or equal than 11.2 was associated with worse overall survival (OS) (hazard ratio (HR) 2.28; P = 0.008). Also in line with our previous study, a [68Ga]Ga-DOTATATE-avid tumor volume (TV) higher than 672 mL and an elevated baseline IBI were correlated with worse OS (HR 3.13 (P = 0.0001) and HR 2.00 (P = 0.034), respectively). Multivariate analysis confirmed independent associations between OS and baseline IBI (P = 0.032), SUVmean (P = 0.027) and [68Ga]Ga-DOTATATE-avid TV (P = 0.001). Taking baseline IBI, [68Ga]Ga-DOTATATE-avid TV and [68Ga]Ga-DOTATATE uptake into account may help guide PRRT treatment decisions.
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1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Am J Nucl Med Mol Imaging
Año:
2022
Tipo del documento:
Article
País de afiliación:
Bélgica
Pais de publicación:
Estados Unidos