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A Practical Guide for the Production and PET/CT Imaging of 68Ga-DOTATATE for Neuroendocrine Tumors in Daily Clinical Practice
Published on: April 17, 2019
Prognostic value of baseline [68Ga]Ga‑DOTA‑NOC PET/CT in paediatric neuroblastoma
Qinfeng Xu1,2, Yueran Chen2, Jieping Song2
1Department of Nuclear Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Purpose:
To evaluate the prognostic value of baseline [68Ga]Ga-DOTA-NOC PET/CT-derived volumetric and uptake parameters in paediatric neuroblastoma patients.
Methods:
Sixty‑five newly diagnosed patients underwent baseline [68Ga]Ga‑DOTA‑NOC PET/CT. Primary‑tumour and whole‑body metrics were measured: SUVmax, SUVmean, SUVpeak (standardized uptake values), Gross Tumour Volume (GTV), and Total Lesion NOC (TL‑NOC). Cox regression evaluated predictors of progression‑free survival (PFS) and overall survival (OS).
Results:
Over a median 30‑month follow‑up (range 10-51), 20 progressed and 11 died. High‑risk cases (n = 38) had higher uptake and volumes than non high‑risk (n = 27): primary‑tumour and whole‑body SUVmax (p = 0.006 and 0.001); primary‑tumour SUVpeak (p = 0.013); whole‑body TL‑NOC(p = 0.001) and GTV (p = 0.016). On multivariable Cox analysis, primary‑tumour SUVmax (HR = 1.07, 95% CI: 1.02-1.12, P = 0.005) and SUVpeak (HR = 1.06, 95% CI: 1.01-1.11, P = 0.025), as well as whole‑body TL‑NOC (per 100 SUV × cm3; HR = 1.03, 95% CI: 1.01-1.05, P = 0.013), remained independently associated with PFS, whereas whole‑body TL‑NOC (per 100 SUV × cm3; HR = 1.07, 95% CI: 1.03-1.10, P = 0.001), whole‑body GTV (per 50 cm3; HR = 1.08, 95% CI: 1.01-1.16, P = 0.028) and primary‑tumour TL‑NOC (per 100 SUV × cm3; HR = 1.08, 95% CI: 1.01-1.15, P = 0.026) were independent predictors of OS. A whole‑body TL‑NOC > 1357.05 SUV × cm3 identified patients with significantly worse PFS and OS.
Conclusion:
Parameters derived from [68Ga]Ga‑DOTA‑NOC PET/CT, especially whole‑body TL‑NOC, are independent predictors of PFS and OS in neuroblastoma, supporting their use for risk stratification.
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