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Abstract
Our objective was to compare the respective value of 68Ga-DOTATOC and 18F-DOPA PET/CT for initial staging or presurgical work-up of patients with small-intestine neuroendocrine tumors (SiNETs). Methods: This was a retrospective, multicenter, noninterventional investigation involving 53 non–surgically treated SiNET patients who underwent both 68Ga-DOTATOC and 18F-DOPA PET/CT within a 6-mo interval without surgical intervention or therapeutic change between the 2 PET/CT studies. Percentage detection rate was calculated according to per-region and per-lesion analyses. Sensitivity for primary tumor detection was assessed in 37 surgically treated patients, taking surgical results (76 SiNETs) as the diagnostic gold standard. Results: 68Ga-DOTATOC PET/CT and 18F-DOPA PET/CT individually identified at least 1 primary SiNET in 92% (34/37) of the patients. Intestinal tumor multifocality was confirmed by histology in 8 patients. 68Ga-DOTATOC and 18F-DOPA PET/CT were concordantly positive for tumor multifocality in 5 patients, discordantly positive in 2 patients, and concordantly negative in 1 patient. The detection rate for subdiaphragmatic nodal metastases on per-region–based analysis was 91% and 98% for 68Ga-DOTATOC and 18F-DOPA PET/CT, respectively (P = 0.18). 18F-DOPA PET/CT detected a higher number of abnormal subdiaphragmatic nodes (P = 0.009). Regarding mesenteric nodes only, 18F-DOPA PET/CT detected more positive regions (P = 0.005) and nodal lesions (P = 0.003) than 68Ga-DOTATOC PET/CT, including nodes at the origin of mesenteric vessels. For detection of distant metastases, 68Ga-DOTATOC and 18F-DOPA PET/CT performed equally well on a per-region–based analysis. As compared with 68Ga-DOTATOC, 18F-DOPA PET/CT detected more hepatic (P < 0.001), peritoneal (P < 0.001), and lung metastases (P < 0.001). Conclusion: 18F-DOPA PET/CT detected more lesions than 68Ga-DOTATOC PET/CT in the studied patients. The respective roles of the two should be discussed in terms of disease staging and treatment selection.
Footnotes
Published online May. 19, 2022.
- © 2022 by the Society of Nuclear Medicine and Molecular Imaging.
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