Prospective study of dynamic whole-body 68Ga-DOTATOC-PET/CT acquisition in patients with well-differentiated neuroendocrine tumors
To present the feasibility of a dynamic whole-body (DWB) 68 Ga-DOTATOC-PET/CT acquisition in patients with well-differentiated neuroendocrine tumors (WD-NETs). Sixty-one patients who underwent a DWB 68 Ga-DOTATOC-PET/CT for a histologically proven/highly suspected WD-NET were prospectively included....
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Veröffentlicht in: | Scientific reports 2021-03, Vol.11 (1), p.4727-4727, Article 4727 |
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Sprache: | eng |
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Zusammenfassung: | To present the feasibility of a dynamic whole-body (DWB)
68
Ga-DOTATOC-PET/CT acquisition in patients with well-differentiated neuroendocrine tumors (WD-NETs). Sixty-one patients who underwent a DWB
68
Ga-DOTATOC-PET/CT for a histologically proven/highly suspected WD-NET were prospectively included. The acquisition consisted in single-bed dynamic acquisition centered on the heart, followed by the DWB and static acquisitions. For liver, spleen and tumor (1–5/patient), Ki values (in ml/min/100 ml) were calculated according to Patlak's analysis and tumor-to-liver (TLR-Ki) and tumor-to-spleen ratios (TSR-Ki) were recorded. Ki-based parameters were compared to static parameters (SUVmax/SUVmean, TLR/TSRmean, according to liver/spleen SUVmean), in the whole-cohort and according to the PET system (analog/digital). A correlation analysis between SUVmean/Ki was performed using linear and non-linear regressions. Ki-liver was not influenced by the PET system used, unlike SUVmax/SUVmean. The regression analysis showed a non-linear relation between Ki/SUVmean (R
2
= 0.55,0.68 and 0.71 for liver, spleen and tumor uptake, respectively) and a linear relation between TLRmean/TLR-Ki (R
2
= 0.75). These results were not affected by the PET system, on the contrary of the relation between TSRmean/TSR-Ki (R
2
= 0.94 and 0.73 using linear and non-linear regressions in digital and analog systems, respectively). Our study is the first showing the feasibility of a DWB
68
Ga-DOTATOC-PET/CT acquisition in WD-NETs. |
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ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/s41598-021-83965-9 |