Table 2.
Characteristics of PET protocol
| Study | NO. of patients | Patients with FDG-avid tumor | Correction of SUV | Blood glucose level(mg/dl) | Fasting time(h) | Uptake time(min) | Injected dose of FDG(MBq) | Type of the PET engine | Reconstruction method | Attenuation correction |
|---|---|---|---|---|---|---|---|---|---|---|
| Stahl 2003 [4] | 40 | 24 (60%) | Body weight | unknown | 6 h | 40 | 300 | Siemens | filter back-projection | ND |
| Mochiki 2004 [14] | 85 | 64 (75.2%) | Body weight | unknown | 4 h | 40 | 275–370 | SET 2400 W instrument | OS-EM | ND |
| Chung 2010 [23] | 35 | 35 (100%) | Body weight | <120 NDM‚ <200 DM | 6 h | Unknown | 4.8/kg | GPS | LOR | CT |
| Park, 2012 [16] | 82 | 82 (100%) | Body weight | ≦130 | 4 h | 60 | unknown | GPS | OSEM and 3-D RAMLA | CT |
| Lee 2012 [15] | 271 | 149 (55%) | Body mass | unknown | 6 h | 60 | 5.18 /kg | GPS | OS-EM | CT |
| Kim 2014 [24] | 97 | 50 (51.5%) | Body weight | <130 NDM‚ <200 DM | 6 h | 50–60 | 3.7–5.5/kg | Biograph Truepoint 40 | Unknown | CT |
| Lee 2015 [12] | 279 | 223 (80%) | Body mass | unknown | 4 h | 60 | 370 for APS | Lee 2015 [12] | OS-EM | CT |
| Song2015 [26] | 151 | 122 (81%) | Body weight | <150 | 6 h | 60 | 5.5/kg | DPS | OS-EM | CT |
Abbreviations: NDM no diabetes mellitus, DM diabetes mellitus, OS-EM ordered subset expectation maximization, 3-D RAMLA row action maximum likelihood algorithm, LOR response algorithm, ND not determined, APS advanced pet scanner, GPS Gemini Philip scanner, DSS discovery ste scanner