PT  - JOURNAL ARTICLE
AU  - Soriano Castrejón Angel
AU  - Ana García Vicente
AU  - Beatriz González García
AU  - M Prado Talavera Rubio
AU  - Alberto León Martín
AU  - Victor Poblete García
AU  - Jasir Alí Mendoza Narváez
AU  - E. Mitsuro Becerra Nakayo
AU  - Azahara Palomar Muñoz
AU  - John Patrick Pilkington Woll
TI  - 18F-FDG PET-CT respiratory gating in characterization of pulmonary lesions
DP  - 2011 May 01
TA  - Journal of Nuclear Medicine
PG  - 2083--2083
VI  - 52
IP  - supplement 1
4099  - http://jnm.snmjournals.org/content/52/supplement_1/2083.short
4100  - http://jnm.snmjournals.org/content/52/supplement_1/2083.full
SO  - J Nucl Med2011 May 01; 52
AB  - 2083 Objectives To evaluate the effect of 18F-FDG 4D PET-CT study in the detection of pulmonary lesions. Methods 57 pulmonary lesions were prospectively assessed in 37 patients (26 males and 11 females), mean age 66.3 y. 29/37 patients had neoplasic background. All patients underwent PET-CT (3D) total body scan and 4D PET-CT (synchronised with respiratory movement) thorax studies. SUVmax was obtained for each lesion in both studies. For the 4D studies, we selected the SUVmax in the respiratory period with the highest uptake (4D best bin) and the average value over all bins (average gated). SUVmax percentage difference between 3D and 4D PET-CT and the relation of this value with the diameter and location of the lesions were calculated. Statistical parameters were calculated for 3D and 4D PET-CT. Results 54/57 lesions showed an increase of SUVmax in the 4D study with respect to 3D. The mean SUVmax was 3.1 in the 3D study. 4D PET-CT studies showed a mean SUVmax value of 4.5 for the best bin and 3.9 for the averaged gated study. The SUVmax percentage difference mean between 3D and 4D studies (best bin and averaged gated) were 72.9% and 48.8% respectively. We found that, the smaller the lesion, the greater the SUVmax percentage difference (p<0.005). However, no statistical differences were observed depending on the location of the lesions. Final diagnosis showed that 37 lesions were malignant. The sensitivity, specificity, positive predictive value and negative predictive value for 3D and 4D best bin were: 37.8 %, 95%, 93% and 45 % and 70.3, 70 %, 81.2% and 56 % respectively. Conclusions The 4D PET-CT study permitted a better characterization of malignant lung lesions compared with the standard PET-CT. Research Support Investigation Uni