TY - JOUR T1 - Accurate Calculation of SUV and volume in lung cancer with a List-Mode Data-Driven Respiratory Gating Technology in PETCT: Prospective Study JF - Journal of Nuclear Medicine JO - J Nucl Med SP - 723 LP - 723 VL - 58 IS - supplement 1 AU - Chenwei Li AU - Meng Qingle AU - YouJun Sun AU - Tao Feng AU - Feng Wang Y1 - 2017/05/01 UR - http://jnm.snmjournals.org/content/58/supplement_1/723.abstract N2 - 723Objectives: A device-less respiratory gating (“self-gating” technology), which can identifying motion intensive region, respiratory motion signal will be obtained in real time. The objective of this study to validate the clinical value of self-gating technology to detect and calculate the SUV and volume accurately.Methods: Ten patients with non small cell lung cancer were recruited in this prospective study. After conventional acquisition protocol, 15-min list mode acquisition protocol with torso was performed, additional motion signals were simultaneously measured by external devices for individual patient (VSM gating). All were performed with an uMI 780 PET/CT scanner (United Imaging Healthcare, China). Static (no any gating), VSM-gating and self-gating images were reconstructed by applying 2-iteration TOF+PSF OSEM and with using 256x256 image matrix. Particularly, to have similar statistics level, static images were only produced from a total number of counts being consistent with average number of gated frame. Visual and volume based analysis was used for image interpretation, tumor uptake was expressed as the mean and maximal of standard uptake (SUVmax and SUVmean) .Results: The SUV-max of lesions with gating technology were higher than that of no gating protocol, SUVmax values from the VSM method (17.31±3.25) and the self-gating method (16.31±3.06) were higher ( p<0.001) than that of conventional protocol (13.47±2.39). No difference existed between VSM-gating to self-gating for the SUV max, the curves are interchanged in an almost exactly same peak-valley pattern. Absolute volumes did not differ between VSM and self-gating methods, the value is improved by ~30% with comparison with static results (p<0.001). And ten patients, 45 small lesion was visualized either in VSM-gating or self-gating image, whereas 10/45 small lesions was not detected in conventional protocol. The axial profile of lesion showed that blurring artifact in static image and alleviated after applying both gating technology.Conclusion: self-gating technology improved the sensitivity for the detection of small lesion in lung cancer, accurately registered and delineated the lesion, which have great potential for the biological tumor volume delineation in radiotherapy, further study is needed. Figure 1. The curves are interchanged in an almost exactly same peak-valley pattern. red curve is VSM gating signal, and blue one is self-gating one. Figure 2, static transaxial image slice(left), VSM-gating(middle), self-gating(right),which better tumor delineation was showed at the VSM and self-gating images . Figure 3, in left subfigure, static image (top), VSM-gating image (middle), and self-gating image (bottom); in right subfigure, axial profiles (directed alone yellow line in left subfigure) of lesion shown in sagittal slice of left sub-figure. The profiles are normalized to same peak value ER -