PURPOSE: Patient respiratory motion can cause image artifacts in positron emission tomography (PET) from PET/computed tomography (CT) and change the quantification of PET for thoracic patients. In this study, respiration-averaged CT (ACT) was used to remove the artifacts, and the changes in standardized uptake value (SUV) and gross tumor volume (GTV) were quantified. METHODS AND MATERIALS: We incorporated the ACT acquisition in a PET/CT session for 216 lung patients, generating two PET/CT data sets for each patient. The first data set (PET(HCT)/HCT) contained the clinical PET/CT in which PET was attenuation corrected with a helical CT (HCT). The second data set (PET(ACT)/ACT) contained the PET/CT in which PET was corrected with ACT. We quantified the differences between the two datasets in image alignment, maximum SUV (SUV(max)), and GTV contours. RESULTS: Of the patients, 68% demonstrated respiratory artifacts in the PET(HCT), and for all patients the artifact was removed or reduced in the corresponding PET(ACT). The impact of respiration artifact was the worst for lesions less than 50 cm(3) and located below the dome of the diaphragm. For lesions in this group, the mean SUV(max) difference, GTV volume change, shift in GTV centroid location, and concordance index were 21%, 154%, 2.4 mm, and 0.61, respectively. CONCLUSION: This study benchmarked the differences between the PET data with and without artifacts. It is important to pay attention to the potential existence of these artifacts during GTV contouring, as such artifacts may increase the uncertainties in the lesion volume and the centroid location.
PURPOSE:Patient respiratory motion can cause image artifacts in positron emission tomography (PET) from PET/computed tomography (CT) and change the quantification of PET for thoracic patients. In this study, respiration-averaged CT (ACT) was used to remove the artifacts, and the changes in standardized uptake value (SUV) and gross tumor volume (GTV) were quantified. METHODS AND MATERIALS: We incorporated the ACT acquisition in a PET/CT session for 216 lung patients, generating two PET/CT data sets for each patient. The first data set (PET(HCT)/HCT) contained the clinical PET/CT in which PET was attenuation corrected with a helical CT (HCT). The second data set (PET(ACT)/ACT) contained the PET/CT in which PET was corrected with ACT. We quantified the differences between the two datasets in image alignment, maximum SUV (SUV(max)), and GTV contours. RESULTS: Of the patients, 68% demonstrated respiratory artifacts in the PET(HCT), and for all patients the artifact was removed or reduced in the corresponding PET(ACT). The impact of respiration artifact was the worst for lesions less than 50 cm(3) and located below the dome of the diaphragm. For lesions in this group, the mean SUV(max) difference, GTV volume change, shift in GTV centroid location, and concordance index were 21%, 154%, 2.4 mm, and 0.61, respectively. CONCLUSION: This study benchmarked the differences between the PET data with and without artifacts. It is important to pay attention to the potential existence of these artifacts during GTV contouring, as such artifacts may increase the uncertainties in the lesion volume and the centroid location.
Authors: Tinsu Pan; Osama Mawlawi; Sadek A Nehmeh; Yusuf E Erdi; Dershan Luo; Hui H Liu; Richard Castillo; Radhe Mohan; Zhongxing Liao; H A Macapinlac Journal: J Nucl Med Date: 2005-09 Impact factor: 10.057
Authors: Tinsu Pan; Osama Mawlawi; Dershan Luo; Hui H Liu; Pai-Chun M Chi; Martha V Mar; Gregory Gladish; Mylene Truong; Jeremy Erasmus; Zhongxing Liao; H A Macapinlac Journal: Med Phys Date: 2006-10 Impact factor: 4.071
Authors: Christian Cohade; Medhat Osman; Laura N T Marshall; Richard N T L Wahl Journal: Eur J Nucl Med Mol Imaging Date: 2003-03-01 Impact factor: 9.236
Authors: Evangelos Tzolos; Martin Lyngby Lassen; Tinsu Pan; Jacek Kwiecinski; Sebastien Cadet; Damini Dey; Marc R Dweck; David E Newby; Daniel Berman; Piotr Slomka Journal: J Nucl Cardiol Date: 2020-07-02 Impact factor: 5.952
Authors: Elena Tonkopi; Pai-Chun Melinda Chi; Osama Mawlawi; Adam C Riegel; Eric M Rohren; Homer A Macapinlac; Tinsu Pan Journal: J Appl Clin Med Phys Date: 2010-02-04 Impact factor: 2.102