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Effect of Respiratory Gating on Quantifying PET Images of Lung Cancer

Sadek A. Nehmeh, PhD1, Yusuf E. Erdi, DSc1, Clifton C. Ling, PhD1, Kenneth E. Rosenzweig, MD2, Heiko Schoder, MD3, Steve M. Larson, MD3, Homer A. Macapinlac, MD4, Olivia D. Squire, RN3 and John L. Humm, PhD1

1 Department of Medical Physics, Nuclear Medicine Service, Memorial Sloan-Kettering Cancer Center, New York, New York
2 Department of Radiation Oncology, Nuclear Medicine Service, Memorial Sloan-Kettering Cancer Center, New York, New York
3 Department of Radiology, Nuclear Medicine Service, Memorial Sloan-Kettering Cancer Center, New York, New York
4 Department of Nuclear Medicine, The University of Texas, M.D. Anderson Cancer Center, Houston, Texas



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FIGURE 1. Patient setup in gated mode.

 


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FIGURE 2. Patient coordinate system.

 


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FIGURE 3. Transaxial 18F-FDG PET image through 1 patient’s lesion in nongated mode (A) and corresponding image in gated mode acquired in first bin (B). (C) Planning target volume in nongated (light blue) and gated (pink) modes. Note that light blue extends under whole pink area. Gating, in this particular case, has mainly spared left lung tissues from high doses.

 


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FIGURE 4. Comparison between lesion volumes in nongated and gated modes. Gating shows consistency in reducing apparent lesion volume.

 


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FIGURE 5. Comparison between SUVmax in nongated and gated modes. Gating shows consistency in improving accuracy in SUVmax measurements.

 


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FIGURE 6. Maximum TLG (TLGmax) measurements in gated mode show linear dependence on those measured in nongated mode because increase in SUVmax should result in reduction in lesion volume by same factor.

 


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FIGURE 7. Maximum deviations of lesion centroids in x-, y-, and z-directions.

 





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