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Research ArticlePhysics and Instrumentation

Benefit of Improved Performance with State-of-the Art Digital PET/CT for Lesion Detection in Oncology

Suleman Surti, Varsha Viswanath, Margaret E. Daube-Witherspoon, Maurizio Conti, Michael E. Casey and Joel S. Karp
Journal of Nuclear Medicine November 2020, 61 (11) 1684-1690; DOI: https://doi.org/10.2967/jnumed.120.242305
Suleman Surti
1Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania; and
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Varsha Viswanath
1Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania; and
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Margaret E. Daube-Witherspoon
1Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania; and
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Maurizio Conti
2Siemens Medical Solutions, Knoxville, Tennessee
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Michael E. Casey
2Siemens Medical Solutions, Knoxville, Tennessee
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Joel S. Karp
1Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania; and
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Abstract

The latest digital whole-body PET scanners provide a combination of higher sensitivity and improved spatial and timing resolution. We performed a lesion detectability study on two generations of Biograph PET/CT scanners, the mCT Flow and the Vision, to study the impact of improved physical performance on clinical performance. Our hypothesis was that the improved performance of the Vision would result in improved lesion detectability, allowing shorter imaging times or, equivalently, a lower injected dose. Methods: Data were acquired with the Society of Nuclear Medicine and Molecular Imaging Clinical Trials Network torso phantom combined with a 20-cm-diameter cylindrical phantom. Spherical lesions were emulated by acquiring sphere-in-air data and combining them with the phantom data to generate combined datasets with embedded lesions of known contrast. Two sphere sizes and uptakes were used: 9.89-mm-diameter spheres with 6:1 (lung) and 3:1 (cylinder) local activity concentration uptakes and 4.95-mm-diameter spheres with 9.6:1 (lung) and 4.5:1 (cylinder) local activity concentration uptakes. Standard image reconstruction was performed: an ordinary Poisson ordered-subsets expectation maximization algorithm with point-spread function and time-of-flight modeling and postreconstruction smoothing with a 5-mm gaussian filter. The Vision images were also generated without any postreconstruction smoothing. Generalized scan statistics methodology was used to estimate the area under the localized receiver-operating-characteristic curve (ALROC). Results: The higher sensitivity and improved time-of-flight performance of the Vision leads to reduced contrast in the background noise nodule distribution. Measured lesion contrast is also higher on the Vision because of its improved spatial resolution. Hence, the ALROC is noticeably higher for the Vision than for the mCT Flow. Conclusion: Improved overall performance of the Vision provides a factor of 4–6 reduction in imaging time (or injected dose) over the mCT Flow when using the ALROC metric for lesions at least 9.89 mm in diameter. Smaller lesions are barely detected in the mCT Flow, leading to even higher ALROC gains with the Vision. The improved spatial resolution of the Vision also leads to a higher measured contrast that is closer to the real uptake, implying improved quantification. Postreconstruction smoothing, however, reduces this improvement in measured contrast, thereby reducing the ALROC for small, high-uptake lesions.

  • lesion detection
  • LROC
  • spatial and timing resolution
  • sensitivity
  • digital PET

Footnotes

  • Published online Mar. 20, 2020.

  • © 2020 by the Society of Nuclear Medicine and Molecular Imaging.
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Journal of Nuclear Medicine: 61 (11)
Journal of Nuclear Medicine
Vol. 61, Issue 11
November 1, 2020
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Benefit of Improved Performance with State-of-the Art Digital PET/CT for Lesion Detection in Oncology
Suleman Surti, Varsha Viswanath, Margaret E. Daube-Witherspoon, Maurizio Conti, Michael E. Casey, Joel S. Karp
Journal of Nuclear Medicine Nov 2020, 61 (11) 1684-1690; DOI: 10.2967/jnumed.120.242305

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Benefit of Improved Performance with State-of-the Art Digital PET/CT for Lesion Detection in Oncology
Suleman Surti, Varsha Viswanath, Margaret E. Daube-Witherspoon, Maurizio Conti, Michael E. Casey, Joel S. Karp
Journal of Nuclear Medicine Nov 2020, 61 (11) 1684-1690; DOI: 10.2967/jnumed.120.242305
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Keywords

  • Lesion detection
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