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Amplitude-based optimal respiratory gating in positron emission tomography in patients with primary lung cancer

  • Oncology
  • Published:
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Abstract

Objectives

Respiratory motion during PET imaging introduces quantitative and diagnostic inaccuracies, which may result in non-optimal patient management. This study investigated the effects of respiratory gating on image quantification using an amplitude-based optimal respiratory gating (ORG) algorithm.

Methods

Whole body FDG-PET/CT was performed in 66 lung cancer patients. The respiratory signal was obtained using a pressure sensor integrated in an elastic belt placed around the patient’s thorax. ORG images were reconstructed with 50 %, 35 %, and 20 % of acquired PET data (duty cycle). Lesions were grouped into anatomical locations. Differences in lesion volume between ORG and non-gated images, and mean FDG-uptake (SUVmean) were calculated.

Results

Lesions in the middle and lower lobes demonstrated a significant SUVmean increase for all duty cycles and volume decrease for duty cycles of 35 % and 20 %. Significant increase in SUVmean and decrease in volume for lesions in the upper lobes were observed for a 20 % duty cycle. The SUVmean increase for central lesions was significant for all duty cycles, whereas a significant volume decrease was observed for a duty cycle of 20 %.

Conclusions

This study implies that ORG could influence clinical PET imaging with respect to response monitoring and radiotherapy planning.

Key Points

• Quantifying lesion volume and uptake in PET is important for patient management

• Respiratory motion artefacts introduce inaccuracies in quantification of PET images

• Amplitude-based optimal respiratory gating maintains image quality through selection of duty cycle

• The effect of respiratory gating on lesion quantification depends on anatomical location

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Acknowledgments

The scientific guarantor of this publication is dr. E.P. Visser, Department of Radiology and Nuclear Medicine, Radboud university medical center, Nijmegen, The Netherlands. The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. This study has received funding by Siemens Healthcare, The Hague, The Netherlands. This study was supported by an educational grant from Siemens Healthcare, The Hague, The Netherlands. The authors would like to thank James Hamill (Siemens) for scientific input. No complex statistical methods were necessary for this paper. Institutional Review Board approval was obtained. Written informed consent was waived by the Institutional Review Board.

Methodology

Retrospective, experimental, performed at one institution.

Author information

Authors and Affiliations

  1. Department of Radiology and Nuclear Medicine, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands

    Willem Grootjans, Lioe-Fee de Geus-Oei, Antoi P. W. Meeuwis, Charlotte S. van der Vos, Martin Gotthardt, Wim J. G. Oyen & Eric P. Visser

  2. MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands

    Lioe-Fee de Geus-Oei

Authors
  1. Willem Grootjans
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  2. Lioe-Fee de Geus-Oei
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  3. Antoi P. W. Meeuwis
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  4. Charlotte S. van der Vos
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  6. Wim J. G. Oyen
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  7. Eric P. Visser
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Corresponding author

Correspondence to Willem Grootjans.

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Grootjans, W., de Geus-Oei, LF., Meeuwis, A.P.W. et al. Amplitude-based optimal respiratory gating in positron emission tomography in patients with primary lung cancer. Eur Radiol 24, 3242–3250 (2014). https://doi.org/10.1007/s00330-014-3362-z

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  • DOI: https://doi.org/10.1007/s00330-014-3362-z

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