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

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

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

48 Citations (Scopus)
5 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)3242-3250
JournalEuropean radiology
Volume24
Issue number12
DOIs
Publication statusPublished - 2014

Keywords

  • n/a OA procedure

Fingerprint

Dive into the research topics of 'Amplitude-based optimal respiratory gating in positron emission tomography in patients with primary lung cancer'. Together they form a unique fingerprint.

Cite this