Literature DB >> 25186392

Assessing and accounting for the impact of respiratory motion on FDG uptake and viable volume for liver lesions in free-breathing PET using respiration-suspended PET images as reference.

Guang Li1, C Ross Schmidtlein1, Irene A Burger2, Carole A Ridge3, Stephen B Solomon3, John L Humm1.   

Abstract

PURPOSE: To assess and account for the impact of respiratory motion on the variability of activity and volume determination of liver tumor in positron emission tomography (PET) through a comparison between free-breathing (FB) and respiration-suspended (RS) PET images.
METHODS: As part of a PET/computed tomography (CT) guided percutaneous liver ablation procedure performed on a PET/CT scanner, a patient's breathing is suspended on a ventilator, allowing the acquisition of a near-motionless PET and CT reference images of the liver. In this study, baseline RS and FB PET/CT images of 20 patients undergoing thermal ablation were acquired. The RS PET provides near-motionless reference in a human study, and thereby allows a quantitative evaluation of the effect of respiratory motion on PET images obtained under FB conditions. Two methods were applied to calculate tumor activity and volume: (1) threshold-based segmentation (TBS), estimating the total lesion glycolysis (TLG) and the segmented volume and (2) histogram-based estimation (HBE), yielding the background-subtracted lesion (BSL) activity and associated volume. The TBS method employs 50% of the maximum standardized uptake value (SUVmax) as the threshold for tumors with SUVmax≥2× SUVliver-bkg, and tumor activity above this threshold yields TLG50%. The HBE method determines local PET background based on a Gaussian fit of the low SUV peak in a SUV-volume histogram, which is generated within a user-defined and optimized volume of interest containing both local background and lesion uptakes. Voxels with PET intensity above the fitted background were considered to have originated from the tumor and used to calculate the BSL activity and its associated lesion volume.
RESULTS: Respiratory motion caused SUVmax to decrease from RS to FB by -15%±11% (p=0.01). Using TBS method, there was also a decrease in SUVmean (-18%±9%, p=0.01), but an increase in TLG50% (18%±36%) and in the segmented volume (47%±52%, p=0.01) from RS to FB PET images. The background uptake in normal liver was stable, 1%±9%. In contrast, using the HBE method, the differences in both BSL activity and BSL volume from RS to FB were -8%±10% (p=0.005) and 0%±16% (p=0.94), respectively.
CONCLUSIONS: This is the first time that almost motion-free PET images of the human liver were acquired and compared to free-breathing PET. The BSL method's results are more consistent, for the calculation of both tumor activity and volume in RS and FB PET images, than those using conventional TBS. This suggests that the BSL method might be less sensitive to motion blurring and provides an improved estimation of tumor activity and volume in the presence of respiratory motion.

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Year:  2014        PMID: 25186392      PMCID: PMC4137872          DOI: 10.1118/1.4892602

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  29 in total

1.  Model-based image reconstruction for four-dimensional PET.

Authors:  Tianfang Li; Brian Thorndyke; Eduard Schreibmann; Yong Yang; Lei Xing
Journal:  Med Phys       Date:  2006-05       Impact factor: 4.071

2.  A motion-incorporated reconstruction method for gated PET studies.

Authors:  Feng Qiao; Tinsu Pan; John W Clark; Osama R Mawlawi
Journal:  Phys Med Biol       Date:  2006-07-20       Impact factor: 3.609

3.  Deep-inspiration breath-hold PET/CT of the thorax.

Authors:  Sadek A Nehmeh; Yusuf E Erdi; Gustavo S P Meirelles; Olivia Squire; Steven M Larson; John L Humm; Heiko Schöder
Journal:  J Nucl Med       Date:  2007-01       Impact factor: 10.057

4.  Region of interest motion compensation for PET image reconstruction.

Authors:  Feng Qiao; Tinsu Pan; John W Clark; Osama R Mawlawi
Journal:  Phys Med Biol       Date:  2007-04-25       Impact factor: 3.609

Review 5.  Respiratory motion in positron emission tomography/computed tomography: a review.

Authors:  Sadek A Nehmeh; Yusuf E Erdi
Journal:  Semin Nucl Med       Date:  2008-05       Impact factor: 4.446

6.  Evaluation of the combined effects of target size, respiratory motion and background activity on 3D and 4D PET/CT images.

Authors:  Sang-June Park; Dan Ionascu; Joseph Killoran; Marcelo Mamede; Victor H Gerbaudo; Lee Chin; Ross Berbeco
Journal:  Phys Med Biol       Date:  2008-06-19       Impact factor: 3.609

7.  Retrospective analysis of artifacts in four-dimensional CT images of 50 abdominal and thoracic radiotherapy patients.

Authors:  Tokihiro Yamamoto; Ulrich Langner; Billy W Loo; John Shen; Paul J Keall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-09-25       Impact factor: 7.038

8.  An iterative technique to segment PET lesions using a Monte Carlo based mathematical model.

Authors:  S A Nehmeh; H El-Zeftawy; C Greco; J Schwartz; Y E Erdi; A Kirov; C R Schmidtlein; A B Gyau; S M Larson; J L Humm
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

9.  The impact of respiratory motion on tumor quantification and delineation in static PET/CT imaging.

Authors:  Chi Liu; Larry A Pierce; Adam M Alessio; Paul E Kinahan
Journal:  Phys Med Biol       Date:  2009-11-20       Impact factor: 3.609

Review 10.  Advances in 4D medical imaging and 4D radiation therapy.

Authors:  G Li; D Citrin; K Camphausen; B Mueller; C Burman; B Mychalczak; R W Miller; Y Song
Journal:  Technol Cancer Res Treat       Date:  2008-02
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  6 in total

Review 1.  Interventional Molecular Imaging.

Authors:  Stephen B Solomon; Francois Cornelis
Journal:  J Nucl Med       Date:  2016-02-11       Impact factor: 10.057

2.  Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.

Authors:  Mathieu Hatt; John A Lee; Charles R Schmidtlein; Issam El Naqa; Curtis Caldwell; Elisabetta De Bernardi; Wei Lu; Shiva Das; Xavier Geets; Vincent Gregoire; Robert Jeraj; Michael P MacManus; Osama R Mawlawi; Ursula Nestle; Andrei B Pugachev; Heiko Schöder; Tony Shepherd; Emiliano Spezi; Dimitris Visvikis; Habib Zaidi; Assen S Kirov
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

3.  Comparison of the clinical performance of upper abdominal PET/DCE-MRI with and without concurrent respiratory motion correction (MoCo).

Authors:  Onofrio A Catalano; Lale Umutlu; Niccolo Fuin; Matthew Louis Hibert; Michele Scipioni; Stefano Pedemonte; Mark Vangel; Andreea Maria Catana; Ken Herrmann; Felix Nensa; David Groshar; Umar Mahmood; Bruce R Rosen; Ciprian Catana
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-07-11       Impact factor: 9.236

4.  A Novel Respiratory Motion Perturbation Model Adaptable to Patient Breathing Irregularities.

Authors:  Amy Yuan; Jie Wei; Carl P Gaebler; Hailiang Huang; Devin Olek; Guang Li
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-09-03       Impact factor: 7.038

5.  Impact of the Noise Penalty Factor on Quantification in Bayesian Penalized Likelihood (Q.Clear) Reconstructions of 68Ga-PSMA PET/CT Scans.

Authors:  Sjoerd Rijnsdorp; Mark J Roef; Albert J Arends
Journal:  Diagnostics (Basel)       Date:  2021-05-08

6.  Correcting for respiratory motion in liver PET/MRI: preliminary evaluation of the utility of bellows and navigated hepatobiliary phase imaging.

Authors:  Thomas A Hope; Emily F Verdin; Emily K Bergsland; Michael A Ohliger; Carlos U Corvera; Eric K Nakakura
Journal:  EJNMMI Phys       Date:  2015-09-18
  6 in total

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