Literature DB >> 19225943

The effect of 18F-FDG-PET/CT respiratory gating on detected metabolic activity in lung lesions.

Andrea Lupi1, Marta Zaroccolo, Matteo Salgarello, Veronica Malfatti, Pierluigi Zanco.   

Abstract

OBJECTIVE: Respiratory gated PET/CT (positron emission tomography/computed tomography) of the lung is expected to increase the accuracy of quantitative determinations in lesional activities, regardless of the gating method used; reasonably, respiratory gating should increase standard uptake value (SUV; and possibly decrease lesional size), on the basis of the reduction of the "smearing effect." However, literature data are very limited, particularly for in vivo studies. The objective of this article is to test the SUV variations in a large group of lung lesion studies.
METHODS: A group of 26 consecutive positive studies (21 men, 5 women, age 36-84, mean 68), performed on patients referred to our institution for known or suspected lung cancer, are examined. All studies were performed both with conventional PET/CT total body scan and with Real-Time Position Management (RPM) triggered selective gated study of the thorax. Four studies were considered technically unsatisfactory and were discarded; the remaining 22 studies are the object of this work. Max lesional SUVs were evaluated in both settings by semi-automated algorithms; for the gated studies, both values of the bin that showed more relevant variations from the clinical routinary study ("best bin") and an average value that was calculated over all bins were determined. Results were compared on a one-to-one basis.
RESULTS: In conventional, SUV showed a mean +/- standard deviation (SD) value of 9.2 +/- 6.9 (range 0.9-26). In the averaged gated studies, the mean +/- SD value was 13.4 +/- 11.7 (range 1.4-47); in the "best bin" dataset the mean +/- SD was 14.9 +/- 12.9, ranging from 1.6 to 53.1. In general, the use of respiratory trigger induced rather variable but overall consistent increases in SUV. If the percentage variations in the average trigger dataset are considered, there is an average increase of +60%, SD +/- 97 (P < 0.05). Similar results are found in the "best bin" dataset, the average percentage increase in SUV values being +77.2% (SD +/- 04.6).
CONCLUSIONS: In lung cancer, triggering procedures increase the signal to noise ratio. The increase in SUV determined by gating is very variable, but generally relevant. This could lead to an SUV values cut-off revision, and may have an impact on smaller lesions detection.

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Year:  2009        PMID: 19225943     DOI: 10.1007/s12149-008-0225-1

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  26 in total

1.  Comparative evaluation of CT-based and respiratory-gated PET/CT-based planning target volume (PTV) in the definition of radiation treatment planning in lung cancer: preliminary results.

Authors:  Luca Guerra; Sofia Meregalli; Alessandra Zorz; Rita Niespolo; Elena De Ponti; Federica Elisei; Sabrina Morzenti; Sarah Brenna; Andrea Crespi; Gianstefano Gardani; Cristina Messa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-11-01       Impact factor: 9.236

2.  Real-time FDG PET guidance during biopsies and radiofrequency ablation using multimodality fusion with electromagnetic navigation.

Authors:  Aradhana M Venkatesan; Samuel Kadoury; Nadine Abi-Jaoudeh; Elliot B Levy; Roberto Maass-Moreno; Jochen Krücker; Sandeep Dalal; Sheng Xu; Neil Glossop; Bradford J Wood
Journal:  Radiology       Date:  2011-07-06       Impact factor: 11.105

3.  4D numerical observer for lesion detection in respiratory-gated PET.

Authors:  Auranuch Lorsakul; Quanzheng Li; Cathryn M Trott; Christopher Hoog; Yoann Petibon; Jinsong Ouyang; Andrew F Laine; Georges El Fakhri
Journal:  Med Phys       Date:  2014-10       Impact factor: 4.071

4.  Motion detection and amelioration in a dedicated cardiac solid-state CZT SPECT device.

Authors:  John A Kennedy; H William Strauss
Journal:  Med Biol Eng Comput       Date:  2016-07-14       Impact factor: 2.602

5.  Added diagnostic value of respiratory-gated 4D 18F-FDG PET/CT in the detection of liver lesions: a multicenter study.

Authors:  Cinzia Crivellaro; Elena De Ponti; Federica Elisei; Sabrina Morzenti; Maria Picchio; Valentino Bettinardi; Annibale Versari; Federica Fioroni; Miroslaw Dziuk; Konrad Tkaczewski; Renée Ahond-Vionnet; Guillaume Nodari; Sergio Todde; Claudio Landoni; Luca Guerra
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-08-19       Impact factor: 9.236

6.  Utility of respiratory-gated small-animal PET/CT in the chronologic evaluation of an orthotopic lung cancer transplantation mouse model.

Authors:  Tamaki Otani; Hideki Otsuka; Kazuya Kondo; Hiromitsu Takizawa; Motoi Nagata; Mina Kishida; Hirokazu Miyoshi
Journal:  Radiol Phys Technol       Date:  2015-04-29

Review 7.  Role of ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography in patients affected by differentiated thyroid carcinoma, high thyroglobulin level, and negative ¹³¹I scan: review of the literature.

Authors:  Francesco Bertagna; Giorgio Biasiotto; Emanuela Orlando; Giovanni Bosio; Raffaele Giubbini
Journal:  Jpn J Radiol       Date:  2010-11-27       Impact factor: 2.374

8.  Clinical respiratory motion correction software (reconstruct, register and averaged-RRA), for 18F-FDG-PET-CT: phantom validation, practical implications and patient evaluation.

Authors:  Anne-Charlotte Bouyeure-Petit; Mathieu Chastan; Agathe Edet-Sanson; Stephanie Becker; Sebastien Thureau; Estelle Houivet; Pierre Vera; Sebastien Hapdey
Journal:  Br J Radiol       Date:  2017-01-03       Impact factor: 3.039

9.  Detection of respiratory tumour motion using intrinsic list mode-driven gating in positron emission tomography.

Authors:  Florian Büther; Iris Ernst; Mohammad Dawood; Peter Kraxner; Michael Schäfers; Otmar Schober; Klaus P Schäfers
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-07-06       Impact factor: 9.236

10.  Application of partial volume effect correction and 4D PET in the quantification of FDG avid lung lesions.

Authors:  Ali Salavati; Samuel Borofsky; Teo K Boon-Keng; Sina Houshmand; Benjapa Khiewvan; Babak Saboury; Ion Codreanu; Drew A Torigian; Habib Zaidi; Abass Alavi
Journal:  Mol Imaging Biol       Date:  2015-02       Impact factor: 3.488

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