Literature DB >> 33449303

The impact of data-driven respiratory gating in clinical F-18 FDG PET/CT: comparison of free breathing and deep-expiration breath-hold CT protocol.

Seo Young Kang1, Byung Seok Moon1, Hye Ok Kim1, Hai-Jeon Yoon1, Bom Sahn Kim2.   

Abstract

BACKGROUND: Respiratory motion can diminish PET image quality and lead to inaccurate lesion quantifications. Data-driven gating (DDG) was recently introduced as an effective respiratory gating technique for PET. In the current study, we investigated the clinical impact of DDG on respiratory movement in 18F-FDG PET/CT.
METHOD: PET list-mode data were collected for each subject and DDG software was utilized for extracting respiratory waveforms. PET images was reconstructed using Q.clear and Q.clear + DDG, respectively. We evaluated SUVmax, SUVmean, the coefficient of variance (CoV), metabolic tumor volume (MTV), and tumor heterogeneity using the area under the curve of cumulative SUV histogram (AUC-CSH). Metabolic parameter changes were compared between each reconstruction method. The Deep-Expiration Breath Hold (DEBH) protocol was introduced for CT scans to correct spatial misalignment between PET and CT and compared with conventional free breathing. The DEBH and free breathing (FB) protocol comparison was made in a separate matching cohort using propensity core matching rather than the same patient.
RESULTS: Total 147 PET/CT scans with excessive respiratory movements were used to study DDG-mediated correction. After DDG application, SUVmax (P < 0.0001; 8.15 ± 4.77 vs. 9.03 ± 5.02) and SUVmean (P < 0.0001; 4.91 ± 2.44 vs. 5.49 ± 2.68) of lung and upper abdomen lesions increased, while MTV significantly decreased (P < 0.0001; 7.07 ± 15.46 vs. 6.58 ± 15.14). In addition, the percent change of SUVs was greater in lower lung lesions compared to upper lobe lesions. Likewise, the MTV reduction was significantly greater in lower lobe lesions. No significant difference dependent on location was observed in liver lesions. DEBH-mediated CT breathing correction did not make a significant difference in lesion metabolic parameters compared to conventional free breathing.
CONCLUSIONS: These results suggest that DDG correction enables more corrected quantification from respiratory movements for lesions located in the lung and upper abdomen. Therefore, we suggest that DDG is worth using as a standard protocol during 18F-FDG PET/CT imaging.

Entities:  

Keywords:  18F-FDG PET/CT; Data-driven respiratory gating; Deep-expiration breath-hold CT; Free breathing CT; Respiratory movement

Mesh:

Substances:

Year:  2021        PMID: 33449303     DOI: 10.1007/s12149-020-01574-4

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


  28 in total

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2.  Deep-inspiration breath-hold PET/CT of lung cancer: maximum standardized uptake value analysis of 108 patients.

Authors:  Tsuyoshi Kawano; Eiji Ohtake; Tomio Inoue
Journal:  J Nucl Med       Date:  2008-07-16       Impact factor: 10.057

Review 3.  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

4.  Validation of Software Gating: A Practical Technology for Respiratory Motion Correction in PET.

Authors:  Adam Leon Kesner; Jonathan Hero Chung; Kimberly Erin Lind; Jennifer Jihyang Kwak; David Lynch; Darrell Burckhardt; Phillip Jahhyung Koo
Journal:  Radiology       Date:  2016-03-30       Impact factor: 11.105

5.  Respiratory gating enhances imaging of pulmonary nodules and measurement of tracer uptake in FDG PET/CT.

Authors:  Matthias K Werner; J Anthony Parker; Gerald M Kolodny; Jeffrey R English; Matthew R Palmer
Journal:  AJR Am J Roentgenol       Date:  2009-12       Impact factor: 3.959

6.  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

7.  Respiratory artefact causing malpositioning of liver dome lesion in right lower lung.

Authors:  Ismet Sarikaya; Henry W D Yeung; Yusuf Erdi; Steven M Larson
Journal:  Clin Nucl Med       Date:  2003-11       Impact factor: 7.794

8.  Effect of respiratory gating on quantifying PET images of lung cancer.

Authors:  Sadek A Nehmeh; Yusuf E Erdi; Clifton C Ling; Kenneth E Rosenzweig; Heiko Schoder; Steve M Larson; Homer A Macapinlac; Olivia D Squire; John L Humm
Journal:  J Nucl Med       Date:  2002-07       Impact factor: 10.057

9.  Retrospective data-driven respiratory gating for PET/CT.

Authors:  Paul J Schleyer; Michael J O'Doherty; Sally F Barrington; Paul K Marsden
Journal:  Phys Med Biol       Date:  2009-03-05       Impact factor: 3.609

10.  Single 20-second acquisition of deep-inspiration breath-hold PET/CT: clinical feasibility for lung cancer.

Authors:  Tatsuo Torizuka; Yasuo Tanizaki; Toshihiko Kanno; Masami Futatsubashi; Etsuji Yoshikawa; Hiroyuki Okada; Yasuomi Ouchi
Journal:  J Nucl Med       Date:  2009-09-16       Impact factor: 10.057

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  4 in total

1.  Prospective data-driven respiratory gating of [68Ga]Ga-DOTATOC PET/CT.

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Journal:  EJNMMI Res       Date:  2021-03-31       Impact factor: 3.138

2.  Respiratory motion correction in F-18-FDG PET/CT impacts lymph node assessment in lung cancer patients.

Authors:  Benjamin Noto; Wolfgang Roll; Laura Zinken; Robert Rischen; Laura Kerschke; Georg Evers; Walter Heindel; Michael Schäfers; Florian Büther
Journal:  EJNMMI Res       Date:  2022-09-15       Impact factor: 3.434

3.  New PET technologies - embracing progress and pushing the limits.

Authors:  Nicolas Aide; Charline Lasnon; Adam Kesner; Craig S Levin; Irene Buvat; Andrei Iagaru; Ken Hermann; Ramsey D Badawi; Simon R Cherry; Kevin M Bradley; Daniel R McGowan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-06-03       Impact factor: 9.236

4.  Prediction of EGFR Mutation Status Based on 18F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma.

Authors:  Guotao Yin; Ziyang Wang; Yingchao Song; Xiaofeng Li; Yiwen Chen; Lei Zhu; Qian Su; Dong Dai; Wengui Xu
Journal:  Front Oncol       Date:  2021-07-22       Impact factor: 6.244

  4 in total

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