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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

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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.

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References

  1. Beyer T, Antoch G, Blodgett T, Freudenberg LF, Akhurst T, Mueller S. Dual-modality PET/CT imaging: the effect of respiratory motion on combined image quality in clinical oncology. Eur J Nucl Med Mol Imaging. 2003;30:588–96. https://doi.org/10.1007/s00259-002-1097-6.

    Article  PubMed  Google Scholar 

  2. Liu C, Pierce LA 2nd, Alessio AM, Kinahan PE. The impact of respiratory motion on tumor quantification and delineation in static PET/CT imaging. Phys Med Biol. 2009;54:7345–62. https://doi.org/10.1088/0031-9155/54/24/007.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Torizuka T, Tanizaki Y, Kanno T, Futatsubashi M, Yoshikawa E, Okada H, et al. Single 20-second acquisition of deep-inspiration breath-hold PET/CT: clinical feasibility for lung cancer. J Nucl Med. 2009;50:1579–84. https://doi.org/10.2967/jnumed.109.064246.

    Article  PubMed  Google Scholar 

  4. Sarikaya I, Yeung HW, Erdi Y, Larson SM. Respiratory artefact causing malpositioning of liver dome lesion in right lower lung. Clin Nucl Med. 2003;28:943–4. https://doi.org/10.1097/01.rlu.0000093095.28642.2b.

    Article  PubMed  Google Scholar 

  5. Nehmeh SA, Erdi YE, Ling CC, Rosenzweig KE, Schoder H, Larson SM, et al. Effect of respiratory gating on quantifying PET images of lung cancer. J Nucl Med. 2002;43:876–81.

    PubMed  Google Scholar 

  6. Kawano T, Ohtake E, Inoue T. Deep-inspiration breath-hold PET/CT of lung cancer: maximum standardized uptake value analysis of 108 patients. J Nucl Med. 2008;49:1223–31. https://doi.org/10.2967/jnumed.107.049296.

    Article  PubMed  Google Scholar 

  7. Nehmeh SA, Erdi YE. Respiratory motion in positron emission tomography/computed tomography: a review. Semin Nucl Med. 2008;38:167–76. https://doi.org/10.1053/j.semnuclmed.2008.01.002.

    Article  PubMed  Google Scholar 

  8. Werner MK, Parker JA, Kolodny GM, English JR, Palmer MR. Respiratory gating enhances imaging of pulmonary nodules and measurement of tracer uptake in FDG PET/CT. AJR Am J Roentgenol. 2009;193:1640–5. https://doi.org/10.2214/ajr.09.2516.

    Article  PubMed  Google Scholar 

  9. Kesner AL, Chung JH, Lind KE, Kwak JJ, Lynch D, Burckhardt D, et al. Validation of Software Gating: a practical technology for respiratory motion correction in PET. Radiology. 2016;281:239–48. https://doi.org/10.1148/radiol.2016152105.

    Article  PubMed  Google Scholar 

  10. Schleyer PJ, O’Doherty MJ, Barrington SF, Marsden PK. Retrospective data-driven respiratory gating for PET/CT. Phys Med Biol. 2009;54:1935–50. https://doi.org/10.1088/0031-9155/54/7/005.

    Article  PubMed  Google Scholar 

  11. Walker MD, Bradley KM, McGowan DR. Evaluation of principal component analysis-based data-driven respiratory gating for positron emission tomography. Br J Radiol. 2018;91:20170793. https://doi.org/10.1259/bjr.20170793.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Walker MD, Morgan AJ, Bradley KM, McGowan DR. Evaluation of data-driven respiratory gating waveforms for clinical PET imaging. EJNMMI Res. 2019;9:1. https://doi.org/10.1186/s13550-018-0470-9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Thielemans K, Schleyer P, Marsden PK, Manjeshwar RM, Wollenweber SD, Ganin A. Comparison of different methods for data-driven respiratory gating of PET data. 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC); 2013. p. 1–4.

  14. Walker MD, Morgan AJ, Bradley KM, McGowan DR. Data-driven respiratory gating outperforms device-based gating for clinical (18)F-FDG PET/CT. J Nucl Med. 2020;61:1678–83. https://doi.org/10.2967/jnumed.120.242248.

    Article  CAS  PubMed  Google Scholar 

  15. van der Vos CS, Grootjans W, Osborne DR, Meeuwis AP, Hamill JJ, Acuff S, et al. Improving the spatial alignment in PET/CT using amplitude-based respiration-gated PET and respiration-triggered CT. J Nucl Med. 2015;56:1817–22. https://doi.org/10.2967/jnumed.115.163055.

    Article  PubMed  Google Scholar 

  16. Van Der Gucht A, Serrano B, Hugonnet F, Paulmier B, Garnier N, Faraggi M. Impact of a new respiratory amplitude-based gating technique in evaluation of upper abdominal PET lesions. Eur J Radiol. 2014;83:509–15. https://doi.org/10.1016/j.ejrad.2013.11.010.

    Article  Google Scholar 

  17. Büther F, Ernst I, Hamill J, Eich HT, Schober O, Schäfers M, et al. External radioactive markers for PET data-driven respiratory gating in positron emission tomography. Eur J Nucl Med Mol Imaging. 2013;40:602–14. https://doi.org/10.1007/s00259-012-2313-7.

    Article  CAS  PubMed  Google Scholar 

  18. Osman MM, Cohade C, Nakamoto Y, Wahl RL. Respiratory motion artifacts on PET emission images obtained using CT attenuation correction on PET-CT. Eur J Nucl Med Mol Imaging. 2003;30:603–6. https://doi.org/10.1007/s00259-002-1024-x.

    Article  PubMed  Google Scholar 

  19. Osman MM, Cohade C, Nakamoto Y, Marshall LT, Leal JP, Wahl RL. Clinically significant inaccurate localization of lesions with PET/CT: frequency in 300 patients. J Nucl Med. 2003;44:240–3.

    PubMed  Google Scholar 

  20. Nehmeh SA, Erdi YE, Pan T, Yorke E, Mageras GS, Rosenzweig KE, et al. Quantitation of respiratory motion during 4D-PET/CT acquisition. Med Phys. 2004;31:1333–8. https://doi.org/10.1118/1.1739671.

    Article  CAS  PubMed  Google Scholar 

  21. Wolthaus JW, van Herk M, Muller SH, Belderbos JS, Lebesque JV, de Bois JA, et al. Fusion of respiration-correlated PET and CT scans: correlated lung tumour motion in anatomical and functional scans. Phys Med Biol. 2005;50:1569–83. https://doi.org/10.1088/0031-9155/50/7/017.

    Article  CAS  PubMed  Google Scholar 

  22. Gilman MD, Fischman AJ, Krishnasetty V, Halpern EF, Aquino SL. Optimal CT breathing protocol for combined thoracic PET/CT. AJR Am J Roentgenol. 2006;187:1357–60. https://doi.org/10.2214/ajr.05.1427.

    Article  PubMed  Google Scholar 

  23. Daouk J, Fin L, Bailly P, Meyer ME. Respiratory-gated positron emission tomography and breath-hold computed tomography coupling to reduce the influence of respiratory motion: methodology and feasibility. Acta Radiol. 2009;50:144–55. https://doi.org/10.1080/02841850802627437.

    Article  CAS  PubMed  Google Scholar 

  24. Allen-Auerbach M, Yeom K, Park J, Phelps M, Czernin J. Standard PET/CT of the chest during shallow breathing is inadequate for comprehensive staging of lung cancer. J Nucl Med. 2006;47:298–301.

    PubMed  Google Scholar 

  25. Yamaguchi T, Ueda O, Hara H, Sakai H, Kida T, Suzuki K, et al. Usefulness of a breath-holding acquisition method in PET/CT for pulmonary lesions. Ann Nucl Med. 2009;23:65–71. https://doi.org/10.1007/s12149-008-0206-4.

    Article  PubMed  Google Scholar 

  26. Nagamachi S, Wakamatsu H, Kiyohara S, Fujita S, Futami S, Arita H, et al. The reproducibility of deep-inspiration breath-hold (18)F-FDG PET/CT technique in diagnosing various cancers affected by respiratory motion. Ann Nucl Med. 2010;24:171–8. https://doi.org/10.1007/s12149-010-0352-3.

    Article  PubMed  Google Scholar 

  27. Meirelles GS, Erdi YE, Nehmeh SA, Squire OD, Larson SM, Humm JL, et al. Deep-inspiration breath-hold PET/CT: clinical findings with a new technique for detection and characterization of thoracic lesions. J Nucl Med. 2007;48:712–9. https://doi.org/10.2967/jnumed.106.038034.

    Article  PubMed  Google Scholar 

  28. Nehmeh SA, Erdi YE, Meirelles GS, Squire O, Larson SM, Humm JL, et al. Deep-inspiration breath-hold PET/CT of the thorax. J Nucl Med. 2007;48:22–6.

    PubMed  Google Scholar 

  29. van der Vos CS, Grootjans W, Meeuwis AP, Slump CH, Oyen WJ, de Geus-Oei LF, et al. Comparison of a free-breathing CT and an expiratory breath-hold CT with regard to spatial alignment of amplitude-based respiratory-gated PET and CT images. J Nucl Med Technol. 2014;42:269–73. https://doi.org/10.2967/jnmt.114.145748.

    Article  PubMed  Google Scholar 

  30. Keall PJ, Mageras GS, Balter JM, Emery RS, Forster KM, Jiang SB, et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76. Med Phys. 2006;33:3874–900. https://doi.org/10.1118/1.2349696.

    Article  PubMed  Google Scholar 

Download references

Funding

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (2018R1D1A1B07049400, Hai-Jeon Yoon; 2018R1D1A1B07045321, Bom Sahn Kim.

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Correspondence to Bom Sahn Kim.

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Kang, S.Y., Moon, B.S., Kim, H.O. et al. 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. Ann Nucl Med 35, 328–337 (2021). https://doi.org/10.1007/s12149-020-01574-4

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