Skip to main content
Log in

Total-body 18F-FDG PET/CT scan in oncology patients: how fast could it be?

  • Original Article
  • Published:
European Journal of Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

Abstract

Purpose

The aim of the study was to determine a faster PET acquisition protocol for a total-body PET/CT scanner by assessing the image quality that is equivalent to a conventional digital PET/CT scanner from both a phantom and a clinical perspective.

Methods

A phantom study using a NEMA/IEC NU-2 body phantom was first performed in both a total-body PET/CT (uEXPLORER) and a routine digital PET/CT (uMI 780), with a hot sphere to background activity concentration ratio of 4:1. The contrast recovery coefficient (CRC), background variability (BV), and recovery coefficient (RC: RCmax and RCmean) were assessed in the uEXPLORER with different scanning durations and reconstruction protocols, which were compared to those acquired from the uMI 780 with clinical acquisition settings. The coefficient of variation (COV) of the uMI 780 with clinical settings was calculated and used as a threshold reference to determine the optimized scanning duration and reconstruction protocol for the uEXPLORER. The obtained protocol from the phantom study was subsequently tested and validated in 30 oncology patients. Images acquired from the uMI 780 with 2–3 min per bed position were referred as G780 and served as the reference for comparison. All PET raw data from the uEXPLORER were reconstructed using the data-cutting technique to simulate a 30-s, 45-s, or 60-s acquisition duration, respectively. The iterations were 2 and 3 for the uEXPLORER, referred as G30s_3i, G45s_2i, G45s_3i, G60s_2i, and G60s_3i, respectively. A 5-point Likert scale was used in the qualitative analysis to assess the image quality. The image quality was also evaluated by the liver COV, the lesion target-to-background ratio (TBR), and the lesion signal-to-noise ratio (SNR).

Results

In the phantom study, CRC, BV, RCmax, and RCmean in the uEXPLORER with different scanning durations and reconstruction iterations were compared with those in the uMI 780 with clinical settings. A minor fluctuation was found among different scanning durations. COV of the uMI 780 with clinical settings was 11.6%, and a protocol with a 30–45-s scanning duration and 2 or 3 iterations for the uEXPLORER was found to provide an equivalent image quality as the uMI 780. An almost perfect agreement was shown with a kappa value of 0.875. The qualitative score of the G30s_3i in the uEXPLORER was inferior to the G780 reference (p = 0.001); however, the scores of other groups in the uEXPLORER with a 45-s and above acquisition time were higher than the G780 in the uMI 780. In quantitative analysis, the delay time between the two scans in the two orders was not significantly different. There was no significant difference of the liver COV between the G780 and G30s_3i (p = 0.162). A total of 33 lesions were analyzed in the clinical patient study. There was no significant difference in lesion TBR between the reference G780 and the G45s_2i obtained from the uEXPLORER (p = 0.072), while the latter showed a higher lesion SNR value compared to that in uMI 780 with clinical settings (p < 0.001).

Conclusions

This study showed that a fast PET protocol with a 30–45-s acquisition time in the total-body uEXPLORER PET/CT can provide an equivalent image quality as the conventional digital uMI 780 PET/CT with longer clinical acquisition settings.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Boellaard R, Delgado-Bolton R, Oyen WJ, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42(2):328–54.

    Article  CAS  Google Scholar 

  2. Fletcher JW, Djulbegovic B, Soares HP, et al. Recommendations on the use of 18F-FDG PET in oncology. J Nucl Med. 2008;49(3):480–508.

    Article  Google Scholar 

  3. Avril NE, Weber WA. Monitoring response to treatment in patients utilizing PET. Radiol Clin N Am. 2005;43(1):189–204.

    Article  Google Scholar 

  4. Juweid ME, Stroobants S, Hoekstra OS, et al. Use of positron emission tomography for response assessment of lymphoma: consensus of the Imaging Subcommittee of International Harmonization Project in Lymphoma. J Clin Oncol. 2007;25(5):571–8.

    Article  Google Scholar 

  5. Volpi S, Ali JM, et al. The role of positron emission tomography in the diagnosis, staging and response assessment of non-small cell lung cancer. Ann Transl Med. 2018;6(5):95.

    Article  Google Scholar 

  6. Weber WA. Use of PET for monitoring cancer therapy and for predicting outcome. J Nucl Med. 2005;46(6):983–95.

    CAS  PubMed  Google Scholar 

  7. Czernin J, Allen-Auerbach M, Nathanson D, et al. PET/CT in oncology: current status and perspectives. Curr Radiol Rep. 2013;1(3):177–90.

    Article  Google Scholar 

  8. Akamatsu G, Ishikawa K, Mitsumoto K, et al. Improvement in PET/CT image quality with a combination of point-spread function and time-of-flight in relation to reconstruction parameters. J Nucl Med. 2012;53(11):1716–22.

    Article  Google Scholar 

  9. Tong S, Alessio AM, Kinahan PE. Noise and signal properties in PSF-based fully 3D PET image reconstruction: an experimental evaluation. Phys Med Biol. 2010;55:1453–73.

    Article  CAS  Google Scholar 

  10. Surti S, Karp JS, Popescu LM, et al. Investigation of time-of-flight benefit for fully 3-D PET. IEEE Trans Med Imaging. 2006;25:529–38.

    Article  Google Scholar 

  11. Buzhan P, Dolgoshein B, Filatov LA, et al. Silicon photomultiplier and its possible applications. Nucl Instrum Methods Phys Res, Sect A. 2003;504(1):48–52.

    Article  CAS  Google Scholar 

  12. Rausch I, Ruiz A, Valverde-Pascual I, Cal-González J, et al. Performance evaluation of the Vereos PET/CT system according to the NEMA NU2-2012 standard. J Nucl Med. 2019;60(4):561–7.

    Article  Google Scholar 

  13. Hsu DFC, Ilan E, Peterson WT, et al. Studies of a next-generation silicon-photomultiplier–based time-of-flight PET/CT system. J Nucl Med. 2017;58:1511–8.

    Article  CAS  Google Scholar 

  14. Van Sluis J, De Jong J, Schaar J, et al. Performance characteristics of the digital Biograph Vision PET/CT system. J Nucl Med. 2019;60:1031–6.

    Article  Google Scholar 

  15. Chen S, Hu P, Gu Y, et al. Performance characteristics of the digital uMI550 PET/CT system according to the NEMA NU2-2018 standard. EJNMMI Phys. 2020;7(1):43.

    Article  Google Scholar 

  16. Surti S, Karp JS. Impact of detector design on imaging performance of a long axial field of-view, whole-body PET scanner. Phys Med Biol. 2015;60:5343–58.

    Article  CAS  Google Scholar 

  17. Spencer BA, Berg E, Schmall JP, et al. Performance evaluation of the uEXPLORER total-body PET/CT scanner based on NEMA NU 2-2018 with additional tests to characterize long axial field-of-view PET scanners. J Nucl Med. 2020 ;jnumed.120.250597.

  18. Cherry SR, Jones T, Karp JS, et al. Total-body PET: maximizing sensitivity to create new opportunities for clinical research and patient care. J Nucl Med. 2018;59:3–12.

    Article  CAS  Google Scholar 

  19. Tan H, Sui X, Yin H, et al. Total-body PET/CT using half-dose FDG and compared with conventional PET/CT using full-dose FDG in lung cancer [published online ahead of print, 2020 Nov 27]. Eur J Nucl Med Mol Imaging 2020.

  20. Panetta JV, Daube-Witherspoon ME, Karp JS. Validation of phantom-based harmonization for patient harmonization. Med Phys. 2017;44(7):3534–44.

    Article  CAS  Google Scholar 

  21. Gnesin S, Kieffer C, Zeimpekis K, et al. Phantom-based image quality assessment of clinical 18F-FDG protocols in digital PET/CT and comparison to conventional PMT-based PET/CT. EJNMMI Phys. 2020;7(1):1.

    Article  Google Scholar 

  22. NEMA. Standards publication NU 2-2018–performance measurements of positron emission tomographs (PET). Rosslyn: National Electrical Manufacturers Association; 2018.

    Google Scholar 

  23. Fukukita H, Senda M, Terauchi T, et al. Japanese guideline for the oncology FDG-PET/CT data acquisition protocol: synopsis of version 1.0. Ann Nucl Med. 2010;24(4):325–34.

    Article  Google Scholar 

  24. Boellaard R, Willemsen A T, Arends B, et al. EARL procedure for assessing PET/CT system specific patient FDG activity preparations for quantitative FDG PET/CT studies. 2013; p. 1–3.

  25. website. EE. Available from: http://earl.eanm.org/cms/website.php?id=/en/projects/fdg_pet_ct_accreditation/accreditation_specifications.htm

  26. Koopman D, van Osch JA, Jager PL, et al. Technical note: how to determine the FDG activity for tumour PET imaging that satisfies European guidelines. EJNMMI Phys. 2016;3(1):22.

    Article  Google Scholar 

  27. Badawi RD, Shi H, Hu P, et al. First human imaging studies with the EXPLORER total-body PET scanner. J Nucl Med. 2019;60(3):299–303.

    Article  CAS  Google Scholar 

  28. Zhang YQ, Hu PC, Wu RZ, et al. The image quality, lesion detectability, and acquisition time of 18F-FDG total-body PET/CT in oncological patients. Eur J Nucl Med Mol Imaging. 2020;47(11):2507–15.

    Article  Google Scholar 

  29. de Groot EH, Post N, Boellaard R, et al. Optimized dose regimen for whole-body FDG-PET imaging. EJNMMI Res. 2013;3(1):63.

    Article  Google Scholar 

  30. Sánchez-Jurado R, Devis M, Sanz R, Aguilar JE, et al. Whole-body PET/CT studies with lowered 18F-FDG doses: the influence of body mass index in dose reduction. J Nucl Med Technol. 2014;42(1):62–7.

    Article  Google Scholar 

Download references

Availability of data and materials

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Funding

This study is supported by Shanghai Municipal Key Clinical Specialty Project (shslczdzk03401), Clinical Research Plan of SHDC (SHDC2020CR3079B), Science and Technology Committee of Shanghai Municipality (20DZ2201800), Special Fund for Clinical Research of Zhongshan Hospital, Fudan University (2020ZSLC63), and The Youth Medical Talents-Medical Imaging Practitioner Program of Shanghai “Rising Stars of Medical Talent” Youth Development Program (SHWRS[2020]_087).

Author information

Authors and Affiliations

Authors

Contributions

Pengcheng Hu and Yiqiu Zhang were involved in the study design, data analysis, and manuscript preparation. Hui Tan, Chi Qi, and Ying Wang helped with data processing. Haojun Yu, Yusen Gu, and Shuguang Chen helped with image acquisition and processing. Yun Dong and Zilin Deng were responsible for the preparation of the NEMA phantom and of the acquisition. Hongcheng Shi designed the study and contributed to the data analysis and writing of the manuscript. All authors discussed the results and commented on the manuscript.

Corresponding author

Correspondence to Hongcheng Shi.

Ethics declarations

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Oncology - General

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, P., Zhang, Y., Yu, H. et al. Total-body 18F-FDG PET/CT scan in oncology patients: how fast could it be?. Eur J Nucl Med Mol Imaging 48, 2384–2394 (2021). https://doi.org/10.1007/s00259-021-05357-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00259-021-05357-5

Keywords

Navigation