Skip to main content
Log in

Prognostic value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography at diagnosis in untreated multiple myeloma patients: a systematic review and meta-analysis

  • Original Article
  • Published:
Clinical and Experimental Medicine Aims and scope Submit manuscript

Abstract

Multiple myeloma is a clonal B-lymphocyte tumor of terminally differentiated plasma cells. 18F-FDG PET/CT can provide valuable data for the diagnosis, restaging, and evaluate prognosis of multiple myeloma (MM). This meta-analysis aimed to evaluate the prognostic value of pre-treatment 18F-FDG PET/CT at diagnosis in MM patients. Related researches came from Embase, PubMed, and Cochrane Library databases through a systematic search, and the last one was updated on April 26, 2021. Cochran Q test and I-squared statistics were used to test for heterogeneity among the studies analyzed. The fixed model and random model were used to combine results when appropriate. Stata 12.0 was used to perform statistical analysis, and p < 0.05 was considered statistically significant. A total of 16 articles with 2589 patients were included in this study. Our results indicated PET/CT has an excellent prognostic role in MM, that higher SUVmax, more FL and EMD were associated with poor OS and PFS. SUVmax: OS (HR 1.89, 95% CI 1.47–2.44), PFS (HR 1.34, 95% CI 1.18–1.51); Fl: OS (HR 2.65, 95% CI 1.83–3.79), PFS (HR 1.61, 95% CI 1.40–1.86); EMD: OS (HR 2.11, 95% CI 1.41–3.16), PFS (HR 2.18, 95% CI 1.69–2.81). Furthermore, similar results were observed in most subgroup analyzes. Conclusion Pre-treatment 18F-FDG PET/CT examination has prognostic value for myeloma patients and has guiding significance for clinical treatment.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

18F-FDG PET/CT:

18F-fluorodeoxyglucose positron emission tomography/computed tomography

CI:

Confidence Intervals

EMD:

Extramedullary disease

FL:

Focal lesions

HR:

Hazard Ratio

ISS:

International Staging System

MM:

Multiple myeloma

MRI:

Magnetic resonance imaging

NA:

Not available

NOS:

Newcastle–Ottawa Quality Assessment Scale

OS:

Over survival

PFS:

Progress-free survival

Pro:

Prospective study

Retro:

Retrospective study

SUVmax :

Standardized uptake value maximum

WBLDCT:

Whole-body low-dose CT

References

  1. Pulte D, Jansen L, Castro FA, et al. Trends in survival of multiple myeloma patients in Germany and the United States in the first decade of the 21st century. Br J Haematol. 2015;171(2):189–96.

    Article  PubMed  Google Scholar 

  2. Luo SQ, Xiong DH, Li J, et al. C1orf35 contributes to tumorigenesis by activating c-MYC transcription in multiple myeloma. Oncogene. 2020;39(16):3354–66.

    Article  CAS  PubMed  Google Scholar 

  3. Kumar SK, Rajkumar SV, Dispenzieri A, et al. Improved survival in multiple myeloma and the impact of novel therapies. Blood. 2008;111(5):2516–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Jung SH, Jo JC, Song GY, et al. Frontline therapy for newly diagnosed patients with multiple myeloma. Blood Res. 2020;55(S1):S37–42.

    Article  PubMed  Google Scholar 

  5. Sonneveld P, Avet-Loiseau H, Lonial S, et al. Treatment of multiple myeloma with high-risk cytogenetics: a consensus of the international myeloma working group. Blood. 2016;127(24):2955–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Kristinsson SY, Minter AR, Korde N, Tan E, Landgren O. Bone disease in multiple myeloma and precursor disease: novel diagnostic approaches and implications on clinical management. Expert Rev Mol Diagn. 2011;11(6):593–603.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Barwick T, Orton M, Koh DM, et al. Repeatability and reproducibility of apparent diffusion coefficient and fat fraction measurement of focal myeloma lesions on whole body magnetic resonance imaging. Br J Radiol. 2021;94(1120):20200682.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Zamagni E, Tacchetti P, Cavo M. Imaging in multiple myeloma: How? When? Blood. 2019;133(7):644–51.

    Article  CAS  PubMed  Google Scholar 

  9. Baffour FI, Glazebrook KN, Kumar SK, Broski SM. Role of imaging in multiple myeloma. Am J Hematol. 2020;95(8):966–77.

    Article  PubMed  Google Scholar 

  10. Moreau P, Attal M, Caillot D, et al. Prospective Evaluation of Magnetic Resonance imaging and [(18)F]fluorodeoxyglucose positron emission tomography-computed tomography at diagnosis and before maintenance therapy in symptomatic patients with multiple myeloma included in the ifm/dfci 2009 trial: results of the IMAJEM study. J Clin Oncol. 2017;35(25):2911–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Bartel TB, Haessler J, Brown TL, et al. F18-fluorodeoxyglucose positron emission tomography in the context of other imaging techniques and prognostic factors in multiple myeloma. Blood. 2009;114(10):2068–76.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Abe Y, Narita K, Kobayashi H, et al. Pretreatment (18)F-FDG PET/CT combined with quantification of clonal circulating plasma cells as a potential risk model in patients with newly diagnosed multiple myeloma. Eur J Nucl Med Mol Imaging. 2019;46(6):1325–33.

    Article  PubMed  Google Scholar 

  13. Takeoka Y, Sakatoku K, Miura A, et al. Prognostic effect of low subcutaneous adipose tissue on survival outcome in patients with multiple myeloma. Clin Lymphoma Myeloma Leuk. 2016;16(8):434–41.

    Article  PubMed  Google Scholar 

  14. Batsukh K, Lee SE, Min GJ, et al. Distinct clinical outcomes between paramedullary and extramedullary lesions in newly diagnosed multiple myeloma. Immune Netw. 2017;17(4):250–60.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Dimitrakopoulou-Strauss A, Hoffmann M, Bergner R, Uppenkamp M, Haberkorn U, Strauss LG. Prediction of progression-free survival in patients with multiple myeloma following anthracycline-based chemotherapy based on dynamic FDG-PET. Clin Nucl Med. 2009;34(9):576–84.

    Article  PubMed  Google Scholar 

  16. Fonti R, Pace L, Cerchione C, et al. 18F-FDG PET/CT, 99mTc-MIBI, and MRI in the prediction of outcome of patients with multiple myeloma: a comparative study. Clin Nucl Med. 2015;40(4):303–8.

    Article  PubMed  Google Scholar 

  17. Zamagni E, Nanni C, Mancuso K, et al. PET/CT Improves the definition of complete response and allows to detect otherwise unidentifiable skeletal progression in multiple myeloma. Clin Cancer Res. 2015;21(19):4384–90.

    Article  CAS  PubMed  Google Scholar 

  18. Patriarca F, Carobolante F, Zamagni E, et al. The role of positron emission tomography with 18F-fluorodeoxyglucose integrated with computed tomography in the evaluation of patients with multiple myeloma undergoing allogeneic stem cell transplantation. Biol Blood Marrow Transplant. 2015;21(6):1068–73.

    Article  PubMed  Google Scholar 

  19. Tu H, He Y, Huang T, et al. Predictive value of (18) F-FDG PET/CT scanning in combination with clinical parameters in patients with newly diagnosed multiple myeloma. Eur J Haematol. 2018;100(2):189–97.

    Article  CAS  PubMed  Google Scholar 

  20. Deng S, Zhang B, Zhou Y, et al. The role of (18)F-FDG PET/CT in multiple myeloma staging according to IMPeTUs: comparison of the durie-salmon plus and other staging systems. Contrast Media Mol Imaging. 2018;2018:4198673.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009;6(7):1000100.

    Article  Google Scholar 

  22. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25(9):603–5.

    Article  PubMed  Google Scholar 

  23. Tierney JF, Stewart LA, Ghersi D, Burdett S, Sydes MR. Practical methods for incorporating summary time-to-event data into meta-analysis. Trials. 2007;8:16.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Shi L, Lin L. The trim-and-fill method for publication bias: practical guidelines and recommendations based on a large database of meta-analyses. Medicine (Baltimore). 2019;98(23):15987.

    Article  Google Scholar 

  25. Zamagni E, Patriarca F, Nanni C, et al. Prognostic relevance of 18-F FDG PET/CT in newly diagnosed multiple myeloma patients treated with up-front autologous transplantation. Blood. 2011;118(23):5989–95.

    Article  CAS  PubMed  Google Scholar 

  26. McDonald JE, Kessler MM, Gardner MW, et al. Assessment of Total Lesion Glycolysis by (18)F FDG PET/CT Significantly Improves Prognostic Value of GEP and ISS in Myeloma. Clin Cancer Res. 2017;23(8):1981–7.

    Article  CAS  PubMed  Google Scholar 

  27. Aljama MA, Sidiqi MH, Buadi FK, et al. Utility and prognostic value of (18) F-FDG positron emission tomography-computed tomography scans in patients with newly diagnosed multiple myeloma. Am J Hematol. 2018;93(12):1518–23.

    Article  CAS  PubMed  Google Scholar 

  28. Davies FE, Rosenthal A, Rasche L, et al. Treatment to suppression of focal lesions on positron emission tomography-computed tomography is a therapeutic goal in newly diagnosed multiple myeloma. Haematologica. 2018;103(6):1047–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Jung SH, Kwon SY, Min JJ, et al. (18)F-FDG PET/CT is useful for determining survival outcomes of patients with multiple myeloma classified as stage II and III with the Revised International Staging System. Eur J Nucl Med Mol Imaging. 2019;46(1):107–15.

    Article  PubMed  Google Scholar 

  30. Moon SH, Choi WH, Yoo IR, et al. Prognostic value of baseline (18)F-Fluorodeoxyglucose PET/CT in patients with multiple myeloma: a multicenter cohort study. Korean J Radiol. 2018;19(3):481–8.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Alonso R, Cedena MT, Gomez-Grande A, et al. Imaging and bone marrow assessments improve minimal residual disease prediction in multiple myeloma. Am J Hematol. 2019;94(8):853–61.

    Article  PubMed  Google Scholar 

  32. Sachpekidis C, Merz M, Kopp-Schneider A, et al. Quantitative dynamic (18)F-fluorodeoxyglucose positron emission tomography/computed tomography before autologous stem cell transplantation predicts survival in multiple myeloma. Haematologica. 2019;104(9):e420–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Fonti R, Pellegrino S, Catalano L, Pane F, Del Vecchio S, Pace L. Visual and volumetric parameters by 18F-FDG-PET/CT: a head to head comparison for the prediction of outcome in patients with multiple myeloma. Ann Hematol. 2020;99(1):127–35.

    Article  CAS  PubMed  Google Scholar 

  34. Michaud-Robert, A.V., E. Zamagni, T. Carlier, et al. Glucose metabolism quantified by SUVmax on Baseline FDG-PET/CT predicts survival in newly diagnosed multiple myeloma patients: combined harmonized analysis of two prospective phase III trials. Cancers (Basel).2020; 12(9): 2532

  35. Terao T, Machida Y, Tsushima T, et al. Pre-treatment metabolic tumour volume and total lesion glycolysis are superior to conventional positron-emission tomography/computed tomography variables for outcome prediction in patients with newly diagnosed multiple myeloma in clinical practice. Br J Haematol. 2020;191(2):223–30.

    Article  CAS  PubMed  Google Scholar 

  36. Haznedar R, Aki SZ, Akdemir OU, et al. Value of 18F-fluorodeoxyglucose uptake in positron emission tomography/computed tomography in predicting survival in multiple myeloma. Eur J Nucl Med Mol Imaging. 2011;38(6):1046–53.

    Article  CAS  PubMed  Google Scholar 

  37. Laubach J, Garderet L, Mahindra A, et al. Management of relapsed multiple myeloma: recommendations of the international Myeloma working group. Leukemia. 2016;30(5):1005–17.

    Article  CAS  PubMed  Google Scholar 

  38. Bredella MA, Steinbach L, Caputo G, Segall G, Hawkins R. Value of FDG PET in the assessment of patients with multiple myeloma. AJR Am J Roentgenol. 2005;184(4):1199–204.

    Article  PubMed  Google Scholar 

  39. Nanni C, Zamagni E, Farsad M, et al. Role of 18F-FDG PET/CT in the assessment of bone involvement in newly diagnosed multiple myeloma: preliminary results. Eur J Nucl Med Mol Imaging. 2006;33(5):525–31.

    Article  PubMed  Google Scholar 

  40. Zamagni E, Nanni C, Patriarca F, et al. A prospective comparison of 18F-fluorodeoxyglucose positron emission tomography-computed tomography, magnetic resonance imaging and whole-body planar radiographs in the assessment of bone disease in newly diagnosed multiple myeloma. Haematologica. 2007;92(1):50–5.

    Article  PubMed  Google Scholar 

  41. Cerci JJ, Pracchia LF, Linardi CC, et al. 18F-FDG PET after 2 cycles of ABVD predicts event-free survival in early and advanced Hodgkin lymphoma. J Nucl Med. 2010;51(9):1337–43.

    Article  CAS  PubMed  Google Scholar 

  42. Terasawa T, Dahabreh IJ, Nihashi T. Fluorine-18-fluorodeoxyglucose positron emission tomography in response assessment before high-dose chemotherapy for lymphoma: a systematic review and meta-analysis. Oncologist. 2010;15(7):750–9.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Ailawadhi S, Parikh K, Abouzaid S, et al. Racial disparities in treatment patterns and outcomes among patients with multiple myeloma: a SEER-Medicare analysis. Blood Adv. 2019;3(20):2986–94.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China: [Grant Number 81670179]; Major Subject of Science and Technology of Anhui Province: [Grant Number 201903a07020030].

Author information

Authors and Affiliations

Authors

Contributions

QL and LHH performed data collection and analyzed the data. ZMZ approved the final manuscript as submitted. QL, LHH, MLX, AC, WWZ, YM and ZMZ wrote the manuscript.

Corresponding author

Correspondence to Zhimin Zhai.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethics approval

This article does not contain any studies with human participants performed by any of the authors.

Additional information

Publisher's Note

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

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 1031 kb)

Supplementary file2 (DOC 31 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Q., Hu, L., Charwudzi, A. et al. Prognostic value of 18F-fluorodeoxyglucose positron emission tomography/computed tomography at diagnosis in untreated multiple myeloma patients: a systematic review and meta-analysis. Clin Exp Med 23, 31–43 (2023). https://doi.org/10.1007/s10238-021-00775-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10238-021-00775-z

Keywords

Navigation