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The diagnostic and prognostic role of combined [18F]FDG and [68Ga]-DOTA-peptides PET/CT in primary pulmonary carcinoids: a multicentric experience

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Abstract

Objectives

In the present retrospective multicentric study, we combined [68Ga]-DOTA-peptides and [18F]FDG-PET/CT findings aiming to investigate their capability to differentiate typical (TC) and atypical pulmonary carcinoids (AC) and their prognostic role.

Methods

From three centers, 61 patients were retrospectively included. Based on a dual tracer combination we classified PET scans as score 1, [18F]FDG- and [68Ga]-DOTA-peptides negative; score 2, [68Ga]-DOTA-peptides positive and [18F]FDG-negative; score 3, [68Ga]-DOTA-peptides negative and [18F]FDG-positive; score 4, both tracers positive. Moreover, for each patient, the ratios of SUVmax on [68Ga]-DOTA-PET to that on [18F]FDG-PET were calculated (SUVr).

Results

Thirty-five patients had a final diagnosis of TC. Twenty-two TC (57%) had positive [68Ga]-DOTA-peptides PET; instead, 21/26 (81%) AC had positive [18F]FDG-PET/CT. On dual-tracer analysis, scores 1, 2, 3 and 4 were 13%, 20%, 43% and 24% for all populations; 17%, 26%, 20% and 37% for TC; 8%, 11%, 73% and 8% for AC. Median SUVr was significantly higher in TC than AC (6.4 vs. 0.4, p = 0.011). The best value of SUVr to predict the final diagnosis was 1.05 (AUC 0.889). Relapse or progression of disease happened in 17 patients (11 affected by AC) and death in 10 cases (7 AC). AC diagnosis, positive [18F]FDG-PET, negative DOTA-PET and dual tracer score were significantly correlated with PFS (p = 0.013, p = 0.033, p = 0.029 and p = 0.019), while only AC diagnosis with OS (p = 0.022).

Conclusion

PET/CT findings had also a prognostic role in predicting PFS. Dual-tracer PET behavior may be used to predict the nature of pulmonary carcinoids and select the most appropriate management.

Key Points

• Combination of [18F]FDG and [68Ga]-DOTA-peptides PET/CT results may help to differentiate between atypical and typical lung carcinoids.

• The SUVmax ratio between [18F]FDG and [68Ga]-DOTA-peptides PET may help to differentiate between atypical and typical lung carcinoids.

• Histotype and PET/CT features have a prognostic impact on PFS.

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Abbreviations

[18F]FDG:

2-Deoxy-2-[18F]fluoro-D-glucose

[68Ga]:

Gallium68

AC:

Atypical carcinoid

CI:

Confidence intervals

HR:

Hazard ratio

L-BP SUV R:

Lesion-to-blood-pool SUV ratio

LC:

Lung carcinoid

L-L SUV R:

Lesion-to-liver SUV ratio

L-S SUV R:

Lesion-to-spleen SUV ratio

NEN:

Neuroendocrine neoplasm

OS:

Overall survival

PET/CT:

Positron emission tomography/computed tomography

PFS:

Progression-free survival

ROI:

Region of interest

SSTR:

Somatostatin receptor

SUVmax:

Maximum standardized uptake value

SUVr:

SUVratio

TC:

Typical carcinoid

References

  1. Caplin ME, Baudin E, Ferolla P, ENETS consensus conference participants et al (2015) Pulmonary neuroendocrine (carcinoid) tumors: European Neuroendocrine Tumor Society expert consensus and recommendations for best practice for typical and atypical pulmonary carcinoids. Ann Oncol 26:1604–1620. https://doi.org/10.1093/annonc/mdv041

    Article  CAS  PubMed  Google Scholar 

  2. Metovic J, Barella M, Bianchi F et al (2021) Morphologic and molecular classification of lung neuroendocrine neoplasms. Virchows Arch 478:5–19

    Article  PubMed  PubMed Central  Google Scholar 

  3. Thakur S, Florisson D, Telianidis S et al (2021) Pulmonary carcinoid tumours: a multi-centre analysis of survival and predictors of outcome following sublobar, lobar, and extended pulmonary resections. Asian Cardiovasc Thorac Ann 29:532–540

    Article  CAS  PubMed  Google Scholar 

  4. Randhawa S, Trikalinos N, Patterson GA (2021) Neuroendocrine tumors of the lung. Thorac Surg Clin 31:469–476

    Article  PubMed  Google Scholar 

  5. Froelich MF, Schnitzer ML, Holzgreve A et al (2021) Cost-effectiveness analysis of 68Ga DOTA-TATE PET/CT, 111In-pentetreotide SPECT/CT and CT for diagnostic workup of neuroendocrine tumors. Diagnostics (Basel) 11:334

    Article  CAS  PubMed  Google Scholar 

  6. Evangelista L, Ravelli I, Bignotto A, Cecchin D, Zucchetta P (2020) Ga-68 DOTA-peptides and F-18 FDG PET/CT in patients with neuroendocrine tumor: a review. Clin Imaging 67:113–116. https://doi.org/10.1016/j.clinimag.2020.05.035

    Article  PubMed  Google Scholar 

  7. Baudin E, Caplin M, Garcia-Carbonero R, ESMO Guidelines Committee et al (2021) Lung and thymic carcinoids: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 32:439–451. https://doi.org/10.1016/j.annonc.2021.01.003

    Article  CAS  PubMed  Google Scholar 

  8. Jiang Y, Hou G, Cheng W (2019) The utility of 18F-FDG and 68Ga-DOTA-peptide PET/CT in the evaluation of primary pulmonary carcinoid: a systematic review and meta-analysis. Medicine (Baltimore) 98(10)

  9. Lococo F, Cesario A, Paci M et al (2014) PET/CT assessment of neuroendocrine tumors of the lung with special emphasis on bronchial carcinoids. Tumour Biol 35:8369–8377

    Article  CAS  PubMed  Google Scholar 

  10. Treglia G, Giovanella L, Lococo F (2014) Evolving role of PET/CT with different tracers in the evaluation of pulmonary neuroendocrine tumours. Eur J Nucl Med Mol Imaging 41:853–855

    Article  PubMed  Google Scholar 

  11. Lococo F, Treglia G (2014) Which is the best strategy for diagnosing bronchial carcinoid tumours? The role of dual tracer PET/CT scan. Hell J Nucl Med 17:7–9

    PubMed  Google Scholar 

  12. Travis W, Brambilla E, Burke A et al (2015) Who classification of tumours of the lung, pleura, thymus and geart. Fourth Ed. Ed. World Health Organization classification of Tumours. Lyon IARC Press

  13. Hofman MS, Lau EWF, Hicks RJ (2015) Somatostatin receptor imaging with 68Ga DOTATATE PET/CT: clinical utility, normal patterns, pearls, and pitfalls in interpretation. Radiographics 35:500–516

    Article  PubMed  Google Scholar 

  14. Cueto A, Burigana F, Nicolini A, Lugnani F (2014) Neuroendocrine tumors of the lung: hystological classification, diagnosis, traditional and new therapeutic approaches. Curr Med Chem 21:1107–1116

    Article  CAS  PubMed  Google Scholar 

  15. Rindi G, Klersy C, Inzani F et al (2013) Grading the neuroendocrine tumors of the lung: an evidence based proposal. Endocr Relat Cancer 21:1–16

    Article  PubMed  Google Scholar 

  16. Groheux D, Quere G, Blanc E et al (2016) FDG PET-CT for solitary pulmonary nodule and lung cancer: literature review. Diagn Interv Imaging 97:1003–1017

    Article  CAS  PubMed  Google Scholar 

  17. Albano D, Gatta R, Marini M et al (2021) Role of 18F-FDG PET/CT radiomics features in the differential diagnosis of solitary pulmonary nodules: diagnostic accuracy and comparison between two different PET/CT scanners. J Clin Med 10:5064

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Kaira K, Murakami H, Endo M et al (2013) Biological correlation of 18F-FDG uptake on PET in pulmonary neuroendocrine tumors. Anticancer Res 33:4219–4228

    PubMed  Google Scholar 

  19. Song YS, Lee WW, Chung JH, Park SY, Kim YK, Kim SE (2008) Correlation between FDG uptake and glucose transporter type 1 expression in neuroendocrine tumors of the lung. Lung Cancer 61:54–60

    Article  PubMed  Google Scholar 

  20. Rufini V, Lorusso M, Inzani F et al (2022) Correlation of somatostatin receptor PET/CT imaging features and immunohistochemistry in neuroendocrine tumors of the lung: a retrospective observational study. Eur J Nucl Med Mol Imaging 49(12):4182–4193. https://doi.org/10.1007/s00259-022-05848-z

  21. Kayani I, Conry BG, Groves AM et al (2009) A comparison of 68Ga-DOTATATE and 18F-FDG PET/CT in pulmonary neuroendocrine tumors. J Nucl Med 50:1927–1932

    Article  PubMed  Google Scholar 

  22. Venkitaraman B, Karunanithi S, Kumar A, Khilnani GC, Kumar R (2014) Role of 68Ga-DOTATOC PET/CT in initial evaluation of patients with suspected bronchopulmonary carcinoid. Eur J Nucl Med Mol Imaging 41:856–864. https://doi.org/10.1007/s00259-013-2659-5

    Article  CAS  PubMed  Google Scholar 

  23. Komek H, Can C, Urakçi Z, Kepenek F (2019) Comparison of (18F)FDG PET/CT and (68Ga)DOTATATE PET/CT imaging methods in terms of detection of histological subtype and related SUVmax values in patients with pulmonary carcinoid tumors. Nucl Med Commun 40:517–524. https://doi.org/10.1097/MNM.0000000000000985

    Article  PubMed  Google Scholar 

  24. Jindal T, Kumar A, Venkitaraman B et al (2011) Evaluation of the role of [18F]FDG-PET/CT and [68Ga]DOTATOC-PET/CT in differentiating typical and atypical pulmonary carcinoids. Cancer Imaging 11:70–75. https://doi.org/10.1102/1470-7330.2011.0010

    Article  PubMed  PubMed Central  Google Scholar 

  25. Lococo F, Perotti G, Cardillo G et al (2015) Multicenter comparison of 18F-FDG and 68Ga-DOTA-peptide PET/CT for pulmonary carcinoid. Clin Nucl Med 40(3):e183–e189. https://doi.org/10.1097/RLU.0000000000000641

    Article  PubMed  Google Scholar 

  26. Lococo F, Rapicetta C, Mengoli MC et al (2019) Diagnostic performances of 68Ga-DOTATOC versus 18Fluorodeoxyglucose positron emission tomography in pulmonary carcinoid tumours and interrelationship with histological features. Interact Cardiovasc Thorac Surg 28:957–960. https://doi.org/10.1093/icvts/ivz009

    Article  PubMed  Google Scholar 

  27. Thuillier P, Liberini V, Rampado O et al (2021) Diagnostic value of conventional PET parameters and radiomic features extracted from 18F-FDG-PET/CT for histologic subtype classification and characterization of lung neuroendocrine neoplasms. Biomedicines 9:281. https://doi.org/10.3390/biomedicines9030281

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Zidan L, Iravani A, Kong G, Akhurst T, Michael M, Hicks RJ (2021) Theranostic implications of molecular imaging phenotype of well-differentiated pulmonary carcinoid based on 68Ga-DOTATATE PET/CT and 18F-FDG PET/CT. Eur J Nucl Med Mol Imaging 48:204–216

    Article  CAS  PubMed  Google Scholar 

  29. Werner RA, Bundschuh RA, Bundschuh L et al (2019) Novel structured reporting systems for theranostic radiotracers. J Nucl Med. 60:577–584. https://doi.org/10.2967/jnumed.118.223537

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Werner RA, Derlin T, Rowe SP et al (2021) High interobserver agreement for the standardized reporting system SSTR-RADS 1.0 on somatostatin receptor PET/CT. J Nucl Med 62:514–520. https://doi.org/10.2967/jnumed.120.245464

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Correspondence to Domenico Albano.

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The scientific guarantor of this publication is Dr. Domenico Albano.

Conflict of interest

Dr. Annibale Versari received honoraria from Novartis, Advanced Accelerator Applications and GE Healthcare; Dr. Angelina Filice received honoraria from Novartis and Advanced Accelerator Applications; The other authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

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No complex statistical methods were necessary for this paper.

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Written informed consent was obtained from all patients in this study.

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Institutional Review Board approval was obtained (NP 5048).

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retrospective

multicenter study

diagnostic and prognostic study

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Albano, D., Dondi, F., Bauckneht, M. et al. The diagnostic and prognostic role of combined [18F]FDG and [68Ga]-DOTA-peptides PET/CT in primary pulmonary carcinoids: a multicentric experience. Eur Radiol 33, 4167–4177 (2023). https://doi.org/10.1007/s00330-022-09326-w

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