Skip to main content

Advertisement

Log in

Higher accuracy of [68 Ga]Ga-DOTA-FAPI-04 PET/CT comparing with 2-[18F]FDG PET/CT in clinical staging of NSCLC

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

Abstract

Purpose

This study aimed to explore the clinical staging performance of [68 Ga]Ga-DOTA-FAPI-04 PET/CT compared with that of 2-[18F]FDG PET/CT in non-small cell lung cancer (NSCLC) patients lesion by lesion.

Methods

A total of 134 diagnosed or suspected NSCLC patients were enrolled in the prospective study (ChiCTR2000038080); they received paired 2-[18F]FDG PET/CT and [68 Ga]Ga-DOTA-FAPI-04 PET/CT. Of these patients, the retrospective analysis of 74 NSCLC patients with pathological results was conducted from primary tumor (T) diagnosis, lymph node (N), and metastatic lesion (M) staging. The imaging characteristics of the lung nodules and suspected metastases were obtained and analyzed, and the staging performance of 2-[18F]FDG PET/CT and [68 Ga]Ga-DOTA-FAPI-04 PET/CT was compared.

Results

For T diagnosis, [68 Ga]Ga-DOTA-FAPI-04 showed better diagnostic performance than 2-[18F]FDG in 79 lung nodules of 72 patients, especially for nonsolid and small-dimension adenocarcinoma nodules. For N staging, 98 lymph nodes (LNs) with pathological results in 37 patients were analyzed. The SUVmax of [68 Ga]Ga-DOTA-FAPI-04 in the nonmetastatic LNs was significantly lower than that in the metastatic LNs. Regarding metastatic LN identification, the calculated optimum cut-off value of [68 Ga]Ga-DOTA-FAPI-04 SUVmax was 5.5, and the diagnostic accuracy using [68 Ga]Ga-DOTA-FAPI-04 and 2-[18F]FDG criteria was 94% and 30%, respectively (P < 0.001). For M staging, [68 Ga]Ga-DOTA-FAPI-04 identified more lesions than 2-[18F]FDG (257 vs. 139 lesions) in 14 patients with multiple metastases. Overall, the staging accuracy of [68 Ga]Ga-DOTA-FAPI-04 was better than that of 2-[18F]FDG in 52 patients with different pathological stages [43/52 (82.7%) vs. 27/52 (51.9%), P = 0.001].

Conclusion

Compared with 2-[18F]FDG PET/CT, [68 Ga]Ga-DOTA-FAPI-04 PET/CT demonstrated better staging performance in NSCLC patients with different pathological stages, especially those with localized disease.

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

Similar content being viewed by others

Data availability

All data relevant to the study are included in the article or uploaded as supplementary information.

Code availability

Not applicable.

References

  1. Kalluri R. The biology and function of fibroblasts in cancer. Nat Rev Cancer. 2016;16:582–98. https://doi.org/10.1038/nrc.2016.73.

    Article  CAS  PubMed  Google Scholar 

  2. Santi A, Kugeratski FG, Zanivan S. Cancer associated fibroblasts: the architects of stroma remodeling. Proteomics. 2018;18. https://doi.org/10.1002/pmic.201700167.

  3. Liao Z, Tan ZW, Zhu P, Tan NS. Cancer-associated fibroblasts in tumor microenvironment - accomplices in tumor malignancy. Cell Immunol. 2019;343:103729. https://doi.org/10.1016/j.cellimm.2017.12.003.

    Article  CAS  PubMed  Google Scholar 

  4. McCarthy JB, El-Ashry D, Turley EA. Hyaluronan, cancer-associated fibroblasts and the tumor microenvironment in malignant progression. Front Cell Dev Biol. 2018;6:48. https://doi.org/10.3389/fcell.2018.00048.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Han Y, Zhang Y, Jia T, Sun Y. Molecular mechanism underlying the tumor-promoting functions of carcinoma-associated fibroblasts. Tumour Biol. 2015;36:1385–94. https://doi.org/10.1007/s13277-015-3230-8.

    Article  CAS  PubMed  Google Scholar 

  6. Koczorowska MM, Tholen S, Bucher F, Lutz L, Kizhakkedathu JN, De Wever O, et al. Fibroblast activation protein-alpha, a stromal cell surface protease, shapes key features of cancer associated fibroblasts through proteome and degradome alterations. Mol Oncol. 2016;10:40–58. https://doi.org/10.1016/j.molonc.2015.08.001.

    Article  CAS  PubMed  Google Scholar 

  7. Garin-Chesa P, Old LJ, Rettig WJ. Cell surface glycoprotein of reactive stromal fibroblasts as a potential antibody target in human epithelial cancers. Proc Natl Acad Sci U S A. 1990;87:7235–9. https://doi.org/10.1073/pnas.87.18.7235.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Lai D, Ma L, Wang F. Fibroblast activation protein regulates tumor-associated fibroblasts and epithelial ovarian cancer cells. Int J Oncol. 2012;41:541–50. https://doi.org/10.3892/ijo.2012.1475.

    Article  CAS  PubMed  Google Scholar 

  9. Loktev A, Lindner T, Mier W, Debus J, Altmann A, Jager D, et al. A tumor-imaging method targeting cancer-associated fibroblasts. J Nucl Med. 2018;59:1423–9. https://doi.org/10.2967/jnumed.118.210435.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Lindner T, Loktev A, Altmann A, Giesel F, Kratochwil C, Debus J, et al. Development of quinoline-based theranostic ligands for the targeting of fibroblast activation protein. J Nucl Med. 2018;59:1415–22. https://doi.org/10.2967/jnumed.118.210443.

    Article  CAS  PubMed  Google Scholar 

  11. Giesel FL, Kratochwil C, Lindner T, Marschalek MM, Loktev A, Lehnert W, et al. (68)Ga-FAPI PET/CT: biodistribution and preliminary dosimetry estimate of 2 DOTA-containing FAP-targeting agents in patients with various cancers. J Nucl Med. 2019;60:386–92. https://doi.org/10.2967/jnumed.118.215913.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Kratochwil C, Flechsig P, Lindner T, Abderrahim L, Altmann A, Mier W, et al. (68)Ga-FAPI PET/CT: tracer uptake in 28 different kinds of cancer. J Nucl Med. 2019;60:801–5. https://doi.org/10.2967/jnumed.119.227967.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Rohrich M, Loktev A, Wefers AK, Altmann A, Paech D, Adeberg S, et al. IDH-wildtype glioblastomas and grade III/IV IDH-mutant gliomas show elevated tracer uptake in fibroblast activation protein-specific PET/CT. Eur J Nucl Med Mol Imaging. 2019;46:2569–80. https://doi.org/10.1007/s00259-019-04444-y.

    Article  PubMed  Google Scholar 

  14. Koerber SA, Staudinger F, Kratochwil C, Adeberg S, Haefner MF, Ungerechts G, et al. The role of (68)Ga-FAPI PET/CT for patients with malignancies of the lower gastrointestinal tract: first clinical experience. J Nucl Med. 2020;61:1331–6. https://doi.org/10.2967/jnumed.119.237016.

    Article  CAS  PubMed  Google Scholar 

  15. Shi X, Xing H, Yang X, Li F, Yao S, Zhang H, et al. Fibroblast imaging of hepatic carcinoma with (68)Ga-FAPI-04 PET/CT: a pilot study in patients with suspected hepatic nodules. Eur J Nucl Med Mol Imaging. 2020. https://doi.org/10.1007/s00259-020-04882-z.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Wei Y, Cheng K, Fu Z, Zheng J, Mu Z, Zhao C, et al. [18F]AlF-NOTA-FAPI-04 PET/CT uptake in metastatic lesions on PET/CT imaging might distinguish different pathological types of lung cancer. Eur J Nucl Med Mol Imaging. 2021. https://doi.org/10.1007/s00259-021-05638-z.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wang L, Tang G, Hu K, Liu X, Zhou W, Li H, et al. Comparison of (68)Ga-FAPI and (18)F-FDG PET/CT in the evaluation of advanced lung cancer. Radiology. 2022:211424. https://doi.org/10.1148/radiol.211424.

  18. Chen H, Pang Y, Wu J, Zhao L, Hao B, Wu J, et al. Comparison of [(68)Ga]Ga-DOTA-FAPI-04 and [(18)F] FDG PET/CT for the diagnosis of primary and metastatic lesions in patients with various types of cancer. Eur J Nucl Med Mol Imaging. 2020;47:1820–32. https://doi.org/10.1007/s00259-020-04769-z.

    Article  PubMed  Google Scholar 

  19. Detterbeck FC, Boffa DJ, Kim AW, Tanoue LT. The eighth edition lung cancer stage classification. Chest. 2017;151:193–203. https://doi.org/10.1016/j.chest.2016.10.010.

    Article  PubMed  Google Scholar 

  20. Kakinuma R, Noguchi M, Ashizawa K, Kuriyama K, Maeshima AM, Koizumi N, et al. Natural history of pulmonary subsolid nodules: a prospective multicenter study. J Thorac Oncol. 2016;11:1012–28. https://doi.org/10.1016/j.jtho.2016.04.006.

    Article  PubMed  Google Scholar 

  21. Mattes MD, Weber WA, Foster A, Moshchinsky AB, Ahsanuddin S, Zhang Z, et al. A predictive model for lymph node involvement with malignancy on PET/CT in non-small-cell lung cancer. J Thorac Oncol. 2015;10:1207–12. https://doi.org/10.1097/jto.0000000000000601.

    Article  PubMed  Google Scholar 

  22. Shim SS, Lee KS, Kim BT, Chung MJ, Lee EJ, Han J, et al. Non-small cell lung cancer: prospective comparison of integrated FDG PET/CT and CT alone for preoperative staging. Radiology. 2005;236:1011–9. https://doi.org/10.1148/radiol.2363041310.

    Article  PubMed  Google Scholar 

  23. Giesel FL, Heussel CP, Lindner T, Röhrich M, Rathke H, Kauczor H-U, et al. FAPI-PET/CT improves staging in a lung cancer patient with cerebral metastasis. Eur J Nucl Med Mol Imaging. 2019;46:1754–5. https://doi.org/10.1007/s00259-019-04346-z.

    Article  PubMed  Google Scholar 

  24. Maiga AW, Deppen SA, Mercaldo SF, Blume JD, Montgomery C, Vaszar LT, et al. Assessment of fluorodeoxyglucose F18-labeled positron emission tomography for diagnosis of high-risk lung nodules. JAMA Surg. 2018;153:329–34. https://doi.org/10.1001/jamasurg.2017.4495.

    Article  PubMed  Google Scholar 

  25. Röhrich M, Leitz D, Glatting FM, Wefers AK, Weinheimer O, Flechsig P, et al. Fibroblast activation protein specific PET/CT imaging in fibrotic interstitial lung diseases and lung cancer: a translational exploratory study. J Nucl Med. 2021. https://doi.org/10.2967/jnumed.121.261925.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Konishi J, Yamazaki K, Tsukamoto E, Tamaki N, Onodera Y, Otake T, et al. Mediastinal lymph node staging by FDG-PET in patients with non-small cell lung cancer: analysis of false-positive FDG-PET findings. Respiration. 2003;70:500–6. https://doi.org/10.1159/000074207.

    Article  PubMed  Google Scholar 

  27. Al-Sarraf N, Gately K, Lucey J, Wilson L, McGovern E, Young V. Lymph node staging by means of positron emission tomography is less accurate in non-small cell lung cancer patients with enlarged lymph nodes: analysis of 1,145 lymph nodes. Lung Cancer. 2008;60:62–8. https://doi.org/10.1016/j.lungcan.2007.08.036.

    Article  PubMed  Google Scholar 

  28. De Leyn P, Lardinois D, Van Schil P, Rami-Porta R, Passlick B, Zielinski M, et al. European trends in preoperative and intraoperative nodal staging: ESTS guidelines. J Thorac Oncol. 2007;2:357–61. https://doi.org/10.1097/01.JTO.0000263722.22686.1c.

    Article  PubMed  Google Scholar 

  29. Serfling S, Zhi Y, Schirbel A, Lindner T, Meyer T, Gerhard-Hartmann E, et al. Improved cancer detection in Waldeyer’s tonsillar ring by (68)Ga-FAPI PET/CT imaging. Eur J Nucl Med Mol Imaging. 2021;48:1178–87. https://doi.org/10.1007/s00259-020-05055-8.

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

The current research was financially supported by the Natural Science Foundation of Beijing project 7202027; National Natural Science Foundation of China 81871387, 81671733, 81871386, and 82001857; and Science Foundation of Peking University Cancer Hospital-2021–18.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Zhi Yang or Nan Li.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Medical Ethics Committee of Peking University Cancer Hospital (2019 KT95); oral and written informed consent was obtained from all participants.

Consent for publication

Not required.

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—Chest

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 15 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhou, X., Wang, S., Xu, X. et al. Higher accuracy of [68 Ga]Ga-DOTA-FAPI-04 PET/CT comparing with 2-[18F]FDG PET/CT in clinical staging of NSCLC. Eur J Nucl Med Mol Imaging 49, 2983–2993 (2022). https://doi.org/10.1007/s00259-022-05818-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00259-022-05818-5

Keywords

Navigation