Literature DB >> 35543731

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

Xin Zhou1, Shuailiang Wang1, Xiaoxia Xu1, Xiangxi Meng1, Huiyuan Zhang1, Annan Zhang1, Yufei Song1, Hua Zhu1, Zhi Yang2, Nan Li3.   

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.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  2-[18F]FDG; Clinical staging; NSCLC; PET/CT; [68 Ga]Ga-DOTA-FAPI-04

Mesh:

Substances:

Year:  2022        PMID: 35543731     DOI: 10.1007/s00259-022-05818-5

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   10.057


  27 in total

1.  Development of Quinoline-Based Theranostic Ligands for the Targeting of Fibroblast Activation Protein.

Authors:  Thomas Lindner; Anastasia Loktev; Annette Altmann; Frederik Giesel; Clemens Kratochwil; Jürgen Debus; Dirk Jäger; Walter Mier; Uwe Haberkorn
Journal:  J Nucl Med       Date:  2018-04-06       Impact factor: 10.057

Review 2.  Molecular mechanism underlying the tumor-promoting functions of carcinoma-associated fibroblasts.

Authors:  Yali Han; Yanwen Zhang; Tanghong Jia; Yuping Sun
Journal:  Tumour Biol       Date:  2015-02-15

3.  Cell surface glycoprotein of reactive stromal fibroblasts as a potential antibody target in human epithelial cancers.

Authors:  P Garin-Chesa; L J Old; W J Rettig
Journal:  Proc Natl Acad Sci U S A       Date:  1990-09       Impact factor: 11.205

4.  Fibroblast activation protein regulates tumor-associated fibroblasts and epithelial ovarian cancer cells.

Authors:  Dongmei Lai; Li Ma; Fangyuan Wang
Journal:  Int J Oncol       Date:  2012-05-14       Impact factor: 5.650

Review 5.  The biology and function of fibroblasts in cancer.

Authors:  Raghu Kalluri
Journal:  Nat Rev Cancer       Date:  2016-08-23       Impact factor: 60.716

Review 6.  Cancer-associated fibroblasts in tumor microenvironment - Accomplices in tumor malignancy.

Authors:  Zehuan Liao; Zhen Wei Tan; Pengcheng Zhu; Nguan Soon Tan
Journal:  Cell Immunol       Date:  2018-02-13       Impact factor: 4.868

7.  Fibroblast activation protein-α, a stromal cell surface protease, shapes key features of cancer associated fibroblasts through proteome and degradome alterations.

Authors:  M M Koczorowska; S Tholen; F Bucher; L Lutz; J N Kizhakkedathu; O De Wever; U F Wellner; M L Biniossek; A Stahl; S Lassmann; O Schilling
Journal:  Mol Oncol       Date:  2015-08-11       Impact factor: 6.603

8.  A Tumor-Imaging Method Targeting Cancer-Associated Fibroblasts.

Authors:  Anastasia Loktev; Thomas Lindner; Walter Mier; Jürgen Debus; Annette Altmann; Dirk Jäger; Frederik Giesel; Clemens Kratochwil; Philippe Barthe; Christian Roumestand; Uwe Haberkorn
Journal:  J Nucl Med       Date:  2018-04-06       Impact factor: 10.057

Review 9.  Hyaluronan, Cancer-Associated Fibroblasts and the Tumor Microenvironment in Malignant Progression.

Authors:  James B McCarthy; Dorraya El-Ashry; Eva A Turley
Journal:  Front Cell Dev Biol       Date:  2018-05-08

10.  68Ga-FAPI PET/CT: Biodistribution and Preliminary Dosimetry Estimate of 2 DOTA-Containing FAP-Targeting Agents in Patients with Various Cancers.

Authors:  Frederik L Giesel; Clemens Kratochwil; Thomas Lindner; Manfred M Marschalek; Anastasia Loktev; Wencke Lehnert; Jürgen Debus; Dirk Jäger; Paul Flechsig; Annette Altmann; Walter Mier; Uwe Haberkorn
Journal:  J Nucl Med       Date:  2018-08-02       Impact factor: 10.057

View more
  1 in total

1.  State-of-the-art of nuclear medicine and molecular imaging in China: after the first 66 years (1956-2022).

Authors:  Xiaoli Lan; Li Huo; Shuren Li; Jing Wang; Weibo Cai
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-07       Impact factor: 10.057

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.