Literature DB >> 33621587

68Ga-fibroblast activation protein inhibitor PET/CT on gross tumour volume delineation for radiotherapy planning of oesophageal cancer.

Liang Zhao1, Shanyu Chen2, Sijia Chen2, Yizhen Pang3, Yaqing Dai2, Shenping Hu2, Li'e Lin2, Lirong Fu2, Long Sun3, Hua Wu3, Haojun Chen4, Qin Lin5.   

Abstract

BACKGROUND AND
PURPOSE: To compare 68Ga-fibroblast activation protein inhibitor (FAPI) and 18F-FDG PET/CT in imaging locally advanced oesophageal cancer, and evaluate the potential usefulness of 68Ga-FAPI PET/CT on gross target volume (GTV) delineation aimed at radiotherapy planning for oesophageal cancer as compared with contrast-enhanced CT (CE-CT) and 18F-FDG PET/CT.
MATERIALS AND METHODS: Twenty-one patients with newly diagnosed oesophageal cancer who underwent both 18F-FDG and 68Ga-FAPI PET/CT scans were selected. GTVs of the primary tumours based on CE-CT (GTVCT), PET/CT, and CE-CT plus PET/CT were delineated. Gross tumour lengths were measured by GTVs and endoscopy and recorded.
RESULTS: The 68Ga-FAPI PET showed significantly higher radiotracer uptake than 18F-FDG PET (median SUVmax 16.71 vs. 11.23; P = 0.002) in the primary tumours. SUV thresholds of FAPI ×20%, 30%, 40%, and FDG ×40% showed similar lesion lengths compared with that in endoscopic examination (P > 0.05). GTVCT demonstrated the largest volume (median: 48.80 mm3, range: 14.83-162.23 mm3) than PET-based GTVs. For PET/CT-guided complementary contouring of GTVCT, four patients (19%) were increased by FAPI ×20% and 30%, two patients (9.5%) were increased by FAPI ×40%, and only one patient was increased by FDG ×40%. Furthermore, the volume of GTV based on CE-CT plus FAPI ×20%, 30%, and 40% showed no significant difference with GTVCT and planning target volume based CE-CT plus FAPI-PET and meets the organ at risk standard.
CONCLUSION: The 68Ga-FAPI PET/CT methodology showed favourable tumour-to-background contrast in oesophageal cancer and might provide additional information for target volume delineation and help avoid tumour geographic misses.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  (18)F-FDG; (68)Ga-FAPI; Gross target volume; Oesophageal cancer; PET/CT

Mesh:

Substances:

Year:  2021        PMID: 33621587     DOI: 10.1016/j.radonc.2021.02.015

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  7 in total

1.  Prognostic value of fibroblast activation protein expressing tumor volume calculated from [68 Ga]Ga-FAPI PET/CT in patients with esophageal squamous cell carcinoma.

Authors:  Liang Zhao; Yizhen Pang; Shanyu Chen; Jianhao Chen; Yimin Li; Yifeng Yu; Chunbin Huang; Long Sun; Hua Wu; Haojun Chen; Qin Lin
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-10-12       Impact factor: 10.057

2.  Comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F]FDG Uptake in Esophageal Cancer.

Authors:  Huipan Liu; Zhi Hu; Xiao Yang; Tianyang Dai; Yue Chen
Journal:  Front Oncol       Date:  2022-06-16       Impact factor: 5.738

Review 3.  Clinical summary of fibroblast activation protein inhibitor-based radiopharmaceuticals: cancer and beyond.

Authors:  Mengting Li; Muhsin H Younis; Yongxue Zhang; Weibo Cai; Xiaoli Lan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-01-31       Impact factor: 10.057

4.  State-of-the-art of FAPI-PET imaging: a systematic review and meta-analysis.

Authors:  Martina Sollini; Margarita Kirienko; Fabrizia Gelardi; Francesco Fiz; Noemi Gozzi; Arturo Chiti
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-06-25       Impact factor: 9.236

5.  Head-to-Head Comparison of Fibroblast Activation Protein Inhibitors (FAPI) Radiotracers versus [18F]F-FDG in Oncology: A Systematic Review.

Authors:  Giorgio Treglia; Barbara Muoio; Hessamoddin Roustaei; Zahra Kiamanesh; Kamran Aryana; Ramin Sadeghi
Journal:  Int J Mol Sci       Date:  2021-10-17       Impact factor: 5.923

6.  Could Fibroblast Activation Protein (FAP)-Specific Radioligands Be Considered as Pan-Tumor Agents?

Authors:  Hessamoddin Roustaei; Zahra Kiamanesh; Emran Askari; Ramin Sadeghi; Kamran Aryana; Giorgio Treglia
Journal:  Contrast Media Mol Imaging       Date:  2022-02-22       Impact factor: 3.161

Review 7.  Fibroblast activation protein-based theranostics in cancer research: A state-of-the-art review.

Authors:  Liang Zhao; Jianhao Chen; Yizhen Pang; Kaili Fu; Qihang Shang; Hua Wu; Long Sun; Qin Lin; Haojun Chen
Journal:  Theranostics       Date:  2022-01-09       Impact factor: 11.556

  7 in total

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