Optimal image-derived input function models for multi-parameter analysis and acceptably reduced acquisition time in [18F]F-FAPI-42 PET total-body dynamic imaging for lung cancer

The RVIF model appears to be more suitable than the DAIF model for quantifying kinetic parameters in [<sup>18</sup>F]F-FAPI-42 PET dynamic imaging of lung cancer, with an acceptable shortened acquisition time of 26 min.

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Publication Details

Journal
EJNMMI Physics
Published
2025-10-14
DOI
https://doi.org/10.1186/s40658-025-00802-y
Citations
1
Primary Topic
Peptidase Inhibition and Analysis
Type
article
Field-Weighted Citation Impact
1.05

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article

Optimal image-derived input function models for multi-parameter analysis and acceptably reduced acquisition time in [18F]F-FAPI-42 PET total-body dynamic imaging for lung cancer

Kemin Zhou, Jiahao Xie, Yanjiang Han, Hubing Wu et al.
1 citations
EJNMMI Physics
Peptidase Inhibition and Analysis
1.05
article

Optimal image-derived input function models for multi-parameter analysis and acceptably reduced acquisition time in [18F]F-FAPI-42 PET total-body dynamic imaging for lung cancer

Kemin Zhou, Jiahao Xie, Yanjiang Han, Hubing Wu, Yanchao Huang, Ganghua Tang, Penghui Sun, Dazhi Shi, Lijuan Wang, Ying Tian
article en
1 citations

Abstract

The RVIF model appears to be more suitable than the DAIF model for quantifying kinetic parameters in [<sup>18</sup>F]F-FAPI-42 PET dynamic imaging of lung cancer, with an acceptable shortened acquisition time of 26 min.

EJNMMI PhysicsVol. 12(1)
Nanfang Hospital (CN), Southern Medical University (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 17%
Peptidase Inhibition and Analysis
1.05
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