Development of an 18F-fluorodeoxyglucose positron emission tomography/computed tomography-based visceral pleural invasion prediction index in peripheral subpleural non-small cell lung cancer ≤3 cm

The VPIP index formulated in this study based on FDG PET/CT in peripheral subpleural NSCLCs ≤3 cm may help develop more rational surgery strategies for small-size NSCLCs.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-09-24
DOI
https://doi.org/10.21037/qims-2024-2921
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Development of an 18F-fluorodeoxyglucose positron emission tomography/computed tomography-based visceral pleural invasion prediction index in peripheral subpleural non-small cell lung cancer ≤3 cm

Gang Huang, Liu Liu, Lihua Wang, He Zhang et al.
Quantitative Imaging in Medicine and Surgery
Radiomics and Machine Learning in Medical Imaging
article

Development of an 18F-fluorodeoxyglucose positron emission tomography/computed tomography-based visceral pleural invasion prediction index in peripheral subpleural non-small cell lung cancer ≤3 cm

Gang Huang, Liu Liu, Lihua Wang, He Zhang, Xuan He, Wenhui Xie, Suotang Jia, Bei Lei
article en

Abstract

The VPIP index formulated in this study based on FDG PET/CT in peripheral subpleural NSCLCs ≤3 cm may help develop more rational surgery strategies for small-size NSCLCs.

Quantitative Imaging in Medicine and SurgeryVol. 15(10)
Shanghai Jiao Tong University (CN), Shanghai Chest Hospital (CN), Shanghai University of Medicine and Health Sciences (CN), Siemens (China) (CN)
Openalex Percentile: Top 61%
Radiomics and Machine Learning in Medical Imaging
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