Prognostic Value of 18F-FDG PET/CT Metabolic Parameters in Resectable Non–small Cell Lung Cancer Treated With Neoadjuvant Immunotherapy Plus Chemotherapy

The PERCIST is more accurate than iRECIST in evaluating prognosis for NSCLC neoadjuvant immunotherapy plus chemotherapy. PET metabolic parameters, particularly ΔSUVmax, effectively predict prognosis and support clinical decision-making.

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Publication Details

Journal
Clinical Nuclear Medicine
Published
2025-03-20
DOI
https://doi.org/10.1097/rlu.0000000000005863
Citations
6
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
8.16
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article

Prognostic Value of 18F-FDG PET/CT Metabolic Parameters in Resectable Non–small Cell Lung Cancer Treated With Neoadjuvant Immunotherapy Plus Chemotherapy

Zhen-Peng Jiang, Xiaobo Chen, Kai-yu Lu, Dan Shao et al.
6 citations
Clinical Nuclear Medicine
Radiomics and Machine Learning in Medical Imaging
8.16
article

Prognostic Value of 18F-FDG PET/CT Metabolic Parameters in Resectable Non–small Cell Lung Cancer Treated With Neoadjuvant Immunotherapy Plus Chemotherapy

Zhen-Peng Jiang, Xiaobo Chen, Kai-yu Lu, Dan Shao, You Cheng, Zaiyi Liu
article en
6 citations

Abstract

The PERCIST is more accurate than iRECIST in evaluating prognosis for NSCLC neoadjuvant immunotherapy plus chemotherapy. PET metabolic parameters, particularly ΔSUVmax, effectively predict prognosis and support clinical decision-making.

Clinical Nuclear MedicineVol. 50(6)
Key Laboratory of Guangdong Province (CN), Guangzhou First People's Hospital (CN), Guangdong Academy of Medical Sciences (CN), Guangdong Provincial People's Hospital (CN), Southern Medical University (CN), South China University of Technology (CN), Guangzhou Medical University (CN)
Good health and well-being
Openalex Percentile: Top 3%
Radiomics and Machine Learning in Medical Imaging
8.16
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