Research Progress of Artificial Intelligence in 18F-FDG PET/CT Lung Tumor
10.3969/j.issn.1005-5185.2025.11.001
- VernacularTitle:人工智能在18F-FDG PET/CT肺部肿瘤中的进展与展望
- Author:
Weihao ZHAI
1
;
Xiaolin LI
;
Li FAN
Author Information
1. 上海理工大学健康科学与工程学院,上海 200093;海军军医大学第二附属医院放射诊断科,上海 200
- Publication Type:Journal Article
- Keywords:
Lung neoplasms;
Positron emission tomography computed tomography;
Fluorodeoxyglucose F18;
Tomography,X-ray computed;
Artificial intelligence;
Machine learning;
Deep learning;
Review
- From:
Chinese Journal of Medical Imaging
2025;33(11):1145-1150
- CountryChina
- Language:Chinese
-
Abstract:
18F-deoxyglucose(FDG)PET/CT has been widely used in the diagnosis,efficacy evaluation,and prognosis prediction of lung tumor.In recent years,artificial intelligence has shown increasing capabilities in the analysis and processing of medical images and has influenced various aspects of molecular imaging,at the same time,radiomics analysis based on artificial intelligence has received great attention in recent years.This article reviews the latest research progress of artificial intelligence in optimizing 18F-FDG PET/CT lung tumor images,explores the new developments and challenges of artificial intelligence in image acquisition,reconstruction,segmentation,denoise,radiomics,etc.,and looks forward to its future applications in lung tumor.
