无线电技术
医学
医学物理学
管道(软件)
检查表
协调
Pet成像
人工智能
核医学
正电子发射断层摄影术
计算机科学
放射科
心理学
程序设计语言
认知心理学
物理
声学
作者
Fanny Orlhac,Christophe Nioche,Ivan S. Klyuzhin,Arman Rahmim,Irène Buvat
出处
期刊:Pet Clinics
[Elsevier]
日期:2021-09-15
卷期号:16 (4): 597-612
被引量:73
标识
DOI:10.1016/j.cpet.2021.06.007
摘要
Radiomics has undergone considerable development in recent years. In PET imaging, very promising results concerning the ability of handcrafted features to predict the biological characteristics of lesions and to assess patient prognosis or response to treatment have been reported in the literature. This article presents a checklist for designing a reliable radiomic study, gives an overview of the steps of the pipeline, and outlines approaches for data harmonization. Tips are provided for critical reading of the content of articles. The advantages and limitations of handcrafted radiomics compared with deep-learning approaches for the characterization of PET images are also discussed.
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