Research progress of PET/CT radiomics based on artificial intelligence in clinical tumor diagnosis and treatment

CHEN Wen; NIE Shengdong; SONG Shaoli

doi:10.19732/j.cnki.2096-6210.2021.06.001

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Research progress of PET/CT radiomics based on artificial intelligence in clinical tumor diagnosis and treatment

更新时间：2025-12-15

- Research progress of PET/CT radiomics based on artificial intelligence in clinical tumor diagnosis and treatment
- Vol. 30, Issue 6, Pages: 433-438(2021)
- 作者机构：
  
  1. 上海分子影像探针工程技术研究中心,上海,200032
  2. 复旦大学核物理与离子束应用教育部重点实验室,上海,200433
  3. 复旦大学附属肿瘤医院核医学科，复旦大学上海医学院肿瘤学系,上海,200032
  4. 复旦大学生物医学影像研究中心,上海,200032
  5. 上海理工大学医学影像工程研究所,上海,200093
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2021.06.001
  CLC：
- Published Online：28 December 2021，
  
  Published：28 December 2021
- 稿件说明：
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陈雯,聂生东,宋少莉. 基于人工智能的PET/CT影像组学在临床肿瘤诊疗中的研究进展[J]. 肿瘤影像学, 2021, 30(6): 433-438 https://doi.

org/10.19732/j.cnki.2096-6210.2021.06.001
陈雯,聂生东,宋少莉. 基于人工智能的PET/CT影像组学在临床肿瘤诊疗中的研究进展[J]. 肿瘤影像学, 2021, 30(6): 433-438 https://doi. DOI： 10.19732/j.cnki.2096-6210.2021.06.001.

org/10.19732/j.cnki.2096-6210.2021.06.001 DOI：

摘要

近年来，影像组学与人工智能技术为医学影像领域的研究提供了新的分析工具。本文对基于人工智能的影像组学技术在正电子发射体层成像（positron emission tomography，PET）/计算机体层成像（computed tomography，CT）分析中的相关研究进展进行综述，以期为进一步的PET/CT精准医学分析提供参考。首先，概述基于人工智能的PET/CT影像组学技术的两类不同的思路与方法；其次，归纳PET/CT影像组学分析在临床肿瘤诊疗中的各类典型应用，并对其优缺点进行梳理；最后，列举该领域现阶段存在的问题与面临的挑战，并展望未来更有价值的研究方向。基于人工智能的PET/CT影像组学在临床肿瘤诊疗中已经取得了一些引人注目的研究成果与进展，但若要应用于临床，还需更深入的研究与探索。

Abstract

In recent years

radiomics and artificial intelligence technology have provided new analytical tools for medical imaging research. This paper reviewed the research progress of artificial intelligence-based radiomics technology in positron emission tomography (PET)/computed tomography (CT) imaging analysis

in order to provide reference for further in-depth PET/CT precision medicine analysis. Firstly

two different ideas and methods of PET/CT radiomics based on artificial intelligence were summarized. Secondly

various typical applications of PET/CT radiomics analysis in clinical tumor diagnosis and treatment were summarized

and its advantages and disadvantages were discussed. Finally

the current problems and challenges in this field were summarized

and more valuable research directions in the future were prospected. Artificial intelligence-based PET/CT radiomics has achieved some remarkable research results and progress in clinical diagnosis and treatment of tumors

but further research and exploration are needed before it can be applied in clinical practice.

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