上海交通大学学报(医学版) ›› 2023, Vol. 43 ›› Issue (6): 781-787.doi: 10.3969/j.issn.1674-8115.2023.06.016

• 综述 • 上一篇    

18F-FDG PET/CT影像组学应用于淋巴瘤诊疗及预后预测的研究进展

程然(), 胡佳佳, 李彪()   

  1. 上海交通大学医学院附属瑞金医院核医学科,上海 200025
  • 收稿日期:2023-01-29 接受日期:2023-05-04 出版日期:2023-06-28 发布日期:2023-06-28
  • 通讯作者: 李彪 E-mail:chengran354@163.com;lb10363@rjh.com.cn
  • 作者简介:程 然(1998—),女,博士生;电子信箱:chengran354@163.com
  • 基金资助:
    上海市浦江人才计划(D类)(21PJD042);上海市“医苑新星”青年医学人才——医学影像项目;上海市临床重点专科建设项目(shslczdzk03403)

Advances in the application of 18F-FDG PET/CT radiomics for diagnosis, treatment and prognosis prediction of lymphoma

CHENG Ran(), HU Jiajia, LI Biao()   

  1. Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
  • Received:2023-01-29 Accepted:2023-05-04 Online:2023-06-28 Published:2023-06-28
  • Contact: LI Biao E-mail:chengran354@163.com;lb10363@rjh.com.cn
  • Supported by:
    Shanghai Pujiang Program (Class D)(21PJD042);Shanghai Youth Medical Talents-Medical Imaging Practitioner Program;Project of Shanghai Key Clinical Specialty Construction(shslczdzk03403)

摘要:

淋巴瘤是一种高度异质性的血液系统恶性肿瘤,全身各器官可受累,各亚型间临床特点存在很大差异。18F氟代脱氧葡萄糖(18F-fluorodeoxyglucose,18F-FDG)PET/CT是淋巴瘤临床诊断及治疗过程中重要的影像学检查方法,利于高侵袭性淋巴瘤的解剖学定位及代谢特征量化。该法通过比较治疗前后、病灶与血池的代谢变化从而系统评价疾病。但淋巴瘤异质性及18F-FDG PET/CT鉴别的局限性增加了医师的诊断难度,从而影响患者的临床治疗方案及预后。随着计算机硬件和图像分析技术的进步,基于提取病灶影像学特征进行分析诊断的影像组学技术应运而生。许多研究者投身于淋巴瘤18F-FDG PET/CT的影像组学研究,通过特征数据与相关临床数据结合建立模型,将图像信息、临床信息、病理及生存期等随访结果有效关联,提高了影像诊断的准确性和效率;同时根据模型预测预后和疗效,有望减少因医师经验差异导致的主观误差,辅助实现精准医疗。该文从诊断和鉴别诊断、预后预测和风险分级、药物疗效预测及影像组学分析算法优化等方面,对近年来18F-FDG PET/CT影像组学应用于淋巴瘤诊疗及预后评估的研究进展进行全面综述,以期为进一步研究机器学习、开发医学影像分析技术提供思路。

关键词: 影像组学, 淋巴瘤, 正电子发射断层显像, X射线计算机体层摄影, 18F氟代脱氧葡萄糖

Abstract:

Lymphoma is a highly heterogeneous hematological malignancy that can affect multiple organs throughout the body, exhibiting significant clinical variations among its subtypes. 18F-fluorodeoxyglucose (18F-FDG) PET/CT plays a crucial role in the clinical diagnosis and treatment of lymphoma by facilitating anatomical localization and quantification of metabolic characteristics of highly aggressive lymphomas. This imaging examination method enables a comprehensive evaluation by comparing the metabolic changes before and after treatment, as well as the metabolic difference between lesions and blood pools. However, the heterogeneity of lymphoma, coupled with the limitations of 18F-FDG PET/CT in differentiation, poses challenges for physicians and adversely impacts the clinical treatment plan and prognosis of patients. With the advancement of computer hardware and image analysis technology, radiomics technology, based on the extraction of imaging features of lesions for analysis and diagnosis, has emerged. Numerous researchers have dedicated their efforts to exploring imageomics in lymphoma assessment by using 18F-FDG PET/CT. By integrating feature data with relevant clinical information, models have been developed to effectively correlate image information, clinical data, pathology, and survival outcomes, thereby enhancing the accuracy and efficiency of imaging diagnosis. Furthermore, the utilization of predictive models for prognosis and treatment efficacy has the potential to mitigate subjective errors arising from disparities in physician experience, thereby contributing to the realization of personalized medicine. This review intends to comprehensively summarize the research progress of 18F-FDG PET/CT radiomics in the diagnosis, treatment and evaluation of lymphoma in recent years, from the aspects of diagnosis and differential diagnosis, prognosis prediction and risk grading, drug efficacy prediction and radiomics analysis algorithm optimization, so as to provide insights for future research in machine learning and the development of medical imaging analysis techniques.

Key words: radiomics, lymphoma, positron emission tomography, X-ray computed tomography, 18F-fluorodeoxyglucose (18F-FDG)

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