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影像组学预测非小细胞肺癌淋巴结转移中的作用

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目的 全面回顾和综述基于影像组学在预测非小细胞肺癌(NSCLC)淋巴结转移方面的应用进展,为未来临床应用和研究提供方向.方法 运用Pubmed及中国知网数据库文献检索系统,以"非小细胞肺癌、影像组学、淋巴结转移"为中文关键词,"non-small cell lung cancer、Radiomics、lymph node metastasis"为英文关键词,检索 2019-01-01-2023-11-01相关文献.纳入标准:影像组学预测NSCLC患者淋巴结转移的相关研究.排除标准:(1)数据陈旧的相关研究;(2)质量差的文献.共纳入文献60篇.结果 影像组学作为一种新兴无创技术逐渐成为临床应用研究的热点,在预测NSCLC淋巴结转移中同样具有巨大潜力.目前基于计算机断层扫描(CT)、正电子发射断层成像/计算机断层扫描(PET/CT)、磁共振成像(MRI)和PET/MRI的影像组学模型在NSCLC淋巴结转移预测方面已取得部分成果,具有较高的灵敏度及特异度,将影像组学特征与基因、蛋白和代谢信息以及临床数据结合,可以进一步提高淋巴结转移预测模型的准确性,但需进一步规范数据采集及分析处理流程,促进影像组学技术与医学多学科有效融合,并通过大样本外部验证获得稳定的输出结果,为NSCLC患者的个体化精准诊疗提供更可靠的依据.结论 影像组学在预测NSCLC淋巴结转移中显示出独特的优势,但需要更多的前瞻性多中心研究及标准化流程提高其泛化性能.
The role of Radiomics in predicting lymph node metastasis in non-small cell lung cancer
Objective To comprehensively review and summarize the progress of radiomics-based applications in predicting lymph node metastasis in non-small cell lung cancer(NSCLC)and to provide directions for future clinical applications and research.Methods Pubmed and Chinese National knowledge Infrastructure(CNKI)database literature search system were used to search the relevant literature from January 1,2019,to November 1,2023 with the keywords of"non-small cell lung cancer,radiomics,lymph node metastasis".Inclusion criteria included radiomics research study related to predicting lymph node metastasis in NSCLC patients.Exclusion criteria were(1)literature with outdated date;(2)low-quality litera-ture.A total of 60 articles were included.Results As an emerging noninvasive technique,radiomics is becoming a hotspot for clinical applications and has great potential for predicting NSCLC lymph node metastasis.Radiomics models based on computed tomography(CT),positron emission tomography/computed tomography(PET/CT),magnetic resonance imaging(MRI)and PET/MRI have achieved partial results in the prediction of NSCLC lymph node metastasis with high sensitivity and specificity.Combining radiomics features with genetic,protein and metabolic information and clinical data can further improve the accuracy of lymph node metastasis prediction models.It is necessary to further standardize the process of data collection and analysis in the future,to promote the effective integration of radiomics technology with medical multidisci-plines,and to obtain stable output results through external validation of large samples,so as to provide a more reliable basis for the individualized and precise diagnosis and treatment of NSCLC patients.Conclusions Radiomics has shown u-nique advantages in predicting lymph node metastasis for NSCLC,but more prospective multicenter studies and standard-ized processes are needed to improve its generalization performance.

non-small cell lung cancerradiomicslymph node metastasisreview literature

薛璐、王琳琳

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潍坊医学院临床医学院,山东 潍坊 261053

山东省肿瘤防治研究院(山东省肿瘤医院)胸部放疗三病区,山东第一医科大学(山东省医学科学院),山东济南 250117

非小细胞肺癌 影像组学 淋巴结转移 综述文献

2024

中华肿瘤防治杂志
中华预防医学会 山东省肿瘤防治研究院

中华肿瘤防治杂志

CSTPCD北大核心
影响因子:1.292
ISSN:1673-5269
年,卷(期):2024.31(17)