• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

放射组学在免疫检查点抑制剂相关肺炎的非小细胞肺癌患者中的临床应用。

Clinical applications of radiomics in non-small cell lung cancer patients with immune checkpoint inhibitor-related pneumonitis.

机构信息

Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

出版信息

Front Immunol. 2023 Sep 20;14:1251645. doi: 10.3389/fimmu.2023.1251645. eCollection 2023.

DOI:10.3389/fimmu.2023.1251645
PMID:37799725
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10547882/
Abstract

Immune checkpoint inhibitors (ICIs) modulate the body's immune function to treat tumors but may also induce pneumonitis. Immune checkpoint inhibitor-related pneumonitis (ICIP) is a serious immune-related adverse event (irAE). Immunotherapy is currently approved as a first-line treatment for non-small cell lung cancer (NSCLC), and the incidence of ICIP in NSCLC patients can be as high as 5%-19% in clinical practice. ICIP can be severe enough to lead to the death of NSCLC patients, but there is a lack of a gold standard for the diagnosis of ICIP. Radiomics is a method that uses computational techniques to analyze medical images (e.g., CT, MRI, PET) and extract important features from them, which can be used to solve classification and regression problems in the clinic. Radiomics has been applied to predict and identify ICIP in NSCLC patients in the hope of transforming clinical qualitative problems into quantitative ones, thus improving the diagnosis and treatment of ICIP. In this review, we summarize the pathogenesis of ICIP and the process of radiomics feature extraction, review the clinical application of radiomics in ICIP of NSCLC patients, and discuss its future application prospects.

摘要

免疫检查点抑制剂(ICIs)调节机体免疫功能以治疗肿瘤,但也可能诱发肺炎。免疫检查点抑制剂相关肺炎(ICIP)是一种严重的免疫相关不良事件(irAE)。免疫疗法目前被批准用于非小细胞肺癌(NSCLC)的一线治疗,在临床实践中,NSCLC 患者发生 ICIP 的比例高达 5%-19%。ICIP 严重时可导致 NSCLC 患者死亡,但目前缺乏 ICIP 的金标准诊断方法。放射组学是一种利用计算技术分析医学图像(如 CT、MRI、PET)并从中提取重要特征的方法,可用于解决临床中的分类和回归问题。放射组学已被应用于预测和识别 NSCLC 患者的 ICIP,以期将临床定性问题转化为定量问题,从而改善 ICIP 的诊断和治疗。本综述总结了 ICIP 的发病机制和放射组学特征提取过程,回顾了放射组学在 NSCLC 患者 ICIP 中的临床应用,并探讨了其未来的应用前景。

相似文献

1
Clinical applications of radiomics in non-small cell lung cancer patients with immune checkpoint inhibitor-related pneumonitis.放射组学在免疫检查点抑制剂相关肺炎的非小细胞肺癌患者中的临床应用。
Front Immunol. 2023 Sep 20;14:1251645. doi: 10.3389/fimmu.2023.1251645. eCollection 2023.
2
Image classification of immune checkpoint inhibitor-related pneumonia in lung cancer patients.肺癌患者中免疫检查点抑制剂相关肺炎的图像分类
Clin Imaging. 2022 Jun;86:31-37. doi: 10.1016/j.clinimag.2022.03.012. Epub 2022 Mar 18.
3
Development and Validation of a Radiomics Nomogram Using Computed Tomography for Differentiating Immune Checkpoint Inhibitor-Related Pneumonitis From Radiation Pneumonitis for Patients With Non-Small Cell Lung Cancer.基于 CT 影像的放射组学列线图模型构建及其在免疫检查点抑制剂相关性肺炎与放射性肺炎鉴别诊断中的价值:一项针对非小细胞肺癌患者的研究
Front Immunol. 2022 Apr 26;13:870842. doi: 10.3389/fimmu.2022.870842. eCollection 2022.
4
Risk of Developing Checkpoint Immune Pneumonitis and Its Effect on Overall Survival in Non-small Cell Lung Cancer Patients Previously Treated With Radiotherapy.曾接受放疗的非小细胞肺癌患者发生免疫检查点相关性肺炎的风险及其对总生存期的影响
Front Oncol. 2020 Sep 29;10:570233. doi: 10.3389/fonc.2020.570233. eCollection 2020.
5
Distinguishing immune checkpoint inhibitor-related pneumonitis from radiation pneumonitis by CT radiomics features in non-small cell lung cancer.通过 CT 影像组学特征区分非小细胞肺癌中免疫检查点抑制剂相关肺炎与放射性肺炎。
Int Immunopharmacol. 2024 Feb 15;128:111489. doi: 10.1016/j.intimp.2024.111489. Epub 2024 Jan 23.
6
Development and Validation of a Machine Learning-Based Model Using CT Radiomics for Predicting Immune Checkpoint Inhibitor-related Pneumonitis in Patients With NSCLC Receiving Anti-PD1 Immunotherapy: A Multicenter Retrospective CaseControl Study.基于 CT 影像组学的机器学习模型在预测 NSCLC 患者接受抗 PD-1 免疫治疗后免疫检查点抑制剂相关肺炎中的开发和验证:一项多中心回顾性病例对照研究。
Acad Radiol. 2024 May;31(5):2128-2143. doi: 10.1016/j.acra.2023.10.039. Epub 2023 Nov 17.
7
Deep learning predicts immune checkpoint inhibitor-related pneumonitis from pretreatment computed tomography images.深度学习可根据治疗前计算机断层扫描图像预测免疫检查点抑制剂相关肺炎。
Front Physiol. 2022 Jul 25;13:978222. doi: 10.3389/fphys.2022.978222. eCollection 2022.
8
Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors.基于计算机断层扫描的放射组学在免疫检查点抑制剂治疗 IV 期非小细胞肺癌患者中鉴别诊断肺炎的应用。
Eur J Cancer. 2023 Apr;183:142-151. doi: 10.1016/j.ejca.2023.01.027. Epub 2023 Feb 9.
9
Immunotherapy-induced pneumonitis in non-small cell lung cancer patients: current concern in treatment with immune-check-point inhibitors.免疫检查点抑制剂治疗中非小细胞肺癌患者免疫治疗相关性肺炎:当前关注的问题
Invest New Drugs. 2021 Jun;39(3):891-898. doi: 10.1007/s10637-020-01051-9. Epub 2021 Jan 11.
10
Differentiation between immune checkpoint inhibitor-related and radiation pneumonitis in lung cancer by CT radiomics and machine learning.基于 CT 影像组学和机器学习对肺癌免疫检查点抑制剂相关性肺炎与放射性肺炎的鉴别诊断。
Med Phys. 2022 Mar;49(3):1547-1558. doi: 10.1002/mp.15451. Epub 2022 Jan 27.

引用本文的文献

1
Biomarkers and ImmuneScores in lung cancer: predictive insights for immunotherapy and combination treatment strategies.肺癌中的生物标志物与免疫评分:免疫治疗及联合治疗策略的预测性见解
Biol Proced Online. 2025 Jul 10;27(1):25. doi: 10.1186/s12575-025-00287-0.
2
Radiomics Models to Predict Tumor Response and Pneumonitis in Non-Small Cell Lung Cancer Patients Treated with Immunotherapy.预测接受免疫治疗的非小细胞肺癌患者肿瘤反应和肺炎的放射组学模型
J Clin Med. 2025 Jun 18;14(12):4330. doi: 10.3390/jcm14124330.
3
Automatic machine learning accurately predicts the efficacy of immunotherapy for patients with inoperable advanced non-small cell lung cancer using a computed tomography-based radiomics model.自动机器学习使用基于计算机断层扫描的放射组学模型,准确预测不可切除的晚期非小细胞肺癌患者免疫治疗的疗效。
Diagn Interv Radiol. 2025 Mar 3;31(2):130-140. doi: 10.4274/dir.2024.242972. Epub 2025 Jan 16.
4
A comprehensive neuroimaging review of the primary and metastatic brain tumors treated with immunotherapy: current status, and the application of advanced imaging approaches and artificial intelligence.免疫疗法治疗原发性和转移性脑肿瘤的综合神经影像学综述:现状、先进成像方法及人工智能的应用
Front Immunol. 2024 Nov 28;15:1496627. doi: 10.3389/fimmu.2024.1496627. eCollection 2024.

本文引用的文献

1
Re-evaluating the risk factors for radiation pneumonitis in the era of immunotherapy.免疫治疗时代放射性肺炎风险因素的再评估。
J Transl Med. 2023 Jun 7;21(1):368. doi: 10.1186/s12967-023-04212-5.
2
Radiomics and Delta-Radiomics Signatures to Predict Response and Survival in Patients with Non-Small-Cell Lung Cancer Treated with Immune Checkpoint Inhibitors.用于预测接受免疫检查点抑制剂治疗的非小细胞肺癌患者的反应和生存情况的放射组学和Delta放射组学特征
Cancers (Basel). 2023 Mar 25;15(7):1968. doi: 10.3390/cancers15071968.
3
Deep learning for predicting the risk of immune checkpoint inhibitor-related pneumonitis in lung cancer.深度学习用于预测肺癌中免疫检查点抑制剂相关肺炎的风险
Clin Radiol. 2023 May;78(5):e377-e385. doi: 10.1016/j.crad.2022.12.013. Epub 2023 Jan 14.
4
Integration of longitudinal deep-radiomics and clinical data improves the prediction of durable benefits to anti-PD-1/PD-L1 immunotherapy in advanced NSCLC patients.纵向深度放射组学与临床资料的整合可改善对晚期 NSCLC 患者接受抗 PD-1/PD-L1 免疫治疗持久获益的预测。
J Transl Med. 2023 Mar 5;21(1):174. doi: 10.1186/s12967-023-04004-x.
5
Clinical characteristics and therapeutic effects of checkpoint inhibitor-related pneumonitis in patients with non-small cell lung cancer.非小细胞肺癌患者中检查点抑制剂相关肺炎的临床特征和治疗效果。
BMC Cancer. 2023 Mar 3;23(1):203. doi: 10.1186/s12885-023-10649-0.
6
Predicting survival of NSCLC patients treated with immune checkpoint inhibitors: Impact and timing of immune-related adverse events and prior tyrosine kinase inhibitor therapy.预测接受免疫检查点抑制剂治疗的非小细胞肺癌患者的生存率:免疫相关不良事件及既往酪氨酸激酶抑制剂治疗的影响和时机
Front Oncol. 2023 Feb 13;13:1064169. doi: 10.3389/fonc.2023.1064169. eCollection 2023.
7
Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors.基于计算机断层扫描的放射组学在免疫检查点抑制剂治疗 IV 期非小细胞肺癌患者中鉴别诊断肺炎的应用。
Eur J Cancer. 2023 Apr;183:142-151. doi: 10.1016/j.ejca.2023.01.027. Epub 2023 Feb 9.
8
Association of Clinical and Radiological Features with Disease Severity of Symptomatic Immune Checkpoint Inhibitor-Related Pneumonitis.有症状的免疫检查点抑制剂相关肺炎的临床和放射学特征与疾病严重程度的关联
Diagnostics (Basel). 2023 Feb 12;13(4):691. doi: 10.3390/diagnostics13040691.
9
[Research Progress in Imaging-based Diagnosis of Benign and Malignant 
Enlarged Lymph Nodes in Non-small Cell Lung Cancer].[非小细胞肺癌中基于影像学的良恶性肿大淋巴结诊断研究进展]
Zhongguo Fei Ai Za Zhi. 2023 Jan 20;26(1):31-37. doi: 10.3779/j.issn.1009-3419.2023.101.01.
10
Cancer statistics, 2023.癌症统计数据,2023 年。
CA Cancer J Clin. 2023 Jan;73(1):17-48. doi: 10.3322/caac.21763.