• 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

相似文献

1
[Quantitative Imaging Assessment of Tumor Response to Chemoradiation 
in Lung Cancer].[肺癌中肿瘤对放化疗反应的定量成像评估]
Zhongguo Fei Ai Za Zhi. 2017 Jun 20;20(6):407-414. doi: 10.3779/j.issn.1009-3419.2017.06.07.
2
Measurement Variability in Treatment Response Determination for Non-Small Cell Lung Cancer: Improvements Using Radiomics.非小细胞肺癌治疗反应评估中的测量变异性：放射组学的改进。
J Thorac Imaging. 2019 Mar;34(2):103-115. doi: 10.1097/RTI.0000000000000390.
3
Radiologic-pathologic correlation of response to chemoradiation in resectable locally advanced NSCLC.可切除的局部晚期非小细胞肺癌放化疗反应的放射学与病理学相关性
Lung Cancer. 2016 Dec;102:1-8. doi: 10.1016/j.lungcan.2016.10.002. Epub 2016 Oct 14.
4
(99m)Tc-3PRGD 2 SPECT/CT predicts the outcome of advanced nonsquamous non-small cell lung cancer receiving chemoradiotherapy plus bevacizumab.（99m）锝-3PRGD2单光子发射计算机断层扫描/计算机断层扫描（SPECT/CT）可预测接受放化疗联合贝伐单抗治疗的晚期非鳞状非小细胞肺癌的疗效。
Ann Nucl Med. 2015 Jul;29(6):519-27. doi: 10.1007/s12149-015-0975-5. Epub 2015 Apr 25.
5
Lung Cancer Radiogenomics: The Increasing Value of Imaging in Personalized Management of Lung Cancer Patients.肺癌放射基因组学：影像学在肺癌患者个体化管理中的价值不断提升。
J Thorac Imaging. 2018 Jan;33(1):17-25. doi: 10.1097/RTI.0000000000000312.
6
Imaging of Precision Therapy for Lung Cancer: Current State of the Art.肺癌精准治疗的影像学：现状。
Radiology. 2019 Oct;293(1):15-29. doi: 10.1148/radiol.2019190173. Epub 2019 Aug 6.
7
Development and clinical application of radiomics in lung cancer.放射组学在肺癌中的发展与临床应用。
Radiat Oncol. 2017 Sep 15;12(1):154. doi: 10.1186/s13014-017-0885-x.
8
TLG-S criteria are superior to both EORTC and PERCIST for predicting outcomes in patients with metastatic lung adenocarcinoma treated with erlotinib.对于接受厄洛替尼治疗的转移性肺腺癌患者，TLG-S标准在预测预后方面优于EORTC和PERCIST。
Eur J Nucl Med Mol Imaging. 2016 Nov;43(12):2155-2165. doi: 10.1007/s00259-016-3433-2. Epub 2016 Jun 3.
9
Radiomics: the bridge between medical imaging and personalized medicine.放射组学：医学影像与个性化医疗之间的桥梁。
Nat Rev Clin Oncol. 2017 Dec;14(12):749-762. doi: 10.1038/nrclinonc.2017.141. Epub 2017 Oct 4.
10
Thallium-201 imaging in the assessment of tumor response to anti-tumor treatments.
Q J Nucl Med. 2003 Mar;47(1):63-74.

引用本文的文献

1
Predicting the risk category of thymoma with machine learning-based computed tomography radiomics signatures and their between-imaging phase differences.基于机器学习的 CT 影像组学特征及其成像相位差异预测胸腺瘤风险类别。
Sci Rep. 2024 Aug 19;14(1):19215. doi: 10.1038/s41598-024-69735-3.
2
Impact of Computer-Aided CT and PET Analysis on Non-invasive T Staging in Patients with Lung Cancer and Atelectasis.计算机辅助 CT 和 PET 分析对肺癌伴肺不张患者非侵入性 T 分期的影响。
Mol Imaging Biol. 2018 Dec;20(6):1044-1052. doi: 10.1007/s11307-018-1196-9.

本文引用的文献

1
Diffusion-weighted imaging in evaluating the efficacy of concurrent chemoradiotherapy in the treatment of non-small cell lung cancer.弥散加权成像在评估同步放化疗治疗非小细胞肺癌疗效中的应用
Tumori. 2018 Jun;104(3):188-195. doi: 10.5301/tj.5000612. Epub 2018 May 8.
2
Monitoring and management of lung cancer patients following curative-intent treatment: clinical utility of 2-deoxy-2-[fluorine-18]fluoro-d-glucose positron emission tomography/computed tomography.根治性治疗后肺癌患者的监测与管理：2-脱氧-2-[氟-18]氟-D-葡萄糖正电子发射断层扫描/计算机断层扫描的临床应用
Lung Cancer (Auckl). 2016 Apr 27;7:45-51. doi: 10.2147/LCTT.S83644. eCollection 2016.
3
Dynamic contrast-enhanced MRI to predict response to vinorelbine-cisplatin alone or with rh-endostatin in patients with non-small cell lung cancer and bone metastases: a randomised, double-blind, placebo-controlled trial.动态对比增强 MRI 预测长春瑞滨联合顺铂或联合 rh-endostatin 治疗非小细胞肺癌伴骨转移患者的疗效：一项随机、双盲、安慰剂对照研究。
Lancet. 2016 Oct;388 Suppl 1:S95. doi: 10.1016/S0140-6736(16)32022-0.
4
Molecular Imaging and Precision Medicine in Lung Cancer.肺癌中的分子成像与精准医学
PET Clin. 2017 Jan;12(1):53-62. doi: 10.1016/j.cpet.2016.08.008. Epub 2016 Sep 10.
5
The Value of FDG PET/CT in Treatment Response Assessment, Follow-Up, and Surveillance of Lung Cancer.氟代脱氧葡萄糖正电子发射断层显像/X线计算机体层成像（FDG PET/CT）在肺癌治疗反应评估、随访及监测中的价值
AJR Am J Roentgenol. 2017 Feb;208(2):420-433. doi: 10.2214/AJR.16.16532. Epub 2016 Oct 11.
6
Evaluation of lung tumor response to therapy: Current and emerging techniques.
Diagn Interv Imaging. 2016 Oct;97(10):1053-1065. doi: 10.1016/j.diii.2016.09.001. Epub 2016 Sep 29.
7
Contribution of magnetic resonance imaging in lung cancer imaging.磁共振成像在肺癌成像中的作用。
Diagn Interv Imaging. 2016 Oct;97(10):991-1002. doi: 10.1016/j.diii.2016.08.015. Epub 2016 Sep 29.
8
[Clinical value of changes of SUVmax in series F-FDG PET/CT imaging before and after chemotherapy for non-small cell lung cancer].
Zhonghua Yi Xue Za Zhi. 2016 Sep 20;96(35):2786-2790. doi: 10.3760/cma.j.issn.0376-2491.2016.35.005.
9
Assessing Tumor Response to Treatment in Patients with Lung Cancer Using Dynamic Contrast-Enhanced CT.使用动态对比增强 CT 评估肺癌患者的肿瘤治疗反应。
Diagnostics (Basel). 2016 Jul 21;6(3):28. doi: 10.3390/diagnostics6030028.
10
Clinical utility of F-18 FDG PET-CT in the initial evaluation of lung cancer.F-18氟代脱氧葡萄糖正电子发射断层显像-计算机断层扫描（F-18 FDG PET-CT）在肺癌初始评估中的临床应用价值
Eur J Nucl Med Mol Imaging. 2016 Oct;43(11):2084-97. doi: 10.1007/s00259-016-3407-4. Epub 2016 May 11.

[肺癌中肿瘤对放化疗反应的定量成像评估]

[Quantitative Imaging Assessment of Tumor Response to Chemoradiation 
in Lung Cancer].

作者信息

Jiao Yuxin, Ren Yanping, Zheng Xiangpeng

机构信息

Department of Radiology Oncology;Department of Radiology, Fudan University Huadong Hospital, Shanghai 200040, China.

Department of Radiology Oncology, Fudan University Huadong Hospital, Shanghai 200040, China.

出版信息

Zhongguo Fei Ai Za Zhi. 2017 Jun 20;20(6):407-414. doi: 10.3779/j.issn.1009-3419.2017.06.07.

DOI:10.3779/j.issn.1009-3419.2017.06.07
PMID:28641699
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5973359/
Abstract

Precision medicine demands accurate assessment of tumor response to therapies with the purpose of timely optimization or adjustment of the given treatment regimens. Chemoradiation remains the standard of care in advanced lung cancers and imaging-based noninvasive response evaluation could improve therapeutic efficacy and reduce treatment-related severe side effects. In this review, we overviewed the applications and pitfalls of major imaging modalities in response evaluation in lung cancer from a quantitative perspective. The development of radiomics will provide more precise information for treatment predicting, evaluation and prognosis.

摘要

精准医学要求准确评估肿瘤对治疗的反应，以便及时优化或调整给定的治疗方案。放化疗仍然是晚期肺癌的标准治疗方法，基于影像学的非侵入性反应评估可以提高治疗效果并减少与治疗相关的严重副作用。在本综述中，我们从定量角度概述了主要成像模态在肺癌反应评估中的应用和陷阱。放射组学的发展将为治疗预测、评估和预后提供更精确的信息。