• 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

肿瘤治疗的进展:RECIST 1.1标准的局限性。

Advances in oncological treatment: limitations of RECIST 1.1 criteria.

作者信息

Grimaldi Serena, Terroir Marie, Caramella Caroline

机构信息

Department of Nuclear Medicine and Endocrine Tumors, Gustave Roussy Institute, Villejuif, France -

Department of Nuclear Medicine and Endocrine Tumors, Gustave Roussy Institute, Villejuif, France.

出版信息

Q J Nucl Med Mol Imaging. 2018 Jun;62(2):129-139. doi: 10.23736/S1824-4785.17.03038-2. Epub 2017 Nov 22.

DOI:10.23736/S1824-4785.17.03038-2
PMID:29166754
Abstract

RECIST 1.1 criteria are the standard for the response assessment of most solid tumors on computed tomography (CT). Nevertheless, the emergence of new classes of treatment in the lasts decades has brought new challenges in the evaluation of response. A PubMed online database literature search was performed in order to identify papers in English with full text available published up to September 2017. Some oncologic treatments, such as antiangiogenic agents, immunotherapy and local treatments, have proven to be effective despite atypical patterns of response. In patients undergoing these treatments, size-based evaluations, such as RECIST1.1, show some limitations, since they often underestimate the response. Some modified criteria have been proposed to improve the response assessment in several specific settings, such in gastrointestinal stromal tumors treated by antiangiogenic agents, hepatocellular carcinoma treated by local ablation or solid tumors treated by immunotherapy. New techniques of image analysis and imaging modalities other than CT, such as magnetic resonance imaging and positron emission tomography, may provide additional information and amend some of the limitations of size-based criteria. The emergence of new treatment paradigms and the increasing trend toward personalizing treatment should be associated with a concomitant evolution of response assessment, in both research and clinical settings.

摘要

实体瘤疗效评价标准(RECIST)1.1是多数实体瘤在计算机断层扫描(CT)上进行疗效评估的标准。然而,在过去几十年中新型治疗方法的出现给疗效评估带来了新的挑战。为了识别截至2017年9月已发表的全文英文论文,我们在PubMed在线数据库进行了文献检索。一些肿瘤治疗方法,如抗血管生成药物、免疫疗法和局部治疗,尽管有非典型的反应模式,但已被证明是有效的。在接受这些治疗的患者中,基于大小的评估,如RECIST 1.1,存在一些局限性,因为它们常常低估疗效。已经提出了一些改良标准,以改善在几种特定情况下的疗效评估,如抗血管生成药物治疗的胃肠道间质瘤、局部消融治疗的肝细胞癌或免疫疗法治疗的实体瘤。除CT之外的图像分析新技术和成像方式,如磁共振成像和正电子发射断层扫描,可能会提供更多信息并弥补基于大小标准的一些局限性。新治疗模式的出现以及个性化治疗的日益增长趋势,在研究和临床环境中都应伴随着疗效评估的相应发展。

相似文献

1
Advances in oncological treatment: limitations of RECIST 1.1 criteria.肿瘤治疗的进展:RECIST 1.1标准的局限性。
Q J Nucl Med Mol Imaging. 2018 Jun;62(2):129-139. doi: 10.23736/S1824-4785.17.03038-2. Epub 2017 Nov 22.
2
Immunotherapy and the role of imaging.免疫疗法与影像学的作用。
Cancer. 2018 Jul 15;124(14):2906-2922. doi: 10.1002/cncr.31349. Epub 2018 Apr 19.
3
Response evaluation for immunotherapy through semi-automatic software based on RECIST 1.1, irRC, and iRECIST criteria: comparison with subjective assessment.基于RECIST 1.1、irRC和iRECIST标准的半自动软件对免疫治疗的疗效评估:与主观评估的比较
Acta Radiol. 2020 Jul;61(7):983-991. doi: 10.1177/0284185119887588. Epub 2019 Nov 18.
4
[Comparison of RECIST 1.1 and iRECIST for Response Evaluation in Solid Tumours].[实体瘤疗效评估中RECIST 1.1与iRECIST的比较]
Klin Onkol. 2017 Winter;30(Supplementum3):32-39. doi: 10.14735/amko20173S32.
5
Response criteria in oncologic imaging: review of traditional and new criteria.肿瘤影像学中的反应标准:传统和新标准的综述。
Radiographics. 2013 Sep-Oct;33(5):1323-41. doi: 10.1148/rg.335125214.
6
Positron emission tomography response criteria in solid tumours criteria for quantitative analysis of [18F]-fluorodeoxyglucose positron emission tomography with integrated computed tomography for treatment response assessment in metastasised solid tumours: All that glitters is not gold.实体瘤正电子发射断层扫描反应标准:用于[18F] - 氟脱氧葡萄糖正电子发射断层扫描与计算机断层扫描相结合以评估转移性实体瘤治疗反应的定量分析标准:闪光的未必都是金子。
Eur J Cancer. 2016 Mar;56:54-58. doi: 10.1016/j.ejca.2015.12.017. Epub 2016 Jan 22.
7
CT imaging findings in patients with advanced hepatocellular carcinoma treated with sorafenib: Alternative response criteria (Choi, European Association for the Study of the Liver, and modified Response Evaluation Criteria in Solid Tumor (mRECIST)) versus RECIST 1.1.索拉非尼治疗晚期肝细胞癌患者的CT成像结果:替代反应标准(Choi标准、欧洲肝脏研究协会标准以及改良实体瘤疗效评价标准(mRECIST))与RECIST 1.1标准的对比
Eur J Radiol. 2016 Jan;85(1):103-112. doi: 10.1016/j.ejrad.2015.10.024. Epub 2015 Nov 5.
8
A Radiologist's Guide to Response Evaluation Criteria in Solid Tumors.实体瘤疗效评价标准的放射科医生指南
Curr Probl Diagn Radiol. 2019 Nov-Dec;48(6):576-585. doi: 10.1067/j.cpradiol.2018.07.016. Epub 2018 Aug 2.
9
Comparison of the RECIST and EORTC PET criteria in the tumor response assessment: a pooled analysis and review.肿瘤反应评估中RECIST和EORTC PET标准的比较:一项汇总分析与综述
Cancer Chemother Pharmacol. 2017 Oct;80(4):729-735. doi: 10.1007/s00280-017-3411-9. Epub 2017 Aug 5.
10
RECIST 1.1 - Standardisation and disease-specific adaptations: Perspectives from the RECIST Working Group.RECIST 1.1 - 标准化与疾病特异性调整:RECIST 工作组的观点
Eur J Cancer. 2016 Jul;62:138-45. doi: 10.1016/j.ejca.2016.03.082. Epub 2016 May 26.

引用本文的文献

1
Physician-guided deep learning model for assessing thymic epithelial tumor volume.用于评估胸腺瘤体积的医生指导深度学习模型。
J Med Imaging (Bellingham). 2025 Jul;12(4):046501. doi: 10.1117/1.JMI.12.4.046501. Epub 2025 Aug 13.
2
An Innovative Approach to Target Lesion Progression in the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1: The Enaworu 25 mm Nadir Rule.实体瘤疗效评价标准(RECIST)1.1中针对靶病灶进展的创新方法:埃纳沃鲁25毫米最低点规则
Cureus. 2025 Apr 21;17(4):e82715. doi: 10.7759/cureus.82715. eCollection 2025 Apr.
3
A Deep Learning-Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records.
一种用于估计转移性乳腺癌患者真实世界无进展生存期的深度学习工作流程:使用去识别化电子健康记录的研究
JMIR Cancer. 2025 May 15;11:e64697. doi: 10.2196/64697.
4
Feasibility of an artificial intelligence system for tumor response evaluation.人工智能系统评估肿瘤反应的可行性研究。
BMC Med Imaging. 2024 Oct 18;24(1):280. doi: 10.1186/s12880-024-01460-9.
5
Dedicated software to harmonize the follow-up of oncological patients.用于协调肿瘤患者随访工作的专用软件。
Res Diagn Interv Imaging. 2024 Sep 24;12:100051. doi: 10.1016/j.redii.2024.100051. eCollection 2024 Dec.
6
Radiomics Analysis for Clinical Decision Support in 177Lu-DOTATATE Therapy of Metastatic Neuroendocrine Tumors using CT Images.使用CT图像对177Lu-DOTATATE治疗转移性神经内分泌肿瘤进行临床决策支持的放射组学分析
J Biomed Phys Eng. 2024 Oct 1;14(5):423-434. doi: 10.31661/jbpe.v0i0.2112-1444. eCollection 2024 Oct.
7
Radiological Assessment of Different Retroperitoneal Lymph Node Measurements in Stage 1 Testicular Cancer Patients: Impact on Clinical Stage and Treatment.1期睾丸癌患者不同腹膜后淋巴结测量值的影像学评估:对临床分期和治疗的影响
J Clin Med. 2024 Sep 19;13(18):5553. doi: 10.3390/jcm13185553.
8
Immune checkpoint inhibitors with or without radiotherapy in metastatic non‑small cell lung cancer: A meta‑analysis and literature review.免疫检查点抑制剂联合或不联合放射治疗用于转移性非小细胞肺癌:一项荟萃分析与文献综述
Oncol Lett. 2024 Aug 9;28(4):489. doi: 10.3892/ol.2024.14622. eCollection 2024 Oct.
9
A European Society of Oncologic Imaging (ESOI) survey on the radiological assessment of response to oncologic treatments in clinical practice.欧洲肿瘤影像学会(ESOI)关于临床实践中肿瘤治疗反应的放射学评估的一项调查。
Insights Imaging. 2023 Dec 20;14(1):220. doi: 10.1186/s13244-023-01568-6.
10
Hepatocellular Carcinoma: Surveillance, Diagnosis, Evaluation and Management.肝细胞癌:监测、诊断、评估与管理
Cancers (Basel). 2023 Oct 24;15(21):5118. doi: 10.3390/cancers15215118.