• 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
A Position Statement on the Utility of Interval Imaging in Standard of Care Brain Tumour Management: Defining the Evidence Gap and Opportunities for Future Research.关于间隔成像在脑肿瘤标准治疗管理中的效用的立场声明:界定证据差距和未来研究机会
Front Oncol. 2021 Feb 9;11:620070. doi: 10.3389/fonc.2021.620070. eCollection 2021.
2
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
3
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
4
The effectiveness and cost-effectiveness of carmustine implants and temozolomide for the treatment of newly diagnosed high-grade glioma: a systematic review and economic evaluation.卡莫司汀植入剂与替莫唑胺治疗新诊断的高级别胶质瘤的有效性和成本效益:一项系统评价与经济学评估
Health Technol Assess. 2007 Nov;11(45):iii-iv, ix-221. doi: 10.3310/hta11450.
5
Functional brain imaging: an evidence-based analysis.功能性脑成像:基于证据的分析。
Ont Health Technol Assess Ser. 2006;6(22):1-79. Epub 2006 Dec 1.
6
Intraoperative imaging technology to maximise extent of resection for glioma: a network meta-analysis.术中影像技术最大化脑胶质瘤切除术范围:一项网络荟萃分析。
Cochrane Database Syst Rev. 2021 Jan 4;1(1):CD013630. doi: 10.1002/14651858.CD013630.pub2.
7
Intraoperative imaging technology to maximise extent of resection for glioma.术中成像技术以最大化胶质瘤的切除范围。
Cochrane Database Syst Rev. 2018 Jan 22;1(1):CD012788. doi: 10.1002/14651858.CD012788.pub2.
8
Interval brain imaging for adults with cerebral glioma.成年脑胶质瘤患者的间期脑成像
Cochrane Database Syst Rev. 2019 Dec 24;12(12):CD013137. doi: 10.1002/14651858.CD013137.pub2.
9
10
Early palliative interventions for improving outcomes in people with a primary malignant brain tumour and their carers.早期姑息治疗干预对改善原发性脑恶性肿瘤患者及其照护者结局的影响。
Cochrane Database Syst Rev. 2022 Jan 6;1(1):CD013440. doi: 10.1002/14651858.CD013440.pub2.

引用本文的文献

1
Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review.利用人工智能驱动的神经影像生物标志物进行自闭症谱系障碍的早期检测和社会功能预测:一项系统综述。
Healthcare (Basel). 2025 Jul 22;13(15):1776. doi: 10.3390/healthcare13151776.
2
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice.神经肿瘤学中的人工智能反应评估(AI-RANO),第 2 部分:标准化、验证和良好临床实践的建议。
Lancet Oncol. 2024 Nov;25(11):e589-e601. doi: 10.1016/S1470-2045(24)00315-2.
3
Gadolinium Reduction in Brain Tumor Imaging: A Paradigm Shift in Diagnostic Strategies.脑肿瘤成像中的钆减少:诊断策略的范式转变
Radiology. 2024 Aug;312(2):e240653. doi: 10.1148/radiol.240653.
4
Imaging timing after surgery for glioblastoma: an evaluation of practice in Great Britain and Ireland (INTERVAL-GB)- a multi-centre, cohort study.术后胶质母细胞瘤的影像学检查时机:英国和爱尔兰的实践评估(INTERVAL-GB)——一项多中心队列研究。
J Neurooncol. 2024 Sep;169(3):517-529. doi: 10.1007/s11060-024-04705-3. Epub 2024 Aug 6.
5
Glioblastoma and radiotherapy: A multicenter AI study for Survival Predictions from MRI (GRASP study).胶质母细胞瘤和放疗:来自 MRI 的生存预测的多中心人工智能研究(GRASP 研究)。
Neuro Oncol. 2024 Jun 3;26(6):1138-1151. doi: 10.1093/neuonc/noae017.
6
Influence of MRI Follow-Up on Treatment Decisions during Standard Concomitant and Adjuvant Chemotherapy in Patients with Glioblastoma: Is Less More?胶质母细胞瘤患者标准同步放化疗及辅助化疗期间MRI随访对治疗决策的影响:少即是多?
Cancers (Basel). 2023 Oct 13;15(20):4973. doi: 10.3390/cancers15204973.
7
The value of arterial spin labelling (ASL) perfusion MRI in the assessment of post-treatment progression in adult glioma: A systematic review and meta-analysis.动脉自旋标记(ASL)灌注磁共振成像在评估成人胶质瘤治疗后进展中的价值:一项系统评价和荟萃分析。
Neurooncol Adv. 2023 Sep 30;5(1):vdad122. doi: 10.1093/noajnl/vdad122. eCollection 2023 Jan-Dec.
8
Evaluating automated longitudinal tumor measurements for glioblastoma response assessment.评估用于胶质母细胞瘤反应评估的自动纵向肿瘤测量。
Front Radiol. 2023 Sep 7;3:1211859. doi: 10.3389/fradi.2023.1211859. eCollection 2023.
9
Depression and anxiety in glioma patients.胶质瘤患者的抑郁和焦虑
Neurooncol Pract. 2023 Apr 20;10(4):335-343. doi: 10.1093/nop/npad019. eCollection 2023 Aug.
10
Immuno-PET Imaging of CD69 Visualizes T-Cell Activation and Predicts Survival Following Immunotherapy in Murine Glioblastoma.免疫 PET 显像 CD69 可观察到 T 细胞激活,并预测免疫治疗后小鼠脑胶质瘤的生存情况。
Cancer Res Commun. 2023 Jul 6;3(7):1173-1188. doi: 10.1158/2767-9764.CRC-22-0434. eCollection 2023 Jul.

本文引用的文献

1
GliMR: Cross-Border Collaborations to Promote Advanced MRI Biomarkers for Glioma.GliMR:促进胶质瘤高级磁共振成像生物标志物的跨境合作。
J Med Biol Eng. 2021;41(2):115-125. doi: 10.1007/s40846-020-00582-z. Epub 2020 Dec 3.
2
Glioblastoma post-operative imaging in neuro-oncology: current UK practice (GIN CUP study).神经肿瘤学中脑胶质瘤术后影像学检查:英国当前实践(GIN CUP 研究)。
Eur Radiol. 2021 May;31(5):2933-2943. doi: 10.1007/s00330-020-07387-3. Epub 2020 Nov 5.
3
On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities.论人工智能在放射学中的可解释性:挑战与机遇
Radiol Artif Intell. 2020 May 27;2(3):e190043. doi: 10.1148/ryai.2020190043.
4
Interval brain imaging for adults with cerebral glioma.成年脑胶质瘤患者的间期脑成像
Cochrane Database Syst Rev. 2019 Dec 24;12(12):CD013137. doi: 10.1002/14651858.CD013137.pub2.
5
Artificial Intelligence in the Management of Glioma: Era of Personalized Medicine.人工智能在胶质瘤管理中的应用:个性化医疗时代
Front Oncol. 2019 Aug 14;9:768. doi: 10.3389/fonc.2019.00768. eCollection 2019.
6
Machine learning and glioma imaging biomarkers.机器学习与脑胶质瘤影像标志物
Clin Radiol. 2020 Jan;75(1):20-32. doi: 10.1016/j.crad.2019.07.001. Epub 2019 Jul 29.
7
Optimizing Postoperative Surveillance of Pediatric Low-Grade Glioma Using Tumor Behavior Patterns.利用肿瘤行为模式优化小儿低级别胶质瘤的术后监测。
Neurosurgery. 2020 Feb 1;86(2):288-297. doi: 10.1093/neuros/nyz072.
8
Emerging Applications of Artificial Intelligence in Neuro-Oncology.人工智能在神经肿瘤学中的新兴应用。
Radiology. 2019 Mar;290(3):607-618. doi: 10.1148/radiol.2018181928. Epub 2019 Jan 22.
9
Utility of Early Postoperative Magnetic Resonance Imaging After Glioblastoma Resection: Implications on Patient Survival.胶质母细胞瘤切除术后早期磁共振成像的效用:对患者生存的影响
World Neurosurg. 2018 Dec;120:e1171-e1174. doi: 10.1016/j.wneu.2018.09.027. Epub 2018 Sep 12.
10
Post-gadolinium 3-dimensional spatial, surface, and structural characteristics of glioblastomas differentiate pseudoprogression from true tumor progression.钆后 3 维空间、表面和结构特征可区分胶质母细胞瘤假性进展与真性肿瘤进展。
J Neurooncol. 2018 Sep;139(3):731-738. doi: 10.1007/s11060-018-2920-7. Epub 2018 Jun 7.

关于间隔成像在脑肿瘤标准治疗管理中的效用的立场声明:界定证据差距和未来研究机会

A Position Statement on the Utility of Interval Imaging in Standard of Care Brain Tumour Management: Defining the Evidence Gap and Opportunities for Future Research.

作者信息

Booth Thomas C, Thompson Gerard, Bulbeck Helen, Boele Florien, Buckley Craig, Cardoso Jorge, Dos Santos Canas Liane, Jenkinson David, Ashkan Keyoumars, Kreindler Jack, Huskens Nicky, Luis Aysha, McBain Catherine, Mills Samantha J, Modat Marc, Morley Nick, Murphy Caroline, Ourselin Sebastian, Pennington Mark, Powell James, Summers David, Waldman Adam D, Watts Colin, Williams Matthew, Grant Robin, Jenkinson Michael D

机构信息

School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.

Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, United Kingdom.

出版信息

Front Oncol. 2021 Feb 9;11:620070. doi: 10.3389/fonc.2021.620070. eCollection 2021.

DOI:10.3389/fonc.2021.620070
PMID:33634034
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7900557/
Abstract

OBJECTIV E

To summarise current evidence for the utility of interval imaging in monitoring disease in adult brain tumours, and to develop a position for future evidence gathering while incorporating the application of data science and health economics.

METHODS

Experts in 'interval imaging' (imaging at pre-planned time-points to assess tumour status); data science; health economics, trial management of adult brain tumours, and patient representatives convened in London, UK. The current evidence on the use of interval imaging for monitoring brain tumours was reviewed. To improve the evidence that interval imaging has a role in disease management, we discussed specific themes of data science, health economics, statistical considerations, patient and carer perspectives, and multi-centre study design. Suggestions for future studies aimed at filling knowledge gaps were discussed.

RESULTS

Meningioma and glioma were identified as priorities for interval imaging utility analysis. The "monitoring biomarkers" most commonly used in adult brain tumour patients were standard structural MRI features. Interval imaging was commonly scheduled to provide reported imaging prior to planned, regular clinic visits. There is limited evidence relating interval imaging in the absence of clinical deterioration to management change that alters morbidity, mortality, quality of life, or resource use. Progression-free survival is confounded as an outcome measure when using structural MRI in glioma. Uncertainty from imaging causes distress for some patients and their caregivers, while for others it provides an important indicator of disease activity. Any study design that changes imaging regimens should consider the potential for influencing current or planned therapeutic trials, ensure that opportunity costs are measured, and capture indirect benefits and added value.

CONCLUSION

Evidence for the value, and therefore utility, of regular interval imaging is currently lacking. Ongoing collaborative efforts will improve trial design and generate the evidence to optimise monitoring imaging biomarkers in standard of care brain tumour management.

摘要

目的

总结目前关于间隔期成像在监测成人大脑肿瘤疾病中的效用的证据,并在纳入数据科学和卫生经济学应用的同时,为未来的证据收集确定一个方向。

方法

“间隔期成像”(在预先计划的时间点进行成像以评估肿瘤状态)、数据科学、卫生经济学、成人大脑肿瘤试验管理方面的专家以及患者代表在英国伦敦召开会议。对目前使用间隔期成像监测脑肿瘤的证据进行了综述。为了提高间隔期成像在疾病管理中发挥作用的证据,我们讨论了数据科学、卫生经济学、统计考量、患者及护理人员观点以及多中心研究设计等具体主题。讨论了旨在填补知识空白的未来研究建议。

结果

脑膜瘤和神经胶质瘤被确定为间隔期成像效用分析的重点。成人大脑肿瘤患者最常用的“监测生物标志物”是标准结构MRI特征。间隔期成像通常安排在计划的定期门诊就诊之前提供报告成像。在没有临床恶化的情况下,间隔期成像与改变发病率、死亡率、生活质量或资源使用的管理变化之间的证据有限。在神经胶质瘤中使用结构MRI时,无进展生存期作为一项结果指标存在混淆。成像带来的不确定性给一些患者及其护理人员造成困扰,而对另一些人来说,它是疾病活动的重要指标。任何改变成像方案的研究设计都应考虑影响当前或计划中的治疗试验的可能性,确保衡量机会成本,并获取间接益处和附加值。

结论

目前缺乏关于定期间隔期成像的价值及效用的证据。正在进行的合作努力将改进试验设计,并产生证据以优化护理标准脑肿瘤管理中的监测成像生物标志物。