• 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

关于磁共振成像(MRI)在预测小儿脑肿瘤幸存者未来认知疾病方面价值的研究有限:一项系统综述及对临床神经影像研究人员的行动呼吁。

Limited research investigating the value of MRI in predicting future cognitive morbidity in survivors of paediatric brain tumours: A systematic-review and call to action for clinical neuroimaging researchers.

作者信息

Griffiths-King Daniel J, Delivett Christopher, Peet Andrew, Waite Jane, Novak Jan

机构信息

Aston Institute of Health and Neurodevelopment, Aston University, Birmingham, United Kingdom.

Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.

出版信息

PLoS One. 2025 Jan 30;20(1):e0314721. doi: 10.1371/journal.pone.0314721. eCollection 2025.

DOI:10.1371/journal.pone.0314721
PMID:39883618
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11781722/
Abstract

Survivors of pediatric brain tumours are at a high risk of cognitive morbidity. Reliable individual-level predictions regarding the likelihood, degree, and affected domains of cognitive impairment would be clinically beneficial. While established risk factors exist, quantitative MRI analysis may enhance predictive value, above and beyond current clinical risk models. This systematic review addresses the question: "Do MRI markers predict future cognitive functioning in pediatric brain tumour survivors?" We conducted a comprehensive search for studies published up to March 2024 that assessed MRI variables as predictors of later neuropsychological outcomes in pediatric brain tumour patients. Only studies that acquired MRI scans at an earlier timepoint to predict subsequent cognitive test performance were included. Surprisingly, few studies met these criteria, with identified research focusing primarily on MRI measures of cerebellar and white matter damage as features in predicting cognitive outcomes. Ultimately, this review reveals a limited literature, characterized by small sample sizes and poor-quality studies, placing findings at high risk of bias. Consequently, the quality and conclusions drawn from the existing research are constrained, especially in the context of prediction studies. Given the significant implications for this clinical population, this review highlights the urgent need for further investigation and a 'call to action' for medical imaging researchers in pediatric neuro-oncology.

摘要

小儿脑肿瘤幸存者存在较高的认知功能障碍风险。对于认知障碍的可能性、程度和受影响领域进行可靠的个体水平预测将具有临床益处。虽然已存在既定的风险因素,但定量MRI分析可能会提高预测价值,超越当前的临床风险模型。本系统评价探讨的问题是:“MRI标志物能否预测小儿脑肿瘤幸存者未来的认知功能?”我们全面检索了截至2024年3月发表的研究,这些研究评估了MRI变量作为小儿脑肿瘤患者后期神经心理结果的预测指标。仅纳入了在较早时间点进行MRI扫描以预测后续认知测试表现的研究。令人惊讶的是,很少有研究符合这些标准,已确定的研究主要集中在将小脑和白质损伤的MRI测量作为预测认知结果的特征。最终,本评价揭示相关文献有限,其特点是样本量小且研究质量差,这使得研究结果存在很高的偏倚风险。因此,现有研究得出的质量和结论受到限制,尤其是在预测研究方面。鉴于这一临床群体的重大影响,本评价强调迫切需要进一步研究,并向小儿神经肿瘤学的医学影像研究人员发出“行动呼吁”。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f95e/11781722/a2f38463a574/pone.0314721.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f95e/11781722/a2f38463a574/pone.0314721.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f95e/11781722/a2f38463a574/pone.0314721.g001.jpg

相似文献

1
Limited research investigating the value of MRI in predicting future cognitive morbidity in survivors of paediatric brain tumours: A systematic-review and call to action for clinical neuroimaging researchers.关于磁共振成像(MRI)在预测小儿脑肿瘤幸存者未来认知疾病方面价值的研究有限:一项系统综述及对临床神经影像研究人员的行动呼吁。
PLoS One. 2025 Jan 30;20(1):e0314721. doi: 10.1371/journal.pone.0314721. eCollection 2025.
2
Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study.基于人工神经网络的 MRI 神经肿瘤学中肿瘤自动定量反应评估:多中心回顾性研究。
Lancet Oncol. 2019 May;20(5):728-740. doi: 10.1016/S1470-2045(19)30098-1. Epub 2019 Apr 2.
3
Seeing through "brain fog": neuroimaging assessment and imaging biomarkers for cancer-related cognitive impairments.透过“脑雾”看问题:癌症相关认知障碍的神经影像学评估和影像学生物标志物。
Cancer Imaging. 2024 Nov 18;24(1):158. doi: 10.1186/s40644-024-00797-2.
4
Assessment of cognitive and neural recovery in survivors of pediatric brain tumors in a pilot clinical trial using metformin.使用二甲双胍评估小儿脑肿瘤幸存者的认知和神经恢复情况的初步临床试验。
Nat Med. 2020 Aug;26(8):1285-1294. doi: 10.1038/s41591-020-0985-2. Epub 2020 Jul 27.
5
Multi-modal neuroimaging signatures predict cognitive decline in multiple sclerosis: A 5-year longitudinal study.多模态神经影像学特征可预测多发性硬化症的认知下降:一项 5 年纵向研究。
Mult Scler Relat Disord. 2024 Jan;81:105379. doi: 10.1016/j.msard.2023.105379. Epub 2023 Dec 12.
6
Microglial activation and tau burden predict cognitive decline in Alzheimer's disease.小胶质细胞激活和 tau 负担可预测阿尔茨海默病的认知能力下降。
Brain. 2020 May 1;143(5):1588-1602. doi: 10.1093/brain/awaa088.
7
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.
8
Magnetic resonance perfusion for differentiating low-grade from high-grade gliomas at first presentation.首次就诊时磁共振灌注成像用于鉴别低级别与高级别胶质瘤
Cochrane Database Syst Rev. 2018 Jan 22;1(1):CD011551. doi: 10.1002/14651858.CD011551.pub2.
9
Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment.用于轻度认知障碍患者阿尔茨海默病所致痴呆早期诊断的结构磁共振成像
Cochrane Database Syst Rev. 2020 Mar 2;3(3):CD009628. doi: 10.1002/14651858.CD009628.pub2.
10
Using diffusion MRI to understand white matter damage and the link between brain microstructure and cognitive deficits in paediatric medulloblastoma patients.运用弥散磁共振成像技术理解小儿髓母细胞瘤患者的白质损伤及大脑微观结构与认知障碍之间的关系。
Eur J Radiol. 2024 Aug;177:111562. doi: 10.1016/j.ejrad.2024.111562. Epub 2024 Jun 13.

本文引用的文献

1
Altered functional connectivity in default mode network maintains attention task performance in school-age children with frontal lobe tumor.默认模式网络中功能连接的改变维持了患有额叶肿瘤的学龄儿童的注意力任务表现。
Appl Neuropsychol Child. 2024 Feb 5:1-11. doi: 10.1080/21622965.2024.2306853.
2
Cognitive deficits and altered functional brain network organization in pediatric brain tumor patients.儿童脑肿瘤患者的认知缺陷和功能脑网络组织改变。
Brain Imaging Behav. 2023 Dec;17(6):689-701. doi: 10.1007/s11682-023-00798-y. Epub 2023 Sep 11.
3
Early recovery of cognition and brain plasticity after surgery in children with low-grade frontal lobe tumors.
低级别额叶肿瘤患儿术后认知功能的早期恢复与脑可塑性
Front Pediatr. 2023 Mar 10;11:1127098. doi: 10.3389/fped.2023.1127098. eCollection 2023.
4
A systematic review of pediatric neuropsychological outcomes with proton versus photon radiation therapy: A call for equity in access to treatment - CORRIGENDUM.质子治疗与光子放射治疗对儿童神经心理结局影响的系统评价:呼吁治疗机会平等——勘误
J Int Neuropsychol Soc. 2023 Mar 1:1. doi: 10.1017/S1355617723000164.
5
Neurocognitive development after pediatric brain tumor - a longitudinal, retrospective cohort study.儿童脑肿瘤后的神经认知发育 - 一项纵向、回顾性队列研究。
Child Neuropsychol. 2024 Feb;30(1):22-44. doi: 10.1080/09297049.2023.2172149. Epub 2023 Feb 6.
6
A high-dimensional mediation model for a neuroimaging mediator: Integrating clinical, neuroimaging, and neurocognitive data to mitigate late effects in pediatric cancer.一种神经影像学中介的高维中介模型:整合临床、神经影像学和神经认知数据,以减轻儿科癌症的后期影响。
Biometrics. 2023 Sep;79(3):2430-2443. doi: 10.1111/biom.13729. Epub 2022 Sep 30.
7
The Current State of Radiotherapy for Pediatric Brain Tumors: An Overview of Post-Radiotherapy Neurocognitive Decline and Outcomes.小儿脑肿瘤放射治疗的现状:放疗后神经认知功能衰退及预后概述
J Pers Med. 2022 Jun 27;12(7):1050. doi: 10.3390/jpm12071050.
8
An Integrated Analysis of Clinical, Genomic, and Imaging Features Reveals Predictors of Neurocognitive Outcomes in a Longitudinal Cohort of Pediatric Cancer Survivors, Enriched with CNS Tumors (Rad ART Pro).临床、基因组和影像学特征的综合分析揭示了富含中枢神经系统肿瘤的儿科癌症幸存者纵向队列中神经认知结果的预测因素(Rad ART Pro)。
Front Oncol. 2022 Jun 23;12:874317. doi: 10.3389/fonc.2022.874317. eCollection 2022.
9
Neurobehavioral Impairment in Pediatric Brain Tumor Survivors: A Meta-Analysis.小儿脑肿瘤幸存者的神经行为损伤:一项荟萃分析
Cancers (Basel). 2022 Jul 4;14(13):3269. doi: 10.3390/cancers14133269.
10
Cancer treatment and survivorship statistics, 2022.2022 年癌症治疗和生存统计。
CA Cancer J Clin. 2022 Sep;72(5):409-436. doi: 10.3322/caac.21731. Epub 2022 Jun 23.