Suppr超能文献

针对低级别胶质瘤患儿和青少年的基于风险的随访监测成像时间表。

Towards a Risk-Based Follow-Up Surveillance Imaging Schedule for Children and Adolescents with Low-Grade Glioma.

机构信息

Division of Pediatric Hematology-Oncology, First Department of Pediatrics, National and Kapodistrian University of Athens, "Aghia Sophia" Children's Hospital, 11527 Athens, Greece.

Department Neuro-Oncology, Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS Utrecht, The Netherlands.

出版信息

Curr Oncol. 2024 Nov 18;31(11):7330-7351. doi: 10.3390/curroncol31110541.

Abstract

The frequency and duration of imaging surveillance in children and adolescents with pediatric low-grade gliomas (pLGGs) aims for the early detection of recurrence or progression. Although surveillance of pLGGs is performed routinely, it is not yet standardized. The aim of the current review is to provide a comprehensive synthesis of published studies regarding the optimal frequency, intervals, and duration of surveillance. Several key influencing factors were identified (age, the extent of resection, the tumor location, the histological type, and specific molecular characteristics). However, the lack of consistent definitions of recurrence/progression and the extent of resection meant that it was not possible to perform a meta-analysis of the data from the 18 included articles. This review highlights the need for updating the definition of these terms for uniform and global use both in routine clinical practice as well as in upcoming trials. Thus, future studies on the heterogenous group of pLGGs will allow for the better tailoring of both the frequency and duration of imaging surveillance protocols in relevant settings.

摘要

儿童和青少年低级别脑胶质瘤(pLGGs)患者的影像学监测频率和持续时间旨在早期发现复发或进展。尽管常规进行 pLGGs 的监测,但尚未标准化。本综述的目的是综合分析关于最佳监测频率、间隔和持续时间的已发表研究。确定了几个关键的影响因素(年龄、切除程度、肿瘤位置、组织学类型和特定的分子特征)。然而,由于缺乏对复发/进展和切除程度的一致定义,因此无法对 18 篇纳入文章的数据进行荟萃分析。本综述强调需要更新这些术语的定义,以便在常规临床实践和即将进行的试验中实现统一和全球使用。因此,未来对 pLGGs 异质群体的研究将有助于更好地调整相关环境下影像学监测方案的频率和持续时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c50/11592938/5ef911ee51bc/curroncol-31-00541-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验