Suppr超能文献

儿童皮质型脑肿瘤:放射科阅片中的决策树方法

Cortically Based Brain Tumors in Children: A Decision-Tree Approach in the Radiology Reading Room.

作者信息

Rameh V, Löbel U, D'Arco F, Bhatia A, Mankad K, Poussaint T Y, Alves C A

机构信息

From the Department of Radiology (V.R., T.Y.P., C.A.A.), Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts

Department of Radiology (U.L., F.D., K.M.), Great Ormond Street Hospital for Children, National Health Service Foundation Trust, London, UK.

出版信息

AJNR Am J Neuroradiol. 2025 Jan 8;46(1):11-23. doi: 10.3174/ajnr.A8477.

Abstract

Cortically based brain tumors in children constitute a unique set of tumors with variably aggressive biologic behavior. Because radiologists play an integral role on the multidisciplinary medical team, a clinically useful and easy-to-follow flow chart for the differential diagnoses of these complex brain tumors is essential. This proposed algorithm tree provides the latest insights into the typical imaging characteristics and epidemiologic data that differentiate the tumor entities, taking into perspective the 2021 World Health Organization's classification and highlighting classic as well as newly identified pathologic subtypes by using current molecular understanding.

摘要

儿童脑皮质源性脑肿瘤是一组具有不同侵袭性生物学行为的独特肿瘤。由于放射科医生在多学科医疗团队中发挥着不可或缺的作用,因此,制定一份对这些复杂脑肿瘤进行鉴别诊断的临床实用且易于遵循的流程图至关重要。该算法树提出了最新见解,阐述了区分不同肿瘤实体的典型影像学特征和流行病学数据,参考了2021年世界卫生组织的分类,并运用当前的分子认识突出了经典以及新发现的病理亚型。

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