基于皮质的儿童脑肿瘤：放射学阅览室中的决策树方法。

AJNR. American journal of neuroradiology Pub Date : 2025-01-08 DOI:10.3174/ajnr.A8477

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

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引用次数: 0

摘要

以皮质为基础的儿童脑肿瘤是一组独特的肿瘤，具有不同的侵袭性生物学行为。由于放射科医生在多学科医疗团队中扮演着不可或缺的角色，因此为这些复杂脑肿瘤的鉴别诊断提供一个临床有用且易于遵循的流程图至关重要。本建议的算法树提供了对区分肿瘤实体的典型成像特征和流行病学数据的最新见解，同时考虑到世界卫生组织的 2021 年分类，并利用当前的分子认识突出了经典的以及新发现的病理亚型：天体母细胞瘤（AB） Angiocentric glioma (AG) 非典型畸胎性横纹肌瘤（ATRT） Central Nervous System tumor (CNS) 中枢神经系统神经母细胞瘤 FOXR2-activated（NB-FOXR2） Desmoplastic infantile glioma/astrocytoma (DIG/DIA) 弥漫性半球胶质瘤、具有少突胶质瘤样特征和核团的弥漫性胶质细胞瘤（DGONC） Dysembryoplastic neuroepithelial tumor（DNET） Embryonal Tumors with Multilayered Rosettes（ETMR） Ependymoma（EP） Focal cortical dysplasia（FCD） Ganglioglioma/gangliocytoma（GG） Infant-type hemispherical glioma（婴儿型半球胶质瘤颅内压（ICP）长期癫痫相关肿瘤（LEATs）小儿弥漫低级别胶质瘤（pLGG） MR 光谱（MRS）多结节空泡神经元瘤（MVNT）总生存期（OS）小儿弥漫高级别胶质瘤（pHGG）。

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

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.

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AJNR. American journal of neuroradiology

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