脑膜瘤的诊断进展与挑战。

IF 3.4 2区 医学 Q2 CLINICAL NEUROLOGY
Expert Review of Neurotherapeutics Pub Date : 2025-10-01 Epub Date: 2025-08-18 DOI:10.1080/14737175.2025.2548327
Stefanie Quach, Matthias Simon
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引用次数: 0

摘要

简介:脑膜瘤发病率的上升,加上在这些肿瘤中观察到的侵袭性行为,提出了重大的临床挑战。准确的诊断和风险分层对有效的患者管理至关重要。涵盖领域:本综述提供了脑膜瘤不断发展的诊断领域的全面概述。它探讨了MRI, CT和PET成像-特别是生长抑素受体2型(SSTR2) PET -在肿瘤检测和分化中的作用。此外,它还讨论了将分子标记物纳入2021年世卫组织分类,并强调了多组学分析在加强肿瘤分类和预后方面的潜力。它还解决了与标准化、临床实施和这些先进诊断工具的可及性相关的挑战。通过PubMed和clinicaltrials.gov进行了文献检索,以确定探索SSTR2 PET使用的临床试验和根据分子诊断结果提供的治疗方法。专家意见:分子数据与先进成像技术的结合为脑膜瘤的综合诊断框架的发展提供了重要的希望。这种方法有可能改善风险分层,并支持个性化治疗策略的实施。然而,要实现这一目标,需要广泛的相关研究和建立大型、高质量的数据集,将成像、分子和临床信息结合起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic advances and challenges in meningioma.

Introduction: The rising incidence of meningiomas, coupled with the aggressive behavior observed in a subset of these tumors, presents significant clinical challenges. Accurate diagnosis and risk stratification are essential for effective patient management.

Areas covered: This review offers a comprehensive overview of the evolving diagnostic landscape for meningiomas. It examines the roles of MRI, CT, and PET imaging - particularly somatostatin receptor type 2 (SSTR2) PET - in tumor detection and differentiation. In addition, it discusses the integration of molecular markers into the 2021 WHO classification and highlights the potential of multiomics analyses to enhance tumor classification and prognostication. It also addresses challenges related to standardization, clinical implementation, and accessibility of these advanced diagnostic tools. A literature search was conducted using PubMed and clinicaltrials.gov to identify clinical trials exploring the use of SSTR2 PET and treatments informed by molecular diagnostic findings.

Expert opinion: The integration of molecular data with advanced imaging techniques offers significant promise for the development of an integrated diagnostic framework for meningiomas. This approach has the potential to improve risk stratification and support the implementation of personalized treatment strategies. However, achieving this will require extensive correlative research and the establishment of large, high-quality datasets that combine imaging, molecular, and clinical information.

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来源期刊
Expert Review of Neurotherapeutics
Expert Review of Neurotherapeutics Medicine-Neurology (clinical)
CiteScore
7.00
自引率
2.30%
发文量
61
审稿时长
4-8 weeks
期刊介绍: Expert Review of Neurotherapeutics (ISSN 1473-7175) provides expert reviews on the use of drugs and medicines in clinical neurology and neuropsychiatry. Coverage includes disease management, new medicines and drugs in neurology, therapeutic indications, diagnostics, medical treatment guidelines and neurological diseases such as stroke, epilepsy, Alzheimer''s and Parkinson''s. Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections: Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results Article Highlights – an executive summary of the author’s most critical points
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