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影像组学在胶质瘤诊疗中的应用研究进展
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Abstract:
胶质瘤因其侵袭性强、异质性高及预后差异大的特点对精准诊疗提出了严峻挑战。在此背景下，影像组学作为新兴技术，因其无创、可定量解析肿瘤异质性的独特优势，逐渐成为精准医学研究的重要技术手段。该技术通过深度挖掘影像特征，能够精准预测肿瘤分级及分子分型、评估治疗反应和预后预测，为制定个体化诊疗方案提供客观依据。本文将系统综述影像组学在胶质瘤诊疗中的应用进展，重点阐述其在术前分级、疗效评估及生存预后分析三大核心领域的最新研究成果，以期为临床实践提供理论支持。
Gliomas present significant challenges for precision diagnosis and treatment due to their high invasiveness, considerable heterogeneity, and significant variability in prognosis. Against this backdrop, radiomics, as an emerging approach, has gradually become an important tool in precision medicine research, owing to its unique advantages, such as non-invasiveness and the ability to quantitatively analyze tumor heterogeneity. By mining imaging features, this technology can accurately predict tumor grade and molecular subtype, assess treatment response, and predict prognosis, providing an objective foundation for formulating personalized diagnosis and treatment plans. This paper systematically reviews the research progress of radiomics in the diagnosis and treatment of gliomas, focusing on the latest findings in three core areas: preoperative grading, efficacy assessment, and survival prognosis analysis, with the goal of providing theoretical support for clinical practice.
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