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肾癌影像组学的临床应用现状与展望

The current status and prospects of radiomics in the clinical application of renal cell carcinoma

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影像组学是指采用多种技术从医学影像图像中提取高通量的定量特征,以提高影像诊断和预后预测的准确性,并用于指导临床决策.近年来,越来越多的研究开始探索影像组学在肾癌诊疗中的应用,扩大了其在肾癌临床实践中的指导作用.在肾癌领域,影像组学主要应用于肾癌的诊断与鉴别诊断、预测肾癌的病理特征、预测肾癌的疗效预后,以及预测肾癌基因突变分子生物标志物等方面.本文简要介绍影像组学的基本流程,并重点对肾癌影像组学的临床应用现状和研究进展作一综述.
Radiomics refers to the use of multiple techniques to extract high-throughput quantitative features from medical images to improve the accuracy of imaging diagnosis and prognosis prediction,and to guide clinical decision making.In recent years,more and more studies have begun to explore the application of radiomics in the diagnosis and treatment of renal cell carcinoma(RCC),expanding its guiding role in the clinical practice of RCC.In the field of RCC,radiomics is mainly used in the diagnosis and differential diagnosis of RCC,predicting the pathological characteristics,the efficacy and prognosis,and molecular biomarkers of RCC gene mutations.This article briefly introduces the basic process of radiomics,and focuses on a review of the clinical application status and research progress of radiomics in RCC.

Carcinoma,Renal cellRadiomicsArtificial intelligenceComputed tomography

何犇、卓晖、唐伟

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成都市第三人民医院泌尿外科/西南交通大学附属医院泌尿外科,成都 610031

重庆医科大学附属第一医院泌尿外科,重庆 400042

癌,肾细胞 影像组学 人工智能 计算机体层成像

2024

中华泌尿外科杂志
中华医学会

中华泌尿外科杂志

CSTPCD北大核心
影响因子:1.628
ISSN:1000-6702
年,卷(期):2024.45(10)