肾细胞癌与影像组学研究进展
Research Progress on Renal Cell Carcinoma and Radiomics
DOI: 10.12677/acm.2024.1441214, PDF,   
作者: 王梦家, 刘海霞：华北理工大学研究生学院，河北 唐山
关键词: 肾肿瘤；影像组学；人工智能；放射学；Renal Tumors； Radiomics； Artificial Intelligence； Radiology
摘要: 肾脏肿瘤的发病率高，为提高其诊治效果，对影像医学提出了更高的要求，影像组学通过使用计算机算法对病灶内信息进行大量提取转换为定量参数，来表达人类肉眼无法识别的病灶内特质信息，进而为筛查病灶、预测病灶类型、评估治疗预后情况等提供客观依据。本文回顾总结影像组学在肾脏肿瘤领域的进展，包括术前鉴别良恶性、预测恶性肿瘤病理、评估预后效果等多个方面的研究现状，并分析其目前的不足之处，并对其未来发展进行展望。
Abstract: The incidence rate of renal tumors is high. In order to improve the diagnosis and treatment effect, higher requirements are put forward for imaging medicine. By using computer algorithms to extract a large amount of information in the focus and convert it into quantitative parameters, radiomics can express the specific information in the focus that cannot be recognized by the human naked eye, thus providing an objective basis for screening the focus, predicting the focus type, evaluating the treatment prognosis, etc. This article reviews and summarizes the progress of radiomics in the field of renal tumors, including preoperative differentiation of benign and malignant tumors, prediction of malignant tumor pathology, and evaluation of prognostic effects. It also analyzes its current shortcomings and provides prospects for its future development.
文章引用：王梦家, 刘海霞. 肾细胞癌与影像组学研究进展[J]. 临床医学进展, 2024, 14(4): 1706-1712. https://doi.org/10.12677/acm.2024.1441214

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