胃癌的放射组学方法：临床决策制定的前沿领域。
Radiomics approaches in gastric cancer: a frontier in clinical decision making.
机构信息
Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
出版信息
Chin Med J (Engl). 2019 Aug 20;132(16):1983-1989. doi: 10.1097/CM9.0000000000000360.
OBJECTIVE
To review the application of radiomics in gastric cancer and its challenges as well as future prospects.
DATA SOURCES
A research for relevant studies were performed in PubMed with the terms of "radiomics," "texture analysis," and "gastric cancer." The search was updated until February 28, 2019.
STUDY SELECTION
All original articles regarding the investigation of texture analysis or radiomics in gastric cancer were retrieved. Only papers written in English were included.
RESULTS
A total of 17 original articles were selected in final. It is shown that radiomics has yielded moderate to excellent performance in a spectrum of respects including differential diagnosis, assessment of histological differential degree, evaluation of tumor stage, prediction of response to therapy, and prognosis in gastric cancer. Yet, a number of challenges are facing both radiomics itself and its application in gastric cancer.
CONCLUSIONS
Radiomics holds great potential in facilitating decision-making in gastric cancer. With the standardization of work-flow and advancement of machine learning methods, radiomics is expected to make great breakthroughs in precision medicine of gastric cancer.
目的
综述影像组学在胃癌中的应用及其面临的挑战与未来展望。
资料来源
检索 PubMed 数据库，检索词为“radiomics”“texture analysis”和“gastric cancer”，检索时间截至 2019 年 2 月 28 日，对影像组学或纹理分析在胃癌中应用的相关研究进行分析。
研究选择
纳入所有关于纹理分析或影像组学在胃癌中应用的原始研究，仅纳入英文文献。
结果
最终共纳入 17 篇原始文献。研究表明，影像组学在胃癌的鉴别诊断、组织学分级程度评估、肿瘤分期评估、治疗反应预测和预后判断等方面均具有中等到优异的性能。然而，影像组学本身及其在胃癌中的应用都面临着诸多挑战。
结论
影像组学在胃癌的决策制定中具有巨大的潜力。随着工作流程的标准化和机器学习方法的进步，影像组学有望在胃癌精准医学中取得重大突破。
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