肿瘤学家视角下的肺癌影像组学
Radiomics in lung cancer for oncologists.
作者信息
de la Pinta Carolina, Barrios-Campo Nuria, Sevillano David
机构信息
Department of Radiation Oncology, Ramón y Cajal Hospital, Madrid, Spain.
Department of Biomedical Engineering, Madrid Polytechnic University, Madrid, Spain.
出版信息
J Clin Transl Res. 2020 Sep 2;6(4):127-134. eCollection 2020 Oct 29.
UNLABELLED
Radiomics has revolutionized the world of medical imaging. The aim of this review is to guide oncologists in radiomics and its applications in diagnosis, prediction of response and damage, prediction of survival, and prognosis in lung cancer. In this review, we analyzed published literature on PubMed and MEDLINE with papers published in the last 10 years. We included papers in English language with information about radiomics features and diagnostic, predictive, and prognosis of radiomics in lung cancer. All citations were evaluated for relevant content and validation.
RELEVANCE FOR PATIENTS
The evolution of technology allows the development of computer algorithms that facilitate the diagnosis and evaluation of response after different oncological treatments and their non-invasive follow-up.
未标注
放射组学已经彻底改变了医学成像领域。本综述的目的是指导肿瘤学家了解放射组学及其在肺癌诊断、反应和损伤预测、生存预测及预后方面的应用。在本综述中，我们分析了过去10年在PubMed和MEDLINE上发表的文献。我们纳入了英文论文，这些论文包含有关放射组学特征以及肺癌放射组学的诊断、预测和预后方面的信息。对所有引用文献进行了相关内容和验证评估。
对患者的意义
技术的发展使得计算机算法得以开发，这些算法有助于不同肿瘤治疗后的诊断和反应评估以及非侵入性随访。
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