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肿瘤风险分类和癌症预后中放射组学的作用综述

Review of the Role of Radiomics in Tumour Risk Classification and Prognosis of Cancer.

机构信息

Applied Radiation Therapy Trinity, Discipline of Radiation Therapy, Trinity College, Dublin, Ireland.

National University Cancer Institute, Singapore, Singapore.

出版信息

Anticancer Res. 2020 Jul;40(7):3605-3618. doi: 10.21873/anticanres.14350.

Abstract

Radiomics, an emerging field in radiation therapy, is hypothesized to improve classification of tumour risk and prognosis. Despite encouraging results, there are issues of practicality and interpretation of radiomic data. This study investigates the emerging role of radiomics in tumour risk classification and prognosis of breast and prostate cancer. A literature search was conducted using predefined terms to retrieve studies related to radiomics. Studies were evaluated and selected upon meeting the criteria defined. A total of 19 relevant publications were selected from 63 publications identified. Data from studies revealed significant area under the curve (AUC) values and high discriminative power. Significant AUC values for biochemical recurrence of disease and disease-free survival were reported for prognosis. Radiomics show promising potential in discriminating tumour risk and predicting prognosis of cancer using specified features. It is an alternative to conventional predictive tools and has the ability to improve with the use of existing tools.

摘要

放射组学是放射治疗领域的一个新兴领域,它被认为可以提高肿瘤风险和预后的分类能力。尽管结果令人鼓舞,但放射组学数据在实用性和解释方面仍存在问题。本研究探讨了放射组学在乳腺癌和前列腺癌肿瘤风险分类和预后中的新兴作用。使用预先定义的术语进行了文献检索,以检索与放射组学相关的研究。符合定义标准的研究进行了评估和选择。从 63 篇已确定的论文中选出了 19 篇相关文献。研究数据显示曲线下面积(AUC)值和高区分能力具有显著意义。在预后方面,报道了疾病生化复发和无病生存的显著 AUC 值。放射组学显示出在使用特定特征区分肿瘤风险和预测癌症预后方面有很大的潜力。它是传统预测工具的替代品,并且随着现有工具的使用,它有能力得到改善。

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