Radiomics and radiogenomics for precision radiotherapy.
Radiomics and radiogenomics for precision radiotherapy.
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DOI：
10.1093/jrr/rrx102
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发表时间：
2018-03-01
影响因子：
2
通讯作者：
Li R
中科院分区：
文献类型：
--
作者：
Wu J;Tha KK;Xing L;Li R
成像在癌症的诊断和分期以及放射治疗计划和治疗反应评估中发挥着重要作用。最近，人们对从临床标准护理图像（即放射组学）中提取定量信息产生了浓厚的兴趣，以便提供肿瘤图像表型的更全面的表征。许多研究表明，更深入的放射组学分析可以揭示新的图像特征，从而提供有用的诊断、预后或预测信息，从而改进当前使用的成像指标，例如肿瘤大小和体积。此外，这些成像衍生的表型可以与基因组数据（即放射基因组学）联系起来，以便了解其生物学基础或进一步提高临床结果的预测准确性。在本文中，我们将概述放射组学和放射基因组学，包括其基本原理、技术和临床方面。我们还将介绍临床肿瘤学放射组学和放射基因组学中当前结果的一些示例以及一些新兴范例，重点关注放射治疗中的潜在应用。最后，我们将强调该领域的挑战，并提出放射组学未来可能的方向，以最大限度地发挥其对精准放射治疗的潜在影响。
Imaging plays an important role in the diagnosis and staging of cancer, as well as in radiation treatment planning and evaluation of therapeutic response. Recently, there has been significant interest in extracting quantitative information from clinical standard-of-care images, i.e. radiomics, in order to provide a more comprehensive characterization of image phenotypes of the tumor. A number of studies have demonstrated that a deeper radiomic analysis can reveal novel image features that could provide useful diagnostic, prognostic or predictive information, improving upon currently used imaging metrics such as tumor size and volume. Furthermore, these imaging-derived phenotypes can be linked with genomic data, i.e. radiogenomics, in order to understand their biological underpinnings or further improve the prediction accuracy of clinical outcomes. In this article, we will provide an overview of radiomics and radiogenomics, including their rationale, technical and clinical aspects. We will also present some examples of the current results and some emerging paradigms in radiomics and radiogenomics for clinical oncology, with a focus on potential applications in radiotherapy. Finally, we will highlight the challenges in the field and suggest possible future directions in radiomics to maximize its potential impact on precision radiotherapy.
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NCI研讨会报告：将成像表型与基因组学特征相关联的临床和计算要求。
影响因子：
5
作者：
Colen, Rivka;Foster, Ian;Gatenby, Robert;Giger, Mary Ellen;Gillies, Robert;Gutman, David;Heller, Matthew;Jain, Rajan;Madabhushi, Anant;Madhavan, Subha;Napel, Sandy;Rao, Arvind;Saltz, Joel;Tatum, James;Verhaak, Roeland;Whitman, Gary
通讯作者：
Whitman, Gary
DOI：
10.1073/pnas.1505935112
发表时间：
2015-11-17
影响因子：
11.1
作者：
Fehr, Duc;Veeraraghavan, Harini;Deasy, Joseph O.
通讯作者：
Deasy, Joseph O.
影响因子：
3.8
作者：
Deasy, JO;Blanco, AI;Clark, VH
通讯作者：
Clark, VH
影响因子：
7.7
作者：
Grossmann P;Stringfield O;El-Hachem N;Bui MM;Rios Velazquez E;Parmar C;Leijenaar RT;Haibe-Kains B;Lambin P;Gillies RJ;Aerts HJ
通讯作者：
Aerts HJ
影响因子：
17.1
作者：
Itakura H;Achrol AS;Mitchell LA;Loya JJ;Liu T;Westbroek EM;Feroze AH;Rodriguez S;Echegaray S;Azad TD;Yeom KW;Napel S;Rubin DL;Chang SD;Harsh GR 4th;Gevaert O
通讯作者：
Gevaert O