将病理学与放射组学和基因组学相结合用于癌症预后:简要回顾。

Cheng Lu, Rakesh Shiradkar, Zaiyi Liu
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引用次数: 17

摘要

在过去的十年中,计算病理学研究界的重点已经从病理学家为诊断复制病理检查转向从组织病理学图像中解锁和发现“亚视觉”预后图像线索。当我们在数字病理学方面获得更多的知识和经验时,新兴的目标是整合其他组学或模式,这将有助于建立更好的预后检测。本文就病理学与放射组学和基因组学结合用于癌症预后的代表性研究作一综述。它包括:病原学与基因组学的相关性;病原学与基因组学的融合;病理学和放射组学的融合。我们还提出了未来工作的挑战、潜在机遇和途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review.

In the last decade, the focus of computational pathology research community has shifted from replicating the pathological examination for diagnosis done by pathologists to unlocking and discovering "sub-visual" prognostic image cues from the histopathological image. While we are getting more knowledge and experience in digital pathology, the emerging goal is to integrate other-omics or modalities that will contribute for building a better prognostic assay. In this paper, we provide a brief review of representative works that focus on integrating pathomics with radiomics and genomics for cancer prognosis. It includes: correlation of pathomics and genomics; fusion of pathomics and genomics; fusion of pathomics and radiomics. We also present challenges, potential opportunities, and avenues for future work.

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