1 Overview

Medical big data science research such as radiomics has soared in recent years and found many potential applications in medical physics. In contrast to the tremendous interests in these exciting new directions, comprehensive learning materials and books have been scarce on these topics, especially those that tailor toward the radiation oncology and radiology communities. Despite an abundance of research papers and some review articles, there have not been many comprehensive books devoted to these special audiences. Two first‐edition books published in 2019 by the Taylor and Francis Group, Radiomics and Radiogenomics (edited by Ruijiang Li, Lei Xing, Sandy Napel, and Daniel L. Rubin) and Big Data in Radiation Oncology (edited by Jun Deng and Lei Xing), have opportunely filled this void, and provided a comprehensive review as well as valuable insights on these key new advances. The chapter authors for the two books are reputable experts on related research areas, including many leading figures such as Robert Gillies, Maryellen Giger, Joseph Deasy, Issam Naqa, Laurence Court, and Charles Mayo. The books belong to an ongoing book series titled “Imaging in Medical Diagnosis and Therapy” that was first initiated over a decade ago by a group of senior leaders in the medical physics community, with each volume to address “a rapidly advancing area of medical imaging or radiation therapy of importance to medical physicists”.

中文翻译：

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放射线学和放射基因组学以及放射肿瘤学大数据的评论。

1概述

近年来，诸如放射医学之类的医学大数据科学研究飞速发展，并在医学物理学中发现了许多潜在的应用。与对这些令人兴奋的新方向的巨大兴趣形成对照的是，关于这些主题的综合学习材料和书籍很少，尤其是那些针对放射肿瘤学和放射学界的主题。尽管有大量的研究论文和一些评论文章，但针对这些特殊读者的书籍并不多。泰勒和弗朗西斯集团（Taylor and Francis Group）于2019年出版了两本第一版的书《放射学和放射基因组学》（李瑞江，李磊，桑迪·纳佩尔和丹尼尔·鲁宾编辑）和《放射肿瘤学大数据》。（由Jun Deng和Lei Xing编辑），恰好填补了这一空白，并对这些关键的新进展提供了全面的回顾以及有价值的见解。这两本书的章节作者是相关研究领域的著名专家，包括许多主要人物，例如罗伯特·吉利斯，玛丽·艾伦·吉格，约瑟夫·德西，伊萨姆·纳卡，劳伦斯·科特和查尔斯·梅奥。这些书籍属于正在进行中的系列丛书，题为“医学诊断和治疗中的影像学”，该丛书是由医学物理学界的一群高级领导者于十年前首次发起的，每册都涉及“医学影像学的快速发展领域”。或对医学物理学家很重要的放射疗法”。