基于影像组学的肿瘤生物学追踪：利用影像组学质量评分的系统评价。
Tracking tumor biology with radiomics: A systematic review utilizing a radiomics quality score.
机构信息
Department of Radiation Oncology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, The Netherlands; The-D-Lab: Decision Support for Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, The Netherlands.
Department of Radiation Oncology, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, The Netherlands; The-D-Lab: Decision Support for Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, The Netherlands; MAASTRO Clinic, Department of Radiation Oncology, Maastricht, The Netherlands.
出版信息
Radiother Oncol. 2018 Jun;127(3):349-360. doi: 10.1016/j.radonc.2018.03.033. Epub 2018 May 18.
INTRODUCTION
In this review we describe recent developments in the field of radiomics along with current relevant literature linking it to tumor biology. We furthermore explore the methodologic quality of these studies with our in-house radiomics quality scoring (RQS) tool. Finally, we offer our vision on necessary future steps for the development of stable radiomic features and their links to tumor biology.
METHODS
Two authors (S.S. and H.W.) independently performed a thorough systematic literature search and outcome extraction to identify relevant studies published in MEDLINE/PubMed (National Center for Biotechnology Information, NCBI), EMBASE (Ovid) and Web of Science (WoS). Two authors (S.S, H.W) separately and two authors (J.v.T and E.d.J) concordantly scored the articles for their methodology and analyses according to the previously published radiomics quality score (RQS).
RESULTS
In summary, a total of 655 records were identified till 25-09-2017 based on the previously specified search terms, from which n = 236 in MEDLINE/PubMed, n = 215 in EMBASE and n = 204 from Web of Science. After determining full article availability and reading the available articles, a total of n = 41 studies were included in the systematic review. The RQS scoring resulted in some discrepancies between the reviewers, e.g. reviewer H.W scored 4 studies ≥50%, reviewer S.S scored 3 studies ≥50% while reviewers J.v.T and E.d.J scored 1 study ≥50%. Up to nine studies were given a quality score of 0%. The majority of studies were scored below 50%.
DISCUSSION
In this study, we performed a systematic literature search linking radiomics to tumor biology. All but two studies (n = 39) revealed that radiomic features derived from ultrasound, CT, PET and/or MR are significantly associated with one or several specific tumor biologic substrates, from somatic mutation status to tumor histopathologic grading and metabolism. Considerable inter-observer differences were found with regard to RQS scoring, while important questions were raised concerning the interpretability of the outcome of such scores.
简介
在这篇综述中，我们描述了放射组学领域的最新进展，并结合当前与肿瘤生物学相关的文献进行了综述。我们还使用内部放射组学质量评分（RQS）工具探讨了这些研究的方法学质量。最后，我们对开发稳定的放射组学特征及其与肿瘤生物学联系的未来步骤提出了展望。
方法
两位作者（S.S. 和 H.W.）独立进行了全面的系统文献检索和结果提取，以确定在 MEDLINE/PubMed（美国国家生物技术信息中心，NCBI）、EMBASE（Ovid）和 Web of Science（WoS）中发表的相关研究。两位作者（S.S.、H.W.）分别对文章的方法和分析进行评分，并由两位作者（J.v.T 和 E.d.J.）进行一致性评分，根据之前发表的放射组学质量评分（RQS）进行评分。
结果
根据之前指定的搜索词，截至 2017 年 9 月 25 日，共检索到 655 篇记录，其中 MEDLINE/PubMed 有 n=236 篇，EMBASE 有 n=215 篇，Web of Science 有 n=204 篇。在确定全文可用性并阅读了可用文章后，共有 n=41 项研究纳入系统综述。RQS 评分导致了审稿人之间的一些差异，例如，审稿人 H.W. 将 4 项研究评为 ≥50%，审稿人 S.S. 将 3 项研究评为 ≥50%，而审稿人 J.v.T 和 E.d.J. 仅将 1 项研究评为 ≥50%。多达 9 项研究的质量评分为 0%。大多数研究的评分低于 50%。
讨论
在这项研究中，我们进行了一项系统的文献检索，将放射组学与肿瘤生物学联系起来。除了两项研究（n=39）外，其余研究均表明，来自超声、CT、PET 和/或 MRI 的放射组学特征与一种或多种特定的肿瘤生物学基质显著相关，从体细胞突变状态到肿瘤组织病理学分级和代谢。在 RQS 评分方面发现了相当大的观察者间差异，同时对这些评分结果的可解释性提出了重要问题。
Zotero 插件