头颈部恶性肿瘤计算机断层扫描的优先放射组学参数:系统综述

Y. Vasilev, Olga G. Nanova, I. A. Blokhin, R. V. Reshetnikov, A. Vladzymyrskyy, O. Omelyanskaya
{"title":"头颈部恶性肿瘤计算机断层扫描的优先放射组学参数:系统综述","authors":"Y. Vasilev, Olga G. Nanova, I. A. Blokhin, R. V. Reshetnikov, A. Vladzymyrskyy, O. Omelyanskaya","doi":"10.17816/dd623240","DOIUrl":null,"url":null,"abstract":"Radiomics is the newest and promising direction in modern radiographic diagnostics. The number of head and neck cancer studies with employing radiomics is increasing every year. We performed a systematic review of recent publications (20212023) on computed tomography (CT)-based head and neck malignancies. The search for articles was carried out in the PubMed database. The basic characteristics of the selected articles were extracted and their quality was assessed with RQS 2.0 [3] and the modified QUADAS-CAD questionnaire [17]. We assessed the level of reproducibility of radiomic parameters selected for predictive models in different studies. Eleven articles were selected for our review. In most cases, there was a high risk of systematic error associated with the data imbalance in terms of demographic parameters and level of pathologies. The range of RQS 2.0 scores for the included articles varies from 19.44% to 50.00% of the maximum possible score. The main problems leading to researches quality decreasing are the lack of external validation of the results (73% of the analyzed articles) and the lack of data accessibility and transparency (82%). Inter-study reproducibility of radiomics parameters is low due to the wide variety of techniques used for image acquisition, image post-processing, extraction and statistical processing of radiomics parameters. The basic block of the stable radiomics parameters should be created for the method introducing into clinical practice. The radiomics methods standardization and creating an open radiomics database creation is necessary for this purpose.","PeriodicalId":34831,"journal":{"name":"Digital Diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Priority radiomics parameters for computed tomography in head and neck malignancies: a systematic review\",\"authors\":\"Y. Vasilev, Olga G. Nanova, I. A. Blokhin, R. V. Reshetnikov, A. Vladzymyrskyy, O. Omelyanskaya\",\"doi\":\"10.17816/dd623240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Radiomics is the newest and promising direction in modern radiographic diagnostics. The number of head and neck cancer studies with employing radiomics is increasing every year. We performed a systematic review of recent publications (20212023) on computed tomography (CT)-based head and neck malignancies. The search for articles was carried out in the PubMed database. The basic characteristics of the selected articles were extracted and their quality was assessed with RQS 2.0 [3] and the modified QUADAS-CAD questionnaire [17]. We assessed the level of reproducibility of radiomic parameters selected for predictive models in different studies. Eleven articles were selected for our review. In most cases, there was a high risk of systematic error associated with the data imbalance in terms of demographic parameters and level of pathologies. The range of RQS 2.0 scores for the included articles varies from 19.44% to 50.00% of the maximum possible score. The main problems leading to researches quality decreasing are the lack of external validation of the results (73% of the analyzed articles) and the lack of data accessibility and transparency (82%). Inter-study reproducibility of radiomics parameters is low due to the wide variety of techniques used for image acquisition, image post-processing, extraction and statistical processing of radiomics parameters. The basic block of the stable radiomics parameters should be created for the method introducing into clinical practice. The radiomics methods standardization and creating an open radiomics database creation is necessary for this purpose.\",\"PeriodicalId\":34831,\"journal\":{\"name\":\"Digital Diagnostics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Diagnostics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17816/dd623240\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Diagnostics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17816/dd623240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

放射组学是现代放射诊断中最新且前景广阔的方向。采用放射组学进行头颈部癌症研究的数量每年都在增加。我们对近期(2021-2023 年)发表的基于计算机断层扫描(CT)的头颈部恶性肿瘤研究论文进行了系统回顾。文章在 PubMed 数据库中进行搜索。我们提取了所选文章的基本特征,并使用 RQS 2.0 [3] 和修改后的 QUADAS-CAD 问卷 [17] 对其质量进行了评估。我们评估了不同研究中预测模型所选放射学参数的可重复性水平。我们选择了 11 篇文章进行审查。在大多数情况下,由于人口学参数和病理程度方面的数据不平衡,系统误差的风险很高。收录文章的 RQS 2.0 得分范围从最高可能得分的 19.44% 到 50.00% 不等。导致研究质量下降的主要问题是缺乏对研究结果的外部验证(占所分析文章的 73%)以及缺乏数据的可获取性和透明度(占 82%)。由于图像采集、图像后处理、提取和放射组学参数统计处理所使用的技术种类繁多,放射组学参数的研究间重现性很低。为将放射组学方法引入临床实践,应建立稳定的放射组学参数基础模块。为此,有必要对放射组学方法进行标准化,并创建一个开放的放射组学数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Priority radiomics parameters for computed tomography in head and neck malignancies: a systematic review
Radiomics is the newest and promising direction in modern radiographic diagnostics. The number of head and neck cancer studies with employing radiomics is increasing every year. We performed a systematic review of recent publications (20212023) on computed tomography (CT)-based head and neck malignancies. The search for articles was carried out in the PubMed database. The basic characteristics of the selected articles were extracted and their quality was assessed with RQS 2.0 [3] and the modified QUADAS-CAD questionnaire [17]. We assessed the level of reproducibility of radiomic parameters selected for predictive models in different studies. Eleven articles were selected for our review. In most cases, there was a high risk of systematic error associated with the data imbalance in terms of demographic parameters and level of pathologies. The range of RQS 2.0 scores for the included articles varies from 19.44% to 50.00% of the maximum possible score. The main problems leading to researches quality decreasing are the lack of external validation of the results (73% of the analyzed articles) and the lack of data accessibility and transparency (82%). Inter-study reproducibility of radiomics parameters is low due to the wide variety of techniques used for image acquisition, image post-processing, extraction and statistical processing of radiomics parameters. The basic block of the stable radiomics parameters should be created for the method introducing into clinical practice. The radiomics methods standardization and creating an open radiomics database creation is necessary for this purpose.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.30
自引率
0.00%
发文量
44
审稿时长
5 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信