辐射模型的稳定性和提高可重复性的策略

IF 4.6 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Ahmad Chaddad;Xiaojuan Liang
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引用次数: 0

摘要

放射组学是一个进步的领域,旨在利用图像分析对肿瘤内部和肿瘤之间的多样性进行定量评估。随着时间的推移,它在跟踪肿瘤治疗进展方面大有可为。本综述总结了在确保放射组学分析的稳定性、可重复性和再现性方面的最新进展。它涵盖了影响放射组学过程的各种因素以及可能影响稳定性的潜在变量。研究还提出了提高放射组学特征和模型可靠性的策略。此外,我们还强调了每个放射组学阶段的稳定性对实现临界稳定模型的重要性。此外,我们还讨论了使用放射组学质量评分(RQS)评估放射组学研究的细节,指导研究人员制定合理的研究设计,以促进更稳定的放射组学模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability of Radiomic Models and Strategies to Enhance Reproducibility
Radiomics is a progressive field aiming to quantitatively assess the diversity within and between tumors using image analysis. It holds tremendous promise for tracking tumor treatment progress over time. This review summarizes recent advances in ensuring the stability, repeatability, and reproducibility of radiomic analyses. It covers various factors influencing the radiomics process and potential variables that can affect stability. The study also proposes strategies to enhance the reliability of both radiomic features and models. Additionally, we highlight the importance of stability in each radiomic phase to achieve the cut-off stable model. Moreover, we discuss the details of using the radiomics quality score (RQS) to evaluate radiomics research, guiding researchers in formulating reasonable research designs to promote more stable radiomic models.
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来源期刊
IEEE Transactions on Radiation and Plasma Medical Sciences
IEEE Transactions on Radiation and Plasma Medical Sciences RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
8.00
自引率
18.20%
发文量
109
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