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医学影像中的放射组学:临床管理中的陷阱和挑战。

Radiomics in medical imaging: pitfalls and challenges in clinical management.

机构信息

Medical Oncology Division, Igea SpA, Naples, Italy.

Division of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli", Naples, Italy.

出版信息

Jpn J Radiol. 2022 Sep;40(9):919-929. doi: 10.1007/s11604-022-01271-4. Epub 2022 Mar 28.

Abstract

BACKGROUND

Radiomics and radiogenomics are two words that recur often in language of radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics is the technique of medical images analysis to extract quantitative data that are not detected by human eye.

METHODS

This article is a narrative review on Radiomics in Medical Imaging. In particular, the review exposes the process, the limitations related to radiomics, and future prospects are discussed.

RESULTS

Several studies showed that radiomics is very promising. However, there were some critical issues: poor standardization and generalization of radiomics results, data-quality control, repeatability, reproducibility, database balancing and issues related to model overfitting.

CONCLUSIONS

Radiomics procedure should made considered all pitfalls and challenges to obtain robust and reproducible results that could be generalized in other patients cohort.

摘要

背景

放射组学和放射基因组学是放射科医生、核医学医生和医学物理学家,特别是肿瘤学领域常用的两个词。放射组学是一种医学图像分析技术,用于提取肉眼无法检测到的定量数据。

方法

本文是一篇关于医学影像学中放射组学的叙述性综述。特别地,本文介绍了放射组学的过程、与放射组学相关的局限性以及未来的前景。

结果

几项研究表明放射组学很有前途。然而,也存在一些关键问题:放射组学结果的标准化和泛化程度差、数据质量控制、可重复性、可再现性、数据库平衡以及与模型过拟合相关的问题。

结论

放射组学的过程应考虑到所有的陷阱和挑战,以获得稳健和可重复的结果,这些结果可以在其他患者队列中推广。

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