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放射学中的放射组学:放射科医生需要了解的技术方面和临床影响。

Radiomics in radiology: What the radiologist needs to know about technical aspects and clinical impact.

作者信息

Ferrari Riccardo, Trinci Margherita, Casinelli Alice, Treballi Francesca, Leone Edoardo, Caruso Damiano, Polici Michela, Faggioni Lorenzo, Neri Emanuele, Galluzzo Michele

机构信息

Emergency Radiology Department, San Camillo-Forlanini Hospital, Rome, Italy.

Dipartimento Di Radiologia, P.O. Colline Dell'Albegna, Orbetello, Grosseto, Italy.

出版信息

Radiol Med. 2024 Dec;129(12):1751-1765. doi: 10.1007/s11547-024-01904-w. Epub 2024 Oct 30.


DOI:10.1007/s11547-024-01904-w
PMID:39472389
Abstract

Radiomics represents the science of extracting and analyzing a multitude of quantitative features from medical imaging, revealing the quantitative potential of radiologic images. This scientific review aims to provide radiologists with a comprehensive understanding of radiomics, emphasizing its principles, applications, challenges, limits, and prospects. The limitations of standardization in current scientific production are analyzed, along with possible solutions proposed by some of the referenced papers. As the continuous evolution of medical imaging is ongoing, radiologists must be aware of new perspectives to play a central role in patient management.

摘要

放射组学是一门从医学影像中提取和分析大量定量特征的科学,揭示了放射影像的定量潜力。这篇综述旨在让放射科医生全面了解放射组学,重点介绍其原理、应用、挑战、局限和前景。分析了当前科研成果中标准化的局限性,并提及了部分参考文献中提出的可能解决方案。随着医学影像的不断发展,放射科医生必须了解新观点,以便在患者管理中发挥核心作用。

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引用本文的文献

[1]
Radiomics Beyond Radiology: Literature Review on Prediction of Future Liver Remnant Volume and Function Before Hepatic Surgery.

J Clin Med. 2025-7-28

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Comprehensive review of pulmonary embolism imaging: past, present and future innovations in computed tomography (CT) and other diagnostic techniques.

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本文引用的文献

[1]
Subgroup analysis of imaging scans, invasive examinations and prognosis in mild-to-moderate isolated foetal cerebral ventriculomegaly: a retrospective study in China.

J Int Med Res. 2024-12

[2]
Bilateral hand dystonia following high-velocity thrust manipulation: a case report.

J Int Med Res. 2024-10

[3]
MRI radiomics in head and neck cancer from reproducibility to combined approaches.

Sci Rep. 2024-4-24

[4]
Role of radiomics in staging liver fibrosis: a meta-analysis.

BMC Med Imaging. 2024-4-12

[5]
Application research of radiomics in colorectal cancer: A bibliometric study.

Medicine (Baltimore). 2024-4-12

[6]
The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods.

Ann Nucl Med. 2024-7

[7]
Application of artificial intelligence radiomics in the diagnosis, treatment, and prognosis of hepatocellular carcinoma.

Comput Biol Med. 2024-5

[8]
Artificial Intelligence in Lung Cancer Imaging: From Data to Therapy.

Crit Rev Oncog. 2024

[9]
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights.

Radiology. 2024-2

[10]
Current status of magnetic resonance imaging radiomics in hepatocellular carcinoma: A quantitative review with Radiomics Quality Score.

World J Gastroenterol. 2024-1-28

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