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非小细胞肺癌的 PET 影像组学:现状与方法学协调的建议。

PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology.

机构信息

Department of Biomedical Sciences, Humanitas University, via Manzoni, 113-20089, Rozzano, (Milan), Italy.

Radiotherapy and Radiosurgery Unit, Humanitas Clinical and Research Center, via Manzoni, 56-20089, Rozzano, (Milan), Italy.

出版信息

Sci Rep. 2017 Mar 23;7(1):358. doi: 10.1038/s41598-017-00426-y.

DOI:10.1038/s41598-017-00426-y
PMID:28336974
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5428425/
Abstract

Imaging with positron emission tomography (PET)/computed tomography (CT) is crucial in the management of cancer because of its value in tumor staging, response assessment, restaging, prognosis and treatment responsiveness prediction. In the last years, interest has grown in texture analysis which provides an "in-vivo" lesion characterization, and predictive information in several malignances including NSCLC; however several drawbacks and limitations affect these studies, especially because of lack of standardization in features calculation, definitions and methodology reporting. The present paper provides a comprehensive review of literature describing the state-of-the-art of FDG-PET/CT texture analysis in NSCLC, suggesting a proposal for harmonization of methodology.

摘要

正电子发射断层扫描(PET)/计算机断层扫描(CT)成像在癌症管理中至关重要,因为它在肿瘤分期、反应评估、重新分期、预后和治疗反应预测方面具有价值。近年来,人们对纹理分析越来越感兴趣,纹理分析为包括非小细胞肺癌(NSCLC)在内的几种恶性肿瘤提供了一种“体内”病变特征和预测信息;然而,这些研究存在一些缺点和局限性,尤其是由于缺乏特征计算、定义和方法报告的标准化。本文对描述 NSCLC 中 FDG-PET/CT 纹理分析的最新技术的文献进行了全面回顾,提出了一种方法学协调的建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7035/5428425/9b037932b5ca/41598_2017_426_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7035/5428425/6616b5b9950b/41598_2017_426_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7035/5428425/438eb1f94e72/41598_2017_426_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7035/5428425/9b037932b5ca/41598_2017_426_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7035/5428425/6616b5b9950b/41598_2017_426_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7035/5428425/438eb1f94e72/41598_2017_426_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7035/5428425/9b037932b5ca/41598_2017_426_Fig3_HTML.jpg

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本文引用的文献

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Applications and limitations of radiomics.放射组学的应用与局限性。
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Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients.
基于FDG PET/CT的纹理分析参数在心脏结节病诊断中的作用
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Eur J Nucl Med Mol Imaging. 2025 Feb;52(3):1004-1016. doi: 10.1007/s00259-024-06921-5. Epub 2024 Oct 31.
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DSA Quantitative Analysis and Predictive Modeling of Obliteration in Cerebral AVM following Stereotactic Radiosurgery.立体定向放射治疗后脑动静脉畸形闭塞的数字减影血管造影定量分析及预测模型
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