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肺癌中的放射组学/放射基因组学:基本原理与初步临床结果

Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results.

作者信息

Anagnostopoulos Athanasios K, Gaitanis Anastasios, Gkiozos Ioannis, Athanasiadis Emmanouil I, Chatziioannou Sofia N, Syrigos Konstantinos N, Thanos Dimitris, Chatziioannou Achilles N, Papanikolaou Nikolaos

机构信息

Division of Biotechnology, Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens (BRFAA), 11525 Athens, Greece.

Clinical and Translational Research, Center of Experimental Surgery, Biomedical Research Foundation of the Academy of Athens (BRFAA), 11527 Athens, Greece.

出版信息

Cancers (Basel). 2022 Mar 25;14(7):1657. doi: 10.3390/cancers14071657.

DOI:10.3390/cancers14071657
PMID:35406429
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8997041/
Abstract

Lung cancer is the leading cause of cancer-related deaths worldwide, and elucidation of its complicated pathobiology has been traditionally targeted by studies incorporating genomic as well other high-throughput approaches. Recently, a collection of methods used for cancer imaging, supplemented by quantitative aspects leading towards imaging biomarker assessment termed "radiomics", has introduced a novel dimension in cancer research. Integration of genomics and radiomics approaches, where identifying the biological basis of imaging phenotypes is feasible due to the establishment of associations between molecular features at the genomic-transcriptomic-proteomic level and radiological features, has recently emerged termed radiogenomics. This review article aims to briefly describe the main aspects of radiogenomics, while discussing its basic limitations related to lung cancer clinical applications for clinicians, researchers and patients.

摘要

肺癌是全球癌症相关死亡的主要原因,传统上,对其复杂病理生物学的阐释一直是通过纳入基因组学及其他高通量方法的研究来进行的。最近,一系列用于癌症成像的方法,辅以朝着成像生物标志物评估发展的定量方面(即所谓的“放射组学”),为癌症研究引入了一个新维度。基因组学和放射组学方法的整合,即由于在基因组-转录组-蛋白质组水平上的分子特征与放射学特征之间建立了关联,从而使得识别成像表型的生物学基础成为可能,最近这种整合被称为放射基因组学。这篇综述文章旨在简要描述放射基因组学的主要方面,同时讨论其与肺癌临床应用相关的基本局限性,以供临床医生、研究人员和患者参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc62/8997041/cd67130cd219/cancers-14-01657-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc62/8997041/cd67130cd219/cancers-14-01657-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc62/8997041/cd67130cd219/cancers-14-01657-g001.jpg

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Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features.基于生成对抗网络的病灶聚焦医学图像超分辨率对放射组学特征稳健性的影响。
Sci Rep. 2021 Nov 1;11(1):21361. doi: 10.1038/s41598-021-00898-z.
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Radiomics and functional imaging in lung cancer: the importance of radiological heterogeneity beyond FDG PET/CT and lung biopsy.肺癌的影像组学和功能成像:除了 FDG PET/CT 和肺活检之外,影像学异质性的重要性。
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Identification of High-Risk of Recurrence in Clinical Stage I Non-Small Cell Lung Cancer.
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Bioengineering (Basel). 2025 May 27;12(6):576. doi: 10.3390/bioengineering12060576.
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Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care.将放射基因组学与机器学习整合于肌肉骨骼肿瘤护理中。
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Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma.透明细胞肾细胞癌中缺氧相关生物标志物的放射基因组相关性
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