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放射肿瘤学家的放射组学:我们准备好出发了吗?

Radiomics for radiation oncologists: are we ready to go?

作者信息

Vaugier Loïg, Ferrer Ludovic, Mengue Laurence, Jouglar Emmanuel

机构信息

Department of Radiation Oncology, Institut de Cancérologie de l'Ouest, Nantes - Saint Herblain, France.

Department of Medical Physics, Institut de Cancérologie de l'Ouest, Nantes - Saint Herblain, France.

出版信息

BJR Open. 2020 Mar 25;2(1):20190046. doi: 10.1259/bjro.20190046. eCollection 2020.

DOI:10.1259/bjro.20190046
PMID:33178967
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7594896/
Abstract

Radiomics have emerged as an exciting field of research over the past few years, with very wide potential applications in personalised and precision medicine of the future. Radiomics-based approaches are still however limited in daily clinical practice in oncology. This review focus on how radiomics could be incorporated into the radiation therapy pipeline, and globally help the radiation oncologist, from the tumour diagnosis to follow-up after treatment. Radiomics could impact on all steps of the treatment pipeline, once the limitations in terms of robustness and reproducibility are overcome. Major ongoing efforts should be made to collect and share data in the most standardised manner possible.

摘要

在过去几年中,放射组学已成为一个令人兴奋的研究领域,在未来的个性化和精准医学中具有非常广泛的潜在应用。然而,基于放射组学的方法在肿瘤学的日常临床实践中仍然有限。本综述重点关注放射组学如何能够纳入放射治疗流程,并在全球范围内帮助放射肿瘤学家,从肿瘤诊断到治疗后的随访。一旦克服了稳健性和可重复性方面的限制,放射组学可能会影响治疗流程的所有步骤。应该做出重大的持续努力,以尽可能标准化的方式收集和共享数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/200c/7594896/1c6891fb9171/bjro.20190046.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/200c/7594896/1c6891fb9171/bjro.20190046.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/200c/7594896/1c6891fb9171/bjro.20190046.g001.jpg

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本文引用的文献

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Delta-radiomics features during radiotherapy improve the prediction of late xerostomia.放疗过程中的 Delta 放射组学特征可改善口干症晚期的预测。
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2
[Adaptive radiotherapy: Strategies and benefits depending on tumor localization].[自适应放射治疗:取决于肿瘤定位的策略与益处]
Cancer Radiother. 2019 Oct;23(6-7):592-608. doi: 10.1016/j.canrad.2019.07.135. Epub 2019 Aug 16.
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Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands.
基于形态测量学的放射组学用于预测神经胶质瘤患者放疗后的治疗反应。
Front Oncol. 2023 Aug 17;13:1139902. doi: 10.3389/fonc.2023.1139902. eCollection 2023.
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Beyond diagnosis: is there a role for radiomics in prostate cancer management?超越诊断:放射组学在前列腺癌管理中是否有作用?
Eur Radiol Exp. 2023 Mar 13;7(1):13. doi: 10.1186/s41747-023-00321-4.
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Predicting Local Failure after Partial Prostate Re-Irradiation Using a Dosiomic-Based Machine Learning Model.使用基于剂量组学的机器学习模型预测前列腺部分再照射后的局部失败
J Pers Med. 2022 Sep 13;12(9):1491. doi: 10.3390/jpm12091491.
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Curative intent Stereotactic Ablative Radiation Therapy (SABR) for treatment of lung oligometastases from head and neck squamous cell carcinoma (HNSCC): a multi-institutional retrospective study.立体定向消融放疗(SABR)治疗头颈部鳞状细胞癌(HNSCC)寡转移肺部病灶的疗效:一项多机构回顾性研究。
Br J Radiol. 2022 May 1;95(1133):20210033. doi: 10.1259/bjr.20210033. Epub 2022 Feb 22.
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Translation of Precision Medicine Research Into Biomarker-Informed Care in Radiation Oncology.精准医学研究向放射肿瘤学中基于生物标志物的护理的转化。
Semin Radiat Oncol. 2022 Jan;32(1):42-53. doi: 10.1016/j.semradonc.2021.09.001.
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Radiat Oncol. 2019 Jul 29;14(1):131. doi: 10.1186/s13014-019-1339-4.
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