王卫东, 郞锦义. 基于生命/影像组学和人工智能的精确放射治疗:思考与展望[J]. 中国肿瘤临床, 2018, 45(12): 604-608. DOI: 10.3969/j.issn.1000-8179.2018.12.366
引用本文: 王卫东, 郞锦义. 基于生命/影像组学和人工智能的精确放射治疗:思考与展望[J]. 中国肿瘤临床, 2018, 45(12): 604-608. DOI: 10.3969/j.issn.1000-8179.2018.12.366
Wang Weidong, Lang Jinyi. Reflection and prospect: precise radiation therapy based on bio-omics/radiomics and artificial intelligence technology[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2018, 45(12): 604-608. DOI: 10.3969/j.issn.1000-8179.2018.12.366
Citation: Wang Weidong, Lang Jinyi. Reflection and prospect: precise radiation therapy based on bio-omics/radiomics and artificial intelligence technology[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2018, 45(12): 604-608. DOI: 10.3969/j.issn.1000-8179.2018.12.366

基于生命/影像组学和人工智能的精确放射治疗:思考与展望

Reflection and prospect: precise radiation therapy based on bio-omics/radiomics and artificial intelligence technology

  • 摘要: 基于影像和生命组学、区块链、数字分身、从智能云到智能边缘计算、大数据及人工智能的新理论、新技术,正在给肿瘤放疗带来颠覆性变革,治疗精准度和疗效将获得突破性进展,智能组学放疗有望解决多年来放疗面临的困局。在放疗决策上,通过组学技术可以获得肿瘤和个体的全部遗传信息及生物学特征;在放疗靶区的确定上,通过影像组学技术可以获得病变部位的全部遗传学及微环境信息;在放疗反应评价和随访方面,通过实时动态观察整个放疗过程中各种组学信息的变化及时优化放疗计划和监控肿瘤。其优势体现在精准决策,避免了“盲人摸象”和以偏概全的失误;全息靶区避免了人工勾画靶区带来的不确定性,全程、动态的组学评价可使肿瘤复发早发现早处理。

     

    Abstract: New developments in radiomics and bio-omics, blockchain, digital twins, cloud-to-edge computing, big data, and artificialintelligence are revolutionizing cancer radiotherapy, with breakthroughs in treatment accuracy and efficacy. Smart omics-guided radiotherapy will eventually resolve the problem of radiotherapy. In the radiotherapy decision-making, the whole genetic information andbiological characteristics of tumors and individuals can be obtained through the methods of omics technology. For the determinationof radiotherapy targets, through the image technique it provides the full genetics and microenvironmental information of the cancerlesion. For treatment response evaluation and follow-up, it can timely optimize the radiotherapy plan and monitor the tumor by realtime dynamic observation of changes in various histological information throughout the treatment process. The advantages of thetreatment model are reflected in accurate decision-making, avoiding "blind people's touch" and partial errors. Holographic target identification avoids the uncertainty caused by manual delineation of targets, and full and dynamic histological evaluation can promote theearly detection of tumor recurrence.

     

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