Artificial intelligence in medical imaging: application progress in the therapeutic response evaluation and prediction of lung cancer

LI Qian; ZHANG Yuwei; YE Zhaoxiang

doi:10.19732/j.cnki.2096-6210.2023.01.001

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Artificial intelligence in medical imaging: application progress in the therapeutic response evaluation and prediction of lung cancer

更新时间：2025-12-15

- Artificial intelligence in medical imaging: application progress in the therapeutic response evaluation and prediction of lung cancer
- Vol. 32, Issue 1, Pages: 1-11(2023)
- 作者机构：
  
  1. 天津市肿瘤防治重点实验室,天津,300060
  2. 天津医科大学肿瘤医院放射科，国家恶性肿瘤临床医学研究中心,天津,300060
  3. 天津市恶性肿瘤临床医学研究中心,天津,300060
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2023.01.001
  CLC：
- Published Online：28 February 2023，
  
  Published：28 February 2023
- 稿件说明：
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李倩,张宇威,叶兆祥. 影像人工智能在肺癌疗效评估和预测中的应用进展[J]. 肿瘤影像学, 2023, 32(1): 1-11 https://doi.

org/10.19732/j.cnki.2096-6210.2023.01.001
李倩,张宇威,叶兆祥. 影像人工智能在肺癌疗效评估和预测中的应用进展[J]. 肿瘤影像学, 2023, 32(1): 1-11 https://doi. DOI： 10.19732/j.cnki.2096-6210.2023.01.001.

org/10.19732/j.cnki.2096-6210.2023.01.001 DOI：

摘要

外科手术切除、放化疗、靶向治疗和免疫治疗是当前肺癌治疗的主要手段。肺癌治疗方案的选择一般依赖于组织病理学分类、免疫组织化学指标、TNM分期和基因突变状态等，但即使临床特征相近的患者对同一治疗方案的应答亦存在明显的个体差异。早期评估和预测各项治疗方案的疗效对改善患者预后尤为重要。人工智能可以对影像进行全面、定量的分析，在肺癌诊疗中显示出重要价值和潜力。本文就影像人工智能在肺癌疗效评估和预测中的最新进展进行述评。

Abstract

Surgery

radiotherapy

chemotherapy

targeted therapy and immunotherapy are the regular treatments for lung cancer. Considering individuals response differently even with the same histopathologic type

immunohistochemical index

TNM stage or mutation status

it is critical to find a robust biomarker to early predict therapeutic responses. Artificial intelligence could analyze medical images thoroughly and quantitatively and shows huge applicable potential in lung cancer diagnosis and prognosis. In this paper

the application of artificial intelligence in the therapeutic response evaluation and prediction of lung cancer were reviewed and discussed.

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