人工智能在PET/CT恶性肿瘤疗效预测和预后评估中的应用  

Application of artificial intelligence in PET/CT for the therapy prediction and prognosis evaluation of malignant tumors

作　　者：吕小迎 兰晓莉[1] Lyu Xiaoying;Lan Xiaoli(Department of Nuclear Medicine,Union Hospital,Tongji Medical College,Huazhong University of Science and Technology Hubei Province Key Laboratory of Molecular Imaging,Wuhan 430022,China)

机构地区：[1]华中科技大学同济医学院附属协和医院核医学科、分子影像湖北省重点实验室,武汉430022

出　　处：《中华核医学与分子影像杂志》2022年第12期754-758,共5页Chinese Journal of Nuclear Medicine and Molecular Imaging

摘　　要：PET在恶性肿瘤的诊断、治疗和预后评估等方面都起着重要作用。人工智能是利用计算机和先进技术模拟人类智能行为和批判性思维的科学领域,其中机器学习和深度学习在医学中的应用最为广泛。大量可用数据及算法和计算能力的进步使人工智能在图像分析领域中发挥越来越重要的作用。该文综述了目前人工智能在PET/CT恶性肿瘤预测和预后中的应用研究,并提出了该领域目前面临的挑战以及对未来的展望。PET plays an important role in diagnosis,staging,treatment response assessment,recurrence surveillance,follow-up and treatment guidance for the malignancy.Artificial intelligence is the scientific fields using computer and other advanced technologies to simulate human intelligent behaviors and critical thinking,among which machine learning and deep learning are most widely used in medicine.Available big data,the progress of computer science and computational capabilities facilitate the application of artificial intelligence in image analysis.This article reviews the current clinical application research of artificial intelligence in PET/CT imaging used for prognosis and prediction of malignant tumors,and puts forward current challenges and prospects for the future.

关 键 词：肿瘤 人工智能 预后 正电子发射断层显像术 体层摄影术 X线计算机 发展趋势 

分 类 号：R730.44[医药卫生—肿瘤]