膝关节影像学在青春期儿童骨龄评估中的应用  

Application of knee joint imaging in bone age assement in adolescent children

作　　者：徐雪琼(综述) 蔡若妍 王秀敏(审校)[2] Xu Xueqiong;Cai Ruoyan;Wang Xiumin(School of Pediatrics,Shanghai Jiao Tong University School of Medicine,Shanghai 200120,China;Hereditary Endocrine and Metabolic Department,Shanghai Children′s Medical Center,Shanghai Jiao Tong University School of Medicine,Shanghai 200127,China)

机构地区：[1]上海交通大学医学院儿科学院,200120 [2]上海交通大学医学院附属上海儿童医学中心内分泌遗传代谢科,200127

出　　处：《国际儿科学杂志》2023年第7期460-463,共4页International Journal of Pediatrics

基　　金：国家自然科学基金(82170910)。

摘　　要：骨龄是骨骼发育规律的量化表示,临床常用左手腕X线片G-P图谱法评估骨龄。在青春期阶段手腕部骨骼已发育成熟,G-P图谱法应用于青春期儿童存在敏感性及特异性不足的问题。而膝关节部位骨骺形态变化贯穿整个青春期,可为青春期儿童骨龄评估提供信息,并且膝关节骨龄评估的可行性已经得到验证。随着人工智能(artificial intelligence,AI)在医学领域的应用,AI判读骨龄的精准性也被认可。青春期儿童骨龄评估的重要用途之一是用于预测剩余生长潜力。基于膝关节影像,探索利用AI建立剩余生长潜力预测模型是对临床更有意义的研究方向。该文将对膝关节解剖特点、膝关节影像学在骨龄判读中的应用及AI在骨龄判读中的研究进展进行综述。Bone age is a quantitative representation of the skeletal development pattern.X-ray imaging of the wrist with the Greulich-Pyle method is commonly used to assess bone age in clinic.In adolescent children,the sensitivity and specificity of the the Greulich-Pyle method are not sufficient because the bones of the wrist are already mature.In contrast,epiphyseal morphological changes in the knee joint throughout adolescence can provide information for the assessment of bone age in adolescent children,and the feasibility of knee joint bone age assessment has been verified.With the application of artificial intelligence(AI)in the medical field,the accuracy of AI interpretation of bone age is also recognized.One of the important uses of bone age assessment in adolescent children is to predict the remaining growth potential.Based on knee images,exploring the use of AI to build a model for predicting residual growth potential is a more meaningful research direction for clinical purposes.This paper reviews the anatomical characteristics of the knee joint,the application of knee joint imaging and the research progress of AI in bone age assessment.

关 键 词：儿童 膝关节 骨龄 医学影像学 人工智能 

分 类 号：R726.8[医药卫生—儿科]