Machine learning as an adjunct to expert observation in classification of radiographic knee osteoarthritis: findings from the Hertfordshire Cohort Study

沃马克 骨关节炎 医学 队列 接收机工作特性 物理疗法 判别式 射线照相术 内科学 外科 机器学习 病理 计算机科学 替代医学
作者
Leo D. Westbury,Nicholas R. Fuggle,Diogo Pereira,Hiroyuki Oka,Noriko Yoshimura,Noriyuki Oe,Sasan Mahmoodi,Mahesan Niranjan,Elaine Dennison,Cyrus Cooper
出处
期刊:Aging Clinical and Experimental Research [Springer Science+Business Media]
卷期号:35 (7): 1449-1457 被引量:3
标识
DOI:10.1007/s40520-023-02428-5
摘要

Abstract Background Osteoarthritis is the most prevalent type of arthritis. Many approaches exist for characterising radiographic knee OA, including machine learning (ML). Aims To examine Kellgren and Lawrence (K&L) scores from ML and expert observation, minimum joint space and osteophyte in relation to pain and function. Methods Participants from the Hertfordshire Cohort Study, comprising individuals born in Hertfordshire from 1931 to 1939, were analysed. Radiographs were assessed by clinicians and ML (convolutional neural networks) for K&L scoring. Medial minimum joint space and osteophyte area were ascertained using the knee OA computer-aided diagnosis (KOACAD) program. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) was administered. Receiver operating characteristic analysis was implemented for minimum joint space, osteophyte, and observer- and ML-derived K&L scores in relation to pain (WOMAC pain score > 0) and impaired function (WOMAC function score > 0). Results 359 participants (aged 71–80) were analysed. Among both sexes, discriminative capacity regarding pain and function was fairly high for observer-derived K&L scores [area under curve (AUC): 0.65 (95% CI 0.57, 0.72) to 0.70 (0.63, 0.77)]; results were similar among women for ML-derived K&L scores. Discriminative capacity was moderate among men for minimum joint space in relation to pain [0.60 (0.51, 0.67)] and function [0.62 (0.54, 0.69)]. AUC < 0.60 for other sex-specific associations. Discussion Observer-derived K&L scores had higher discriminative capacity regarding pain and function compared to minimum joint space and osteophyte. Among women, discriminative capacity was similar for observer- and ML-derived K&L scores. Conclusion ML as an adjunct to expert observation for K&L scoring may be beneficial due to the efficiency and objectivity of ML.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
Yuanchaoyi完成签到,获得积分20
1秒前
务实凡灵完成签到,获得积分10
2秒前
疯了半天完成签到,获得积分10
2秒前
王强完成签到,获得积分10
3秒前
3秒前
dong东包发布了新的文献求助10
4秒前
西瓜完成签到 ,获得积分10
4秒前
小张完成签到,获得积分10
5秒前
EVEN发布了新的文献求助30
6秒前
王冉冉发布了新的文献求助10
6秒前
6秒前
研无止境w发布了新的文献求助10
7秒前
9秒前
奶油泡fu完成签到 ,获得积分10
9秒前
dong东包完成签到,获得积分20
10秒前
10秒前
ED应助cccccc采纳,获得10
10秒前
shangziru发布了新的文献求助10
11秒前
漠之梦完成签到,获得积分20
12秒前
sc完成签到,获得积分10
12秒前
谦让的含海完成签到,获得积分10
12秒前
好运連連完成签到,获得积分10
13秒前
15秒前
liu完成签到,获得积分10
15秒前
飞翔的霸天哥应助Yuanchaoyi采纳,获得30
16秒前
香蕉觅云应助WJH采纳,获得10
17秒前
汉堡包应助研友_LOoomL采纳,获得10
17秒前
小二郎应助Felix采纳,获得10
17秒前
zaphkiel完成签到 ,获得积分10
18秒前
健壮的囧完成签到,获得积分10
19秒前
torch132完成签到,获得积分10
20秒前
桐桐应助阿景采纳,获得10
21秒前
21秒前
震动的平松完成签到 ,获得积分10
21秒前
Ting完成签到 ,获得积分10
22秒前
22秒前
Hello应助王冉冉采纳,获得30
23秒前
Ava应助Jarvi采纳,获得10
23秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038569
求助须知:如何正确求助?哪些是违规求助? 3576279
关于积分的说明 11374944
捐赠科研通 3305979
什么是DOI,文献DOI怎么找? 1819354
邀请新用户注册赠送积分活动 892698
科研通“疑难数据库(出版商)”最低求助积分说明 815048