Models of ultrasonic radiomics and clinical characters for lymph node metastasis assessment in thyroid cancer: a retrospective study

接收机工作特性 医学 甲状腺癌 淋巴结 放射科 淋巴结转移 甲状腺结节 甲状腺癌 转移 特征选择 颈淋巴结 回顾性队列研究 癌症 人工智能 甲状腺 计算机科学 病理 内科学
作者
Hui Zhu,Bing Yu,Yanyan Li,Yuhua Zhang,Juebin Jin,Yao Ai,Xiance Jin,Yan Yang
出处
期刊:PeerJ [PeerJ, Inc.]
卷期号:11: e14546-e14546 被引量:3
标识
DOI:10.7717/peerj.14546
摘要

Background Preoperative prediction of cervical lymph node metastasis in papillary thyroid carcinoma provided a basis for tumor staging and treatment decision. This study aimed to investigate the utility of machine learning and develop different models to preoperatively predict cervical lymph node metastasis based on ultrasonic radiomic features and clinical characteristics in papillary thyroid carcinoma nodules. Methods Data from 400 papillary thyroid carcinoma nodules were included and divided into training and validation group. With the help of machine learning, clinical characteristics and ultrasonic radiomic features were extracted and selected using randomforest and least absolute shrinkage and selection operator regression before classified by five classifiers. Finally, 10 models were built and their area under the receiver operating characteristic curve, accuracy, sensitivity, specificity, positive predictive value and negative predictive value were measured. Results Among the 10 models, RF-RF model revealed the highest area under curve (0.812) and accuracy (0.7542) in validation group. The top 10 variables of it included age, seven textural features, one shape feature and one first-order feature, in which eight were high-dimensional features. Conclusions RF-RF model showed the best predictive performance for cervical lymph node metastasis. And the importance features selected by it highlighted the unique role of higher-dimensional statistical methods for radiomics analysis.
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
1秒前
1秒前
1秒前
四羟基合铝酸钾完成签到,获得积分10
1秒前
3秒前
aka鱼鱼鱼发布了新的文献求助10
4秒前
semon发布了新的文献求助10
4秒前
5秒前
浮浮沉沉完成签到,获得积分10
6秒前
量子星尘发布了新的文献求助10
8秒前
爆米花应助柳絮采纳,获得10
8秒前
Owen应助追寻的白猫采纳,获得10
9秒前
栀鱼发布了新的文献求助10
9秒前
semon完成签到,获得积分20
10秒前
勤奋旭尧发布了新的文献求助10
10秒前
heyihao应助always采纳,获得10
10秒前
迷你的小兔子完成签到,获得积分10
11秒前
斯文败类应助飞羽采纳,获得10
12秒前
JamesPei应助hp571采纳,获得10
13秒前
solo4bird完成签到,获得积分10
13秒前
传奇3应助高兴的平露采纳,获得10
14秒前
hfhkjh完成签到,获得积分10
14秒前
15秒前
16秒前
大模型应助自信的毛豆采纳,获得10
16秒前
奶牛的屎完成签到,获得积分10
17秒前
害羞的鸡翅完成签到,获得积分10
18秒前
19秒前
冬日无畏发布了新的文献求助10
19秒前
huangdq6完成签到 ,获得积分10
20秒前
mob完成签到,获得积分10
21秒前
所所应助一只鱼采纳,获得10
23秒前
24秒前
24秒前
aka鱼鱼鱼完成签到,获得积分10
24秒前
CodeCraft应助科研爱好者采纳,获得10
25秒前
25秒前
25秒前
lm发布了新的文献求助10
26秒前
26秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Economic Geography and Public Policy 900
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
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 3988786
求助须知:如何正确求助?哪些是违规求助? 3531116
关于积分的说明 11252493
捐赠科研通 3269766
什么是DOI,文献DOI怎么找? 1804771
邀请新用户注册赠送积分活动 881870
科研通“疑难数据库(出版商)”最低求助积分说明 809021