Prediction of Recurrence after Transsphenoidal Surgery for Cushing’s Disease: The Use of Machine Learning Algorithms

医学 接收机工作特性 算法 早晨 经蝶手术 内科学 内分泌学 胃肠病学 数学 腺瘤 垂体腺瘤
作者
Yifan Liu,Xiao-Hai Liu,Xinyu Hong,Penghao Liu,Xinjie Bao,Yong Yao,Bing Xing,LI Yan-sheng,Yi Huang,Huijuan Zhu,Lin Lü,Renzhi Wang,Ming Feng
出处
期刊:Neuroendocrinology [Karger Publishers]
卷期号:108 (3): 201-210 被引量:50
标识
DOI:10.1159/000496753
摘要

<b><i>Background:</i></b> There are no reliable predictive models for recurrence after transsphenoidal surgery (TSS) for Cushing’s disease (CD). <b><i>Objectives:</i></b> This study aimed to develop machine learning (ML)-based predictive models for CD recurrence after initial TSS and to evaluate their performance. <b><i>Method:</i></b> A total of 354 CD patients were included in this retrospective, supervised learning, data mining study. Predictive models for recurrence were developed according to 17 variables using 7 algorithms. Models were evaluated based on the area under the receiver operating characteristic curve (AUC). <b><i>Results:</i></b> All patients were followed up for over 12 months (mean ± SD 43.80 ± 35.61). The recurrence rate was 13.0%. Age (<i>p</i> &#x3c; 0.001), postoperative morning serum cortisol nadir (<i>p</i> = 0.002), and postoperative (<i>p</i> &#x3c; 0.001) and preoperative (<i>p</i> = 0.04) morning adrenocorticotropin (ACTH) level were significantly related to recurrence. AUCs of the 7 models ranged from 0.608 to 0.781. The best performance (AUC = 0.781, 95% CI 0.706, 0.856) appeared when 8 variables were introduced to the random forest (RF) algorithm, which was much better than that of logistic regression (AUC = 0.684, <i>p</i> = 0.008) and that of using only postoperative morning serum cortisol (AUC = 0.635, <i>p</i> &#x3c; 0.001). According to the feature selection algorithms, the top 3 predictors were age, postoperative serum cortisol, and postoperative ACTH. <b><i>Conclusions:</i></b> Using ML-based models for prediction of the recurrence after initial TSS for CD is feasible, and RF performs best. The performance of most of ML-based models was significantly better than that of some conventional models.
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
WangSiwei完成签到,获得积分10
刚刚
3秒前
3秒前
加菲丰丰应助无语采纳,获得20
6秒前
自觉的向日葵完成签到,获得积分10
7秒前
龅牙苏发布了新的文献求助10
7秒前
阿超完成签到 ,获得积分10
7秒前
小周发布了新的文献求助10
7秒前
8秒前
11秒前
大个应助YOUNG采纳,获得10
12秒前
龅牙苏完成签到,获得积分10
13秒前
14秒前
赤元晶则发布了新的文献求助10
14秒前
15秒前
mov完成签到,获得积分10
15秒前
sunwen完成签到,获得积分10
15秒前
16秒前
哈哈完成签到,获得积分10
17秒前
Rondab应助霸气谷蕊采纳,获得10
17秒前
Aurora完成签到,获得积分10
17秒前
是瓜瓜不完成签到,获得积分10
18秒前
zxldylan完成签到,获得积分10
18秒前
yjwang发布了新的文献求助10
19秒前
落后冬云发布了新的文献求助10
19秒前
21秒前
adasdad完成签到 ,获得积分10
21秒前
NexusExplorer应助00采纳,获得10
22秒前
小蘑菇应助LL采纳,获得10
22秒前
momo完成签到,获得积分10
22秒前
23秒前
在水一方应助科研通管家采纳,获得10
23秒前
JamesPei应助科研通管家采纳,获得10
23秒前
Akim应助科研通管家采纳,获得10
23秒前
Orange应助科研通管家采纳,获得10
23秒前
23秒前
23秒前
23秒前
23秒前
24秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
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 3971644
求助须知:如何正确求助?哪些是违规求助? 3516269
关于积分的说明 11181862
捐赠科研通 3251441
什么是DOI,文献DOI怎么找? 1795889
邀请新用户注册赠送积分活动 876131
科研通“疑难数据库(出版商)”最低求助积分说明 805246