亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Artificial intelligence assistance improves the accuracy and efficiency of intracranial aneurysm detection with CT angiography

医学 数字减影血管造影 置信区间 放射科 诊断准确性 血管造影 金标准(测试) 动脉瘤 病变 内科学 外科
作者
Xin Wei,Jing Jiang,Wenting Cao,Han Yu,Hao Deng,Jinhua Chen,Shanwei Bai,Zhiming Zhou
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:149: 110169-110169 被引量:20
标识
DOI:10.1016/j.ejrad.2022.110169
摘要

The aim of this study was to evaluate whether a novel head and neck artificial intelligence (AI)-assisted diagnostic system based on a three-dimensional convolutional neural network (3D-CNN) could improve the accuracy, efficiency and working mode of intracranial aneurysm (IA) detection.A total of 212 patients who underwent computed tomography angiography (CTA) and digital subtraction angiography (DSA) were retrospectively included. We used three diagnostic modes to detect IAs with CTA: AI, physicians and AI + physicians. Taking the diagnostic results of DSA as the gold standard, the sensitivity, specificity, accuracy, mean reporting time, and interobserver consistency of the three diagnostic modes were calculated and compared at the patient and lesion levels.Of 212 patients, 179 were diagnosed with IAs by DSA, and 224 IAs were analyzed. The sensitivity, specificity and accuracy of the AI system in diagnosing aneurysms were 84.9% (95% confidence interval [CI], 78.9-89.5%), 18.2% (95% CI, 8.2-34.8%) and 74.5% (95% CI, 68.3-80.0%) at the patient-level, and 77.2% (95% CI, 71.3-82.3%), 14.0% (95% CI, 6.2-27.6%) and 67.0% (95% CI, 61.2-72.4%) at the lesion-level, respectively. With AI assistance, junior physicians had the similar diagnostic performance as senior physicians at the patient (sensitivity 95.0% vs. 95.0%, specificity 48.5% vs. 57.6%, accuracy 87.7% vs. 89.2%, p = 0.690) and lesion levels (sensitivity 88.0% vs. 89.7%, specificity 32.0% vs. 38.0%, accuracy 77.8% vs. 80.3%, p = 1.000), especially for aneurysms < 5 mm (sensitivity 83.2% vs. 87.6%, specificity 60.0% vs. 63.2%, accuracy 75.4% vs. 78.9%, p = 0.424). The reporting efficiency of junior and senior physicians improved by 20.7% (141.1 ± 52.6 s to 111.9 ± 46.3 s, p = 0.004) and 18.8% (113.2 ± 42.5 s to 91.9 ± 41.2 s, p = 0.011), respectively.This 3D-CNN-based AI system significantly improved the accuracy and efficiency of physician detection of IA. The AI + physicians work mode could have a major influence on daily clinical practice and clinical research.
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
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
DarianaEderer完成签到,获得积分10
1秒前
KamilahKupps完成签到,获得积分10
28秒前
aaaaa888888888完成签到,获得积分10
46秒前
53秒前
ahah发布了新的文献求助10
58秒前
领导范儿应助xwz626采纳,获得10
58秒前
MchemG应助科研通管家采纳,获得30
1分钟前
汉堡包应助科研通管家采纳,获得10
1分钟前
ahah完成签到,获得积分20
1分钟前
1分钟前
xwz626发布了新的文献求助10
1分钟前
SciGPT应助xwz626采纳,获得10
1分钟前
1分钟前
1分钟前
xwz626发布了新的文献求助10
1分钟前
英姑应助xwz626采纳,获得10
2分钟前
2分钟前
年轻花卷完成签到,获得积分10
2分钟前
xwz626发布了新的文献求助10
2分钟前
TrungHieuPham完成签到,获得积分10
2分钟前
李健应助科研通管家采纳,获得10
3分钟前
zzz完成签到 ,获得积分10
3分钟前
4分钟前
李爱国应助自然如冰采纳,获得10
4分钟前
4分钟前
4分钟前
ruanyousong发布了新的文献求助10
4分钟前
xin完成签到,获得积分10
5分钟前
6分钟前
loii完成签到,获得积分0
6分钟前
6分钟前
ruanyousong完成签到,获得积分10
6分钟前
6分钟前
自然如冰发布了新的文献求助10
6分钟前
Akim应助小小采纳,获得10
6分钟前
小小完成签到,获得积分10
6分钟前
Zhou发布了新的文献求助10
6分钟前
6分钟前
大个应助tfop采纳,获得10
6分钟前
小小发布了新的文献求助10
6分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6444446
求助须知:如何正确求助?哪些是违规求助? 8258368
关于积分的说明 17591080
捐赠科研通 5503672
什么是DOI,文献DOI怎么找? 2901402
邀请新用户注册赠送积分活动 1878421
关于科研通互助平台的介绍 1717736