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
刚刚
大模型应助隐形哈密瓜采纳,获得10
刚刚
刚刚
若一发布了新的文献求助30
1秒前
MWL完成签到,获得积分10
1秒前
2秒前
文静的飞柏完成签到 ,获得积分10
3秒前
领导范儿应助锤锤锤采纳,获得10
3秒前
金枪鱼子发布了新的文献求助10
3秒前
Cheeseeee11发布了新的文献求助10
4秒前
大泓淇发布了新的文献求助10
4秒前
不安流沙完成签到 ,获得积分10
4秒前
左岸SUPER发布了新的文献求助20
6秒前
kk发布了新的文献求助10
6秒前
xiaoputaor完成签到 ,获得积分10
8秒前
8秒前
万能图书馆应助albus采纳,获得10
8秒前
y88发布了新的文献求助10
9秒前
芊芊墨客完成签到,获得积分10
10秒前
fang发布了新的文献求助20
12秒前
15秒前
万能图书馆应助飘逸蘑菇采纳,获得10
15秒前
16秒前
XLL小绿绿应助无心的绿竹采纳,获得10
17秒前
zxcdsw应助yunyang采纳,获得10
18秒前
大个应助傲喆采纳,获得10
18秒前
个性的抽象给个性的抽象的求助进行了留言
18秒前
三维码完成签到,获得积分10
18秒前
18秒前
19秒前
天天快乐应助贝加尔湖畔采纳,获得10
20秒前
21秒前
共享精神应助真伤脑筋呐采纳,获得10
21秒前
22秒前
yiming完成签到,获得积分10
22秒前
锤锤锤发布了新的文献求助10
22秒前
搜集达人应助竹林听风采纳,获得10
23秒前
24秒前
科研陈完成签到,获得积分10
25秒前
达瓦里氏完成签到 ,获得积分10
25秒前
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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7637373
求助须知:如何正确求助?哪些是违规求助? 9210973
关于积分的说明 19757588
捐赠科研通 7204676
什么是DOI,文献DOI怎么找? 3275647
关于科研通互助平台的介绍 2437328
邀请新用户注册赠送积分活动 2272834