人工智能技术在头颈部多层螺旋CT血管造影诊断颅内动脉瘤中的价值  

Diagnostic value of artificial intelligence technique on intracranial aneurysms in multi-slices spiral CTA for head and neck

作　　者：左晨 刘畅 付丽媛 Zuo Chen;Liu Chang;Fu Liyuan(Department of Radiation and Diagnosis,The 940th Hospital of People's Liberation Army Joint Service Support Force,Fuzhou 350025,China;Department of Radiation and Diagnosis,Fuzong Teaching Hospital(The 900th Hospital),Fujian University of Traditional Chinese Medicine,Fuzhou 350025,China)

机构地区：[1]中国人民解放军联勤保障部队第九〇〇医院放射诊断科,福州350025 [2]福建中医药大学福总教学医院(第九〇〇医院)放射诊断科,福州350025

出　　处：《中国医学装备》2024年第11期35-38,56,共5页China Medical Equipment

基　　金：福建省科技计划项目(2021I0037)。

摘　　要：目的:探讨人工智能(AI)技术在头颈部多层螺旋CT血管造影(CTA)中对颅内动脉瘤(IA)的诊断价值。方法:回顾性分析2022年1月至2023年12月福建中医药大学福总教学医院临床首诊137例疑似颅内动脉瘤患者的病例资料,所有患者均行CTA及数字减影血管造影(DSA)检查,以DSA检查结果为“金标准”,分别通过人工后处理及诊断与头颈CTA智能辅助诊断系统诊断,分析两种技术诊断对颅内动脉瘤的工作效率以及检出效能。结果:137例疑似颅内动脉瘤患者,经DSA检查,112例患者检出139个动脉瘤,AI技术后处理时间(190.25±30.71)s较人工技术(954.37±95.68)s明显缩短,差异有统计学意义(t=92.020,P<0.001),且图像质量较高。人工技术动脉瘤检出102例,与“金标准”的一致性较好(Kappa=0.713),AI技术检出93例,与“金标准”的一致性中等(Kappa=0.518),人工技术与AI技术对有无蛛网膜下腔出血的颅内动脉瘤的诊断准确性均较高,但差异无统计学意义(P>0.05);人工技术和AI技术诊断的大脑前动脉、大脑中动脉、大脑后动脉、前交通动脉、后交通动脉、椎-基底动脉及颈内动脉动脉瘤检出率分别为80.00%vs.80.00%、92.59%vs.81.48%、100.00%vs. 100.00%、84.00%vs. 52.00%、83.33%vs. 0%、80.00%vs. 60.00%、69.23%vs. 57.69%,对小脑后下动脉病变均未检出,总体检出率为78.42%vs. 57.55%,人工技术对病变部位总检出率较AI技术高,差异有统计学意义(x2=13.899,P<0.05)。瘤体直径<3 mm的病变DSA检出有7例、人工技术识别3例、AI技术识别1例;3~5 mm的病变DSA检出有60例、人工技术识别50例、AI技术识别43例;>5 mm的病变DSA检出有72例、人工技术识别63例、AI技术识别63例,差异均无统计学意义(P>0.05)。结论:采用AI技术,能够显著提升颅内动脉瘤诊断的工作效率,并获得更优质的图像后处理效果。尽管AI技术在颅内动脉瘤的诊断中已展现出一定的参考辅助价值,但在诊断准确度�Objective:To explore diagnostic value of artificial intelligence(AI)technique on intracranial aneurysm(IA)in multi-slices computed tomography angiography(CTA)for head and neck.Methods:A retrospective analysis was performed on the cases data of 137 patients with suspected IA who were firstly diagnosed in Fuzong Teaching Hospital of Fujian University of Traditional Chinese Medicine from January 2022 to December 2023,all of them underwent CTA and digital subtraction angiography(DSA)examinations.The results of DSA examination were taken as the“gold standard”.The work efficiency and detection effectiveness of two groups for IA were analyzed through manual postprocessing and diagnosis(manual group)and CTA with intelligent assistant diagnostic system on head and neck(AI group).Results:In 137 patients with suspected IA,the DSA examination showed that there were 139 aneurysms in 112 patients.The post-processing time was(190.25±30.71)s in AI group,which was significantly shorter than that[(954.37±95.68)s]in manual group,and the difference was statistically significant(t=92.020,P<0.001),and the image quality of AI group was higher.In the manual group,102 cases with aneurysms were found,which showed good consistency with the"gold standard"(Kappa=0.713),while the AI group found 93 cases with aneurysms,which showed moderate consistency with the"gold standard"(Kappa=0.518).Both groups had higher diagnostic accuracy for the presence or absence of subarachnoid hemorrhage of intracranial aneurysm,but the difference of that between them was not statistically significant difference(P>0.05).The detection rates of anterior cerebral artery,middle cerebral artery,posterior cerebral artery,anterior communicating artery,posterior communicating artery,vertebral-basilar artery,and artery aneurysms of internal carotid in manual group and AI group were respectively 80.00%vs.80.00%,92.59%vs.81.48%,100.00%vs.100.00%,84.00%vs.52.00%,83.33%vs.0%,80.00%vs.60.00%,69.23%vs.57.69%,and both of them did not found lesions of posterior inferior cer

关 键 词：人工智能(AI) 颅内动脉瘤 头颈部CT血管成像 

分 类 号：R739.41[医药卫生—肿瘤] R816.1[医药卫生—临床医学]