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[1]何柳,邢滔,许定虎,等.人工智能技术在诊断颅内动脉瘤中的临床意义[J].医学研究与战创伤救治(原医学研究生学报),2023,25(2):156-159.[doi:10.3969/j.issn.1672-271X.2023.02.009]
　HE Liu,XING Tao,XU Dinghu,et al.Clinical significance of artificial intelligence technology in the diagnosis of intracranial aneurysms[J].JOURNAL OF MEDICALRESEARCH —COMBAT TRAUMA CARE,2023,25(2):156-159.[doi:10.3969/j.issn.1672-271X.2023.02.009]
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人工智能技术在诊断颅内动脉瘤中的临床意义()
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《医学研究与战创伤救治》（原医学研究生学报）[ISSN:1672-271X/CN:32-1713/R]

卷:
第25卷
期数:
2023年2期
页码:
156-159
栏目:
临床研究
出版日期:
2023-05-31

文章信息/Info

Title:
Clinical significance of artificial intelligence technology in the diagnosis of intracranial aneurysms
作者:
何柳; 邢滔; 许定虎; 余玉盛; 张宏
作者单位：211100南京，南京市江宁医院医学影像科（何柳、邢滔、许定虎、余玉盛、张宏）
Author(s):
HE Liu; XING Tao; XU Dinghu; YU Yusheng; ZHANG Hong
(Department of Radiology,Nanjing Jiangning Hospital,Nanjing 211100,Jiangsu,China)
关键词:
人工智能; 颅内动脉瘤; CTA; 图像后处理
Keywords:
artificial intelligence; intracranial aneurysms; computed tomography angiography; image post-process
分类号:
R743
DOI:
10.3969/j.issn.1672-271X.2023.02.009
文献标志码:
A
摘要:
目的探究CT血管造影（CTA）人工智能（AI）后处理技术在诊断颅内动脉瘤中的临床意义。方法回顾性分析2020年10月至2022年10月因临床疑诊颅内动脉瘤在南京市江宁医院行颅脑CTA及数字减影血管造影（DSA）检查的131例患者临床及影像资料，分别通过数坤CerebralDoc头颈CT智能辅助诊断系统（AI组）与影像人工后处理法（人工组）对2组在工作效率、图像质量以及诊断效能方面进行统计学比较。结果AI组和人工组在平均完成时间[（176.74±17.49）s vs（822.05±103.11）s]、图像质量主观评分[（3.88±0.33）vs（3.64±0.48）]方面差异有统计学意义（P＜0.05）；以DSA检查结果为金标准，AI组、人工组对颅内动脉瘤的检出率分别为91.43％、92.38％，差异无统计学意义（P＞0.05）；AI组与人工组诊断颅内动脉瘤的灵敏度、特异度、准确率、阳性预测值及阴性预测值分别为91.43% vs 92.38%、88.46% vs 80.67%、90.84% vs 90.08%、96.97% vs 95.10%、71.88% vs 72.14%，组间比较差异均无统计学意义（P＞0.05）。结论采用AI技术能够获得更佳的后处理图像及显著提高影像医师的工作效率，并在颅内动脉瘤诊断方面具有精准可靠的辅助作用。
Abstract:
Objective To explore the clinical significance of computed tomography angiography(CTA) artificial intelligence(AI) post-processing technology in the diagnosis of intracranial aneurysm.MethodsThe clinical and imaging data of 131 patients who suspectedclinical diagnosis of intracranial aneurysm and received CTA and DSA examination in our hospital from October 2020 to October 2022 were retrospectively analyzed. The data of working efficiency,image quality and diagnostic efficacy of the two groups werecompared statistically by ShuKun CerebralDoc head and neck CT intelligent auxiliary diagnostic system(AI group) and artificial image post-processing(artificial group), respectively.ResultsThe AIgroup was significantly better than the artificial group in terms of average completion time[(176.74±17.49)s vs (822.05±103.11)s] and subjective score of image quality[(3.88±0.33)vs(3.64±0.48)](P<0.05).The DSA results were considered the gold standard. The detection rates of intracranial aneurysms in the AI group and artificial group were 91.43% and 92.38%.respectively(P>0.05). Thesensitivity,specificity,accuracy,positive predictive value and negative predictive value of AI group and artificial group in diagnosing intracranial aneurysm were 91.43% vs 92.38%, 88.46% vs 80.67%, 90.84% vs 90.08%, 96.97% vs 95.10%, 71.88% vs 72.14%, respectively(P>0.05).ConclusionAI technology can obtain better post-processing images and improve the work efficiency of radiologistssignificantly,and get a precise and reliable auxiliary role in the diagnosis of intracranial aneurysm.

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备注/Memo

备注/Memo:
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更新日期/Last Update: 2023-07-24