宁夏医科大学学报2024,Vol.46Issue(9) :911-914.DOI:10.16050/j.cnki.issn1674-6309.2024.09.007

基于人工智能与影像医生对肺结节检出效能的应用价值

Application Value Based on Artificial Intelligence and Imaging Doctor to Pulmonary Nodule Detection Efficiency

贺呈祥 栗欣 张怀瑢
宁夏医科大学学报2024,Vol.46Issue(9) :911-914.DOI:10.16050/j.cnki.issn1674-6309.2024.09.007

基于人工智能与影像医生对肺结节检出效能的应用价值

Application Value Based on Artificial Intelligence and Imaging Doctor to Pulmonary Nodule Detection Efficiency

贺呈祥 1栗欣 2张怀瑢1
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作者信息

  • 1. 宁夏医科大学总医院放射科,宁夏医科大学第一临床医学院,银川 750004
  • 2. 宁夏职业技术学院,银川 750021
  • 折叠

摘要

目的 探讨人工智能与影像医生对肺结节检出的应用价值.方法 回顾性分析接受胸部CT检查病例100例.根据阅片对象不同分成3组,人工阅片和2款人工智能(AI)医学影像辅助诊断软件进行阅片诊断,计算比较3组肺结节的检出率、漏诊率和假阳性率等.结果 100例患者筛查检出肺结节共652枚,2款AI组检出率和不同位置结节检出率均高于人工组(P均<0.05),而2款AI组漏诊率均低于人工组;2款AI组中等结节及小结节检出率高于人工组(P均<0.05),但对大结节检出率各组之间差异无统计学意义(x2=2.891,P=0.086).结论 AI对于肺结节的检出效能高于影像医生,可辅助影像医师进行肺结节的筛查及诊断工作.

Abstract

Objective To explore the application value of artificial intelligence and imaging doctor in pulmonary nodule detection.Methods A retrospective analysis was performed on 100 cases of chest CT.The patients were divided into 3 groups according to the different subjects.Manual film reading and 2 artificial intelligence(AI)medical image assisted diagnosis software were used for film reading diagnosis.The detection rate,missed diagnosis rate and false positive rate of pulmonary nodules in the 3 groups were calculated and compared.Results A total of 652 pulmonary nodules were detected by screening in 100 patients.The detection rate and the detection rate of nodules at different positions in the 2 AI groups were higher than those in the artificial group(P all<0.05),while the missed diagnosis rate in the 2 AI groups was all in the artifiicial group.The detection rates of medium nodules and nodules in the two AI groups were higher than those in the artificial group(Pall<0.05),but there was no significant difference in the detection rates of large nodules among all groups(x2=2.891,P=0.086).Conclusion AI is more effective in detecting lung nodules than imaging doctors,and can assist imaging doctors in screening and diagnosis of lung nodules.

关键词

肺结节/人工智能/检出率

Key words

pulmonary nodules/artificial intelligence/detection rate

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基金项目

宁夏医科大学科学研究基金项目(XM2020188)

出版年

2024
宁夏医科大学学报
宁夏医科大学

宁夏医科大学学报

CSTPCD
影响因子:0.84
ISSN:1674-6309
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