实用医学影像杂志2024,Vol.25Issue(6) :450-453.DOI:10.16106/j.cnki.cn14-1281/r.2024.06.012

人工智能评估下数字X射线摄影鉴别诊断孤立性肺结节良恶性的价值

Value of digital X-radiography in the differential diagnosis of benign and malignant isolated pulmonary nodules

娄晓蕊
实用医学影像杂志2024,Vol.25Issue(6) :450-453.DOI:10.16106/j.cnki.cn14-1281/r.2024.06.012

人工智能评估下数字X射线摄影鉴别诊断孤立性肺结节良恶性的价值

Value of digital X-radiography in the differential diagnosis of benign and malignant isolated pulmonary nodules

娄晓蕊1
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作者信息

  • 1. 457001 河南省濮阳市第三人民医院体检中心
  • 折叠

摘要

目的 探究人工智能评估下数字X射线摄影(DR)鉴别诊断孤立性肺结节良恶性的价值.方法 回顾性分析我院 2020 年 12 月至 2023 年 12 月孤立性肺结节患者 80 例,均行DR诊断.采用随机数字法进行分组,分别是医师评估(医师评估影像学结果)、人工智能评估(使用人工智能评估影像学结果),以病理诊断结果为金标准,分析DR在良恶性结节鉴别诊断中的价值.结果 80例患者中,结节直径是0.9~2.7 cm,平均(1.7±0.3)cm;结节部位:26 例右肺上叶,13例右肺中叶,10 例右肺下叶,19 例左肺上叶,12 例左肺下叶;良恶性:43 良性结节,37 例恶性结节,其中 32 例腺癌,6 例鳞癌.人工智能检出率(90%)明显高于常规诊断(78%),差异有统计学意义(P<0.05).人工智能灵敏度、特异度、准确率、阳性预测值、阴性预测值均高于(HR)-T2WI、IVIM-D、常规诊断.常规诊断Kappa值=0.58,人工智能诊断Kappa值=0.92.恶性结节组患者的钙化率、分叶征率、毛刺征率均高于良性结节组,差异有统计学意义(P<0.05).结论 DR可鉴别诊断良恶性孤立性肺结节,应用人工智能评估能显著提高诊断效能.

Abstract

Objective To explore the value of digital X-radiography(DR)in the differential diagnosis of benign and malignant isolated pulmonary nodules.Methods A retrospective analysis included 80 patients with isolated pulmonary nodules from December 2020 to December 2023 in our hospital,all of whom were diagnosed with DR.The random number method was used,including physician assessment(physician evaluating imaging results)and artificial intelligence(AI)assessment(imaging results),and the value of DR in the differential diagnosis of benign and malignant nodules was analyzed based on the pathological diagnosis results.Results Among the 80 patients,the nodule diameter was 0.9~2.7cm,mean(1.7±0.3)cm.26 cases nodules were in upper right lobe,13 cases nodules were in right middle lobe,10 cases nodules were in right lower lobe,19 nodules were in left upper lobe,12 nodules were in left lower lobe.43 cases had benign nodules,37 cases had malignant nodules,including 32 cases with adenocarcinoma and 6 cases with squamous carcinoma.The detection rate of artificial intelligence(90.00%)was significantly higher than that of conventional diagnosis(78%),and the difference was statistically significant(P<0.05).The AI sensitivity,specificity,accuracy,positive predictive value,and negative predictive value were all higher than HR-T2WI,IVIM-D,and conventional diagnosis.Routine diagnosis Kappa value was=0.58 and AI diagnosis Kappa value was=0.92.The calcification rate,exfoliation rate,and burr sign rate of patients with malignant nodules were higher than those of benign nodules,and the difference was significant(P<0.05).Conclusion DR can differentially diagnose benign and malignant isolated pulmonary nodules,and artificial intelligence evaluation can significantly improve diagnostic efficiency.

关键词

数字X射线摄影/良恶性结节/孤立性肺结节/人工智能

Key words

Digital X-ray photography/Benign and malignant nodules/Isolated pulmonary nodules/Artificial intelligence

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出版年

2024
实用医学影像杂志
中华医学会山西分会,山西省人民医院

实用医学影像杂志

影响因子:0.735
ISSN:1009-6817
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