Application of Artificial Intelligence CT in the Diagnosis and Assessment of Osteoporotic Vertebral Compression Fractures
Objective To explore the application value of artificial intelligence electronic computed tomography(CT)in the diagnosis and assessment of osteoporotic vertebral compression fractures(OVCF).Methods A total of 220 osteoporosis patients suspected of needing CT scan for OVCF at the Third Hospital of Shijiazhuang from September 2021 to October 2022 were included as the study subjects.After CT scan,magnetic resonance imaging(MRI)was performed on the patients.The results of MRI examination were used as the gold standard to clarify the Denis classification of OVCF and compression fractures,and to analyze the application value of artificial intelligence CT in the diagnosis of OVCF and the evaluation of fracture degree.Results The MRI examination results showed that among 220 suspected OVCF patients,179 were confirmed as positive,accounting for 81.36％.41 cases were negative,accounting for 18.64％.With the results of MRI examination as the gold standard,the Kappa consistency measurement showed that the consistency between the results of conventional CT examination in the diagnosis of OVCF and the results of MRI diagnosis was general(Kappa=0.612,P＜0.001).The consistency between the positive and negative results of artificial intelligence CT examination and MRI diagnosis of OVCF was good(Kappa=0.793,P＜0.001).The accuracy and sensitivity of artificial intelligence CT examination in diagnosing OVCF positivity were higher than those of conventional CT examination(P＜0.05).MRI examination results were used as the gold standard,the accuracy of conventional CT in evaluating the Denis classification of OVCF patients was 77.85％(123/158).According to Kappa consistency measurement,the consistency between conventional CT evaluation of OVCF Denis classification and MRI examination results was average(Kappa=0.711,P＜0.001).The accuracy of artificial intelligence CT in evaluating the Denis classification of OVCF patients was 88.82％(151/170).According to Kappa consistency measurement,the consistency between conventional CT evaluation of OVCF Denis classification and MRI examination results was good(Kappa=0.852,P＜0.001).Conclusion The consistency between the results of artificial intelligence CT examination in diagnosing OVCF and MRI diagnosis is good.Compared with conventional CT examination,artificial intelligence CT examination has higher sensitivity and accuracy in diagnosing OVCF.At the same time,artificial intelligence CT also has good diagnostic value for the degree of OVCF fracture.
Osteoporosis Vertebral Compression FractureElectronic Computed TomographyArtificial IntelligenceDegree Of FractureDiagnosis
万方数据
维普
