The Application Value of Breast AI and Molybdenum Target in Qualitative Diagnosis and Preoperative Guidance of Breast Nodules
Objective:To observe the application value of breast artificial intelligence(AI)and mammography in qualitative diagnosis and preoperative guidance of breast nodules.Method:A total of 164 patients with breast nodules admitted to Pingxiang People's Hospital from January 2019 to June 2023 were selected,and all patients underwent breast AI and mammography.The pathological diagnosis results were used as the gold standard.The value of breast AI,mammography and their combination in qualitative diagnosis and preoperative guidance of breast nodules were compared.Result:Among 164 patients,174 breast nodules were found through surgical pathology,with a total of 136 benign lesions(54 fibroadenomas,26 breast diseases,52 granulomatous lobular mastitis and 4 simple cysts)and 38 malignant lesions(14 invasive ductal carcinoma,12 papillary carcinoma and 12 ductal carcinoma in situ).The sensitivity,specificity and accuracy of qualitative diagnosis of breast nodules using breast AI examination were 73.68%,91.17%and 87.36%,respectively;those of breast molybdenum target examination was 57.89%,85.29%and 79.31%;the combined sensitivity and accuracy of the two methods were 89.47%and 91.95%,respectively,which were significantly higher than those of individual diagnosis,the differences were statistically significant(P<0.05).Conclusion:Breast AI combined with mammography can significantly improve the qualitative diagnostic efficiency of breast nodules,and has high value in preoperative evaluation of breast nodules.
Breast AIMammographyBreast noduleQualitative diagnosisPreoperative guidance
国家科技期刊平台
NSTL
万方数据
