Comparison of the diagnostic efficacy of AI technology based on different algorithms for breast tumor diagnosis
Objective:Analyze the efficacy of the fully convolutional single-stage breast AI algorithm based on fully digital mammography(FD)and the 3 D multi image fusion AI algorithm based on digital breast tomography(DBT)in the diagnosis of breast tumor images.Methods:The FD AI algorithm(AI-FD)and DBT AI algorithm(AI-DBT)were used to calculate the imaging data of 469 cases(515 lesions)with the pathologically confirmed breast diseases in breast surgery department of Changzhou Maternal and Child Health Hospital in 2022.Based on the pathological results,collect and record the positive number and coincidence number of the results of the two algorithms,and compare the diagnostic sensitivity,specificity,positive predictive value and negative predictive value of the two algorithms for breast cancer.With pathological diagnosis as the gold standard,the receiver operating characteristic curve(ROC)and the area under the curve(AUC)of diagnostic methods such as AI algorithm,ultrasound(US),and manual diagnosis of molybdenum target X-ray(manual MG).Results:The positive data of AI-DBT group was 67.81％,higher than the AI-FD group(49.11％),the difference was statistically significant(x2=35.01,P＜0.05).The coincidence data of AI-DBT group was 44.33％,slightly lower than the AI-FD group(46.90％),there was no statistical difference between groups according to the meaning(x2=0.42,P＞0.05).Comparing between the two algorithms,AI-DBT has high sensitivity but weak specificity in the diagnosis of breast cancer,while the specificity of AI-FD group was better.In terms of AUC value,manual diagnosis(MG)was the highest,0.804,followed by the two AI algorithms,which were both slightly higher than ultrasound.Conclusion:The AI algorithm based on three-dimensional tomographic images of breast DBT and two-dimensional images of FD has certain accuracy in the diagnosis of breast tumors,especially breast cancer.However,there is still a certain gap of the diagnostic efficacy between it and manual MG.Therefore,it cannot completely replace manual diagnosis at present.
full digital mammographydigital breast tomosynthesisAI algorithm
万方数据
维普
