Abstract:Objective: To compare the value of DBT, DM and ultrasound in the diagnosis of dense non-calcified breast mass. Methods: From September 2016 to September 2018, 235 patients with dense non calcified breast masses admitted to the Second Affiliated Hospital of Liaoning University of Traditional Chinese Medicine and Liaoning Cancer Hospital and confirmed by surgery and pathology were selected as the study objects, all with DBT, DM and ultrasound imaging data. Three imaging methods were compared with pathological results to observe the detection rate and coincidence rate of benign and malignant imaging, and to analyze the diagnostic efficacy of three imaging methods. Results: Compared with the pathological results, the kappa value of DBT was 0.710, the consistency was general; the kappa value of DM was 0.505, the consistency was poor; the kappa value of ultrasound was 0.992, the consistency was good. There were significant differences in the detection rate of benign and malignant (χ 2 = 55.05, 48.876, 8.36, P<0.05) between the three imaging methods (P<0.05). The detection rate of benign, coincidence and malignant was significantly higher than that of DM and DBT (P<0.05), while that of DBT was significantly higher than that of DM (P<0.05). On diagnostic performance, the positive predictive value, negative predictive value of the three kinds of diagnostic methods, diagnostic coincidence rate significant difference (χ2=13.962,39.895,36.854, P<0.05); And the positive predictive value, negative predictive value, diagnostic coincidence rate with ultrasonic > DBT > DM examination (P<0.05). Conclusion: Compared with three imaging methods, DBT, DM and ultrasound, DM has poor diagnostic efficacy, and both DBT and ultrasound have high diagnostic value. However, it was suggested that ultrasound should be combined with DBT in preoperative diagnosis.
林成才, 李丽娟, 尉丽君. 三种不同影像学方法对致密型乳腺无钙化肿块的诊断价值比较[J]. 河北医学, 2019, 25(12): 1997-2000.
LIN Chengcai, et al. Comparison of Three Different Imaging Methods in the Diagnosis of Non-calcified Dense Breast Mass. HeBei Med, 2019, 25(12): 1997-2000.