Study of the Value of Hyperechogenicity and Related Acoustic Features in the Diagnosis of Breast Cancer in Breast Nodules
DOI: 10.23977/medsc.2023.040710 | Downloads: 6 | Views: 254
Author(s)
Shuowen Wang 1, Yan Wang 1, Juan Cheng 1, Jinfu Chen 1, Lilong Zhuang 1
Affiliation(s)
1 Hainan Medical University, Haikou, Hainan, 571199, China
Corresponding Author
Shuowen WangABSTRACT
To invest the diagnostic value of hyperecho and related acoustic features in break schedules in break cancer. The ultrasonic features of 90 cases of hyperechoic break schedules confirmed by pathology were retrospectively analyzed, including 49 cases of the sign group and 41 cases of the minor group. The ultra-graphic features of the two groups were compared and observed, including morphology, orientation, edge, calibration, interior echo, blood supply, hyperechoic Corona, etc. Multivariate Logistic regression model was used to screen the risk ultra sound signals of hyperechoic break schedules. ROC curve was drawn to evaluate the diagnostic validity of ultrasound for hyperechoic break rules by AUC. There were statistically significant differences in the morphology, orientation, margin, calibration, and echo halos between the two groups (x ²= 14.504, 5.511, 42.643, 9.870, 26.071, all P<0.05). There were no statistically significant differences in the posterior echo and blood supply (x ²= /, 2.089, P>0.05). The Multivariate Logistic regression model was shown that margin unbalances and microcalculation were the risk ultra sound signals of hyperechoic break schedules. The ROC curve was drawn based on the probability value of this model to predict hyperechoic break cancer, and the AUC was 0.912, the sensitivity was 0.829, the specificity was 0.918. Marginal unconsolidation and microcalcification are important ultra-signs of hyperechoic break nodules, which have high value in predicting hyperechoic break cancer.
KEYWORDS
Break rules; Hyperecho; Related acoustic characteristics; Break cancer; Diagnostic effectivenessCITE THIS PAPER
Shuowen Wang, Yan Wang, Juan Cheng, Jinfu Chen, Lilong Zhuang, Study of the Value of Hyperechogenicity and Related Acoustic Features in the Diagnosis of Breast Cancer in Breast Nodules. MEDS Clinical Medicine (2023) Vol. 4: 52-59. DOI: http://dx.doi.org/10.23977/medsc.2023.040710.
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