Study on the Correlation between Ultrasound Characteristics of Breast Gland Structure and Breast Diseases
LI Chunyu
GUO Qingxin
WANG Yan
Abstract:Objective To retrospectively analyze the relationship between ultrasound feature grading of breast gland structure and breast diseases,study the influencing factors of breast diseases in breast glands with differ-ent ultrasound grades,and explore the value of ultrasound feature grading of breast glands in the diagnosis of breast diseases.Methods A total of 3000 patientswho underwent breast ultrasound examination from January 2021 to January 2023 were collectedfrom Daqing Longnan Hospital.All patient examination data were classified and diag-nosed using Breast Imaging Reporting and Data System(BI-RADS).All positive cases were confirmed by surgery and pathology.Simultaneously,we classified the ultrasound structural features of breast glands into 6 levels,analyzed the correlation between ultrasound feature grading of breast gland structure and positive cases,and statistically ana-lyzed the differences in breast disease characteristics among populations with different ultrasound feature grading of breast glands.Results Among the six graded populations,breast gland ultrasound classification had the greatest impact on the grading results.The effects of estrogen related diet and medication,body mass index(BMI),and age decreased sequentially,while endocrine got the least impact.The correlation coefficient between pathological results and grading results is 0.716,P=0.000,with statistical significance.Conclusion The grading of ultrasound fea-tures of breast gland structure can effectively predict the probability of breast gland disease in patients,and has significant diagnostic value in clinical diagnosis.The grading evaluation of ultrasound features of breast gland structure in breast examination can effectively alert doctors and patients to pay attention to the risk of breast disease,and has high application value.
Keywords:breast diseasesbreastimagingreportingdisease attributes
Publication Date:2024-01-28
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 76-78,105 )
