Correlation analysis between ultrasonography and mammography with other risk factors related to breast cancer.

Abstract

Value and correlation analysis between ultrasound and mammography in the diagnosis and other risk factors related to breast cancer were explored. A total of 1,473 patients who underwent breast color ultrasonography and molybdenum target X-ray examination in Binzhou Medical University Hospital from March 2017 to August 2018 were collected, and the patient's ultrasound and mammography results were compared, also the pathological biopsy was used as the reference golden criteria to calculate the value of both test methods and the value of combined diagnosis in breast cancer. The risk factors associated with breast cancer were analyzed. Among the 1,473 patients, 387 breast cancer patients were detected by ultrasonography, 351 by mammography and 339 cases by combined diagnosis. A total of 314 cases were diagnosed as breast cancer after pathological biopsy. However, there were significant differences in tumor size, stages, and BI-RADS grades (P<0.05). There was no significant difference in the diagnostic efficacy between ultrasonography and mammography (P>0.05), however, the diagnostic efficacy of ultrasonography combined with mammography was significantly better than the two single tests (P<0.05). After logistic regression analysis, there was no significant correlation between residence address, height, blood type, ethnicity, or education with breast cancer (P>0.05). However, age, fertility status, and BMI were all risk factors related to breast cancer (OR>1; P<0.05). In conclusion, ultrasonography combined with mammography can effectively improve the early diagnosis rate of breast cancer, however, the patient's age, birth status, and BMI may affect the results of ultrasonography and mammography. In clinical practice, it is necessary to determine the imaging results in combination with the actual situation of the patients to improve the diagnosis rate of breast cancer.

• Authors: Wenxiao Zhang, Cui Xu, Rui Li, Guanghe Cui, Minmin Wang, Min Wang
• Journal: Oncology letters (Oncol Lett) Vol. 17 Issue 6 Pg. 5511-5516 (Jun 2019) ISSN: 1792-1074 [Print] Greece
• PMID: 31186771 (Publication Type: Journal Article)