Characteristics of ultrasonography in 135 cases of breast invasive ductal carcinomas
YUN Ting1, LIU Di2, WANG Tiantian1, ZHENG Dongxue1, SA Rina1, XIE Yanfang3, ZHANG Yunshan1
1. Department of Ultrasound Medicine,the 6th Medical Center of PLA General Hospital,Beijing 100048,China; 2. Ultrasonography Department,Beijing Nuclear Industry Hospital,Beijing 100045,China; 3. Department of Ultrasound, Jingxi Medical Section of Chinese PLA General Hospital, Beijing 100089, China
Abstract:Objective To analyze the diagnostic value of each characteristic ultrasound image in breast invasive ductal carcinomas.Methods One hundred and thirty-five patients with invasive ductal carcinomas of the breast admitted to our hospital between January 2018 and December 2019 were included in this study to analyze the characteristics of ultrasound image of breast infiltrating ductal carcinomas, the detection rate of self-examination and the correlations between lymph node metastasis and lesion size and location.Results (1)Singe factor analysis showed that such ultrasound imaging features as an irregular shape (91.00%), unclear borders (91.00%), blood flow signals (77.78%), microcalcification (55.56%), aspect ratio>1 (26.67%), and posterior echo attenuation (15.50%) were correlated with the diagnosis with invasive ductal carcinomas.(2)Invasive ductal carcinomas in the inner and upper quadrants were more likely to be detected by the patient's self-examinationthan the other three quadrants, accounting for 54.00% of the cases detected by self-examination.(3)Infiltrating ductal carcinomas in the inner and upper quadrants were more prone to lymph node metastasis (metastasis rate: inner upper: 36.40%, inner lower: 0%, outer upper: 50.00%, outer lower: 16.67%).(4)The size of invasive ductal carcinomas was not related to the metastasis of axillary lymph nodes.Conclusions Ultrasound has a strong ability to detect breast lesions. An irregular shape in the ultrasound image is most likely to be a sign of an invasive ductal carcinoma of the breast, and it is manifested in early lesions. The self-detection rate of breast lesions and the lymphatic metastasis rate of breast cancer are closely related to the size and location of breast lesions.
Li T, Mello T C, Brennan P C. Descriptive epidemiology of breast cancer in China: incidence, mortality, survival and prevalence[J]. BREAST CANCER RES TR,2016, 159(3):395-406.
[4]
Bray F,Ferlay J,Soerjomataram I,et al.Global cancer statistics 2018:GLOBOCAN estimates of incidence and mortality worldwide for 36cancers in 185 countries[J].CA Cancer J Clin,2018,68(6):394-424.
[5]
Ozmen N, Dapp R, Zapf M. Comparing different ultrasound imaging methods for breast cancer detection[J]. IEEE,2015, 62(4):637-646.
[6]
Shi J, Wang R, Zhou S.The research progress of breast ultrasound CAD with breast imaging and reporting data system[J]. Sheng wu yi xue gong cheng xue za zhi,2010, 27(5):1169-1172.
[7]
Li Y, Zhang N, Zhang H. Comparative prognostic analysis for triple negative breast cancer with metaplastic and invasive ductal carcinoma[J]. J clini pathol,2019,72(6):418-424.
[8]
Wang X, Li L, Gao J. The association between body size and breast cancer in han women in northern and eastern China[J]. The oncologist,2016, 21(11):1362-1368.
[9]
Masroor I, Afzal S, Sufian S. Imaging guided breast interventions. journal of the college of physicians and surgeons Pakistan[J].JCPSP,2016, 26(6):521-526.
[10]
Sheth D, Abe H: Abbreviated MRI and Accelerated MRI for Screening and Diagnosis of Breast Cancer. Topics in magnetic resonance imaging[J]. TMRI,2017,26(5):183-189.
[11]
Ha R, Kim H, Mango V. Ultrasonographic features and clinical implications of benign palpable breast lesions in young women[J]. Ultrasonography,2015, 34(1):66-70.
[12]
Sadoughi F, Kazemy Z, Hamedan F. Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review[J]. Breast cancer,2018, 10(4):219-230.
[13]
Alamo L, Fischer U.Contrast enhanced color doppler ultrasound characteristics in hypervascular breast tumors[J]. Eur radiol, 2001, 11(6):970-977.
[14]
Dogra A,Doval D C,Sardana M.Clinicopathological characteristics of triple negative breast cancer at a tertiary care hospital inIndi[J]. Asian Pac J Cancer Prev, 2014,15( 24 ): 10577-10583.