Application of Ultrasonography in the Pathological Study of Breast Cancer in Female Patients with Breast Lesions

2020 ◽  
Vol 10 (4) ◽  
pp. 947-953
Author(s):  
Yajuan Wang ◽  
Yuan Fu ◽  
Guangsen Li ◽  
Tianlang Jin

The retrospective analysis of the ultrasonographic features of 108 cases of breast cancer confirmed by surgery and pathology, namely the relationship between mass boundary, posterior echo, calcification and blood flow signal and pathological type, was to explore the features of ultrasound sonography of breast cancer. The link between pathological typing. The results of the study showed that the ultrasound showed that the border of the nvasive ductal carcinoma was mostly burr-like. The ultrasound showed that the border of the invasive lobular carcinoma was mostly strong echo halo. The medullary carcinoma had a clear boundary, while the intraductal carcinoma showed more unclear borders. There was no significant difference in the relationship between the boundary of the mass and the pathological types. Ultrasound of invasive ductal carcinoma and invasive lobular carcinoma showed a posterior echo attenuation, and medullary carcinoma showed more posterior echo enhancement. The relationship between the echo of the posterior mass of the tumor and the pathological types was statistically different. The detection rate of ultrasound calcification in invasive ductal carcinoma and invasive lobular carcinoma was higher. The calcification in medullary carcinoma was less common. The calcification in the pathology of intraductal carcinoma was better. High, but ultrasound can only detect half of it. There was no significant difference in the relationship between calcification and pathological types in the tumor; ultrasound showed that most of the blood flow signals were abundant, suggesting that there was no statistical difference between the blood flow classification and the pathological classification of the tumor. The results of the thesis indicate that the ultrasound characteristics of breast cancer have a high diagnostic value for its pathological classification.

Author(s):  
Anak Agung Ngurah Gunawan ◽  
I Wayan Supardi ◽  
S. Poniman ◽  
Bagus G. Dharmawan

<p>Medical imaging process has evolved since 1996 until now. The forming of Computer Aided Diagnostic (CAD) is very helpful to the radiologists to diagnose breast cancer. KNN method is a method to do classification toward the object based on the learning data which the range is nearest to the object. We analysed two types of cancers IDC dan ILC. 10 parameters were observed in 1-10 pixels distance in 145 IDC dan 7 ILC. We found that the Mean of Hm(yd,d) at 1-5 pixeis the only significant parameters that distingguish IDC and ILC. This parameter at 1-5 pixels should be applied in KNN method. This finding need to be tested in diffrerent areas before it will be applied in cancer diagnostic.</p>


2021 ◽  
Vol 10 (18) ◽  
pp. 1296-1301
Author(s):  
Kashifa Rahamath ◽  
Bhawna Dev ◽  
Venkata Sai P.M

BACKGROUND Lobular breast carcinomas have always been a diagnostic challenge, over the years, to the radiologist. They are one of the most commonly missed lesions on breast cancer screening checks, due to their varied presentation. We wanted to provide a concise and practical approach to characterise their morphology and presentation on mammography and ultrasound. METHODS A retrospective study was done for four years and a total of 699 patients with histopathologically proven breast cancer were chosen. Those patients with invasive lobular carcinoma (N = 56) and invasive ductal carcinoma (N = 538) were segregated and 50 cases from each group were selected randomly. RESULTS On mammography, an irregular, high-density mass was the most common presentation of both lobular (68 %) and ductal (86 %) carcinomas. Presentation as focal asymmetry (28 %) was significantly more prevalent in lobular breast carcinomas. Sonographically, an architectural distortion (30 %) and non-parallel orientation (28 %) was predominantly seen in invasive lobular carcinomas (ILCs). Mass (88 %) with micro lobulated (34 %) or angular (22 %) margins was more in favour of ductal carcinoma. Other general parameters like age at presentation, positive family history, multifocality, bilaterality, tumour size and lymph nodal involvement were not significantly different between both the groups. CONCLUSIONS A careful analysis of digital breast tomosynthesis and ultrasonography, keeping in mind all the clear differentiating features, along with experience in the field, will dramatically increase the early detection of lobular breast cancers. KEY WORDS Invasive Lobular Carcinoma (ILC), Invasive Ductal Carcinoma (IDC), X-Ray Mammography, Sono-Mammography


2013 ◽  
Vol 99 (1) ◽  
pp. 39-44
Author(s):  
Claudia Maria Regina Bareggi ◽  
Dario Consonni ◽  
Barbara Galassi ◽  
Donatella Gambini ◽  
Elisa Locatelli ◽  
...  

Aims and background Often neglected by large clinical trials, patients with uncommon breast malignancies have been rarely analyzed in large series. Patients and methods Of 2,052 patients diagnosed with breast cancer and followed in our Institution from January 1985 to December 2009, we retrospectively collected data on those with uncommon histotypes, with the aim of investigating their presentation characteristics and treatment outcome. Results Rare histotypes were identified in 146 patients (7.1% of our total breast cancer population), being classified as follows: tubular carcinoma in 75 (51.4%), mucinous carcinoma in 36 (24.7%), medullary carcinoma in 25 (17.1%) and papillary carcinoma in 10 patients (6.8%). Whereas age at diagnosis was not significantly different among the diverse diagnostic groups, patients with medullary and papillary subtypes had a higher rate of lymph node involvement, similar to that of invasive ductal carcinoma. Early stage diagnosis was frequent, except for medullary carcinoma. Overall, in comparison with our invasive ductal carcinoma patients, those with rare histotypes showed a significantly lower risk of recurrence, with a hazard ratio of 0.28 (95% CI, 0.12–0.62; P = 0.002). Conclusions According to our analysis, patients with uncommon breast malignancies are often diagnosed at an early stage, resulting in a good prognosis with standard treatment.


2003 ◽  
Vol 29 (4) ◽  
pp. 390-395 ◽  
Author(s):  
H. Mersin ◽  
E. Yıldırım ◽  
K. Gülben ◽  
U. Berberoğlu

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