Is invasive lobular carcinoma different from invasive ductal carcinoma?

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

scholarly journals The Utilization of Physics Parameter to Classify Histopathology Types of Invasive Ductal Carcinoma (IDC) and Invasive Lobular Carcinoma (ILC) by using K-Nearest Neighbourhood (KNN) Method

2018 ◽  
Vol 8 (4) ◽  
pp. 2442
Author(s):  
Anak Agung Ngurah Gunawan ◽  
I Wayan Supardi ◽  
S. Poniman ◽  
Bagus G. Dharmawan
Keyword(s):  
Breast Cancer ◽  
Invasive Ductal Carcinoma ◽  
Invasive Lobular Carcinoma ◽  
Ductal Carcinoma ◽  
Lobular Carcinoma ◽  
Diagnose Breast Cancer ◽  
Object Based ◽  
Computer Aided ◽  
The Mean ◽  
Learning Data

<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>

Similar decrease of proliferation employing Ki-67 after brief neoadjuvant hormonal treatment on invasive ductal carcinoma versus invasive lobular carcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12606-e12606
Author(s):  
Martin Majer ◽  
Elizabeth Fauchier Little ◽  
Sarah Jones ◽  
Jasmine Dong ◽  
Karolina Bezdickova ◽  
...  
Keyword(s):  
Hormone Therapy ◽  
Invasive Ductal Carcinoma ◽  
Invasive Lobular Carcinoma ◽  
Ductal Carcinoma ◽  
Lobular Carcinoma ◽  
Response Rates ◽  
Hormone Treatment ◽  
Chi Square ◽  
Ki 67 ◽  
Chi Square Analysis

e12606 Background: Invasive lobular carcinoma (ILC) differs from the more prevalent invasive ductal carcinoma (IDC) in histology, molecular underpinning, and biological responsiveness to cytotoxics. Patients diagnosed with IDC or ILC were evaluated in the clinical setting to determine if they differ in responsiveness to neoadjuvant hormone treatment. Methods: This is a retrospective observational study of an underserved, low income, rural population in Oroville, California. The data for this study was collected over ten years (2011-2021) from 58 estrogen receptor positive (ER+) breast cancer patients. The majority of these patients (48/58) were diagnosed with IDC with ages ranging from 35 to 91 (mean age is 66) and the remaining 10 were diagnosed with ILC with ages ranging from 58 to 85 (mean age is 64). Patients were given neoadjuvant hormone treatment starting after their initial biopsy confirming ER+ status until scheduled surgical removal by lumpectomy or mastectomy. Ki-67 was measured prior to treatment and then measured again after a minimum of 14 days on hormone therapy. The initial Ki-67 range for patients with IDC was 2%-75% (median of 15%). Ki-67 initial range for patients with ILC was 2%-30% (median of 11%). Positive response to treatment was set at > 50% reduction in Ki-67, with no response set at < 50% reduction in Ki-67. We compared the response rates of ILC and IDC patients using a chi-square test. Results: Chi-square analysis found no statistically significant difference between IDC and ILC response to hormone therapy. 34/48 (71%) patients with IDC responded to treatment, and 8/10 (80%) of ILC patients showed response. Incidentally, we noticed a higher prevalence of ILC in our community compared to expected numbers. Conclusions: When evaluating hormone therapy responsiveness in the neoadjuvant setting, there is no observable statistical difference in response rates between IDC and ILC. Neoadjuvant hormone testing employing Ki-67 response identifies subgroups of patients who benefit from the addition of new biologics (-ciclibs, mTOR inhibitors) in addition to hormone treatment. Our experience supports testing in this way to further individualize the care of patients unable to participate in clinical trials.

Invasive Ductal Carcinoma vs. Invasive Lobular Carcinoma: Mammographic Findings

1996 ◽  
Vol 34 (2) ◽  
pp. 293
Author(s):  
Eun Chun Lee ◽  
Young Soo Do ◽  
Hoon Il Oh ◽  
Yoon Hee Han ◽  
Ki Soo Kim ◽  
...  
Keyword(s):  
Invasive Ductal Carcinoma ◽  
Invasive Lobular Carcinoma ◽  
Ductal Carcinoma ◽  
Lobular Carcinoma

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
Keyword(s):  
Breast Cancer ◽  
Blood Flow ◽  
Invasive Ductal Carcinoma ◽  
Invasive Lobular Carcinoma ◽  
Ductal Carcinoma ◽  
Lobular Carcinoma ◽  
Medullary Carcinoma ◽  
Pathological Classification ◽  
Significant Difference ◽  
The Relationship

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.

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