• The Korean Journal of Cytopathology
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• v.15 no.2
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• pp.106-111
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• 2004

Invasive micropapillary carcinoma (IMPCa) is a rare variant of invasive ductal carcinoma of the breast. This variant is associated with a set of peculiar cytological findings and aggressive biological behaviors. In most reported cases, IMPCa has involved massive axillary lymph node metastases at the time of diagnosis. We experienced four cases of cytological features of IMPCa, all of which were verified by histological examination. Fine needle aspiration cytology (FNAC) revealed malignant epithelial cells, which formed small, oval to angulated papillary clusters, which lacked central fibrovascular cores. The histological findings of the four cases revealed both pure and mixed forms of IMPCa, composed of cohesive malignant epithelial cells, surrounded by distinctive clear spaces and separated by thin fibrous septa. All patients evidenced axillary lymph node metastases at the time of diagnosis. It is important to identify the peculiar cytological findings which would differentiate IMPCa from other diseases.

• The Korean Journal of Cytopathology
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• v.18 no.1
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• pp.62-68
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• 2007

Invasive micropapillary carcinoma (IMPC) of the breast is recently described rare variant of invasive ductal carcinoma. This variant has a distinctive histological features and aggressive biological behavior. We reviewed the cytologic features of eight cases of IMPC. The cytologic smears showed moderate to high cellularity and the tumor tissue was composed of atypical, angulated, cohesive clusters of neoplastic cells with a papillary to tubuloalveolar architecture, and a morular growth pattern without fibrovascular cores was seen on the histopathology. IMPC of the breast has distinctive cytologic features and it is important to make an early diagnosis via fine needle aspiration cytology due to this tumor's aggressive behavior.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.12
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• pp.7381-7383
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• 2013

Background: Male breast cancer accounts for less than 1% of all cancer in men and only around 1% of all diagnosed breast cancer. Despite a significant raise in the last 25 years, it still remains a rare disease. Materials and Methods: We conducted a retrospective study from 2004-2011 with 21 male breast cancer patients. We aimed to analyze the epidemiologic data (age, personal and family history), tumor characteristics (size, histological type, location, TNM stage, receptors), surgery, adjuvant chemotherapy and radiation therapy, hormonal therapy and survival (relapse, follow up, death) who reffered to our center with breast cancer. Results: The median age was $49.2{\pm}14.2$ years (range 30-83 years). A family history of breast cancer was noted in four cases. The main clinical complaint was a retroareolar mass in 85.7%of patients (n=18). Histologically, 85.7% (n=18)were invasive ductal carcinoma and 4.7% (n=1) had ductal carcinoma in situ and 9.4% (n=2) had mixed histology including invasive medullary and ductal carcinoma. Hormonal therapy was delivered to 16 cases (76.1%) due to ER or PR positivity. During median follow up of 30 months (3-84 month), distant metastases were evident in 4 cases (19%). During the follow-up period, only one patient died due to metastatic disease. The mean time to recurrence detection was 30 months. Conclusions: The percentage of cases of male breast cancer is very low compared to breast cancer in females, explaining why very few investigations have been conducted in Iran. Limited coverage in the literature make gender-specific findings difficult so future research of this entity involving multi-institutional cooperation and longer follow up is essential to provide new insights about the biological and clinical factors of this rare cancer.

• Journal of the Korean Society of Radiology
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• v.85 no.4
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• pp.813-819
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• 2024

Ectopic breast tissue, which results from incomplete regression of the mammary line during embryogenesis, is observed in 0.2%-6% of the population. Carcinoma development in ectopic breast tissue, especially in the abdominal or chest wall, is rare. Here we present the unusual case of a 38-year-old woman with invasive ductal carcinoma in the ectopic breast tissue on the left side of the chest wall and concurrent fibroadenoma in the ectopic breast tissue on the right side. We also describe the US and MR findings of these masses.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.8
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• pp.3505-3508
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• 2015

Background: Ras genes are thought to play an important role in human cancer since they have been found to be activated frequently in several types of tumors including breast cancer, where the overall incidence of K-RAS oncogene activation is 0-10%. Evaluation of K-RAS gene not only for mutational frequency but also for mutation types in this downstream signaling gene pathway is necessary to determine the mechanisms of action. The present study was conducted to test the hypothesis that K-RAS activation is involved in breast cancer risk of south Indian population. Materials and Methods: A total of 70 paired pathologically confirmed tumor and non-tumor tissues from the same breast cancer patients were analysed for most common K-RAS mutations of codon 12,13 and 61 by polymerase chain reaction followed by restriction digestion and direct nucleotide sequencing method. Results: We found that a high rate of homozygous and heterozygous mutations of codon 12, but not codon 13 and 61, may influence the invasive ductal carcinoma of breast risk in this study. Conclusions: Our study indicated that only codon 12 may be involved in initiating breast carcinogenesis in India.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.340-342
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• 2001

본 논문은 유방질환 중에서 Duct(관)에 발생하는 유방 종양을 benign(양성종양)/DCIS (Ductal Carcinoma In Situ)/NOS(Invasive ductal carcinoma)로 자동 분류하기 위한 분류방법을 제안한다. 분류기 생성에서 가장 중요한 단계인 특징 추출단계에서는 wavelet 변환을 적용하였으며, wavelet 변환의 각 depth에 따라 분류기를 생성하여, depth와 생성된 분류기의 분류 정확도와의 상관관계를 비교.분석하였다. 현미경 100배 배율과 400배 배율의 유방 질환 영상을 1, 2, 3, 4단계(depth)의 wavelet 변환을 적용한 후, 분할된 서브밴드에서 GLCM을 이용하여 질감 특징(Entropy, Energy, Contrast, Homogeneity)을 추출하여, 이 특징값들을 조합하여 판별분석에 의해 분류기(classifier)를 생성한 후, 분류 정확도를 검증하였다. Benign/DCIS/NOS를 분류하려면 최소 3단계 이상의 wavelet 변환을 적용해야 하고, 400배 배율 영상보다는 100배 배율의 영상이 더 나은 결과를 보였다.

• Journal of the Institute of Convergence Signal Processing
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• v.2 no.4
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• pp.22-30
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• 2001

In this paper we propose three classification algorithms to classify breast tumors that occur in duct into Benign, DCIS(ductal carcinoma in situ) NOS(invasive ductal carcinoma) The general approach for a creating classifier is composed of 2 steps: feature extraction and classification Above all feature extraction for a good classifier is very significance, because the classification performance depends on the extracted features, Therefore in the feature extraction step, we extracted morphology features describing the size of nuclei and texture features The internal structures of the tumor are reflected from wavelet transformed images with 10$\times$ and 40$\times$ magnification. Pariticulary to find the correlation between correct classification rates and wavelet depths we applied 1, 2, 3 and 4-level wavelet transforms to the images and extracted texture feature from the transformed images The morphology features used are area, perimeter, width of X axis width of Y axis and circularity The texture features used are entropy energy contrast and homogeneity. In the classification step, we created three classifiers from each of extracted features using discriminant analysis The first classifier was made by morphology features. The second and the third classifiers were made by texture features of wavelet transformed images with 10$\times$ and 40$\times$ magnification. Finally we analyzed and compared the correct classification rate of the three classifiers. In this study, we found that the best classifier was made by texture features of 3-level wavelet transformed images.

• The Korean Journal of Cytopathology
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• v.14 no.2
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• pp.53-59
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• 2003

Fine needle aspiration cytology (FNAC) has been known as a very sensitive and effective method for preoperative diagnosis. We studied cases preoperatively diagnosed by FNAC and confirmed by the histopathologic examination to define the effectiveness of FNAC. A total of 567 cases including breast, thyroid gland, lymph node, and soft tissue confirmed histologically after FNAC were enrolled, among 2,844 FNAC cases from January 1996 to March 2000. Overall sensitivity and specificity of FNAC were 93% and 100%, respectively. Sensitivity and specificity of FNAC by sites or organs were 91% and 100% in breast, 100% and 100% in thyroid, 97% and 100% in lymph node, and 71% and 100% in soft tissue, respectively. Nine cases showed diagnostic discrepancy; eight cases of sampling error and one case of interpretation error. Five cases, diagnosed as fibrocystic change at FNAC but invasive ductal carcinoma after the histopathologic examination, were categorized as sampling error due to the presence of diffuse fibrosis or deep seated location. One case of breast, diagnosed descriptively as atypical ductal and stromal cells suggesting invasive ductal carcinoma at FNAC but malignant phyllodes tumor histologically, was categorized as interpretation error. Other cases of sampling errors were two cases of soft tissue, a case of lymph node, and a case of salivary gland.

• Radiation Oncology Journal
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• v.22 no.1
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• pp.11-16
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• 2004

Purpose: To evaluate the survival rate, local failure rate and patterns of failure, and analyze the prognostic factors affecting local relapse of ductal carcinoma in situ treated with breast conserving surgery and radiotherapy Materials and Methods: From June 1995 to December 2001, 96 patients with ductal carcinoma in situ treated with breast conserving surgery and radiotherapy were retrospectively analyzed. The operations were either local or wide excision in all patients, with an axillary lymph node dissection performed in some patients. Radiation dose to the whole breast was 50.4 Gy, over 5 weeks, with 1.8 Gy daily fractions, with additional doses ($10\~14$ Gy) administered to the primary tumor bed in some patients with close ($\leq$2 mm) or positive resection margin. The median follow-up period was 43 months (range $10\~102$ months). Results: The 5-year local relapse free survival and overall survival rates were 91 and $100\%$ respectively. Local relapse occurred in 6 patients ($6.3\%$). Of the 6 recurrences, one was invasive ductal cell carcinoma. With the exception of one, all patients recurred 2 years after surgery. There was no regional recurrence or distant metastasis. Five patients with local recurrence were salvaged with total mastectomy, and are alive with no evidence of disease. One patient with recurrent invasive ductal cell carcinoma will receive salvage treatment. On analysis of the prognostic factors affecting local relapse, none of the factors among the age, status of resection margin, comedo type and nuclear grade affected local relapse. Operation extent also did not affect local control (p=0.30). In the patients with close resection margin, boost irradiation to the primary tumor bed did not affect local control (p=1.0). Conclusions: The survival rate and local control of the patients with ductal carcinoma in situ treated with breast conserving surgery and radiotherapy were excellent. Close resection margin and boost irradiation to the primary tumor bed did not affect local relapse, but further follow-up with much more patients is needed.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.6
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• pp.2385-2390
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• 2015

Background: Invasive ductal (IDC) and lobular (ILC) carcinomas are the common histological types of breast carcinoma which are difficult to distinguish when poorly differentiated. Discoidin domain receptor (DDR1) and Drosophila dishevelled protein (DVL1) were recently suggested to differentiate IDC from ILC. Objectives: To assess the expression of DDR1 and DVL1 and their association with histological type, grading and hormonal status of IDC and ILC. Materials and Methods: This cross sectional study was conducted on IDC and ILC breast tumours. Tumours were immunohistochemically stained for (DDR1) and (DVL1) as well as estrogen receptor (ER), progesterone receptor (PR) and C-erbB2 receptor. Demographic data including age and ethnicity were obtained from patient records. Results: A total of 51 cases (30 IDCs and 21 ILCs) were assessed. DDR1 and DVL1 expression was not significantly associated with histological type (p=0.57 and p=0.66 respectively). There was no association between DDR1 and DVL1 expression and tumour grade (p=0.32 and p=1.00 respectively), ER (p=0.62 and 0.50 respectively), PR (p=0.38 and p=0.63 respectively) and C-erbB2 expression (p=0.19 and p=0.33 respectively) in IDC. There was no association between DDR1 and DVL1 expression and tumour grade (p=0.52 and p=0.33 respectively), ER (p=0.06 and p=0.76 respectively), PR (p=0.61 and p=0.43 respectively) and C-erbB2 expression (p=0.58 and p=0.76 respectively) in ILC. Conclusions: This study revealed that DDR1 and DVL1 are present in both IDC and ILC regardless of the tumour differentiation. More studies are needed to assess the potential of these two proteins in distinguishing IDC from ILC in breast tumours.