• Asian Pacific Journal of Cancer Prevention
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• v.14 no.1
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• pp.39-42
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• 2013

Background: Breast cancer is the most frequently occurring cancer among Iranian women; however limited studies have been conducted to address survival rates. Objective: The objective was to examine survival rates in Tabriz (Northwest of Iran) and comparing with those of data reported from other cities and countries. Methods: Survival rates were calculated for one, three, five, seven and ten years for 271 breast cancer patients referred to one university clinic during 1997-2008. Results: Survival analysis demonstrated a lower survival rate compared to western countries. Conclusions: Survival rates for our patients are similar/better than other cities in Iran, but lower than certain European countries and the US. Further studies with a higher number of patients are now required.

• Journal of Preventive Medicine and Public Health
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• v.41 no.3
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• pp.186-194
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• 2008

Objectives : This study describes trends in the socioeconomic disparities in breast cancer screening among US women aged 40 or over, from 2000 to 2005. We assessed 1) the disparities in each socioeconomic dimension; 2) the changes in screening mammography rates over time according to income, education, and race; and 3) the sizes and trends of the disparities over time. Methods : Using data from the Behavioral Risk Factor Surveillance System (BRFSS) from 2000 to 2005, we calculated the age-adjusted screening rate according to relative household income, education level, health insurance, and race. Odds ratios and the relative inequality index (RII) were also calculated, controlling for age. Results : Women in their 40s and those with lower relative incomes were less likely to undergo screening mammography. The disparity based on relative income was greater than that based on education or race (the RII among low-income women across the survey years was 3.00 to 3.48). The overall participation rate and absolute differences among socioeconomic groups changed little or decreased slightly across the survey years. However, the degree of each socioeconomic disparity and the relative inequality among socioeconomic positions remained quite consistent. Conclusions : These findings suggest that the trend of the disparity in breast cancer screening varied by socioeconomic dimension. Continued differences in breast cancer screening rates related to income level should be considered in future efforts to decrease the disparities in breast cancer among socioeconomic groups. More focused interventions, as well as the monitoring of trends in cancer screening participation by income and education, are needed in different social settings.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.507-515
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• 2015

This paper suggests 6 cases of TFA parameters algorithm(Mean, VA, RS, SKEW, UN, EN) to search for the detection of recognition rates regarding breast disease using CAD on ultrasound images. Of the patients who visited a university hospital in Busan city from August 2013 to January 2014, 90 cases of breast ultrasound images based on the findings in breast US and pathology were selected. $50{\times}50$ pixel size ROI was selected from the breast US images. After pre-processing histogram equalization of the acquired test images(negative, benign, malignancy), we calculated results of TFA algorithm using MATLAB. As a result, in the TFA parameters suggested, the disease recognition rates for negative and malignancy was as high as 100%, and negative and benign was approximately 83~96% for the Mean, SKEW, UN, and EN. Therefore, there is the possibility of auto diagnosis as a pre-processing step for a screening test on breast disease. A additional study of the suggested algorithm and the responsibility and reproducibility for various clinical cases will determine the practical CAD and it might be possible to apply this technique to range of ultrasound images.

• Korean Journal of Psychosomatic Medicine
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• v.29 no.2
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• pp.77-85
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• 2021

Breast cancer is the most prevalent oncological disease among women. Various psychosocial distress is common at the diagnosis, treatment, and posttreatment phase of breast cancer. For the treatment of breast cancer, not only medical treatment but also psychosomatic integrative care will be needed. Patients with breast cancer may lead to increased vulnerability to stress, adjustment disorder, anxiety disorder, and depressive disorder, and these psychiatric diseases and conditions are associated with recurrence or exacerbation of breast cancer. Psychosocial treatment of anxiety and depression could increase the quality of life of patients and decrease the recurrence and progression of breast cancer. In this article, we reviewed 5 clinical breast cancer survivorship guidelines focused on psychosomatic integrative care including psychosocial treatment and alternative treatment for psychosocial distress. Because 5 treatment guidelines were using various definitions of evidence, we confirmed evidence of various psychosocial treatments for patients with breast cancer based on the definition of evidence by the US Preventive Service Task Force (USPSTF) guideline. We also reviewed the effect size of psychosocial treatment for anxiety, depression, mood, and quality of life in patients with breast cancer. This article discusses the barrier to the delivery of psychosomatic integrative care and suggests integrative care planning for breast cancer. Multi-disciplinary teams, patient's needs assessment, information technology support, patient and caregiver engagement, planned periodic monitoring of psychosocial distress by a psychosomatic specialist or consultation-liaison psychiatrist are recommended as key features of a psychosomatic integrated care plan.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.101-106
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• 2021

Breast cancer is the number one cause of deaths from cancer in women, knowing the type of breast cancer in the early stages can help us to prevent the dangers of the next stage. The performance of the deep learning depends on large number of labeled data, this paper presented convolutional neural network for classification breast cancer from images to benign or malignant. our network contains 11 layers and ends with softmax for the output, the experiments result using public BreakHis dataset, and the proposed methods outperformed the state-of-the-art methods.

• Journal of the Korean Society of Radiology
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• v.84 no.3
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• pp.770-775
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• 2023

Malignant peripheral nerve sheath tumor (MPNST), a rare soft-tissue sarcoma, is most commonly located in the trunk, extremities, and head and neck, but rare in the breast. We report a metastatic breast MPNST in a 27-year-old woman with neurofibromatosis type 1 (NF-1). Chest computed tomography revealed a well-defined, oval, mildly enhancing nodule in the right breast. US revealed a circumscribed, oval, heterogeneous echoic mass with vascularity and intermediate elasticity in the right upper outer breast. The breast mass was excised and diagnosed as MPNST on histopathology evaluation. Although rare, it should be included in the differential diagnosis of breast mass in NF-1 patient.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.18
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• pp.8265-8270
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• 2016

Purpose: A cost-utility analysis was performed to assess the cost-utility of neoadjuvant chemotherapy regimens containing doxorubicin and cyclophosphamide (AC) versus paclitaxel and gemcitabine (PG) for locally advanced breast cancer patients in Iran. Materials and Methods: This cross-sectional study in Namazi hospital in Shiraz, in the south of Iran covered 64 breast cancer patients. According to the random numbers, the patients were divided into two groups, 32 receiving AC and 32 PG. Costs were identified and measured from a community perspective. These items included medical and non-medical direct and indirect costs. In this study, a data collection form was used. To assess the utility of the two regimens, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core30 (EORTC QLQ-C30) was applied. Using a decision tree, we calculated the expected costs and quality adjusted life years (QALYs) for both methods; also, the incremental cost-effectiveness ratio was assessed. Results: The results of the decision tree showed that in the AC arm, the expected cost was 39,170 US$ and the expected QALY was 3.39 and in the PG arm, the expected cost was 43,336 dollars and the expected QALY was 2.64. Sensitivity analysis showed the cost effectiveness of the AC and ICER=-5535 US$. Conclusions: Overall, the results showed that AC to be superior to PG in treatment of patients with breast cancer, being less costly and more effective.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.678-700
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• 2023

Diagnosing breast diseases using ultrasound (US) images remains challenging because it is time-consuming and requires expert radiologist knowledge. As a result, the diagnostic performance is significantly biased. To assist radiologists in this process, computer-aided diagnosis (CAD) systems have been developed and used in practice. This type of system is used not only to assist radiologists in examining breast ultrasound images (BUS) but also to ensure the effectiveness of the diagnostic process. In this study, we propose a new approach for breast lesion localization and segmentation using a multi-scale pyramid of the ultrasound image of a breast organ and a convolutional semantic segmentation network. Unlike previous studies that used only a deep detection/segmentation neural network on a single breast ultrasound image, we propose to use multiple images generated from an input image at different scales for the localization and segmentation process. By combining the localization/segmentation results obtained from the input image at different scales, the system performance was enhanced compared with that of the previous studies. The experimental results with two public datasets confirmed the effectiveness of the proposed approach by producing superior localization/segmentation results compared with those obtained in previous studies.

• Journal of the Korean Society of Radiology
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• v.84 no.2
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• pp.372-385
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• 2023

Breast cancer is one of the most common cancers and causes several complications in females. Currently, MRI is a necessary method for preoperative studies in patients with breast cancer. A high frequency of breast MRI can lead to an increase in the number of incidental extramammary findings. Moreover, it can provide accurate preoperative workup; therefore, the prognosis of patients can be improved. Herein, we provide several extramammary findings, including the mediastinum, lung, upper abdomen, bone, and soft tissue, correlating with US, chest CT, liver MRI, PET-CT, and bone scan.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.24
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• pp.10739-10743
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• 2015

The present study aimed at evaluating and comparing the diagnostic performance of B-mode ultrasound (US), elastography score (ES), and strain ratio (SR) for the differentiation of breast lesions. This retrospective study enrolled 431 lesions from 417 in-hospital patients. All patients were examined with both conventional ultrasound and elastography. Two experienced radiologists reviewed ultrasound and elasticity images. The histopathologic result obtained from ultrasound-guided core biopsy or operation excisions were used as the reference standard. Pathologic examination revealed 276 malignant lesions (64%) and 155 benign lesions (36%). A cut-off point of 4.15 (area under the curve, 0.891) allowed significant differentiation of malignant and benign lesions. ROC (receiver-operating characteristic) curves showed a higher value for combination of B-mode ultrasound and elastography for the diagnosis of breast lesions. Conventional ultrasound combined elastography showed high sensitivity, specificity, and accuracy for group II lesions (10mm${\leq}20mm$). Elastography combined with conventional ultrasound show high specificity and accuracy for differentiation of benign and malignant breast lesions. Elastography is particularly important for the diagnosis of BI-RADS 4 and small breast lesions.