IGF-1 and IGF-2 serum concentrations in patients with benign and malignant breast cancer: Free IGF-2 is correlated with breast tumor size

2002 ◽  
Vol 38 (11) ◽  
pp. S54
Author(s):  
C Singer
Keyword(s):  
Breast Cancer ◽  
Tumor Size ◽  
Breast Tumor ◽  
Serum Concentrations ◽  
Malignant Breast

Logistic Regression and Artificial Neural Network: A Comparative Study in Diagnosing Breast Cancer

2021 ◽  
pp. 6330-6334
Author(s):  
W. Abdul Hameed ◽  
Anuradha D. ◽  
Kaspar S.
Keyword(s):  
Breast Cancer ◽  
Neural Network ◽  
Artificial Neural Network ◽  
Logistic Regression ◽  
Breast Tumor ◽  
Diagnostic Performance ◽  
Malignant Breast Tumor ◽  
Malignant Breast ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Breast tumor is a common problem in gynecology. A reliable test for preoperative discrimination between benign and malignant breast tumor is highly helpful for clinicians in culling the malignant cells through felicitous treatment for patients. This paper is carried out to generate and estimate both logistic regression technique and Artificial Neural Network (ANN) technique to predict the malignancy of breast tumor, utilizing Wisconsin Diagnosis Breast Cancer Database (WDBC). Our aim in this Paper is: (i) to compare the diagnostic performance of both methods in distinguishing between malignant and benign patterns, (ii) to truncate the number of benign cases sent for biopsy utilizing the best model as an auxiliary implement, and (iii) to authenticate the capability of each model to recognize incipient cases as an expert system.

Diagnostic Values of Breast Imaging Reporting and Data System and ultrasound Elastography in Benign and Malignant Breast Tumor

2016 ◽  
Vol 13 (10) ◽  
pp. 6509-6513
Author(s):  
Xin-Hua Lu
Keyword(s):  
Breast Cancer ◽  
Roc Curve ◽  
Predictive Value ◽  
Breast Tumor ◽  
Breast Imaging ◽  
Data System ◽  
Ultrasound Elastography ◽  
Malignant Breast Tumor ◽  
Diagnostic Values ◽  
Malignant Breast

Objective: To evaluate the diagnostic values of Breast Imaging Reporting and Data System (BI-RADS), ultrasound elastography (UE) and the combination in differentiating benign and malignant breast tumor. Methods: The BI-RADS and UE image features of 248 breast cancer patients (a total of 260 lesions) proved by surgery and pathology from February 2013 to March 2015 were retrospectively analyzed. With the pathologic results as the gold standard, the sensitivity, specificity, positive and negative predictive values, and accuracy were calculated for BI-RADS, UE and the combination. On the basis of the sensitivity and specificity, they were analyzed by receiver operating characteristic (ROC) curve. Results: In all 260 lesions, 71 lesions were benign and 189 were malignant according to UE diagnosis; 50 lesions were benign and 210 were malignant proved by BI-RADS; 55 lesions were benign and 205 were malignant diagnosed by the combination. The sensitivity (86.09%), specificity (61.64%), positive predictive value (85.19%), negative predictive value (63.38%), and accuracy (79.23%) of ultrasound elastography were all less than that of BI-RADS (98.39%, 64.38%, 88.85%, 87.62%, 94.00%) and the combination (99.47%, 73.97%, 92.31%, 90.73%, 98.18%). The areas under the ROC curve for UE, BI-RADS and the combination were respectively 0.746[95%CI(0.673–0.818)], 0.814[95%CI(0.744–0.884)] and 0.867[95%CI(0.805–0.929)]. Conclusion: Ultrasonic BI-RADS can be the first choice for diagnosing breast cancer, with UE as the auxiliary method. The combined application can further improve the diagnosis rate of benign and malignant breast tumor.

scholarly journals Sex Steroid Hormones in Serum and Tissue of Benign and Malignant Breast Tumor Patients

2000 ◽  
Vol 16 (3-4) ◽  
pp. 151-157 ◽  
Author(s):  
Essam A. Mady ◽  
Ezz El-Din H. Ramadan ◽  
Alaa A. Ossman
Keyword(s):  
Breast Cancer ◽  
Postmenopausal Women ◽  
Steroid Hormones ◽  
Breast Tumor ◽  
Tumor Tissue ◽  
Breast Tumors ◽  
Sex Steroid ◽  
Malignant Breast Tumor ◽  
Malignant Breast ◽  
Benign Breast Tumors

The ability of breast tumors to synthesize sex steroid hormones is well recognized and their local production is thought to play a role in breast cancer development and growth. The aim of this study was to estimate local intra-tumoral and circulating levels of Estrone (E1), Estrone Sulfate (E1S), Estradiol (E2), Estriol (E3), and Testosterone (T) in 33 pre- and postmenopausal women with primary breast cancer in comparison to 12 pre- and postmenopausal women with benign breast tumors. The mean levels of the studied sex hormones were higher in serum and tumor tissue of breast cancer women than those with benign breast tumors apart from Testosterone which showed a significant decrease in pre- and postmenopausal women with breast cancer (P< 0.001 for follicular phase,P< 0.001 for luteal phase, andP< 0.001 for postmenopausal). The levels of the five hormones were significantly higher intra-tumoral than in serum of both benign and malignant breast tumor women with E1S as the predominant estrogen. There was only a positive significant correlation between serum and tumor tissue levels of E1(rs= 0.52,P< 0.05 for follicular;rs= 0.63,P< 0.05 for luteal andrs= 0.58,P< 0.05 for postmenopausal) and a significant correlation between serum and tumor tissue of T (rs= 0.64,P< 0.05 for follicular;rs= -0.51,P< 0.05 for luteal andrs= -0.81,P< 0.04 for postmenopausal).

scholarly journals Clinical value of peripheral blood M2/M1 like monocyte ratio in the diagnosis of breast cancer and the differentiation between benign and malignant breast tumors

2019 ◽  
Author(s):  
Mustafa Fadhil ◽  
Omar Abdul- Rasheed ◽  
Manwar Al-Naqqash
Keyword(s):  
Breast Cancer ◽  
Tumor Progression ◽  
Cancer Patients ◽  
Peripheral Blood ◽  
Breast Tumor ◽  
Healthy Subjects ◽  
Breast Tumors ◽  
Breast Cancer Patients ◽  
Cancer Tumor ◽  
Malignant Breast

Background: During tumor progression, circulating monocytes and macrophages are actively recruited into tumors where they alter the tumor microenvironment to accelerate tumor progression. In response to multiple microenvironmental signals from the tumor and stromal cells, macrophages change their functional phenotypes. Based on their function, macrophages are commonly classified into both, classical M1 and alternative M2 macrophages. M2-like tumor-associated macrophages promote breast tumor growth and survival, and may migrate into the peripheral blood. However, the level of circulating M2/M1-like monocyte ratio in the peripheral blood of breast cancer patients has not been yet clarified. Aim: To compare peripheral blood M2/M1 monocyte ratio among breast cancer patients, benign breast tumor patients and healthy subjects. Also, to investigate the role of peripheral blood M2/M1 monocyte ratio as a circulating breast cancer tumor marker and to asses the validity of this marker in differentiation between benign and malignant breast tumors. Methods: Flow cytometry technique was used to determine the peripheral blood M2/M1 monocyte ratio in three groups of subjects, i.e. 45 patients with breast cancer, 40 patients with benign breast tumor, and 40 healthy subjects as a control group. The results of carbohydrate antigen15-3 (CA15-3) determination were analyzed comparatively. Results: The peripheral blood M2/M1 monocyte ratio in patients with breast cancer (0.27±0.1) was significantly higher (P<0.001) than that in healthy subjects (0.07±0.05) and than in benign tumor subjects (0.08±0.04). The area under the receiver operating characteristic (ROC) curve of peripheral blood M2/M1 monocyte ratio determination was significantly higher (P≤0.001) than that of CA15-3 levels. Conclusion: M2/M1-like monocyte ratio is of a high diagnostic value for breast cancer and is a promising differentiating marker between benign and breast cancer tumor groups.

A Prospective Two Center Study Comparing Breast Cancer Lesion Size Defined by 2D Shear Wave Elastography, B-Mode Ultrasound, and Mammography with the Histopathological Size

2018 ◽  
Vol 40 (02) ◽  
pp. 212-220 ◽  
Author(s):  
Andre Farrokh ◽  
Linn Treu ◽  
Ralf Ohlinger ◽  
Carolin Flieger ◽  
Nicolai Maass ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Shear Wave ◽  
Tumor Size ◽  
Lobular Carcinoma ◽  
Shear Wave Elastography ◽  
Lesion Size ◽  
Imaging Methods ◽  
Malignant Breast ◽  
The One ◽  
A Prospective Study

Abstract Purpose The aim of the present study was to determine the accuracy of breast cancer measurement with 2 D shear wave elastography (2 D SWE), B-mode ultrasound, and mammography by comparing these methods with the actual histopathological tumor size. Materials and Methods 135 patients with proven malignant breast lesions at two centers were included in a prospective study. The maximum lesion diameter was measured by 2 D SWE, B-mode ultrasound, and mammography. After surgery, the histopathological tumor size was measured by a pathologist. Results The mean difference in tumor size on 2 D SWE, B-mode ultrasound, and mammography on the one hand, and the actual tumor size on the other, was –0.03 cm, 0.16 cm and 0.10 cm, respectively. Lesion size on histopathological investigation was overestimated by 2 D SWE (p = 0.004) and underestimated by B-mode imaging (p < 0.001). All three imaging methods underestimated the size of invasive lobular cancers and lesions > 15 mm; 2 D SWE was most accurate in this regard. Conclusion 2 D SWE predicted lesion size more precisely than B-mode ultrasound or mammography. In cases of invasive lobular carcinoma, all three imaging methods underestimated lesion size, with 2 D SWE coming closest to the actual tumor size.

Microcalcification-associated breast cancer: HER2-enriched molecular subtype is associated with mammographic features

2018 ◽  
pp. 20170942 ◽  
Author(s):  
Zhong Nie ◽  
Jian Wang ◽  
Xiao-chun Ji
Keyword(s):  
Breast Cancer ◽  
Tumor Size ◽  
Breast Tumor ◽  
Molecular Subtype ◽  
Univariate Analysis ◽  
Breast Cancers ◽  
Tumor Mass ◽  
Tumor Phenotype ◽  
Mass Lesions ◽  
Small Tumor Size

Purpose: To investigate whether the mammographic features were different between breast cancer HER2-enriched molecular subtype and non-HER2-enriched molecular subtype. Methods: 283 microcalcification-associated breast cancers were identified (HER2-enriched: n = 57; non-HER2-enriched: n = 226). Mammographic tumor mass and calcification features in relation to HER2 molecular subtype were analyzed. Results: On univariate analysis, HER2-enriched molecular subtype rates were significantly higher (a) in tumor size <= 2 cm 33 of 57 [57.9%]) than in tumor size >2 cm lesions (22 of 226 [9.7%]) (p = 0.007), (b) in non-spiculated mass 39 of 57 [68.4%]) than in spiculated mass lesions (18 of 226 [7.9%]) (p = 0.034)，(c) in calcifications extent >2 cm (41of 57 [71.9%]) lesions than in calcifications extent <= 2 cm lesions (16 of 226 [7.1%]) (p < 0.001)and (d) in calcification density ＞20/cm2 (44 of 57 [71.2%]) lesions than in calcification density <= 20/cm2 lesions (13 of 226 [5.8%]) (p = 0.034).On multivariate analysis, three mammographic features (tumor size >2 cm vs size⩽2 cm OR: 0.415 95% CI: 0.215 to 0.802, p = 0.009, spiculated mass vs non-spiculated mass OR: 0.226 95% CI: 0.114 to 0.446, p < 0.001 and calcifications extent >2 cm vs calcifications extent <= 2 cm OR: 7.754, 95% CI: 3.100 to 19.339P < 0.001) were independent predictors. Our results indicated that small tumor size, non-spiculated mass and calcification extent >2 cm are more likely to be HER2 molecular subtype. The discrimination of this model, as quantified by the AUC, was 0.751 (95%CI: 0.701 to 0.854). Conclusion: Our study presents a prediction model that incorporates the mammographic features of tumor size, non-spiculated mass and calcification extent, which can potentially be used to preoperative predict breast cancer HER2-enriched subtype. Advancesinknowledge: Mammographic features can noninvasively visualize breast tumor phenotype characteristics.

scholarly journals The effects of dielectric values, breast and tumor size on the detection of breast tumor

2019 ◽  
Vol 13 (3) ◽  
pp. 197-203
Author(s):  
Nuşin Uncu ◽  
Emine Avşar Aydin
Keyword(s):  
Breast Cancer ◽  
Tumor Size ◽  
Breast Tumor ◽  
Breast Tissue ◽  
Simulation Software ◽  
Breast Size ◽  
Microwave Frequencies ◽  
Large Breast ◽  
High Level ◽  
Cancerous Cells

Although breast cancer is the second main cause of female deaths after lung cancer, early diagnosis plays a crucial role to diminish the death rate. Many techniques have been improved to detect the cancerous cells. At different microwave frequencies, the malignant cells indicate different electrical characteristics as compared to the normal cells. According to these frequencies, the breast tissue is more permeable than other tissues such as the brain and muscle. Due to this property of the breast tissue, microwaves can be used for the detection of breast cancer. In this study, the breast prototype was modelled using the CST STUDIO SUITE electromagnetic simulation software with respect to different breast size, tumor size and dielectric values tested at a range of the 0-3.0 GHz frequency. The objective of this paper is to investigate the effects of each factor and the interactions of factors on detecting cancer cells using the factorial analysis. The results indicate that the factors such as fat and skin permittivity, tumor and breast sizes are more effective in the detection of breast tumor. Although the effect of fibro permittivity is not significant alone, there are considerable interaction effects of a large breast size and small tumor size through low-to-high values of fibro permittivity. Furthermore, the combinations of a breast radius smaller than almost 8.5 cm with a high level tumor radius and breast radius larger than 8.5 cm with a low level tumor radius are desirable for lessening the return loss value.

scholarly journals Study characteristics affecting the responses to neoadjuvant chemotherapy and the prognosis of patients with bilateral breast cancer: A retrospective analysis

2019 ◽  
Author(s):  
Zhenrong Tang ◽  
Yihua Wang ◽  
Luo Yang ◽  
Ling Chen ◽  
Yingzi Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Survival Time ◽  
Tumor Size ◽  
Breast Tumor ◽  
Molecular Subtype ◽  
Clinical Stage ◽  
Axillary Lymph ◽  
Tumor Type ◽  
Survival Times ◽  
The Right

Abstract BackgroundBilateral breast cancer (BBC) is defined as breast cancer diagnosed in both breasts in the same patient. Neoadjuvant chemotherapy (NAC) is a well-established approach to evaluate the tumor response to chemotherapeutic agents. The consensus is that different responses in characteristics after NAC can affect prognosis in unilateral breast cancer (UBC), but little is known about the responses of the BBC to NAC. This analysis explored the characteristics that can affect the prognosis of patients with BBC.MethodsThe characteristics of patients diagnosed with BBC (n = 126) was collected and the immunohistochemistry staining was used to detect expression levels of estrogen receptor (ER), progesterone receptor (PR), Ki67, and HER2. A statistical analysis of the differences was performed to identify the factors that affect survival times in all patients with BBC.ResultsA logistic regression indicated that the status of sentinel and axillary lymph node, expression of PR of the right breast tumor, and molecular subtype of the right breast tumor might relate to survival times. Tumor size, status of axillary lymph node, clinical stage, tumor type, histological grade, and molecular subtype of the left breast tumor might have a more profound effect on the survival time than the right breast tumor in the synchronous breast cancer (SBBC) patients. A multivariate analysis of overall survival times in patients with metachronous breast cancer (MBBC) showed that age was the only factor affecting survival time. After NAC treatment in SBBC patients, the Kaplan-Meier survival estimate showed that a decrease in tumor size, clinical stage, Ki67 and P53 levels were positive for a prolonged life span. However, a decrease in ER, PR, and HER2 were negative for prolonged life span. Changes in tumor type and molecular subtype also influenced the survival time.ConclusionCharacteristic changes in the left breast tumor were significant factors affecting survival times in patients with SBBC. After NAC treatment, changes in tumor size, Ki67, P53, ER, PR, and HER2 might affect the prognosis of patients with SBBC. For MBBC, only age was a factor affecting survival time. These findings provide clinical insight for the treatment of patients with BBC.

Sign in / Sign up

Export Citation Format

Share Document