Comparison of various breast cancer detection methods with survival rates

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 17033-17033
Author(s):  
S. Misra ◽  
S. Tarr ◽  
D. Pratt
Keyword(s):  
Breast Cancer ◽  
Survival Time ◽  
Cancer Detection ◽  
Survival Rates ◽  
Staging System ◽  
Breast Cancer Detection ◽  
Detection Methods ◽  
Breast Cancer Patients ◽  
Estrogen Receptor Positivity

17033 Background: The role of mammography (MG) but not of breast self-exam (BSE) and clinical breast exam (CBE) in breast cancer detection and survival is well documented. This study compares the different methods of breast cancer detection and subsequent survival rates, analyzing the differences even within the same stage of the disease. Methods: Retrospective review of 1,259 patients was done using the hospital Tumor Registry data. Only patients with stage I, IIA and IIB are included and were diagnosed between April 1992 to December 2005 with follow up ranging from June 1993 to August 2006. The detection methods studied include BSE, CBE, MG and ultrasonography (USG). Parametric tests were conducted. Results: Mean age of the sample was 62 years (range 24–96). There were 293 BSE, 64 CBE, 885 MG, 17 USG detected breast cancer patients. Mean size of mass at presentation was 19 mm (range 1–110). Mean survival time for patients detected with breast cancer till August 2001 was 76 months (range 1–163). 67% patients survived 5 years or more and 12% survived more than 10 years. Mean survival for BSE/CBE and MG/USG group was 43 and 57 months respectively. This difference in survival is significant p< .05; The average survival time by stages I, IIA, IIB for BSE was 47, 45, 38 months, for CBE it was 43, 39, 51 months, for MG it was 57, 59, 50 months and for USG group it was 52, 47, 95 months respectively. Even within the same stage, the method of detection affected survival with the BSE and CBE group having less survival rates (Tukey Test mean difference 0.54, 95% C.I 42–66 and 0.38, 95% C.I 15–61) respectively than the MG group. Survival time also positively correlated with cancer recurrence (r =.7), family history (r = .06) and negatively correlated with age (r = -.09), size of tumor (r = -.09), estrogen receptor positivity status (r = -.06) all with (p < 0.05). We believe this study underestimates overall survival rate as the last follow up date was taken as an end point and also the survival rates are not disease specific survival. Conclusions: MG/USG group show higher survival rates compared to BSE/CBE across the early stages of breast cancer. Even within the same stage, the method of detection affects survival with MG/USG detected cases having more favorable outcomes. May be our current staging system for breast cancer is inadequate and needs revision. No significant financial relationships to disclose.

Prognosis of breast cancer in patients with peritoneal metastasis.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e11509-e11509
Author(s):  
Ibrahim Petekkaya ◽  
Veysel Ayyildiz ◽  
Cemal Kizilarslanoglu ◽  
Ugur Sahin ◽  
Gamze Gezgen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Survival Time ◽  
Cancer Patients ◽  
Survival Data ◽  
Peritoneal Metastasis ◽  
Survival Rates ◽  
Peritoneal Metastases ◽  
Breast Cancer Patients ◽  
Er Positive

e11509 Background: Distant spread from breast cancer is commonly found in bones, lungs, liver, and central nervous system. However, peritoneal involvement is unusual and unexpected. The aim of the study was to perform a comprehensive analysis of breast cancer patients with peritoneal metastases. Methods: Twenty-one (0.9% of the cohort) breast cancer patients with peritoneal metastases were detected out of a database of 2,219 breast cancer patients treated in Hacettepe University Medical Oncology Department. Clinical characteristics, follow up times and survival rates were analyzed. Results: The mean age of the 21 patients at the time of peritoneal metastasis was 56 years (38-71). 12 (57.1%) patients were post-menopausal, 6 (28.6%) patients were pre-menopausal. Numbers of deceased patients were 7 (33.3%). Seven (33.3%) patients’ histological subtypes were invasive ductal carcinoma (IDC), five (23.8%) patients’ were invasive lobular carcinoma (ILC) and three (14.3%) patients’ were mixed (IDC and ILC). Numbers of luminal A patients were 8 (38.1%), luminal B were 5 (23.8%), triple negative were 2 (9.5%). There was no Her-2 overexpressing patient and numbers of unknown molecular subtype patients were 6 (28.6%). The median follow up times after peritoneal disease in patients deceased and living were 9.3 (range: 0.4-23.3) months and 15.6 (range: 0.3-40.4) months, respectively. Median follow up time after peritoneal metastasis of ER positive patients was 13.7 months, and it was longer than ER negative patients (4.4 months). Six months and one year survival rates after peritoneal metastasis were 83.3% and 73.3%, respectively. Disease free, progression free and overall survival data could not be obtained due to inadequate number of events. Conclusions: Peritoneal metastasis of breast cancer is very rare and median survival time is controversial in literature. Despite of a small cohort, we found the patients’ follow up times longer than reported before. Especially, ER positive patients have longer survival time than ER negative, and this result highlights the importance of hormonotherapies.

Digital Mammograms with Image Enhancement Techniques for Breast Cancer Detection: A Systematic Review

2021 ◽  
Vol 17 ◽  
Author(s):  
Saifullah Harith Suradi ◽  
Kamarul Amin Abdullah
Keyword(s):  
Breast Cancer ◽  
Image Quality ◽  
Image Enhancement ◽  
Cancer Detection ◽  
Mean Squared Error ◽  
Survival Rates ◽  
Curvelet Transform ◽  
Breast Cancer Detection ◽  
Online Databases ◽  
Fast Discrete Curvelet Transform

Background: Digital mammograms with appropriate image enhancement techniques will improve breast cancer detection, and thus increase the survival rates. The objectives of this study were to systematically review and compare various image enhancement techniques in digital mammograms for breast cancer detection. Methods: A literature search was conducted with the use of three online databases namely, Web of Science, Scopus, and ScienceDirect. Developed keywords strategy was used to include only the relevant articles. A Population Intervention Comparison Outcomes (PICO) strategy was used to develop the inclusion and exclusion criteria. Image quality was analyzed quantitatively based on peak signal-noise-ratio (PSNR), Mean Squared Error (MSE), Absolute Mean Brightness Error (AMBE), Entropy, and Contrast Improvement Index (CII) values. Results: Nine studies with four types of image enhancement techniques were included in this study. Two studies used histogram-based, three studies used frequency-based, one study used fuzzy-based and three studies used filter-based. All studies reported PSNR values whilst only four studies reported MSE, AMBE, Entropy and CII values. Filter-based was the highest PSNR values of 78.93, among other types. For MSE, AMBE, Entropy, and CII values, the highest were frequency-based (7.79), fuzzy-based (93.76), filter-based (7.92), and frequency-based (6.54) respectively. Conclusion: In summary, image quality for each image enhancement technique is varied, especially for breast cancer detection. In this study, the frequency-based of Fast Discrete Curvelet Transform (FDCT) via the UnequiSpaced Fast Fourier Transform (USFFT) shows the most superior among other image enhancement techniques.

scholarly journals Dietary fibre and risk of colorectal cancer in the Breast Cancer Detection Demonstration Project (BCDDP) follow-up cohort

2003 ◽  
Vol 32 (2) ◽  
pp. 234-239 ◽  
Author(s):  
Volker Mai ◽  
Andrew Flood ◽  
Ulrike Peters ◽  
James V Lacey ◽  
Catherine Schairer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Colorectal Cancer ◽  
Cancer Detection ◽  
Dietary Fibre ◽  
Breast Cancer Detection ◽  
Demonstration Project

Potential Use of Biomarkers to Augment Clinical Decisions for the Early Detection of Breast Cancer

2014 ◽  
Vol 10 (02) ◽  
pp. 103 ◽  
Author(s):  
Alan B Hollingsworth ◽  
David E Reese ◽  
◽  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Sensitivity And Specificity ◽  
Cancer Detection ◽  
Survival Rates ◽  
High Sensitivity ◽  
Standard Of Care ◽  
Serum Biomarkers ◽  
Breast Cancer Detection ◽  
Breast Cancers

Breast cancer remains a significant worldwide health problem, despite the fact that early detection is associated with excellent survival rates. Currently, a substantial proportion of breast cancers are not detected using routine screening. Therefore, there is a need to identify a technology that can improve the precision and accuracy of early breast cancer detection. Biomarkers are attractive in that they can potentially detect early cancers with high sensitivity, while distinguishing between benign disease and invasive cancers. Many commonly used serum biomarkers have limited use in screening assays for breast cancer as single agents due to the heterogeneous nature of breast cancer. However, the use of protein panels that detect multiple serum biomarkers offer the potential for enhanced sensitivity and specificity in a clinical setting. Recently, a serum biomarker test comprising five serum biomarkers for breast cancer was clinically validated and showed high sensitivity and specificity. Additional panels have been developed that combine serum protein biomarkers (SPB) and tumor-associated autoantibodies (TAb) to further enhance the clinical utility of the assay. Serum biomarkers are currently not the standard of care and are not recommended in any detection guidelines. However, tumor biomarkers are used in the breast cancer setting to determine the course of care. The purpose of this article is to review recent advances in SPB, TAb, and biomarkers used in breast cancer detection to provide a perspective on how these technologies may offer benefit when combined with current imaging modalities.

EXPERIMENTAL STUDY ON RADAR-BASED BREAST CANCER DETECTION USING UWB ANTENNAS WITHOUT BACKGROUND SUBTRACTION

2011 ◽  
Vol 23 (05) ◽  
pp. 383-391 ◽  
Author(s):  
Dan Zhang ◽  
Atsushi Mase
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Background Subtraction ◽  
Breast Cancer Detection ◽  
Ultra Wideband ◽  
Breast Cancer Patients ◽  
Uwb Antennas ◽  
Pulse Radar ◽  
Reflection Data ◽  
Cancer Tumor

An ultrashort-pulse radar using ultra-wideband (UWB) antennas such as compact Vivaldi antennas has been applied to the simulation experiment of breast cancer detection. A cooking-oil model and a commercial-made synthetic breast phantom model, which have been developed, as well as with real breast cancer patients during initial clinical trials have been used in our experiment. We detect the breast cancer tumor without using the background subtraction method. Image reconstructions of the breast models using reflection data have been performed by use of confocal microwave imaging (CMI) technique.

scholarly journals Breast Cancer Detection from a Urine Sample by Dog Sniffing

2020 ◽  
Author(s):  
Shoko Kure ◽  
Shinya Iida ◽  
Marina Yamada ◽  
Hiroyuki Takei ◽  
Naoyuki Yamashita ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Urine Samples ◽  
Malignant Diseases ◽  
Breast Cancer Patients ◽  
Double Blind ◽  
Blind Test ◽  
Detect Breast Cancer

Abstract Background: Breast cancer is a leading cause of cancer death worldwide. Several studies have demonstrated that dog can sniff and detect cancer in the breath or urine sample of a patient. Objective: The aim of this study is to assess whether the trained dog can detect breast cancer from urine samples.Methods: A nine-year-old female Labrador Retriever was trained to identify cancer from urine samples of breast cancer patients. Urine samples from patients histologically diagnosed with primary breast cancer, those with non-breast malignant diseases, and healthy volunteers were obtained, and a double-blind test was performed. Results: 40 patients with breast cancer, 142 patients with non-breast malignant diseases, and 18 healthy volunteers were enrolled, and their urine samples were collected. In 40 times out of 40 runs of a double-blind test, the trained dog could correctly identify urine samples of breast cancer patients. Sensitivity and specificity of this breast cancer detection method using dog sniffing were both 100%.Conclusions: The trained dog in this study could accurately detect breast cancer from urine samples of breast cancer patients. These results indicate the feasibility of a method to detect breast cancer from urine samples using dog sniffing in the diagnosis of breast cancer.

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