scholarly journals COMPARISON OF PEROMETRY-BASED VOLUMETRIC ARM MEASUREMENTS AND BIOIMPEDANCE SPECTROSCOPY FOR EARLY IDENTIFICATION OF LYMPHEDEMA IN A PROSPECTIVELY-SCREENED COHORT OF BREAST CANCER PATIENTS

Lymphology ◽  
2021 ◽  
Vol 54 (1) ◽  
Author(s):  
T.C. Gillespie ◽  
S.A. Roberts ◽  
C.L. Brunelle ◽  
L.K. Bucci ◽  
M.C. Bernstein ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
International Organizations ◽  
Early Identification ◽  
Relative Volume ◽  
Screening Methods ◽  
Bioimpedance Spectroscopy ◽  
Breast Cancer Patients ◽  
Multiple Thresholds ◽  
Breast Cancer Related Lymphedema

Breast cancer-related lymphedema (BCRL) affects more than one in five women treated for breast cancer, and women remain at lifelong risk. Screening for BCRL is recommended by several national and international organizations for women at risk of BCRL, and multiple methods of objective screening measurement exist. The goal of this study was to compare the use of perometry and bioimpedance spectroscopy (BIS) for early identification of BCRL in a cohort of 138 prospectively screened patients. At each screening visit, a patient's relative volume change (RVC) from perometer measurements and change in L-Dex from baseline (ΔL-Dex) using BIS was calculated. There was a negligible correlation between RVC and ΔL-Dex (r=0.195). Multiple thresholds of BCRL were examined: RVC ≥5% and ≥10% as well as and ΔL-Dex ≥6.5 and ≥10. While some patients developed an elevated RVC and ΔL-Dex, many demonstrated elevations in only one threshold category. Moreover, the majority of patients with RVC ≥5%, ΔL-Dex ≥6.5, or ΔL-Dex ≥10 regressed to non-elevated measurements without intervention. These findings suggest a role for combining multiple screening methods for early identification of BCRL; furthermore, BCRL diagnosis must incorporate patient symptoms and clinical evaluation with objective measurements obtained from techniques such as perometry and bioimpedance spectroscopy.

scholarly journals Serum N-glycan profiles differ for various breast cancer subtypes

2021 ◽  
Author(s):  
Gerda C. M. Vreeker ◽  
Kiki M. H. Vangangelt ◽  
Marco R. Bladergroen ◽  
Simone Nicolardi ◽  
Wilma E. Mesker ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Cancer Patients ◽  
High Resolution Mass Spectrometry ◽  
Case Control ◽  
Total Serum ◽  
Screening Methods ◽  
Breast Cancer Patients ◽  
Cancer Subtypes ◽  
Control Comparison

AbstractBreast cancer is the most prevalent cancer in women. Early detection of this disease improves survival and therefore population screenings, based on mammography, are performed. However, the sensitivity of this screening modality is not optimal and new screening methods, such as blood tests, are being explored. Most of the analyses that aim for early detection focus on proteins in the bloodstream. In this study, the biomarker potential of total serum N-glycosylation analysis was explored with regard to detection of breast cancer. In an age-matched case-control setup serum protein N-glycan profiles from 145 breast cancer patients were compared to those from 171 healthy individuals. N-glycans were enzymatically released, chemically derivatized to preserve linkage-specificity of sialic acids and characterized by high resolution mass spectrometry. Logistic regression analysis was used to evaluate associations of specific N-glycan structures as well as N-glycosylation traits with breast cancer. In a case-control comparison three associations were found, namely a lower level of a two triantennary glycans and a higher level of one tetraantennary glycan in cancer patients. Of note, various other N-glycomic signatures that had previously been reported were not replicated in the current cohort. It was further evaluated whether the lack of replication of breast cancer N-glycomic signatures could be partly explained by the heterogenous character of the disease since the studies performed so far were based on cohorts that included diverging subtypes in different numbers. It was found that serum N-glycan profiles differed for the various cancer subtypes that were analyzed in this study.

scholarly journals Screening Practices among First Degree Relatives of Breast Cancer Patients in Nepal

2019 ◽  
Author(s):  
Rashmi Mulmi ◽  
Gambhir Shrestha ◽  
Surya Raj Niraula ◽  
Deepak Kumar Yadav ◽  
Paras Kumar Pokharel
Keyword(s):  
Breast Cancer ◽  
Logistic Regression ◽  
Cancer Patients ◽  
Screening Methods ◽  
Multiple Logistic Regression ◽  
Breast Cancer Patients ◽  
Screening Practices ◽  
First Degree Relatives ◽  
Regular Screening ◽  
High Level

Abstract Background Family history is a significant risk factor for development of breast cancer, particularly for women of first-degree relatives. For women at high risk for breast cancer, regular screening is the mainstay of risk management. This study aims to find out the breast cancer screening practices among first degree relatives of breast cancer patient and determine factors associated with their screening practices.Methods A cross-sectional study was carried out among 150 purposively selected first-degree female relatives of breast cancer patients undergoing treatment at B.P Koirala Memorial Cancer Hospital, aged between 20 and 60 years. A semi-structured questionnaire was used to collect data by face to face interview. Screening practices were characterized as regular screening practices performed by the respondents, which include any of these screening methods: monthly breast self-examination or clinical examination yearly at least once in 3 years or regular mammogram 1 or 2 yearly. Level of awareness was categorized into two categories ‘high level’ and ‘low level’ taking median score as the cut-off value. Chi-square tests and multiple logistic regression were used to test the association between screening practices and related factors.Results The mean age of the participants was 37.6 years (SD 10.9). A total of 38.7% had practiced regular breast screening methods. Only two-fifth of them had a high level of awareness on risk factors and warning signs of breast cancer. In multiple logistic regression, literate (OR 7.13, 95% CI 2.32-21.10), economic status above poverty line (OR 2.62, 95% CI 1.01-6.80), presence of benign breast disease (OR 5.10, 95% CI 1.31-19.84) and high perceived risk of breast cancer (OR 14.17, 95% CI 5.10-39.41) were found to be significant positive predictors of regular screening practices.Conclusions This study showed a low rate of regular screening practices among the first degree relatives of breast cancer patients. There is a need to provide comprehensive, updated, and inclusive information and support and interventions aimed at increasing awareness of the importance of healthy behaviors in cancer prevention among these high-risk groups.

scholarly journals Undertreatment or overtreatment – how far from each other in geriatric oncology?

2020 ◽  
Vol 2 (1) ◽  
pp. 18-25
Author(s):  
Janusz Kocik
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Older Patients ◽  
Cancer Survival ◽  
Treatment Options ◽  
Geriatric Oncology ◽  
Premature Death ◽  
Screening Methods ◽  
Breast Cancer Patients ◽  
Choice Of Treatment

The mortality due to cancers of older patients, in age above 65 years of life, in comparison to younger is higher in majority of these diseases. It has been also reported that seniors are frequently denied the treatment according to current standards of therapy, thus suffer from undertreatment. There is solid evidence from controlled trials that older patients may tolerate pharmacological therapies in some cancers as well as young, providing they are under good supportive care. At the same time aggressive multimodal treatment may cause immediate or delayed side effects and exhaustion of reserves of the vital organs in elderly. This may cause a general deterioration, a decompensation of comorbidities, an evolution of geriatric syndromes and premature death, not directly caused by cancer. Such situation in aged cancer patients should be called the overtreatment. In diseases with better prognosis, with effective screening methods and large choice of treatment options like breast cancer, survival is getting better, although not in the eldest. The worse prognosis in old breast cancer patients may be caused to some extent by undertreatment. More fatal tumors like NSCLC await further optimization of cancer therapy towards better toxicity profile to avoid overtreatment.

scholarly journals Automated breast cancer detection system from breast mammogram using deep neural network

2022 ◽  
Vol 25 (1) ◽  
pp. 580
Author(s):  
Suneetha Chittineni ◽  
Sai Sandeep Edara
Keyword(s):  
Breast Cancer ◽  
Neural Network ◽  
Cancer Patients ◽  
Optimization Algorithm ◽  
Deep Neural Network ◽  
Detection System ◽  
Early Stage ◽  
Screening Methods ◽  
Breast Cancer Patients ◽  
Data Set

<p>All over the world breast cancer is a major disease which mostly affects the women and it may also cause death if it is not diagnosed in its early stage. But nowadays, several screening methods like magnetic resonance imaging (MRI), ultrasound imaging, thermography and mammography are available to detect the breast cancer. In this article mammography images are used to detect the breast cancer. In mammography image the cancerous lumps/microcalcifications are seen to be tiny with low contrast therefore it is difficult for the doctors/radiologist to detect it. Hence, to help the doctors/radiologist a novel system based on deep neural network is introduced in this article that detects the cancerous lumps/microcalcifications automatically from the mammogram images. The system acquires the mammographic images from the mammographic image analysis society (MIAS) data set. After pre-processing these images by 2D median image filter, cancerous features are extracted from the images by the hybridization of convolutional neural network with rat swarm optimization algorithm. Finally, the breast cancer patients are classified by integrating random forest with arithmetic optimization algorithm. This system identifies the breast cancer patients accurately and its performance is relatively high compared to other approaches.</p>

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