scholarly journals Preventive examinations participation and satisfaction of women in peri- and postmenopausal age

2017 ◽  
Vol 127 (1) ◽  
pp. 14-19
Author(s):  
Witold Kołłątaj ◽  
Magda Sowa ◽  
Piotr Książek ◽  
Anna Jurek ◽  
Piotr Dreher

Abstract Introduction. Breast cancer is the second major cause of death in the world, after lung cancer. The purpose of screening tests is to diagnose cancer at non-clinical symptoms stage, when the prognosis is good and treatment less costly. Among different currently available screening methods, mammography plays a key role in early breast cancer detection. Aim. The purpose of this work was to evaluate women’s in pre- and postmenopausal age in Lublin basic knowledge about preventive examination, their participation level and satisfaction with mammography. Material and methods. The study included 258 women, participants of mammography examination at the Witold Chodzko Institute of Rural Health in Lublin and in Specialist Clinic of the Stefan Cardinal Wyszynski Province Specialist Hospital in Lublin, at the turn of years 2011/2012. The research method was a diagnostic survey and research tool – the Original Questionnaire. Results. An opinion that prophylaxis should come as a result of aware lifestyle is not common (22.1% of participants is committed to expand their knowledge about health threats). Almost 20% of women has never participated in any prevention examination. Approximately 39% of respondents admitted that they have received an invitation for free examination in mammography mobile unit (MMU). Almost 52% respondents (out of those who correctly identified the term MMU) said that they are interested in visiting MMUs in the future. Conclusions. The number of participants taking part in preventive examinations and in screening tests is unsatisfactory. Numerous subjective factors cause this situation. Many women still does not trust mammography tests made in mobile mammography facilities.

2018 ◽  
Vol 7 (9) ◽  
pp. 205846011879121 ◽  
Author(s):  
Georg J Wengert ◽  
Thomas H Helbich ◽  
Panagiotis Kapetas ◽  
Pascal AT Baltzer ◽  
Katja Pinker

Mammography, as the primary screening modality, has facilitated a substantial decrease in breast cancer-related mortality in the general population. However, the sensitivity of mammography for breast cancer detection is decreased in women with higher breast densities, which is an independent risk factor for breast cancer. With increasing public awareness of the implications of a high breast density, there is an increasing demand for supplemental screening in these patients. Yet, improvements in breast cancer detection with supplemental screening methods come at the expense of increased false-positives, recall rates, patient anxiety, and costs. Therefore, breast cancer screening practice must change from a general one-size-fits-all approach to a more personalized, risk-based one that is tailored to the individual woman’s risk, personal beliefs, and preferences, while accounting for cost, potential harm, and benefits. This overview will provide an overview of the available breast density assessment modalities, the current breast density screening recommendations for women at average risk of breast cancer, and supplemental methods for breast cancer screening. In addition, we will provide a look at the possibilities for a risk-adapted breast cancer screening.


Author(s):  
Jayashree Venugopal ◽  
Priyanka S ◽  
Reshma A

  A cancer biomarker refers to a substance or process that is used as an indicative the presence of cancer in the body. A biomarker may be a molecule secreted by a tumor or a specific response of the body to the presence of cancer. Biomarkers are utilized in three elementary ways as a diagnostic tool, prognostic tool, and predictive tool. The screening tests employed are clinical and breast exams, mammography, hereditary screening, ultrasound, and attractive reverberation imaging. Biomarkers involved in breast cancer are human epidermal growth factor-2, estrogen receptor, progesterone receptor, Cyclin D1, and Cyclin E. Specific bioactive phytoconstituents used as anticancer include curcumin, genistein, resveratrol, isothiocyanates, silymarin, diallyl sulfisoxazole, lycopene, apigenin, and gingerol. Hence, this review indicates the study of screening methods, various biomarkers in breast cancer and phytoconstituents against breast cancer.


Cancer is uncontrolled cell growth which starts consuming cell nourishment and keeps on multiplying indefinably. There are 100 plus different types of cancers that may affect any part of the body. In the past 26 years, the cancer incidence rate has been changed drastically in India. To control it early-stage detection of cancer plays a very important role. Early-stage detection of cancer helps in better diagnosis will also lower the chances of dying due to this deadly disease. It will impact considerably on the patient’s recovery when it is more treatable. Early Cancer detection or premalignant disease detection in the human body is possible through screening tests. Several screening methods have been tested, applied and proven to be very much efficient in reducing death rate due to cancer. This paper survey’s how learning techniques can be efficiently applied, tested and showed promising results in early-stage cancer detection through several screening methods.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 1545-1545
Author(s):  
Geoffrey R. Oxnard ◽  
Xiaoji Chen ◽  
Eric T. Fung ◽  
Ting Ma ◽  
Jafi Lipson ◽  
...  

1545 Background: Screening tests for early cancer detection are often criticized due to risk of overdiagnosis—detection of good prognosis cancers which may not require immediate treatment. We recently reported development of cfDNA sequencing approaches for cancer detection; longitudinal follow-up (F/U) data were utilized here to evaluate prognostic significance of cancer detection using cfDNA. Methods: Plasma cfDNA samples were subjected to whole-genome bisulfite sequencing (WGBS, 30X) as part of a previously-reported Circulating Cell-free Genome Atlas (CCGA; NCT02889978) substudy. This exploratory analysis evaluated the overall survival (OS) of training and test set participants (pts) with cancer (20 cancer types, any stage I-IV). Combining train and test set pts, univariate and multivariate analyses (Cox proportional hazards) assessed OS association with WGBS result (cancer detected vs not detected, set at 98% specificity), clinical stage (IV vs I-III), diagnostic method (symptom- vs screen-detected), sex, age, and histologic grade. Results: Of 827 pts from the training set with F/U (median 12.2 mo), 334 (40.4%) had WGBS-detected cancer. Among 127 (15.4%) pts with cancer that died during F/U, cancer was detected in 104 (81.9%). Results were similar in the test set. In univariate analyses all variables were associated with prognosis, including WGBS result (HR 7.7 p<0.001). In multivariate analyses accounting for other covariates, the three variables that most significantly remained prognostic were WGBS (HR 3.0, p<0.001), clinical stage (HR 3.3, p<0.001), and diagnostic method (HR 3.0, p<0.001). Validation of these findings is ongoing in an independent cohort of ~5,000 cancer pts from CCGA using an optimized assay; updated performance results will be reported. Conclusions: Cancers detected using WGBS of cfDNA had a worse prognosis than cancers not detected. WGBS cancer detection carried comparable prognostic significance as clinical stage. By preferentially detecting higher risk cancers, cancer detection using plasma cfDNA may avoid some of the overdiagnosis that has been seen with some existing cancer screening methods. Clinical trial information: NCT02889978.


Author(s):  
D. M. Christe ◽  
S. Vijaya ◽  
K. Tharangini

Background: This study was conducted to enumerate the results of screening for non-communicable diseases in the NCD clinic over a period of one year in a tertiary health centre.Methods: The results from screening tests conducted in the NCD clinic, for detecting hypertension, diabetes mellitus, breast cancer and cervical cancer, in Government tertiary care Hospital for Women, Chennai, were recorded. The flowchart and screening methods followed were those recommended by the NHM - NPCDCS. Data thus obtained was analyzed using standard statistical methods.Results: Of 42,519 women screened for common non communicable diseases - hypertension, diabetes mellitus, breast cancer and cervical cancer, nearly 5.55% women (n = 2359) had positive results, for any one of the diseases screened. Of 11,708 women screened for diabetes mellitus and 13,971 screened for hypertension, positive results were found in 856 women and 1,216 women respectively. Around 7,568 women were screened for cervical cancer and 175 women tested positive. A large number of 9,272 women were screened for breast cancer and 112 women had positive results. As per the guidelines, women who tested positive for screening tests were referred to the concerned departments in RGGGH.Conclusions: Nearly 42,519 women were screened for common non-communicable diseases (NCDs) - hypertension, diabetes mellitus, breast cancer and cervical cancer, and 5.55% women had positive test results for any one of the diseases screened. The screening revealed, 8.7% of women had raised blood pressure, 7.31% had raised blood sugar levels, 1.21% women had positive screening test results for breast cancer, and 2.31% women for cervical cancer.


2001 ◽  
Vol 19 (5) ◽  
pp. 1462-1467 ◽  
Author(s):  
Yashuang Zhao ◽  
Sigitas J. Verselis ◽  
Neil Klar ◽  
Norman L. Sadowsky ◽  
Carolyn M. Kaelin ◽  
...  

PURPOSE: Mammograms and breast examinations are established methods for early breast cancer detection. Routine mammography screening reduces breast cancer mortality among women ages ≥ 50 years, but additional screening methods are needed. We and others have found high levels of carcinoembryonic antigen (CEA) and prostate-specific antigen (PSA) in nipple aspirate fluids (NAFs), but the usefulness for these bio-markers for early breast cancer detection is unknown. PATIENTS AND METHODS: NAFs from one or both breasts of 388 women were analyzed for CEA, PSA, and albumin levels. The study included 44 women with newly diagnosed invasive breast cancers, 67 women with proliferative breast lesions (ductal and lobular carcinoma in situ and atypical ductal hyperplasia), and 277 controls without these breast lesions. Analyses were conducted using the log10-transformed CEA and PSA levels to normalize the distributions of these tumor markers. RESULTS: Nipple fluid CEAs are significantly higher for cancerous breasts than tumor-free breasts (median 1,830 and 1,400 ng/mL, respectively; P < .01). However, at 90% specificity of the assay (CEA = 11,750 ng/mL), the corresponding sensitivity for cancer detection is 32%. CEA levels are not significantly different for breasts with proliferative lesions compared with tumor-free breasts. Nipple fluid PSAs do not differ by tumor status. Analyses of NAF albumin-standardized CEAs and PSAs yield similar results. Nipple fluid CEA and PSA titers are correlated in the affected and unaffected breast of women with unilateral lesions. CONCLUSION: Nipple fluid CEAs are higher for breasts with untreated invasive cancers, but the test sensitivity is low. Nipple fluid PSA titers do not seem to be useful for breast cancer detection.


The digital mammogram has developed as the standard screening approach for breast cancer detection and further defects in human breast tissue problem. Early detection is an efficient manner to decrease mortality in worldwide. In the past decades, several researchers implemented many methods to consistently identify the breast cancer by mammogram images. Those methods were employed to produce systems to support radiologists and physicians attain more accurate diagnosis. Accurate segmentation and classification of various tumors in the mammography plays a complex role in the early diagnosis of breast cancer. This paper defines the research on Breast Cancer Detection (BCD) methods which includes two major steps such as segmentation and classification. This research presented the different types of BCD methods with their main contributions. Additionally, it assists the researchers in the area of breast cancer detection by providing the basic knowledge and common understanding of the newest BCD methods.


Detection of any abnormalities in the human is a big challenge faced by many of the field experts. One such challenge is to detect the Breast Cancer. The prime mottobehind in making this paper is to detect the breast cancer with the help of breast images in an advanced and appropriate way. In this study, an attempt is made in such a way by applying the combination of various existing technics in the extracted breast images for getting better result in detecting the Breast Cancer. Consequently,feature extracting images are appliedusing Light gradient boosting ensemble decision tree classifier for identifying benign and malign features of an image. As a result, the normal and abnormal breast cancer image is detected by combining above applications. Besides, classification accuracy and minimize classification time metrics are also achieved more appropriately than the existing detectingtechnics.


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