Predicting the benefit of screening for disease

1981 ◽  
Vol 18 (02) ◽  
pp. 348-360 ◽  
Author(s):  
Neil Dubin
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Empirical Data ◽  
Screening Program ◽  
Breast Cancer Detection ◽  
Two Stage ◽  
Distributed Diagnosis ◽  
Disease States ◽  
Stage Disease ◽  
Using Data

To evaluate the benefits and risks associated with screening for disease, a model is developed to characterize the changes in incidence and survival distributions effected by a screening program. Screening is presumed to increase survival by resulting in diagnosis of disease at earlier stages. All disease states in the model are observable, thus facilitating application to empirical data. An example of such an application using data from a breast cancer detection project is given for the case of one screening for two-stage disease having Weibull-distributed diagnosis times.

Predicting the benefit of screening for disease

1981 ◽  
Vol 18 (2) ◽  
pp. 348-360 ◽  
Author(s):  
Neil Dubin
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Empirical Data ◽  
Screening Program ◽  
Breast Cancer Detection ◽  
Two Stage ◽  
Distributed Diagnosis ◽  
Disease States ◽  
Stage Disease ◽  
Using Data

To evaluate the benefits and risks associated with screening for disease, a model is developed to characterize the changes in incidence and survival distributions effected by a screening program. Screening is presumed to increase survival by resulting in diagnosis of disease at earlier stages. All disease states in the model are observable, thus facilitating application to empirical data. An example of such an application using data from a breast cancer detection project is given for the case of one screening for two-stage disease having Weibull-distributed diagnosis times.

Mass Screening for Early Breast Cancer Detection

1978 ◽  
Vol 64 (5) ◽  
pp. 479-485 ◽  
Author(s):  
Mario Cappellini ◽  
Stefano Ciatto ◽  
Giancarlo Maltoni
Keyword(s):  
Breast Cancer ◽  
Early Breast Cancer ◽  
Mass Screening ◽  
Cancer Detection ◽  
Screening Program ◽  
False Negative ◽  
Breast Cancer Detection ◽  
Actuarial Survival ◽  
Female Population ◽  
Reported Data

In 1969 the Center for Social Diseases of Florence started a screening program for early breast cancer detection. The female population over 40 years of age of a group of outlying towns of the District was invited. From January 1969 till March 1977, 21,725 women have been examined in the program. Mammography was the diagnostic procedure of choice, followed by physical examination if necessary. Negative cases were controlled with biennial mammography. This paper summarizes and evaluates the results of this screening program. At first mammography, 67 cancers were detected, 37 % of which were clinically unapparent, 62.3 % staged T1A, and 52 % N—. The average stage at diagnosis is certainly better than the average stage of cancers diagnosed in unscreened women, thus a better prognosis is expected. Actuarial survival rate of detected cancers was 94 ± 3.7 % at 5 years. False negative and false positive cases are reported. The possibility of hazards in the use of repeated mammography in mass screening is discussed. According to reported data the value of this screening program in terms of secondary prevention (early diagnosis) is confirmed.

scholarly journals Enhancing breast cancer detection using data mining classification techniques

Pressacademia ◽  
2017 ◽  
Vol 5 (1) ◽  
pp. 310-316 ◽  
Author(s):  
Florije Ismaili ◽  
Luzana Shabani ◽  
Bujar Raufi ◽  
Jaumin Ajdari ◽  
Xhemal Zenuni
Keyword(s):  
Breast Cancer ◽  
Data Mining ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Classification Techniques ◽  
Using Data

scholarly journals ROLE OF MODERN IMAGING TECHNIQUES IN ADDITIONAL VIZUALISATION OF BREAST CANCER: LITERATURE REVIEW

2021 ◽  
Vol 20 (4) ◽  
pp. 99-107
Author(s):  
A. S. Ainakulova ◽  
D. R. Kaidarova ◽  
Zh. Zh. Zholdybai ◽  
N. I. Inozemtceva ◽  
M. O. Gabdullina ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Cancer Detection ◽  
Breast Imaging ◽  
Screening Program ◽  
Early Stage ◽  
Imaging Techniques ◽  
Breast Cancer Detection ◽  
Cancer Screening Program

Background. Breast cancer is the most common cancer in women worldwide. Despite advances in treatment of breast cancer, early-stage breast cancer detection is limited by screening mammography and often requires additional breast imaging.The purpose of the study was to analyze available data on modern imaging techniques of additional breast visualization used for improving breast cancer screening.Material and methods. The review includes data from randomized controlled trials and meta-analyzes on the effectiveness of breast imaging techniques for early-stage breast cancer detection. The search was carried out in pubmed, Web of science, scopus and cochrane library databases. Out of 100 publications published over the past 7 years, 51 were included in the presented review.Results. Breast cancer screening using various imaging techniques has been carried out in the world for more than 30 years, and over the past 10 years significant progress has been made in improving X-ray, ultrasound and magnetic resonance technologies in the early breast cancer detection. At present, healthcare organizers are faced with the question of choosing a vector for improving the breast cancer screening program by introducing digital tomosynthesis, contrast spectral mammography, or accelerated mri. According to the current results of the analysis of literature data, contrast spectral mammography and accelerated mri have the highest sensitivity, but studies of sensitivity, specificity, positive and negative predictive values (ppv, npv) are ongoing.Conclusion. The data presented in the review confirm the necessity for finding the vector for improving the breast cancer screening program using multicenter prospective trials.

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