Mammography screening is provided free of charge for the recommended target population in Brazil but participation rates have remained low, and breast cancer mortality has continued to increase. Thus, it is important to identify factors that are associated with poor participation in mammography screening so that service providers can target health promotion messages and screening programs more effectively. To evaluate the predictive validity of the Revised Champion's Health Belief Model scale (RCHBMS) for identifying women at high risk of not adhering to national guidelines for mammography screening in Brazil. We used a longitudinal survey design with a 1-year follow-up data from 194 women living in northeastern Brazil, in the city of Fortaleza, Ceará, participants completed the RCHBMS at baseline, and mammography uptake was measured 1 year later. Hierarchical logistic regression was used to determine the predictive validity of the RCHBMS for identifying women who had not adhered to recommendations for mammography screening, after accounting for the women's sociodemographic and clinical characteristics. The sensitivity and specificity of various cut-off points were calculated to determine the optimal cut-off point for identifying women at high risk of not adhering to mammography screening guidelines. Two subscales of the RCHBMS uniquely predicted nonadherence: susceptibility and barriers, along with race and family history of cancer. The total scale score (with barriers reverse coded) was also highly predictive. For our sample, using only the RCHBMS with a cutoff of ≤ 3.67 (out of a total possible range of 1-5) yielded a high sensitivity and specificity for predicting nonadherence. Study findings support the validity and clinical utility of the RCHBM for identifying women at risk of not adhering to national guidelines for mammography screening in Brazil.
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http://dx.doi.org/10.1177/2377960820940551 | DOI Listing |
Pol J Radiol
December 2024
Nuclear Fuel Research School, Nuclear Science and Technology Research Institute, Tehran, Iran.
Purpose: This study explored the use of computer-aided diagnosis (CAD) systems to enhance mammography image quality and identify potentially suspicious areas, because mammography is the primary method for breast cancer screening. The primary aim was to find the best combination of preprocessing algorithms to enable more precise classification and interpretation of mammography images because the selected preprocessing algorithms significantly impact the effectiveness of later classification and segmentation processes.
Material And Methods: The study utilised the mini-MIAS database of mammography images and examined the impact of applying various preprocessing method combinations to differentiate between malignant and benign breast lesions.
Radiol Case Rep
March 2025
Department of Radiology, Sanford USD Medical Center, Sioux Falls, SD, USA.
Osteosarcoma of primary breast origin is a rare form of malignancy. Imaging findings are nonspecific and often overlap with other differential considerations reinforcing the importance of radiologic-pathologic correlation for an accurate diagnosis. This case report details the clinical presentation, imaging findings, histopathological features, and therapeutic approach that transpired to diagnose and treat this rare malignancy.
View Article and Find Full Text PDFRadiologie (Heidelb)
January 2025
Universitätsklinikum Erlangen, Frauenklinik, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsstraße 21-23, 91054, Erlangen, Deutschland.
Background: The concept of personalized medicine is becoming increasingly important. The possibilities of diagnostics include not only genetic and molecular tumor profiles, but also the use of precise and individual imaging techniques.
Objectives: The development and implementation of suitable diagnostic procedures with high sensitivity and specificity, which are at the same time tailored to the individual risk factors and biological characteristics of the patient, remain a challenge.
Phys Med
January 2025
National Co-ordinating Centre for the Physics of Mammography (NCCPM), Medical Physics Department, Royal Surrey NHS Foundation Trust, Guildford GU2 7XX UK.
Background: The American Association of Physicists in Medicine (AAPM) Task group 282 (TG282) in collaboration with the European Federation for Organisations of Medical Physics (EFOMP) have developed a novel breast dosimetry model intended as a single international standard.
Purpose: To explore the impact of TG282 dosimetry on estimates of average Mean Glandular Dose (MGD) in the United Kingdom (UK) National Health Service (NHS) Breast Screening Programmes (BSP).
Methods: MGDs were estimated, using the TG282 dosimetry model, for the most recent UK NHSBSP dose survey.
Breast Cancer Res Treat
January 2025
Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamichou, Kita-Ku, Niigata, Japan.
Purpose: Identification of the molecular subtypes in breast cancer allows to optimize treatment strategies, but usually requires invasive needle biopsy. Recently, non-invasive imaging has emerged as promising means to classify them. Magnetic resonance imaging is often used for this purpose because it is three-dimensional and highly informative.
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