View clinical trials related to Mammography.
Filter by:Mammography is the most common method for breast imaging, and it provides information for model building and analysis. Radiomics applied to mammography has the potential to revolutionize clinical decision-making by providing valuable insights into risk assessment and disease detection. Despite this, the influence of imaging parameters and clinical and biological factors on radiological texture features remains poorly understood. There is a pressing need to overcome the obstacle of system-inherent effects on mammographic images to facilitate the translation of radiological texture features into routine clinical practice by enabling reliable and robust AI-based or AI-aided decision-making. Furthermore, understanding the relationship between imaging parameters, textural features, and clinical and biological information supports the clinical use of AI. The objective of this study is to evaluate AI methods for clinical practice and to study how it relates to clinical factors and biological features.
In this study, it is planned to determine the effect of virtual reality applied to women before mammography on pain, anxiety and satisfaction levels. For this purpose, individuals applying for breast cancer screening will first be randomly divided into experimental and control groups. Pain, anxiety and satisfaction level evaluation forms will be applied to the experimental group before the mammography procedure. A relaxing video will be watched with virtual reality glasses and the mammography will be performed. At the end of the mammography, the relevant forms will be applied to the individuals again. The control group will not be subjected to any additional application that will continue with the applied routine.
Brief Summary A task like breast cancer screening (mammography) can be described as a "hybrid search" task. In basic visual search tasks, observers search for a target among distractors that are not the target. In hybrid search, observers search for two or more target types. In mammography, observers are searching for masses, calcifications ("calcs"), and some other signs of cancer like architectural distortion. In this experiment, the investigators have created a simulated version of mammography where non-expert (non-radiologist) observers can look for simulated masses and calcs. There are two types of stimuli, a 2D version (like an x-ray) and a 3D version (like the output of Digital Breast Tomosynthesis - DBT). The question that is being asked is whether it is better to ask about masses and calcs separately (first one, then the other) or to just let observers look for both at the same time.
To evaluate the safety and efficacy of the proposed investigational device and assess its clinical utility in breast cancer screening and diagnosis to support continuing technology development of the investigational technology.
The LINDA thermal device consists of a thermal camera attachable to a cell phone and an application for connection with an artificial intelligence program based on a convolutional neural network for classification of thermographic breast images. The system is previously fed with thermographic images of the breast and their respective results/diagnostics. The images are processed in an automated way and return a percentage of chance of having a pathological pattern.
The purpose of this research study is to determine the potential benefits of adding information on patients' breast arterial calcification (BAC) results to the standard results letter women receive after mammography. In addition to looking for potential breast cancer, research shows that mammograms can also detect the presence of calcifications within the breast arteries. Those calcifications can be associated with coronary artery disease. Right now, women are not routinely told whether or not they have BAC; that is, it's not part of standard practice to communicate that information to patients. However, previous research has suggested that patients would like to be informed about their BAC status more often. In this study, the team has two goals. First, the team wants to measure the rates of BAC in a large, diverse group of 14,875 women. Because most of the past research on BAC has largely been focused on White mammography patients, the researchers feel it is important to see if the results are similar or different in a more racially and ethnically diverse sample. Second, the study team wants to understand the effects of giving women information on their BAC results as part of their standard post-mammography letter. Specifically, the study team wants to see how sharing that information might affect women's healthcare choices and lifestyle. The research will include 1,888 women in this second part of the study, which will be the first in the literature to explore women's reactions to BAC information. If research shows that women find the information useful, BAC information may be given to women regularly in the future.
The purpose of this study is to evaluate how well women may adopt a Contrast-enhanced Spectral Mammography (CESM) as their yearly breast screening test compared to the standard 2-D or 3-D mammogram.
The purpose of this investigation is to conduct a feasibility study to evaluate the potential for implementing the developed decision support tool with Latina, Black, and non-Latina White women. The investigators will collect feasibility data and assess the use of the decision support tool with end-users. The aim is to determine if women using the decision support tool make more informed choices measured by knowledge, attitudes, and intentions.
Every year millions of mammograms are performed worldwide, representing the primary examination for the early diagnosis of breast cancer. Despite continuous advances in medicine and technology, an aspect of mammography has not changed in over fifty years: the breast is still compressed on the detector because this allows to reduce the thickness of the breast thus improving the quality of the diagnostic image and reducing the dose of radiation necessary to obtain a clear image. Many women perceive as painful this compression, including women who have been treated for breast cancer. Pain can discourage asymptomatic women to present themselves periodically to screening mammography, while an increasing number of women in follow-up after conservative surgery have to withstand the pain caused by mammography. Some studies mention various factors that are responsible for pain when performing mammography: breast sensitivity, anxiety level, expected pain and staff attitude. Some studies have also identified breast density, breast volume and menstrual phase as other influencing factors, although not all studies support these hypothesis. The technical characteristics of the equipment can greatly affect annoyance, sense of oppression, pain. The technological proposals to reduce the discomfort of the patients concern various items: flexible compressors, self-compression devices under the supervision of the technician who performs the positioning and the minimum initial compression, environmental factors such as equipment noise reduction, chromatic, sound and sensory effects (eg: aromatic diffusers). The aim of our study is to evaluate the effectiveness of the self-compression compared to the standard one, in reducing annoyance, a sense of oppression and pain, and to evaluate the difference of the average glandular dose given to the woman for each projection. Self-compression may help reaching better compression tolerating the discomfort and pain induced thus allowing to achieve a lower thickness, a lower glandular dose and a better image.
Women who attend for their screening mammogram will be recalled if an abnormality is detected on the screening mammogram. Calcifications account for 20% of the women recalled to second stage screening. Currently there is no effective imaging tool to determine if the calcifications are cancer or not. Therefore, 90% of women will be subjected to a biopsy. 25-30% of the biopsies will show cancer. Contrast enhanced spectral mammography (CESM) is where contrast is given and then a mammogram performed. The theory is that high risk DCIS and invasive cancers have an increased blood supply and will therefore enhance more than benign lesions within the breast. If CESM can identify calcifications that are cancerous then we maybe able to reduce the number of women who have benign biopsies. This is patient focused as women would not require a biopsy and be able to be reassured at the same visit. This is also a cost-saving for the Trust by reducing unnecessary biopsies. This also supports the findings of the Marmot review by aiming to reduce harm by over-diagnosis.