View clinical trials related to Breast Neoplasms.
Filter by:This is a multi-centre, prospective cohort study, aiming to evaluate a blood test in early detection of the four common cancers, based on the investigation of the circulating tumour DNA (ctDNA). Primary objective: To evaluate the performance characteristics of the blood ctDNA test in early detecting cancers. Secondary objectives: - To evaluate the performance characteristics of the test in determining the origin of tumour, as compared to the findings of the imaging diagnostic tests. - To determine the risk of cancers development in the high-risk population, as compared to that in the moderate-risk group.
This is a multicenter, open-label, single-arm, phase II clinical trial to evaluate the efficacy and safety of margetuximab in combination with tucatinib and capecitabine in patients with human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer.
This phase II trial tests whether [18F]FluorThanatrace by positron emission tomography (PET)/computed tomography (CT) can improve imaging techniques in patients with breast cancer undergoing a standard of care biopsy or surgery. [18F]FluorThanatrace is a new radioactive tracer, which is a type of imaging agent that is labeled with a radioactive tag and injected into the body to help with imaging scans. PET is an established imaging technique that utilizes small amounts of radioactivity attached to very minimal amounts of tracer, in the case of this research, [18F]FluorThanatrace. Because some cancers take up [18F]FluorThanatrace it can be seen with PET. CT utilizes x-rays that traverse body from the outside. CT images provide an exact outline of organs and potential inflammatory tissue where it occurs in patient's body. [18F]FluorThanatrace by PET/CT may help detect the activity of a certain enzyme in the body that may be related to cancer growth in patients with breast cancer.
This study explores the use of the Hugo platform to involve study participants in their healthcare and treatments. The Hugo platform may allow researchers to collect better and more accurate real-time health data, from other clinics/hospitals, pharmacies and other electronic devices. The purpose of this research is to see if the use of the Hugo platform is consistent, accurate, cost effective, and time efficient, as it collects and transmits important real-time health information from other clinics/hospitals, pharmacies, and other electronic devices.
Vasomotor symptoms (VMS) are a common consequence of systemic therapies for breast cancer. Breast cancer treatments can cause VMS in approximately 30% of postmenopausal women and 95% of premenopausal women with early stage breast cancer (EBC). There are many non-estrogen-based interventions available to manage VMS, including; lifestyle modifications, complementary and alternative medicine (CAM) therapies. However, a recent systematic review and meta-analysis of pharmacological and CAM interventions conducted by our team, found no single optimal treatment for VMS management in breast cancer patients. Given the complex patient, cancer and treatment variables influencing the experience of VMS, the numerous potentially effective VMS interventions available and the varying expectations for an effective intervention, the investigators believe Machine Learning (ML) is ideally suited to the analysis of this common and bothersome treatment related toxicity. The EPIC electronic medical record, and MyChart application has provided both clinicians and patients with increased tools for the documentation of health related outcomes. The investigators believe that the MyChart platform, and ML techniques can be utilized to collect, and analyze outcome data for breast cancer patients experiencing VMS.
The purpose of the study is to survey how many women have breast implants in the mammography screening population and the effect of implants on the number and type of examinations and on costs.
The objective of this study is to demonstrate the initial clinical feasibility of using Harmonic Motion Imaging (HMI) for Focused Ultrasound Surgery (FUS) guidance and monitoring in patients with benign and stage 1 non-metastatic breast cancers. The investigators hypothesize that changes in HMI parameters will inform progression of FUS ablation.
(Neo-)adjuvant chemotherapy for breast cancer has deleterious effects on muscle tissue resulting in reduced skeletal muscle mass, muscle function, and cardiorespiratory fitness. Various exercise regimens during cancer treatment have been shown to counteract some of these side effects. However, no study has compared the effect of high intensity training vs. low-to moderate intensity training on muscle tissue cellular outcomes and function in breast cancer patients during chemotherapy. The present study aims to compare the effects of high vs. low-to moderate intensity training on its ability to counteract deleterious effects of chemotherapy on skeletal muscle in women diagnosed with breast cancer. Eighty newly diagnosed women with breast cancer planned to start (neo-)adjuvant chemotherapy will be randomized to either a group performing a combination of strength and endurance training with high intensity or a group performing training with low to moderate intensity. Muscle biopsies from m. vastus lateralis for assessment of muscular cellular outcomes will be collected and muscle function and cardiorespiratory fitness will be measured before the first cycle of chemotherapy (or, when not possible, one week after) (T0), halfway through chemotherapy (T1), and after completion of chemotherapy (T2). It is estimated that approximately 50% will be willing to take muscle biopsies. The study will give important information about the effects of different training intensities for breast cancer patients during treatment and will contribute with knowledge about how to refine exercise programs that are effective and compatible with multidisciplinary management of breast cancer.
Eligible women will receive neoadjuvant single fraction radiotherapy followed by surgery performed after one year
This is a data-driven, retrospective, longitudinal, population- based, observational, multi-centered study using secondary data captured from congruent electronic health records (EHRs).