View clinical trials related to Breast Neoplasms.
Filter by:This phase II trial tests how well accelerated partial breast irradiation (APBI) delivered once per day works in ensuring an acceptable breast appearance in patients with low risk, hormone responsive breast cancer. APBI uses precise radiation beams to kill cancerous cells in a smaller area of the breast (partial breast) instead of the whole breast or chest area as in standard therapy. Additionally, APBI is given in a shorter course of treatment than whole breast radiation therapy, over fewer days instead of several weeks, with a lower total dose of radiation. APBI is currently given every other business day for a total of 5 treatments with excellent results; however, a shorter treatment duration could have similar or even better results. Undergoing APBI every day on consecutive business days for 5 treatments may result in an improved breast appearance for patients with low risk hormone responsive breast cancer.
The adjuvant radiotherapy (RT) of the early-stage breast cancer patients as local treatment aims to eliminate the potential microscopic residual disease in the surgery bed or satellites in its neighborhood. Nowadays accelerated partial breast irradiation (APBI) is recommended for highly selected patients. This prospective randomized study compares the targeted external beam APBI with commonly used accelerated whole-breast irradiation (WBI) in terms of feasibility, safety, tolerance, and cosmetic effects. It is designed as non-inferiority trial and its aim is to increase the level of evidence for establishment of external beam APBI in indicated patients into daily clinical practice.
The goal of this prospective, historically-controlled, quality improvement project is to determine whether and to what extent an electronic health record (EHR)-based nudge affects rates of sentinel lymph node biopsy (SLNB) in older women with ER+, early-stage, clinically node negative breast cancer.
This purpose of this study is to examine skin reactions (called radiation dermatitis) that occur during pencil beam scanning (PBS) proton therapy. The researchers will test a unique technique called "Spot Delete" to see if it can reduce skin reactions for breast patients treated with PBS. They will also use a special computer model to study how the energy of the proton beam (linear energy transfer) is related to these skin reactions. The study involves creating a treatment plan based on a CT scan, which helps guide the proton beam in the body. The clinical team uses this CT scan to find the best placement for the protons. The "Spot Delete" method prevents protons from stopping in the skin, which is thought to cause skin redness.
In the present study, the investigators aim to investigate feasibility of utilizing noninvasive neuromodulation, specifically taVNS, as a nonpharmacologic approach to address insomnia in patients with stage I-IV breast cancer.
The aim of the study was to examine the effect of counselling and follow-up after education on the risks and prevention methods of breast cancer on early diagnosis behaviours and healthy lifestyle behaviours. The population of the study will consist of female administrative staff working at Mersin University. The sample of the study will consist of 160 people. A total of 160 personnel determined by randomisation will be divided into group A (study) and group B (control) formed by the independent researcher in the computer environment. All participants will be given a one-hour training on breast cancer and will be practised with a model as well as a presentation. Group A will be counselled for 6 months after the training and a reminder message will be sent via SMS on Monday every week as "Check your modifiable risk factors for breast cancer" and their feedback will be received. In group B, no additional application will be made except for the training. The data of the study will be collected before and 6 months after the training by using the Descriptive Characteristics Form, Breast Cancer Early Diagnosis Behaviours Form, Counselling Form and Healthy Lifestyle Behaviours Scale II. The data obtained from the study will be analysed in a computer environment. Number, percentage, mean and standard deviation will be used as descriptive statistics in the evaluation of the data.
The purpose of this real-world study is to understand the use of palbociclib as first treatment for Hormone receptor positive (HR+) and Human epidermal growth factor receptor 2 negative (HER2-) metastatic breast cancer in Canada (PALCAN). The real-world study is not a research study. It involves real patients who receive medicines prescribed by their doctors in the real world. Metastatic breast cancer is the type which has spread from breast to other organs. HR positive stands for Hormone-receptor cells that have a protein on their surface that binds to one of 2 types of hormones. They are estrogen or progesterone. Both these hormones help cancer cells grow. HER2 negative describes cells that have a small amount or none of a protein called HER2 on their surface. In normal cells, HER2 helps control cell growth. Cancer cells that are HER2 negative may grow more slowly and are less likely to come back or spread to other parts of the body. This study will mainly measure: - duration of treatment (from start of treatment till end of treatment) among a group of patients taking palbociclib (Ibrance) in combination with hormone therapy as first line treatment for HR+ HER2- metastatic breast cancer.
In this research study, investigators are testing if a dose-increasing strategy for abemaciclib will have less side effects and be better tolerated than the standard dosage of abemaciclib for participants with early-stage high-risk hormone receptor positive breast cancer. The names of the study drugs involved in this study are: - Abemaciclib (CDK4 and CDK6 inhibitor) - Tamoxifen (Selective estrogen receptor modulator) - Anastrozole/Letrozole (Non-steroidal aromatase inhibitors) - Exemestane (steroidal aromatase inhibitor) - LHRH (Gonadotropin-releasing hormone agonist, or Luteinizing hormone-releasing hormone agonist)
Breast cancer is a malignant tumor with the highest morbidity and mortality among women worldwide. Accurate staging of axillary lymph nodes is critical for metastatic assessment and decisions regarding treatment modalities in breast cancer patient. Among patients who underwent sentinel lymph node biopsy, about 70 % of the patients had negative pathological results and in other words, these 70 % of the patients received unnecessary surgery. At present, imaging and pathological diagnosis is the main measure of lymph node metastasis in breast cancer. However, limitations remained. Artificial intelligence, including deep learning and machine learning algorithms, has emerged as a possible technique, which can make a more accuracy prediction through machine-based collection, learning and processing of previous information, especially in radiology and pathology-based diagnosis. With the intensification of the concept of precision medicine and the development of non-invasive technology, the investigators intend to use the artificial intelligence technology to develop a serum and tissue-based predictive model for sentinel lymph node metastasis diagnosis combined with imaging and pathological information, providing specific, efficient and non-invasive biological indicators for the monitoring and early intervention of lymph node metastasis in patient with breast cancer. Therefore, the investigators retrospectively include serum samples from early breast cancer patients undergoing sentinel lymph node biopsy, including a discovery cohort and a modeling cohort. Metabolites were detected and screened in the discovery cohort and then as the target metabolites for targeted detection in the modeling cohort. Combined with preoperative imaging and pathological information, a prediction model of breast cancer sentinel lymph node metastasis based on serum metabolites would be established. Subsequently, multi-center breast cancer patients will prospectively be included to verify the accuracy and stability of the model.
Evaluate the efficacy and safety of Disitamb Vedotin combined with pyrotinib in HER2 positive early breast cancer