View clinical trials related to Breast Cancer.
Filter by:Investigators central hypothesis is that it is possible to create libraries of "consistent" Knowledge-Based plan-models derived from large Institutional experiences. These libraries can be used to guide automated RT planning and serve as tools to assist centers for plan quality assurance (QA) and plan prediction. Quantifying Inter-institute variability of RT planning and building libraries of interchangeable and validated multi-Institutional KB plan prediction models is expected to impact on the quality of planning at the national level. The project has the potential of facilitating the introduction of AI approaches in plan optimization, thus reducing intra and inter-Institute planning variability. Improving plan quality is expected to translate into better outcome after RT in terms of local control and, even more, of side effects and Quality of life. Positive impact is also expected in patient selection for advanced techniques, in plan audit and plan optimization in clinical trials, in technology comparison and cost-benefit analyses as well as in the RT educational field.
Development of tools to predict patients chemo-sensitivity and identification of corresponding biomarkers is an urgent challenge for BC patients lacking targeted therapies, such as TNBC, or for patients experiencing relapse after adjuvant chemotherapy or targeted therapies. The refinement of 3D-cultivation techniques, experienced in the last decade, has allowed cultivation of patients-derived cancer cells in organotypic structures, named patient-derived organoids (PDO), which preserve histologic, genomic and transcriptomic features of primary tumors. PDO allow propagation, pharmacological treatment and genetic manipulation of patients-derived cancer cells in a close to physiology setting, thus representing a promising tool in the development of personalized therapies
The purpose of this study is to evaluate the effectiveness of Hemay022 combined with AI (exemestane or letrozole) in the treatment of ER+/HER2+ advanced breast cancer patients based on the progression-free survival (PFS) assessed by the independent review committee (IRC). The second purpose of this study is to evaluate the pharmacokinetics and efficacy of Hemay022 in combination with AI, and the safety of Hemay022 in combination with AI. The trial plans to recruit 339 subjects, who will be randomly divided into two cohorts (the experimental group is hemay022 combined with AI, and the control group is lapatinib combined with capecitabine). During the treatment period, imaging examinations and anti-tumor efficacy evaluations will be performed regularly until the subject develop disease progression or starts receiving other treatments or dies or refuses to come to the hospital for follow-up or the trial is terminated, etc.
To determine the accuracy of AMH postchemotherapy in predicting permanent menopause after chemotherapy in breast cancer patients who did not use OFS before menopause
The goal of this clinical trial is to compare the effects of neoadjuvant radiotherapy and adjuvant radiotherapy in patients with breast cancer. The main questions it aims to answer are: - The clinical effect of neoadjuvant radiotherapy for breast cancer was determined according to the postoperative specimens. - Evaluate the acute and late toxicity of preoperative radiotherapy Participants will be randomly divided into two groups: the neoadjuvant radiotherapy group and the adjuvant radiotherapy group.
The study's objective is to compare the diagnostic accuracy of the contrast-enhanced mammography (CEM) , considering as reference the classification obtained with Vacuum Assisted Breast Biopsy (VABB).
This is a non-interventional observational study conducted in Germany to evaluate the real-world effectiveness, tolerability, safety, and quality of life in patients with locally advanced/metastatic HR+/HER2- breast cancer treated with one of the following 1st line treatments: Ribociclib + AI/FUL, or endocrine monotherapy, or chemotherapy
The investigator's developed a digital LDT to predict invasive breast cancer (IBC) recurrence within 6 years by combining histologic features extracted from an H&E image of the patients IBC with clinical data including the patients age, tumor size, stage and number of positive lymph nodes. The development of an artificial-intelligent (AI)-grade provides not only an objective, quantitative advancement of classical breast cancer grading but also improves upon the accuracy and utility of clinical risk. The investigator's sought to understand how such a PreciseDx Breast would be used in clinical practice post-surgical resection for women with early-stage IBC.
Breast cancer stands as the foremost cause of cancer-related deaths among women worldwide, with the highest incidence of any cancer type. The choice of therapeutic interventions hinges upon factors like cancer stage, cell subtype, and tumor size. Consequently, individuals with more aggressive tumors, such as HER+2 and Triple Negative, or larger tumors often undergo neoadjuvant chemotherapy before breast surgery. However, these anticancer treatments come with side effects like cancer-related fatigue, reduced functional capacity, and changes in body composition, notably skeletal muscle atrophy. Skeletal muscle loss correlates with heightened mortality rates, cardiotoxicity, and diminished quality of life, underscoring the need for early therapeutic interventions. One such promising strategy is prehabilitation, which involves resistance-exercise training aimed at bolstering skeletal muscle mass from the outset of the disease, even preceding breast surgery. Resistance-exercise training has shown favorable effects on women undergoing adjuvant therapy or survivors of breast cancer, however, its molecular and clinical effects in women with breast cancer undergoing neoadjuvant therapy are unknown.
The scientific goals of the project are: 1. The primary scientific objective of the study is to determine the effectiveness of an eHealth self-management support program for persistent pain after breast cancer treatment compared to: - usual care (i.e. superiority of the eHealth self-management support program) and - a comprehensive pain rehabilitation program delivered face-to-face in a physical therapy setting (i.e. non-inferiority of the eHealth self-management support program) on pain-related disability (measured with the Pain Disability Index). 2. The secondary scientific objectives of this study entails to examine if the eHealth self-management support program has a relative benefit for other biopsychosocial factors, including: - Other dimensions of pain - Health-related quality of life - Physical functioning, including physical activity levels - Psychosocial functioning, including self-efficacy, stress, anxiety, depression, coping style (key secondary outcome) and fear of cancer recurrence - Participation in society, including return to work - Healthcare-related costs for the patient and society 3. The tertiary scientific objectives of this study are - to identify moderators of treatment effect, including behavioural determinants (e.g. self-efficacy, motivation, coping style), in order to identify breast cancer survivors who would benefit the most of the eHealth self-management support program and to allow more stratified and efficient pain management care and more targeted allocation of budgets. - To examine the implementation process, mechanisms of impact and contextual factors.