View clinical trials related to Breast Neoplasms.
Filter by:The purpose of this study is to evaluate the efficacy and safety of camrelizumab in combination with apatinib and chemotherapy as neoadjuvant therapy in participants with triple negative breast cancer (TNBC).
The purpose of this study is to assess the safety and tolerability and preliminary antitumor activity of SKB264 with/without KL-A167 in patients with unresectable locally advanced, recurrent or metastatic TNBC and HR+/HER2- BC .The study is divided into three parts.Part 1（TNBC）: exploratory phase of the efficacy and safety of the combination treatment. Part 2（TNBC）: The subjects will be randomized to treatment group for SKB264 + KL-A167 or SKB264 . Part 3（HR+/HER2- BC）: The subjects will be randomized to treatment group for SKB264 + KL-A167 or SKB264 .
The goal of this project is to adapt the super-resolution ultrasound imaging technology motion-model Ultrasound Localization Microscopy (mULM) to clinical application. In this exploratory patient study a scan protocol will be established to subsequently investigate whether mULM allows the assessment of the tumor response to neoadjuvant chemotherapy in participants with a primary breast cancer diagnosis as well as for the differentiation of benign and malignant breast tumors in participants with lesions of unknown dignity.
In this study the characteristics and alterations of the gut microbiome during neoadjuvant therapy for HER2-positive breast cancer patients are studied, as well as the relation between the gut microbiome and probability of pCR.
This study will investigate the benefits of distinct brain health trainings in breast cancer survivors (age 30-80) with cognitive concerns post-chemotherapy. This study can be completed from the comfort of participant's own home.
The present study aims to optimize psychological treatment for pain after breast cancer by identifying active treatment components. Specifically, a factorial design will be used to evaluate the efficacy and change processes of three psychological treatment components, which have been shown to be efficacious in the treatment of pain after breast cancer.
This multi-center study intends to evaluate the value of the detection and differential diagnosis of breast mass using deep learning AI-based real-time ultrasound examination.
Breast cancer is a major cause of survival for women worldwide. Neoadjuvant therapy as an important treatment for locally advanced breast cancer has had many positive effects for breast cancer patients. As drug therapy for breast cancer continues to evolve, the percentage of pathologic complete responses continues to increase. However, at present, pCR can only be judged by pathological testing of surgically resected specimens, and the question of whether pCR can be accurately judged preoperatively has become an urgent issue.Therefore, this project plans to establish and validate a model for determining pCR after NAT in breast cancer based on clinical information, imaging and pathological information of breast cancer patients in multiple centers using artificial intelligence technology in accordance with international guidelines and domestic expert consensus on breast cancer NAT, in order to solve the problem of surgical decision making for patients after NAT, by combining experts from breast medicine, surgery, pathology and imaging departments in several tertiary care hospitals across China. The model will be validated to solve the problem of surgical decision making for post-NAT patients.
I this qualitative study, Investigators will conduct semi-structured interviews with clinicians that are involved in the care of patients with breast cancer to evaluate the acceptability, appropriateness, and feasibility/usability of a metastatic breast cancer-specific prognostic tool. These interviews will be conducted by the UNC CHAI Core and will continue until thematic saturation (estimated 10 participants). The investigators will code the qualitative data using emerging themes, guided by a well-established implementation science theory, the Consolidated Framework for Implementation Research (CFIR). The information gained from these studies will inform an implementation approach to increase the usability and acceptability of a novel prognostic tool to assist oncologists in the prognosis of patients with metastatic breast cancer.
This study is a multicenter, randomized, phase 3 clinical trial in patients with breast cancer, randomizing radiotherapy group (postmastectomy radiation therapy (PMRT)/whole breast irradiation plus regional radiotherapy (WBI+regional RT) versus and no PMRT/WBI alone group. This is a non-inferiority study aiming that there is no significant difference in the 7-year disease-free survival rate between the two groups.