Breast Cancer Clinical Trials
A listing of Breast Cancer medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 2,282 clinical trials
DAANCE FOR CHEMOTHERAPY-INDUCED NEUROPATHY
Up to 80% of breast cancer survivors experience chemotherapy-induced neuropathy that impairs quality of life and increases fall risk long into survivorship, yet treatment options for neuropathy remain limited. The successful treatment will target neurophysiologic mechanisms for restoring function while addressing patient-reported symptoms and participation in treatment. Toward this end, …
The Association Between Age-related Peripheral Blood Components and Treatment Efficacy in Breast Cancer
This study is a single-center, prospective/retrospective, observational clinical research designed to compare the differences in peripheral blood components between young and elderly HR+HER2- breast cancer patients, and to identify peripheral blood components that may affect the prognosis of young HR+HER2- breast cancer patients. The study population consists of early-stage HR+HER2- …
REDucing Hot FLASHes in Women Using Endocrine Therapy.
The goal of this randomized intrapatient cross-over study is to assess the efficacy of oxybutynin versus venlafaxine in reducing hot flashes in women using endocrine therapy after breast cancer. The objectives it aims to answer are: To assess the efficacy of oxybutynin versus venlafaxine in reducing hot flashes in women …
Application of Patient Blood Management in the Oncology Patient Affected by Breast Cancer
Evaluation of the percentage of transfusions in patients with breast cancer undergoing surgery after preventive treatment with haematinics.
Timing of Specific Exercise Therapy After Breast Cancer Surgery: Early Versus Delayed Initiation
This single-center, parallel-group randomized controlled trial (RCT) will compare two timings for initiating specific exercise therapy after breast cancer surgery. The study tests whether early initiation (within the first postoperative week) versus delayed initiation (at 3 weeks postoperative) results in superior upper limb function at 6 months as measured by …
WashU DIEP Flap Video and Patient Understanding Improvement
Patients will complete a survey before and after watching the WashU DIEP Flap Video at their pre-operative standard of care visit, and a third survey at their post-operative standard of care visit. These surveys will use questions from SILS, APAIS, PEMAT, and AIM/IAM to assess the patient's health literacy, demographics …
Single-fraction APBI for Early-stage Breast Cancer With Favorable Histological Subtypes (Breast-1F)
This is a prospective, randomized, monocentric, non-inferiority interventional clinical study comparing an Accelerated Partial Breast Irradiation (APBI) for the surgical bed of early-stage breast cancer patients with favorable histological subtypes, using stereotactic radiotherapy in a single dose of 15.5 Gy with Simultaneous Integrated Boost (SIB) to 21 Gy (study treatment, …
EMERALD: Endocrine Therapy oMission With Radiation in ER+ Breast Cancer: Assessing Quality of Life and Disease Control: a Prospective Phase II Trial
This clinical research study is to learn about the effects of giving radiotherapy alone after lumpectomy to patients who have early-stage, low-risk breast cancers and who are 60 years of age or older.
Patient Derived Organoid-guided Personalized Treatment Versus Treatment of Physician's Choice in Breast Cancer
This multicenter, open-label, randomized phase III trial is designed to study the efficacy and safety of organoid-guided personalized treatment （OGPT）versus treatment of physician's choice (TPC) in previously treated refractory breast cancer.
AI Model for Classifying Breast Cancer From Histopathology Images
Breast cancer, a prevalent and potentially fatal disease, underscores the need for early and accurate detection to improve patient outcomes. Traditional histopathological examination, the current gold standard for diagnosis, faces limitations like subjectivity and low efficiency. In response, this research seeks to revolutionize breast cancer diagnostics by using deep learning …
