View clinical trials related to Breast Neoplasms.
Filter by:Breast cancer (BC) is the most common cancer among women in worldwide and the second leading cause of cancer-related death. As the corner stone of BC screening, mammography is recognized as one of useful imaging modalities to reduce BC mortality, by virtue of early detection of BC. However, mammography interpretation is inherently subjective assessment, and prone to overdiagnosis. In recent years, artificial intelligence (AI)-Computer Aided Diagnosis (CAD) systems, characterized by embedded deep-learning algorithms, have entered into the field of BC screening as an aid for radiologist, with purpose to optimize conventional CAD system with weakness of hand-crafted features extraction. For now, stand-alone performance of novel AI-CAD tools have demonstrated promising accuracy and efficiency in BC diagnosis, largely attributed to utilization of convolution neural network(CNNs), and some of them have already achieved radiologist-like level. On the other hand, radiologists' performance on BC screening has shown to be enhanced, by leveraging AI-CAD system as decision support tool. As increasing implementation of commercial AI-CAD system, robust evaluation of its usefulness and cost-effectiveness in clinical circumstances should be undertaken in scenarios mimicking real life before broad adoption, like other emerging and promising technologies. This requires to validate AI-CAD systems in BC screening on multiple, diverse and representative datasets and also to estimate the interface between reader and system. This proposed study seeks to investigate the breast cancer diagnostic performance of AI-CAD system used for reading mammograms. In this work, we will employ a commercially available AI-CAD tool based on deep-learning algorithms (IBM Watson Imaging AI Solution) to identify and characterize the suspicious breast lesions on mammograms. The potential cancer lesions can be labeled and their mammographic features and malignancy probability will be automatically reported. After AI post-processing, we shall further carry out statistical analysis to determine the accuracy of AI-CAD system for BC risk prediction.
This is an open-label, single arm, multi-stage, phase II trial of Trifluridine/tipiracil as a palliative treatment for patients with metastatic triple negative breast cancer who have failed both a taxane and anthracycline or have contraindications to these agents.
The purpose of this research study is to find the lowest dose of the cancer drug parsaclisib that has an effect on the type of breast cancer a participant has. Researchers are looking at how Parsaclisib affects the immune system. They want to learn whether and how it helps the immune system to find cancer cells to fight them. Parsaclisib is an oral drug that limits the effects of a protein called phosphatidylinositol 3-kinase δ (PI3K). By limiting P13K, parsaclisib can block certain cells that prevent the immune cells from working. As a result, it may help the body's immune system to fight tumors. Parsaclisib is being studied in several clinical trials to treat different types of cancers. Parsaclisib has not yet been approved by FDA for the treatment of cancer. Studies have shown that a good way to find out how cancer acts when exposed to anti-cancer drugs is through a pre-operative window study. In this type of study, tissue and blood are collected before treatment. Then subjects receive a study drug for a few weeks before surgery. Blood is drawn during the course of treatment, and leftover tissue is collected during surgery. Comparing the tissue and blood before and after treatment shows the effects the study drug may have had on the tumor. Research shows that cancers differ when you look at the DNA and RNA (genetic codes) that are inside a cancer cell. DNA and RNA carry genetic information that can determine traits in humans (such as eye color, height, reaction to treatment, etc.), as well as the traits of cancer cells. Depending on the genetic profile (particularly DNA and RNA) of the cancer, it may respond differently to parsaclisib. In this study, the investigators will look at the genetic profile of a participant's tumor by studying tissue and blood samples collected before and after receiving treatment.
In 2017, it is estimated that 318,590 Americans, men and women, will be diagnosed with breast cancer (American Cancer Society, 13). It was predicted in the 1970s that 1 in 11 Americans would be diagnosed with breast cancer, currently, it is 1 in 8 people. A person is twice as likely to be diagnosed with breast cancer if they have one first-degree female with a diagnosis, 3-4 times if there is more than one first-degree female relative with a diagnosis. Reasons for this increase in breast cancer diagnoses are that people are living longer, changes in reproductive patterns, increases or decreases in menopausal hormone use, increased numbers of detection through screening including genetic testing, and the rising prevalence of obesity (American Cancer Society). The purpose of this study is to better understand how a diagnosis of breast cancer supports change in diet and their food story. Qualitative methodology and specifically the long interview is the method the team will use to gain insight into adult patients' perceptions of their food story.
The purpose of this study is to test the efficacy, safety and tolerability of a combination of immunotherapy and anticancer drugs presurgery in patients with hormone-receptor positive breast cancer.
To evaluate the efficacy and safety of P nab-paclitaxel combined with carboplatin versus paclitaxel combined with carboplatin followed by epirubicin and cyclophosphamide in the neoadjuvant treatment of triple negative breast cancer.
Background: People with cancer, and especially older people, have a weakened immune system (the defense system of the body). This is often caused by the treatments for cancer. Older cancer survivors are therefore more prone to getting infections, some of which are preventable through vaccines. But because their immune systems are weakened, their response to vaccines is poor. Researchers want to see if a new drug, NT-I7, can help. Objective: To see if NT-I7 can boost the immune system. Eligibility: Adults 60 and older who have recently finished chemotherapy for breast, colorectal, or bladder cancer. Design: Participants will be screened with a physical exam, medical history, and blood and urine samples. Their heart s electrical activity will be checked. They will have an ultrasound of their spleen. They may give a tissue sample from a previous biopsy. Participants in phase 1a of the study will get 1 dose of NT-I7. It will be given by injection with a needle into the muscle of the upper arm, thigh, or buttocks. Participants in phase 1b will get 5 vaccines over a few months. They may get an optional booster and/or 6th vaccine. They will also get NT-I7. Participants will repeat the screening tests during the study. They may get a peripheral intravenous catheter in a vein in their hand or arm for blood draws. Participants may have apheresis. For this, blood is taken from an arm vein. The white blood cells are separated from the blood. The rest of the blood, minus the white blood cells, is returned into a vein in the other arm. A catheter may be used. Participants will have follow-up visits for 1 year.
This study is designed to assess the safety and clinical activity of tamoxifen and the COX inhibitor, aspirin, given in combination with standard AC-T chemotherapy (doxorubicin, cyclophosphamide, and paclitaxel) for the treatment of high-risk estrogen receptor (ER)+, human epidermal growth factor receptor 2 (HER2)- breast cancer. If successful, the study could improve long-term outcomes for a subpopulation of women with aggressive stage I-III ER+/HER2- breast cancer.
This feasibility study will assess if tracking objective and subjective facial skin changes over time is acceptable to pre and perimenopausal women undergoing chemotherapy and/or endocrine therapy for breast cancer. There is no intervention arm and no control group. Skin health will be assessed through the instruments described below, and subjective data will be collected with self-administered questionnaires.
Evaluation of advanced MRI acquisition techniques (perfusion and diffusion) to detect breast cancer. Two MR advanced sequences will be added to a standard breast MRI protocol for evaluation purpose.