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.
Objective: To investigate the current clinical practice of sentinel lymph node biopsy (SLNB) in patients with early stage breast cancer in China. Methods: The data of early breast cancer patients who underwent SLNB in 40 Grade III Level A hospitals in China in 2018 will be collected. Different centers, tracer methods, molecular typing and neoadjuvant chemotherapy will be used as stratification factors to analyze the implementation rate, number of detections, positive rate of SLNB and the follow-up treatment.
This study aims to examine the effect of hospital-home linkage short-term rehabilitation therapy using real-time interactive digital healthcare system (Uincare Homeplus) in post-operative patients with breast cancer. This is prospective pilot study. 20 breast cancer patients who underwent wide local excision-axillary lymph node diessection or modified radical mastectomy will be examined, and those with limited range of motion (ROM) of affected shoulder will be enrolled in the study. Shoulder ROM, Quick-DASH, pain evaluation with NRS, quality of life evaluation with FACT-B and EQ-5D will be evaluated on enrollment, 4-week, 8-week, and 12-weeks after enrollment.
This study was designed to evaluate the efficacy and safety of pyrotinib combined with albumin paclitaxel and trastuzumab in the treatment of Her2-positive early or locally advanced breast cancer, and to explore RCB scores and TILs expression and other related molecular markers for pyrrole the efficacy of the treatment with pyrotinib.
Breast cancer (BC) is the most common cancer diagnosis among women and the incidence is increasing. Prognosis and treatment are dependent on the expression of estrogen receptors (ER) in the tumor. ER status is determined by immunohistochemistry (IHC) on biopsy tissue. The ER expression can change over time and be heterogeneous. The IHC score on ER expression is subjective and can lead to intra and inter observer variability. A new computer image analysis software that can give the exact percentage of colored tumor cells on sectional tumor cuts has been developed. It is also possible to quantify the ER expression non invasive by using the tracer 16α-18F-flour-17β-estradiol (FES) and in vivo positron emission tomography (PET) scans. FES-PET/CT has a high background activity in the liver which complicates the visualization of liver metastases. Theoretically, a new whole body parametric scan method makes it possible to distinguish background activity from uptake in liver metastases. Malignant tumors often have an increased perfusion, and previous studies have found that tumors with low metabolism relative to blood flow have the longest disease free survival (DFS). To the best of our knowledge, no previous studies have examined the correlation between ER expression and blood flow.
ABSTRACT BACKGROUND: Breast Cancer (BC) is one of the leading causes of death among women around the world. Integrative oncology, together with conventional medical treatment, has proven to be an important support for the control of cancer symptoms, improvement of quality of life, and contribution to the overall patient health, providing an integrated patient care both physically and emotionally. METHODS: 75 stage II-III breast cancer survivors were randomized (according to age, tumor stage and receptor status) into 2 groups: intervention and control. Within the intervention group (IG) a diet, exercise and mindfulness intervention was performed, while the control group (CG) did not receive any sort of treatment, during 6 months. Passed (at the beginning and end of the research) questionnaires concerning general health, quality of life (EORTC QLQ-C30 and BR23), and diet (Mediterranean diet adherence test and 24-h-recall) and a blood and urine sample was collected to analyze general biochemical variables. RESULTS:
The clinical trial is a phase 1, single-arm trial that will evaluate the safety of the investigational treatment on metastatic cancer in patients who have a deleterious or suspected deleterious BRCA1, BRCA2, or PALB2 genetic alteration. The investigational treatment will involve 2 cycles of a combination of intravenous melphalan, BCNU, low-dose I.V. ethanol, vitamin B12b, and vitamin C in association with autologous hematopoietic stem cell infusion. A dose-escalation schedule will be employed for vitamin C.
The purpose of this research is to evaluate the use of Mepitel Film® in preventing radiation epidermitis in patients receiving radiation treatment for breast cancer. Mepitel® Film is a thin, flexible, waterproof, and breathable film made of a soft silicone layer and polyurethane film. Mepitel ® film is not made with natural rubber latex (NRL). It is FDA approved for the management of superficial wounds, such as superficial burns. As a part of this research study, the Mepitel Film® will be placed prior to participant's first radiation treatment, and will be removed one week following the end of treatment. Throughout the study, information will be collected to analyze at the end of the research study to determine if the Mepitel Film® helps prevent skin breakdown. The subjects will be followed per standard of care and examined for skin redness, warmth or swelling as normally examined and cared for during standard radiation therapy. If radiation burns are noted, the subject will be treated normally and depending on the severity of the radiation burns, may be removed from the study treatment and treated through standard of care.
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.
Purpose: To assess the utility of combined, simultaneous positron emission tomography (PET) and magnetic resonance imaging (MRI), collectively called PET-MR, in assessing response to neoadjuvant chemotherapy and surgical treatment decisions for operable breast cancers. Participants: Adult patients with operable breast cancer that are being treated at UNC with neoadjuvant chemotherapy followed by potentially curative surgical resection. Procedures (methods): Patients who are being treated with neoadjuvant chemotherapy followed by surgical resection and for whom pre- and post-treatment MR imaging is part of planned treatment will undergo additional pre-treatment and post-treatment PET/MR. The response to treatment will be assessed at post-treatment by evaluating change in tumor size from MRI, change in response to dynamic contrast enhanced (DCE) MRI, and 18F-fluorodeoxyglucose (18F-FDG) avidity from PET. Patients will then undergo surgery. Their pathology will be reviewed for treatment effect as assessed by residual cancer burden (RCB) score. Patients will be followed and assessed for recurrence.