Active clinical trials for "Breast Neoplasms"

The purpose of this study is to collect clinical data, blood samples, and self reported symptoms of peripheral neuropathy from Chinese patients with breast cancer after treatment with taxanes. This data will be used to develop predictive markers for neuropathy.

The use of circulating tumor DNA (ctDNA) as a noninvasive test for breast cancer monitoring throughout the course of the disease

Geneswell BCT is a precise and qualitative in vitro diagnostic test. The expression of 9 genes was obtained from the formalin fixed paraffin embedded block (FFPE) of breast cancer tissue samples by RT-qPCR, and the patients were divided into high-risk group and low-risk group. This test provides prognostic information to assess the risk of recurrence. The BCT score calculated by geneswell BCT was associated with the risk of recurrence. The higher the BCT score, the more likely it is to relapse, and vice versa.

Breast cancer directly affects women physically, psychologically and socially in the process of diagnosis, treatment and post-treatment. Despite the improvement in conventional breast cancer treatments that led to longer disease-free survival, many patients still suffer from physical, psychological, social and spiritual problems after treatment. The neglect of physical and psychosocial problems faced by patients who are between 1 and 2 years after the end of treatment negatively impacts the quality of life of this population.

Using color Doppler ultrasound to screen people with breast masses. For the patients who show only a single mass on either side of the breast in color Doppler ultrasound, computer tomography photoacoustic breast imaging will be performed. By comparing the two modalities, the blood vessel imaging performance of the computer tomography photoacoustic breast imaging system developed by Union Photoacoustic technologies Co., Ltd is evaluated. The evaluation index of this experiment is the percentage of blood vessel pixels in the same region of interest (Region Of Interest, ROI) to the total area of the ROI.

The correct categorization of breast density is essential to adapt the diagnostic examination to the needs of each patient. Assessment of breast density is performed visually by radiologists. Some authors have detected that this method involves considerable intra and interobserver variability. On the other hand, automated systems for measuring breast density are becoming more and more frequent. Machine learning is a domain of Artificial Intelligence, which comprises the process of developing systems with the ability to learn and make predictions using data. These systems are designed to aid healthcare professional decision making. In the present work, the multicenter study of external validation of a tool based on deep learning for the categorization of mammographic breast density is proposed.

Neoadjuvant or primary systemic treatment is increasingly applied in the treatment of operable breast cancer. Down staging of the primary tumor is one of the important goals of neoadjuvant chemotherapy treatment (NCT), thereby permitting breast-conserving treatment without affecting the risk for a local relapse. Complete pathological response (pCR) rates after NCT vary across histological subtypes and can be more than 60% in HER2-positive disease with dual blockade therapy. Down staging of the axilla is also observed in patients initially presenting with metastatic lymph nodes. pCR rates in the axilla vary between 22% and 42% in reported series, again depending on tumor subtype. Omission of axillary lymph node dissection (ALND) can avoid the post-operative morbidity such as lymphedema in the short or long term follow-up. Metastatic lymph node status is hard to be stated as a pCR in the axilla by using physical examination or imaging such as ultrasonography or tomography after complete NCT. Good response to the axilla lymph node causing the difficulty of tissue proof by using core needle biopsy, though the investigator knew that biopsy stands for the definite tool for the confirmation of the residual disease. One proposed method to decrease the false-negative rate (FNR) is clip placement in the positive node at initial diagnosis with confirmation of clipped node resection at surgery. The correlation between the axillary lymph node identified on initial axillary ultrasound and the sentinel lymph nodes (SLNs) identified at surgery has not been fully evaluated. The concordance between percutaneous biopsy and the lymph node resected at the time of SLNB is not 100%. Sometimes, the initial node identified by ultrasound is not one of the SLNs. The impairment of the performance of SLNB might correlated to the alteration of lymphatic flow induced by tissue fibrosis or tumor deposits after NCT. The investigator hypothesized that the clip placement at diagnosis of node-positive disease with removal of the clipped node during SLNB reduces the FNR of SLNB after NCT. Here, we evaluate how often the lymph node containing the clip placed at percutaneous biopsy before chemotherapy was found at surgery to be one of the SLNs, and how often it was found in the nodes retrieved at ALND. In addition, the investigator report the impact of identification of the clipped node within the SLNs on the FNR of SLNB.

The purpose of this study is to investigate the prevalence germline pathogenic BRCA1/2 mutation in a large group of potential candidate of PARP inhibitors, among the unselected patients with HER2-negative unresectable locally advanced or metastatic breast cancer.

Detecting cancer as early as possible is key to achieving positive outcomes in response to diagnosis and treatment. The current project is aimed at validating a novel blood-based breast cancer identification test (Syantra DX Breast Cancer) that has been developed by Syantra Inc. Syantra DX Breast Cancer measures gene expression signatures in whole blood, and has been retrospectively demonstrated in 780 samples. The test uses proprietary algorithms to analyse gene expression characteristics from a novel multi-biomarker panel, and then classify a sample as positive or negative for breast cancer. Based upon test performance in a retrospective environment, a prospective validation study is being proposed. The primary objective of this study is to validate Syantra DX Breast Cancer methodology and biomarker panel using prospective samples, well categorized by diagnostic imaging scores, pathology outcomes, and subject characteristics.

The purpose of this study is to investigate the factors influencing the decision about breast reconstruction after breast amputation for breast cancer. The study will be conducted at the University Hospital in Brussels using only a questionnaire. The results might help us to evaluate and improve the satisfaction among patients about the received information and guidance.